WARNING: Logging before InitGoogleLogging() is written to STDERR
I1115 04:16:42.012467 14011 parallel.cpp:48] P2PManager::Init, global rank: [0 of 1] @ 724fdf9a93f3
I1115 04:16:42.600909 14011 gpu_memory.cpp:82] GPUMemory::Manager initialized
I1115 04:16:42.601179 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[0]: total=34058272768 free=33242873856
I1115 04:16:42.602708 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[1]: total=34058272768 free=33242873856
I1115 04:16:42.604198 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[2]: total=34058272768 free=33242873856
I1115 04:16:42.605653 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[3]: total=34058272768 free=33242873856
I1115 04:16:42.607101 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[4]: total=34058272768 free=33242873856
I1115 04:16:42.608628 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[5]: total=34058272768 free=33242873856
I1115 04:16:42.610162 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[6]: total=34058272768 free=33242873856
I1115 04:16:42.611773 14011 gpu_memory.cpp:84] Total memory: 34058272768, Free: 33242873856, dev_info[7]: total=34058272768 free=33242873856
I1115 04:16:42.012681 14011 caffe.cpp:702] This is NVCaffe 0.17.3 started at Fri Nov 15 04:16:42 2019
I1115 04:16:42.997299 14011 caffe.cpp:704] CuDNN version: 7604
I1115 04:16:42.997308 14011 caffe.cpp:705] CuBLAS version: 10201
I1115 04:16:42.997310 14011 caffe.cpp:706] CUDA version: 10010
I1115 04:16:42.997313 14011 caffe.cpp:707] CUDA driver version: 10010
I1115 04:16:42.997316 14011 caffe.cpp:708] Arguments:
[0]: /usr/local/bin/caffe
[1]: train
[2]: --solver=/workspace/jobs/20191115-041640-fc72/solver.prototxt
[3]: --gpu=0,1,2,3,4,5,6,7
[4]: --weights=/data/DIGITS/KITTI/bvlc_googlenet.caffemodel
I1115 04:16:43.009878 14011 upgrade_proto.cpp:1047] Attempting to upgrade input file specified using deprecated 'solver_type' field (enum)': /workspace/jobs/20191115-041640-fc72/solver.prototxt
I1115 04:16:43.009896 14011 upgrade_proto.cpp:1054] Successfully upgraded file specified using deprecated 'solver_type' field (enum) to 'type' field (string).
W1115 04:16:43.009902 14011 upgrade_proto.cpp:1056] Note that future Caffe releases will only support 'type' field (string) for a solver's type.
I1115 04:16:43.010093 14011 caffe.cpp:216] Using GPUs 0, 1, 2, 3, 4, 5, 6, 7
I1115 04:16:43.011612 14011 caffe.cpp:221] GPU 0: Tesla V100-SXM2-32GB
I1115 04:16:43.013022 14011 caffe.cpp:221] GPU 1: Tesla V100-SXM2-32GB
I1115 04:16:43.014361 14011 caffe.cpp:221] GPU 2: Tesla V100-SXM2-32GB
I1115 04:16:43.015708 14011 caffe.cpp:221] GPU 3: Tesla V100-SXM2-32GB
I1115 04:16:43.017122 14011 caffe.cpp:221] GPU 4: Tesla V100-SXM2-32GB
I1115 04:16:43.018535 14011 caffe.cpp:221] GPU 5: Tesla V100-SXM2-32GB
I1115 04:16:43.019894 14011 caffe.cpp:221] GPU 6: Tesla V100-SXM2-32GB
I1115 04:16:43.021311 14011 caffe.cpp:221] GPU 7: Tesla V100-SXM2-32GB
I1115 04:16:43.021379 14011 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:43.021389 14011 solver.cpp:43] Initializing solver from parameters:
test_iter: 35
test_interval: 200
base_lr: 0.0001
display: 25
max_iter: 6000
lr_policy: "step"
gamma: 0.1
momentum: 0.9
weight_decay: 1e-06
stepsize: 1980
snapshot: 200
snapshot_prefix: "snapshot"
solver_mode: GPU
device_id: 0
random_seed: 42
net: "train_val.prototxt"
train_state {
level: 0
stage: ""
}
type: "Adam"
I1115 04:16:43.021562 14011 solver.cpp:84] Creating training net from net file: train_val.prototxt
I1115 04:16:43.022964 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_data
I1115 04:16:43.022974 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_label
I1115 04:16:43.022979 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer val_transform
I1115 04:16:43.023051 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer cluster
I1115 04:16:43.023056 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer cluster_gt
I1115 04:16:43.023078 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer score
I1115 04:16:43.023082 14011 net.cpp:462] The NetState phase (0) differed from the phase (1) specified by a rule in layer mAP
I1115 04:16:43.023301 14011 net.cpp:86] Initializing net from parameters:
state {
phase: TRAIN
level: 0
stage: ""
}
layer {
name: "train_data"
type: "Data"
top: "data"
include {
phase: TRAIN
}
transform_param {
mean_file: "/workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto"
}
data_param {
source: "/workspace/jobs/20191115-032633-9cab/train_db/features"
batch_size: 4
backend: LMDB
}
}
layer {
name: "train_label"
type: "Data"
top: "label"
include {
phase: TRAIN
}
data_param {
source: "/workspace/jobs/20191115-032633-9cab/train_db/labels"
batch_size: 4
backend: LMDB
}
}
layer {
name: "train_transform"
type: "DetectNetTransformation"
bottom: "data"
bottom: "label"
top: "transformed_data"
top: "transformed_label"
include {
phase: TRAIN
}
transform_param {
mean_value: 127
}
detectnet_groundtruth_param {
stride: 16
scale_cvg: 0.4
gridbox_type: GRIDBOX_MIN
min_cvg_len: 20
coverage_type: RECTANGULAR
image_size_x: 1248
image_size_y: 384
obj_norm: true
crop_bboxes: true
object_class {
src: 1
dst: 0
}
}
detectnet_augmentation_param {
crop_prob: 1
shift_x: 32
shift_y: 32
scale_prob: 0.4
scale_min: 0.8
scale_max: 1.2
flip_prob: 0.5
rotation_prob: 0
max_rotate_degree: 5
hue_rotation_prob: 0.8
hue_rotation: 30
desaturation_prob: 0.8
desaturation_max: 0.8
}
}
layer {
name: "slice-label"
type: "Slice"
bottom: "transformed_label"
top: "foreground-label"
top: "bbox-label"
top: "size-label"
top: "obj-label"
top: "coverage-label"
slice_param {
slice_dim: 1
slice_point: 1
slice_point: 5
slice_point: 7
slice_point: 8
}
}
layer {
name: "coverage-block"
type: "Concat"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
top: "coverage-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "size-block"
type: "Concat"
bottom: "size-label"
bottom: "size-label"
top: "size-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "obj-block"
type: "Concat"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
top: "obj-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "bb-label-norm"
type: "Eltwise"
bottom: "bbox-label"
bottom: "size-block"
top: "bbox-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "bb-obj-norm"
type: "Eltwise"
bottom: "bbox-label-norm"
bottom: "obj-block"
top: "bbox-obj-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "conv1/7x7_s2"
type: "Convolution"
bottom: "transformed_data"
top: "conv1/7x7_s2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv1/relu_7x7"
type: "ReLU"
bottom: "conv1/7x7_s2"
top: "conv1/7x7_s2"
}
layer {
name: "pool1/3x3_s2"
type: "Pooling"
bottom: "conv1/7x7_s2"
top: "pool1/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "pool1/norm1"
type: "LRN"
bottom: "pool1/3x3_s2"
top: "pool1/norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2/3x3_reduce"
type: "Convolution"
bottom: "pool1/norm1"
top: "conv2/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3_reduce"
type: "ReLU"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3_reduce"
}
layer {
name: "conv2/3x3"
type: "Convolution"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3"
type: "ReLU"
bottom: "conv2/3x3"
top: "conv2/3x3"
}
layer {
name: "conv2/norm2"
type: "LRN"
bottom: "conv2/3x3"
top: "conv2/norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "pool2/3x3_s2"
type: "Pooling"
bottom: "conv2/norm2"
top: "pool2/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_3a/1x1"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_1x1"
type: "ReLU"
bottom: "inception_3a/1x1"
top: "inception_3a/1x1"
}
layer {
name: "inception_3a/3x3_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3_reduce"
}
layer {
name: "inception_3a/3x3"
type: "Convolution"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3"
type: "ReLU"
bottom: "inception_3a/3x3"
top: "inception_3a/3x3"
}
layer {
name: "inception_3a/5x5_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5_reduce"
}
layer {
name: "inception_3a/5x5"
type: "Convolution"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5"
type: "ReLU"
bottom: "inception_3a/5x5"
top: "inception_3a/5x5"
}
layer {
name: "inception_3a/pool"
type: "Pooling"
bottom: "pool2/3x3_s2"
top: "inception_3a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3a/pool_proj"
type: "Convolution"
bottom: "inception_3a/pool"
top: "inception_3a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_pool_proj"
type: "ReLU"
bottom: "inception_3a/pool_proj"
top: "inception_3a/pool_proj"
}
layer {
name: "inception_3a/output"
type: "Concat"
bottom: "inception_3a/1x1"
bottom: "inception_3a/3x3"
bottom: "inception_3a/5x5"
bottom: "inception_3a/pool_proj"
top: "inception_3a/output"
}
layer {
name: "inception_3b/1x1"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_1x1"
type: "ReLU"
bottom: "inception_3b/1x1"
top: "inception_3b/1x1"
}
layer {
name: "inception_3b/3x3_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3_reduce"
}
layer {
name: "inception_3b/3x3"
type: "Convolution"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3"
type: "ReLU"
bottom: "inception_3b/3x3"
top: "inception_3b/3x3"
}
layer {
name: "inception_3b/5x5_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5_reduce"
}
layer {
name: "inception_3b/5x5"
type: "Convolution"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5"
type: "ReLU"
bottom: "inception_3b/5x5"
top: "inception_3b/5x5"
}
layer {
name: "inception_3b/pool"
type: "Pooling"
bottom: "inception_3a/output"
top: "inception_3b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3b/pool_proj"
type: "Convolution"
bottom: "inception_3b/pool"
top: "inception_3b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_pool_proj"
type: "ReLU"
bottom: "inception_3b/pool_proj"
top: "inception_3b/pool_proj"
}
layer {
name: "inception_3b/output"
type: "Concat"
bottom: "inception_3b/1x1"
bottom: "inception_3b/3x3"
bottom: "inception_3b/5x5"
bottom: "inception_3b/pool_proj"
top: "inception_3b/output"
}
layer {
name: "pool3/3x3_s2"
type: "Pooling"
bottom: "inception_3b/output"
top: "pool3/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_4a/1x1"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_1x1"
type: "ReLU"
bottom: "inception_4a/1x1"
top: "inception_4a/1x1"
}
layer {
name: "inception_4a/3x3_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3_reduce"
}
layer {
name: "inception_4a/3x3"
type: "Convolution"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 208
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3"
type: "ReLU"
bottom: "inception_4a/3x3"
top: "inception_4a/3x3"
}
layer {
name: "inception_4a/5x5_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5_reduce"
}
layer {
name: "inception_4a/5x5"
type: "Convolution"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 48
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5"
type: "ReLU"
bottom: "inception_4a/5x5"
top: "inception_4a/5x5"
}
layer {
name: "inception_4a/pool"
type: "Pooling"
bottom: "pool3/3x3_s2"
top: "inception_4a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4a/pool_proj"
type: "Convolution"
bottom: "inception_4a/pool"
top: "inception_4a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_pool_proj"
type: "ReLU"
bottom: "inception_4a/pool_proj"
top: "inception_4a/pool_proj"
}
layer {
name: "inception_4a/output"
type: "Concat"
bottom: "inception_4a/1x1"
bottom: "inception_4a/3x3"
bottom: "inception_4a/5x5"
bottom: "inception_4a/pool_proj"
top: "inception_4a/output"
}
layer {
name: "inception_4b/1x1"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_1x1"
type: "ReLU"
bottom: "inception_4b/1x1"
top: "inception_4b/1x1"
}
layer {
name: "inception_4b/3x3_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3_reduce"
}
layer {
name: "inception_4b/3x3"
type: "Convolution"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 224
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3"
type: "ReLU"
bottom: "inception_4b/3x3"
top: "inception_4b/3x3"
}
layer {
name: "inception_4b/5x5_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5_reduce"
}
layer {
name: "inception_4b/5x5"
type: "Convolution"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5"
type: "ReLU"
bottom: "inception_4b/5x5"
top: "inception_4b/5x5"
}
layer {
name: "inception_4b/pool"
type: "Pooling"
bottom: "inception_4a/output"
top: "inception_4b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4b/pool_proj"
type: "Convolution"
bottom: "inception_4b/pool"
top: "inception_4b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_pool_proj"
type: "ReLU"
bottom: "inception_4b/pool_proj"
top: "inception_4b/pool_proj"
}
layer {
name: "inception_4b/output"
type: "Concat"
bottom: "inception_4b/1x1"
bottom: "inception_4b/3x3"
bottom: "inception_4b/5x5"
bottom: "inception_4b/pool_proj"
top: "inception_4b/output"
}
layer {
name: "inception_4c/1x1"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_1x1"
type: "ReLU"
bottom: "inception_4c/1x1"
top: "inception_4c/1x1"
}
layer {
name: "inception_4c/3x3_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3_reduce"
}
layer {
name: "inception_4c/3x3"
type: "Convolution"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3"
type: "ReLU"
bottom: "inception_4c/3x3"
top: "inception_4c/3x3"
}
layer {
name: "inception_4c/5x5_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5_reduce"
}
layer {
name: "inception_4c/5x5"
type: "Convolution"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5"
type: "ReLU"
bottom: "inception_4c/5x5"
top: "inception_4c/5x5"
}
layer {
name: "inception_4c/pool"
type: "Pooling"
bottom: "inception_4b/output"
top: "inception_4c/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4c/pool_proj"
type: "Convolution"
bottom: "inception_4c/pool"
top: "inception_4c/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_pool_proj"
type: "ReLU"
bottom: "inception_4c/pool_proj"
top: "inception_4c/pool_proj"
}
layer {
name: "inception_4c/output"
type: "Concat"
bottom: "inception_4c/1x1"
bottom: "inception_4c/3x3"
bottom: "inception_4c/5x5"
bottom: "inception_4c/pool_proj"
top: "inception_4c/output"
}
layer {
name: "inception_4d/1x1"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_1x1"
type: "ReLU"
bottom: "inception_4d/1x1"
top: "inception_4d/1x1"
}
layer {
name: "inception_4d/3x3_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 144
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3_reduce"
}
layer {
name: "inception_4d/3x3"
type: "Convolution"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 288
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3"
type: "ReLU"
bottom: "inception_4d/3x3"
top: "inception_4d/3x3"
}
layer {
name: "inception_4d/5x5_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5_reduce"
}
layer {
name: "inception_4d/5x5"
type: "Convolution"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5"
type: "ReLU"
bottom: "inception_4d/5x5"
top: "inception_4d/5x5"
}
layer {
name: "inception_4d/pool"
type: "Pooling"
bottom: "inception_4c/output"
top: "inception_4d/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4d/pool_proj"
type: "Convolution"
bottom: "inception_4d/pool"
top: "inception_4d/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_pool_proj"
type: "ReLU"
bottom: "inception_4d/pool_proj"
top: "inception_4d/pool_proj"
}
layer {
name: "inception_4d/output"
type: "Concat"
bottom: "inception_4d/1x1"
bottom: "inception_4d/3x3"
bottom: "inception_4d/5x5"
bottom: "inception_4d/pool_proj"
top: "inception_4d/output"
}
layer {
name: "inception_4e/1x1"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_1x1"
type: "ReLU"
bottom: "inception_4e/1x1"
top: "inception_4e/1x1"
}
layer {
name: "inception_4e/3x3_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3_reduce"
}
layer {
name: "inception_4e/3x3"
type: "Convolution"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 320
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3"
type: "ReLU"
bottom: "inception_4e/3x3"
top: "inception_4e/3x3"
}
layer {
name: "inception_4e/5x5_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5_reduce"
}
layer {
name: "inception_4e/5x5"
type: "Convolution"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5"
type: "ReLU"
bottom: "inception_4e/5x5"
top: "inception_4e/5x5"
}
layer {
name: "inception_4e/pool"
type: "Pooling"
bottom: "inception_4d/output"
top: "inception_4e/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4e/pool_proj"
type: "Convolution"
bottom: "inception_4e/pool"
top: "inception_4e/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_pool_proj"
I1115 04:16:43.024580 14011 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:43.024590 14011 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:43.024595 14011 layer_factory.hpp:172] Creating layer 'train_data' of type 'Data'
I1115 04:16:43.024600 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.024675 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.024767 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:43.026819 14084 internal_thread.cpp:78] Started internal thread 14084 on device 0, rank 0
I1115 04:16:43.026845 14084 batch_transformer.cpp:51] Started BatchTransformer thread 14084
I1115 04:16:43.026855 14084 blocking_queue.cpp:40] Data layer prefetch queue empty
I1115 04:16:43.064638 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:43.098253 14011 net.cpp:205] Created Layer train_data (0)
I1115 04:16:43.098268 14011 net.cpp:547] train_data -> data
I1115 04:16:43.098304 14011 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:43.098320 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.099967 14085 internal_thread.cpp:78] Started internal thread 14085 on device 0, rank 0
I1115 04:16:43.100018 14085 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:43.111687 14011 data_layer.cpp:199] [n0.d0.r0] Output data size: 4, 3, 384, 1248
I1115 04:16:43.111713 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:43.145241 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:43.178576 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.178663 14011 net.cpp:265] Setting up train_data
I1115 04:16:43.178671 14011 net.cpp:272] TRAIN Top shape for layer 0 'train_data' 4 3 384 1248 (5750784)
I1115 04:16:43.178694 14011 layer_factory.hpp:172] Creating layer 'train_label' of type 'Data'
I1115 04:16:43.178699 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.180235 14086 internal_thread.cpp:78] Started internal thread 14086 on device 0, rank 0
I1115 04:16:43.180280 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.180358 14011 net.cpp:205] Created Layer train_label (1)
I1115 04:16:43.180366 14011 net.cpp:547] train_label -> label
I1115 04:16:43.180387 14011 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:43.180393 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.182071 14087 internal_thread.cpp:78] Started internal thread 14087 on device 0, rank 0
I1115 04:16:43.182083 14087 batch_transformer.cpp:51] Started BatchTransformer thread 14087
I1115 04:16:43.183554 14088 internal_thread.cpp:78] Started internal thread 14088 on device 0, rank 0
I1115 04:16:43.183598 14088 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:43.183755 14011 data_layer.cpp:199] [n0.d0.r0] Output data size: 4, 1, 25, 16
I1115 04:16:43.183779 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:43.183843 14011 net.cpp:265] Setting up train_label
I1115 04:16:43.183849 14011 net.cpp:272] TRAIN Top shape for layer 1 'train_label' 4 1 25 16 (1600)
I1115 04:16:43.183874 14011 layer_factory.hpp:172] Creating layer 'train_transform' of type 'DetectNetTransformation'
I1115 04:16:43.183878 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.185683 14089 internal_thread.cpp:78] Started internal thread 14089 on device 0, rank 0
I1115 04:16:43.185730 14011 net.cpp:205] Created Layer train_transform (2)
I1115 04:16:43.185745 14011 net.cpp:577] train_transform <- data
I1115 04:16:43.185755 14011 net.cpp:577] train_transform <- label
I1115 04:16:43.185760 14011 net.cpp:547] train_transform -> transformed_data
I1115 04:16:43.185765 14011 net.cpp:547] train_transform -> transformed_label
I1115 04:16:43.186668 14011 net.cpp:265] Setting up train_transform
I1115 04:16:43.186677 14011 net.cpp:272] TRAIN Top shape for layer 2 'train_transform' 4 3 384 1248 (5750784)
I1115 04:16:43.186686 14011 net.cpp:272] TRAIN Top shape for layer 2 'train_transform' 4 9 24 78 (67392)
I1115 04:16:43.186691 14011 layer_factory.hpp:172] Creating layer 'slice-label' of type 'Slice'
I1115 04:16:43.186702 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.186717 14011 net.cpp:205] Created Layer slice-label (3)
I1115 04:16:43.186720 14011 net.cpp:577] slice-label <- transformed_label
I1115 04:16:43.186725 14011 net.cpp:547] slice-label -> foreground-label
I1115 04:16:43.186731 14011 net.cpp:547] slice-label -> bbox-label
I1115 04:16:43.186736 14011 net.cpp:547] slice-label -> size-label
I1115 04:16:43.186740 14011 net.cpp:547] slice-label -> obj-label
I1115 04:16:43.186743 14011 net.cpp:547] slice-label -> coverage-label
I1115 04:16:43.186808 14011 net.cpp:265] Setting up slice-label
I1115 04:16:43.186813 14011 net.cpp:272] TRAIN Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:43.186820 14011 net.cpp:272] TRAIN Top shape for layer 3 'slice-label' 4 4 24 78 (29952)
I1115 04:16:43.186825 14011 net.cpp:272] TRAIN Top shape for layer 3 'slice-label' 4 2 24 78 (14976)
I1115 04:16:43.186828 14011 net.cpp:272] TRAIN Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:43.186832 14011 net.cpp:272] TRAIN Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:43.186837 14011 layer_factory.hpp:172] Creating layer 'foreground-label_slice-label_0_split' of type 'Split'
I1115 04:16:43.186843 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.186852 14011 net.cpp:205] Created Layer foreground-label_slice-label_0_split (4)
I1115 04:16:43.186857 14011 net.cpp:577] foreground-label_slice-label_0_split <- foreground-label
I1115 04:16:43.186861 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_0
I1115 04:16:43.186866 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_1
I1115 04:16:43.186913 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_2
I1115 04:16:43.186918 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_3
I1115 04:16:43.186964 14011 net.cpp:265] Setting up foreground-label_slice-label_0_split
I1115 04:16:43.186969 14011 net.cpp:272] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:43.186975 14011 net.cpp:272] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:43.186980 14011 net.cpp:272] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:43.186985 14011 net.cpp:272] TRAIN Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:43.186990 14011 layer_factory.hpp:172] Creating layer 'size-label_slice-label_2_split' of type 'Split'
I1115 04:16:43.186993 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187007 14011 net.cpp:205] Created Layer size-label_slice-label_2_split (5)
I1115 04:16:43.187012 14011 net.cpp:577] size-label_slice-label_2_split <- size-label
I1115 04:16:43.187016 14011 net.cpp:547] size-label_slice-label_2_split -> size-label_slice-label_2_split_0
I1115 04:16:43.187021 14011 net.cpp:547] size-label_slice-label_2_split -> size-label_slice-label_2_split_1
I1115 04:16:43.187047 14011 net.cpp:265] Setting up size-label_slice-label_2_split
I1115 04:16:43.187050 14011 net.cpp:272] TRAIN Top shape for layer 5 'size-label_slice-label_2_split' 4 2 24 78 (14976)
I1115 04:16:43.187057 14011 net.cpp:272] TRAIN Top shape for layer 5 'size-label_slice-label_2_split' 4 2 24 78 (14976)
I1115 04:16:43.187062 14011 layer_factory.hpp:172] Creating layer 'obj-label_slice-label_3_split' of type 'Split'
I1115 04:16:43.187065 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187077 14011 net.cpp:205] Created Layer obj-label_slice-label_3_split (6)
I1115 04:16:43.187083 14011 net.cpp:577] obj-label_slice-label_3_split <- obj-label
I1115 04:16:43.187086 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_0
I1115 04:16:43.187090 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_1
I1115 04:16:43.187096 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_2
I1115 04:16:43.187100 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_3
I1115 04:16:43.187139 14011 net.cpp:265] Setting up obj-label_slice-label_3_split
I1115 04:16:43.187144 14011 net.cpp:272] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:43.187150 14011 net.cpp:272] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:43.187153 14011 net.cpp:272] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:43.187157 14011 net.cpp:272] TRAIN Top shape for layer 6 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:43.187162 14011 layer_factory.hpp:172] Creating layer 'coverage-block' of type 'Concat'
I1115 04:16:43.187167 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187183 14011 net.cpp:205] Created Layer coverage-block (7)
I1115 04:16:43.187188 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_0
I1115 04:16:43.187192 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_1
I1115 04:16:43.187197 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_2
I1115 04:16:43.187201 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_3
I1115 04:16:43.187206 14011 net.cpp:547] coverage-block -> coverage-block
I1115 04:16:43.187222 14011 net.cpp:265] Setting up coverage-block
I1115 04:16:43.187227 14011 net.cpp:272] TRAIN Top shape for layer 7 'coverage-block' 4 4 24 78 (29952)
I1115 04:16:43.187244 14011 layer_factory.hpp:172] Creating layer 'size-block' of type 'Concat'
I1115 04:16:43.187248 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187265 14011 net.cpp:205] Created Layer size-block (8)
I1115 04:16:43.187269 14011 net.cpp:577] size-block <- size-label_slice-label_2_split_0
I1115 04:16:43.187274 14011 net.cpp:577] size-block <- size-label_slice-label_2_split_1
I1115 04:16:43.187278 14011 net.cpp:547] size-block -> size-block
I1115 04:16:43.187299 14011 net.cpp:265] Setting up size-block
I1115 04:16:43.187304 14011 net.cpp:272] TRAIN Top shape for layer 8 'size-block' 4 4 24 78 (29952)
I1115 04:16:43.187309 14011 layer_factory.hpp:172] Creating layer 'size-block_size-block_0_split' of type 'Split'
I1115 04:16:43.187314 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187325 14011 net.cpp:205] Created Layer size-block_size-block_0_split (9)
I1115 04:16:43.187330 14011 net.cpp:577] size-block_size-block_0_split <- size-block
I1115 04:16:43.187335 14011 net.cpp:547] size-block_size-block_0_split -> size-block_size-block_0_split_0
I1115 04:16:43.187338 14011 net.cpp:547] size-block_size-block_0_split -> size-block_size-block_0_split_1
I1115 04:16:43.187363 14011 net.cpp:265] Setting up size-block_size-block_0_split
I1115 04:16:43.187367 14011 net.cpp:272] TRAIN Top shape for layer 9 'size-block_size-block_0_split' 4 4 24 78 (29952)
I1115 04:16:43.187373 14011 net.cpp:272] TRAIN Top shape for layer 9 'size-block_size-block_0_split' 4 4 24 78 (29952)
I1115 04:16:43.187378 14011 layer_factory.hpp:172] Creating layer 'obj-block' of type 'Concat'
I1115 04:16:43.187381 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187387 14011 net.cpp:205] Created Layer obj-block (10)
I1115 04:16:43.187391 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_0
I1115 04:16:43.187395 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_1
I1115 04:16:43.187399 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_2
I1115 04:16:43.187403 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_3
I1115 04:16:43.187407 14011 net.cpp:547] obj-block -> obj-block
I1115 04:16:43.187420 14011 net.cpp:265] Setting up obj-block
I1115 04:16:43.187424 14011 net.cpp:272] TRAIN Top shape for layer 10 'obj-block' 4 4 24 78 (29952)
I1115 04:16:43.187429 14011 layer_factory.hpp:172] Creating layer 'obj-block_obj-block_0_split' of type 'Split'
I1115 04:16:43.187433 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187439 14011 net.cpp:205] Created Layer obj-block_obj-block_0_split (11)
I1115 04:16:43.187443 14011 net.cpp:577] obj-block_obj-block_0_split <- obj-block
I1115 04:16:43.187446 14011 net.cpp:547] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_0
I1115 04:16:43.187450 14011 net.cpp:547] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_1
I1115 04:16:43.187474 14011 net.cpp:265] Setting up obj-block_obj-block_0_split
I1115 04:16:43.187477 14011 net.cpp:272] TRAIN Top shape for layer 11 'obj-block_obj-block_0_split' 4 4 24 78 (29952)
I1115 04:16:43.187482 14011 net.cpp:272] TRAIN Top shape for layer 11 'obj-block_obj-block_0_split' 4 4 24 78 (29952)
I1115 04:16:43.187489 14011 layer_factory.hpp:172] Creating layer 'bb-label-norm' of type 'Eltwise'
I1115 04:16:43.187492 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187502 14011 net.cpp:205] Created Layer bb-label-norm (12)
I1115 04:16:43.187506 14011 net.cpp:577] bb-label-norm <- bbox-label
I1115 04:16:43.187510 14011 net.cpp:577] bb-label-norm <- size-block_size-block_0_split_0
I1115 04:16:43.187515 14011 net.cpp:547] bb-label-norm -> bbox-label-norm
I1115 04:16:43.187530 14011 net.cpp:265] Setting up bb-label-norm
I1115 04:16:43.187535 14011 net.cpp:272] TRAIN Top shape for layer 12 'bb-label-norm' 4 4 24 78 (29952)
I1115 04:16:43.187551 14011 layer_factory.hpp:172] Creating layer 'bb-obj-norm' of type 'Eltwise'
I1115 04:16:43.187556 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187561 14011 net.cpp:205] Created Layer bb-obj-norm (13)
I1115 04:16:43.187566 14011 net.cpp:577] bb-obj-norm <- bbox-label-norm
I1115 04:16:43.187569 14011 net.cpp:577] bb-obj-norm <- obj-block_obj-block_0_split_0
I1115 04:16:43.187573 14011 net.cpp:547] bb-obj-norm -> bbox-obj-label-norm
I1115 04:16:43.187592 14011 net.cpp:265] Setting up bb-obj-norm
I1115 04:16:43.187595 14011 net.cpp:272] TRAIN Top shape for layer 13 'bb-obj-norm' 4 4 24 78 (29952)
I1115 04:16:43.187602 14011 layer_factory.hpp:172] Creating layer 'conv1/7x7_s2' of type 'Convolution'
I1115 04:16:43.187605 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:43.187628 14011 net.cpp:205] Created Layer conv1/7x7_s2 (14)
I1115 04:16:43.187631 14011 net.cpp:577] conv1/7x7_s2 <- transformed_data
I1115 04:16:43.187635 14011 net.cpp:547] conv1/7x7_s2 -> conv1/7x7_s2
I1115 04:16:44.765964 14011 net.cpp:265] Setting up conv1/7x7_s2
I1115 04:16:44.766019 14011 net.cpp:272] TRAIN Top shape for layer 14 'conv1/7x7_s2' 4 64 192 624 (30670848)
I1115 04:16:44.766106 14011 layer_factory.hpp:172] Creating layer 'conv1/relu_7x7' of type 'ReLU'
I1115 04:16:44.766113 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766139 14011 net.cpp:205] Created Layer conv1/relu_7x7 (15)
I1115 04:16:44.766160 14011 net.cpp:577] conv1/relu_7x7 <- conv1/7x7_s2
I1115 04:16:44.766180 14011 net.cpp:532] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I1115 04:16:44.766201 14011 net.cpp:265] Setting up conv1/relu_7x7
I1115 04:16:44.766211 14011 net.cpp:272] TRAIN Top shape for layer 15 'conv1/relu_7x7' 4 64 192 624 (30670848)
I1115 04:16:44.766222 14011 layer_factory.hpp:172] Creating layer 'pool1/3x3_s2' of type 'Pooling'
I1115 04:16:44.766224 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766244 14011 net.cpp:205] Created Layer pool1/3x3_s2 (16)
I1115 04:16:44.766248 14011 net.cpp:577] pool1/3x3_s2 <- conv1/7x7_s2
I1115 04:16:44.766253 14011 net.cpp:547] pool1/3x3_s2 -> pool1/3x3_s2
I1115 04:16:44.766330 14011 net.cpp:265] Setting up pool1/3x3_s2
I1115 04:16:44.766336 14011 net.cpp:272] TRAIN Top shape for layer 16 'pool1/3x3_s2' 4 64 96 312 (7667712)
I1115 04:16:44.766342 14011 layer_factory.hpp:172] Creating layer 'pool1/norm1' of type 'LRN'
I1115 04:16:44.766346 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766360 14011 net.cpp:205] Created Layer pool1/norm1 (17)
I1115 04:16:44.766363 14011 net.cpp:577] pool1/norm1 <- pool1/3x3_s2
I1115 04:16:44.766367 14011 net.cpp:547] pool1/norm1 -> pool1/norm1
I1115 04:16:44.766407 14011 net.cpp:265] Setting up pool1/norm1
I1115 04:16:44.766412 14011 net.cpp:272] TRAIN Top shape for layer 17 'pool1/norm1' 4 64 96 312 (7667712)
I1115 04:16:44.766417 14011 layer_factory.hpp:172] Creating layer 'conv2/3x3_reduce' of type 'Convolution'
I1115 04:16:44.766422 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766434 14011 net.cpp:205] Created Layer conv2/3x3_reduce (18)
I1115 04:16:44.766438 14011 net.cpp:577] conv2/3x3_reduce <- pool1/norm1
I1115 04:16:44.766443 14011 net.cpp:547] conv2/3x3_reduce -> conv2/3x3_reduce
I1115 04:16:44.766777 14011 net.cpp:265] Setting up conv2/3x3_reduce
I1115 04:16:44.766784 14011 net.cpp:272] TRAIN Top shape for layer 18 'conv2/3x3_reduce' 4 64 96 312 (7667712)
I1115 04:16:44.766794 14011 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.766804 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766810 14011 net.cpp:205] Created Layer conv2/relu_3x3_reduce (19)
I1115 04:16:44.766815 14011 net.cpp:577] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I1115 04:16:44.766866 14011 net.cpp:532] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I1115 04:16:44.766873 14011 net.cpp:265] Setting up conv2/relu_3x3_reduce
I1115 04:16:44.766877 14011 net.cpp:272] TRAIN Top shape for layer 19 'conv2/relu_3x3_reduce' 4 64 96 312 (7667712)
I1115 04:16:44.766883 14011 layer_factory.hpp:172] Creating layer 'conv2/3x3' of type 'Convolution'
I1115 04:16:44.766886 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.766901 14011 net.cpp:205] Created Layer conv2/3x3 (20)
I1115 04:16:44.766906 14011 net.cpp:577] conv2/3x3 <- conv2/3x3_reduce
I1115 04:16:44.766909 14011 net.cpp:547] conv2/3x3 -> conv2/3x3
I1115 04:16:44.769565 14011 net.cpp:265] Setting up conv2/3x3
I1115 04:16:44.769575 14011 net.cpp:272] TRAIN Top shape for layer 20 'conv2/3x3' 4 192 96 312 (23003136)
I1115 04:16:44.769584 14011 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3' of type 'ReLU'
I1115 04:16:44.769588 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.769594 14011 net.cpp:205] Created Layer conv2/relu_3x3 (21)
I1115 04:16:44.769600 14011 net.cpp:577] conv2/relu_3x3 <- conv2/3x3
I1115 04:16:44.769605 14011 net.cpp:532] conv2/relu_3x3 -> conv2/3x3 (in-place)
I1115 04:16:44.769610 14011 net.cpp:265] Setting up conv2/relu_3x3
I1115 04:16:44.769614 14011 net.cpp:272] TRAIN Top shape for layer 21 'conv2/relu_3x3' 4 192 96 312 (23003136)
I1115 04:16:44.769619 14011 layer_factory.hpp:172] Creating layer 'conv2/norm2' of type 'LRN'
I1115 04:16:44.769623 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.769629 14011 net.cpp:205] Created Layer conv2/norm2 (22)
I1115 04:16:44.769634 14011 net.cpp:577] conv2/norm2 <- conv2/3x3
I1115 04:16:44.769637 14011 net.cpp:547] conv2/norm2 -> conv2/norm2
I1115 04:16:44.769663 14011 net.cpp:265] Setting up conv2/norm2
I1115 04:16:44.769668 14011 net.cpp:272] TRAIN Top shape for layer 22 'conv2/norm2' 4 192 96 312 (23003136)
I1115 04:16:44.769682 14011 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2' of type 'Pooling'
I1115 04:16:44.769687 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.769693 14011 net.cpp:205] Created Layer pool2/3x3_s2 (23)
I1115 04:16:44.769697 14011 net.cpp:577] pool2/3x3_s2 <- conv2/norm2
I1115 04:16:44.769701 14011 net.cpp:547] pool2/3x3_s2 -> pool2/3x3_s2
I1115 04:16:44.769737 14011 net.cpp:265] Setting up pool2/3x3_s2
I1115 04:16:44.769742 14011 net.cpp:272] TRAIN Top shape for layer 23 'pool2/3x3_s2' 4 192 48 156 (5750784)
I1115 04:16:44.769747 14011 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2_pool2/3x3_s2_0_split' of type 'Split'
I1115 04:16:44.769752 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.769757 14011 net.cpp:205] Created Layer pool2/3x3_s2_pool2/3x3_s2_0_split (24)
I1115 04:16:44.769762 14011 net.cpp:577] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I1115 04:16:44.769765 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I1115 04:16:44.769769 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I1115 04:16:44.769774 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I1115 04:16:44.769778 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I1115 04:16:44.769820 14011 net.cpp:265] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I1115 04:16:44.769825 14011 net.cpp:272] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:44.769830 14011 net.cpp:272] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:44.769834 14011 net.cpp:272] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:44.769838 14011 net.cpp:272] TRAIN Top shape for layer 24 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:44.769858 14011 layer_factory.hpp:172] Creating layer 'inception_3a/1x1' of type 'Convolution'
I1115 04:16:44.769863 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.769872 14011 net.cpp:205] Created Layer inception_3a/1x1 (25)
I1115 04:16:44.769876 14011 net.cpp:577] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I1115 04:16:44.769881 14011 net.cpp:547] inception_3a/1x1 -> inception_3a/1x1
I1115 04:16:44.770279 14011 net.cpp:265] Setting up inception_3a/1x1
I1115 04:16:44.770287 14011 net.cpp:272] TRAIN Top shape for layer 25 'inception_3a/1x1' 4 64 48 156 (1916928)
I1115 04:16:44.770304 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_1x1' of type 'ReLU'
I1115 04:16:44.770308 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.770314 14011 net.cpp:205] Created Layer inception_3a/relu_1x1 (26)
I1115 04:16:44.770318 14011 net.cpp:577] inception_3a/relu_1x1 <- inception_3a/1x1
I1115 04:16:44.770323 14011 net.cpp:532] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I1115 04:16:44.770329 14011 net.cpp:265] Setting up inception_3a/relu_1x1
I1115 04:16:44.770332 14011 net.cpp:272] TRAIN Top shape for layer 26 'inception_3a/relu_1x1' 4 64 48 156 (1916928)
I1115 04:16:44.770339 14011 layer_factory.hpp:172] Creating layer 'inception_3a/3x3_reduce' of type 'Convolution'
I1115 04:16:44.770341 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.770349 14011 net.cpp:205] Created Layer inception_3a/3x3_reduce (27)
I1115 04:16:44.770354 14011 net.cpp:577] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I1115 04:16:44.770359 14011 net.cpp:547] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I1115 04:16:44.770860 14011 net.cpp:265] Setting up inception_3a/3x3_reduce
I1115 04:16:44.770869 14011 net.cpp:272] TRAIN Top shape for layer 27 'inception_3a/3x3_reduce' 4 96 48 156 (2875392)
I1115 04:16:44.770879 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.770882 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.770887 14011 net.cpp:205] Created Layer inception_3a/relu_3x3_reduce (28)
I1115 04:16:44.770891 14011 net.cpp:577] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I1115 04:16:44.770896 14011 net.cpp:532] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I1115 04:16:44.770901 14011 net.cpp:265] Setting up inception_3a/relu_3x3_reduce
I1115 04:16:44.770905 14011 net.cpp:272] TRAIN Top shape for layer 28 'inception_3a/relu_3x3_reduce' 4 96 48 156 (2875392)
I1115 04:16:44.770916 14011 layer_factory.hpp:172] Creating layer 'inception_3a/3x3' of type 'Convolution'
I1115 04:16:44.770920 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.770928 14011 net.cpp:205] Created Layer inception_3a/3x3 (29)
I1115 04:16:44.770932 14011 net.cpp:577] inception_3a/3x3 <- inception_3a/3x3_reduce
I1115 04:16:44.770936 14011 net.cpp:547] inception_3a/3x3 -> inception_3a/3x3
I1115 04:16:44.773138 14011 net.cpp:265] Setting up inception_3a/3x3
I1115 04:16:44.773149 14011 net.cpp:272] TRAIN Top shape for layer 29 'inception_3a/3x3' 4 128 48 156 (3833856)
I1115 04:16:44.773157 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3' of type 'ReLU'
I1115 04:16:44.773161 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.773167 14011 net.cpp:205] Created Layer inception_3a/relu_3x3 (30)
I1115 04:16:44.773171 14011 net.cpp:577] inception_3a/relu_3x3 <- inception_3a/3x3
I1115 04:16:44.773176 14011 net.cpp:532] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I1115 04:16:44.773182 14011 net.cpp:265] Setting up inception_3a/relu_3x3
I1115 04:16:44.773186 14011 net.cpp:272] TRAIN Top shape for layer 30 'inception_3a/relu_3x3' 4 128 48 156 (3833856)
I1115 04:16:44.773207 14011 layer_factory.hpp:172] Creating layer 'inception_3a/5x5_reduce' of type 'Convolution'
I1115 04:16:44.773212 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.773221 14011 net.cpp:205] Created Layer inception_3a/5x5_reduce (31)
I1115 04:16:44.773226 14011 net.cpp:577] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I1115 04:16:44.773231 14011 net.cpp:547] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I1115 04:16:44.773499 14011 net.cpp:265] Setting up inception_3a/5x5_reduce
I1115 04:16:44.773506 14011 net.cpp:272] TRAIN Top shape for layer 31 'inception_3a/5x5_reduce' 4 16 48 156 (479232)
I1115 04:16:44.773522 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.773527 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.773535 14011 net.cpp:205] Created Layer inception_3a/relu_5x5_reduce (32)
I1115 04:16:44.773540 14011 net.cpp:577] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I1115 04:16:44.773543 14011 net.cpp:532] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I1115 04:16:44.773550 14011 net.cpp:265] Setting up inception_3a/relu_5x5_reduce
I1115 04:16:44.773552 14011 net.cpp:272] TRAIN Top shape for layer 32 'inception_3a/relu_5x5_reduce' 4 16 48 156 (479232)
I1115 04:16:44.773557 14011 layer_factory.hpp:172] Creating layer 'inception_3a/5x5' of type 'Convolution'
I1115 04:16:44.773561 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.773569 14011 net.cpp:205] Created Layer inception_3a/5x5 (33)
I1115 04:16:44.773573 14011 net.cpp:577] inception_3a/5x5 <- inception_3a/5x5_reduce
I1115 04:16:44.773577 14011 net.cpp:547] inception_3a/5x5 -> inception_3a/5x5
I1115 04:16:44.773974 14011 net.cpp:265] Setting up inception_3a/5x5
I1115 04:16:44.773983 14011 net.cpp:272] TRAIN Top shape for layer 33 'inception_3a/5x5' 4 32 48 156 (958464)
I1115 04:16:44.773990 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5' of type 'ReLU'
I1115 04:16:44.774001 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.774008 14011 net.cpp:205] Created Layer inception_3a/relu_5x5 (34)
I1115 04:16:44.774011 14011 net.cpp:577] inception_3a/relu_5x5 <- inception_3a/5x5
I1115 04:16:44.774015 14011 net.cpp:532] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I1115 04:16:44.774021 14011 net.cpp:265] Setting up inception_3a/relu_5x5
I1115 04:16:44.774024 14011 net.cpp:272] TRAIN Top shape for layer 34 'inception_3a/relu_5x5' 4 32 48 156 (958464)
I1115 04:16:44.774029 14011 layer_factory.hpp:172] Creating layer 'inception_3a/pool' of type 'Pooling'
I1115 04:16:44.774034 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.774039 14011 net.cpp:205] Created Layer inception_3a/pool (35)
I1115 04:16:44.774044 14011 net.cpp:577] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I1115 04:16:44.774047 14011 net.cpp:547] inception_3a/pool -> inception_3a/pool
I1115 04:16:44.774086 14011 net.cpp:265] Setting up inception_3a/pool
I1115 04:16:44.774091 14011 net.cpp:272] TRAIN Top shape for layer 35 'inception_3a/pool' 4 192 48 156 (5750784)
I1115 04:16:44.774097 14011 layer_factory.hpp:172] Creating layer 'inception_3a/pool_proj' of type 'Convolution'
I1115 04:16:44.774101 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.774109 14011 net.cpp:205] Created Layer inception_3a/pool_proj (36)
I1115 04:16:44.774113 14011 net.cpp:577] inception_3a/pool_proj <- inception_3a/pool
I1115 04:16:44.774117 14011 net.cpp:547] inception_3a/pool_proj -> inception_3a/pool_proj
I1115 04:16:44.775626 14011 net.cpp:265] Setting up inception_3a/pool_proj
I1115 04:16:44.775636 14011 net.cpp:272] TRAIN Top shape for layer 36 'inception_3a/pool_proj' 4 32 48 156 (958464)
I1115 04:16:44.775686 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.775698 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.775705 14011 net.cpp:205] Created Layer inception_3a/relu_pool_proj (37)
I1115 04:16:44.775709 14011 net.cpp:577] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I1115 04:16:44.775714 14011 net.cpp:532] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I1115 04:16:44.775720 14011 net.cpp:265] Setting up inception_3a/relu_pool_proj
I1115 04:16:44.775723 14011 net.cpp:272] TRAIN Top shape for layer 37 'inception_3a/relu_pool_proj' 4 32 48 156 (958464)
I1115 04:16:44.775729 14011 layer_factory.hpp:172] Creating layer 'inception_3a/output' of type 'Concat'
I1115 04:16:44.775733 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.775738 14011 net.cpp:205] Created Layer inception_3a/output (38)
I1115 04:16:44.775743 14011 net.cpp:577] inception_3a/output <- inception_3a/1x1
I1115 04:16:44.775748 14011 net.cpp:577] inception_3a/output <- inception_3a/3x3
I1115 04:16:44.775751 14011 net.cpp:577] inception_3a/output <- inception_3a/5x5
I1115 04:16:44.775755 14011 net.cpp:577] inception_3a/output <- inception_3a/pool_proj
I1115 04:16:44.775758 14011 net.cpp:547] inception_3a/output -> inception_3a/output
I1115 04:16:44.775784 14011 net.cpp:265] Setting up inception_3a/output
I1115 04:16:44.775789 14011 net.cpp:272] TRAIN Top shape for layer 38 'inception_3a/output' 4 256 48 156 (7667712)
I1115 04:16:44.775795 14011 layer_factory.hpp:172] Creating layer 'inception_3a/output_inception_3a/output_0_split' of type 'Split'
I1115 04:16:44.775799 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.775804 14011 net.cpp:205] Created Layer inception_3a/output_inception_3a/output_0_split (39)
I1115 04:16:44.775808 14011 net.cpp:577] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I1115 04:16:44.775812 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I1115 04:16:44.775817 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I1115 04:16:44.775822 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I1115 04:16:44.775827 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I1115 04:16:44.775868 14011 net.cpp:265] Setting up inception_3a/output_inception_3a/output_0_split
I1115 04:16:44.775873 14011 net.cpp:272] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:44.775878 14011 net.cpp:272] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:44.775883 14011 net.cpp:272] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:44.775887 14011 net.cpp:272] TRAIN Top shape for layer 39 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:44.775899 14011 layer_factory.hpp:172] Creating layer 'inception_3b/1x1' of type 'Convolution'
I1115 04:16:44.775904 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.775913 14011 net.cpp:205] Created Layer inception_3b/1x1 (40)
I1115 04:16:44.775918 14011 net.cpp:577] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I1115 04:16:44.775921 14011 net.cpp:547] inception_3b/1x1 -> inception_3b/1x1
I1115 04:16:44.776614 14011 net.cpp:265] Setting up inception_3b/1x1
I1115 04:16:44.776623 14011 net.cpp:272] TRAIN Top shape for layer 40 'inception_3b/1x1' 4 128 48 156 (3833856)
I1115 04:16:44.776630 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_1x1' of type 'ReLU'
I1115 04:16:44.776648 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.776654 14011 net.cpp:205] Created Layer inception_3b/relu_1x1 (41)
I1115 04:16:44.776659 14011 net.cpp:577] inception_3b/relu_1x1 <- inception_3b/1x1
I1115 04:16:44.776662 14011 net.cpp:532] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I1115 04:16:44.776669 14011 net.cpp:265] Setting up inception_3b/relu_1x1
I1115 04:16:44.776671 14011 net.cpp:272] TRAIN Top shape for layer 41 'inception_3b/relu_1x1' 4 128 48 156 (3833856)
I1115 04:16:44.776676 14011 layer_factory.hpp:172] Creating layer 'inception_3b/3x3_reduce' of type 'Convolution'
I1115 04:16:44.776680 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.776688 14011 net.cpp:205] Created Layer inception_3b/3x3_reduce (42)
I1115 04:16:44.776692 14011 net.cpp:577] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I1115 04:16:44.776698 14011 net.cpp:547] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I1115 04:16:44.777395 14011 net.cpp:265] Setting up inception_3b/3x3_reduce
I1115 04:16:44.777405 14011 net.cpp:272] TRAIN Top shape for layer 42 'inception_3b/3x3_reduce' 4 128 48 156 (3833856)
I1115 04:16:44.777420 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.777424 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.777431 14011 net.cpp:205] Created Layer inception_3b/relu_3x3_reduce (43)
I1115 04:16:44.777434 14011 net.cpp:577] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I1115 04:16:44.777438 14011 net.cpp:532] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I1115 04:16:44.777444 14011 net.cpp:265] Setting up inception_3b/relu_3x3_reduce
I1115 04:16:44.777447 14011 net.cpp:272] TRAIN Top shape for layer 43 'inception_3b/relu_3x3_reduce' 4 128 48 156 (3833856)
I1115 04:16:44.777452 14011 layer_factory.hpp:172] Creating layer 'inception_3b/3x3' of type 'Convolution'
I1115 04:16:44.777456 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.777464 14011 net.cpp:205] Created Layer inception_3b/3x3 (44)
I1115 04:16:44.777468 14011 net.cpp:577] inception_3b/3x3 <- inception_3b/3x3_reduce
I1115 04:16:44.777472 14011 net.cpp:547] inception_3b/3x3 -> inception_3b/3x3
I1115 04:16:44.781066 14011 net.cpp:265] Setting up inception_3b/3x3
I1115 04:16:44.781075 14011 net.cpp:272] TRAIN Top shape for layer 44 'inception_3b/3x3' 4 192 48 156 (5750784)
I1115 04:16:44.781083 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3' of type 'ReLU'
I1115 04:16:44.781087 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.781092 14011 net.cpp:205] Created Layer inception_3b/relu_3x3 (45)
I1115 04:16:44.781097 14011 net.cpp:577] inception_3b/relu_3x3 <- inception_3b/3x3
I1115 04:16:44.781101 14011 net.cpp:532] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I1115 04:16:44.781106 14011 net.cpp:265] Setting up inception_3b/relu_3x3
I1115 04:16:44.781109 14011 net.cpp:272] TRAIN Top shape for layer 45 'inception_3b/relu_3x3' 4 192 48 156 (5750784)
I1115 04:16:44.781121 14011 layer_factory.hpp:172] Creating layer 'inception_3b/5x5_reduce' of type 'Convolution'
I1115 04:16:44.781124 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.781132 14011 net.cpp:205] Created Layer inception_3b/5x5_reduce (46)
I1115 04:16:44.781136 14011 net.cpp:577] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I1115 04:16:44.781141 14011 net.cpp:547] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I1115 04:16:44.781481 14011 net.cpp:265] Setting up inception_3b/5x5_reduce
I1115 04:16:44.781487 14011 net.cpp:272] TRAIN Top shape for layer 46 'inception_3b/5x5_reduce' 4 32 48 156 (958464)
I1115 04:16:44.781512 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.781517 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.781522 14011 net.cpp:205] Created Layer inception_3b/relu_5x5_reduce (47)
I1115 04:16:44.781527 14011 net.cpp:577] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I1115 04:16:44.781530 14011 net.cpp:532] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I1115 04:16:44.781536 14011 net.cpp:265] Setting up inception_3b/relu_5x5_reduce
I1115 04:16:44.781540 14011 net.cpp:272] TRAIN Top shape for layer 47 'inception_3b/relu_5x5_reduce' 4 32 48 156 (958464)
I1115 04:16:44.781545 14011 layer_factory.hpp:172] Creating layer 'inception_3b/5x5' of type 'Convolution'
I1115 04:16:44.781549 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.781559 14011 net.cpp:205] Created Layer inception_3b/5x5 (48)
I1115 04:16:44.781563 14011 net.cpp:577] inception_3b/5x5 <- inception_3b/5x5_reduce
I1115 04:16:44.781567 14011 net.cpp:547] inception_3b/5x5 -> inception_3b/5x5
I1115 04:16:44.782961 14011 net.cpp:265] Setting up inception_3b/5x5
I1115 04:16:44.782968 14011 net.cpp:272] TRAIN Top shape for layer 48 'inception_3b/5x5' 4 96 48 156 (2875392)
I1115 04:16:44.782984 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5' of type 'ReLU'
I1115 04:16:44.782987 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.782994 14011 net.cpp:205] Created Layer inception_3b/relu_5x5 (49)
I1115 04:16:44.782997 14011 net.cpp:577] inception_3b/relu_5x5 <- inception_3b/5x5
I1115 04:16:44.783001 14011 net.cpp:532] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I1115 04:16:44.783006 14011 net.cpp:265] Setting up inception_3b/relu_5x5
I1115 04:16:44.783010 14011 net.cpp:272] TRAIN Top shape for layer 49 'inception_3b/relu_5x5' 4 96 48 156 (2875392)
I1115 04:16:44.783015 14011 layer_factory.hpp:172] Creating layer 'inception_3b/pool' of type 'Pooling'
I1115 04:16:44.783018 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783025 14011 net.cpp:205] Created Layer inception_3b/pool (50)
I1115 04:16:44.783028 14011 net.cpp:577] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I1115 04:16:44.783032 14011 net.cpp:547] inception_3b/pool -> inception_3b/pool
I1115 04:16:44.783072 14011 net.cpp:265] Setting up inception_3b/pool
I1115 04:16:44.783077 14011 net.cpp:272] TRAIN Top shape for layer 50 'inception_3b/pool' 4 256 48 156 (7667712)
I1115 04:16:44.783083 14011 layer_factory.hpp:172] Creating layer 'inception_3b/pool_proj' of type 'Convolution'
I1115 04:16:44.783087 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783094 14011 net.cpp:205] Created Layer inception_3b/pool_proj (51)
I1115 04:16:44.783098 14011 net.cpp:577] inception_3b/pool_proj <- inception_3b/pool
I1115 04:16:44.783102 14011 net.cpp:547] inception_3b/pool_proj -> inception_3b/pool_proj
I1115 04:16:44.783537 14011 net.cpp:265] Setting up inception_3b/pool_proj
I1115 04:16:44.783545 14011 net.cpp:272] TRAIN Top shape for layer 51 'inception_3b/pool_proj' 4 64 48 156 (1916928)
I1115 04:16:44.783558 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.783563 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783568 14011 net.cpp:205] Created Layer inception_3b/relu_pool_proj (52)
I1115 04:16:44.783572 14011 net.cpp:577] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I1115 04:16:44.783576 14011 net.cpp:532] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I1115 04:16:44.783582 14011 net.cpp:265] Setting up inception_3b/relu_pool_proj
I1115 04:16:44.783586 14011 net.cpp:272] TRAIN Top shape for layer 52 'inception_3b/relu_pool_proj' 4 64 48 156 (1916928)
I1115 04:16:44.783603 14011 layer_factory.hpp:172] Creating layer 'inception_3b/output' of type 'Concat'
I1115 04:16:44.783607 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783613 14011 net.cpp:205] Created Layer inception_3b/output (53)
I1115 04:16:44.783617 14011 net.cpp:577] inception_3b/output <- inception_3b/1x1
I1115 04:16:44.783622 14011 net.cpp:577] inception_3b/output <- inception_3b/3x3
I1115 04:16:44.783625 14011 net.cpp:577] inception_3b/output <- inception_3b/5x5
I1115 04:16:44.783629 14011 net.cpp:577] inception_3b/output <- inception_3b/pool_proj
I1115 04:16:44.783633 14011 net.cpp:547] inception_3b/output -> inception_3b/output
I1115 04:16:44.783653 14011 net.cpp:265] Setting up inception_3b/output
I1115 04:16:44.783658 14011 net.cpp:272] TRAIN Top shape for layer 53 'inception_3b/output' 4 480 48 156 (14376960)
I1115 04:16:44.783668 14011 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2' of type 'Pooling'
I1115 04:16:44.783671 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783677 14011 net.cpp:205] Created Layer pool3/3x3_s2 (54)
I1115 04:16:44.783681 14011 net.cpp:577] pool3/3x3_s2 <- inception_3b/output
I1115 04:16:44.783685 14011 net.cpp:547] pool3/3x3_s2 -> pool3/3x3_s2
I1115 04:16:44.783721 14011 net.cpp:265] Setting up pool3/3x3_s2
I1115 04:16:44.783726 14011 net.cpp:272] TRAIN Top shape for layer 54 'pool3/3x3_s2' 4 480 24 78 (3594240)
I1115 04:16:44.783740 14011 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2_pool3/3x3_s2_0_split' of type 'Split'
I1115 04:16:44.783743 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783748 14011 net.cpp:205] Created Layer pool3/3x3_s2_pool3/3x3_s2_0_split (55)
I1115 04:16:44.783752 14011 net.cpp:577] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I1115 04:16:44.783757 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I1115 04:16:44.783762 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I1115 04:16:44.783767 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I1115 04:16:44.783771 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I1115 04:16:44.783813 14011 net.cpp:265] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I1115 04:16:44.783818 14011 net.cpp:272] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:44.783823 14011 net.cpp:272] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:44.783828 14011 net.cpp:272] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:44.783833 14011 net.cpp:272] TRAIN Top shape for layer 55 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:44.783836 14011 layer_factory.hpp:172] Creating layer 'inception_4a/1x1' of type 'Convolution'
I1115 04:16:44.783840 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.783849 14011 net.cpp:205] Created Layer inception_4a/1x1 (56)
I1115 04:16:44.783852 14011 net.cpp:577] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I1115 04:16:44.783856 14011 net.cpp:547] inception_4a/1x1 -> inception_4a/1x1
I1115 04:16:44.786782 14011 net.cpp:265] Setting up inception_4a/1x1
I1115 04:16:44.786793 14011 net.cpp:272] TRAIN Top shape for layer 56 'inception_4a/1x1' 4 192 24 78 (1437696)
I1115 04:16:44.786803 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_1x1' of type 'ReLU'
I1115 04:16:44.786816 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.786823 14011 net.cpp:205] Created Layer inception_4a/relu_1x1 (57)
I1115 04:16:44.786828 14011 net.cpp:577] inception_4a/relu_1x1 <- inception_4a/1x1
I1115 04:16:44.786831 14011 net.cpp:532] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I1115 04:16:44.786854 14011 net.cpp:265] Setting up inception_4a/relu_1x1
I1115 04:16:44.786857 14011 net.cpp:272] TRAIN Top shape for layer 57 'inception_4a/relu_1x1' 4 192 24 78 (1437696)
I1115 04:16:44.786864 14011 layer_factory.hpp:172] Creating layer 'inception_4a/3x3_reduce' of type 'Convolution'
I1115 04:16:44.786867 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.786882 14011 net.cpp:205] Created Layer inception_4a/3x3_reduce (58)
I1115 04:16:44.786886 14011 net.cpp:577] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I1115 04:16:44.786891 14011 net.cpp:547] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I1115 04:16:44.787879 14011 net.cpp:265] Setting up inception_4a/3x3_reduce
I1115 04:16:44.787889 14011 net.cpp:272] TRAIN Top shape for layer 58 'inception_4a/3x3_reduce' 4 96 24 78 (718848)
I1115 04:16:44.787899 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.787904 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.787909 14011 net.cpp:205] Created Layer inception_4a/relu_3x3_reduce (59)
I1115 04:16:44.787912 14011 net.cpp:577] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I1115 04:16:44.787917 14011 net.cpp:532] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I1115 04:16:44.787922 14011 net.cpp:265] Setting up inception_4a/relu_3x3_reduce
I1115 04:16:44.787925 14011 net.cpp:272] TRAIN Top shape for layer 59 'inception_4a/relu_3x3_reduce' 4 96 24 78 (718848)
I1115 04:16:44.787930 14011 layer_factory.hpp:172] Creating layer 'inception_4a/3x3' of type 'Convolution'
I1115 04:16:44.787941 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.787950 14011 net.cpp:205] Created Layer inception_4a/3x3 (60)
I1115 04:16:44.787953 14011 net.cpp:577] inception_4a/3x3 <- inception_4a/3x3_reduce
I1115 04:16:44.787957 14011 net.cpp:547] inception_4a/3x3 -> inception_4a/3x3
I1115 04:16:44.790922 14011 net.cpp:265] Setting up inception_4a/3x3
I1115 04:16:44.790930 14011 net.cpp:272] TRAIN Top shape for layer 60 'inception_4a/3x3' 4 208 24 78 (1557504)
I1115 04:16:44.790940 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3' of type 'ReLU'
I1115 04:16:44.790943 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.790948 14011 net.cpp:205] Created Layer inception_4a/relu_3x3 (61)
I1115 04:16:44.790953 14011 net.cpp:577] inception_4a/relu_3x3 <- inception_4a/3x3
I1115 04:16:44.790957 14011 net.cpp:532] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I1115 04:16:44.790962 14011 net.cpp:265] Setting up inception_4a/relu_3x3
I1115 04:16:44.790966 14011 net.cpp:272] TRAIN Top shape for layer 61 'inception_4a/relu_3x3' 4 208 24 78 (1557504)
I1115 04:16:44.790971 14011 layer_factory.hpp:172] Creating layer 'inception_4a/5x5_reduce' of type 'Convolution'
I1115 04:16:44.790974 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.790982 14011 net.cpp:205] Created Layer inception_4a/5x5_reduce (62)
I1115 04:16:44.790987 14011 net.cpp:577] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I1115 04:16:44.790990 14011 net.cpp:547] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I1115 04:16:44.791296 14011 net.cpp:265] Setting up inception_4a/5x5_reduce
I1115 04:16:44.791303 14011 net.cpp:272] TRAIN Top shape for layer 62 'inception_4a/5x5_reduce' 4 16 24 78 (119808)
I1115 04:16:44.791318 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.791322 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.791328 14011 net.cpp:205] Created Layer inception_4a/relu_5x5_reduce (63)
I1115 04:16:44.791332 14011 net.cpp:577] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I1115 04:16:44.791363 14011 net.cpp:532] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I1115 04:16:44.791370 14011 net.cpp:265] Setting up inception_4a/relu_5x5_reduce
I1115 04:16:44.791373 14011 net.cpp:272] TRAIN Top shape for layer 63 'inception_4a/relu_5x5_reduce' 4 16 24 78 (119808)
I1115 04:16:44.791379 14011 layer_factory.hpp:172] Creating layer 'inception_4a/5x5' of type 'Convolution'
I1115 04:16:44.791383 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.791393 14011 net.cpp:205] Created Layer inception_4a/5x5 (64)
I1115 04:16:44.791397 14011 net.cpp:577] inception_4a/5x5 <- inception_4a/5x5_reduce
I1115 04:16:44.791401 14011 net.cpp:547] inception_4a/5x5 -> inception_4a/5x5
I1115 04:16:44.791893 14011 net.cpp:265] Setting up inception_4a/5x5
I1115 04:16:44.791900 14011 net.cpp:272] TRAIN Top shape for layer 64 'inception_4a/5x5' 4 48 24 78 (359424)
I1115 04:16:44.791908 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5' of type 'ReLU'
I1115 04:16:44.791913 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.791918 14011 net.cpp:205] Created Layer inception_4a/relu_5x5 (65)
I1115 04:16:44.791921 14011 net.cpp:577] inception_4a/relu_5x5 <- inception_4a/5x5
I1115 04:16:44.791925 14011 net.cpp:532] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I1115 04:16:44.791930 14011 net.cpp:265] Setting up inception_4a/relu_5x5
I1115 04:16:44.791934 14011 net.cpp:272] TRAIN Top shape for layer 65 'inception_4a/relu_5x5' 4 48 24 78 (359424)
I1115 04:16:44.791946 14011 layer_factory.hpp:172] Creating layer 'inception_4a/pool' of type 'Pooling'
I1115 04:16:44.791950 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.791956 14011 net.cpp:205] Created Layer inception_4a/pool (66)
I1115 04:16:44.791960 14011 net.cpp:577] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I1115 04:16:44.791965 14011 net.cpp:547] inception_4a/pool -> inception_4a/pool
I1115 04:16:44.792006 14011 net.cpp:265] Setting up inception_4a/pool
I1115 04:16:44.792011 14011 net.cpp:272] TRAIN Top shape for layer 66 'inception_4a/pool' 4 480 24 78 (3594240)
I1115 04:16:44.792016 14011 layer_factory.hpp:172] Creating layer 'inception_4a/pool_proj' of type 'Convolution'
I1115 04:16:44.792019 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.792027 14011 net.cpp:205] Created Layer inception_4a/pool_proj (67)
I1115 04:16:44.792032 14011 net.cpp:577] inception_4a/pool_proj <- inception_4a/pool
I1115 04:16:44.792035 14011 net.cpp:547] inception_4a/pool_proj -> inception_4a/pool_proj
I1115 04:16:44.792702 14011 net.cpp:265] Setting up inception_4a/pool_proj
I1115 04:16:44.792709 14011 net.cpp:272] TRAIN Top shape for layer 67 'inception_4a/pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.792717 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.792721 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.792727 14011 net.cpp:205] Created Layer inception_4a/relu_pool_proj (68)
I1115 04:16:44.792732 14011 net.cpp:577] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I1115 04:16:44.792735 14011 net.cpp:532] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I1115 04:16:44.792740 14011 net.cpp:265] Setting up inception_4a/relu_pool_proj
I1115 04:16:44.792749 14011 net.cpp:272] TRAIN Top shape for layer 68 'inception_4a/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.792762 14011 layer_factory.hpp:172] Creating layer 'inception_4a/output' of type 'Concat'
I1115 04:16:44.792767 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.792771 14011 net.cpp:205] Created Layer inception_4a/output (69)
I1115 04:16:44.792776 14011 net.cpp:577] inception_4a/output <- inception_4a/1x1
I1115 04:16:44.792794 14011 net.cpp:577] inception_4a/output <- inception_4a/3x3
I1115 04:16:44.792799 14011 net.cpp:577] inception_4a/output <- inception_4a/5x5
I1115 04:16:44.792802 14011 net.cpp:577] inception_4a/output <- inception_4a/pool_proj
I1115 04:16:44.792806 14011 net.cpp:547] inception_4a/output -> inception_4a/output
I1115 04:16:44.792829 14011 net.cpp:265] Setting up inception_4a/output
I1115 04:16:44.792834 14011 net.cpp:272] TRAIN Top shape for layer 69 'inception_4a/output' 4 512 24 78 (3833856)
I1115 04:16:44.792840 14011 layer_factory.hpp:172] Creating layer 'inception_4a/output_inception_4a/output_0_split' of type 'Split'
I1115 04:16:44.792842 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.792850 14011 net.cpp:205] Created Layer inception_4a/output_inception_4a/output_0_split (70)
I1115 04:16:44.792855 14011 net.cpp:577] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I1115 04:16:44.792858 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I1115 04:16:44.792863 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I1115 04:16:44.792868 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I1115 04:16:44.792872 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I1115 04:16:44.792915 14011 net.cpp:265] Setting up inception_4a/output_inception_4a/output_0_split
I1115 04:16:44.792920 14011 net.cpp:272] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.792925 14011 net.cpp:272] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.792930 14011 net.cpp:272] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.792934 14011 net.cpp:272] TRAIN Top shape for layer 70 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.792939 14011 layer_factory.hpp:172] Creating layer 'inception_4b/1x1' of type 'Convolution'
I1115 04:16:44.792950 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.792959 14011 net.cpp:205] Created Layer inception_4b/1x1 (71)
I1115 04:16:44.792963 14011 net.cpp:577] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_0
I1115 04:16:44.792968 14011 net.cpp:547] inception_4b/1x1 -> inception_4b/1x1
I1115 04:16:44.794593 14011 net.cpp:265] Setting up inception_4b/1x1
I1115 04:16:44.794601 14011 net.cpp:272] TRAIN Top shape for layer 71 'inception_4b/1x1' 4 160 24 78 (1198080)
I1115 04:16:44.794610 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_1x1' of type 'ReLU'
I1115 04:16:44.794613 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.794618 14011 net.cpp:205] Created Layer inception_4b/relu_1x1 (72)
I1115 04:16:44.794622 14011 net.cpp:577] inception_4b/relu_1x1 <- inception_4b/1x1
I1115 04:16:44.794627 14011 net.cpp:532] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I1115 04:16:44.794632 14011 net.cpp:265] Setting up inception_4b/relu_1x1
I1115 04:16:44.794636 14011 net.cpp:272] TRAIN Top shape for layer 72 'inception_4b/relu_1x1' 4 160 24 78 (1198080)
I1115 04:16:44.794641 14011 layer_factory.hpp:172] Creating layer 'inception_4b/3x3_reduce' of type 'Convolution'
I1115 04:16:44.794644 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.794651 14011 net.cpp:205] Created Layer inception_4b/3x3_reduce (73)
I1115 04:16:44.794656 14011 net.cpp:577] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_1
I1115 04:16:44.794659 14011 net.cpp:547] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I1115 04:16:44.795819 14011 net.cpp:265] Setting up inception_4b/3x3_reduce
I1115 04:16:44.795827 14011 net.cpp:272] TRAIN Top shape for layer 73 'inception_4b/3x3_reduce' 4 112 24 78 (838656)
I1115 04:16:44.795835 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.795846 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.795852 14011 net.cpp:205] Created Layer inception_4b/relu_3x3_reduce (74)
I1115 04:16:44.795856 14011 net.cpp:577] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I1115 04:16:44.795861 14011 net.cpp:532] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I1115 04:16:44.795867 14011 net.cpp:265] Setting up inception_4b/relu_3x3_reduce
I1115 04:16:44.795871 14011 net.cpp:272] TRAIN Top shape for layer 74 'inception_4b/relu_3x3_reduce' 4 112 24 78 (838656)
I1115 04:16:44.795876 14011 layer_factory.hpp:172] Creating layer 'inception_4b/3x3' of type 'Convolution'
I1115 04:16:44.795881 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.795894 14011 net.cpp:205] Created Layer inception_4b/3x3 (75)
I1115 04:16:44.795898 14011 net.cpp:577] inception_4b/3x3 <- inception_4b/3x3_reduce
I1115 04:16:44.795902 14011 net.cpp:547] inception_4b/3x3 -> inception_4b/3x3
I1115 04:16:44.801460 14011 net.cpp:265] Setting up inception_4b/3x3
I1115 04:16:44.801471 14011 net.cpp:272] TRAIN Top shape for layer 75 'inception_4b/3x3' 4 224 24 78 (1677312)
I1115 04:16:44.801481 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3' of type 'ReLU'
I1115 04:16:44.801484 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.801491 14011 net.cpp:205] Created Layer inception_4b/relu_3x3 (76)
I1115 04:16:44.801494 14011 net.cpp:577] inception_4b/relu_3x3 <- inception_4b/3x3
I1115 04:16:44.801499 14011 net.cpp:532] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I1115 04:16:44.801506 14011 net.cpp:265] Setting up inception_4b/relu_3x3
I1115 04:16:44.801508 14011 net.cpp:272] TRAIN Top shape for layer 76 'inception_4b/relu_3x3' 4 224 24 78 (1677312)
I1115 04:16:44.801513 14011 layer_factory.hpp:172] Creating layer 'inception_4b/5x5_reduce' of type 'Convolution'
I1115 04:16:44.801527 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.801535 14011 net.cpp:205] Created Layer inception_4b/5x5_reduce (77)
I1115 04:16:44.801539 14011 net.cpp:577] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_2
I1115 04:16:44.801544 14011 net.cpp:547] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I1115 04:16:44.801930 14011 net.cpp:265] Setting up inception_4b/5x5_reduce
I1115 04:16:44.801937 14011 net.cpp:272] TRAIN Top shape for layer 77 'inception_4b/5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:44.801946 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.801950 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.801955 14011 net.cpp:205] Created Layer inception_4b/relu_5x5_reduce (78)
I1115 04:16:44.801960 14011 net.cpp:577] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I1115 04:16:44.801964 14011 net.cpp:532] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I1115 04:16:44.801970 14011 net.cpp:265] Setting up inception_4b/relu_5x5_reduce
I1115 04:16:44.801973 14011 net.cpp:272] TRAIN Top shape for layer 78 'inception_4b/relu_5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:44.801977 14011 layer_factory.hpp:172] Creating layer 'inception_4b/5x5' of type 'Convolution'
I1115 04:16:44.801981 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.801990 14011 net.cpp:205] Created Layer inception_4b/5x5 (79)
I1115 04:16:44.801992 14011 net.cpp:577] inception_4b/5x5 <- inception_4b/5x5_reduce
I1115 04:16:44.801996 14011 net.cpp:547] inception_4b/5x5 -> inception_4b/5x5
I1115 04:16:44.802798 14011 net.cpp:265] Setting up inception_4b/5x5
I1115 04:16:44.802805 14011 net.cpp:272] TRAIN Top shape for layer 79 'inception_4b/5x5' 4 64 24 78 (479232)
I1115 04:16:44.802817 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5' of type 'ReLU'
I1115 04:16:44.802829 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.802834 14011 net.cpp:205] Created Layer inception_4b/relu_5x5 (80)
I1115 04:16:44.802839 14011 net.cpp:577] inception_4b/relu_5x5 <- inception_4b/5x5
I1115 04:16:44.802844 14011 net.cpp:532] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I1115 04:16:44.802850 14011 net.cpp:265] Setting up inception_4b/relu_5x5
I1115 04:16:44.802852 14011 net.cpp:272] TRAIN Top shape for layer 80 'inception_4b/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:44.802857 14011 layer_factory.hpp:172] Creating layer 'inception_4b/pool' of type 'Pooling'
I1115 04:16:44.802861 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.802866 14011 net.cpp:205] Created Layer inception_4b/pool (81)
I1115 04:16:44.802870 14011 net.cpp:577] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_3
I1115 04:16:44.802875 14011 net.cpp:547] inception_4b/pool -> inception_4b/pool
I1115 04:16:44.802917 14011 net.cpp:265] Setting up inception_4b/pool
I1115 04:16:44.802922 14011 net.cpp:272] TRAIN Top shape for layer 81 'inception_4b/pool' 4 512 24 78 (3833856)
I1115 04:16:44.802927 14011 layer_factory.hpp:172] Creating layer 'inception_4b/pool_proj' of type 'Convolution'
I1115 04:16:44.802932 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.802947 14011 net.cpp:205] Created Layer inception_4b/pool_proj (82)
I1115 04:16:44.802951 14011 net.cpp:577] inception_4b/pool_proj <- inception_4b/pool
I1115 04:16:44.802955 14011 net.cpp:547] inception_4b/pool_proj -> inception_4b/pool_proj
I1115 04:16:44.803725 14011 net.cpp:265] Setting up inception_4b/pool_proj
I1115 04:16:44.803733 14011 net.cpp:272] TRAIN Top shape for layer 82 'inception_4b/pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.803747 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.803751 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.803757 14011 net.cpp:205] Created Layer inception_4b/relu_pool_proj (83)
I1115 04:16:44.803761 14011 net.cpp:577] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I1115 04:16:44.803767 14011 net.cpp:532] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I1115 04:16:44.803772 14011 net.cpp:265] Setting up inception_4b/relu_pool_proj
I1115 04:16:44.803776 14011 net.cpp:272] TRAIN Top shape for layer 83 'inception_4b/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.803781 14011 layer_factory.hpp:172] Creating layer 'inception_4b/output' of type 'Concat'
I1115 04:16:44.803784 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.803794 14011 net.cpp:205] Created Layer inception_4b/output (84)
I1115 04:16:44.803798 14011 net.cpp:577] inception_4b/output <- inception_4b/1x1
I1115 04:16:44.803808 14011 net.cpp:577] inception_4b/output <- inception_4b/3x3
I1115 04:16:44.803812 14011 net.cpp:577] inception_4b/output <- inception_4b/5x5
I1115 04:16:44.803817 14011 net.cpp:577] inception_4b/output <- inception_4b/pool_proj
I1115 04:16:44.803820 14011 net.cpp:547] inception_4b/output -> inception_4b/output
I1115 04:16:44.803843 14011 net.cpp:265] Setting up inception_4b/output
I1115 04:16:44.803846 14011 net.cpp:272] TRAIN Top shape for layer 84 'inception_4b/output' 4 512 24 78 (3833856)
I1115 04:16:44.803853 14011 layer_factory.hpp:172] Creating layer 'inception_4b/output_inception_4b/output_0_split' of type 'Split'
I1115 04:16:44.803856 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.803875 14011 net.cpp:205] Created Layer inception_4b/output_inception_4b/output_0_split (85)
I1115 04:16:44.803880 14011 net.cpp:577] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I1115 04:16:44.803885 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I1115 04:16:44.803892 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I1115 04:16:44.803897 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I1115 04:16:44.803903 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I1115 04:16:44.803954 14011 net.cpp:265] Setting up inception_4b/output_inception_4b/output_0_split
I1115 04:16:44.803959 14011 net.cpp:272] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.803966 14011 net.cpp:272] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.803969 14011 net.cpp:272] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.803973 14011 net.cpp:272] TRAIN Top shape for layer 85 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.803984 14011 layer_factory.hpp:172] Creating layer 'inception_4c/1x1' of type 'Convolution'
I1115 04:16:44.803988 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.803998 14011 net.cpp:205] Created Layer inception_4c/1x1 (86)
I1115 04:16:44.804003 14011 net.cpp:577] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I1115 04:16:44.804008 14011 net.cpp:547] inception_4c/1x1 -> inception_4c/1x1
I1115 04:16:44.805235 14011 net.cpp:265] Setting up inception_4c/1x1
I1115 04:16:44.805243 14011 net.cpp:272] TRAIN Top shape for layer 86 'inception_4c/1x1' 4 128 24 78 (958464)
I1115 04:16:44.805251 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_1x1' of type 'ReLU'
I1115 04:16:44.805255 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.805261 14011 net.cpp:205] Created Layer inception_4c/relu_1x1 (87)
I1115 04:16:44.805265 14011 net.cpp:577] inception_4c/relu_1x1 <- inception_4c/1x1
I1115 04:16:44.805269 14011 net.cpp:532] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I1115 04:16:44.805274 14011 net.cpp:265] Setting up inception_4c/relu_1x1
I1115 04:16:44.805277 14011 net.cpp:272] TRAIN Top shape for layer 87 'inception_4c/relu_1x1' 4 128 24 78 (958464)
I1115 04:16:44.805282 14011 layer_factory.hpp:172] Creating layer 'inception_4c/3x3_reduce' of type 'Convolution'
I1115 04:16:44.805286 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.805296 14011 net.cpp:205] Created Layer inception_4c/3x3_reduce (88)
I1115 04:16:44.805300 14011 net.cpp:577] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I1115 04:16:44.805305 14011 net.cpp:547] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I1115 04:16:44.806533 14011 net.cpp:265] Setting up inception_4c/3x3_reduce
I1115 04:16:44.806541 14011 net.cpp:272] TRAIN Top shape for layer 88 'inception_4c/3x3_reduce' 4 128 24 78 (958464)
I1115 04:16:44.806555 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.806560 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.806567 14011 net.cpp:205] Created Layer inception_4c/relu_3x3_reduce (89)
I1115 04:16:44.806571 14011 net.cpp:577] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I1115 04:16:44.806576 14011 net.cpp:532] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I1115 04:16:44.806581 14011 net.cpp:265] Setting up inception_4c/relu_3x3_reduce
I1115 04:16:44.806599 14011 net.cpp:272] TRAIN Top shape for layer 89 'inception_4c/relu_3x3_reduce' 4 128 24 78 (958464)
I1115 04:16:44.806605 14011 layer_factory.hpp:172] Creating layer 'inception_4c/3x3' of type 'Convolution'
I1115 04:16:44.806609 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.806624 14011 net.cpp:205] Created Layer inception_4c/3x3 (90)
I1115 04:16:44.806628 14011 net.cpp:577] inception_4c/3x3 <- inception_4c/3x3_reduce
I1115 04:16:44.806633 14011 net.cpp:547] inception_4c/3x3 -> inception_4c/3x3
I1115 04:16:44.812825 14011 net.cpp:265] Setting up inception_4c/3x3
I1115 04:16:44.812835 14011 net.cpp:272] TRAIN Top shape for layer 90 'inception_4c/3x3' 4 256 24 78 (1916928)
I1115 04:16:44.812844 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3' of type 'ReLU'
I1115 04:16:44.812856 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.812865 14011 net.cpp:205] Created Layer inception_4c/relu_3x3 (91)
I1115 04:16:44.812870 14011 net.cpp:577] inception_4c/relu_3x3 <- inception_4c/3x3
I1115 04:16:44.812873 14011 net.cpp:532] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I1115 04:16:44.812880 14011 net.cpp:265] Setting up inception_4c/relu_3x3
I1115 04:16:44.812882 14011 net.cpp:272] TRAIN Top shape for layer 91 'inception_4c/relu_3x3' 4 256 24 78 (1916928)
I1115 04:16:44.812888 14011 layer_factory.hpp:172] Creating layer 'inception_4c/5x5_reduce' of type 'Convolution'
I1115 04:16:44.812891 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.812907 14011 net.cpp:205] Created Layer inception_4c/5x5_reduce (92)
I1115 04:16:44.812912 14011 net.cpp:577] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I1115 04:16:44.812917 14011 net.cpp:547] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I1115 04:16:44.813323 14011 net.cpp:265] Setting up inception_4c/5x5_reduce
I1115 04:16:44.813330 14011 net.cpp:272] TRAIN Top shape for layer 92 'inception_4c/5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:44.813339 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.813342 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.813350 14011 net.cpp:205] Created Layer inception_4c/relu_5x5_reduce (93)
I1115 04:16:44.813355 14011 net.cpp:577] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I1115 04:16:44.813359 14011 net.cpp:532] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I1115 04:16:44.813364 14011 net.cpp:265] Setting up inception_4c/relu_5x5_reduce
I1115 04:16:44.813367 14011 net.cpp:272] TRAIN Top shape for layer 93 'inception_4c/relu_5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:44.813372 14011 layer_factory.hpp:172] Creating layer 'inception_4c/5x5' of type 'Convolution'
I1115 04:16:44.813382 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.813397 14011 net.cpp:205] Created Layer inception_4c/5x5 (94)
I1115 04:16:44.813402 14011 net.cpp:577] inception_4c/5x5 <- inception_4c/5x5_reduce
I1115 04:16:44.813406 14011 net.cpp:547] inception_4c/5x5 -> inception_4c/5x5
I1115 04:16:44.814210 14011 net.cpp:265] Setting up inception_4c/5x5
I1115 04:16:44.814218 14011 net.cpp:272] TRAIN Top shape for layer 94 'inception_4c/5x5' 4 64 24 78 (479232)
I1115 04:16:44.814226 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5' of type 'ReLU'
I1115 04:16:44.814230 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.814235 14011 net.cpp:205] Created Layer inception_4c/relu_5x5 (95)
I1115 04:16:44.814239 14011 net.cpp:577] inception_4c/relu_5x5 <- inception_4c/5x5
I1115 04:16:44.814244 14011 net.cpp:532] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I1115 04:16:44.814249 14011 net.cpp:265] Setting up inception_4c/relu_5x5
I1115 04:16:44.814268 14011 net.cpp:272] TRAIN Top shape for layer 95 'inception_4c/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:44.814275 14011 layer_factory.hpp:172] Creating layer 'inception_4c/pool' of type 'Pooling'
I1115 04:16:44.814278 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.814294 14011 net.cpp:205] Created Layer inception_4c/pool (96)
I1115 04:16:44.814299 14011 net.cpp:577] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I1115 04:16:44.814304 14011 net.cpp:547] inception_4c/pool -> inception_4c/pool
I1115 04:16:44.814352 14011 net.cpp:265] Setting up inception_4c/pool
I1115 04:16:44.814357 14011 net.cpp:272] TRAIN Top shape for layer 96 'inception_4c/pool' 4 512 24 78 (3833856)
I1115 04:16:44.814370 14011 layer_factory.hpp:172] Creating layer 'inception_4c/pool_proj' of type 'Convolution'
I1115 04:16:44.814374 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.814383 14011 net.cpp:205] Created Layer inception_4c/pool_proj (97)
I1115 04:16:44.814388 14011 net.cpp:577] inception_4c/pool_proj <- inception_4c/pool
I1115 04:16:44.814393 14011 net.cpp:547] inception_4c/pool_proj -> inception_4c/pool_proj
I1115 04:16:44.815125 14011 net.cpp:265] Setting up inception_4c/pool_proj
I1115 04:16:44.815132 14011 net.cpp:272] TRAIN Top shape for layer 97 'inception_4c/pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.815150 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.815155 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.815160 14011 net.cpp:205] Created Layer inception_4c/relu_pool_proj (98)
I1115 04:16:44.815165 14011 net.cpp:577] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I1115 04:16:44.815168 14011 net.cpp:532] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I1115 04:16:44.815173 14011 net.cpp:265] Setting up inception_4c/relu_pool_proj
I1115 04:16:44.815176 14011 net.cpp:272] TRAIN Top shape for layer 98 'inception_4c/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.815181 14011 layer_factory.hpp:172] Creating layer 'inception_4c/output' of type 'Concat'
I1115 04:16:44.815186 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.815193 14011 net.cpp:205] Created Layer inception_4c/output (99)
I1115 04:16:44.815197 14011 net.cpp:577] inception_4c/output <- inception_4c/1x1
I1115 04:16:44.815201 14011 net.cpp:577] inception_4c/output <- inception_4c/3x3
I1115 04:16:44.815205 14011 net.cpp:577] inception_4c/output <- inception_4c/5x5
I1115 04:16:44.815209 14011 net.cpp:577] inception_4c/output <- inception_4c/pool_proj
I1115 04:16:44.815212 14011 net.cpp:547] inception_4c/output -> inception_4c/output
I1115 04:16:44.815234 14011 net.cpp:265] Setting up inception_4c/output
I1115 04:16:44.815239 14011 net.cpp:272] TRAIN Top shape for layer 99 'inception_4c/output' 4 512 24 78 (3833856)
I1115 04:16:44.815251 14011 layer_factory.hpp:172] Creating layer 'inception_4c/output_inception_4c/output_0_split' of type 'Split'
I1115 04:16:44.815255 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.815263 14011 net.cpp:205] Created Layer inception_4c/output_inception_4c/output_0_split (100)
I1115 04:16:44.815268 14011 net.cpp:577] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I1115 04:16:44.815271 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I1115 04:16:44.815276 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I1115 04:16:44.815281 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I1115 04:16:44.815285 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I1115 04:16:44.815354 14011 net.cpp:265] Setting up inception_4c/output_inception_4c/output_0_split
I1115 04:16:44.815361 14011 net.cpp:272] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.815366 14011 net.cpp:272] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.815371 14011 net.cpp:272] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.831809 14011 net.cpp:272] TRAIN Top shape for layer 100 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:44.831848 14011 layer_factory.hpp:172] Creating layer 'inception_4d/1x1' of type 'Convolution'
I1115 04:16:44.831861 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.831907 14011 net.cpp:205] Created Layer inception_4d/1x1 (101)
I1115 04:16:44.831923 14011 net.cpp:577] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I1115 04:16:44.831939 14011 net.cpp:547] inception_4d/1x1 -> inception_4d/1x1
I1115 04:16:44.834800 14011 net.cpp:265] Setting up inception_4d/1x1
I1115 04:16:44.834813 14011 net.cpp:272] TRAIN Top shape for layer 101 'inception_4d/1x1' 4 112 24 78 (838656)
I1115 04:16:44.834825 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_1x1' of type 'ReLU'
I1115 04:16:44.834830 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.834836 14011 net.cpp:205] Created Layer inception_4d/relu_1x1 (102)
I1115 04:16:44.834842 14011 net.cpp:577] inception_4d/relu_1x1 <- inception_4d/1x1
I1115 04:16:44.834846 14011 net.cpp:532] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I1115 04:16:44.834852 14011 net.cpp:265] Setting up inception_4d/relu_1x1
I1115 04:16:44.834856 14011 net.cpp:272] TRAIN Top shape for layer 102 'inception_4d/relu_1x1' 4 112 24 78 (838656)
I1115 04:16:44.834868 14011 layer_factory.hpp:172] Creating layer 'inception_4d/3x3_reduce' of type 'Convolution'
I1115 04:16:44.834872 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.834885 14011 net.cpp:205] Created Layer inception_4d/3x3_reduce (103)
I1115 04:16:44.834890 14011 net.cpp:577] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I1115 04:16:44.834895 14011 net.cpp:547] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I1115 04:16:44.836314 14011 net.cpp:265] Setting up inception_4d/3x3_reduce
I1115 04:16:44.836323 14011 net.cpp:272] TRAIN Top shape for layer 103 'inception_4d/3x3_reduce' 4 144 24 78 (1078272)
I1115 04:16:44.836333 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.836336 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.836341 14011 net.cpp:205] Created Layer inception_4d/relu_3x3_reduce (104)
I1115 04:16:44.836346 14011 net.cpp:577] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I1115 04:16:44.836350 14011 net.cpp:532] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I1115 04:16:44.836355 14011 net.cpp:265] Setting up inception_4d/relu_3x3_reduce
I1115 04:16:44.836359 14011 net.cpp:272] TRAIN Top shape for layer 104 'inception_4d/relu_3x3_reduce' 4 144 24 78 (1078272)
I1115 04:16:44.836364 14011 layer_factory.hpp:172] Creating layer 'inception_4d/3x3' of type 'Convolution'
I1115 04:16:44.836367 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.836385 14011 net.cpp:205] Created Layer inception_4d/3x3 (105)
I1115 04:16:44.836390 14011 net.cpp:577] inception_4d/3x3 <- inception_4d/3x3_reduce
I1115 04:16:44.836393 14011 net.cpp:547] inception_4d/3x3 -> inception_4d/3x3
I1115 04:16:44.843755 14011 net.cpp:265] Setting up inception_4d/3x3
I1115 04:16:44.843768 14011 net.cpp:272] TRAIN Top shape for layer 105 'inception_4d/3x3' 4 288 24 78 (2156544)
I1115 04:16:44.843808 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3' of type 'ReLU'
I1115 04:16:44.843814 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.843822 14011 net.cpp:205] Created Layer inception_4d/relu_3x3 (106)
I1115 04:16:44.843827 14011 net.cpp:577] inception_4d/relu_3x3 <- inception_4d/3x3
I1115 04:16:44.843830 14011 net.cpp:532] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I1115 04:16:44.843837 14011 net.cpp:265] Setting up inception_4d/relu_3x3
I1115 04:16:44.843840 14011 net.cpp:272] TRAIN Top shape for layer 106 'inception_4d/relu_3x3' 4 288 24 78 (2156544)
I1115 04:16:44.843847 14011 layer_factory.hpp:172] Creating layer 'inception_4d/5x5_reduce' of type 'Convolution'
I1115 04:16:44.843849 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.843863 14011 net.cpp:205] Created Layer inception_4d/5x5_reduce (107)
I1115 04:16:44.843868 14011 net.cpp:577] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I1115 04:16:44.843873 14011 net.cpp:547] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I1115 04:16:44.844352 14011 net.cpp:265] Setting up inception_4d/5x5_reduce
I1115 04:16:44.844360 14011 net.cpp:272] TRAIN Top shape for layer 107 'inception_4d/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.844369 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.844373 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.844382 14011 net.cpp:205] Created Layer inception_4d/relu_5x5_reduce (108)
I1115 04:16:44.844385 14011 net.cpp:577] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I1115 04:16:44.844389 14011 net.cpp:532] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I1115 04:16:44.844395 14011 net.cpp:265] Setting up inception_4d/relu_5x5_reduce
I1115 04:16:44.844398 14011 net.cpp:272] TRAIN Top shape for layer 108 'inception_4d/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.844410 14011 layer_factory.hpp:172] Creating layer 'inception_4d/5x5' of type 'Convolution'
I1115 04:16:44.844414 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.844431 14011 net.cpp:205] Created Layer inception_4d/5x5 (109)
I1115 04:16:44.844435 14011 net.cpp:577] inception_4d/5x5 <- inception_4d/5x5_reduce
I1115 04:16:44.844439 14011 net.cpp:547] inception_4d/5x5 -> inception_4d/5x5
I1115 04:16:44.845461 14011 net.cpp:265] Setting up inception_4d/5x5
I1115 04:16:44.845470 14011 net.cpp:272] TRAIN Top shape for layer 109 'inception_4d/5x5' 4 64 24 78 (479232)
I1115 04:16:44.845479 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5' of type 'ReLU'
I1115 04:16:44.845482 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.845489 14011 net.cpp:205] Created Layer inception_4d/relu_5x5 (110)
I1115 04:16:44.845492 14011 net.cpp:577] inception_4d/relu_5x5 <- inception_4d/5x5
I1115 04:16:44.845496 14011 net.cpp:532] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I1115 04:16:44.845502 14011 net.cpp:265] Setting up inception_4d/relu_5x5
I1115 04:16:44.845508 14011 net.cpp:272] TRAIN Top shape for layer 110 'inception_4d/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:44.845513 14011 layer_factory.hpp:172] Creating layer 'inception_4d/pool' of type 'Pooling'
I1115 04:16:44.845523 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.845531 14011 net.cpp:205] Created Layer inception_4d/pool (111)
I1115 04:16:44.845535 14011 net.cpp:577] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I1115 04:16:44.845541 14011 net.cpp:547] inception_4d/pool -> inception_4d/pool
I1115 04:16:44.845588 14011 net.cpp:265] Setting up inception_4d/pool
I1115 04:16:44.845594 14011 net.cpp:272] TRAIN Top shape for layer 111 'inception_4d/pool' 4 512 24 78 (3833856)
I1115 04:16:44.845618 14011 layer_factory.hpp:172] Creating layer 'inception_4d/pool_proj' of type 'Convolution'
I1115 04:16:44.845621 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.845633 14011 net.cpp:205] Created Layer inception_4d/pool_proj (112)
I1115 04:16:44.845638 14011 net.cpp:577] inception_4d/pool_proj <- inception_4d/pool
I1115 04:16:44.845643 14011 net.cpp:547] inception_4d/pool_proj -> inception_4d/pool_proj
I1115 04:16:44.846371 14011 net.cpp:265] Setting up inception_4d/pool_proj
I1115 04:16:44.846379 14011 net.cpp:272] TRAIN Top shape for layer 112 'inception_4d/pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.846388 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.846392 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.846400 14011 net.cpp:205] Created Layer inception_4d/relu_pool_proj (113)
I1115 04:16:44.846405 14011 net.cpp:577] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I1115 04:16:44.846408 14011 net.cpp:532] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I1115 04:16:44.846415 14011 net.cpp:265] Setting up inception_4d/relu_pool_proj
I1115 04:16:44.846417 14011 net.cpp:272] TRAIN Top shape for layer 113 'inception_4d/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:44.846422 14011 layer_factory.hpp:172] Creating layer 'inception_4d/output' of type 'Concat'
I1115 04:16:44.846433 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.846444 14011 net.cpp:205] Created Layer inception_4d/output (114)
I1115 04:16:44.846449 14011 net.cpp:577] inception_4d/output <- inception_4d/1x1
I1115 04:16:44.846453 14011 net.cpp:577] inception_4d/output <- inception_4d/3x3
I1115 04:16:44.846457 14011 net.cpp:577] inception_4d/output <- inception_4d/5x5
I1115 04:16:44.846462 14011 net.cpp:577] inception_4d/output <- inception_4d/pool_proj
I1115 04:16:44.846464 14011 net.cpp:547] inception_4d/output -> inception_4d/output
I1115 04:16:44.846487 14011 net.cpp:265] Setting up inception_4d/output
I1115 04:16:44.846493 14011 net.cpp:272] TRAIN Top shape for layer 114 'inception_4d/output' 4 528 24 78 (3953664)
I1115 04:16:44.846498 14011 layer_factory.hpp:172] Creating layer 'inception_4d/output_inception_4d/output_0_split' of type 'Split'
I1115 04:16:44.846503 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.846508 14011 net.cpp:205] Created Layer inception_4d/output_inception_4d/output_0_split (115)
I1115 04:16:44.846511 14011 net.cpp:577] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I1115 04:16:44.846515 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I1115 04:16:44.846521 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I1115 04:16:44.846526 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I1115 04:16:44.846531 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I1115 04:16:44.846580 14011 net.cpp:265] Setting up inception_4d/output_inception_4d/output_0_split
I1115 04:16:44.846586 14011 net.cpp:272] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:44.846591 14011 net.cpp:272] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:44.846596 14011 net.cpp:272] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:44.846601 14011 net.cpp:272] TRAIN Top shape for layer 115 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:44.846606 14011 layer_factory.hpp:172] Creating layer 'inception_4e/1x1' of type 'Convolution'
I1115 04:16:44.846624 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.846637 14011 net.cpp:205] Created Layer inception_4e/1x1 (116)
I1115 04:16:44.846642 14011 net.cpp:577] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_0
I1115 04:16:44.846647 14011 net.cpp:547] inception_4e/1x1 -> inception_4e/1x1
I1115 04:16:44.850282 14011 net.cpp:265] Setting up inception_4e/1x1
I1115 04:16:44.850293 14011 net.cpp:272] TRAIN Top shape for layer 116 'inception_4e/1x1' 4 256 24 78 (1916928)
I1115 04:16:44.850309 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_1x1' of type 'ReLU'
I1115 04:16:44.850314 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.850322 14011 net.cpp:205] Created Layer inception_4e/relu_1x1 (117)
I1115 04:16:44.850325 14011 net.cpp:577] inception_4e/relu_1x1 <- inception_4e/1x1
I1115 04:16:44.850330 14011 net.cpp:532] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I1115 04:16:44.850337 14011 net.cpp:265] Setting up inception_4e/relu_1x1
I1115 04:16:44.850339 14011 net.cpp:272] TRAIN Top shape for layer 117 'inception_4e/relu_1x1' 4 256 24 78 (1916928)
I1115 04:16:44.850344 14011 layer_factory.hpp:172] Creating layer 'inception_4e/3x3_reduce' of type 'Convolution'
I1115 04:16:44.850348 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.850361 14011 net.cpp:205] Created Layer inception_4e/3x3_reduce (118)
I1115 04:16:44.850366 14011 net.cpp:577] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_1
I1115 04:16:44.850371 14011 net.cpp:547] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I1115 04:16:44.851951 14011 net.cpp:265] Setting up inception_4e/3x3_reduce
I1115 04:16:44.851959 14011 net.cpp:272] TRAIN Top shape for layer 118 'inception_4e/3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:44.851969 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.851972 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.851979 14011 net.cpp:205] Created Layer inception_4e/relu_3x3_reduce (119)
I1115 04:16:44.851982 14011 net.cpp:577] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I1115 04:16:44.851987 14011 net.cpp:532] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I1115 04:16:44.851992 14011 net.cpp:265] Setting up inception_4e/relu_3x3_reduce
I1115 04:16:44.851995 14011 net.cpp:272] TRAIN Top shape for layer 119 'inception_4e/relu_3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:44.852006 14011 layer_factory.hpp:172] Creating layer 'inception_4e/3x3' of type 'Convolution'
I1115 04:16:44.852011 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.852026 14011 net.cpp:205] Created Layer inception_4e/3x3 (120)
I1115 04:16:44.852031 14011 net.cpp:577] inception_4e/3x3 <- inception_4e/3x3_reduce
I1115 04:16:44.852035 14011 net.cpp:547] inception_4e/3x3 -> inception_4e/3x3
I1115 04:16:44.860679 14011 net.cpp:265] Setting up inception_4e/3x3
I1115 04:16:44.860690 14011 net.cpp:272] TRAIN Top shape for layer 120 'inception_4e/3x3' 4 320 24 78 (2396160)
I1115 04:16:44.860700 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3' of type 'ReLU'
I1115 04:16:44.860704 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.860714 14011 net.cpp:205] Created Layer inception_4e/relu_3x3 (121)
I1115 04:16:44.860719 14011 net.cpp:577] inception_4e/relu_3x3 <- inception_4e/3x3
I1115 04:16:44.860723 14011 net.cpp:532] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I1115 04:16:44.860730 14011 net.cpp:265] Setting up inception_4e/relu_3x3
I1115 04:16:44.860733 14011 net.cpp:272] TRAIN Top shape for layer 121 'inception_4e/relu_3x3' 4 320 24 78 (2396160)
I1115 04:16:44.860766 14011 layer_factory.hpp:172] Creating layer 'inception_4e/5x5_reduce' of type 'Convolution'
I1115 04:16:44.860771 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.860792 14011 net.cpp:205] Created Layer inception_4e/5x5_reduce (122)
I1115 04:16:44.860798 14011 net.cpp:577] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_2
I1115 04:16:44.860803 14011 net.cpp:547] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I1115 04:16:44.861292 14011 net.cpp:265] Setting up inception_4e/5x5_reduce
I1115 04:16:44.861300 14011 net.cpp:272] TRAIN Top shape for layer 122 'inception_4e/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.861310 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.861312 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.861320 14011 net.cpp:205] Created Layer inception_4e/relu_5x5_reduce (123)
I1115 04:16:44.861325 14011 net.cpp:577] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I1115 04:16:44.861330 14011 net.cpp:532] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I1115 04:16:44.861335 14011 net.cpp:265] Setting up inception_4e/relu_5x5_reduce
I1115 04:16:44.861338 14011 net.cpp:272] TRAIN Top shape for layer 123 'inception_4e/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.861343 14011 layer_factory.hpp:172] Creating layer 'inception_4e/5x5' of type 'Convolution'
I1115 04:16:44.861346 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.861362 14011 net.cpp:205] Created Layer inception_4e/5x5 (124)
I1115 04:16:44.861366 14011 net.cpp:577] inception_4e/5x5 <- inception_4e/5x5_reduce
I1115 04:16:44.861371 14011 net.cpp:547] inception_4e/5x5 -> inception_4e/5x5
I1115 04:16:44.863162 14011 net.cpp:265] Setting up inception_4e/5x5
I1115 04:16:44.863170 14011 net.cpp:272] TRAIN Top shape for layer 124 'inception_4e/5x5' 4 128 24 78 (958464)
I1115 04:16:44.863178 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5' of type 'ReLU'
I1115 04:16:44.863189 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.863196 14011 net.cpp:205] Created Layer inception_4e/relu_5x5 (125)
I1115 04:16:44.863200 14011 net.cpp:577] inception_4e/relu_5x5 <- inception_4e/5x5
I1115 04:16:44.863204 14011 net.cpp:532] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I1115 04:16:44.863210 14011 net.cpp:265] Setting up inception_4e/relu_5x5
I1115 04:16:44.863214 14011 net.cpp:272] TRAIN Top shape for layer 125 'inception_4e/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:44.863219 14011 layer_factory.hpp:172] Creating layer 'inception_4e/pool' of type 'Pooling'
I1115 04:16:44.863222 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.863234 14011 net.cpp:205] Created Layer inception_4e/pool (126)
I1115 04:16:44.863237 14011 net.cpp:577] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_3
I1115 04:16:44.863241 14011 net.cpp:547] inception_4e/pool -> inception_4e/pool
I1115 04:16:44.863292 14011 net.cpp:265] Setting up inception_4e/pool
I1115 04:16:44.863297 14011 net.cpp:272] TRAIN Top shape for layer 126 'inception_4e/pool' 4 528 24 78 (3953664)
I1115 04:16:44.863303 14011 layer_factory.hpp:172] Creating layer 'inception_4e/pool_proj' of type 'Convolution'
I1115 04:16:44.863307 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.863318 14011 net.cpp:205] Created Layer inception_4e/pool_proj (127)
I1115 04:16:44.863322 14011 net.cpp:577] inception_4e/pool_proj <- inception_4e/pool
I1115 04:16:44.863327 14011 net.cpp:547] inception_4e/pool_proj -> inception_4e/pool_proj
I1115 04:16:44.864601 14011 net.cpp:265] Setting up inception_4e/pool_proj
I1115 04:16:44.864609 14011 net.cpp:272] TRAIN Top shape for layer 127 'inception_4e/pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.864634 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.864646 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.864665 14011 net.cpp:205] Created Layer inception_4e/relu_pool_proj (128)
I1115 04:16:44.864670 14011 net.cpp:577] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I1115 04:16:44.864675 14011 net.cpp:532] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I1115 04:16:44.864681 14011 net.cpp:265] Setting up inception_4e/relu_pool_proj
I1115 04:16:44.864683 14011 net.cpp:272] TRAIN Top shape for layer 128 'inception_4e/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.864689 14011 layer_factory.hpp:172] Creating layer 'inception_4e/output' of type 'Concat'
I1115 04:16:44.864692 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.864697 14011 net.cpp:205] Created Layer inception_4e/output (129)
I1115 04:16:44.864701 14011 net.cpp:577] inception_4e/output <- inception_4e/1x1
I1115 04:16:44.864706 14011 net.cpp:577] inception_4e/output <- inception_4e/3x3
I1115 04:16:44.864709 14011 net.cpp:577] inception_4e/output <- inception_4e/5x5
I1115 04:16:44.864713 14011 net.cpp:577] inception_4e/output <- inception_4e/pool_proj
I1115 04:16:44.864717 14011 net.cpp:547] inception_4e/output -> inception_4e/output
I1115 04:16:44.864740 14011 net.cpp:265] Setting up inception_4e/output
I1115 04:16:44.864754 14011 net.cpp:272] TRAIN Top shape for layer 129 'inception_4e/output' 4 832 24 78 (6230016)
I1115 04:16:44.864760 14011 layer_factory.hpp:172] Creating layer 'inception_4e/output_inception_4e/output_0_split' of type 'Split'
I1115 04:16:44.864764 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.864769 14011 net.cpp:205] Created Layer inception_4e/output_inception_4e/output_0_split (130)
I1115 04:16:44.864773 14011 net.cpp:577] inception_4e/output_inception_4e/output_0_split <- inception_4e/output
I1115 04:16:44.864778 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_0
I1115 04:16:44.864796 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_1
I1115 04:16:44.864801 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_2
I1115 04:16:44.864810 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_3
I1115 04:16:44.864864 14011 net.cpp:265] Setting up inception_4e/output_inception_4e/output_0_split
I1115 04:16:44.864869 14011 net.cpp:272] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.864874 14011 net.cpp:272] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.864879 14011 net.cpp:272] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.864883 14011 net.cpp:272] TRAIN Top shape for layer 130 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.864888 14011 layer_factory.hpp:172] Creating layer 'inception_5a/1x1' of type 'Convolution'
I1115 04:16:44.864898 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.864912 14011 net.cpp:205] Created Layer inception_5a/1x1 (131)
I1115 04:16:44.864917 14011 net.cpp:577] inception_5a/1x1 <- inception_4e/output_inception_4e/output_0_split_0
I1115 04:16:44.864923 14011 net.cpp:547] inception_5a/1x1 -> inception_5a/1x1
I1115 04:16:44.868419 14011 net.cpp:265] Setting up inception_5a/1x1
I1115 04:16:44.868427 14011 net.cpp:272] TRAIN Top shape for layer 131 'inception_5a/1x1' 4 256 24 78 (1916928)
I1115 04:16:44.868435 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_1x1' of type 'ReLU'
I1115 04:16:44.868455 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.868463 14011 net.cpp:205] Created Layer inception_5a/relu_1x1 (132)
I1115 04:16:44.868468 14011 net.cpp:577] inception_5a/relu_1x1 <- inception_5a/1x1
I1115 04:16:44.868471 14011 net.cpp:532] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I1115 04:16:44.868481 14011 net.cpp:265] Setting up inception_5a/relu_1x1
I1115 04:16:44.868485 14011 net.cpp:272] TRAIN Top shape for layer 132 'inception_5a/relu_1x1' 4 256 24 78 (1916928)
I1115 04:16:44.868492 14011 layer_factory.hpp:172] Creating layer 'inception_5a/3x3_reduce' of type 'Convolution'
I1115 04:16:44.868495 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.868510 14011 net.cpp:205] Created Layer inception_5a/3x3_reduce (133)
I1115 04:16:44.868515 14011 net.cpp:577] inception_5a/3x3_reduce <- inception_4e/output_inception_4e/output_0_split_1
I1115 04:16:44.868520 14011 net.cpp:547] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I1115 04:16:44.872112 14011 net.cpp:265] Setting up inception_5a/3x3_reduce
I1115 04:16:44.872123 14011 net.cpp:272] TRAIN Top shape for layer 133 'inception_5a/3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:44.872139 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.872144 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.872150 14011 net.cpp:205] Created Layer inception_5a/relu_3x3_reduce (134)
I1115 04:16:44.872155 14011 net.cpp:577] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I1115 04:16:44.872159 14011 net.cpp:532] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I1115 04:16:44.872165 14011 net.cpp:265] Setting up inception_5a/relu_3x3_reduce
I1115 04:16:44.872169 14011 net.cpp:272] TRAIN Top shape for layer 134 'inception_5a/relu_3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:44.872174 14011 layer_factory.hpp:172] Creating layer 'inception_5a/3x3' of type 'Convolution'
I1115 04:16:44.872179 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.872195 14011 net.cpp:205] Created Layer inception_5a/3x3 (135)
I1115 04:16:44.872200 14011 net.cpp:577] inception_5a/3x3 <- inception_5a/3x3_reduce
I1115 04:16:44.872203 14011 net.cpp:547] inception_5a/3x3 -> inception_5a/3x3
I1115 04:16:44.880870 14011 net.cpp:265] Setting up inception_5a/3x3
I1115 04:16:44.880882 14011 net.cpp:272] TRAIN Top shape for layer 135 'inception_5a/3x3' 4 320 24 78 (2396160)
I1115 04:16:44.880892 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3' of type 'ReLU'
I1115 04:16:44.880897 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.880903 14011 net.cpp:205] Created Layer inception_5a/relu_3x3 (136)
I1115 04:16:44.880906 14011 net.cpp:577] inception_5a/relu_3x3 <- inception_5a/3x3
I1115 04:16:44.880910 14011 net.cpp:532] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I1115 04:16:44.880916 14011 net.cpp:265] Setting up inception_5a/relu_3x3
I1115 04:16:44.880920 14011 net.cpp:272] TRAIN Top shape for layer 136 'inception_5a/relu_3x3' 4 320 24 78 (2396160)
I1115 04:16:44.880934 14011 layer_factory.hpp:172] Creating layer 'inception_5a/5x5_reduce' of type 'Convolution'
I1115 04:16:44.880939 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.880952 14011 net.cpp:205] Created Layer inception_5a/5x5_reduce (137)
I1115 04:16:44.880956 14011 net.cpp:577] inception_5a/5x5_reduce <- inception_4e/output_inception_4e/output_0_split_2
I1115 04:16:44.880961 14011 net.cpp:547] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I1115 04:16:44.881707 14011 net.cpp:265] Setting up inception_5a/5x5_reduce
I1115 04:16:44.881716 14011 net.cpp:272] TRAIN Top shape for layer 137 'inception_5a/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.881742 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.881747 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.881757 14011 net.cpp:205] Created Layer inception_5a/relu_5x5_reduce (138)
I1115 04:16:44.881760 14011 net.cpp:577] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I1115 04:16:44.881765 14011 net.cpp:532] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I1115 04:16:44.881770 14011 net.cpp:265] Setting up inception_5a/relu_5x5_reduce
I1115 04:16:44.881774 14011 net.cpp:272] TRAIN Top shape for layer 138 'inception_5a/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:44.881779 14011 layer_factory.hpp:172] Creating layer 'inception_5a/5x5' of type 'Convolution'
I1115 04:16:44.881783 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.881798 14011 net.cpp:205] Created Layer inception_5a/5x5 (139)
I1115 04:16:44.881803 14011 net.cpp:577] inception_5a/5x5 <- inception_5a/5x5_reduce
I1115 04:16:44.881808 14011 net.cpp:547] inception_5a/5x5 -> inception_5a/5x5
I1115 04:16:44.883610 14011 net.cpp:265] Setting up inception_5a/5x5
I1115 04:16:44.883618 14011 net.cpp:272] TRAIN Top shape for layer 139 'inception_5a/5x5' 4 128 24 78 (958464)
I1115 04:16:44.883636 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5' of type 'ReLU'
I1115 04:16:44.883641 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.883646 14011 net.cpp:205] Created Layer inception_5a/relu_5x5 (140)
I1115 04:16:44.883651 14011 net.cpp:577] inception_5a/relu_5x5 <- inception_5a/5x5
I1115 04:16:44.883654 14011 net.cpp:532] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I1115 04:16:44.883661 14011 net.cpp:265] Setting up inception_5a/relu_5x5
I1115 04:16:44.883663 14011 net.cpp:272] TRAIN Top shape for layer 140 'inception_5a/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:44.883668 14011 layer_factory.hpp:172] Creating layer 'inception_5a/pool' of type 'Pooling'
I1115 04:16:44.883672 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.883683 14011 net.cpp:205] Created Layer inception_5a/pool (141)
I1115 04:16:44.883688 14011 net.cpp:577] inception_5a/pool <- inception_4e/output_inception_4e/output_0_split_3
I1115 04:16:44.883692 14011 net.cpp:547] inception_5a/pool -> inception_5a/pool
I1115 04:16:44.883741 14011 net.cpp:265] Setting up inception_5a/pool
I1115 04:16:44.883746 14011 net.cpp:272] TRAIN Top shape for layer 141 'inception_5a/pool' 4 832 24 78 (6230016)
I1115 04:16:44.883752 14011 layer_factory.hpp:172] Creating layer 'inception_5a/pool_proj' of type 'Convolution'
I1115 04:16:44.883756 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.883769 14011 net.cpp:205] Created Layer inception_5a/pool_proj (142)
I1115 04:16:44.883774 14011 net.cpp:577] inception_5a/pool_proj <- inception_5a/pool
I1115 04:16:44.883777 14011 net.cpp:547] inception_5a/pool_proj -> inception_5a/pool_proj
I1115 04:16:44.885649 14011 net.cpp:265] Setting up inception_5a/pool_proj
I1115 04:16:44.885658 14011 net.cpp:272] TRAIN Top shape for layer 142 'inception_5a/pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.885674 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.885679 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.885684 14011 net.cpp:205] Created Layer inception_5a/relu_pool_proj (143)
I1115 04:16:44.885689 14011 net.cpp:577] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I1115 04:16:44.885692 14011 net.cpp:532] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I1115 04:16:44.885700 14011 net.cpp:265] Setting up inception_5a/relu_pool_proj
I1115 04:16:44.885704 14011 net.cpp:272] TRAIN Top shape for layer 143 'inception_5a/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.885725 14011 layer_factory.hpp:172] Creating layer 'inception_5a/output' of type 'Concat'
I1115 04:16:44.885730 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.885743 14011 net.cpp:205] Created Layer inception_5a/output (144)
I1115 04:16:44.885748 14011 net.cpp:577] inception_5a/output <- inception_5a/1x1
I1115 04:16:44.885752 14011 net.cpp:577] inception_5a/output <- inception_5a/3x3
I1115 04:16:44.885756 14011 net.cpp:577] inception_5a/output <- inception_5a/5x5
I1115 04:16:44.885761 14011 net.cpp:577] inception_5a/output <- inception_5a/pool_proj
I1115 04:16:44.885764 14011 net.cpp:547] inception_5a/output -> inception_5a/output
I1115 04:16:44.885787 14011 net.cpp:265] Setting up inception_5a/output
I1115 04:16:44.885792 14011 net.cpp:272] TRAIN Top shape for layer 144 'inception_5a/output' 4 832 24 78 (6230016)
I1115 04:16:44.885797 14011 layer_factory.hpp:172] Creating layer 'inception_5a/output_inception_5a/output_0_split' of type 'Split'
I1115 04:16:44.885807 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.885814 14011 net.cpp:205] Created Layer inception_5a/output_inception_5a/output_0_split (145)
I1115 04:16:44.885818 14011 net.cpp:577] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I1115 04:16:44.885823 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I1115 04:16:44.885828 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I1115 04:16:44.885833 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I1115 04:16:44.885838 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I1115 04:16:44.885885 14011 net.cpp:265] Setting up inception_5a/output_inception_5a/output_0_split
I1115 04:16:44.885890 14011 net.cpp:272] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.885895 14011 net.cpp:272] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.885900 14011 net.cpp:272] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.885905 14011 net.cpp:272] TRAIN Top shape for layer 145 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:44.885910 14011 layer_factory.hpp:172] Creating layer 'inception_5b/1x1' of type 'Convolution'
I1115 04:16:44.885913 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.885926 14011 net.cpp:205] Created Layer inception_5b/1x1 (146)
I1115 04:16:44.885931 14011 net.cpp:577] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I1115 04:16:44.885934 14011 net.cpp:547] inception_5b/1x1 -> inception_5b/1x1
I1115 04:16:44.892359 14011 net.cpp:265] Setting up inception_5b/1x1
I1115 04:16:44.892370 14011 net.cpp:272] TRAIN Top shape for layer 146 'inception_5b/1x1' 4 384 24 78 (2875392)
I1115 04:16:44.892380 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_1x1' of type 'ReLU'
I1115 04:16:44.892385 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.892390 14011 net.cpp:205] Created Layer inception_5b/relu_1x1 (147)
I1115 04:16:44.892395 14011 net.cpp:577] inception_5b/relu_1x1 <- inception_5b/1x1
I1115 04:16:44.892400 14011 net.cpp:532] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I1115 04:16:44.892405 14011 net.cpp:265] Setting up inception_5b/relu_1x1
I1115 04:16:44.892408 14011 net.cpp:272] TRAIN Top shape for layer 147 'inception_5b/relu_1x1' 4 384 24 78 (2875392)
I1115 04:16:44.892413 14011 layer_factory.hpp:172] Creating layer 'inception_5b/3x3_reduce' of type 'Convolution'
I1115 04:16:44.892436 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.892452 14011 net.cpp:205] Created Layer inception_5b/3x3_reduce (148)
I1115 04:16:44.892457 14011 net.cpp:577] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I1115 04:16:44.892462 14011 net.cpp:547] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I1115 04:16:44.895174 14011 net.cpp:265] Setting up inception_5b/3x3_reduce
I1115 04:16:44.895184 14011 net.cpp:272] TRAIN Top shape for layer 148 'inception_5b/3x3_reduce' 4 192 24 78 (1437696)
I1115 04:16:44.895198 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:44.895203 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.895211 14011 net.cpp:205] Created Layer inception_5b/relu_3x3_reduce (149)
I1115 04:16:44.895216 14011 net.cpp:577] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I1115 04:16:44.895220 14011 net.cpp:532] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I1115 04:16:44.895226 14011 net.cpp:265] Setting up inception_5b/relu_3x3_reduce
I1115 04:16:44.895229 14011 net.cpp:272] TRAIN Top shape for layer 149 'inception_5b/relu_3x3_reduce' 4 192 24 78 (1437696)
I1115 04:16:44.895234 14011 layer_factory.hpp:172] Creating layer 'inception_5b/3x3' of type 'Convolution'
I1115 04:16:44.895238 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.895258 14011 net.cpp:205] Created Layer inception_5b/3x3 (150)
I1115 04:16:44.895262 14011 net.cpp:577] inception_5b/3x3 <- inception_5b/3x3_reduce
I1115 04:16:44.895267 14011 net.cpp:547] inception_5b/3x3 -> inception_5b/3x3
I1115 04:16:44.907224 14011 net.cpp:265] Setting up inception_5b/3x3
I1115 04:16:44.907235 14011 net.cpp:272] TRAIN Top shape for layer 150 'inception_5b/3x3' 4 384 24 78 (2875392)
I1115 04:16:44.907244 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3' of type 'ReLU'
I1115 04:16:44.907249 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.907255 14011 net.cpp:205] Created Layer inception_5b/relu_3x3 (151)
I1115 04:16:44.907259 14011 net.cpp:577] inception_5b/relu_3x3 <- inception_5b/3x3
I1115 04:16:44.907263 14011 net.cpp:532] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I1115 04:16:44.907269 14011 net.cpp:265] Setting up inception_5b/relu_3x3
I1115 04:16:44.907272 14011 net.cpp:272] TRAIN Top shape for layer 151 'inception_5b/relu_3x3' 4 384 24 78 (2875392)
I1115 04:16:44.907277 14011 layer_factory.hpp:172] Creating layer 'inception_5b/5x5_reduce' of type 'Convolution'
I1115 04:16:44.907281 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.907295 14011 net.cpp:205] Created Layer inception_5b/5x5_reduce (152)
I1115 04:16:44.907299 14011 net.cpp:577] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I1115 04:16:44.907305 14011 net.cpp:547] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I1115 04:16:44.908161 14011 net.cpp:265] Setting up inception_5b/5x5_reduce
I1115 04:16:44.908169 14011 net.cpp:272] TRAIN Top shape for layer 152 'inception_5b/5x5_reduce' 4 48 24 78 (359424)
I1115 04:16:44.908179 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:44.908182 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.908190 14011 net.cpp:205] Created Layer inception_5b/relu_5x5_reduce (153)
I1115 04:16:44.908195 14011 net.cpp:577] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I1115 04:16:44.908198 14011 net.cpp:532] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I1115 04:16:44.908205 14011 net.cpp:265] Setting up inception_5b/relu_5x5_reduce
I1115 04:16:44.908207 14011 net.cpp:272] TRAIN Top shape for layer 153 'inception_5b/relu_5x5_reduce' 4 48 24 78 (359424)
I1115 04:16:44.908231 14011 layer_factory.hpp:172] Creating layer 'inception_5b/5x5' of type 'Convolution'
I1115 04:16:44.908236 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.908252 14011 net.cpp:205] Created Layer inception_5b/5x5 (154)
I1115 04:16:44.908257 14011 net.cpp:577] inception_5b/5x5 <- inception_5b/5x5_reduce
I1115 04:16:44.908260 14011 net.cpp:547] inception_5b/5x5 -> inception_5b/5x5
I1115 04:16:44.910861 14011 net.cpp:265] Setting up inception_5b/5x5
I1115 04:16:44.910868 14011 net.cpp:272] TRAIN Top shape for layer 154 'inception_5b/5x5' 4 128 24 78 (958464)
I1115 04:16:44.910877 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5' of type 'ReLU'
I1115 04:16:44.910881 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.910887 14011 net.cpp:205] Created Layer inception_5b/relu_5x5 (155)
I1115 04:16:44.910892 14011 net.cpp:577] inception_5b/relu_5x5 <- inception_5b/5x5
I1115 04:16:44.910895 14011 net.cpp:532] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I1115 04:16:44.910902 14011 net.cpp:265] Setting up inception_5b/relu_5x5
I1115 04:16:44.910904 14011 net.cpp:272] TRAIN Top shape for layer 155 'inception_5b/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:44.910909 14011 layer_factory.hpp:172] Creating layer 'inception_5b/pool' of type 'Pooling'
I1115 04:16:44.910921 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.910931 14011 net.cpp:205] Created Layer inception_5b/pool (156)
I1115 04:16:44.910936 14011 net.cpp:577] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I1115 04:16:44.910940 14011 net.cpp:547] inception_5b/pool -> inception_5b/pool
I1115 04:16:44.910991 14011 net.cpp:265] Setting up inception_5b/pool
I1115 04:16:44.910997 14011 net.cpp:272] TRAIN Top shape for layer 156 'inception_5b/pool' 4 832 24 78 (6230016)
I1115 04:16:44.911003 14011 layer_factory.hpp:172] Creating layer 'inception_5b/pool_proj' of type 'Convolution'
I1115 04:16:44.911007 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.911018 14011 net.cpp:205] Created Layer inception_5b/pool_proj (157)
I1115 04:16:44.911022 14011 net.cpp:577] inception_5b/pool_proj <- inception_5b/pool
I1115 04:16:44.911026 14011 net.cpp:547] inception_5b/pool_proj -> inception_5b/pool_proj
I1115 04:16:44.914687 14011 net.cpp:265] Setting up inception_5b/pool_proj
I1115 04:16:44.914697 14011 net.cpp:272] TRAIN Top shape for layer 157 'inception_5b/pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.914707 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_pool_proj' of type 'ReLU'
I1115 04:16:44.914711 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.914721 14011 net.cpp:205] Created Layer inception_5b/relu_pool_proj (158)
I1115 04:16:44.914726 14011 net.cpp:577] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I1115 04:16:44.914729 14011 net.cpp:532] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I1115 04:16:44.914736 14011 net.cpp:265] Setting up inception_5b/relu_pool_proj
I1115 04:16:44.914738 14011 net.cpp:272] TRAIN Top shape for layer 158 'inception_5b/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:44.914743 14011 layer_factory.hpp:172] Creating layer 'inception_5b/output' of type 'Concat'
I1115 04:16:44.914755 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.914764 14011 net.cpp:205] Created Layer inception_5b/output (159)
I1115 04:16:44.914768 14011 net.cpp:577] inception_5b/output <- inception_5b/1x1
I1115 04:16:44.914772 14011 net.cpp:577] inception_5b/output <- inception_5b/3x3
I1115 04:16:44.914777 14011 net.cpp:577] inception_5b/output <- inception_5b/5x5
I1115 04:16:44.914780 14011 net.cpp:577] inception_5b/output <- inception_5b/pool_proj
I1115 04:16:44.914784 14011 net.cpp:547] inception_5b/output -> inception_5b/output
I1115 04:16:44.914825 14011 net.cpp:265] Setting up inception_5b/output
I1115 04:16:44.914831 14011 net.cpp:272] TRAIN Top shape for layer 159 'inception_5b/output' 4 1024 24 78 (7667712)
I1115 04:16:44.914839 14011 layer_factory.hpp:172] Creating layer 'pool5/drop_s1' of type 'Dropout'
I1115 04:16:44.914842 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.914852 14011 net.cpp:205] Created Layer pool5/drop_s1 (160)
I1115 04:16:44.914857 14011 net.cpp:577] pool5/drop_s1 <- inception_5b/output
I1115 04:16:44.914861 14011 net.cpp:547] pool5/drop_s1 -> pool5/drop_s1
I1115 04:16:44.923414 14011 net.cpp:265] Setting up pool5/drop_s1
I1115 04:16:44.923426 14011 net.cpp:272] TRAIN Top shape for layer 160 'pool5/drop_s1' 4 1024 24 78 (7667712)
I1115 04:16:44.923434 14011 layer_factory.hpp:172] Creating layer 'pool5/drop_s1_pool5/drop_s1_0_split' of type 'Split'
I1115 04:16:44.923439 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.923444 14011 net.cpp:205] Created Layer pool5/drop_s1_pool5/drop_s1_0_split (161)
I1115 04:16:44.923449 14011 net.cpp:577] pool5/drop_s1_pool5/drop_s1_0_split <- pool5/drop_s1
I1115 04:16:44.923454 14011 net.cpp:547] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_0
I1115 04:16:44.923460 14011 net.cpp:547] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_1
I1115 04:16:44.923493 14011 net.cpp:265] Setting up pool5/drop_s1_pool5/drop_s1_0_split
I1115 04:16:44.923499 14011 net.cpp:272] TRAIN Top shape for layer 161 'pool5/drop_s1_pool5/drop_s1_0_split' 4 1024 24 78 (7667712)
I1115 04:16:44.923504 14011 net.cpp:272] TRAIN Top shape for layer 161 'pool5/drop_s1_pool5/drop_s1_0_split' 4 1024 24 78 (7667712)
I1115 04:16:44.923511 14011 layer_factory.hpp:172] Creating layer 'cvg/classifier' of type 'Convolution'
I1115 04:16:44.923513 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.923532 14011 net.cpp:205] Created Layer cvg/classifier (162)
I1115 04:16:44.923537 14011 net.cpp:577] cvg/classifier <- pool5/drop_s1_pool5/drop_s1_0_split_0
I1115 04:16:44.923542 14011 net.cpp:547] cvg/classifier -> cvg/classifier
I1115 04:16:44.923771 14011 net.cpp:265] Setting up cvg/classifier
I1115 04:16:44.923780 14011 net.cpp:272] TRAIN Top shape for layer 162 'cvg/classifier' 4 1 24 78 (7488)
I1115 04:16:44.923789 14011 layer_factory.hpp:172] Creating layer 'coverage/sig' of type 'Sigmoid'
I1115 04:16:44.923800 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.923811 14011 net.cpp:205] Created Layer coverage/sig (163)
I1115 04:16:44.923815 14011 net.cpp:577] coverage/sig <- cvg/classifier
I1115 04:16:44.923820 14011 net.cpp:547] coverage/sig -> coverage
I1115 04:16:44.923846 14011 net.cpp:265] Setting up coverage/sig
I1115 04:16:44.923851 14011 net.cpp:272] TRAIN Top shape for layer 163 'coverage/sig' 4 1 24 78 (7488)
I1115 04:16:44.923857 14011 layer_factory.hpp:172] Creating layer 'bbox/regressor' of type 'Convolution'
I1115 04:16:44.923861 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.923872 14011 net.cpp:205] Created Layer bbox/regressor (164)
I1115 04:16:44.923877 14011 net.cpp:577] bbox/regressor <- pool5/drop_s1_pool5/drop_s1_0_split_1
I1115 04:16:44.923882 14011 net.cpp:547] bbox/regressor -> bboxes
I1115 04:16:44.924147 14011 net.cpp:265] Setting up bbox/regressor
I1115 04:16:44.924155 14011 net.cpp:272] TRAIN Top shape for layer 164 'bbox/regressor' 4 4 24 78 (29952)
I1115 04:16:44.924165 14011 layer_factory.hpp:172] Creating layer 'bbox_mask' of type 'Eltwise'
I1115 04:16:44.924167 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.924181 14011 net.cpp:205] Created Layer bbox_mask (165)
I1115 04:16:44.924186 14011 net.cpp:577] bbox_mask <- bboxes
I1115 04:16:44.924191 14011 net.cpp:577] bbox_mask <- coverage-block
I1115 04:16:44.924211 14011 net.cpp:547] bbox_mask -> bboxes-masked
I1115 04:16:44.924239 14011 net.cpp:265] Setting up bbox_mask
I1115 04:16:44.924245 14011 net.cpp:272] TRAIN Top shape for layer 165 'bbox_mask' 4 4 24 78 (29952)
I1115 04:16:44.924252 14011 layer_factory.hpp:172] Creating layer 'bbox-norm' of type 'Eltwise'
I1115 04:16:44.924255 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.924273 14011 net.cpp:205] Created Layer bbox-norm (166)
I1115 04:16:44.924278 14011 net.cpp:577] bbox-norm <- bboxes-masked
I1115 04:16:44.924281 14011 net.cpp:577] bbox-norm <- size-block_size-block_0_split_1
I1115 04:16:44.924286 14011 net.cpp:547] bbox-norm -> bboxes-masked-norm
I1115 04:16:44.924307 14011 net.cpp:265] Setting up bbox-norm
I1115 04:16:44.924312 14011 net.cpp:272] TRAIN Top shape for layer 166 'bbox-norm' 4 4 24 78 (29952)
I1115 04:16:44.924317 14011 layer_factory.hpp:172] Creating layer 'bbox-obj-norm' of type 'Eltwise'
I1115 04:16:44.924321 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.924327 14011 net.cpp:205] Created Layer bbox-obj-norm (167)
I1115 04:16:44.924330 14011 net.cpp:577] bbox-obj-norm <- bboxes-masked-norm
I1115 04:16:44.924335 14011 net.cpp:577] bbox-obj-norm <- obj-block_obj-block_0_split_1
I1115 04:16:44.924340 14011 net.cpp:547] bbox-obj-norm -> bboxes-obj-masked-norm
I1115 04:16:44.924358 14011 net.cpp:265] Setting up bbox-obj-norm
I1115 04:16:44.924362 14011 net.cpp:272] TRAIN Top shape for layer 167 'bbox-obj-norm' 4 4 24 78 (29952)
I1115 04:16:44.924367 14011 layer_factory.hpp:172] Creating layer 'bbox_loss' of type 'L1Loss'
I1115 04:16:44.924372 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.924381 14011 net.cpp:205] Created Layer bbox_loss (168)
I1115 04:16:44.924386 14011 net.cpp:577] bbox_loss <- bboxes-obj-masked-norm
I1115 04:16:44.924391 14011 net.cpp:577] bbox_loss <- bbox-obj-label-norm
I1115 04:16:44.924394 14011 net.cpp:547] bbox_loss -> loss_bbox
I1115 04:16:44.924434 14011 net.cpp:265] Setting up bbox_loss
I1115 04:16:44.924439 14011 net.cpp:272] TRAIN Top shape for layer 168 'bbox_loss' (1)
I1115 04:16:44.924444 14011 net.cpp:276]     with loss weight 2
I1115 04:16:44.924469 14011 layer_factory.hpp:172] Creating layer 'coverage_loss' of type 'EuclideanLoss'
I1115 04:16:44.924474 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.924484 14011 net.cpp:205] Created Layer coverage_loss (169)
I1115 04:16:44.924487 14011 net.cpp:577] coverage_loss <- coverage
I1115 04:16:44.924491 14011 net.cpp:577] coverage_loss <- coverage-label
I1115 04:16:44.924495 14011 net.cpp:547] coverage_loss -> loss_coverage
I1115 04:16:44.924527 14011 net.cpp:265] Setting up coverage_loss
I1115 04:16:44.924531 14011 net.cpp:272] TRAIN Top shape for layer 169 'coverage_loss' (1)
I1115 04:16:44.924536 14011 net.cpp:276]     with loss weight 1
I1115 04:16:44.924541 14011 net.cpp:341] coverage_loss needs backward computation.
I1115 04:16:44.924546 14011 net.cpp:341] bbox_loss needs backward computation.
I1115 04:16:44.924551 14011 net.cpp:341] bbox-obj-norm needs backward computation.
I1115 04:16:44.924556 14011 net.cpp:341] bbox-norm needs backward computation.
I1115 04:16:44.924561 14011 net.cpp:341] bbox_mask needs backward computation.
I1115 04:16:44.924564 14011 net.cpp:341] bbox/regressor needs backward computation.
I1115 04:16:44.924568 14011 net.cpp:341] coverage/sig needs backward computation.
I1115 04:16:44.924571 14011 net.cpp:341] cvg/classifier needs backward computation.
I1115 04:16:44.924576 14011 net.cpp:341] pool5/drop_s1_pool5/drop_s1_0_split needs backward computation.
I1115 04:16:44.924579 14011 net.cpp:341] pool5/drop_s1 needs backward computation.
I1115 04:16:44.924582 14011 net.cpp:341] inception_5b/output needs backward computation.
I1115 04:16:44.924587 14011 net.cpp:341] inception_5b/relu_pool_proj needs backward computation.
I1115 04:16:44.924602 14011 net.cpp:341] inception_5b/pool_proj needs backward computation.
I1115 04:16:44.924607 14011 net.cpp:341] inception_5b/pool needs backward computation.
I1115 04:16:44.924610 14011 net.cpp:341] inception_5b/relu_5x5 needs backward computation.
I1115 04:16:44.924614 14011 net.cpp:341] inception_5b/5x5 needs backward computation.
I1115 04:16:44.924618 14011 net.cpp:341] inception_5b/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924621 14011 net.cpp:341] inception_5b/5x5_reduce needs backward computation.
I1115 04:16:44.924624 14011 net.cpp:341] inception_5b/relu_3x3 needs backward computation.
I1115 04:16:44.924628 14011 net.cpp:341] inception_5b/3x3 needs backward computation.
I1115 04:16:44.924631 14011 net.cpp:341] inception_5b/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924634 14011 net.cpp:341] inception_5b/3x3_reduce needs backward computation.
I1115 04:16:44.924638 14011 net.cpp:341] inception_5b/relu_1x1 needs backward computation.
I1115 04:16:44.924641 14011 net.cpp:341] inception_5b/1x1 needs backward computation.
I1115 04:16:44.924645 14011 net.cpp:341] inception_5a/output_inception_5a/output_0_split needs backward computation.
I1115 04:16:44.924649 14011 net.cpp:341] inception_5a/output needs backward computation.
I1115 04:16:44.924652 14011 net.cpp:341] inception_5a/relu_pool_proj needs backward computation.
I1115 04:16:44.924655 14011 net.cpp:341] inception_5a/pool_proj needs backward computation.
I1115 04:16:44.924659 14011 net.cpp:341] inception_5a/pool needs backward computation.
I1115 04:16:44.924662 14011 net.cpp:341] inception_5a/relu_5x5 needs backward computation.
I1115 04:16:44.924666 14011 net.cpp:341] inception_5a/5x5 needs backward computation.
I1115 04:16:44.924670 14011 net.cpp:341] inception_5a/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924674 14011 net.cpp:341] inception_5a/5x5_reduce needs backward computation.
I1115 04:16:44.924677 14011 net.cpp:341] inception_5a/relu_3x3 needs backward computation.
I1115 04:16:44.924681 14011 net.cpp:341] inception_5a/3x3 needs backward computation.
I1115 04:16:44.924685 14011 net.cpp:341] inception_5a/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924687 14011 net.cpp:341] inception_5a/3x3_reduce needs backward computation.
I1115 04:16:44.924691 14011 net.cpp:341] inception_5a/relu_1x1 needs backward computation.
I1115 04:16:44.924695 14011 net.cpp:341] inception_5a/1x1 needs backward computation.
I1115 04:16:44.924697 14011 net.cpp:341] inception_4e/output_inception_4e/output_0_split needs backward computation.
I1115 04:16:44.924701 14011 net.cpp:341] inception_4e/output needs backward computation.
I1115 04:16:44.924705 14011 net.cpp:341] inception_4e/relu_pool_proj needs backward computation.
I1115 04:16:44.924708 14011 net.cpp:341] inception_4e/pool_proj needs backward computation.
I1115 04:16:44.924712 14011 net.cpp:341] inception_4e/pool needs backward computation.
I1115 04:16:44.924715 14011 net.cpp:341] inception_4e/relu_5x5 needs backward computation.
I1115 04:16:44.924719 14011 net.cpp:341] inception_4e/5x5 needs backward computation.
I1115 04:16:44.924722 14011 net.cpp:341] inception_4e/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924726 14011 net.cpp:341] inception_4e/5x5_reduce needs backward computation.
I1115 04:16:44.924729 14011 net.cpp:341] inception_4e/relu_3x3 needs backward computation.
I1115 04:16:44.924732 14011 net.cpp:341] inception_4e/3x3 needs backward computation.
I1115 04:16:44.924736 14011 net.cpp:341] inception_4e/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924739 14011 net.cpp:341] inception_4e/3x3_reduce needs backward computation.
I1115 04:16:44.924749 14011 net.cpp:341] inception_4e/relu_1x1 needs backward computation.
I1115 04:16:44.924753 14011 net.cpp:341] inception_4e/1x1 needs backward computation.
I1115 04:16:44.924757 14011 net.cpp:341] inception_4d/output_inception_4d/output_0_split needs backward computation.
I1115 04:16:44.924760 14011 net.cpp:341] inception_4d/output needs backward computation.
I1115 04:16:44.924774 14011 net.cpp:341] inception_4d/relu_pool_proj needs backward computation.
I1115 04:16:44.924777 14011 net.cpp:341] inception_4d/pool_proj needs backward computation.
I1115 04:16:44.924782 14011 net.cpp:341] inception_4d/pool needs backward computation.
I1115 04:16:44.924784 14011 net.cpp:341] inception_4d/relu_5x5 needs backward computation.
I1115 04:16:44.924788 14011 net.cpp:341] inception_4d/5x5 needs backward computation.
I1115 04:16:44.924791 14011 net.cpp:341] inception_4d/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924794 14011 net.cpp:341] inception_4d/5x5_reduce needs backward computation.
I1115 04:16:44.924798 14011 net.cpp:341] inception_4d/relu_3x3 needs backward computation.
I1115 04:16:44.924801 14011 net.cpp:341] inception_4d/3x3 needs backward computation.
I1115 04:16:44.924805 14011 net.cpp:341] inception_4d/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924808 14011 net.cpp:341] inception_4d/3x3_reduce needs backward computation.
I1115 04:16:44.924811 14011 net.cpp:341] inception_4d/relu_1x1 needs backward computation.
I1115 04:16:44.924814 14011 net.cpp:341] inception_4d/1x1 needs backward computation.
I1115 04:16:44.924818 14011 net.cpp:341] inception_4c/output_inception_4c/output_0_split needs backward computation.
I1115 04:16:44.924821 14011 net.cpp:341] inception_4c/output needs backward computation.
I1115 04:16:44.924825 14011 net.cpp:341] inception_4c/relu_pool_proj needs backward computation.
I1115 04:16:44.924829 14011 net.cpp:341] inception_4c/pool_proj needs backward computation.
I1115 04:16:44.924834 14011 net.cpp:341] inception_4c/pool needs backward computation.
I1115 04:16:44.924837 14011 net.cpp:341] inception_4c/relu_5x5 needs backward computation.
I1115 04:16:44.924840 14011 net.cpp:341] inception_4c/5x5 needs backward computation.
I1115 04:16:44.924844 14011 net.cpp:341] inception_4c/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924847 14011 net.cpp:341] inception_4c/5x5_reduce needs backward computation.
I1115 04:16:44.924851 14011 net.cpp:341] inception_4c/relu_3x3 needs backward computation.
I1115 04:16:44.924854 14011 net.cpp:341] inception_4c/3x3 needs backward computation.
I1115 04:16:44.924859 14011 net.cpp:341] inception_4c/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924861 14011 net.cpp:341] inception_4c/3x3_reduce needs backward computation.
I1115 04:16:44.924865 14011 net.cpp:341] inception_4c/relu_1x1 needs backward computation.
I1115 04:16:44.924868 14011 net.cpp:341] inception_4c/1x1 needs backward computation.
I1115 04:16:44.924872 14011 net.cpp:341] inception_4b/output_inception_4b/output_0_split needs backward computation.
I1115 04:16:44.924875 14011 net.cpp:341] inception_4b/output needs backward computation.
I1115 04:16:44.924880 14011 net.cpp:341] inception_4b/relu_pool_proj needs backward computation.
I1115 04:16:44.924883 14011 net.cpp:341] inception_4b/pool_proj needs backward computation.
I1115 04:16:44.924886 14011 net.cpp:341] inception_4b/pool needs backward computation.
I1115 04:16:44.924890 14011 net.cpp:341] inception_4b/relu_5x5 needs backward computation.
I1115 04:16:44.924893 14011 net.cpp:341] inception_4b/5x5 needs backward computation.
I1115 04:16:44.924897 14011 net.cpp:341] inception_4b/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924901 14011 net.cpp:341] inception_4b/5x5_reduce needs backward computation.
I1115 04:16:44.924903 14011 net.cpp:341] inception_4b/relu_3x3 needs backward computation.
I1115 04:16:44.924907 14011 net.cpp:341] inception_4b/3x3 needs backward computation.
I1115 04:16:44.924911 14011 net.cpp:341] inception_4b/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924913 14011 net.cpp:341] inception_4b/3x3_reduce needs backward computation.
I1115 04:16:44.924917 14011 net.cpp:341] inception_4b/relu_1x1 needs backward computation.
I1115 04:16:44.924921 14011 net.cpp:341] inception_4b/1x1 needs backward computation.
I1115 04:16:44.924923 14011 net.cpp:341] inception_4a/output_inception_4a/output_0_split needs backward computation.
I1115 04:16:44.924934 14011 net.cpp:341] inception_4a/output needs backward computation.
I1115 04:16:44.924938 14011 net.cpp:341] inception_4a/relu_pool_proj needs backward computation.
I1115 04:16:44.924942 14011 net.cpp:341] inception_4a/pool_proj needs backward computation.
I1115 04:16:44.924947 14011 net.cpp:341] inception_4a/pool needs backward computation.
I1115 04:16:44.924952 14011 net.cpp:341] inception_4a/relu_5x5 needs backward computation.
I1115 04:16:44.924954 14011 net.cpp:341] inception_4a/5x5 needs backward computation.
I1115 04:16:44.924958 14011 net.cpp:341] inception_4a/relu_5x5_reduce needs backward computation.
I1115 04:16:44.924962 14011 net.cpp:341] inception_4a/5x5_reduce needs backward computation.
I1115 04:16:44.924964 14011 net.cpp:341] inception_4a/relu_3x3 needs backward computation.
I1115 04:16:44.924968 14011 net.cpp:341] inception_4a/3x3 needs backward computation.
I1115 04:16:44.924971 14011 net.cpp:341] inception_4a/relu_3x3_reduce needs backward computation.
I1115 04:16:44.924975 14011 net.cpp:341] inception_4a/3x3_reduce needs backward computation.
I1115 04:16:44.924979 14011 net.cpp:341] inception_4a/relu_1x1 needs backward computation.
I1115 04:16:44.924983 14011 net.cpp:341] inception_4a/1x1 needs backward computation.
I1115 04:16:44.924986 14011 net.cpp:341] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I1115 04:16:44.924989 14011 net.cpp:341] pool3/3x3_s2 needs backward computation.
I1115 04:16:44.924993 14011 net.cpp:341] inception_3b/output needs backward computation.
I1115 04:16:44.924999 14011 net.cpp:341] inception_3b/relu_pool_proj needs backward computation.
I1115 04:16:44.925004 14011 net.cpp:341] inception_3b/pool_proj needs backward computation.
I1115 04:16:44.925006 14011 net.cpp:341] inception_3b/pool needs backward computation.
I1115 04:16:44.925009 14011 net.cpp:341] inception_3b/relu_5x5 needs backward computation.
I1115 04:16:44.925014 14011 net.cpp:341] inception_3b/5x5 needs backward computation.
I1115 04:16:44.925017 14011 net.cpp:341] inception_3b/relu_5x5_reduce needs backward computation.
I1115 04:16:44.925021 14011 net.cpp:341] inception_3b/5x5_reduce needs backward computation.
I1115 04:16:44.925024 14011 net.cpp:341] inception_3b/relu_3x3 needs backward computation.
I1115 04:16:44.925029 14011 net.cpp:341] inception_3b/3x3 needs backward computation.
I1115 04:16:44.925031 14011 net.cpp:341] inception_3b/relu_3x3_reduce needs backward computation.
I1115 04:16:44.925034 14011 net.cpp:341] inception_3b/3x3_reduce needs backward computation.
I1115 04:16:44.925038 14011 net.cpp:341] inception_3b/relu_1x1 needs backward computation.
I1115 04:16:44.925041 14011 net.cpp:341] inception_3b/1x1 needs backward computation.
I1115 04:16:44.925045 14011 net.cpp:341] inception_3a/output_inception_3a/output_0_split needs backward computation.
I1115 04:16:44.925048 14011 net.cpp:341] inception_3a/output needs backward computation.
I1115 04:16:44.925052 14011 net.cpp:341] inception_3a/relu_pool_proj needs backward computation.
I1115 04:16:44.925055 14011 net.cpp:341] inception_3a/pool_proj needs backward computation.
I1115 04:16:44.925060 14011 net.cpp:341] inception_3a/pool needs backward computation.
I1115 04:16:44.925062 14011 net.cpp:341] inception_3a/relu_5x5 needs backward computation.
I1115 04:16:44.925065 14011 net.cpp:341] inception_3a/5x5 needs backward computation.
I1115 04:16:44.925070 14011 net.cpp:341] inception_3a/relu_5x5_reduce needs backward computation.
I1115 04:16:44.925072 14011 net.cpp:341] inception_3a/5x5_reduce needs backward computation.
I1115 04:16:44.925076 14011 net.cpp:341] inception_3a/relu_3x3 needs backward computation.
I1115 04:16:44.925079 14011 net.cpp:341] inception_3a/3x3 needs backward computation.
I1115 04:16:44.925082 14011 net.cpp:341] inception_3a/relu_3x3_reduce needs backward computation.
I1115 04:16:44.925086 14011 net.cpp:341] inception_3a/3x3_reduce needs backward computation.
I1115 04:16:44.925089 14011 net.cpp:341] inception_3a/relu_1x1 needs backward computation.
I1115 04:16:44.925092 14011 net.cpp:341] inception_3a/1x1 needs backward computation.
I1115 04:16:44.925104 14011 net.cpp:341] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I1115 04:16:44.925108 14011 net.cpp:341] pool2/3x3_s2 needs backward computation.
I1115 04:16:44.925112 14011 net.cpp:341] conv2/norm2 needs backward computation.
I1115 04:16:44.925115 14011 net.cpp:341] conv2/relu_3x3 needs backward computation.
I1115 04:16:44.925119 14011 net.cpp:341] conv2/3x3 needs backward computation.
I1115 04:16:44.925124 14011 net.cpp:341] conv2/relu_3x3_reduce needs backward computation.
I1115 04:16:44.925127 14011 net.cpp:341] conv2/3x3_reduce needs backward computation.
I1115 04:16:44.925132 14011 net.cpp:341] pool1/norm1 needs backward computation.
I1115 04:16:44.925134 14011 net.cpp:341] pool1/3x3_s2 needs backward computation.
I1115 04:16:44.925138 14011 net.cpp:341] conv1/relu_7x7 needs backward computation.
I1115 04:16:44.925141 14011 net.cpp:341] conv1/7x7_s2 needs backward computation.
I1115 04:16:44.925145 14011 net.cpp:343] bb-obj-norm does not need backward computation.
I1115 04:16:44.925149 14011 net.cpp:343] bb-label-norm does not need backward computation.
I1115 04:16:44.925154 14011 net.cpp:343] obj-block_obj-block_0_split does not need backward computation.
I1115 04:16:44.925158 14011 net.cpp:343] obj-block does not need backward computation.
I1115 04:16:44.925165 14011 net.cpp:343] size-block_size-block_0_split does not need backward computation.
I1115 04:16:44.925169 14011 net.cpp:343] size-block does not need backward computation.
I1115 04:16:44.925174 14011 net.cpp:343] coverage-block does not need backward computation.
I1115 04:16:44.925182 14011 net.cpp:343] obj-label_slice-label_3_split does not need backward computation.
I1115 04:16:44.925187 14011 net.cpp:343] size-label_slice-label_2_split does not need backward computation.
I1115 04:16:44.925192 14011 net.cpp:343] foreground-label_slice-label_0_split does not need backward computation.
I1115 04:16:44.925197 14011 net.cpp:343] slice-label does not need backward computation.
I1115 04:16:44.925201 14011 net.cpp:343] train_transform does not need backward computation.
I1115 04:16:44.925205 14011 net.cpp:343] train_label does not need backward computation.
I1115 04:16:44.925209 14011 net.cpp:343] train_data does not need backward computation.
I1115 04:16:44.925212 14011 net.cpp:385] This network produces output loss_bbox
I1115 04:16:44.925216 14011 net.cpp:385] This network produces output loss_coverage
I1115 04:16:44.925320 14011 net.cpp:408] Top memory (TRAIN) required for data: 2549161232 diff: 2549161232
I1115 04:16:44.925328 14011 net.cpp:411] Bottom memory (TRAIN) required for data: 2549161216 diff: 2549161216
I1115 04:16:44.925330 14011 net.cpp:414] Shared (in-place) memory (TRAIN) by data: 544407552 diff: 544407552
I1115 04:16:44.925333 14011 net.cpp:417] Parameters memory (TRAIN) required for data: 23914712 diff: 23914712
I1115 04:16:44.925336 14011 net.cpp:420] Parameters shared memory (TRAIN) by data: 0 diff: 0
I1115 04:16:44.925340 14011 net.cpp:426] Network initialization done.
I1115 04:16:44.927713 14011 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:16:44.927858 14011 net.cpp:462] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_data
I1115 04:16:44.927865 14011 net.cpp:462] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_label
I1115 04:16:44.927870 14011 net.cpp:462] The NetState phase (1) differed from the phase (0) specified by a rule in layer train_transform
I1115 04:16:44.928022 14011 net.cpp:86] Initializing net from parameters:
state {
phase: TEST
}
layer {
name: "val_data"
type: "Data"
top: "data"
include {
phase: TEST
}
transform_param {
mean_file: "/workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto"
}
data_param {
source: "/workspace/jobs/20191115-032633-9cab/val_db/features"
batch_size: 4
backend: LMDB
}
}
layer {
name: "val_label"
type: "Data"
top: "label"
include {
phase: TEST
}
data_param {
source: "/workspace/jobs/20191115-032633-9cab/val_db/labels"
batch_size: 4
backend: LMDB
}
}
layer {
name: "val_transform"
type: "DetectNetTransformation"
bottom: "data"
bottom: "label"
top: "transformed_data"
top: "transformed_label"
include {
phase: TEST
}
transform_param {
mean_value: 127
}
detectnet_groundtruth_param {
stride: 16
scale_cvg: 0.4
gridbox_type: GRIDBOX_MIN
min_cvg_len: 20
coverage_type: RECTANGULAR
image_size_x: 1248
image_size_y: 384
obj_norm: true
crop_bboxes: false
object_class {
src: 1
dst: 0
}
}
}
layer {
name: "slice-label"
type: "Slice"
bottom: "transformed_label"
top: "foreground-label"
top: "bbox-label"
top: "size-label"
top: "obj-label"
top: "coverage-label"
slice_param {
slice_dim: 1
slice_point: 1
slice_point: 5
slice_point: 7
slice_point: 8
}
}
layer {
name: "coverage-block"
type: "Concat"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
bottom: "foreground-label"
top: "coverage-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "size-block"
type: "Concat"
bottom: "size-label"
bottom: "size-label"
top: "size-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "obj-block"
type: "Concat"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
bottom: "obj-label"
top: "obj-block"
concat_param {
concat_dim: 1
}
}
layer {
name: "bb-label-norm"
type: "Eltwise"
bottom: "bbox-label"
bottom: "size-block"
top: "bbox-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "bb-obj-norm"
type: "Eltwise"
bottom: "bbox-label-norm"
bottom: "obj-block"
top: "bbox-obj-label-norm"
eltwise_param {
operation: PROD
}
}
layer {
name: "conv1/7x7_s2"
type: "Convolution"
bottom: "transformed_data"
top: "conv1/7x7_s2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv1/relu_7x7"
type: "ReLU"
bottom: "conv1/7x7_s2"
top: "conv1/7x7_s2"
}
layer {
name: "pool1/3x3_s2"
type: "Pooling"
bottom: "conv1/7x7_s2"
top: "pool1/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "pool1/norm1"
type: "LRN"
bottom: "pool1/3x3_s2"
top: "pool1/norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2/3x3_reduce"
type: "Convolution"
bottom: "pool1/norm1"
top: "conv2/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3_reduce"
type: "ReLU"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3_reduce"
}
layer {
name: "conv2/3x3"
type: "Convolution"
bottom: "conv2/3x3_reduce"
top: "conv2/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "conv2/relu_3x3"
type: "ReLU"
bottom: "conv2/3x3"
top: "conv2/3x3"
}
layer {
name: "conv2/norm2"
type: "LRN"
bottom: "conv2/3x3"
top: "conv2/norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "pool2/3x3_s2"
type: "Pooling"
bottom: "conv2/norm2"
top: "pool2/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_3a/1x1"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_1x1"
type: "ReLU"
bottom: "inception_3a/1x1"
top: "inception_3a/1x1"
}
layer {
name: "inception_3a/3x3_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3_reduce"
}
layer {
name: "inception_3a/3x3"
type: "Convolution"
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_3x3"
type: "ReLU"
bottom: "inception_3a/3x3"
top: "inception_3a/3x3"
}
layer {
name: "inception_3a/5x5_reduce"
type: "Convolution"
bottom: "pool2/3x3_s2"
top: "inception_3a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5_reduce"
}
layer {
name: "inception_3a/5x5"
type: "Convolution"
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_5x5"
type: "ReLU"
bottom: "inception_3a/5x5"
top: "inception_3a/5x5"
}
layer {
name: "inception_3a/pool"
type: "Pooling"
bottom: "pool2/3x3_s2"
top: "inception_3a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3a/pool_proj"
type: "Convolution"
bottom: "inception_3a/pool"
top: "inception_3a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3a/relu_pool_proj"
type: "ReLU"
bottom: "inception_3a/pool_proj"
top: "inception_3a/pool_proj"
}
layer {
name: "inception_3a/output"
type: "Concat"
bottom: "inception_3a/1x1"
bottom: "inception_3a/3x3"
bottom: "inception_3a/5x5"
bottom: "inception_3a/pool_proj"
top: "inception_3a/output"
}
layer {
name: "inception_3b/1x1"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_1x1"
type: "ReLU"
bottom: "inception_3b/1x1"
top: "inception_3b/1x1"
}
layer {
name: "inception_3b/3x3_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3_reduce"
}
layer {
name: "inception_3b/3x3"
type: "Convolution"
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_3x3"
type: "ReLU"
bottom: "inception_3b/3x3"
top: "inception_3b/3x3"
}
layer {
name: "inception_3b/5x5_reduce"
type: "Convolution"
bottom: "inception_3a/output"
top: "inception_3b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5_reduce"
}
layer {
name: "inception_3b/5x5"
type: "Convolution"
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_5x5"
type: "ReLU"
bottom: "inception_3b/5x5"
top: "inception_3b/5x5"
}
layer {
name: "inception_3b/pool"
type: "Pooling"
bottom: "inception_3a/output"
top: "inception_3b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_3b/pool_proj"
type: "Convolution"
bottom: "inception_3b/pool"
top: "inception_3b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_3b/relu_pool_proj"
type: "ReLU"
bottom: "inception_3b/pool_proj"
top: "inception_3b/pool_proj"
}
layer {
name: "inception_3b/output"
type: "Concat"
bottom: "inception_3b/1x1"
bottom: "inception_3b/3x3"
bottom: "inception_3b/5x5"
bottom: "inception_3b/pool_proj"
top: "inception_3b/output"
}
layer {
name: "pool3/3x3_s2"
type: "Pooling"
bottom: "inception_3b/output"
top: "pool3/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "inception_4a/1x1"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_1x1"
type: "ReLU"
bottom: "inception_4a/1x1"
top: "inception_4a/1x1"
}
layer {
name: "inception_4a/3x3_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3_reduce"
}
layer {
name: "inception_4a/3x3"
type: "Convolution"
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 208
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_3x3"
type: "ReLU"
bottom: "inception_4a/3x3"
top: "inception_4a/3x3"
}
layer {
name: "inception_4a/5x5_reduce"
type: "Convolution"
bottom: "pool3/3x3_s2"
top: "inception_4a/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5_reduce"
}
layer {
name: "inception_4a/5x5"
type: "Convolution"
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 48
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_5x5"
type: "ReLU"
bottom: "inception_4a/5x5"
top: "inception_4a/5x5"
}
layer {
name: "inception_4a/pool"
type: "Pooling"
bottom: "pool3/3x3_s2"
top: "inception_4a/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4a/pool_proj"
type: "Convolution"
bottom: "inception_4a/pool"
top: "inception_4a/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4a/relu_pool_proj"
type: "ReLU"
bottom: "inception_4a/pool_proj"
top: "inception_4a/pool_proj"
}
layer {
name: "inception_4a/output"
type: "Concat"
bottom: "inception_4a/1x1"
bottom: "inception_4a/3x3"
bottom: "inception_4a/5x5"
bottom: "inception_4a/pool_proj"
top: "inception_4a/output"
}
layer {
name: "inception_4b/1x1"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_1x1"
type: "ReLU"
bottom: "inception_4b/1x1"
top: "inception_4b/1x1"
}
layer {
name: "inception_4b/3x3_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3_reduce"
}
layer {
name: "inception_4b/3x3"
type: "Convolution"
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 224
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_3x3"
type: "ReLU"
bottom: "inception_4b/3x3"
top: "inception_4b/3x3"
}
layer {
name: "inception_4b/5x5_reduce"
type: "Convolution"
bottom: "inception_4a/output"
top: "inception_4b/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5_reduce"
}
layer {
name: "inception_4b/5x5"
type: "Convolution"
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_5x5"
type: "ReLU"
bottom: "inception_4b/5x5"
top: "inception_4b/5x5"
}
layer {
name: "inception_4b/pool"
type: "Pooling"
bottom: "inception_4a/output"
top: "inception_4b/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4b/pool_proj"
type: "Convolution"
bottom: "inception_4b/pool"
top: "inception_4b/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4b/relu_pool_proj"
type: "ReLU"
bottom: "inception_4b/pool_proj"
top: "inception_4b/pool_proj"
}
layer {
name: "inception_4b/output"
type: "Concat"
bottom: "inception_4b/1x1"
bottom: "inception_4b/3x3"
bottom: "inception_4b/5x5"
bottom: "inception_4b/pool_proj"
top: "inception_4b/output"
}
layer {
name: "inception_4c/1x1"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_1x1"
type: "ReLU"
bottom: "inception_4c/1x1"
top: "inception_4c/1x1"
}
layer {
name: "inception_4c/3x3_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3_reduce"
}
layer {
name: "inception_4c/3x3"
type: "Convolution"
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_3x3"
type: "ReLU"
bottom: "inception_4c/3x3"
top: "inception_4c/3x3"
}
layer {
name: "inception_4c/5x5_reduce"
type: "Convolution"
bottom: "inception_4b/output"
top: "inception_4c/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5_reduce"
}
layer {
name: "inception_4c/5x5"
type: "Convolution"
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_5x5"
type: "ReLU"
bottom: "inception_4c/5x5"
top: "inception_4c/5x5"
}
layer {
name: "inception_4c/pool"
type: "Pooling"
bottom: "inception_4b/output"
top: "inception_4c/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4c/pool_proj"
type: "Convolution"
bottom: "inception_4c/pool"
top: "inception_4c/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4c/relu_pool_proj"
type: "ReLU"
bottom: "inception_4c/pool_proj"
top: "inception_4c/pool_proj"
}
layer {
name: "inception_4c/output"
type: "Concat"
bottom: "inception_4c/1x1"
bottom: "inception_4c/3x3"
bottom: "inception_4c/5x5"
bottom: "inception_4c/pool_proj"
top: "inception_4c/output"
}
layer {
name: "inception_4d/1x1"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_1x1"
type: "ReLU"
bottom: "inception_4d/1x1"
top: "inception_4d/1x1"
}
layer {
name: "inception_4d/3x3_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 144
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3_reduce"
}
layer {
name: "inception_4d/3x3"
type: "Convolution"
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 288
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_3x3"
type: "ReLU"
bottom: "inception_4d/3x3"
top: "inception_4d/3x3"
}
layer {
name: "inception_4d/5x5_reduce"
type: "Convolution"
bottom: "inception_4c/output"
top: "inception_4d/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5_reduce"
}
layer {
name: "inception_4d/5x5"
type: "Convolution"
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_5x5"
type: "ReLU"
bottom: "inception_4d/5x5"
top: "inception_4d/5x5"
}
layer {
name: "inception_4d/pool"
type: "Pooling"
bottom: "inception_4c/output"
top: "inception_4d/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4d/pool_proj"
type: "Convolution"
bottom: "inception_4d/pool"
top: "inception_4d/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4d/relu_pool_proj"
type: "ReLU"
bottom: "inception_4d/pool_proj"
top: "inception_4d/pool_proj"
}
layer {
name: "inception_4d/output"
type: "Concat"
bottom: "inception_4d/1x1"
bottom: "inception_4d/3x3"
bottom: "inception_4d/5x5"
bottom: "inception_4d/pool_proj"
top: "inception_4d/output"
}
layer {
name: "inception_4e/1x1"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/1x1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_1x1"
type: "ReLU"
bottom: "inception_4e/1x1"
top: "inception_4e/1x1"
}
layer {
name: "inception_4e/3x3_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/3x3_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3_reduce"
type: "ReLU"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3_reduce"
}
layer {
name: "inception_4e/3x3"
type: "Convolution"
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 320
pad: 1
kernel_size: 3
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_3x3"
type: "ReLU"
bottom: "inception_4e/3x3"
top: "inception_4e/3x3"
}
layer {
name: "inception_4e/5x5_reduce"
type: "Convolution"
bottom: "inception_4d/output"
top: "inception_4e/5x5_reduce"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5_reduce"
type: "ReLU"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5_reduce"
}
layer {
name: "inception_4e/5x5"
type: "Convolution"
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 2
kernel_size: 5
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_5x5"
type: "ReLU"
bottom: "inception_4e/5x5"
top: "inception_4e/5x5"
}
layer {
name: "inception_4e/pool"
type: "Pooling"
bottom: "inception_4d/output"
top: "inception_4e/pool"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "inception_4e/pool_proj"
type: "Convolution"
bottom: "inception_4e/pool"
top: "inception_4e/pool_proj"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "inception_4e/relu_pool_proj"
type: "ReLU"
bottom: "inception_4e/pool_proj"
top: "inception_4e/pool_proj"
}
layer {
name: "inception_4e/output"
type: "Concat"
bottom: "inception_4e/1x1"
bottom: "inception_4e/3x3"
bottom: "inception_4e/5x5"
bottom: "inception_4e/pool_proj"
top: "inception_4e/output"
}
layer {
name: "inception_5a/1x1"
type: "Convolution
I1115 04:16:44.929287 14011 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:44.929297 14011 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:44.929301 14011 layer_factory.hpp:172] Creating layer 'val_data' of type 'Data'
I1115 04:16:44.929306 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:44.929323 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:44.929404 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:44.932176 14090 internal_thread.cpp:78] Started internal thread 14090 on device 0, rank 0
I1115 04:16:44.932188 14090 batch_transformer.cpp:51] Started BatchTransformer thread 14090
I1115 04:16:44.968961 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:45.002584 14011 net.cpp:205] Created Layer val_data (0)
I1115 04:16:45.002596 14011 net.cpp:547] val_data -> data
I1115 04:16:45.002610 14011 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:45.002620 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:45.004441 14091 internal_thread.cpp:78] Started internal thread 14091 on device 0, rank 0
I1115 04:16:45.004474 14091 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:16:45.016039 14011 data_layer.cpp:199] (n0.d0.r0) Output data size: 4, 3, 384, 1248
I1115 04:16:45.016062 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:45.050058 14011 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:16:45.084225 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:45.084324 14011 net.cpp:265] Setting up val_data
I1115 04:16:45.084333 14011 net.cpp:272] TEST Top shape for layer 0 'val_data' 4 3 384 1248 (5750784)
I1115 04:16:45.084348 14011 layer_factory.hpp:172] Creating layer 'val_label' of type 'Data'
I1115 04:16:45.084354 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.084380 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:45.085932 14092 internal_thread.cpp:78] Started internal thread 14092 on device 0, rank 0
I1115 04:16:45.085944 14092 data_layer.cpp:105] (n0.d0.r0) Parser threads: 1
I1115 04:16:45.085958 14092 data_layer.cpp:107] (n0.d0.r0) Transformer threads: 1
I1115 04:16:45.086010 14011 net.cpp:205] Created Layer val_label (1)
I1115 04:16:45.087692 14093 internal_thread.cpp:78] Started internal thread 14093 on device 0, rank 0
I1115 04:16:45.087704 14093 batch_transformer.cpp:51] Started BatchTransformer thread 14093
I1115 04:16:45.087715 14011 net.cpp:547] val_label -> label
I1115 04:16:45.087736 14011 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:45.087745 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:45.089496 14094 internal_thread.cpp:78] Started internal thread 14094 on device 0, rank 0
I1115 04:16:45.108666 14094 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:16:45.108979 14011 data_layer.cpp:199] (n0.d0.r0) Output data size: 4, 1, 19, 16
I1115 04:16:45.109050 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:45.109339 14011 net.cpp:265] Setting up val_label
I1115 04:16:45.109364 14011 net.cpp:272] TEST Top shape for layer 1 'val_label' 4 1 19 16 (1216)
I1115 04:16:45.109372 14011 layer_factory.hpp:172] Creating layer 'val_transform' of type 'DetectNetTransformation'
I1115 04:16:45.109377 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.110857 14095 internal_thread.cpp:78] Started internal thread 14095 on device 0, rank 0
I1115 04:16:45.110869 14095 data_layer.cpp:105] (n0.d0.r0) Parser threads: 1
I1115 04:16:45.110879 14095 data_layer.cpp:107] (n0.d0.r0) Transformer threads: 1
I1115 04:16:45.110882 14011 net.cpp:205] Created Layer val_transform (2)
I1115 04:16:45.110895 14011 net.cpp:577] val_transform <- data
I1115 04:16:45.110901 14011 net.cpp:577] val_transform <- label
I1115 04:16:45.110906 14011 net.cpp:547] val_transform -> transformed_data
I1115 04:16:45.110913 14011 net.cpp:547] val_transform -> transformed_label
I1115 04:16:45.112262 14011 net.cpp:265] Setting up val_transform
I1115 04:16:45.112272 14011 net.cpp:272] TEST Top shape for layer 2 'val_transform' 4 3 384 1248 (5750784)
I1115 04:16:45.112278 14011 net.cpp:272] TEST Top shape for layer 2 'val_transform' 4 9 24 78 (67392)
I1115 04:16:45.112284 14011 layer_factory.hpp:172] Creating layer 'slice-label' of type 'Slice'
I1115 04:16:45.112289 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.112298 14011 net.cpp:205] Created Layer slice-label (3)
I1115 04:16:45.112301 14011 net.cpp:577] slice-label <- transformed_label
I1115 04:16:45.112306 14011 net.cpp:547] slice-label -> foreground-label
I1115 04:16:45.112313 14011 net.cpp:547] slice-label -> bbox-label
I1115 04:16:45.112316 14011 net.cpp:547] slice-label -> size-label
I1115 04:16:45.112321 14011 net.cpp:547] slice-label -> obj-label
I1115 04:16:45.112325 14011 net.cpp:547] slice-label -> coverage-label
I1115 04:16:45.112565 14011 net.cpp:265] Setting up slice-label
I1115 04:16:45.112572 14011 net.cpp:272] TEST Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:45.112578 14011 net.cpp:272] TEST Top shape for layer 3 'slice-label' 4 4 24 78 (29952)
I1115 04:16:45.112583 14011 net.cpp:272] TEST Top shape for layer 3 'slice-label' 4 2 24 78 (14976)
I1115 04:16:45.112588 14011 net.cpp:272] TEST Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:45.112593 14011 net.cpp:272] TEST Top shape for layer 3 'slice-label' 4 1 24 78 (7488)
I1115 04:16:45.112598 14011 layer_factory.hpp:172] Creating layer 'foreground-label_slice-label_0_split' of type 'Split'
I1115 04:16:45.112603 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.112612 14011 net.cpp:205] Created Layer foreground-label_slice-label_0_split (4)
I1115 04:16:45.112617 14011 net.cpp:577] foreground-label_slice-label_0_split <- foreground-label
I1115 04:16:45.112622 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_0
I1115 04:16:45.112627 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_1
I1115 04:16:45.112632 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_2
I1115 04:16:45.112637 14011 net.cpp:547] foreground-label_slice-label_0_split -> foreground-label_slice-label_0_split_3
I1115 04:16:45.112684 14011 net.cpp:265] Setting up foreground-label_slice-label_0_split
I1115 04:16:45.112689 14011 net.cpp:272] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:45.112695 14011 net.cpp:272] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:45.112769 14011 net.cpp:272] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:45.112777 14011 net.cpp:272] TEST Top shape for layer 4 'foreground-label_slice-label_0_split' 4 1 24 78 (7488)
I1115 04:16:45.112782 14011 layer_factory.hpp:172] Creating layer 'bbox-label_slice-label_1_split' of type 'Split'
I1115 04:16:45.112787 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.112793 14011 net.cpp:205] Created Layer bbox-label_slice-label_1_split (5)
I1115 04:16:45.112797 14011 net.cpp:577] bbox-label_slice-label_1_split <- bbox-label
I1115 04:16:45.112802 14011 net.cpp:547] bbox-label_slice-label_1_split -> bbox-label_slice-label_1_split_0
I1115 04:16:45.112808 14011 net.cpp:547] bbox-label_slice-label_1_split -> bbox-label_slice-label_1_split_1
I1115 04:16:45.112840 14011 net.cpp:265] Setting up bbox-label_slice-label_1_split
I1115 04:16:45.112845 14011 net.cpp:272] TEST Top shape for layer 5 'bbox-label_slice-label_1_split' 4 4 24 78 (29952)
I1115 04:16:45.112850 14011 net.cpp:272] TEST Top shape for layer 5 'bbox-label_slice-label_1_split' 4 4 24 78 (29952)
I1115 04:16:45.112856 14011 layer_factory.hpp:172] Creating layer 'size-label_slice-label_2_split' of type 'Split'
I1115 04:16:45.112860 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.112865 14011 net.cpp:205] Created Layer size-label_slice-label_2_split (6)
I1115 04:16:45.112870 14011 net.cpp:577] size-label_slice-label_2_split <- size-label
I1115 04:16:45.112874 14011 net.cpp:547] size-label_slice-label_2_split -> size-label_slice-label_2_split_0
I1115 04:16:45.112879 14011 net.cpp:547] size-label_slice-label_2_split -> size-label_slice-label_2_split_1
I1115 04:16:45.112907 14011 net.cpp:265] Setting up size-label_slice-label_2_split
I1115 04:16:45.112911 14011 net.cpp:272] TEST Top shape for layer 6 'size-label_slice-label_2_split' 4 2 24 78 (14976)
I1115 04:16:45.112916 14011 net.cpp:272] TEST Top shape for layer 6 'size-label_slice-label_2_split' 4 2 24 78 (14976)
I1115 04:16:45.112922 14011 layer_factory.hpp:172] Creating layer 'obj-label_slice-label_3_split' of type 'Split'
I1115 04:16:45.112926 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.112932 14011 net.cpp:205] Created Layer obj-label_slice-label_3_split (7)
I1115 04:16:45.112936 14011 net.cpp:577] obj-label_slice-label_3_split <- obj-label
I1115 04:16:45.112941 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_0
I1115 04:16:45.112944 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_1
I1115 04:16:45.112949 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_2
I1115 04:16:45.112954 14011 net.cpp:547] obj-label_slice-label_3_split -> obj-label_slice-label_3_split_3
I1115 04:16:45.112998 14011 net.cpp:265] Setting up obj-label_slice-label_3_split
I1115 04:16:45.113003 14011 net.cpp:272] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:45.113008 14011 net.cpp:272] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:45.113029 14011 net.cpp:272] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:45.113034 14011 net.cpp:272] TEST Top shape for layer 7 'obj-label_slice-label_3_split' 4 1 24 78 (7488)
I1115 04:16:45.113039 14011 layer_factory.hpp:172] Creating layer 'coverage-label_slice-label_4_split' of type 'Split'
I1115 04:16:45.113042 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113049 14011 net.cpp:205] Created Layer coverage-label_slice-label_4_split (8)
I1115 04:16:45.113052 14011 net.cpp:577] coverage-label_slice-label_4_split <- coverage-label
I1115 04:16:45.113056 14011 net.cpp:547] coverage-label_slice-label_4_split -> coverage-label_slice-label_4_split_0
I1115 04:16:45.113062 14011 net.cpp:547] coverage-label_slice-label_4_split -> coverage-label_slice-label_4_split_1
I1115 04:16:45.113106 14011 net.cpp:265] Setting up coverage-label_slice-label_4_split
I1115 04:16:45.113111 14011 net.cpp:272] TEST Top shape for layer 8 'coverage-label_slice-label_4_split' 4 1 24 78 (7488)
I1115 04:16:45.113117 14011 net.cpp:272] TEST Top shape for layer 8 'coverage-label_slice-label_4_split' 4 1 24 78 (7488)
I1115 04:16:45.113122 14011 layer_factory.hpp:172] Creating layer 'coverage-block' of type 'Concat'
I1115 04:16:45.113126 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113134 14011 net.cpp:205] Created Layer coverage-block (9)
I1115 04:16:45.113138 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_0
I1115 04:16:45.113143 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_1
I1115 04:16:45.113147 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_2
I1115 04:16:45.113150 14011 net.cpp:577] coverage-block <- foreground-label_slice-label_0_split_3
I1115 04:16:45.113154 14011 net.cpp:547] coverage-block -> coverage-block
I1115 04:16:45.113173 14011 net.cpp:265] Setting up coverage-block
I1115 04:16:45.113178 14011 net.cpp:272] TEST Top shape for layer 9 'coverage-block' 4 4 24 78 (29952)
I1115 04:16:45.113183 14011 layer_factory.hpp:172] Creating layer 'size-block' of type 'Concat'
I1115 04:16:45.113186 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113193 14011 net.cpp:205] Created Layer size-block (10)
I1115 04:16:45.113195 14011 net.cpp:577] size-block <- size-label_slice-label_2_split_0
I1115 04:16:45.113200 14011 net.cpp:577] size-block <- size-label_slice-label_2_split_1
I1115 04:16:45.113204 14011 net.cpp:547] size-block -> size-block
I1115 04:16:45.113219 14011 net.cpp:265] Setting up size-block
I1115 04:16:45.113224 14011 net.cpp:272] TEST Top shape for layer 10 'size-block' 4 4 24 78 (29952)
I1115 04:16:45.113229 14011 layer_factory.hpp:172] Creating layer 'size-block_size-block_0_split' of type 'Split'
I1115 04:16:45.113234 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113238 14011 net.cpp:205] Created Layer size-block_size-block_0_split (11)
I1115 04:16:45.113242 14011 net.cpp:577] size-block_size-block_0_split <- size-block
I1115 04:16:45.113246 14011 net.cpp:547] size-block_size-block_0_split -> size-block_size-block_0_split_0
I1115 04:16:45.113251 14011 net.cpp:547] size-block_size-block_0_split -> size-block_size-block_0_split_1
I1115 04:16:45.113276 14011 net.cpp:265] Setting up size-block_size-block_0_split
I1115 04:16:45.113279 14011 net.cpp:272] TEST Top shape for layer 11 'size-block_size-block_0_split' 4 4 24 78 (29952)
I1115 04:16:45.113284 14011 net.cpp:272] TEST Top shape for layer 11 'size-block_size-block_0_split' 4 4 24 78 (29952)
I1115 04:16:45.113289 14011 layer_factory.hpp:172] Creating layer 'obj-block' of type 'Concat'
I1115 04:16:45.113293 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113299 14011 net.cpp:205] Created Layer obj-block (12)
I1115 04:16:45.113303 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_0
I1115 04:16:45.113307 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_1
I1115 04:16:45.113312 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_2
I1115 04:16:45.113315 14011 net.cpp:577] obj-block <- obj-label_slice-label_3_split_3
I1115 04:16:45.113319 14011 net.cpp:547] obj-block -> obj-block
I1115 04:16:45.113334 14011 net.cpp:265] Setting up obj-block
I1115 04:16:45.113338 14011 net.cpp:272] TEST Top shape for layer 12 'obj-block' 4 4 24 78 (29952)
I1115 04:16:45.113343 14011 layer_factory.hpp:172] Creating layer 'obj-block_obj-block_0_split' of type 'Split'
I1115 04:16:45.113348 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113354 14011 net.cpp:205] Created Layer obj-block_obj-block_0_split (13)
I1115 04:16:45.113369 14011 net.cpp:577] obj-block_obj-block_0_split <- obj-block
I1115 04:16:45.113374 14011 net.cpp:547] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_0
I1115 04:16:45.113379 14011 net.cpp:547] obj-block_obj-block_0_split -> obj-block_obj-block_0_split_1
I1115 04:16:45.113406 14011 net.cpp:265] Setting up obj-block_obj-block_0_split
I1115 04:16:45.113410 14011 net.cpp:272] TEST Top shape for layer 13 'obj-block_obj-block_0_split' 4 4 24 78 (29952)
I1115 04:16:45.113416 14011 net.cpp:272] TEST Top shape for layer 13 'obj-block_obj-block_0_split' 4 4 24 78 (29952)
I1115 04:16:45.113421 14011 layer_factory.hpp:172] Creating layer 'bb-label-norm' of type 'Eltwise'
I1115 04:16:45.113425 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113445 14011 net.cpp:205] Created Layer bb-label-norm (14)
I1115 04:16:45.113449 14011 net.cpp:577] bb-label-norm <- bbox-label_slice-label_1_split_0
I1115 04:16:45.113453 14011 net.cpp:577] bb-label-norm <- size-block_size-block_0_split_0
I1115 04:16:45.113457 14011 net.cpp:547] bb-label-norm -> bbox-label-norm
I1115 04:16:45.113477 14011 net.cpp:265] Setting up bb-label-norm
I1115 04:16:45.113482 14011 net.cpp:272] TEST Top shape for layer 14 'bb-label-norm' 4 4 24 78 (29952)
I1115 04:16:45.113487 14011 layer_factory.hpp:172] Creating layer 'bb-obj-norm' of type 'Eltwise'
I1115 04:16:45.113492 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113498 14011 net.cpp:205] Created Layer bb-obj-norm (15)
I1115 04:16:45.113502 14011 net.cpp:577] bb-obj-norm <- bbox-label-norm
I1115 04:16:45.113507 14011 net.cpp:577] bb-obj-norm <- obj-block_obj-block_0_split_0
I1115 04:16:45.113510 14011 net.cpp:547] bb-obj-norm -> bbox-obj-label-norm
I1115 04:16:45.113525 14011 net.cpp:265] Setting up bb-obj-norm
I1115 04:16:45.113529 14011 net.cpp:272] TEST Top shape for layer 15 'bb-obj-norm' 4 4 24 78 (29952)
I1115 04:16:45.113535 14011 layer_factory.hpp:172] Creating layer 'conv1/7x7_s2' of type 'Convolution'
I1115 04:16:45.113539 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.113554 14011 net.cpp:205] Created Layer conv1/7x7_s2 (16)
I1115 04:16:45.113557 14011 net.cpp:577] conv1/7x7_s2 <- transformed_data
I1115 04:16:45.113561 14011 net.cpp:547] conv1/7x7_s2 -> conv1/7x7_s2
I1115 04:16:45.114125 14011 net.cpp:265] Setting up conv1/7x7_s2
I1115 04:16:45.114135 14011 net.cpp:272] TEST Top shape for layer 16 'conv1/7x7_s2' 4 64 192 624 (30670848)
I1115 04:16:45.114147 14011 layer_factory.hpp:172] Creating layer 'conv1/relu_7x7' of type 'ReLU'
I1115 04:16:45.114152 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114159 14011 net.cpp:205] Created Layer conv1/relu_7x7 (17)
I1115 04:16:45.114163 14011 net.cpp:577] conv1/relu_7x7 <- conv1/7x7_s2
I1115 04:16:45.114167 14011 net.cpp:532] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I1115 04:16:45.114176 14011 net.cpp:265] Setting up conv1/relu_7x7
I1115 04:16:45.114178 14011 net.cpp:272] TEST Top shape for layer 17 'conv1/relu_7x7' 4 64 192 624 (30670848)
I1115 04:16:45.114184 14011 layer_factory.hpp:172] Creating layer 'pool1/3x3_s2' of type 'Pooling'
I1115 04:16:45.114187 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114195 14011 net.cpp:205] Created Layer pool1/3x3_s2 (18)
I1115 04:16:45.114198 14011 net.cpp:577] pool1/3x3_s2 <- conv1/7x7_s2
I1115 04:16:45.114203 14011 net.cpp:547] pool1/3x3_s2 -> pool1/3x3_s2
I1115 04:16:45.114253 14011 net.cpp:265] Setting up pool1/3x3_s2
I1115 04:16:45.114257 14011 net.cpp:272] TEST Top shape for layer 18 'pool1/3x3_s2' 4 64 96 312 (7667712)
I1115 04:16:45.114264 14011 layer_factory.hpp:172] Creating layer 'pool1/norm1' of type 'LRN'
I1115 04:16:45.114269 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114293 14011 net.cpp:205] Created Layer pool1/norm1 (19)
I1115 04:16:45.114298 14011 net.cpp:577] pool1/norm1 <- pool1/3x3_s2
I1115 04:16:45.114302 14011 net.cpp:547] pool1/norm1 -> pool1/norm1
I1115 04:16:45.114336 14011 net.cpp:265] Setting up pool1/norm1
I1115 04:16:45.114341 14011 net.cpp:272] TEST Top shape for layer 19 'pool1/norm1' 4 64 96 312 (7667712)
I1115 04:16:45.114346 14011 layer_factory.hpp:172] Creating layer 'conv2/3x3_reduce' of type 'Convolution'
I1115 04:16:45.114351 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114361 14011 net.cpp:205] Created Layer conv2/3x3_reduce (20)
I1115 04:16:45.114364 14011 net.cpp:577] conv2/3x3_reduce <- pool1/norm1
I1115 04:16:45.114369 14011 net.cpp:547] conv2/3x3_reduce -> conv2/3x3_reduce
I1115 04:16:45.114665 14011 net.cpp:265] Setting up conv2/3x3_reduce
I1115 04:16:45.114672 14011 net.cpp:272] TEST Top shape for layer 20 'conv2/3x3_reduce' 4 64 96 312 (7667712)
I1115 04:16:45.114682 14011 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.114686 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114692 14011 net.cpp:205] Created Layer conv2/relu_3x3_reduce (21)
I1115 04:16:45.114696 14011 net.cpp:577] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I1115 04:16:45.114701 14011 net.cpp:532] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I1115 04:16:45.114706 14011 net.cpp:265] Setting up conv2/relu_3x3_reduce
I1115 04:16:45.114709 14011 net.cpp:272] TEST Top shape for layer 21 'conv2/relu_3x3_reduce' 4 64 96 312 (7667712)
I1115 04:16:45.114715 14011 layer_factory.hpp:172] Creating layer 'conv2/3x3' of type 'Convolution'
I1115 04:16:45.114719 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.114728 14011 net.cpp:205] Created Layer conv2/3x3 (22)
I1115 04:16:45.114732 14011 net.cpp:577] conv2/3x3 <- conv2/3x3_reduce
I1115 04:16:45.114737 14011 net.cpp:547] conv2/3x3 -> conv2/3x3
I1115 04:16:45.116919 14011 net.cpp:265] Setting up conv2/3x3
I1115 04:16:45.116928 14011 net.cpp:272] TEST Top shape for layer 22 'conv2/3x3' 4 192 96 312 (23003136)
I1115 04:16:45.116938 14011 layer_factory.hpp:172] Creating layer 'conv2/relu_3x3' of type 'ReLU'
I1115 04:16:45.116942 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.116948 14011 net.cpp:205] Created Layer conv2/relu_3x3 (23)
I1115 04:16:45.116952 14011 net.cpp:577] conv2/relu_3x3 <- conv2/3x3
I1115 04:16:45.116957 14011 net.cpp:532] conv2/relu_3x3 -> conv2/3x3 (in-place)
I1115 04:16:45.116962 14011 net.cpp:265] Setting up conv2/relu_3x3
I1115 04:16:45.116966 14011 net.cpp:272] TEST Top shape for layer 23 'conv2/relu_3x3' 4 192 96 312 (23003136)
I1115 04:16:45.116971 14011 layer_factory.hpp:172] Creating layer 'conv2/norm2' of type 'LRN'
I1115 04:16:45.116976 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.116983 14011 net.cpp:205] Created Layer conv2/norm2 (24)
I1115 04:16:45.116987 14011 net.cpp:577] conv2/norm2 <- conv2/3x3
I1115 04:16:45.116991 14011 net.cpp:547] conv2/norm2 -> conv2/norm2
I1115 04:16:45.117023 14011 net.cpp:265] Setting up conv2/norm2
I1115 04:16:45.117028 14011 net.cpp:272] TEST Top shape for layer 24 'conv2/norm2' 4 192 96 312 (23003136)
I1115 04:16:45.117034 14011 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2' of type 'Pooling'
I1115 04:16:45.117055 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.117061 14011 net.cpp:205] Created Layer pool2/3x3_s2 (25)
I1115 04:16:45.117065 14011 net.cpp:577] pool2/3x3_s2 <- conv2/norm2
I1115 04:16:45.117069 14011 net.cpp:547] pool2/3x3_s2 -> pool2/3x3_s2
I1115 04:16:45.117108 14011 net.cpp:265] Setting up pool2/3x3_s2
I1115 04:16:45.117113 14011 net.cpp:272] TEST Top shape for layer 25 'pool2/3x3_s2' 4 192 48 156 (5750784)
I1115 04:16:45.117118 14011 layer_factory.hpp:172] Creating layer 'pool2/3x3_s2_pool2/3x3_s2_0_split' of type 'Split'
I1115 04:16:45.117137 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.117146 14011 net.cpp:205] Created Layer pool2/3x3_s2_pool2/3x3_s2_0_split (26)
I1115 04:16:45.117149 14011 net.cpp:577] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I1115 04:16:45.117154 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I1115 04:16:45.117159 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I1115 04:16:45.117163 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I1115 04:16:45.117168 14011 net.cpp:547] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I1115 04:16:45.117213 14011 net.cpp:265] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I1115 04:16:45.117218 14011 net.cpp:272] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:45.117224 14011 net.cpp:272] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:45.117228 14011 net.cpp:272] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:45.117233 14011 net.cpp:272] TEST Top shape for layer 26 'pool2/3x3_s2_pool2/3x3_s2_0_split' 4 192 48 156 (5750784)
I1115 04:16:45.117238 14011 layer_factory.hpp:172] Creating layer 'inception_3a/1x1' of type 'Convolution'
I1115 04:16:45.117242 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.117251 14011 net.cpp:205] Created Layer inception_3a/1x1 (27)
I1115 04:16:45.117255 14011 net.cpp:577] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I1115 04:16:45.117260 14011 net.cpp:547] inception_3a/1x1 -> inception_3a/1x1
I1115 04:16:45.117678 14011 net.cpp:265] Setting up inception_3a/1x1
I1115 04:16:45.117686 14011 net.cpp:272] TEST Top shape for layer 27 'inception_3a/1x1' 4 64 48 156 (1916928)
I1115 04:16:45.117696 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_1x1' of type 'ReLU'
I1115 04:16:45.117698 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.117704 14011 net.cpp:205] Created Layer inception_3a/relu_1x1 (28)
I1115 04:16:45.117709 14011 net.cpp:577] inception_3a/relu_1x1 <- inception_3a/1x1
I1115 04:16:45.117713 14011 net.cpp:532] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I1115 04:16:45.117718 14011 net.cpp:265] Setting up inception_3a/relu_1x1
I1115 04:16:45.117722 14011 net.cpp:272] TEST Top shape for layer 28 'inception_3a/relu_1x1' 4 64 48 156 (1916928)
I1115 04:16:45.117727 14011 layer_factory.hpp:172] Creating layer 'inception_3a/3x3_reduce' of type 'Convolution'
I1115 04:16:45.117731 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.117740 14011 net.cpp:205] Created Layer inception_3a/3x3_reduce (29)
I1115 04:16:45.117744 14011 net.cpp:577] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I1115 04:16:45.117749 14011 net.cpp:547] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I1115 04:16:45.118263 14011 net.cpp:265] Setting up inception_3a/3x3_reduce
I1115 04:16:45.118271 14011 net.cpp:272] TEST Top shape for layer 29 'inception_3a/3x3_reduce' 4 96 48 156 (2875392)
I1115 04:16:45.118281 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.118285 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.118291 14011 net.cpp:205] Created Layer inception_3a/relu_3x3_reduce (30)
I1115 04:16:45.118295 14011 net.cpp:577] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I1115 04:16:45.118301 14011 net.cpp:532] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I1115 04:16:45.118307 14011 net.cpp:265] Setting up inception_3a/relu_3x3_reduce
I1115 04:16:45.118324 14011 net.cpp:272] TEST Top shape for layer 30 'inception_3a/relu_3x3_reduce' 4 96 48 156 (2875392)
I1115 04:16:45.118330 14011 layer_factory.hpp:172] Creating layer 'inception_3a/3x3' of type 'Convolution'
I1115 04:16:45.118335 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.118345 14011 net.cpp:205] Created Layer inception_3a/3x3 (31)
I1115 04:16:45.118348 14011 net.cpp:577] inception_3a/3x3 <- inception_3a/3x3_reduce
I1115 04:16:45.118352 14011 net.cpp:547] inception_3a/3x3 -> inception_3a/3x3
I1115 04:16:45.121850 14011 net.cpp:265] Setting up inception_3a/3x3
I1115 04:16:45.121860 14011 net.cpp:272] TEST Top shape for layer 31 'inception_3a/3x3' 4 128 48 156 (3833856)
I1115 04:16:45.121870 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_3x3' of type 'ReLU'
I1115 04:16:45.121875 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.121882 14011 net.cpp:205] Created Layer inception_3a/relu_3x3 (32)
I1115 04:16:45.121886 14011 net.cpp:577] inception_3a/relu_3x3 <- inception_3a/3x3
I1115 04:16:45.121891 14011 net.cpp:532] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I1115 04:16:45.121897 14011 net.cpp:265] Setting up inception_3a/relu_3x3
I1115 04:16:45.121901 14011 net.cpp:272] TEST Top shape for layer 32 'inception_3a/relu_3x3' 4 128 48 156 (3833856)
I1115 04:16:45.121906 14011 layer_factory.hpp:172] Creating layer 'inception_3a/5x5_reduce' of type 'Convolution'
I1115 04:16:45.121909 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.121919 14011 net.cpp:205] Created Layer inception_3a/5x5_reduce (33)
I1115 04:16:45.121923 14011 net.cpp:577] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I1115 04:16:45.121928 14011 net.cpp:547] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I1115 04:16:45.122202 14011 net.cpp:265] Setting up inception_3a/5x5_reduce
I1115 04:16:45.122210 14011 net.cpp:272] TEST Top shape for layer 33 'inception_3a/5x5_reduce' 4 16 48 156 (479232)
I1115 04:16:45.122218 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.122222 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.122228 14011 net.cpp:205] Created Layer inception_3a/relu_5x5_reduce (34)
I1115 04:16:45.122232 14011 net.cpp:577] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I1115 04:16:45.122237 14011 net.cpp:532] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I1115 04:16:45.122242 14011 net.cpp:265] Setting up inception_3a/relu_5x5_reduce
I1115 04:16:45.122246 14011 net.cpp:272] TEST Top shape for layer 34 'inception_3a/relu_5x5_reduce' 4 16 48 156 (479232)
I1115 04:16:45.122251 14011 layer_factory.hpp:172] Creating layer 'inception_3a/5x5' of type 'Convolution'
I1115 04:16:45.122254 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.122263 14011 net.cpp:205] Created Layer inception_3a/5x5 (35)
I1115 04:16:45.122267 14011 net.cpp:577] inception_3a/5x5 <- inception_3a/5x5_reduce
I1115 04:16:45.122272 14011 net.cpp:547] inception_3a/5x5 -> inception_3a/5x5
I1115 04:16:45.122681 14011 net.cpp:265] Setting up inception_3a/5x5
I1115 04:16:45.122689 14011 net.cpp:272] TEST Top shape for layer 35 'inception_3a/5x5' 4 32 48 156 (958464)
I1115 04:16:45.122697 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_5x5' of type 'ReLU'
I1115 04:16:45.122701 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.122707 14011 net.cpp:205] Created Layer inception_3a/relu_5x5 (36)
I1115 04:16:45.122714 14011 net.cpp:577] inception_3a/relu_5x5 <- inception_3a/5x5
I1115 04:16:45.122718 14011 net.cpp:532] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I1115 04:16:45.122723 14011 net.cpp:265] Setting up inception_3a/relu_5x5
I1115 04:16:45.122726 14011 net.cpp:272] TEST Top shape for layer 36 'inception_3a/relu_5x5' 4 32 48 156 (958464)
I1115 04:16:45.122750 14011 layer_factory.hpp:172] Creating layer 'inception_3a/pool' of type 'Pooling'
I1115 04:16:45.122754 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.122762 14011 net.cpp:205] Created Layer inception_3a/pool (37)
I1115 04:16:45.122766 14011 net.cpp:577] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I1115 04:16:45.122771 14011 net.cpp:547] inception_3a/pool -> inception_3a/pool
I1115 04:16:45.122817 14011 net.cpp:265] Setting up inception_3a/pool
I1115 04:16:45.122822 14011 net.cpp:272] TEST Top shape for layer 37 'inception_3a/pool' 4 192 48 156 (5750784)
I1115 04:16:45.122828 14011 layer_factory.hpp:172] Creating layer 'inception_3a/pool_proj' of type 'Convolution'
I1115 04:16:45.122833 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.122843 14011 net.cpp:205] Created Layer inception_3a/pool_proj (38)
I1115 04:16:45.122848 14011 net.cpp:577] inception_3a/pool_proj <- inception_3a/pool
I1115 04:16:45.122851 14011 net.cpp:547] inception_3a/pool_proj -> inception_3a/pool_proj
I1115 04:16:45.123144 14011 net.cpp:265] Setting up inception_3a/pool_proj
I1115 04:16:45.123152 14011 net.cpp:272] TEST Top shape for layer 38 'inception_3a/pool_proj' 4 32 48 156 (958464)
I1115 04:16:45.123162 14011 layer_factory.hpp:172] Creating layer 'inception_3a/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.123167 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.123172 14011 net.cpp:205] Created Layer inception_3a/relu_pool_proj (39)
I1115 04:16:45.123176 14011 net.cpp:577] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I1115 04:16:45.123180 14011 net.cpp:532] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I1115 04:16:45.123186 14011 net.cpp:265] Setting up inception_3a/relu_pool_proj
I1115 04:16:45.123189 14011 net.cpp:272] TEST Top shape for layer 39 'inception_3a/relu_pool_proj' 4 32 48 156 (958464)
I1115 04:16:45.123194 14011 layer_factory.hpp:172] Creating layer 'inception_3a/output' of type 'Concat'
I1115 04:16:45.123198 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.123206 14011 net.cpp:205] Created Layer inception_3a/output (40)
I1115 04:16:45.123209 14011 net.cpp:577] inception_3a/output <- inception_3a/1x1
I1115 04:16:45.123214 14011 net.cpp:577] inception_3a/output <- inception_3a/3x3
I1115 04:16:45.123217 14011 net.cpp:577] inception_3a/output <- inception_3a/5x5
I1115 04:16:45.123221 14011 net.cpp:577] inception_3a/output <- inception_3a/pool_proj
I1115 04:16:45.123225 14011 net.cpp:547] inception_3a/output -> inception_3a/output
I1115 04:16:45.123247 14011 net.cpp:265] Setting up inception_3a/output
I1115 04:16:45.123252 14011 net.cpp:272] TEST Top shape for layer 40 'inception_3a/output' 4 256 48 156 (7667712)
I1115 04:16:45.123258 14011 layer_factory.hpp:172] Creating layer 'inception_3a/output_inception_3a/output_0_split' of type 'Split'
I1115 04:16:45.123262 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.123270 14011 net.cpp:205] Created Layer inception_3a/output_inception_3a/output_0_split (41)
I1115 04:16:45.123273 14011 net.cpp:577] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I1115 04:16:45.123278 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I1115 04:16:45.123283 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I1115 04:16:45.123291 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I1115 04:16:45.123297 14011 net.cpp:547] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I1115 04:16:45.123345 14011 net.cpp:265] Setting up inception_3a/output_inception_3a/output_0_split
I1115 04:16:45.123368 14011 net.cpp:272] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:45.123374 14011 net.cpp:272] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:45.123378 14011 net.cpp:272] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:45.123383 14011 net.cpp:272] TEST Top shape for layer 41 'inception_3a/output_inception_3a/output_0_split' 4 256 48 156 (7667712)
I1115 04:16:45.123389 14011 layer_factory.hpp:172] Creating layer 'inception_3b/1x1' of type 'Convolution'
I1115 04:16:45.123391 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.123404 14011 net.cpp:205] Created Layer inception_3b/1x1 (42)
I1115 04:16:45.123407 14011 net.cpp:577] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I1115 04:16:45.123412 14011 net.cpp:547] inception_3b/1x1 -> inception_3b/1x1
I1115 04:16:45.124119 14011 net.cpp:265] Setting up inception_3b/1x1
I1115 04:16:45.124127 14011 net.cpp:272] TEST Top shape for layer 42 'inception_3b/1x1' 4 128 48 156 (3833856)
I1115 04:16:45.124135 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_1x1' of type 'ReLU'
I1115 04:16:45.124140 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.124145 14011 net.cpp:205] Created Layer inception_3b/relu_1x1 (43)
I1115 04:16:45.124150 14011 net.cpp:577] inception_3b/relu_1x1 <- inception_3b/1x1
I1115 04:16:45.124155 14011 net.cpp:532] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I1115 04:16:45.124159 14011 net.cpp:265] Setting up inception_3b/relu_1x1
I1115 04:16:45.124162 14011 net.cpp:272] TEST Top shape for layer 43 'inception_3b/relu_1x1' 4 128 48 156 (3833856)
I1115 04:16:45.124168 14011 layer_factory.hpp:172] Creating layer 'inception_3b/3x3_reduce' of type 'Convolution'
I1115 04:16:45.124171 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.124181 14011 net.cpp:205] Created Layer inception_3b/3x3_reduce (44)
I1115 04:16:45.124184 14011 net.cpp:577] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I1115 04:16:45.124189 14011 net.cpp:547] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I1115 04:16:45.124905 14011 net.cpp:265] Setting up inception_3b/3x3_reduce
I1115 04:16:45.124913 14011 net.cpp:272] TEST Top shape for layer 44 'inception_3b/3x3_reduce' 4 128 48 156 (3833856)
I1115 04:16:45.124922 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.124927 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.124933 14011 net.cpp:205] Created Layer inception_3b/relu_3x3_reduce (45)
I1115 04:16:45.124936 14011 net.cpp:577] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I1115 04:16:45.124940 14011 net.cpp:532] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I1115 04:16:45.124945 14011 net.cpp:265] Setting up inception_3b/relu_3x3_reduce
I1115 04:16:45.124949 14011 net.cpp:272] TEST Top shape for layer 45 'inception_3b/relu_3x3_reduce' 4 128 48 156 (3833856)
I1115 04:16:45.124954 14011 layer_factory.hpp:172] Creating layer 'inception_3b/3x3' of type 'Convolution'
I1115 04:16:45.124958 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.124969 14011 net.cpp:205] Created Layer inception_3b/3x3 (46)
I1115 04:16:45.124974 14011 net.cpp:577] inception_3b/3x3 <- inception_3b/3x3_reduce
I1115 04:16:45.124977 14011 net.cpp:547] inception_3b/3x3 -> inception_3b/3x3
I1115 04:16:45.128568 14011 net.cpp:265] Setting up inception_3b/3x3
I1115 04:16:45.128576 14011 net.cpp:272] TEST Top shape for layer 46 'inception_3b/3x3' 4 192 48 156 (5750784)
I1115 04:16:45.128584 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_3x3' of type 'ReLU'
I1115 04:16:45.128604 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.128612 14011 net.cpp:205] Created Layer inception_3b/relu_3x3 (47)
I1115 04:16:45.128615 14011 net.cpp:577] inception_3b/relu_3x3 <- inception_3b/3x3
I1115 04:16:45.128620 14011 net.cpp:532] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I1115 04:16:45.128625 14011 net.cpp:265] Setting up inception_3b/relu_3x3
I1115 04:16:45.128629 14011 net.cpp:272] TEST Top shape for layer 47 'inception_3b/relu_3x3' 4 192 48 156 (5750784)
I1115 04:16:45.128635 14011 layer_factory.hpp:172] Creating layer 'inception_3b/5x5_reduce' of type 'Convolution'
I1115 04:16:45.128639 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.128649 14011 net.cpp:205] Created Layer inception_3b/5x5_reduce (48)
I1115 04:16:45.128654 14011 net.cpp:577] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I1115 04:16:45.128659 14011 net.cpp:547] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I1115 04:16:45.128993 14011 net.cpp:265] Setting up inception_3b/5x5_reduce
I1115 04:16:45.129001 14011 net.cpp:272] TEST Top shape for layer 48 'inception_3b/5x5_reduce' 4 32 48 156 (958464)
I1115 04:16:45.129009 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.129014 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.129019 14011 net.cpp:205] Created Layer inception_3b/relu_5x5_reduce (49)
I1115 04:16:45.129024 14011 net.cpp:577] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I1115 04:16:45.129027 14011 net.cpp:532] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I1115 04:16:45.129034 14011 net.cpp:265] Setting up inception_3b/relu_5x5_reduce
I1115 04:16:45.129036 14011 net.cpp:272] TEST Top shape for layer 49 'inception_3b/relu_5x5_reduce' 4 32 48 156 (958464)
I1115 04:16:45.129041 14011 layer_factory.hpp:172] Creating layer 'inception_3b/5x5' of type 'Convolution'
I1115 04:16:45.129045 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.129055 14011 net.cpp:205] Created Layer inception_3b/5x5 (50)
I1115 04:16:45.129058 14011 net.cpp:577] inception_3b/5x5 <- inception_3b/5x5_reduce
I1115 04:16:45.129062 14011 net.cpp:547] inception_3b/5x5 -> inception_3b/5x5
I1115 04:16:45.130441 14011 net.cpp:265] Setting up inception_3b/5x5
I1115 04:16:45.130448 14011 net.cpp:272] TEST Top shape for layer 50 'inception_3b/5x5' 4 96 48 156 (2875392)
I1115 04:16:45.130456 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_5x5' of type 'ReLU'
I1115 04:16:45.130460 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.130466 14011 net.cpp:205] Created Layer inception_3b/relu_5x5 (51)
I1115 04:16:45.130470 14011 net.cpp:577] inception_3b/relu_5x5 <- inception_3b/5x5
I1115 04:16:45.130475 14011 net.cpp:532] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I1115 04:16:45.130479 14011 net.cpp:265] Setting up inception_3b/relu_5x5
I1115 04:16:45.130482 14011 net.cpp:272] TEST Top shape for layer 51 'inception_3b/relu_5x5' 4 96 48 156 (2875392)
I1115 04:16:45.130487 14011 layer_factory.hpp:172] Creating layer 'inception_3b/pool' of type 'Pooling'
I1115 04:16:45.130491 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.130499 14011 net.cpp:205] Created Layer inception_3b/pool (52)
I1115 04:16:45.130503 14011 net.cpp:577] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I1115 04:16:45.130508 14011 net.cpp:547] inception_3b/pool -> inception_3b/pool
I1115 04:16:45.130551 14011 net.cpp:265] Setting up inception_3b/pool
I1115 04:16:45.130556 14011 net.cpp:272] TEST Top shape for layer 52 'inception_3b/pool' 4 256 48 156 (7667712)
I1115 04:16:45.130563 14011 layer_factory.hpp:172] Creating layer 'inception_3b/pool_proj' of type 'Convolution'
I1115 04:16:45.130583 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.130592 14011 net.cpp:205] Created Layer inception_3b/pool_proj (53)
I1115 04:16:45.130596 14011 net.cpp:577] inception_3b/pool_proj <- inception_3b/pool
I1115 04:16:45.130601 14011 net.cpp:547] inception_3b/pool_proj -> inception_3b/pool_proj
I1115 04:16:45.131048 14011 net.cpp:265] Setting up inception_3b/pool_proj
I1115 04:16:45.131057 14011 net.cpp:272] TEST Top shape for layer 53 'inception_3b/pool_proj' 4 64 48 156 (1916928)
I1115 04:16:45.131064 14011 layer_factory.hpp:172] Creating layer 'inception_3b/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.131068 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.131074 14011 net.cpp:205] Created Layer inception_3b/relu_pool_proj (54)
I1115 04:16:45.131078 14011 net.cpp:577] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I1115 04:16:45.131083 14011 net.cpp:532] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I1115 04:16:45.131088 14011 net.cpp:265] Setting up inception_3b/relu_pool_proj
I1115 04:16:45.131091 14011 net.cpp:272] TEST Top shape for layer 54 'inception_3b/relu_pool_proj' 4 64 48 156 (1916928)
I1115 04:16:45.131096 14011 layer_factory.hpp:172] Creating layer 'inception_3b/output' of type 'Concat'
I1115 04:16:45.131100 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.131106 14011 net.cpp:205] Created Layer inception_3b/output (55)
I1115 04:16:45.131110 14011 net.cpp:577] inception_3b/output <- inception_3b/1x1
I1115 04:16:45.131114 14011 net.cpp:577] inception_3b/output <- inception_3b/3x3
I1115 04:16:45.131119 14011 net.cpp:577] inception_3b/output <- inception_3b/5x5
I1115 04:16:45.131121 14011 net.cpp:577] inception_3b/output <- inception_3b/pool_proj
I1115 04:16:45.131125 14011 net.cpp:547] inception_3b/output -> inception_3b/output
I1115 04:16:45.131145 14011 net.cpp:265] Setting up inception_3b/output
I1115 04:16:45.131150 14011 net.cpp:272] TEST Top shape for layer 55 'inception_3b/output' 4 480 48 156 (14376960)
I1115 04:16:45.131155 14011 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2' of type 'Pooling'
I1115 04:16:45.131160 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.131166 14011 net.cpp:205] Created Layer pool3/3x3_s2 (56)
I1115 04:16:45.131170 14011 net.cpp:577] pool3/3x3_s2 <- inception_3b/output
I1115 04:16:45.131175 14011 net.cpp:547] pool3/3x3_s2 -> pool3/3x3_s2
I1115 04:16:45.131211 14011 net.cpp:265] Setting up pool3/3x3_s2
I1115 04:16:45.131217 14011 net.cpp:272] TEST Top shape for layer 56 'pool3/3x3_s2' 4 480 24 78 (3594240)
I1115 04:16:45.131222 14011 layer_factory.hpp:172] Creating layer 'pool3/3x3_s2_pool3/3x3_s2_0_split' of type 'Split'
I1115 04:16:45.131227 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.131232 14011 net.cpp:205] Created Layer pool3/3x3_s2_pool3/3x3_s2_0_split (57)
I1115 04:16:45.131237 14011 net.cpp:577] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I1115 04:16:45.131240 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I1115 04:16:45.131247 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I1115 04:16:45.131254 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I1115 04:16:45.131259 14011 net.cpp:547] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I1115 04:16:45.131304 14011 net.cpp:265] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I1115 04:16:45.131309 14011 net.cpp:272] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:45.131314 14011 net.cpp:272] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:45.131350 14011 net.cpp:272] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:45.131356 14011 net.cpp:272] TEST Top shape for layer 57 'pool3/3x3_s2_pool3/3x3_s2_0_split' 4 480 24 78 (3594240)
I1115 04:16:45.131361 14011 layer_factory.hpp:172] Creating layer 'inception_4a/1x1' of type 'Convolution'
I1115 04:16:45.131364 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.131376 14011 net.cpp:205] Created Layer inception_4a/1x1 (58)
I1115 04:16:45.131379 14011 net.cpp:577] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I1115 04:16:45.131384 14011 net.cpp:547] inception_4a/1x1 -> inception_4a/1x1
I1115 04:16:45.134680 14011 net.cpp:265] Setting up inception_4a/1x1
I1115 04:16:45.134690 14011 net.cpp:272] TEST Top shape for layer 58 'inception_4a/1x1' 4 192 24 78 (1437696)
I1115 04:16:45.134701 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_1x1' of type 'ReLU'
I1115 04:16:45.134704 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.134711 14011 net.cpp:205] Created Layer inception_4a/relu_1x1 (59)
I1115 04:16:45.134716 14011 net.cpp:577] inception_4a/relu_1x1 <- inception_4a/1x1
I1115 04:16:45.134719 14011 net.cpp:532] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I1115 04:16:45.134726 14011 net.cpp:265] Setting up inception_4a/relu_1x1
I1115 04:16:45.134728 14011 net.cpp:272] TEST Top shape for layer 59 'inception_4a/relu_1x1' 4 192 24 78 (1437696)
I1115 04:16:45.134734 14011 layer_factory.hpp:172] Creating layer 'inception_4a/3x3_reduce' of type 'Convolution'
I1115 04:16:45.134738 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.134747 14011 net.cpp:205] Created Layer inception_4a/3x3_reduce (60)
I1115 04:16:45.134752 14011 net.cpp:577] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I1115 04:16:45.134757 14011 net.cpp:547] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I1115 04:16:45.135674 14011 net.cpp:265] Setting up inception_4a/3x3_reduce
I1115 04:16:45.135682 14011 net.cpp:272] TEST Top shape for layer 60 'inception_4a/3x3_reduce' 4 96 24 78 (718848)
I1115 04:16:45.135694 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.135697 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.135704 14011 net.cpp:205] Created Layer inception_4a/relu_3x3_reduce (61)
I1115 04:16:45.135707 14011 net.cpp:577] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I1115 04:16:45.135711 14011 net.cpp:532] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I1115 04:16:45.135717 14011 net.cpp:265] Setting up inception_4a/relu_3x3_reduce
I1115 04:16:45.135720 14011 net.cpp:272] TEST Top shape for layer 61 'inception_4a/relu_3x3_reduce' 4 96 24 78 (718848)
I1115 04:16:45.135725 14011 layer_factory.hpp:172] Creating layer 'inception_4a/3x3' of type 'Convolution'
I1115 04:16:45.135730 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.135737 14011 net.cpp:205] Created Layer inception_4a/3x3 (62)
I1115 04:16:45.135741 14011 net.cpp:577] inception_4a/3x3 <- inception_4a/3x3_reduce
I1115 04:16:45.135746 14011 net.cpp:547] inception_4a/3x3 -> inception_4a/3x3
I1115 04:16:45.138757 14011 net.cpp:265] Setting up inception_4a/3x3
I1115 04:16:45.138767 14011 net.cpp:272] TEST Top shape for layer 62 'inception_4a/3x3' 4 208 24 78 (1557504)
I1115 04:16:45.138775 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_3x3' of type 'ReLU'
I1115 04:16:45.138779 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.138785 14011 net.cpp:205] Created Layer inception_4a/relu_3x3 (63)
I1115 04:16:45.138789 14011 net.cpp:577] inception_4a/relu_3x3 <- inception_4a/3x3
I1115 04:16:45.138793 14011 net.cpp:532] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I1115 04:16:45.138816 14011 net.cpp:265] Setting up inception_4a/relu_3x3
I1115 04:16:45.138820 14011 net.cpp:272] TEST Top shape for layer 63 'inception_4a/relu_3x3' 4 208 24 78 (1557504)
I1115 04:16:45.138826 14011 layer_factory.hpp:172] Creating layer 'inception_4a/5x5_reduce' of type 'Convolution'
I1115 04:16:45.138830 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.138842 14011 net.cpp:205] Created Layer inception_4a/5x5_reduce (64)
I1115 04:16:45.138846 14011 net.cpp:577] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I1115 04:16:45.138850 14011 net.cpp:547] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I1115 04:16:45.139165 14011 net.cpp:265] Setting up inception_4a/5x5_reduce
I1115 04:16:45.139173 14011 net.cpp:272] TEST Top shape for layer 64 'inception_4a/5x5_reduce' 4 16 24 78 (119808)
I1115 04:16:45.139181 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.139186 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.139192 14011 net.cpp:205] Created Layer inception_4a/relu_5x5_reduce (65)
I1115 04:16:45.139196 14011 net.cpp:577] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I1115 04:16:45.139200 14011 net.cpp:532] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I1115 04:16:45.139206 14011 net.cpp:265] Setting up inception_4a/relu_5x5_reduce
I1115 04:16:45.139209 14011 net.cpp:272] TEST Top shape for layer 65 'inception_4a/relu_5x5_reduce' 4 16 24 78 (119808)
I1115 04:16:45.139214 14011 layer_factory.hpp:172] Creating layer 'inception_4a/5x5' of type 'Convolution'
I1115 04:16:45.139219 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.139227 14011 net.cpp:205] Created Layer inception_4a/5x5 (66)
I1115 04:16:45.139231 14011 net.cpp:577] inception_4a/5x5 <- inception_4a/5x5_reduce
I1115 04:16:45.139235 14011 net.cpp:547] inception_4a/5x5 -> inception_4a/5x5
I1115 04:16:45.139740 14011 net.cpp:265] Setting up inception_4a/5x5
I1115 04:16:45.139747 14011 net.cpp:272] TEST Top shape for layer 66 'inception_4a/5x5' 4 48 24 78 (359424)
I1115 04:16:45.139756 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_5x5' of type 'ReLU'
I1115 04:16:45.139760 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.139765 14011 net.cpp:205] Created Layer inception_4a/relu_5x5 (67)
I1115 04:16:45.139770 14011 net.cpp:577] inception_4a/relu_5x5 <- inception_4a/5x5
I1115 04:16:45.139773 14011 net.cpp:532] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I1115 04:16:45.139780 14011 net.cpp:265] Setting up inception_4a/relu_5x5
I1115 04:16:45.139782 14011 net.cpp:272] TEST Top shape for layer 67 'inception_4a/relu_5x5' 4 48 24 78 (359424)
I1115 04:16:45.139787 14011 layer_factory.hpp:172] Creating layer 'inception_4a/pool' of type 'Pooling'
I1115 04:16:45.139791 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.139798 14011 net.cpp:205] Created Layer inception_4a/pool (68)
I1115 04:16:45.139802 14011 net.cpp:577] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I1115 04:16:45.139806 14011 net.cpp:547] inception_4a/pool -> inception_4a/pool
I1115 04:16:45.139848 14011 net.cpp:265] Setting up inception_4a/pool
I1115 04:16:45.139853 14011 net.cpp:272] TEST Top shape for layer 68 'inception_4a/pool' 4 480 24 78 (3594240)
I1115 04:16:45.139859 14011 layer_factory.hpp:172] Creating layer 'inception_4a/pool_proj' of type 'Convolution'
I1115 04:16:45.139863 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.139873 14011 net.cpp:205] Created Layer inception_4a/pool_proj (69)
I1115 04:16:45.139876 14011 net.cpp:577] inception_4a/pool_proj <- inception_4a/pool
I1115 04:16:45.139880 14011 net.cpp:547] inception_4a/pool_proj -> inception_4a/pool_proj
I1115 04:16:45.140563 14011 net.cpp:265] Setting up inception_4a/pool_proj
I1115 04:16:45.140570 14011 net.cpp:272] TEST Top shape for layer 69 'inception_4a/pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.140578 14011 layer_factory.hpp:172] Creating layer 'inception_4a/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.140583 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.140588 14011 net.cpp:205] Created Layer inception_4a/relu_pool_proj (70)
I1115 04:16:45.140592 14011 net.cpp:577] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I1115 04:16:45.140596 14011 net.cpp:532] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I1115 04:16:45.140602 14011 net.cpp:265] Setting up inception_4a/relu_pool_proj
I1115 04:16:45.140605 14011 net.cpp:272] TEST Top shape for layer 70 'inception_4a/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.140610 14011 layer_factory.hpp:172] Creating layer 'inception_4a/output' of type 'Concat'
I1115 04:16:45.140614 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.140620 14011 net.cpp:205] Created Layer inception_4a/output (71)
I1115 04:16:45.140624 14011 net.cpp:577] inception_4a/output <- inception_4a/1x1
I1115 04:16:45.140627 14011 net.cpp:577] inception_4a/output <- inception_4a/3x3
I1115 04:16:45.140631 14011 net.cpp:577] inception_4a/output <- inception_4a/5x5
I1115 04:16:45.140635 14011 net.cpp:577] inception_4a/output <- inception_4a/pool_proj
I1115 04:16:45.140640 14011 net.cpp:547] inception_4a/output -> inception_4a/output
I1115 04:16:45.140660 14011 net.cpp:265] Setting up inception_4a/output
I1115 04:16:45.140664 14011 net.cpp:272] TEST Top shape for layer 71 'inception_4a/output' 4 512 24 78 (3833856)
I1115 04:16:45.140669 14011 layer_factory.hpp:172] Creating layer 'inception_4a/output_inception_4a/output_0_split' of type 'Split'
I1115 04:16:45.140673 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.140681 14011 net.cpp:205] Created Layer inception_4a/output_inception_4a/output_0_split (72)
I1115 04:16:45.140684 14011 net.cpp:577] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I1115 04:16:45.140688 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I1115 04:16:45.140693 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I1115 04:16:45.140697 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I1115 04:16:45.140702 14011 net.cpp:547] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I1115 04:16:45.140753 14011 net.cpp:265] Setting up inception_4a/output_inception_4a/output_0_split
I1115 04:16:45.140758 14011 net.cpp:272] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.140772 14011 net.cpp:272] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.140777 14011 net.cpp:272] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.140784 14011 net.cpp:272] TEST Top shape for layer 72 'inception_4a/output_inception_4a/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.140789 14011 layer_factory.hpp:172] Creating layer 'inception_4b/1x1' of type 'Convolution'
I1115 04:16:45.140792 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.140801 14011 net.cpp:205] Created Layer inception_4b/1x1 (73)
I1115 04:16:45.140806 14011 net.cpp:577] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_0
I1115 04:16:45.140810 14011 net.cpp:547] inception_4b/1x1 -> inception_4b/1x1
I1115 04:16:45.142275 14011 net.cpp:265] Setting up inception_4b/1x1
I1115 04:16:45.142283 14011 net.cpp:272] TEST Top shape for layer 73 'inception_4b/1x1' 4 160 24 78 (1198080)
I1115 04:16:45.142307 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_1x1' of type 'ReLU'
I1115 04:16:45.142311 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.142318 14011 net.cpp:205] Created Layer inception_4b/relu_1x1 (74)
I1115 04:16:45.142323 14011 net.cpp:577] inception_4b/relu_1x1 <- inception_4b/1x1
I1115 04:16:45.142326 14011 net.cpp:532] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I1115 04:16:45.142333 14011 net.cpp:265] Setting up inception_4b/relu_1x1
I1115 04:16:45.142335 14011 net.cpp:272] TEST Top shape for layer 74 'inception_4b/relu_1x1' 4 160 24 78 (1198080)
I1115 04:16:45.142340 14011 layer_factory.hpp:172] Creating layer 'inception_4b/3x3_reduce' of type 'Convolution'
I1115 04:16:45.142344 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.142354 14011 net.cpp:205] Created Layer inception_4b/3x3_reduce (75)
I1115 04:16:45.142357 14011 net.cpp:577] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_1
I1115 04:16:45.142361 14011 net.cpp:547] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I1115 04:16:45.144729 14011 net.cpp:265] Setting up inception_4b/3x3_reduce
I1115 04:16:45.144739 14011 net.cpp:272] TEST Top shape for layer 75 'inception_4b/3x3_reduce' 4 112 24 78 (838656)
I1115 04:16:45.144755 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.144760 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.144767 14011 net.cpp:205] Created Layer inception_4b/relu_3x3_reduce (76)
I1115 04:16:45.144771 14011 net.cpp:577] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I1115 04:16:45.144776 14011 net.cpp:532] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I1115 04:16:45.144783 14011 net.cpp:265] Setting up inception_4b/relu_3x3_reduce
I1115 04:16:45.144786 14011 net.cpp:272] TEST Top shape for layer 76 'inception_4b/relu_3x3_reduce' 4 112 24 78 (838656)
I1115 04:16:45.144793 14011 layer_factory.hpp:172] Creating layer 'inception_4b/3x3' of type 'Convolution'
I1115 04:16:45.144796 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.144806 14011 net.cpp:205] Created Layer inception_4b/3x3 (77)
I1115 04:16:45.144810 14011 net.cpp:577] inception_4b/3x3 <- inception_4b/3x3_reduce
I1115 04:16:45.144814 14011 net.cpp:547] inception_4b/3x3 -> inception_4b/3x3
I1115 04:16:45.148542 14011 net.cpp:265] Setting up inception_4b/3x3
I1115 04:16:45.148550 14011 net.cpp:272] TEST Top shape for layer 77 'inception_4b/3x3' 4 224 24 78 (1677312)
I1115 04:16:45.148558 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_3x3' of type 'ReLU'
I1115 04:16:45.148562 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.148569 14011 net.cpp:205] Created Layer inception_4b/relu_3x3 (78)
I1115 04:16:45.148574 14011 net.cpp:577] inception_4b/relu_3x3 <- inception_4b/3x3
I1115 04:16:45.148578 14011 net.cpp:532] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I1115 04:16:45.148584 14011 net.cpp:265] Setting up inception_4b/relu_3x3
I1115 04:16:45.148588 14011 net.cpp:272] TEST Top shape for layer 78 'inception_4b/relu_3x3' 4 224 24 78 (1677312)
I1115 04:16:45.148593 14011 layer_factory.hpp:172] Creating layer 'inception_4b/5x5_reduce' of type 'Convolution'
I1115 04:16:45.148597 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.148610 14011 net.cpp:205] Created Layer inception_4b/5x5_reduce (79)
I1115 04:16:45.148614 14011 net.cpp:577] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_2
I1115 04:16:45.148618 14011 net.cpp:547] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I1115 04:16:45.149104 14011 net.cpp:265] Setting up inception_4b/5x5_reduce
I1115 04:16:45.149129 14011 net.cpp:272] TEST Top shape for layer 79 'inception_4b/5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:45.149139 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.149144 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.149152 14011 net.cpp:205] Created Layer inception_4b/relu_5x5_reduce (80)
I1115 04:16:45.149155 14011 net.cpp:577] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I1115 04:16:45.149160 14011 net.cpp:532] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I1115 04:16:45.149166 14011 net.cpp:265] Setting up inception_4b/relu_5x5_reduce
I1115 04:16:45.149169 14011 net.cpp:272] TEST Top shape for layer 80 'inception_4b/relu_5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:45.149174 14011 layer_factory.hpp:172] Creating layer 'inception_4b/5x5' of type 'Convolution'
I1115 04:16:45.149178 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.149189 14011 net.cpp:205] Created Layer inception_4b/5x5 (81)
I1115 04:16:45.149194 14011 net.cpp:577] inception_4b/5x5 <- inception_4b/5x5_reduce
I1115 04:16:45.149197 14011 net.cpp:547] inception_4b/5x5 -> inception_4b/5x5
I1115 04:16:45.150012 14011 net.cpp:265] Setting up inception_4b/5x5
I1115 04:16:45.150018 14011 net.cpp:272] TEST Top shape for layer 81 'inception_4b/5x5' 4 64 24 78 (479232)
I1115 04:16:45.150027 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_5x5' of type 'ReLU'
I1115 04:16:45.150030 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.150038 14011 net.cpp:205] Created Layer inception_4b/relu_5x5 (82)
I1115 04:16:45.150043 14011 net.cpp:577] inception_4b/relu_5x5 <- inception_4b/5x5
I1115 04:16:45.150046 14011 net.cpp:532] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I1115 04:16:45.150051 14011 net.cpp:265] Setting up inception_4b/relu_5x5
I1115 04:16:45.150055 14011 net.cpp:272] TEST Top shape for layer 82 'inception_4b/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:45.150060 14011 layer_factory.hpp:172] Creating layer 'inception_4b/pool' of type 'Pooling'
I1115 04:16:45.150063 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.150072 14011 net.cpp:205] Created Layer inception_4b/pool (83)
I1115 04:16:45.150076 14011 net.cpp:577] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_3
I1115 04:16:45.150080 14011 net.cpp:547] inception_4b/pool -> inception_4b/pool
I1115 04:16:45.150128 14011 net.cpp:265] Setting up inception_4b/pool
I1115 04:16:45.150132 14011 net.cpp:272] TEST Top shape for layer 83 'inception_4b/pool' 4 512 24 78 (3833856)
I1115 04:16:45.150138 14011 layer_factory.hpp:172] Creating layer 'inception_4b/pool_proj' of type 'Convolution'
I1115 04:16:45.150142 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.150153 14011 net.cpp:205] Created Layer inception_4b/pool_proj (84)
I1115 04:16:45.150157 14011 net.cpp:577] inception_4b/pool_proj <- inception_4b/pool
I1115 04:16:45.150163 14011 net.cpp:547] inception_4b/pool_proj -> inception_4b/pool_proj
I1115 04:16:45.150965 14011 net.cpp:265] Setting up inception_4b/pool_proj
I1115 04:16:45.150974 14011 net.cpp:272] TEST Top shape for layer 84 'inception_4b/pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.150982 14011 layer_factory.hpp:172] Creating layer 'inception_4b/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.150986 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.150992 14011 net.cpp:205] Created Layer inception_4b/relu_pool_proj (85)
I1115 04:16:45.150997 14011 net.cpp:577] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I1115 04:16:45.151001 14011 net.cpp:532] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I1115 04:16:45.151007 14011 net.cpp:265] Setting up inception_4b/relu_pool_proj
I1115 04:16:45.151024 14011 net.cpp:272] TEST Top shape for layer 85 'inception_4b/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.151031 14011 layer_factory.hpp:172] Creating layer 'inception_4b/output' of type 'Concat'
I1115 04:16:45.151036 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.151042 14011 net.cpp:205] Created Layer inception_4b/output (86)
I1115 04:16:45.151047 14011 net.cpp:577] inception_4b/output <- inception_4b/1x1
I1115 04:16:45.151051 14011 net.cpp:577] inception_4b/output <- inception_4b/3x3
I1115 04:16:45.151055 14011 net.cpp:577] inception_4b/output <- inception_4b/5x5
I1115 04:16:45.151059 14011 net.cpp:577] inception_4b/output <- inception_4b/pool_proj
I1115 04:16:45.151063 14011 net.cpp:547] inception_4b/output -> inception_4b/output
I1115 04:16:45.151087 14011 net.cpp:265] Setting up inception_4b/output
I1115 04:16:45.151093 14011 net.cpp:272] TEST Top shape for layer 86 'inception_4b/output' 4 512 24 78 (3833856)
I1115 04:16:45.151098 14011 layer_factory.hpp:172] Creating layer 'inception_4b/output_inception_4b/output_0_split' of type 'Split'
I1115 04:16:45.151103 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.151110 14011 net.cpp:205] Created Layer inception_4b/output_inception_4b/output_0_split (87)
I1115 04:16:45.151114 14011 net.cpp:577] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I1115 04:16:45.151119 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I1115 04:16:45.151125 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I1115 04:16:45.151131 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I1115 04:16:45.151135 14011 net.cpp:547] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I1115 04:16:45.151182 14011 net.cpp:265] Setting up inception_4b/output_inception_4b/output_0_split
I1115 04:16:45.151186 14011 net.cpp:272] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.151192 14011 net.cpp:272] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.151196 14011 net.cpp:272] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.151201 14011 net.cpp:272] TEST Top shape for layer 87 'inception_4b/output_inception_4b/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.151206 14011 layer_factory.hpp:172] Creating layer 'inception_4c/1x1' of type 'Convolution'
I1115 04:16:45.151211 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.151221 14011 net.cpp:205] Created Layer inception_4c/1x1 (88)
I1115 04:16:45.151224 14011 net.cpp:577] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I1115 04:16:45.151228 14011 net.cpp:547] inception_4c/1x1 -> inception_4c/1x1
I1115 04:16:45.152443 14011 net.cpp:265] Setting up inception_4c/1x1
I1115 04:16:45.152451 14011 net.cpp:272] TEST Top shape for layer 88 'inception_4c/1x1' 4 128 24 78 (958464)
I1115 04:16:45.152458 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_1x1' of type 'ReLU'
I1115 04:16:45.152462 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.152469 14011 net.cpp:205] Created Layer inception_4c/relu_1x1 (89)
I1115 04:16:45.152473 14011 net.cpp:577] inception_4c/relu_1x1 <- inception_4c/1x1
I1115 04:16:45.152478 14011 net.cpp:532] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I1115 04:16:45.152483 14011 net.cpp:265] Setting up inception_4c/relu_1x1
I1115 04:16:45.152487 14011 net.cpp:272] TEST Top shape for layer 89 'inception_4c/relu_1x1' 4 128 24 78 (958464)
I1115 04:16:45.152493 14011 layer_factory.hpp:172] Creating layer 'inception_4c/3x3_reduce' of type 'Convolution'
I1115 04:16:45.152510 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.152523 14011 net.cpp:205] Created Layer inception_4c/3x3_reduce (90)
I1115 04:16:45.152526 14011 net.cpp:577] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I1115 04:16:45.152530 14011 net.cpp:547] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I1115 04:16:45.153767 14011 net.cpp:265] Setting up inception_4c/3x3_reduce
I1115 04:16:45.153776 14011 net.cpp:272] TEST Top shape for layer 90 'inception_4c/3x3_reduce' 4 128 24 78 (958464)
I1115 04:16:45.153784 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.153789 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.153796 14011 net.cpp:205] Created Layer inception_4c/relu_3x3_reduce (91)
I1115 04:16:45.153800 14011 net.cpp:577] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I1115 04:16:45.153805 14011 net.cpp:532] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I1115 04:16:45.153810 14011 net.cpp:265] Setting up inception_4c/relu_3x3_reduce
I1115 04:16:45.153815 14011 net.cpp:272] TEST Top shape for layer 91 'inception_4c/relu_3x3_reduce' 4 128 24 78 (958464)
I1115 04:16:45.153820 14011 layer_factory.hpp:172] Creating layer 'inception_4c/3x3' of type 'Convolution'
I1115 04:16:45.153822 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.153834 14011 net.cpp:205] Created Layer inception_4c/3x3 (92)
I1115 04:16:45.153838 14011 net.cpp:577] inception_4c/3x3 <- inception_4c/3x3_reduce
I1115 04:16:45.153842 14011 net.cpp:547] inception_4c/3x3 -> inception_4c/3x3
I1115 04:16:45.159926 14011 net.cpp:265] Setting up inception_4c/3x3
I1115 04:16:45.159937 14011 net.cpp:272] TEST Top shape for layer 92 'inception_4c/3x3' 4 256 24 78 (1916928)
I1115 04:16:45.159947 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_3x3' of type 'ReLU'
I1115 04:16:45.159951 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.159960 14011 net.cpp:205] Created Layer inception_4c/relu_3x3 (93)
I1115 04:16:45.159965 14011 net.cpp:577] inception_4c/relu_3x3 <- inception_4c/3x3
I1115 04:16:45.159968 14011 net.cpp:532] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I1115 04:16:45.159974 14011 net.cpp:265] Setting up inception_4c/relu_3x3
I1115 04:16:45.159977 14011 net.cpp:272] TEST Top shape for layer 93 'inception_4c/relu_3x3' 4 256 24 78 (1916928)
I1115 04:16:45.159983 14011 layer_factory.hpp:172] Creating layer 'inception_4c/5x5_reduce' of type 'Convolution'
I1115 04:16:45.159987 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.159997 14011 net.cpp:205] Created Layer inception_4c/5x5_reduce (94)
I1115 04:16:45.160001 14011 net.cpp:577] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I1115 04:16:45.160006 14011 net.cpp:547] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I1115 04:16:45.160423 14011 net.cpp:265] Setting up inception_4c/5x5_reduce
I1115 04:16:45.160431 14011 net.cpp:272] TEST Top shape for layer 94 'inception_4c/5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:45.160440 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.160459 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.160463 14011 net.cpp:205] Created Layer inception_4c/relu_5x5_reduce (95)
I1115 04:16:45.160468 14011 net.cpp:577] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I1115 04:16:45.160473 14011 net.cpp:532] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I1115 04:16:45.160478 14011 net.cpp:265] Setting up inception_4c/relu_5x5_reduce
I1115 04:16:45.160481 14011 net.cpp:272] TEST Top shape for layer 95 'inception_4c/relu_5x5_reduce' 4 24 24 78 (179712)
I1115 04:16:45.160506 14011 layer_factory.hpp:172] Creating layer 'inception_4c/5x5' of type 'Convolution'
I1115 04:16:45.160511 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.160524 14011 net.cpp:205] Created Layer inception_4c/5x5 (96)
I1115 04:16:45.160528 14011 net.cpp:577] inception_4c/5x5 <- inception_4c/5x5_reduce
I1115 04:16:45.160533 14011 net.cpp:547] inception_4c/5x5 -> inception_4c/5x5
I1115 04:16:45.162111 14011 net.cpp:265] Setting up inception_4c/5x5
I1115 04:16:45.162123 14011 net.cpp:272] TEST Top shape for layer 96 'inception_4c/5x5' 4 64 24 78 (479232)
I1115 04:16:45.162134 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_5x5' of type 'ReLU'
I1115 04:16:45.162138 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.162147 14011 net.cpp:205] Created Layer inception_4c/relu_5x5 (97)
I1115 04:16:45.162151 14011 net.cpp:577] inception_4c/relu_5x5 <- inception_4c/5x5
I1115 04:16:45.162156 14011 net.cpp:532] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I1115 04:16:45.162163 14011 net.cpp:265] Setting up inception_4c/relu_5x5
I1115 04:16:45.162166 14011 net.cpp:272] TEST Top shape for layer 97 'inception_4c/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:45.162173 14011 layer_factory.hpp:172] Creating layer 'inception_4c/pool' of type 'Pooling'
I1115 04:16:45.162176 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.162184 14011 net.cpp:205] Created Layer inception_4c/pool (98)
I1115 04:16:45.162189 14011 net.cpp:577] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I1115 04:16:45.162194 14011 net.cpp:547] inception_4c/pool -> inception_4c/pool
I1115 04:16:45.163192 14011 net.cpp:265] Setting up inception_4c/pool
I1115 04:16:45.163218 14011 net.cpp:272] TEST Top shape for layer 98 'inception_4c/pool' 4 512 24 78 (3833856)
I1115 04:16:45.163240 14011 layer_factory.hpp:172] Creating layer 'inception_4c/pool_proj' of type 'Convolution'
I1115 04:16:45.163251 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.163280 14011 net.cpp:205] Created Layer inception_4c/pool_proj (99)
I1115 04:16:45.163293 14011 net.cpp:577] inception_4c/pool_proj <- inception_4c/pool
I1115 04:16:45.163307 14011 net.cpp:547] inception_4c/pool_proj -> inception_4c/pool_proj
I1115 04:16:45.164155 14011 net.cpp:265] Setting up inception_4c/pool_proj
I1115 04:16:45.164165 14011 net.cpp:272] TEST Top shape for layer 99 'inception_4c/pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.164180 14011 layer_factory.hpp:172] Creating layer 'inception_4c/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.164186 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.164193 14011 net.cpp:205] Created Layer inception_4c/relu_pool_proj (100)
I1115 04:16:45.164198 14011 net.cpp:577] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I1115 04:16:45.164202 14011 net.cpp:532] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I1115 04:16:45.164209 14011 net.cpp:265] Setting up inception_4c/relu_pool_proj
I1115 04:16:45.164212 14011 net.cpp:272] TEST Top shape for layer 100 'inception_4c/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.164218 14011 layer_factory.hpp:172] Creating layer 'inception_4c/output' of type 'Concat'
I1115 04:16:45.164222 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.164229 14011 net.cpp:205] Created Layer inception_4c/output (101)
I1115 04:16:45.164233 14011 net.cpp:577] inception_4c/output <- inception_4c/1x1
I1115 04:16:45.164237 14011 net.cpp:577] inception_4c/output <- inception_4c/3x3
I1115 04:16:45.164242 14011 net.cpp:577] inception_4c/output <- inception_4c/5x5
I1115 04:16:45.164244 14011 net.cpp:577] inception_4c/output <- inception_4c/pool_proj
I1115 04:16:45.164248 14011 net.cpp:547] inception_4c/output -> inception_4c/output
I1115 04:16:45.164299 14011 net.cpp:265] Setting up inception_4c/output
I1115 04:16:45.164305 14011 net.cpp:272] TEST Top shape for layer 101 'inception_4c/output' 4 512 24 78 (3833856)
I1115 04:16:45.164312 14011 layer_factory.hpp:172] Creating layer 'inception_4c/output_inception_4c/output_0_split' of type 'Split'
I1115 04:16:45.164316 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.164324 14011 net.cpp:205] Created Layer inception_4c/output_inception_4c/output_0_split (102)
I1115 04:16:45.164328 14011 net.cpp:577] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I1115 04:16:45.164333 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I1115 04:16:45.164340 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I1115 04:16:45.164345 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I1115 04:16:45.164350 14011 net.cpp:547] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I1115 04:16:45.164400 14011 net.cpp:265] Setting up inception_4c/output_inception_4c/output_0_split
I1115 04:16:45.164405 14011 net.cpp:272] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.164410 14011 net.cpp:272] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.164414 14011 net.cpp:272] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.164419 14011 net.cpp:272] TEST Top shape for layer 102 'inception_4c/output_inception_4c/output_0_split' 4 512 24 78 (3833856)
I1115 04:16:45.164424 14011 layer_factory.hpp:172] Creating layer 'inception_4d/1x1' of type 'Convolution'
I1115 04:16:45.164428 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.164439 14011 net.cpp:205] Created Layer inception_4d/1x1 (103)
I1115 04:16:45.164443 14011 net.cpp:577] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I1115 04:16:45.164448 14011 net.cpp:547] inception_4d/1x1 -> inception_4d/1x1
I1115 04:16:45.165565 14011 net.cpp:265] Setting up inception_4d/1x1
I1115 04:16:45.165575 14011 net.cpp:272] TEST Top shape for layer 103 'inception_4d/1x1' 4 112 24 78 (838656)
I1115 04:16:45.165583 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_1x1' of type 'ReLU'
I1115 04:16:45.165587 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.165596 14011 net.cpp:205] Created Layer inception_4d/relu_1x1 (104)
I1115 04:16:45.165599 14011 net.cpp:577] inception_4d/relu_1x1 <- inception_4d/1x1
I1115 04:16:45.165606 14011 net.cpp:532] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I1115 04:16:45.165611 14011 net.cpp:265] Setting up inception_4d/relu_1x1
I1115 04:16:45.165616 14011 net.cpp:272] TEST Top shape for layer 104 'inception_4d/relu_1x1' 4 112 24 78 (838656)
I1115 04:16:45.165621 14011 layer_factory.hpp:172] Creating layer 'inception_4d/3x3_reduce' of type 'Convolution'
I1115 04:16:45.165625 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.165637 14011 net.cpp:205] Created Layer inception_4d/3x3_reduce (105)
I1115 04:16:45.165640 14011 net.cpp:577] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I1115 04:16:45.165645 14011 net.cpp:547] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I1115 04:16:45.166998 14011 net.cpp:265] Setting up inception_4d/3x3_reduce
I1115 04:16:45.167006 14011 net.cpp:272] TEST Top shape for layer 105 'inception_4d/3x3_reduce' 4 144 24 78 (1078272)
I1115 04:16:45.167014 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.167035 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.167042 14011 net.cpp:205] Created Layer inception_4d/relu_3x3_reduce (106)
I1115 04:16:45.167047 14011 net.cpp:577] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I1115 04:16:45.167052 14011 net.cpp:532] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I1115 04:16:45.167057 14011 net.cpp:265] Setting up inception_4d/relu_3x3_reduce
I1115 04:16:45.167062 14011 net.cpp:272] TEST Top shape for layer 106 'inception_4d/relu_3x3_reduce' 4 144 24 78 (1078272)
I1115 04:16:45.167068 14011 layer_factory.hpp:172] Creating layer 'inception_4d/3x3' of type 'Convolution'
I1115 04:16:45.167071 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.167084 14011 net.cpp:205] Created Layer inception_4d/3x3 (107)
I1115 04:16:45.167088 14011 net.cpp:577] inception_4d/3x3 <- inception_4d/3x3_reduce
I1115 04:16:45.167093 14011 net.cpp:547] inception_4d/3x3 -> inception_4d/3x3
I1115 04:16:45.174419 14011 net.cpp:265] Setting up inception_4d/3x3
I1115 04:16:45.174430 14011 net.cpp:272] TEST Top shape for layer 107 'inception_4d/3x3' 4 288 24 78 (2156544)
I1115 04:16:45.174440 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_3x3' of type 'ReLU'
I1115 04:16:45.174445 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.174453 14011 net.cpp:205] Created Layer inception_4d/relu_3x3 (108)
I1115 04:16:45.174458 14011 net.cpp:577] inception_4d/relu_3x3 <- inception_4d/3x3
I1115 04:16:45.174461 14011 net.cpp:532] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I1115 04:16:45.174468 14011 net.cpp:265] Setting up inception_4d/relu_3x3
I1115 04:16:45.174471 14011 net.cpp:272] TEST Top shape for layer 108 'inception_4d/relu_3x3' 4 288 24 78 (2156544)
I1115 04:16:45.174476 14011 layer_factory.hpp:172] Creating layer 'inception_4d/5x5_reduce' of type 'Convolution'
I1115 04:16:45.174480 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.174494 14011 net.cpp:205] Created Layer inception_4d/5x5_reduce (109)
I1115 04:16:45.174497 14011 net.cpp:577] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I1115 04:16:45.174502 14011 net.cpp:547] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I1115 04:16:45.175014 14011 net.cpp:265] Setting up inception_4d/5x5_reduce
I1115 04:16:45.175021 14011 net.cpp:272] TEST Top shape for layer 109 'inception_4d/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.175030 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.175034 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.175041 14011 net.cpp:205] Created Layer inception_4d/relu_5x5_reduce (110)
I1115 04:16:45.175046 14011 net.cpp:577] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I1115 04:16:45.175050 14011 net.cpp:532] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I1115 04:16:45.175056 14011 net.cpp:265] Setting up inception_4d/relu_5x5_reduce
I1115 04:16:45.175060 14011 net.cpp:272] TEST Top shape for layer 110 'inception_4d/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.175065 14011 layer_factory.hpp:172] Creating layer 'inception_4d/5x5' of type 'Convolution'
I1115 04:16:45.175068 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.175081 14011 net.cpp:205] Created Layer inception_4d/5x5 (111)
I1115 04:16:45.175086 14011 net.cpp:577] inception_4d/5x5 <- inception_4d/5x5_reduce
I1115 04:16:45.175089 14011 net.cpp:547] inception_4d/5x5 -> inception_4d/5x5
I1115 04:16:45.176148 14011 net.cpp:265] Setting up inception_4d/5x5
I1115 04:16:45.176156 14011 net.cpp:272] TEST Top shape for layer 111 'inception_4d/5x5' 4 64 24 78 (479232)
I1115 04:16:45.176165 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_5x5' of type 'ReLU'
I1115 04:16:45.176187 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.176194 14011 net.cpp:205] Created Layer inception_4d/relu_5x5 (112)
I1115 04:16:45.176198 14011 net.cpp:577] inception_4d/relu_5x5 <- inception_4d/5x5
I1115 04:16:45.176203 14011 net.cpp:532] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I1115 04:16:45.176209 14011 net.cpp:265] Setting up inception_4d/relu_5x5
I1115 04:16:45.176213 14011 net.cpp:272] TEST Top shape for layer 112 'inception_4d/relu_5x5' 4 64 24 78 (479232)
I1115 04:16:45.176218 14011 layer_factory.hpp:172] Creating layer 'inception_4d/pool' of type 'Pooling'
I1115 04:16:45.176223 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.176230 14011 net.cpp:205] Created Layer inception_4d/pool (113)
I1115 04:16:45.176234 14011 net.cpp:577] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I1115 04:16:45.176239 14011 net.cpp:547] inception_4d/pool -> inception_4d/pool
I1115 04:16:45.176290 14011 net.cpp:265] Setting up inception_4d/pool
I1115 04:16:45.176295 14011 net.cpp:272] TEST Top shape for layer 113 'inception_4d/pool' 4 512 24 78 (3833856)
I1115 04:16:45.176301 14011 layer_factory.hpp:172] Creating layer 'inception_4d/pool_proj' of type 'Convolution'
I1115 04:16:45.176304 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.176316 14011 net.cpp:205] Created Layer inception_4d/pool_proj (114)
I1115 04:16:45.176321 14011 net.cpp:577] inception_4d/pool_proj <- inception_4d/pool
I1115 04:16:45.176324 14011 net.cpp:547] inception_4d/pool_proj -> inception_4d/pool_proj
I1115 04:16:45.177062 14011 net.cpp:265] Setting up inception_4d/pool_proj
I1115 04:16:45.177070 14011 net.cpp:272] TEST Top shape for layer 114 'inception_4d/pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.177079 14011 layer_factory.hpp:172] Creating layer 'inception_4d/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.177083 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.177090 14011 net.cpp:205] Created Layer inception_4d/relu_pool_proj (115)
I1115 04:16:45.177095 14011 net.cpp:577] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I1115 04:16:45.177099 14011 net.cpp:532] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I1115 04:16:45.177105 14011 net.cpp:265] Setting up inception_4d/relu_pool_proj
I1115 04:16:45.177109 14011 net.cpp:272] TEST Top shape for layer 115 'inception_4d/relu_pool_proj' 4 64 24 78 (479232)
I1115 04:16:45.177114 14011 layer_factory.hpp:172] Creating layer 'inception_4d/output' of type 'Concat'
I1115 04:16:45.177117 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.177126 14011 net.cpp:205] Created Layer inception_4d/output (116)
I1115 04:16:45.177131 14011 net.cpp:577] inception_4d/output <- inception_4d/1x1
I1115 04:16:45.177135 14011 net.cpp:577] inception_4d/output <- inception_4d/3x3
I1115 04:16:45.177139 14011 net.cpp:577] inception_4d/output <- inception_4d/5x5
I1115 04:16:45.177143 14011 net.cpp:577] inception_4d/output <- inception_4d/pool_proj
I1115 04:16:45.177147 14011 net.cpp:547] inception_4d/output -> inception_4d/output
I1115 04:16:45.177170 14011 net.cpp:265] Setting up inception_4d/output
I1115 04:16:45.177175 14011 net.cpp:272] TEST Top shape for layer 116 'inception_4d/output' 4 528 24 78 (3953664)
I1115 04:16:45.177181 14011 layer_factory.hpp:172] Creating layer 'inception_4d/output_inception_4d/output_0_split' of type 'Split'
I1115 04:16:45.177186 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.177192 14011 net.cpp:205] Created Layer inception_4d/output_inception_4d/output_0_split (117)
I1115 04:16:45.177196 14011 net.cpp:577] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I1115 04:16:45.177201 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I1115 04:16:45.177222 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I1115 04:16:45.177228 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I1115 04:16:45.177233 14011 net.cpp:547] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I1115 04:16:45.177286 14011 net.cpp:265] Setting up inception_4d/output_inception_4d/output_0_split
I1115 04:16:45.177291 14011 net.cpp:272] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:45.177296 14011 net.cpp:272] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:45.177301 14011 net.cpp:272] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:45.177305 14011 net.cpp:272] TEST Top shape for layer 117 'inception_4d/output_inception_4d/output_0_split' 4 528 24 78 (3953664)
I1115 04:16:45.177311 14011 layer_factory.hpp:172] Creating layer 'inception_4e/1x1' of type 'Convolution'
I1115 04:16:45.177314 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.177327 14011 net.cpp:205] Created Layer inception_4e/1x1 (118)
I1115 04:16:45.177331 14011 net.cpp:577] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_0
I1115 04:16:45.177335 14011 net.cpp:547] inception_4e/1x1 -> inception_4e/1x1
I1115 04:16:45.181025 14011 net.cpp:265] Setting up inception_4e/1x1
I1115 04:16:45.181036 14011 net.cpp:272] TEST Top shape for layer 118 'inception_4e/1x1' 4 256 24 78 (1916928)
I1115 04:16:45.181046 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_1x1' of type 'ReLU'
I1115 04:16:45.181051 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.181059 14011 net.cpp:205] Created Layer inception_4e/relu_1x1 (119)
I1115 04:16:45.181064 14011 net.cpp:577] inception_4e/relu_1x1 <- inception_4e/1x1
I1115 04:16:45.181069 14011 net.cpp:532] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I1115 04:16:45.181075 14011 net.cpp:265] Setting up inception_4e/relu_1x1
I1115 04:16:45.181079 14011 net.cpp:272] TEST Top shape for layer 119 'inception_4e/relu_1x1' 4 256 24 78 (1916928)
I1115 04:16:45.181085 14011 layer_factory.hpp:172] Creating layer 'inception_4e/3x3_reduce' of type 'Convolution'
I1115 04:16:45.181088 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.181100 14011 net.cpp:205] Created Layer inception_4e/3x3_reduce (120)
I1115 04:16:45.181105 14011 net.cpp:577] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_1
I1115 04:16:45.181110 14011 net.cpp:547] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I1115 04:16:45.182691 14011 net.cpp:265] Setting up inception_4e/3x3_reduce
I1115 04:16:45.182699 14011 net.cpp:272] TEST Top shape for layer 120 'inception_4e/3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:45.182708 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.182711 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.182718 14011 net.cpp:205] Created Layer inception_4e/relu_3x3_reduce (121)
I1115 04:16:45.182723 14011 net.cpp:577] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I1115 04:16:45.182727 14011 net.cpp:532] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I1115 04:16:45.182732 14011 net.cpp:265] Setting up inception_4e/relu_3x3_reduce
I1115 04:16:45.182735 14011 net.cpp:272] TEST Top shape for layer 121 'inception_4e/relu_3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:45.182740 14011 layer_factory.hpp:172] Creating layer 'inception_4e/3x3' of type 'Convolution'
I1115 04:16:45.182765 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.182780 14011 net.cpp:205] Created Layer inception_4e/3x3 (122)
I1115 04:16:45.182785 14011 net.cpp:577] inception_4e/3x3 <- inception_4e/3x3_reduce
I1115 04:16:45.182790 14011 net.cpp:547] inception_4e/3x3 -> inception_4e/3x3
I1115 04:16:45.191460 14011 net.cpp:265] Setting up inception_4e/3x3
I1115 04:16:45.191471 14011 net.cpp:272] TEST Top shape for layer 122 'inception_4e/3x3' 4 320 24 78 (2396160)
I1115 04:16:45.191480 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_3x3' of type 'ReLU'
I1115 04:16:45.191485 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.191493 14011 net.cpp:205] Created Layer inception_4e/relu_3x3 (123)
I1115 04:16:45.191496 14011 net.cpp:577] inception_4e/relu_3x3 <- inception_4e/3x3
I1115 04:16:45.191501 14011 net.cpp:532] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I1115 04:16:45.191507 14011 net.cpp:265] Setting up inception_4e/relu_3x3
I1115 04:16:45.191510 14011 net.cpp:272] TEST Top shape for layer 123 'inception_4e/relu_3x3' 4 320 24 78 (2396160)
I1115 04:16:45.191516 14011 layer_factory.hpp:172] Creating layer 'inception_4e/5x5_reduce' of type 'Convolution'
I1115 04:16:45.191520 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.191531 14011 net.cpp:205] Created Layer inception_4e/5x5_reduce (124)
I1115 04:16:45.191536 14011 net.cpp:577] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_2
I1115 04:16:45.191540 14011 net.cpp:547] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I1115 04:16:45.192026 14011 net.cpp:265] Setting up inception_4e/5x5_reduce
I1115 04:16:45.192034 14011 net.cpp:272] TEST Top shape for layer 124 'inception_4e/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.192044 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.192047 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.192054 14011 net.cpp:205] Created Layer inception_4e/relu_5x5_reduce (125)
I1115 04:16:45.192057 14011 net.cpp:577] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I1115 04:16:45.192062 14011 net.cpp:532] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I1115 04:16:45.192067 14011 net.cpp:265] Setting up inception_4e/relu_5x5_reduce
I1115 04:16:45.192070 14011 net.cpp:272] TEST Top shape for layer 125 'inception_4e/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.192075 14011 layer_factory.hpp:172] Creating layer 'inception_4e/5x5' of type 'Convolution'
I1115 04:16:45.192080 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.192090 14011 net.cpp:205] Created Layer inception_4e/5x5 (126)
I1115 04:16:45.192093 14011 net.cpp:577] inception_4e/5x5 <- inception_4e/5x5_reduce
I1115 04:16:45.192097 14011 net.cpp:547] inception_4e/5x5 -> inception_4e/5x5
I1115 04:16:45.193904 14011 net.cpp:265] Setting up inception_4e/5x5
I1115 04:16:45.193913 14011 net.cpp:272] TEST Top shape for layer 126 'inception_4e/5x5' 4 128 24 78 (958464)
I1115 04:16:45.193922 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_5x5' of type 'ReLU'
I1115 04:16:45.193925 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.193931 14011 net.cpp:205] Created Layer inception_4e/relu_5x5 (127)
I1115 04:16:45.193935 14011 net.cpp:577] inception_4e/relu_5x5 <- inception_4e/5x5
I1115 04:16:45.193939 14011 net.cpp:532] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I1115 04:16:45.193945 14011 net.cpp:265] Setting up inception_4e/relu_5x5
I1115 04:16:45.193948 14011 net.cpp:272] TEST Top shape for layer 127 'inception_4e/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:45.193953 14011 layer_factory.hpp:172] Creating layer 'inception_4e/pool' of type 'Pooling'
I1115 04:16:45.193976 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.193989 14011 net.cpp:205] Created Layer inception_4e/pool (128)
I1115 04:16:45.193994 14011 net.cpp:577] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_3
I1115 04:16:45.193998 14011 net.cpp:547] inception_4e/pool -> inception_4e/pool
I1115 04:16:45.194046 14011 net.cpp:265] Setting up inception_4e/pool
I1115 04:16:45.194051 14011 net.cpp:272] TEST Top shape for layer 128 'inception_4e/pool' 4 528 24 78 (3953664)
I1115 04:16:45.194056 14011 layer_factory.hpp:172] Creating layer 'inception_4e/pool_proj' of type 'Convolution'
I1115 04:16:45.194061 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.194070 14011 net.cpp:205] Created Layer inception_4e/pool_proj (129)
I1115 04:16:45.194074 14011 net.cpp:577] inception_4e/pool_proj <- inception_4e/pool
I1115 04:16:45.194078 14011 net.cpp:547] inception_4e/pool_proj -> inception_4e/pool_proj
I1115 04:16:45.195317 14011 net.cpp:265] Setting up inception_4e/pool_proj
I1115 04:16:45.195324 14011 net.cpp:272] TEST Top shape for layer 129 'inception_4e/pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.195333 14011 layer_factory.hpp:172] Creating layer 'inception_4e/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.195338 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.195343 14011 net.cpp:205] Created Layer inception_4e/relu_pool_proj (130)
I1115 04:16:45.195348 14011 net.cpp:577] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I1115 04:16:45.195353 14011 net.cpp:532] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I1115 04:16:45.195358 14011 net.cpp:265] Setting up inception_4e/relu_pool_proj
I1115 04:16:45.195360 14011 net.cpp:272] TEST Top shape for layer 130 'inception_4e/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.195365 14011 layer_factory.hpp:172] Creating layer 'inception_4e/output' of type 'Concat'
I1115 04:16:45.195369 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.195376 14011 net.cpp:205] Created Layer inception_4e/output (131)
I1115 04:16:45.195379 14011 net.cpp:577] inception_4e/output <- inception_4e/1x1
I1115 04:16:45.195384 14011 net.cpp:577] inception_4e/output <- inception_4e/3x3
I1115 04:16:45.195387 14011 net.cpp:577] inception_4e/output <- inception_4e/5x5
I1115 04:16:45.195390 14011 net.cpp:577] inception_4e/output <- inception_4e/pool_proj
I1115 04:16:45.195394 14011 net.cpp:547] inception_4e/output -> inception_4e/output
I1115 04:16:45.195416 14011 net.cpp:265] Setting up inception_4e/output
I1115 04:16:45.195420 14011 net.cpp:272] TEST Top shape for layer 131 'inception_4e/output' 4 832 24 78 (6230016)
I1115 04:16:45.195426 14011 layer_factory.hpp:172] Creating layer 'inception_4e/output_inception_4e/output_0_split' of type 'Split'
I1115 04:16:45.195430 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.195437 14011 net.cpp:205] Created Layer inception_4e/output_inception_4e/output_0_split (132)
I1115 04:16:45.195441 14011 net.cpp:577] inception_4e/output_inception_4e/output_0_split <- inception_4e/output
I1115 04:16:45.195446 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_0
I1115 04:16:45.195451 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_1
I1115 04:16:45.195456 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_2
I1115 04:16:45.195461 14011 net.cpp:547] inception_4e/output_inception_4e/output_0_split -> inception_4e/output_inception_4e/output_0_split_3
I1115 04:16:45.195506 14011 net.cpp:265] Setting up inception_4e/output_inception_4e/output_0_split
I1115 04:16:45.195510 14011 net.cpp:272] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.195531 14011 net.cpp:272] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.195538 14011 net.cpp:272] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.195541 14011 net.cpp:272] TEST Top shape for layer 132 'inception_4e/output_inception_4e/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.195546 14011 layer_factory.hpp:172] Creating layer 'inception_5a/1x1' of type 'Convolution'
I1115 04:16:45.195550 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.195561 14011 net.cpp:205] Created Layer inception_5a/1x1 (133)
I1115 04:16:45.195566 14011 net.cpp:577] inception_5a/1x1 <- inception_4e/output_inception_4e/output_0_split_0
I1115 04:16:45.195570 14011 net.cpp:547] inception_5a/1x1 -> inception_5a/1x1
I1115 04:16:45.200395 14011 net.cpp:265] Setting up inception_5a/1x1
I1115 04:16:45.200407 14011 net.cpp:272] TEST Top shape for layer 133 'inception_5a/1x1' 4 256 24 78 (1916928)
I1115 04:16:45.200417 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_1x1' of type 'ReLU'
I1115 04:16:45.200421 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.200428 14011 net.cpp:205] Created Layer inception_5a/relu_1x1 (134)
I1115 04:16:45.200433 14011 net.cpp:577] inception_5a/relu_1x1 <- inception_5a/1x1
I1115 04:16:45.200438 14011 net.cpp:532] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I1115 04:16:45.200443 14011 net.cpp:265] Setting up inception_5a/relu_1x1
I1115 04:16:45.200446 14011 net.cpp:272] TEST Top shape for layer 134 'inception_5a/relu_1x1' 4 256 24 78 (1916928)
I1115 04:16:45.200451 14011 layer_factory.hpp:172] Creating layer 'inception_5a/3x3_reduce' of type 'Convolution'
I1115 04:16:45.200455 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.200467 14011 net.cpp:205] Created Layer inception_5a/3x3_reduce (135)
I1115 04:16:45.200471 14011 net.cpp:577] inception_5a/3x3_reduce <- inception_4e/output_inception_4e/output_0_split_1
I1115 04:16:45.200475 14011 net.cpp:547] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I1115 04:16:45.202754 14011 net.cpp:265] Setting up inception_5a/3x3_reduce
I1115 04:16:45.202761 14011 net.cpp:272] TEST Top shape for layer 135 'inception_5a/3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:45.202770 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.202775 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.202780 14011 net.cpp:205] Created Layer inception_5a/relu_3x3_reduce (136)
I1115 04:16:45.202785 14011 net.cpp:577] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I1115 04:16:45.202788 14011 net.cpp:532] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I1115 04:16:45.202795 14011 net.cpp:265] Setting up inception_5a/relu_3x3_reduce
I1115 04:16:45.202797 14011 net.cpp:272] TEST Top shape for layer 136 'inception_5a/relu_3x3_reduce' 4 160 24 78 (1198080)
I1115 04:16:45.202803 14011 layer_factory.hpp:172] Creating layer 'inception_5a/3x3' of type 'Convolution'
I1115 04:16:45.202807 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.202817 14011 net.cpp:205] Created Layer inception_5a/3x3 (137)
I1115 04:16:45.202821 14011 net.cpp:577] inception_5a/3x3 <- inception_5a/3x3_reduce
I1115 04:16:45.202826 14011 net.cpp:547] inception_5a/3x3 -> inception_5a/3x3
I1115 04:16:45.214709 14011 net.cpp:265] Setting up inception_5a/3x3
I1115 04:16:45.214732 14011 net.cpp:272] TEST Top shape for layer 137 'inception_5a/3x3' 4 320 24 78 (2396160)
I1115 04:16:45.214839 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_3x3' of type 'ReLU'
I1115 04:16:45.214844 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.214876 14011 net.cpp:205] Created Layer inception_5a/relu_3x3 (138)
I1115 04:16:45.214993 14011 net.cpp:577] inception_5a/relu_3x3 <- inception_5a/3x3
I1115 04:16:45.215013 14011 net.cpp:532] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I1115 04:16:45.215020 14011 net.cpp:265] Setting up inception_5a/relu_3x3
I1115 04:16:45.215023 14011 net.cpp:272] TEST Top shape for layer 138 'inception_5a/relu_3x3' 4 320 24 78 (2396160)
I1115 04:16:45.215029 14011 layer_factory.hpp:172] Creating layer 'inception_5a/5x5_reduce' of type 'Convolution'
I1115 04:16:45.215040 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.215063 14011 net.cpp:205] Created Layer inception_5a/5x5_reduce (139)
I1115 04:16:45.215080 14011 net.cpp:577] inception_5a/5x5_reduce <- inception_4e/output_inception_4e/output_0_split_2
I1115 04:16:45.215090 14011 net.cpp:547] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I1115 04:16:45.216078 14011 net.cpp:265] Setting up inception_5a/5x5_reduce
I1115 04:16:45.216085 14011 net.cpp:272] TEST Top shape for layer 139 'inception_5a/5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.216094 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.216099 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.216104 14011 net.cpp:205] Created Layer inception_5a/relu_5x5_reduce (140)
I1115 04:16:45.216109 14011 net.cpp:577] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I1115 04:16:45.216112 14011 net.cpp:532] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I1115 04:16:45.216126 14011 net.cpp:265] Setting up inception_5a/relu_5x5_reduce
I1115 04:16:45.216130 14011 net.cpp:272] TEST Top shape for layer 140 'inception_5a/relu_5x5_reduce' 4 32 24 78 (239616)
I1115 04:16:45.216135 14011 layer_factory.hpp:172] Creating layer 'inception_5a/5x5' of type 'Convolution'
I1115 04:16:45.216140 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.216172 14011 net.cpp:205] Created Layer inception_5a/5x5 (141)
I1115 04:16:45.216176 14011 net.cpp:577] inception_5a/5x5 <- inception_5a/5x5_reduce
I1115 04:16:45.216181 14011 net.cpp:547] inception_5a/5x5 -> inception_5a/5x5
I1115 04:16:45.218097 14011 net.cpp:265] Setting up inception_5a/5x5
I1115 04:16:45.218106 14011 net.cpp:272] TEST Top shape for layer 141 'inception_5a/5x5' 4 128 24 78 (958464)
I1115 04:16:45.218116 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_5x5' of type 'ReLU'
I1115 04:16:45.218125 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.218138 14011 net.cpp:205] Created Layer inception_5a/relu_5x5 (142)
I1115 04:16:45.218143 14011 net.cpp:577] inception_5a/relu_5x5 <- inception_5a/5x5
I1115 04:16:45.218147 14011 net.cpp:532] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I1115 04:16:45.218152 14011 net.cpp:265] Setting up inception_5a/relu_5x5
I1115 04:16:45.218155 14011 net.cpp:272] TEST Top shape for layer 142 'inception_5a/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:45.218161 14011 layer_factory.hpp:172] Creating layer 'inception_5a/pool' of type 'Pooling'
I1115 04:16:45.218164 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.218183 14011 net.cpp:205] Created Layer inception_5a/pool (143)
I1115 04:16:45.218189 14011 net.cpp:577] inception_5a/pool <- inception_4e/output_inception_4e/output_0_split_3
I1115 04:16:45.218192 14011 net.cpp:547] inception_5a/pool -> inception_5a/pool
I1115 04:16:45.218257 14011 net.cpp:265] Setting up inception_5a/pool
I1115 04:16:45.218263 14011 net.cpp:272] TEST Top shape for layer 143 'inception_5a/pool' 4 832 24 78 (6230016)
I1115 04:16:45.218271 14011 layer_factory.hpp:172] Creating layer 'inception_5a/pool_proj' of type 'Convolution'
I1115 04:16:45.218273 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.218305 14011 net.cpp:205] Created Layer inception_5a/pool_proj (144)
I1115 04:16:45.218312 14011 net.cpp:577] inception_5a/pool_proj <- inception_5a/pool
I1115 04:16:45.218315 14011 net.cpp:547] inception_5a/pool_proj -> inception_5a/pool_proj
I1115 04:16:45.220281 14011 net.cpp:265] Setting up inception_5a/pool_proj
I1115 04:16:45.220289 14011 net.cpp:272] TEST Top shape for layer 144 'inception_5a/pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.220299 14011 layer_factory.hpp:172] Creating layer 'inception_5a/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.220309 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.220315 14011 net.cpp:205] Created Layer inception_5a/relu_pool_proj (145)
I1115 04:16:45.220319 14011 net.cpp:577] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I1115 04:16:45.220324 14011 net.cpp:532] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I1115 04:16:45.220329 14011 net.cpp:265] Setting up inception_5a/relu_pool_proj
I1115 04:16:45.220332 14011 net.cpp:272] TEST Top shape for layer 145 'inception_5a/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.220337 14011 layer_factory.hpp:172] Creating layer 'inception_5a/output' of type 'Concat'
I1115 04:16:45.220341 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.220355 14011 net.cpp:205] Created Layer inception_5a/output (146)
I1115 04:16:45.220363 14011 net.cpp:577] inception_5a/output <- inception_5a/1x1
I1115 04:16:45.220374 14011 net.cpp:577] inception_5a/output <- inception_5a/3x3
I1115 04:16:45.220378 14011 net.cpp:577] inception_5a/output <- inception_5a/5x5
I1115 04:16:45.220382 14011 net.cpp:577] inception_5a/output <- inception_5a/pool_proj
I1115 04:16:45.220386 14011 net.cpp:547] inception_5a/output -> inception_5a/output
I1115 04:16:45.220417 14011 net.cpp:265] Setting up inception_5a/output
I1115 04:16:45.220422 14011 net.cpp:272] TEST Top shape for layer 146 'inception_5a/output' 4 832 24 78 (6230016)
I1115 04:16:45.220427 14011 layer_factory.hpp:172] Creating layer 'inception_5a/output_inception_5a/output_0_split' of type 'Split'
I1115 04:16:45.220432 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.220436 14011 net.cpp:205] Created Layer inception_5a/output_inception_5a/output_0_split (147)
I1115 04:16:45.220440 14011 net.cpp:577] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I1115 04:16:45.220445 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I1115 04:16:45.220450 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I1115 04:16:45.220455 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I1115 04:16:45.220459 14011 net.cpp:547] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I1115 04:16:45.220522 14011 net.cpp:265] Setting up inception_5a/output_inception_5a/output_0_split
I1115 04:16:45.220528 14011 net.cpp:272] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.220535 14011 net.cpp:272] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.220538 14011 net.cpp:272] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.220544 14011 net.cpp:272] TEST Top shape for layer 147 'inception_5a/output_inception_5a/output_0_split' 4 832 24 78 (6230016)
I1115 04:16:45.220556 14011 layer_factory.hpp:172] Creating layer 'inception_5b/1x1' of type 'Convolution'
I1115 04:16:45.220561 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.220582 14011 net.cpp:205] Created Layer inception_5b/1x1 (148)
I1115 04:16:45.220600 14011 net.cpp:577] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I1115 04:16:45.220607 14011 net.cpp:547] inception_5b/1x1 -> inception_5b/1x1
I1115 04:16:45.226933 14011 net.cpp:265] Setting up inception_5b/1x1
I1115 04:16:45.226943 14011 net.cpp:272] TEST Top shape for layer 148 'inception_5b/1x1' 4 384 24 78 (2875392)
I1115 04:16:45.226953 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_1x1' of type 'ReLU'
I1115 04:16:45.226956 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.226967 14011 net.cpp:205] Created Layer inception_5b/relu_1x1 (149)
I1115 04:16:45.226972 14011 net.cpp:577] inception_5b/relu_1x1 <- inception_5b/1x1
I1115 04:16:45.226977 14011 net.cpp:532] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I1115 04:16:45.226984 14011 net.cpp:265] Setting up inception_5b/relu_1x1
I1115 04:16:45.226986 14011 net.cpp:272] TEST Top shape for layer 149 'inception_5b/relu_1x1' 4 384 24 78 (2875392)
I1115 04:16:45.226991 14011 layer_factory.hpp:172] Creating layer 'inception_5b/3x3_reduce' of type 'Convolution'
I1115 04:16:45.226995 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.227011 14011 net.cpp:205] Created Layer inception_5b/3x3_reduce (150)
I1115 04:16:45.227016 14011 net.cpp:577] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I1115 04:16:45.227020 14011 net.cpp:547] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I1115 04:16:45.230012 14011 net.cpp:265] Setting up inception_5b/3x3_reduce
I1115 04:16:45.230021 14011 net.cpp:272] TEST Top shape for layer 150 'inception_5b/3x3_reduce' 4 192 24 78 (1437696)
I1115 04:16:45.230031 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3_reduce' of type 'ReLU'
I1115 04:16:45.230039 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.230048 14011 net.cpp:205] Created Layer inception_5b/relu_3x3_reduce (151)
I1115 04:16:45.230053 14011 net.cpp:577] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I1115 04:16:45.230057 14011 net.cpp:532] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I1115 04:16:45.230063 14011 net.cpp:265] Setting up inception_5b/relu_3x3_reduce
I1115 04:16:45.230067 14011 net.cpp:272] TEST Top shape for layer 151 'inception_5b/relu_3x3_reduce' 4 192 24 78 (1437696)
I1115 04:16:45.230072 14011 layer_factory.hpp:172] Creating layer 'inception_5b/3x3' of type 'Convolution'
I1115 04:16:45.230075 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.230098 14011 net.cpp:205] Created Layer inception_5b/3x3 (152)
I1115 04:16:45.230103 14011 net.cpp:577] inception_5b/3x3 <- inception_5b/3x3_reduce
I1115 04:16:45.230106 14011 net.cpp:547] inception_5b/3x3 -> inception_5b/3x3
I1115 04:16:45.242172 14011 net.cpp:265] Setting up inception_5b/3x3
I1115 04:16:45.242183 14011 net.cpp:272] TEST Top shape for layer 152 'inception_5b/3x3' 4 384 24 78 (2875392)
I1115 04:16:45.242193 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_3x3' of type 'ReLU'
I1115 04:16:45.242197 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.242208 14011 net.cpp:205] Created Layer inception_5b/relu_3x3 (153)
I1115 04:16:45.242213 14011 net.cpp:577] inception_5b/relu_3x3 <- inception_5b/3x3
I1115 04:16:45.242218 14011 net.cpp:532] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I1115 04:16:45.242224 14011 net.cpp:265] Setting up inception_5b/relu_3x3
I1115 04:16:45.242228 14011 net.cpp:272] TEST Top shape for layer 153 'inception_5b/relu_3x3' 4 384 24 78 (2875392)
I1115 04:16:45.242233 14011 layer_factory.hpp:172] Creating layer 'inception_5b/5x5_reduce' of type 'Convolution'
I1115 04:16:45.242236 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.242257 14011 net.cpp:205] Created Layer inception_5b/5x5_reduce (154)
I1115 04:16:45.242278 14011 net.cpp:577] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I1115 04:16:45.242285 14011 net.cpp:547] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I1115 04:16:45.243309 14011 net.cpp:265] Setting up inception_5b/5x5_reduce
I1115 04:16:45.243317 14011 net.cpp:272] TEST Top shape for layer 154 'inception_5b/5x5_reduce' 4 48 24 78 (359424)
I1115 04:16:45.243330 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5_reduce' of type 'ReLU'
I1115 04:16:45.243335 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.243341 14011 net.cpp:205] Created Layer inception_5b/relu_5x5_reduce (155)
I1115 04:16:45.243345 14011 net.cpp:577] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I1115 04:16:45.243350 14011 net.cpp:532] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I1115 04:16:45.243355 14011 net.cpp:265] Setting up inception_5b/relu_5x5_reduce
I1115 04:16:45.243358 14011 net.cpp:272] TEST Top shape for layer 155 'inception_5b/relu_5x5_reduce' 4 48 24 78 (359424)
I1115 04:16:45.243363 14011 layer_factory.hpp:172] Creating layer 'inception_5b/5x5' of type 'Convolution'
I1115 04:16:45.243367 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.243393 14011 net.cpp:205] Created Layer inception_5b/5x5 (156)
I1115 04:16:45.243398 14011 net.cpp:577] inception_5b/5x5 <- inception_5b/5x5_reduce
I1115 04:16:45.243402 14011 net.cpp:547] inception_5b/5x5 -> inception_5b/5x5
I1115 04:16:45.247349 14011 net.cpp:265] Setting up inception_5b/5x5
I1115 04:16:45.247359 14011 net.cpp:272] TEST Top shape for layer 156 'inception_5b/5x5' 4 128 24 78 (958464)
I1115 04:16:45.247368 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_5x5' of type 'ReLU'
I1115 04:16:45.247372 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.247385 14011 net.cpp:205] Created Layer inception_5b/relu_5x5 (157)
I1115 04:16:45.247390 14011 net.cpp:577] inception_5b/relu_5x5 <- inception_5b/5x5
I1115 04:16:45.247395 14011 net.cpp:532] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I1115 04:16:45.247400 14011 net.cpp:265] Setting up inception_5b/relu_5x5
I1115 04:16:45.247403 14011 net.cpp:272] TEST Top shape for layer 157 'inception_5b/relu_5x5' 4 128 24 78 (958464)
I1115 04:16:45.247408 14011 layer_factory.hpp:172] Creating layer 'inception_5b/pool' of type 'Pooling'
I1115 04:16:45.247412 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.247426 14011 net.cpp:205] Created Layer inception_5b/pool (158)
I1115 04:16:45.247431 14011 net.cpp:577] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I1115 04:16:45.247436 14011 net.cpp:547] inception_5b/pool -> inception_5b/pool
I1115 04:16:45.247509 14011 net.cpp:265] Setting up inception_5b/pool
I1115 04:16:45.247514 14011 net.cpp:272] TEST Top shape for layer 158 'inception_5b/pool' 4 832 24 78 (6230016)
I1115 04:16:45.247521 14011 layer_factory.hpp:172] Creating layer 'inception_5b/pool_proj' of type 'Convolution'
I1115 04:16:45.247525 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.247534 14011 net.cpp:205] Created Layer inception_5b/pool_proj (159)
I1115 04:16:45.247539 14011 net.cpp:577] inception_5b/pool_proj <- inception_5b/pool
I1115 04:16:45.247543 14011 net.cpp:547] inception_5b/pool_proj -> inception_5b/pool_proj
I1115 04:16:45.249440 14011 net.cpp:265] Setting up inception_5b/pool_proj
I1115 04:16:45.249449 14011 net.cpp:272] TEST Top shape for layer 159 'inception_5b/pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.249457 14011 layer_factory.hpp:172] Creating layer 'inception_5b/relu_pool_proj' of type 'ReLU'
I1115 04:16:45.249461 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.249483 14011 net.cpp:205] Created Layer inception_5b/relu_pool_proj (160)
I1115 04:16:45.249488 14011 net.cpp:577] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I1115 04:16:45.249493 14011 net.cpp:532] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I1115 04:16:45.249500 14011 net.cpp:265] Setting up inception_5b/relu_pool_proj
I1115 04:16:45.249502 14011 net.cpp:272] TEST Top shape for layer 160 'inception_5b/relu_pool_proj' 4 128 24 78 (958464)
I1115 04:16:45.249514 14011 layer_factory.hpp:172] Creating layer 'inception_5b/output' of type 'Concat'
I1115 04:16:45.249518 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.249528 14011 net.cpp:205] Created Layer inception_5b/output (161)
I1115 04:16:45.249532 14011 net.cpp:577] inception_5b/output <- inception_5b/1x1
I1115 04:16:45.249536 14011 net.cpp:577] inception_5b/output <- inception_5b/3x3
I1115 04:16:45.249541 14011 net.cpp:577] inception_5b/output <- inception_5b/5x5
I1115 04:16:45.249544 14011 net.cpp:577] inception_5b/output <- inception_5b/pool_proj
I1115 04:16:45.249547 14011 net.cpp:547] inception_5b/output -> inception_5b/output
I1115 04:16:45.249577 14011 net.cpp:265] Setting up inception_5b/output
I1115 04:16:45.249583 14011 net.cpp:272] TEST Top shape for layer 161 'inception_5b/output' 4 1024 24 78 (7667712)
I1115 04:16:45.249588 14011 layer_factory.hpp:172] Creating layer 'pool5/drop_s1' of type 'Dropout'
I1115 04:16:45.249593 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.249599 14011 net.cpp:205] Created Layer pool5/drop_s1 (162)
I1115 04:16:45.249603 14011 net.cpp:577] pool5/drop_s1 <- inception_5b/output
I1115 04:16:45.249615 14011 net.cpp:547] pool5/drop_s1 -> pool5/drop_s1
I1115 04:16:45.259145 14011 net.cpp:265] Setting up pool5/drop_s1
I1115 04:16:45.259156 14011 net.cpp:272] TEST Top shape for layer 162 'pool5/drop_s1' 4 1024 24 78 (7667712)
I1115 04:16:45.259164 14011 layer_factory.hpp:172] Creating layer 'pool5/drop_s1_pool5/drop_s1_0_split' of type 'Split'
I1115 04:16:45.259168 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.259181 14011 net.cpp:205] Created Layer pool5/drop_s1_pool5/drop_s1_0_split (163)
I1115 04:16:45.259186 14011 net.cpp:577] pool5/drop_s1_pool5/drop_s1_0_split <- pool5/drop_s1
I1115 04:16:45.259191 14011 net.cpp:547] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_0
I1115 04:16:45.259202 14011 net.cpp:547] pool5/drop_s1_pool5/drop_s1_0_split -> pool5/drop_s1_pool5/drop_s1_0_split_1
I1115 04:16:45.259241 14011 net.cpp:265] Setting up pool5/drop_s1_pool5/drop_s1_0_split
I1115 04:16:45.259246 14011 net.cpp:272] TEST Top shape for layer 163 'pool5/drop_s1_pool5/drop_s1_0_split' 4 1024 24 78 (7667712)
I1115 04:16:45.259253 14011 net.cpp:272] TEST Top shape for layer 163 'pool5/drop_s1_pool5/drop_s1_0_split' 4 1024 24 78 (7667712)
I1115 04:16:45.259261 14011 layer_factory.hpp:172] Creating layer 'cvg/classifier' of type 'Convolution'
I1115 04:16:45.259266 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.259275 14011 net.cpp:205] Created Layer cvg/classifier (164)
I1115 04:16:45.259279 14011 net.cpp:577] cvg/classifier <- pool5/drop_s1_pool5/drop_s1_0_split_0
I1115 04:16:45.259297 14011 net.cpp:547] cvg/classifier -> cvg/classifier
I1115 04:16:45.259557 14011 net.cpp:265] Setting up cvg/classifier
I1115 04:16:45.259564 14011 net.cpp:272] TEST Top shape for layer 164 'cvg/classifier' 4 1 24 78 (7488)
I1115 04:16:45.259577 14011 layer_factory.hpp:172] Creating layer 'coverage/sig' of type 'Sigmoid'
I1115 04:16:45.259582 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.259588 14011 net.cpp:205] Created Layer coverage/sig (165)
I1115 04:16:45.259591 14011 net.cpp:577] coverage/sig <- cvg/classifier
I1115 04:16:45.259609 14011 net.cpp:547] coverage/sig -> coverage
I1115 04:16:45.259658 14011 net.cpp:265] Setting up coverage/sig
I1115 04:16:45.259665 14011 net.cpp:272] TEST Top shape for layer 165 'coverage/sig' 4 1 24 78 (7488)
I1115 04:16:45.259671 14011 layer_factory.hpp:172] Creating layer 'coverage_coverage/sig_0_split' of type 'Split'
I1115 04:16:45.259675 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.259688 14011 net.cpp:205] Created Layer coverage_coverage/sig_0_split (166)
I1115 04:16:45.259692 14011 net.cpp:577] coverage_coverage/sig_0_split <- coverage
I1115 04:16:45.259697 14011 net.cpp:547] coverage_coverage/sig_0_split -> coverage_coverage/sig_0_split_0
I1115 04:16:45.259702 14011 net.cpp:547] coverage_coverage/sig_0_split -> coverage_coverage/sig_0_split_1
I1115 04:16:45.259737 14011 net.cpp:265] Setting up coverage_coverage/sig_0_split
I1115 04:16:45.259743 14011 net.cpp:272] TEST Top shape for layer 166 'coverage_coverage/sig_0_split' 4 1 24 78 (7488)
I1115 04:16:45.259748 14011 net.cpp:272] TEST Top shape for layer 166 'coverage_coverage/sig_0_split' 4 1 24 78 (7488)
I1115 04:16:45.259757 14011 layer_factory.hpp:172] Creating layer 'bbox/regressor' of type 'Convolution'
I1115 04:16:45.259761 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.259773 14011 net.cpp:205] Created Layer bbox/regressor (167)
I1115 04:16:45.259778 14011 net.cpp:577] bbox/regressor <- pool5/drop_s1_pool5/drop_s1_0_split_1
I1115 04:16:45.259783 14011 net.cpp:547] bbox/regressor -> bboxes
I1115 04:16:45.260071 14011 net.cpp:265] Setting up bbox/regressor
I1115 04:16:45.260079 14011 net.cpp:272] TEST Top shape for layer 167 'bbox/regressor' 4 4 24 78 (29952)
I1115 04:16:45.260087 14011 layer_factory.hpp:172] Creating layer 'bboxes_bbox/regressor_0_split' of type 'Split'
I1115 04:16:45.260092 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260103 14011 net.cpp:205] Created Layer bboxes_bbox/regressor_0_split (168)
I1115 04:16:45.260108 14011 net.cpp:577] bboxes_bbox/regressor_0_split <- bboxes
I1115 04:16:45.260113 14011 net.cpp:547] bboxes_bbox/regressor_0_split -> bboxes_bbox/regressor_0_split_0
I1115 04:16:45.260118 14011 net.cpp:547] bboxes_bbox/regressor_0_split -> bboxes_bbox/regressor_0_split_1
I1115 04:16:45.260159 14011 net.cpp:265] Setting up bboxes_bbox/regressor_0_split
I1115 04:16:45.260164 14011 net.cpp:272] TEST Top shape for layer 168 'bboxes_bbox/regressor_0_split' 4 4 24 78 (29952)
I1115 04:16:45.260170 14011 net.cpp:272] TEST Top shape for layer 168 'bboxes_bbox/regressor_0_split' 4 4 24 78 (29952)
I1115 04:16:45.260174 14011 layer_factory.hpp:172] Creating layer 'bbox_mask' of type 'Eltwise'
I1115 04:16:45.260179 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260191 14011 net.cpp:205] Created Layer bbox_mask (169)
I1115 04:16:45.260198 14011 net.cpp:577] bbox_mask <- bboxes_bbox/regressor_0_split_0
I1115 04:16:45.260203 14011 net.cpp:577] bbox_mask <- coverage-block
I1115 04:16:45.260215 14011 net.cpp:547] bbox_mask -> bboxes-masked
I1115 04:16:45.260233 14011 net.cpp:265] Setting up bbox_mask
I1115 04:16:45.260237 14011 net.cpp:272] TEST Top shape for layer 169 'bbox_mask' 4 4 24 78 (29952)
I1115 04:16:45.260249 14011 layer_factory.hpp:172] Creating layer 'bbox-norm' of type 'Eltwise'
I1115 04:16:45.260253 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260262 14011 net.cpp:205] Created Layer bbox-norm (170)
I1115 04:16:45.260267 14011 net.cpp:577] bbox-norm <- bboxes-masked
I1115 04:16:45.260272 14011 net.cpp:577] bbox-norm <- size-block_size-block_0_split_1
I1115 04:16:45.260282 14011 net.cpp:547] bbox-norm -> bboxes-masked-norm
I1115 04:16:45.260305 14011 net.cpp:265] Setting up bbox-norm
I1115 04:16:45.260310 14011 net.cpp:272] TEST Top shape for layer 170 'bbox-norm' 4 4 24 78 (29952)
I1115 04:16:45.260315 14011 layer_factory.hpp:172] Creating layer 'bbox-obj-norm' of type 'Eltwise'
I1115 04:16:45.260334 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260344 14011 net.cpp:205] Created Layer bbox-obj-norm (171)
I1115 04:16:45.260349 14011 net.cpp:577] bbox-obj-norm <- bboxes-masked-norm
I1115 04:16:45.260357 14011 net.cpp:577] bbox-obj-norm <- obj-block_obj-block_0_split_1
I1115 04:16:45.260361 14011 net.cpp:547] bbox-obj-norm -> bboxes-obj-masked-norm
I1115 04:16:45.260386 14011 net.cpp:265] Setting up bbox-obj-norm
I1115 04:16:45.260391 14011 net.cpp:272] TEST Top shape for layer 171 'bbox-obj-norm' 4 4 24 78 (29952)
I1115 04:16:45.260397 14011 layer_factory.hpp:172] Creating layer 'bbox_loss' of type 'L1Loss'
I1115 04:16:45.260401 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260412 14011 net.cpp:205] Created Layer bbox_loss (172)
I1115 04:16:45.260416 14011 net.cpp:577] bbox_loss <- bboxes-obj-masked-norm
I1115 04:16:45.260424 14011 net.cpp:577] bbox_loss <- bbox-obj-label-norm
I1115 04:16:45.260429 14011 net.cpp:547] bbox_loss -> loss_bbox
I1115 04:16:45.260476 14011 net.cpp:265] Setting up bbox_loss
I1115 04:16:45.260481 14011 net.cpp:272] TEST Top shape for layer 172 'bbox_loss' (1)
I1115 04:16:45.260485 14011 net.cpp:276]     with loss weight 2
I1115 04:16:45.260501 14011 layer_factory.hpp:172] Creating layer 'coverage_loss' of type 'EuclideanLoss'
I1115 04:16:45.260505 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260512 14011 net.cpp:205] Created Layer coverage_loss (173)
I1115 04:16:45.260516 14011 net.cpp:577] coverage_loss <- coverage_coverage/sig_0_split_0
I1115 04:16:45.260521 14011 net.cpp:577] coverage_loss <- coverage-label_slice-label_4_split_0
I1115 04:16:45.260529 14011 net.cpp:547] coverage_loss -> loss_coverage
I1115 04:16:45.260563 14011 net.cpp:265] Setting up coverage_loss
I1115 04:16:45.260568 14011 net.cpp:272] TEST Top shape for layer 173 'coverage_loss' (1)
I1115 04:16:45.260572 14011 net.cpp:276]     with loss weight 1
I1115 04:16:45.260577 14011 layer_factory.hpp:172] Creating layer 'cluster' of type 'Python'
I1115 04:16:45.260581 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.260756 14011 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:16:45.824677 14011 net.cpp:205] Created Layer cluster (174)
I1115 04:16:45.824726 14011 net.cpp:577] cluster <- coverage_coverage/sig_0_split_1
I1115 04:16:45.824749 14011 net.cpp:577] cluster <- bboxes_bbox/regressor_0_split_1
I1115 04:16:45.824759 14011 net.cpp:547] cluster -> bbox-list
I1115 04:16:45.825076 14011 net.cpp:265] Setting up cluster
I1115 04:16:45.825086 14011 net.cpp:272] TEST Top shape for layer 174 'cluster' 4 50 5 (1000)
I1115 04:16:45.825107 14011 layer_factory.hpp:172] Creating layer 'cluster_gt' of type 'Python'
I1115 04:16:45.825116 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.825153 14011 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:16:45.825181 14011 net.cpp:205] Created Layer cluster_gt (175)
I1115 04:16:45.825186 14011 net.cpp:577] cluster_gt <- coverage-label_slice-label_4_split_1
I1115 04:16:45.825202 14011 net.cpp:577] cluster_gt <- bbox-label_slice-label_1_split_1
I1115 04:16:45.825217 14011 net.cpp:547] cluster_gt -> bbox-list-label
I1115 04:16:45.825398 14011 net.cpp:265] Setting up cluster_gt
I1115 04:16:45.825407 14011 net.cpp:272] TEST Top shape for layer 175 'cluster_gt' 4 50 5 (1000)
I1115 04:16:45.825414 14011 layer_factory.hpp:172] Creating layer 'score' of type 'Python'
I1115 04:16:45.825418 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.825438 14011 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:16:45.825582 14011 net.cpp:205] Created Layer score (176)
I1115 04:16:45.825592 14011 net.cpp:577] score <- bbox-list-label
I1115 04:16:45.825639 14011 net.cpp:577] score <- bbox-list
I1115 04:16:45.825645 14011 net.cpp:547] score -> bbox-list-scored
I1115 04:16:45.825750 14011 net.cpp:265] Setting up score
I1115 04:16:45.825759 14011 net.cpp:272] TEST Top shape for layer 176 'score' 4 50 5 (1000)
I1115 04:16:45.825767 14011 layer_factory.hpp:172] Creating layer 'mAP' of type 'Python'
I1115 04:16:45.825770 14011 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1115 04:16:45.825788 14011 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:16:45.825811 14011 net.cpp:205] Created Layer mAP (177)
I1115 04:16:45.825817 14011 net.cpp:577] mAP <- bbox-list-scored
I1115 04:16:45.825824 14011 net.cpp:547] mAP -> mAP
I1115 04:16:45.825831 14011 net.cpp:547] mAP -> precision
I1115 04:16:45.825839 14011 net.cpp:547] mAP -> recall
I1115 04:16:45.825911 14011 net.cpp:265] Setting up mAP
I1115 04:16:45.825917 14011 net.cpp:272] TEST Top shape for layer 177 'mAP' 1 (1)
I1115 04:16:45.825922 14011 net.cpp:272] TEST Top shape for layer 177 'mAP' 1 (1)
I1115 04:16:45.825927 14011 net.cpp:272] TEST Top shape for layer 177 'mAP' 1 (1)
I1115 04:16:45.825932 14011 net.cpp:343] mAP does not need backward computation.
I1115 04:16:45.825937 14011 net.cpp:343] score does not need backward computation.
I1115 04:16:45.825939 14011 net.cpp:343] cluster_gt does not need backward computation.
I1115 04:16:45.825943 14011 net.cpp:343] cluster does not need backward computation.
I1115 04:16:45.825948 14011 net.cpp:341] coverage_loss needs backward computation.
I1115 04:16:45.825953 14011 net.cpp:341] bbox_loss needs backward computation.
I1115 04:16:45.825958 14011 net.cpp:341] bbox-obj-norm needs backward computation.
I1115 04:16:45.825961 14011 net.cpp:341] bbox-norm needs backward computation.
I1115 04:16:45.825966 14011 net.cpp:341] bbox_mask needs backward computation.
I1115 04:16:45.825971 14011 net.cpp:341] bboxes_bbox/regressor_0_split needs backward computation.
I1115 04:16:45.825975 14011 net.cpp:341] bbox/regressor needs backward computation.
I1115 04:16:45.825979 14011 net.cpp:341] coverage_coverage/sig_0_split needs backward computation.
I1115 04:16:45.825984 14011 net.cpp:341] coverage/sig needs backward computation.
I1115 04:16:45.825987 14011 net.cpp:341] cvg/classifier needs backward computation.
I1115 04:16:45.825991 14011 net.cpp:341] pool5/drop_s1_pool5/drop_s1_0_split needs backward computation.
I1115 04:16:45.825997 14011 net.cpp:341] pool5/drop_s1 needs backward computation.
I1115 04:16:45.826001 14011 net.cpp:341] inception_5b/output needs backward computation.
I1115 04:16:45.826007 14011 net.cpp:341] inception_5b/relu_pool_proj needs backward computation.
I1115 04:16:45.826011 14011 net.cpp:341] inception_5b/pool_proj needs backward computation.
I1115 04:16:45.826015 14011 net.cpp:341] inception_5b/pool needs backward computation.
I1115 04:16:45.826020 14011 net.cpp:341] inception_5b/relu_5x5 needs backward computation.
I1115 04:16:45.826022 14011 net.cpp:341] inception_5b/5x5 needs backward computation.
I1115 04:16:45.826026 14011 net.cpp:341] inception_5b/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826030 14011 net.cpp:341] inception_5b/5x5_reduce needs backward computation.
I1115 04:16:45.826035 14011 net.cpp:341] inception_5b/relu_3x3 needs backward computation.
I1115 04:16:45.826038 14011 net.cpp:341] inception_5b/3x3 needs backward computation.
I1115 04:16:45.826042 14011 net.cpp:341] inception_5b/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826045 14011 net.cpp:341] inception_5b/3x3_reduce needs backward computation.
I1115 04:16:45.826050 14011 net.cpp:341] inception_5b/relu_1x1 needs backward computation.
I1115 04:16:45.826052 14011 net.cpp:341] inception_5b/1x1 needs backward computation.
I1115 04:16:45.826057 14011 net.cpp:341] inception_5a/output_inception_5a/output_0_split needs backward computation.
I1115 04:16:45.826061 14011 net.cpp:341] inception_5a/output needs backward computation.
I1115 04:16:45.826082 14011 net.cpp:341] inception_5a/relu_pool_proj needs backward computation.
I1115 04:16:45.826086 14011 net.cpp:341] inception_5a/pool_proj needs backward computation.
I1115 04:16:45.826090 14011 net.cpp:341] inception_5a/pool needs backward computation.
I1115 04:16:45.826094 14011 net.cpp:341] inception_5a/relu_5x5 needs backward computation.
I1115 04:16:45.826098 14011 net.cpp:341] inception_5a/5x5 needs backward computation.
I1115 04:16:45.826102 14011 net.cpp:341] inception_5a/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826105 14011 net.cpp:341] inception_5a/5x5_reduce needs backward computation.
I1115 04:16:45.826109 14011 net.cpp:341] inception_5a/relu_3x3 needs backward computation.
I1115 04:16:45.826113 14011 net.cpp:341] inception_5a/3x3 needs backward computation.
I1115 04:16:45.826117 14011 net.cpp:341] inception_5a/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826120 14011 net.cpp:341] inception_5a/3x3_reduce needs backward computation.
I1115 04:16:45.826124 14011 net.cpp:341] inception_5a/relu_1x1 needs backward computation.
I1115 04:16:45.826128 14011 net.cpp:341] inception_5a/1x1 needs backward computation.
I1115 04:16:45.826133 14011 net.cpp:341] inception_4e/output_inception_4e/output_0_split needs backward computation.
I1115 04:16:45.826136 14011 net.cpp:341] inception_4e/output needs backward computation.
I1115 04:16:45.826149 14011 net.cpp:341] inception_4e/relu_pool_proj needs backward computation.
I1115 04:16:45.826159 14011 net.cpp:341] inception_4e/pool_proj needs backward computation.
I1115 04:16:45.826169 14011 net.cpp:341] inception_4e/pool needs backward computation.
I1115 04:16:45.826174 14011 net.cpp:341] inception_4e/relu_5x5 needs backward computation.
I1115 04:16:45.826185 14011 net.cpp:341] inception_4e/5x5 needs backward computation.
I1115 04:16:45.826189 14011 net.cpp:341] inception_4e/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826200 14011 net.cpp:341] inception_4e/5x5_reduce needs backward computation.
I1115 04:16:45.826211 14011 net.cpp:341] inception_4e/relu_3x3 needs backward computation.
I1115 04:16:45.826222 14011 net.cpp:341] inception_4e/3x3 needs backward computation.
I1115 04:16:45.826226 14011 net.cpp:341] inception_4e/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826231 14011 net.cpp:341] inception_4e/3x3_reduce needs backward computation.
I1115 04:16:45.826238 14011 net.cpp:341] inception_4e/relu_1x1 needs backward computation.
I1115 04:16:45.826247 14011 net.cpp:341] inception_4e/1x1 needs backward computation.
I1115 04:16:45.826258 14011 net.cpp:341] inception_4d/output_inception_4d/output_0_split needs backward computation.
I1115 04:16:45.826262 14011 net.cpp:341] inception_4d/output needs backward computation.
I1115 04:16:45.826267 14011 net.cpp:341] inception_4d/relu_pool_proj needs backward computation.
I1115 04:16:45.826272 14011 net.cpp:341] inception_4d/pool_proj needs backward computation.
I1115 04:16:45.826278 14011 net.cpp:341] inception_4d/pool needs backward computation.
I1115 04:16:45.826287 14011 net.cpp:341] inception_4d/relu_5x5 needs backward computation.
I1115 04:16:45.826294 14011 net.cpp:341] inception_4d/5x5 needs backward computation.
I1115 04:16:45.826299 14011 net.cpp:341] inception_4d/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826306 14011 net.cpp:341] inception_4d/5x5_reduce needs backward computation.
I1115 04:16:45.826310 14011 net.cpp:341] inception_4d/relu_3x3 needs backward computation.
I1115 04:16:45.826318 14011 net.cpp:341] inception_4d/3x3 needs backward computation.
I1115 04:16:45.826330 14011 net.cpp:341] inception_4d/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826334 14011 net.cpp:341] inception_4d/3x3_reduce needs backward computation.
I1115 04:16:45.826337 14011 net.cpp:341] inception_4d/relu_1x1 needs backward computation.
I1115 04:16:45.826344 14011 net.cpp:341] inception_4d/1x1 needs backward computation.
I1115 04:16:45.826355 14011 net.cpp:341] inception_4c/output_inception_4c/output_0_split needs backward computation.
I1115 04:16:45.826369 14011 net.cpp:341] inception_4c/output needs backward computation.
I1115 04:16:45.826395 14011 net.cpp:341] inception_4c/relu_pool_proj needs backward computation.
I1115 04:16:45.826402 14011 net.cpp:341] inception_4c/pool_proj needs backward computation.
I1115 04:16:45.826411 14011 net.cpp:341] inception_4c/pool needs backward computation.
I1115 04:16:45.826418 14011 net.cpp:341] inception_4c/relu_5x5 needs backward computation.
I1115 04:16:45.826426 14011 net.cpp:341] inception_4c/5x5 needs backward computation.
I1115 04:16:45.826433 14011 net.cpp:341] inception_4c/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826443 14011 net.cpp:341] inception_4c/5x5_reduce needs backward computation.
I1115 04:16:45.826448 14011 net.cpp:341] inception_4c/relu_3x3 needs backward computation.
I1115 04:16:45.826454 14011 net.cpp:341] inception_4c/3x3 needs backward computation.
I1115 04:16:45.826462 14011 net.cpp:341] inception_4c/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826467 14011 net.cpp:341] inception_4c/3x3_reduce needs backward computation.
I1115 04:16:45.826475 14011 net.cpp:341] inception_4c/relu_1x1 needs backward computation.
I1115 04:16:45.826483 14011 net.cpp:341] inception_4c/1x1 needs backward computation.
I1115 04:16:45.826494 14011 net.cpp:341] inception_4b/output_inception_4b/output_0_split needs backward computation.
I1115 04:16:45.826503 14011 net.cpp:341] inception_4b/output needs backward computation.
I1115 04:16:45.826524 14011 net.cpp:341] inception_4b/relu_pool_proj needs backward computation.
I1115 04:16:45.826532 14011 net.cpp:341] inception_4b/pool_proj needs backward computation.
I1115 04:16:45.826544 14011 net.cpp:341] inception_4b/pool needs backward computation.
I1115 04:16:45.826550 14011 net.cpp:341] inception_4b/relu_5x5 needs backward computation.
I1115 04:16:45.826562 14011 net.cpp:341] inception_4b/5x5 needs backward computation.
I1115 04:16:45.826566 14011 net.cpp:341] inception_4b/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826573 14011 net.cpp:341] inception_4b/5x5_reduce needs backward computation.
I1115 04:16:45.826584 14011 net.cpp:341] inception_4b/relu_3x3 needs backward computation.
I1115 04:16:45.826592 14011 net.cpp:341] inception_4b/3x3 needs backward computation.
I1115 04:16:45.826601 14011 net.cpp:341] inception_4b/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826604 14011 net.cpp:341] inception_4b/3x3_reduce needs backward computation.
I1115 04:16:45.826612 14011 net.cpp:341] inception_4b/relu_1x1 needs backward computation.
I1115 04:16:45.826623 14011 net.cpp:341] inception_4b/1x1 needs backward computation.
I1115 04:16:45.826634 14011 net.cpp:341] inception_4a/output_inception_4a/output_0_split needs backward computation.
I1115 04:16:45.826638 14011 net.cpp:341] inception_4a/output needs backward computation.
I1115 04:16:45.826658 14011 net.cpp:341] inception_4a/relu_pool_proj needs backward computation.
I1115 04:16:45.826666 14011 net.cpp:341] inception_4a/pool_proj needs backward computation.
I1115 04:16:45.826674 14011 net.cpp:341] inception_4a/pool needs backward computation.
I1115 04:16:45.826683 14011 net.cpp:341] inception_4a/relu_5x5 needs backward computation.
I1115 04:16:45.826692 14011 net.cpp:341] inception_4a/5x5 needs backward computation.
I1115 04:16:45.826696 14011 net.cpp:341] inception_4a/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826700 14011 net.cpp:341] inception_4a/5x5_reduce needs backward computation.
I1115 04:16:45.826705 14011 net.cpp:341] inception_4a/relu_3x3 needs backward computation.
I1115 04:16:45.826712 14011 net.cpp:341] inception_4a/3x3 needs backward computation.
I1115 04:16:45.826720 14011 net.cpp:341] inception_4a/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826725 14011 net.cpp:341] inception_4a/3x3_reduce needs backward computation.
I1115 04:16:45.826728 14011 net.cpp:341] inception_4a/relu_1x1 needs backward computation.
I1115 04:16:45.826735 14011 net.cpp:341] inception_4a/1x1 needs backward computation.
I1115 04:16:45.826746 14011 net.cpp:341] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I1115 04:16:45.826759 14011 net.cpp:341] pool3/3x3_s2 needs backward computation.
I1115 04:16:45.826768 14011 net.cpp:341] inception_3b/output needs backward computation.
I1115 04:16:45.826789 14011 net.cpp:341] inception_3b/relu_pool_proj needs backward computation.
I1115 04:16:45.826797 14011 net.cpp:341] inception_3b/pool_proj needs backward computation.
I1115 04:16:45.826808 14011 net.cpp:341] inception_3b/pool needs backward computation.
I1115 04:16:45.826817 14011 net.cpp:341] inception_3b/relu_5x5 needs backward computation.
I1115 04:16:45.826824 14011 net.cpp:341] inception_3b/5x5 needs backward computation.
I1115 04:16:45.826828 14011 net.cpp:341] inception_3b/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826836 14011 net.cpp:341] inception_3b/5x5_reduce needs backward computation.
I1115 04:16:45.826850 14011 net.cpp:341] inception_3b/relu_3x3 needs backward computation.
I1115 04:16:45.826858 14011 net.cpp:341] inception_3b/3x3 needs backward computation.
I1115 04:16:45.826866 14011 net.cpp:341] inception_3b/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826870 14011 net.cpp:341] inception_3b/3x3_reduce needs backward computation.
I1115 04:16:45.826877 14011 net.cpp:341] inception_3b/relu_1x1 needs backward computation.
I1115 04:16:45.826885 14011 net.cpp:341] inception_3b/1x1 needs backward computation.
I1115 04:16:45.826897 14011 net.cpp:341] inception_3a/output_inception_3a/output_0_split needs backward computation.
I1115 04:16:45.826902 14011 net.cpp:341] inception_3a/output needs backward computation.
I1115 04:16:45.826918 14011 net.cpp:341] inception_3a/relu_pool_proj needs backward computation.
I1115 04:16:45.826926 14011 net.cpp:341] inception_3a/pool_proj needs backward computation.
I1115 04:16:45.826937 14011 net.cpp:341] inception_3a/pool needs backward computation.
I1115 04:16:45.826941 14011 net.cpp:341] inception_3a/relu_5x5 needs backward computation.
I1115 04:16:45.826949 14011 net.cpp:341] inception_3a/5x5 needs backward computation.
I1115 04:16:45.826956 14011 net.cpp:341] inception_3a/relu_5x5_reduce needs backward computation.
I1115 04:16:45.826963 14011 net.cpp:341] inception_3a/5x5_reduce needs backward computation.
I1115 04:16:45.826977 14011 net.cpp:341] inception_3a/relu_3x3 needs backward computation.
I1115 04:16:45.826984 14011 net.cpp:341] inception_3a/3x3 needs backward computation.
I1115 04:16:45.826989 14011 net.cpp:341] inception_3a/relu_3x3_reduce needs backward computation.
I1115 04:16:45.826993 14011 net.cpp:341] inception_3a/3x3_reduce needs backward computation.
I1115 04:16:45.827001 14011 net.cpp:341] inception_3a/relu_1x1 needs backward computation.
I1115 04:16:45.827011 14011 net.cpp:341] inception_3a/1x1 needs backward computation.
I1115 04:16:45.827019 14011 net.cpp:341] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I1115 04:16:45.827028 14011 net.cpp:341] pool2/3x3_s2 needs backward computation.
I1115 04:16:45.827036 14011 net.cpp:341] conv2/norm2 needs backward computation.
I1115 04:16:45.827040 14011 net.cpp:341] conv2/relu_3x3 needs backward computation.
I1115 04:16:45.827057 14011 net.cpp:341] conv2/3x3 needs backward computation.
I1115 04:16:45.827062 14011 net.cpp:341] conv2/relu_3x3_reduce needs backward computation.
I1115 04:16:45.827069 14011 net.cpp:341] conv2/3x3_reduce needs backward computation.
I1115 04:16:45.827080 14011 net.cpp:341] pool1/norm1 needs backward computation.
I1115 04:16:45.827085 14011 net.cpp:341] pool1/3x3_s2 needs backward computation.
I1115 04:16:45.827090 14011 net.cpp:341] conv1/relu_7x7 needs backward computation.
I1115 04:16:45.827097 14011 net.cpp:341] conv1/7x7_s2 needs backward computation.
I1115 04:16:45.827102 14011 net.cpp:343] bb-obj-norm does not need backward computation.
I1115 04:16:45.827107 14011 net.cpp:343] bb-label-norm does not need backward computation.
I1115 04:16:45.827113 14011 net.cpp:343] obj-block_obj-block_0_split does not need backward computation.
I1115 04:16:45.827117 14011 net.cpp:343] obj-block does not need backward computation.
I1115 04:16:45.827133 14011 net.cpp:343] size-block_size-block_0_split does not need backward computation.
I1115 04:16:45.827138 14011 net.cpp:343] size-block does not need backward computation.
I1115 04:16:45.827143 14011 net.cpp:343] coverage-block does not need backward computation.
I1115 04:16:45.827149 14011 net.cpp:343] coverage-label_slice-label_4_split does not need backward computation.
I1115 04:16:45.827154 14011 net.cpp:343] obj-label_slice-label_3_split does not need backward computation.
I1115 04:16:45.827159 14011 net.cpp:343] size-label_slice-label_2_split does not need backward computation.
I1115 04:16:45.827164 14011 net.cpp:343] bbox-label_slice-label_1_split does not need backward computation.
I1115 04:16:45.827173 14011 net.cpp:343] foreground-label_slice-label_0_split does not need backward computation.
I1115 04:16:45.827179 14011 net.cpp:343] slice-label does not need backward computation.
I1115 04:16:45.827191 14011 net.cpp:343] val_transform does not need backward computation.
I1115 04:16:45.827204 14011 net.cpp:343] val_label does not need backward computation.
I1115 04:16:45.827208 14011 net.cpp:343] val_data does not need backward computation.
I1115 04:16:45.827211 14011 net.cpp:385] This network produces output loss_bbox
I1115 04:16:45.827216 14011 net.cpp:385] This network produces output loss_coverage
I1115 04:16:45.827220 14011 net.cpp:385] This network produces output mAP
I1115 04:16:45.827224 14011 net.cpp:385] This network produces output precision
I1115 04:16:45.827227 14011 net.cpp:385] This network produces output recall
I1115 04:16:45.827841 14011 net.cpp:408] Top memory (TEST) required for data: 2549770760 diff: 2549770760
I1115 04:16:45.827848 14011 net.cpp:411] Bottom memory (TEST) required for data: 2549770720 diff: 2549770720
I1115 04:16:45.827852 14011 net.cpp:414] Shared (in-place) memory (TEST) by data: 544407552 diff: 544407552
I1115 04:16:45.827857 14011 net.cpp:417] Parameters memory (TEST) required for data: 23914712 diff: 23914712
I1115 04:16:45.827859 14011 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I1115 04:16:45.827863 14011 net.cpp:426] Network initialization done.
I1115 04:16:45.829387 14011 solver.cpp:54] Solver scaffolding done.
I1115 04:16:45.834761 14011 caffe.cpp:151] Finetuning from /data/DIGITS/KITTI/bvlc_googlenet.caffemodel
I1115 04:16:45.883065 14011 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /data/DIGITS/KITTI/bvlc_googlenet.caffemodel
I1115 04:16:45.970513 14011 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I1115 04:16:45.970772 14011 net.cpp:1135] Ignoring source layer data
I1115 04:16:45.970780 14011 net.cpp:1135] Ignoring source layer label_data_1_split
I1115 04:16:45.970784 14011 net.cpp:1143] Copying source layer conv1/7x7_s2 Type:Convolution #blobs=2
I1115 04:16:45.970937 14011 net.cpp:1143] Copying source layer conv1/relu_7x7 Type:ReLU #blobs=0
I1115 04:16:45.970943 14011 net.cpp:1143] Copying source layer pool1/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:45.970947 14011 net.cpp:1143] Copying source layer pool1/norm1 Type:LRN #blobs=0
I1115 04:16:45.970952 14011 net.cpp:1143] Copying source layer conv2/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.971029 14011 net.cpp:1143] Copying source layer conv2/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.971032 14011 net.cpp:1143] Copying source layer conv2/3x3 Type:Convolution #blobs=2
I1115 04:16:45.972426 14011 net.cpp:1143] Copying source layer conv2/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.972431 14011 net.cpp:1143] Copying source layer conv2/norm2 Type:LRN #blobs=0
I1115 04:16:45.972435 14011 net.cpp:1143] Copying source layer pool2/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:45.972440 14011 net.cpp:1143] Copying source layer pool2/3x3_s2_pool2/3x3_s2_0_split Type:Split #blobs=0
I1115 04:16:45.972443 14011 net.cpp:1143] Copying source layer inception_3a/1x1 Type:Convolution #blobs=2
I1115 04:16:45.972635 14011 net.cpp:1143] Copying source layer inception_3a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.972689 14011 net.cpp:1143] Copying source layer inception_3a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.972967 14011 net.cpp:1143] Copying source layer inception_3a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.972973 14011 net.cpp:1143] Copying source layer inception_3a/3x3 Type:Convolution #blobs=2
I1115 04:16:45.974359 14011 net.cpp:1143] Copying source layer inception_3a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.974365 14011 net.cpp:1143] Copying source layer inception_3a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:45.974421 14011 net.cpp:1143] Copying source layer inception_3a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:45.974426 14011 net.cpp:1143] Copying source layer inception_3a/5x5 Type:Convolution #blobs=2
I1115 04:16:45.974614 14011 net.cpp:1143] Copying source layer inception_3a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:45.974619 14011 net.cpp:1143] Copying source layer inception_3a/pool Type:Pooling #blobs=0
I1115 04:16:45.974622 14011 net.cpp:1143] Copying source layer inception_3a/pool_proj Type:Convolution #blobs=2
I1115 04:16:45.974716 14011 net.cpp:1143] Copying source layer inception_3a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:45.974720 14011 net.cpp:1143] Copying source layer inception_3a/output Type:Concat #blobs=0
I1115 04:16:45.974723 14011 net.cpp:1143] Copying source layer inception_3a/output_inception_3a/output_0_split Type:Split #blobs=0
I1115 04:16:45.974727 14011 net.cpp:1143] Copying source layer inception_3b/1x1 Type:Convolution #blobs=2
I1115 04:16:45.975183 14011 net.cpp:1143] Copying source layer inception_3b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.975188 14011 net.cpp:1143] Copying source layer inception_3b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.975636 14011 net.cpp:1143] Copying source layer inception_3b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.975641 14011 net.cpp:1143] Copying source layer inception_3b/3x3 Type:Convolution #blobs=2
I1115 04:16:45.978853 14011 net.cpp:1143] Copying source layer inception_3b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.978859 14011 net.cpp:1143] Copying source layer inception_3b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:45.978989 14011 net.cpp:1143] Copying source layer inception_3b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:45.978993 14011 net.cpp:1143] Copying source layer inception_3b/5x5 Type:Convolution #blobs=2
I1115 04:16:45.979988 14011 net.cpp:1143] Copying source layer inception_3b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:45.979995 14011 net.cpp:1143] Copying source layer inception_3b/pool Type:Pooling #blobs=0
I1115 04:16:45.980000 14011 net.cpp:1143] Copying source layer inception_3b/pool_proj Type:Convolution #blobs=2
I1115 04:16:45.980270 14011 net.cpp:1143] Copying source layer inception_3b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:45.980275 14011 net.cpp:1143] Copying source layer inception_3b/output Type:Concat #blobs=0
I1115 04:16:45.980278 14011 net.cpp:1143] Copying source layer pool3/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:45.980283 14011 net.cpp:1143] Copying source layer pool3/3x3_s2_pool3/3x3_s2_0_split Type:Split #blobs=0
I1115 04:16:45.980286 14011 net.cpp:1143] Copying source layer inception_4a/1x1 Type:Convolution #blobs=2
I1115 04:16:45.981509 14011 net.cpp:1143] Copying source layer inception_4a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.981515 14011 net.cpp:1143] Copying source layer inception_4a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.982134 14011 net.cpp:1143] Copying source layer inception_4a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.982141 14011 net.cpp:1143] Copying source layer inception_4a/3x3 Type:Convolution #blobs=2
I1115 04:16:45.984357 14011 net.cpp:1143] Copying source layer inception_4a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.984364 14011 net.cpp:1143] Copying source layer inception_4a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:45.984483 14011 net.cpp:1143] Copying source layer inception_4a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:45.984488 14011 net.cpp:1143] Copying source layer inception_4a/5x5 Type:Convolution #blobs=2
I1115 04:16:45.984822 14011 net.cpp:1143] Copying source layer inception_4a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:45.984830 14011 net.cpp:1143] Copying source layer inception_4a/pool Type:Pooling #blobs=0
I1115 04:16:45.984834 14011 net.cpp:1143] Copying source layer inception_4a/pool_proj Type:Convolution #blobs=2
I1115 04:16:45.985299 14011 net.cpp:1143] Copying source layer inception_4a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:45.985306 14011 net.cpp:1143] Copying source layer inception_4a/output Type:Concat #blobs=0
I1115 04:16:45.985308 14011 net.cpp:1143] Copying source layer inception_4a/output_inception_4a/output_0_split Type:Split #blobs=0
I1115 04:16:45.985312 14011 net.cpp:1135] Ignoring source layer loss1/ave_pool
I1115 04:16:45.985316 14011 net.cpp:1135] Ignoring source layer loss1/conv
I1115 04:16:45.985319 14011 net.cpp:1135] Ignoring source layer loss1/relu_conv
I1115 04:16:45.985323 14011 net.cpp:1135] Ignoring source layer loss1/fc
I1115 04:16:45.985327 14011 net.cpp:1135] Ignoring source layer loss1/relu_fc
I1115 04:16:45.985330 14011 net.cpp:1135] Ignoring source layer loss1/drop_fc
I1115 04:16:45.985335 14011 net.cpp:1135] Ignoring source layer loss1/classifier
I1115 04:16:45.985338 14011 net.cpp:1135] Ignoring source layer loss1/loss
I1115 04:16:45.985342 14011 net.cpp:1143] Copying source layer inception_4b/1x1 Type:Convolution #blobs=2
I1115 04:16:45.986392 14011 net.cpp:1143] Copying source layer inception_4b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.986397 14011 net.cpp:1143] Copying source layer inception_4b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.987151 14011 net.cpp:1143] Copying source layer inception_4b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.987157 14011 net.cpp:1143] Copying source layer inception_4b/3x3 Type:Convolution #blobs=2
I1115 04:16:45.989996 14011 net.cpp:1143] Copying source layer inception_4b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.990002 14011 net.cpp:1143] Copying source layer inception_4b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:45.990188 14011 net.cpp:1143] Copying source layer inception_4b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:45.990193 14011 net.cpp:1143] Copying source layer inception_4b/5x5 Type:Convolution #blobs=2
I1115 04:16:45.990717 14011 net.cpp:1143] Copying source layer inception_4b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:45.990723 14011 net.cpp:1143] Copying source layer inception_4b/pool Type:Pooling #blobs=0
I1115 04:16:45.990727 14011 net.cpp:1143] Copying source layer inception_4b/pool_proj Type:Convolution #blobs=2
I1115 04:16:45.991169 14011 net.cpp:1143] Copying source layer inception_4b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:45.991175 14011 net.cpp:1143] Copying source layer inception_4b/output Type:Concat #blobs=0
I1115 04:16:45.991179 14011 net.cpp:1143] Copying source layer inception_4b/output_inception_4b/output_0_split Type:Split #blobs=0
I1115 04:16:45.991183 14011 net.cpp:1143] Copying source layer inception_4c/1x1 Type:Convolution #blobs=2
I1115 04:16:45.992022 14011 net.cpp:1143] Copying source layer inception_4c/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.992028 14011 net.cpp:1143] Copying source layer inception_4c/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.992902 14011 net.cpp:1143] Copying source layer inception_4c/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.992908 14011 net.cpp:1143] Copying source layer inception_4c/3x3 Type:Convolution #blobs=2
I1115 04:16:45.996542 14011 net.cpp:1143] Copying source layer inception_4c/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:45.996548 14011 net.cpp:1143] Copying source layer inception_4c/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:45.996732 14011 net.cpp:1143] Copying source layer inception_4c/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:45.996737 14011 net.cpp:1143] Copying source layer inception_4c/5x5 Type:Convolution #blobs=2
I1115 04:16:45.997300 14011 net.cpp:1143] Copying source layer inception_4c/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:45.997308 14011 net.cpp:1143] Copying source layer inception_4c/pool Type:Pooling #blobs=0
I1115 04:16:45.997323 14011 net.cpp:1143] Copying source layer inception_4c/pool_proj Type:Convolution #blobs=2
I1115 04:16:45.997797 14011 net.cpp:1143] Copying source layer inception_4c/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:45.997803 14011 net.cpp:1143] Copying source layer inception_4c/output Type:Concat #blobs=0
I1115 04:16:45.997807 14011 net.cpp:1143] Copying source layer inception_4c/output_inception_4c/output_0_split Type:Split #blobs=0
I1115 04:16:45.997812 14011 net.cpp:1143] Copying source layer inception_4d/1x1 Type:Convolution #blobs=2
I1115 04:16:45.998565 14011 net.cpp:1143] Copying source layer inception_4d/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:45.998571 14011 net.cpp:1143] Copying source layer inception_4d/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:45.999507 14011 net.cpp:1143] Copying source layer inception_4d/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:45.999513 14011 net.cpp:1143] Copying source layer inception_4d/3x3 Type:Convolution #blobs=2
I1115 04:16:46.004156 14011 net.cpp:1143] Copying source layer inception_4d/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.004163 14011 net.cpp:1143] Copying source layer inception_4d/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.004405 14011 net.cpp:1143] Copying source layer inception_4d/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.004410 14011 net.cpp:1143] Copying source layer inception_4d/5x5 Type:Convolution #blobs=2
I1115 04:16:46.005231 14011 net.cpp:1143] Copying source layer inception_4d/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.005239 14011 net.cpp:1143] Copying source layer inception_4d/pool Type:Pooling #blobs=0
I1115 04:16:46.005241 14011 net.cpp:1143] Copying source layer inception_4d/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.005743 14011 net.cpp:1143] Copying source layer inception_4d/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.005749 14011 net.cpp:1143] Copying source layer inception_4d/output Type:Concat #blobs=0
I1115 04:16:46.005753 14011 net.cpp:1143] Copying source layer inception_4d/output_inception_4d/output_0_split Type:Split #blobs=0
I1115 04:16:46.005758 14011 net.cpp:1135] Ignoring source layer loss2/ave_pool
I1115 04:16:46.005760 14011 net.cpp:1135] Ignoring source layer loss2/conv
I1115 04:16:46.005764 14011 net.cpp:1135] Ignoring source layer loss2/relu_conv
I1115 04:16:46.005767 14011 net.cpp:1135] Ignoring source layer loss2/fc
I1115 04:16:46.005771 14011 net.cpp:1135] Ignoring source layer loss2/relu_fc
I1115 04:16:46.005774 14011 net.cpp:1135] Ignoring source layer loss2/drop_fc
I1115 04:16:46.005779 14011 net.cpp:1135] Ignoring source layer loss2/classifier
I1115 04:16:46.005781 14011 net.cpp:1135] Ignoring source layer loss2/loss
I1115 04:16:46.005785 14011 net.cpp:1143] Copying source layer inception_4e/1x1 Type:Convolution #blobs=2
I1115 04:16:46.007473 14011 net.cpp:1143] Copying source layer inception_4e/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.007478 14011 net.cpp:1143] Copying source layer inception_4e/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.008536 14011 net.cpp:1143] Copying source layer inception_4e/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.008541 14011 net.cpp:1143] Copying source layer inception_4e/3x3 Type:Convolution #blobs=2
I1115 04:16:46.014366 14011 net.cpp:1143] Copying source layer inception_4e/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.014374 14011 net.cpp:1143] Copying source layer inception_4e/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.014621 14011 net.cpp:1143] Copying source layer inception_4e/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.014626 14011 net.cpp:1143] Copying source layer inception_4e/5x5 Type:Convolution #blobs=2
I1115 04:16:46.015913 14011 net.cpp:1143] Copying source layer inception_4e/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.015918 14011 net.cpp:1143] Copying source layer inception_4e/pool Type:Pooling #blobs=0
I1115 04:16:46.015923 14011 net.cpp:1143] Copying source layer inception_4e/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.016808 14011 net.cpp:1143] Copying source layer inception_4e/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.016814 14011 net.cpp:1143] Copying source layer inception_4e/output Type:Concat #blobs=0
I1115 04:16:46.016818 14011 net.cpp:1135] Ignoring source layer pool4/3x3_s2
I1115 04:16:46.016820 14011 net.cpp:1135] Ignoring source layer pool4/3x3_s2_pool4/3x3_s2_0_split
I1115 04:16:46.016824 14011 net.cpp:1143] Copying source layer inception_5a/1x1 Type:Convolution #blobs=2
I1115 04:16:46.019448 14011 net.cpp:1143] Copying source layer inception_5a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.019454 14011 net.cpp:1143] Copying source layer inception_5a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.021163 14011 net.cpp:1143] Copying source layer inception_5a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.021169 14011 net.cpp:1143] Copying source layer inception_5a/3x3 Type:Convolution #blobs=2
I1115 04:16:46.027628 14011 net.cpp:1143] Copying source layer inception_5a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.027634 14011 net.cpp:1143] Copying source layer inception_5a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.028007 14011 net.cpp:1143] Copying source layer inception_5a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.028012 14011 net.cpp:1143] Copying source layer inception_5a/5x5 Type:Convolution #blobs=2
I1115 04:16:46.029342 14011 net.cpp:1143] Copying source layer inception_5a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.029348 14011 net.cpp:1143] Copying source layer inception_5a/pool Type:Pooling #blobs=0
I1115 04:16:46.029352 14011 net.cpp:1143] Copying source layer inception_5a/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.030689 14011 net.cpp:1143] Copying source layer inception_5a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.030695 14011 net.cpp:1143] Copying source layer inception_5a/output Type:Concat #blobs=0
I1115 04:16:46.030704 14011 net.cpp:1143] Copying source layer inception_5a/output_inception_5a/output_0_split Type:Split #blobs=0
I1115 04:16:46.030711 14011 net.cpp:1143] Copying source layer inception_5b/1x1 Type:Convolution #blobs=2
I1115 04:16:46.034682 14011 net.cpp:1143] Copying source layer inception_5b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.034688 14011 net.cpp:1143] Copying source layer inception_5b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.036676 14011 net.cpp:1143] Copying source layer inception_5b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.036682 14011 net.cpp:1143] Copying source layer inception_5b/3x3 Type:Convolution #blobs=2
I1115 04:16:46.044906 14011 net.cpp:1143] Copying source layer inception_5b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.044914 14011 net.cpp:1143] Copying source layer inception_5b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.045447 14011 net.cpp:1143] Copying source layer inception_5b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.045454 14011 net.cpp:1143] Copying source layer inception_5b/5x5 Type:Convolution #blobs=2
I1115 04:16:46.047389 14011 net.cpp:1143] Copying source layer inception_5b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.047396 14011 net.cpp:1143] Copying source layer inception_5b/pool Type:Pooling #blobs=0
I1115 04:16:46.047400 14011 net.cpp:1143] Copying source layer inception_5b/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.048733 14011 net.cpp:1143] Copying source layer inception_5b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.048739 14011 net.cpp:1143] Copying source layer inception_5b/output Type:Concat #blobs=0
I1115 04:16:46.048748 14011 net.cpp:1135] Ignoring source layer pool5/7x7_s1
I1115 04:16:46.048751 14011 net.cpp:1135] Ignoring source layer pool5/drop_7x7_s1
I1115 04:16:46.048755 14011 net.cpp:1135] Ignoring source layer loss3/classifier
I1115 04:16:46.048758 14011 net.cpp:1135] Ignoring source layer loss3/loss3
I1115 04:16:46.077966 14011 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /data/DIGITS/KITTI/bvlc_googlenet.caffemodel
I1115 04:16:46.125074 14011 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I1115 04:16:46.125330 14011 net.cpp:1135] Ignoring source layer data
I1115 04:16:46.125337 14011 net.cpp:1135] Ignoring source layer label_data_1_split
I1115 04:16:46.125342 14011 net.cpp:1143] Copying source layer conv1/7x7_s2 Type:Convolution #blobs=2
I1115 04:16:46.125491 14011 net.cpp:1143] Copying source layer conv1/relu_7x7 Type:ReLU #blobs=0
I1115 04:16:46.125495 14011 net.cpp:1143] Copying source layer pool1/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:46.125499 14011 net.cpp:1143] Copying source layer pool1/norm1 Type:LRN #blobs=0
I1115 04:16:46.125504 14011 net.cpp:1143] Copying source layer conv2/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.125569 14011 net.cpp:1143] Copying source layer conv2/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.125573 14011 net.cpp:1143] Copying source layer conv2/3x3 Type:Convolution #blobs=2
I1115 04:16:46.126960 14011 net.cpp:1143] Copying source layer conv2/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.126965 14011 net.cpp:1143] Copying source layer conv2/norm2 Type:LRN #blobs=0
I1115 04:16:46.126968 14011 net.cpp:1143] Copying source layer pool2/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:46.126971 14011 net.cpp:1143] Copying source layer pool2/3x3_s2_pool2/3x3_s2_0_split Type:Split #blobs=0
I1115 04:16:46.126976 14011 net.cpp:1143] Copying source layer inception_3a/1x1 Type:Convolution #blobs=2
I1115 04:16:46.127158 14011 net.cpp:1143] Copying source layer inception_3a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.127163 14011 net.cpp:1143] Copying source layer inception_3a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.127432 14011 net.cpp:1143] Copying source layer inception_3a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.127437 14011 net.cpp:1143] Copying source layer inception_3a/3x3 Type:Convolution #blobs=2
I1115 04:16:46.128854 14011 net.cpp:1143] Copying source layer inception_3a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.128859 14011 net.cpp:1143] Copying source layer inception_3a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.128912 14011 net.cpp:1143] Copying source layer inception_3a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.128916 14011 net.cpp:1143] Copying source layer inception_3a/5x5 Type:Convolution #blobs=2
I1115 04:16:46.129091 14011 net.cpp:1143] Copying source layer inception_3a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.129096 14011 net.cpp:1143] Copying source layer inception_3a/pool Type:Pooling #blobs=0
I1115 04:16:46.129099 14011 net.cpp:1143] Copying source layer inception_3a/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.129194 14011 net.cpp:1143] Copying source layer inception_3a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.129199 14011 net.cpp:1143] Copying source layer inception_3a/output Type:Concat #blobs=0
I1115 04:16:46.129202 14011 net.cpp:1143] Copying source layer inception_3a/output_inception_3a/output_0_split Type:Split #blobs=0
I1115 04:16:46.129206 14011 net.cpp:1143] Copying source layer inception_3b/1x1 Type:Convolution #blobs=2
I1115 04:16:46.129659 14011 net.cpp:1143] Copying source layer inception_3b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.129665 14011 net.cpp:1143] Copying source layer inception_3b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.130121 14011 net.cpp:1143] Copying source layer inception_3b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.130126 14011 net.cpp:1143] Copying source layer inception_3b/3x3 Type:Convolution #blobs=2
I1115 04:16:46.132879 14011 net.cpp:1143] Copying source layer inception_3b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.132885 14011 net.cpp:1143] Copying source layer inception_3b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.133008 14011 net.cpp:1143] Copying source layer inception_3b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.133013 14011 net.cpp:1143] Copying source layer inception_3b/5x5 Type:Convolution #blobs=2
I1115 04:16:46.133991 14011 net.cpp:1143] Copying source layer inception_3b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.133996 14011 net.cpp:1143] Copying source layer inception_3b/pool Type:Pooling #blobs=0
I1115 04:16:46.134016 14011 net.cpp:1143] Copying source layer inception_3b/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.134256 14011 net.cpp:1143] Copying source layer inception_3b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.134260 14011 net.cpp:1143] Copying source layer inception_3b/output Type:Concat #blobs=0
I1115 04:16:46.134264 14011 net.cpp:1143] Copying source layer pool3/3x3_s2 Type:Pooling #blobs=0
I1115 04:16:46.134268 14011 net.cpp:1143] Copying source layer pool3/3x3_s2_pool3/3x3_s2_0_split Type:Split #blobs=0
I1115 04:16:46.134272 14011 net.cpp:1143] Copying source layer inception_4a/1x1 Type:Convolution #blobs=2
I1115 04:16:46.135445 14011 net.cpp:1143] Copying source layer inception_4a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.135452 14011 net.cpp:1143] Copying source layer inception_4a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.136054 14011 net.cpp:1143] Copying source layer inception_4a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.136059 14011 net.cpp:1143] Copying source layer inception_4a/3x3 Type:Convolution #blobs=2
I1115 04:16:46.138335 14011 net.cpp:1143] Copying source layer inception_4a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.138341 14011 net.cpp:1143] Copying source layer inception_4a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.138458 14011 net.cpp:1143] Copying source layer inception_4a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.138463 14011 net.cpp:1143] Copying source layer inception_4a/5x5 Type:Convolution #blobs=2
I1115 04:16:46.138742 14011 net.cpp:1143] Copying source layer inception_4a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.138747 14011 net.cpp:1143] Copying source layer inception_4a/pool Type:Pooling #blobs=0
I1115 04:16:46.138751 14011 net.cpp:1143] Copying source layer inception_4a/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.139165 14011 net.cpp:1143] Copying source layer inception_4a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.139171 14011 net.cpp:1143] Copying source layer inception_4a/output Type:Concat #blobs=0
I1115 04:16:46.139175 14011 net.cpp:1143] Copying source layer inception_4a/output_inception_4a/output_0_split Type:Split #blobs=0
I1115 04:16:46.139178 14011 net.cpp:1135] Ignoring source layer loss1/ave_pool
I1115 04:16:46.139183 14011 net.cpp:1135] Ignoring source layer loss1/conv
I1115 04:16:46.139185 14011 net.cpp:1135] Ignoring source layer loss1/relu_conv
I1115 04:16:46.139189 14011 net.cpp:1135] Ignoring source layer loss1/fc
I1115 04:16:46.139192 14011 net.cpp:1135] Ignoring source layer loss1/relu_fc
I1115 04:16:46.139195 14011 net.cpp:1135] Ignoring source layer loss1/drop_fc
I1115 04:16:46.139200 14011 net.cpp:1135] Ignoring source layer loss1/classifier
I1115 04:16:46.139204 14011 net.cpp:1135] Ignoring source layer loss1/loss
I1115 04:16:46.139207 14011 net.cpp:1143] Copying source layer inception_4b/1x1 Type:Convolution #blobs=2
I1115 04:16:46.140255 14011 net.cpp:1143] Copying source layer inception_4b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.140261 14011 net.cpp:1143] Copying source layer inception_4b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.141050 14011 net.cpp:1143] Copying source layer inception_4b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.141057 14011 net.cpp:1143] Copying source layer inception_4b/3x3 Type:Convolution #blobs=2
I1115 04:16:46.143839 14011 net.cpp:1143] Copying source layer inception_4b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.143846 14011 net.cpp:1143] Copying source layer inception_4b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.144024 14011 net.cpp:1143] Copying source layer inception_4b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.144029 14011 net.cpp:1143] Copying source layer inception_4b/5x5 Type:Convolution #blobs=2
I1115 04:16:46.144546 14011 net.cpp:1143] Copying source layer inception_4b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.144551 14011 net.cpp:1143] Copying source layer inception_4b/pool Type:Pooling #blobs=0
I1115 04:16:46.144554 14011 net.cpp:1143] Copying source layer inception_4b/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.145037 14011 net.cpp:1143] Copying source layer inception_4b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.145043 14011 net.cpp:1143] Copying source layer inception_4b/output Type:Concat #blobs=0
I1115 04:16:46.145047 14011 net.cpp:1143] Copying source layer inception_4b/output_inception_4b/output_0_split Type:Split #blobs=0
I1115 04:16:46.145051 14011 net.cpp:1143] Copying source layer inception_4c/1x1 Type:Convolution #blobs=2
I1115 04:16:46.145892 14011 net.cpp:1143] Copying source layer inception_4c/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.145898 14011 net.cpp:1143] Copying source layer inception_4c/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.146742 14011 net.cpp:1143] Copying source layer inception_4c/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.146749 14011 net.cpp:1143] Copying source layer inception_4c/3x3 Type:Convolution #blobs=2
I1115 04:16:46.150409 14011 net.cpp:1143] Copying source layer inception_4c/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.150415 14011 net.cpp:1143] Copying source layer inception_4c/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.150599 14011 net.cpp:1143] Copying source layer inception_4c/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.150604 14011 net.cpp:1143] Copying source layer inception_4c/5x5 Type:Convolution #blobs=2
I1115 04:16:46.151118 14011 net.cpp:1143] Copying source layer inception_4c/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.151124 14011 net.cpp:1143] Copying source layer inception_4c/pool Type:Pooling #blobs=0
I1115 04:16:46.151127 14011 net.cpp:1143] Copying source layer inception_4c/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.151564 14011 net.cpp:1143] Copying source layer inception_4c/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.151571 14011 net.cpp:1143] Copying source layer inception_4c/output Type:Concat #blobs=0
I1115 04:16:46.151574 14011 net.cpp:1143] Copying source layer inception_4c/output_inception_4c/output_0_split Type:Split #blobs=0
I1115 04:16:46.151578 14011 net.cpp:1143] Copying source layer inception_4d/1x1 Type:Convolution #blobs=2
I1115 04:16:46.152315 14011 net.cpp:1143] Copying source layer inception_4d/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.152321 14011 net.cpp:1143] Copying source layer inception_4d/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.153308 14011 net.cpp:1143] Copying source layer inception_4d/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.153314 14011 net.cpp:1143] Copying source layer inception_4d/3x3 Type:Convolution #blobs=2
I1115 04:16:46.157997 14011 net.cpp:1143] Copying source layer inception_4d/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.158004 14011 net.cpp:1143] Copying source layer inception_4d/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.158244 14011 net.cpp:1143] Copying source layer inception_4d/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.158249 14011 net.cpp:1143] Copying source layer inception_4d/5x5 Type:Convolution #blobs=2
I1115 04:16:46.159036 14011 net.cpp:1143] Copying source layer inception_4d/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.159041 14011 net.cpp:1143] Copying source layer inception_4d/pool Type:Pooling #blobs=0
I1115 04:16:46.159045 14011 net.cpp:1143] Copying source layer inception_4d/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.159492 14011 net.cpp:1143] Copying source layer inception_4d/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.159498 14011 net.cpp:1143] Copying source layer inception_4d/output Type:Concat #blobs=0
I1115 04:16:46.159502 14011 net.cpp:1143] Copying source layer inception_4d/output_inception_4d/output_0_split Type:Split #blobs=0
I1115 04:16:46.159507 14011 net.cpp:1135] Ignoring source layer loss2/ave_pool
I1115 04:16:46.159509 14011 net.cpp:1135] Ignoring source layer loss2/conv
I1115 04:16:46.159512 14011 net.cpp:1135] Ignoring source layer loss2/relu_conv
I1115 04:16:46.159516 14011 net.cpp:1135] Ignoring source layer loss2/fc
I1115 04:16:46.159519 14011 net.cpp:1135] Ignoring source layer loss2/relu_fc
I1115 04:16:46.159523 14011 net.cpp:1135] Ignoring source layer loss2/drop_fc
I1115 04:16:46.159551 14011 net.cpp:1135] Ignoring source layer loss2/classifier
I1115 04:16:46.159555 14011 net.cpp:1135] Ignoring source layer loss2/loss
I1115 04:16:46.159559 14011 net.cpp:1143] Copying source layer inception_4e/1x1 Type:Convolution #blobs=2
I1115 04:16:46.161280 14011 net.cpp:1143] Copying source layer inception_4e/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.161288 14011 net.cpp:1143] Copying source layer inception_4e/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.162348 14011 net.cpp:1143] Copying source layer inception_4e/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.162353 14011 net.cpp:1143] Copying source layer inception_4e/3x3 Type:Convolution #blobs=2
I1115 04:16:46.168017 14011 net.cpp:1143] Copying source layer inception_4e/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.168025 14011 net.cpp:1143] Copying source layer inception_4e/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.168267 14011 net.cpp:1143] Copying source layer inception_4e/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.168272 14011 net.cpp:1143] Copying source layer inception_4e/5x5 Type:Convolution #blobs=2
I1115 04:16:46.169579 14011 net.cpp:1143] Copying source layer inception_4e/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.169584 14011 net.cpp:1143] Copying source layer inception_4e/pool Type:Pooling #blobs=0
I1115 04:16:46.169589 14011 net.cpp:1143] Copying source layer inception_4e/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.170444 14011 net.cpp:1143] Copying source layer inception_4e/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.170449 14011 net.cpp:1143] Copying source layer inception_4e/output Type:Concat #blobs=0
I1115 04:16:46.170454 14011 net.cpp:1135] Ignoring source layer pool4/3x3_s2
I1115 04:16:46.170456 14011 net.cpp:1135] Ignoring source layer pool4/3x3_s2_pool4/3x3_s2_0_split
I1115 04:16:46.170459 14011 net.cpp:1143] Copying source layer inception_5a/1x1 Type:Convolution #blobs=2
I1115 04:16:46.173115 14011 net.cpp:1143] Copying source layer inception_5a/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.173120 14011 net.cpp:1143] Copying source layer inception_5a/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.174774 14011 net.cpp:1143] Copying source layer inception_5a/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.174779 14011 net.cpp:1143] Copying source layer inception_5a/3x3 Type:Convolution #blobs=2
I1115 04:16:46.180462 14011 net.cpp:1143] Copying source layer inception_5a/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.180469 14011 net.cpp:1143] Copying source layer inception_5a/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.180835 14011 net.cpp:1143] Copying source layer inception_5a/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.180840 14011 net.cpp:1143] Copying source layer inception_5a/5x5 Type:Convolution #blobs=2
I1115 04:16:46.182119 14011 net.cpp:1143] Copying source layer inception_5a/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.182126 14011 net.cpp:1143] Copying source layer inception_5a/pool Type:Pooling #blobs=0
I1115 04:16:46.182129 14011 net.cpp:1143] Copying source layer inception_5a/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.183460 14011 net.cpp:1143] Copying source layer inception_5a/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.183466 14011 net.cpp:1143] Copying source layer inception_5a/output Type:Concat #blobs=0
I1115 04:16:46.183470 14011 net.cpp:1143] Copying source layer inception_5a/output_inception_5a/output_0_split Type:Split #blobs=0
I1115 04:16:46.183475 14011 net.cpp:1143] Copying source layer inception_5b/1x1 Type:Convolution #blobs=2
I1115 04:16:46.187428 14011 net.cpp:1143] Copying source layer inception_5b/relu_1x1 Type:ReLU #blobs=0
I1115 04:16:46.187434 14011 net.cpp:1143] Copying source layer inception_5b/3x3_reduce Type:Convolution #blobs=2
I1115 04:16:46.189461 14011 net.cpp:1143] Copying source layer inception_5b/relu_3x3_reduce Type:ReLU #blobs=0
I1115 04:16:46.189467 14011 net.cpp:1143] Copying source layer inception_5b/3x3 Type:Convolution #blobs=2
I1115 04:16:46.197621 14011 net.cpp:1143] Copying source layer inception_5b/relu_3x3 Type:ReLU #blobs=0
I1115 04:16:46.197639 14011 net.cpp:1143] Copying source layer inception_5b/5x5_reduce Type:Convolution #blobs=2
I1115 04:16:46.198168 14011 net.cpp:1143] Copying source layer inception_5b/relu_5x5_reduce Type:ReLU #blobs=0
I1115 04:16:46.198174 14011 net.cpp:1143] Copying source layer inception_5b/5x5 Type:Convolution #blobs=2
I1115 04:16:46.200414 14011 net.cpp:1143] Copying source layer inception_5b/relu_5x5 Type:ReLU #blobs=0
I1115 04:16:46.200419 14011 net.cpp:1143] Copying source layer inception_5b/pool Type:Pooling #blobs=0
I1115 04:16:46.200423 14011 net.cpp:1143] Copying source layer inception_5b/pool_proj Type:Convolution #blobs=2
I1115 04:16:46.201853 14011 net.cpp:1143] Copying source layer inception_5b/relu_pool_proj Type:ReLU #blobs=0
I1115 04:16:46.201861 14011 net.cpp:1143] Copying source layer inception_5b/output Type:Concat #blobs=0
I1115 04:16:46.201864 14011 net.cpp:1135] Ignoring source layer pool5/7x7_s1
I1115 04:16:46.201869 14011 net.cpp:1135] Ignoring source layer pool5/drop_7x7_s1
I1115 04:16:46.201871 14011 net.cpp:1135] Ignoring source layer loss3/classifier
I1115 04:16:46.201875 14011 net.cpp:1135] Ignoring source layer loss3/loss3
I1115 04:16:46.203830 14011 parallel.cpp:98] Starting sync 0 (of total 8), {0.8}
I1115 04:16:46.203860 14011 parallel.cpp:173] [0 - 0] P2PSync adding callback
I1115 04:16:46.203864 14011 parallel.cpp:98] Starting sync 1 (of total 8), {1.8}
I1115 04:16:46.203869 14011 parallel.cpp:173] [1 - 1] P2PSync adding callback
I1115 04:16:46.203872 14011 parallel.cpp:98] Starting sync 2 (of total 8), {2.8}
I1115 04:16:46.203878 14011 parallel.cpp:173] [2 - 2] P2PSync adding callback
I1115 04:16:46.203881 14011 parallel.cpp:98] Starting sync 3 (of total 8), {3.8}
I1115 04:16:46.203886 14011 parallel.cpp:173] [3 - 3] P2PSync adding callback
I1115 04:16:46.203889 14011 parallel.cpp:98] Starting sync 4 (of total 8), {4.8}
I1115 04:16:46.203893 14011 parallel.cpp:173] [4 - 4] P2PSync adding callback
I1115 04:16:46.203897 14011 parallel.cpp:98] Starting sync 5 (of total 8), {5.8}
I1115 04:16:46.203902 14011 parallel.cpp:173] [5 - 5] P2PSync adding callback
I1115 04:16:46.203904 14011 parallel.cpp:98] Starting sync 6 (of total 8), {6.8}
I1115 04:16:46.203910 14011 parallel.cpp:173] [6 - 6] P2PSync adding callback
I1115 04:16:46.203913 14011 parallel.cpp:98] Starting sync 7 (of total 8), {7.8}
I1115 04:16:46.203917 14011 parallel.cpp:173] [7 - 7] P2PSync adding callback
I1115 04:16:46.203922 14011 parallel.cpp:104] Starting Optimization
I1115 04:16:46.203924 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:16:46.203987 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:46.204041 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:46.204162 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:46.204214 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:46.204334 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:46.204422 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:46.204516 14011 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:46.205703 14098 internal_thread.cpp:78] Started internal thread 14098 on device 0, rank 0
I1115 04:16:46.246094 14098 common.cpp:522] NVML initialized, thread 14098
I1115 04:16:46.327183 14098 common.cpp:544] {0.0} NVML succeeded to set CPU affinity
I1115 04:16:46.754834 14099 internal_thread.cpp:78] Started internal thread 14099 on device 1, rank 1
I1115 04:16:46.803372 14099 common.cpp:544] {0.1} NVML succeeded to set CPU affinity
I1115 04:16:47.381335 14100 internal_thread.cpp:78] Started internal thread 14100 on device 2, rank 2
I1115 04:16:47.430107 14100 common.cpp:544] {0.2} NVML succeeded to set CPU affinity
I1115 04:16:48.005187 14101 internal_thread.cpp:78] Started internal thread 14101 on device 3, rank 3
I1115 04:16:48.055178 14101 common.cpp:544] {0.3} NVML succeeded to set CPU affinity
I1115 04:16:48.622542 14102 internal_thread.cpp:78] Started internal thread 14102 on device 4, rank 4
I1115 04:16:48.672199 14102 common.cpp:544] {0.4} NVML succeeded to set CPU affinity
I1115 04:16:49.245831 14103 internal_thread.cpp:78] Started internal thread 14103 on device 5, rank 5
I1115 04:16:49.296231 14103 common.cpp:544] {0.5} NVML succeeded to set CPU affinity
I1115 04:16:49.904850 14104 internal_thread.cpp:78] Started internal thread 14104 on device 6, rank 6
I1115 04:16:49.959472 14104 common.cpp:544] {0.6} NVML succeeded to set CPU affinity
I1115 04:16:50.553669 14105 internal_thread.cpp:78] Started internal thread 14105 on device 7, rank 7
I1115 04:16:50.561522 14105 common.cpp:544] {0.7} NVML succeeded to set CPU affinity
I1115 04:16:50.561615 14098 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [0 of 8] @ 724fdf9a93f3
I1115 04:16:50.561650 14105 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561674 14102 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561687 14103 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561694 14101 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561697 14100 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561698 14104 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.561697 14099 solver.cpp:40] Solver data type: FLOAT
I1115 04:16:50.568558 14101 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.568572 14101 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.568605 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.568837 14100 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.568848 14100 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.568871 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.569227 14099 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.569239 14099 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.569599 14104 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.569612 14104 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.569617 14102 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.569622 14105 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.569629 14102 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.569634 14103 net.cpp:116] Using FLOAT as default forward math type
I1115 04:16:50.569638 14105 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.569648 14103 net.cpp:122] Using FLOAT as default backward math type
I1115 04:16:50.571947 14113 internal_thread.cpp:78] Started internal thread 14113 on device 3, rank 3
I1115 04:16:50.571959 14113 batch_transformer.cpp:51] Started BatchTransformer thread 14113
I1115 04:16:50.576158 14114 internal_thread.cpp:78] Started internal thread 14114 on device 2, rank 2
I1115 04:16:50.576187 14114 batch_transformer.cpp:51] Started BatchTransformer thread 14114
I1115 04:16:50.576207 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.576289 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.576333 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.576383 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.576421 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.580955 14119 internal_thread.cpp:78] Started internal thread 14119 on device 1, rank 1
I1115 04:16:50.580977 14119 batch_transformer.cpp:51] Started BatchTransformer thread 14119
I1115 04:16:50.585474 14118 internal_thread.cpp:78] Started internal thread 14118 on device 7, rank 7
I1115 04:16:50.585489 14118 batch_transformer.cpp:51] Started BatchTransformer thread 14118
I1115 04:16:50.590728 14115 internal_thread.cpp:78] Started internal thread 14115 on device 6, rank 6
I1115 04:16:50.590773 14115 batch_transformer.cpp:51] Started BatchTransformer thread 14115
I1115 04:16:50.599997 14116 internal_thread.cpp:78] Started internal thread 14116 on device 4, rank 4
I1115 04:16:50.600014 14116 batch_transformer.cpp:51] Started BatchTransformer thread 14116
I1115 04:16:50.605360 14117 internal_thread.cpp:78] Started internal thread 14117 on device 5, rank 5
I1115 04:16:50.605371 14117 batch_transformer.cpp:51] Started BatchTransformer thread 14117
I1115 04:16:50.796401 14101 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.796439 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.801298 14121 internal_thread.cpp:78] Started internal thread 14121 on device 3, rank 3
I1115 04:16:50.801353 14121 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.802996 14100 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.803016 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.807263 14122 internal_thread.cpp:78] Started internal thread 14122 on device 2, rank 2
I1115 04:16:50.807307 14122 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.808429 14105 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.808466 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.810550 14123 internal_thread.cpp:78] Started internal thread 14123 on device 7, rank 7
I1115 04:16:50.810626 14123 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.815547 14101 data_layer.cpp:199] [n0.d3.r3] Output data size: 4, 3, 384, 1248
I1115 04:16:50.819813 14103 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.819836 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.821197 14100 data_layer.cpp:199] [n0.d2.r2] Output data size: 4, 3, 384, 1248
I1115 04:16:50.821915 14124 internal_thread.cpp:78] Started internal thread 14124 on device 5, rank 5
I1115 04:16:50.821962 14124 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.821974 14102 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.821992 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.823447 14105 data_layer.cpp:199] [n0.d7.r7] Output data size: 4, 3, 384, 1248
I1115 04:16:50.824085 14125 internal_thread.cpp:78] Started internal thread 14125 on device 4, rank 4
I1115 04:16:50.824151 14125 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.826252 14104 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.826272 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.828421 14126 internal_thread.cpp:78] Started internal thread 14126 on device 6, rank 6
I1115 04:16:50.828496 14126 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.836109 14099 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.836135 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.839820 14127 internal_thread.cpp:78] Started internal thread 14127 on device 1, rank 1
I1115 04:16:50.839870 14127 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:16:50.843572 14103 data_layer.cpp:199] [n0.d5.r5] Output data size: 4, 3, 384, 1248
I1115 04:16:50.853706 14102 data_layer.cpp:199] [n0.d4.r4] Output data size: 4, 3, 384, 1248
I1115 04:16:50.853961 14104 data_layer.cpp:199] [n0.d6.r6] Output data size: 4, 3, 384, 1248
I1115 04:16:50.855818 14099 data_layer.cpp:199] [n0.d1.r1] Output data size: 4, 3, 384, 1248
I1115 04:16:50.913364 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.916836 14128 internal_thread.cpp:78] Started internal thread 14128 on device 3, rank 3
I1115 04:16:50.916837 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.916981 14101 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.918500 14129 internal_thread.cpp:78] Started internal thread 14129 on device 3, rank 3
I1115 04:16:50.918529 14129 batch_transformer.cpp:51] Started BatchTransformer thread 14129
I1115 04:16:50.918537 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.918593 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.920146 14130 internal_thread.cpp:78] Started internal thread 14130 on device 3, rank 3
I1115 04:16:50.921452 14130 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.924088 14131 internal_thread.cpp:78] Started internal thread 14131 on device 7, rank 7
I1115 04:16:50.924119 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.927361 14132 internal_thread.cpp:78] Started internal thread 14132 on device 7, rank 7
I1115 04:16:50.927392 14132 batch_transformer.cpp:51] Started BatchTransformer thread 14132
I1115 04:16:50.927402 14105 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.927440 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.927451 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.927490 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.927646 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.927659 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.929443 14133 internal_thread.cpp:78] Started internal thread 14133 on device 7, rank 7
I1115 04:16:50.931228 14133 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.931327 14134 internal_thread.cpp:78] Started internal thread 14134 on device 2, rank 2
I1115 04:16:50.932430 14101 data_layer.cpp:199] [n0.d3.r3] Output data size: 4, 1, 25, 16
I1115 04:16:50.934331 14135 internal_thread.cpp:78] Started internal thread 14135 on device 5, rank 5
I1115 04:16:50.934382 14103 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.934401 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.934432 14100 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.938064 14136 internal_thread.cpp:78] Started internal thread 14136 on device 5, rank 5
I1115 04:16:50.938076 14136 batch_transformer.cpp:51] Started BatchTransformer thread 14136
I1115 04:16:50.938539 14105 data_layer.cpp:199] [n0.d7.r7] Output data size: 4, 1, 25, 16
I1115 04:16:50.939519 14137 internal_thread.cpp:78] Started internal thread 14137 on device 2, rank 2
I1115 04:16:50.939532 14137 batch_transformer.cpp:51] Started BatchTransformer thread 14137
I1115 04:16:50.939620 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:16:50.939632 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.941283 14138 internal_thread.cpp:78] Started internal thread 14138 on device 5, rank 5
I1115 04:16:50.941324 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.941351 14138 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.941366 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:16:50.942142 14103 data_layer.cpp:199] [n0.d5.r5] Output data size: 4, 1, 25, 16
I1115 04:16:50.942904 14139 internal_thread.cpp:78] Started internal thread 14139 on device 3, rank 3
I1115 04:16:50.944401 14140 internal_thread.cpp:78] Started internal thread 14140 on device 2, rank 2
I1115 04:16:50.944494 14140 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.946081 14100 data_layer.cpp:199] [n0.d2.r2] Output data size: 4, 1, 25, 16
I1115 04:16:50.946166 14141 internal_thread.cpp:78] Started internal thread 14141 on device 7, rank 7
I1115 04:16:50.947733 14142 internal_thread.cpp:78] Started internal thread 14142 on device 4, rank 4
I1115 04:16:50.947774 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:16:50.947808 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.950042 14143 internal_thread.cpp:78] Started internal thread 14143 on device 5, rank 5
I1115 04:16:50.950083 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:16:50.950140 14102 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.950160 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.952116 14144 internal_thread.cpp:78] Started internal thread 14144 on device 4, rank 4
I1115 04:16:50.952127 14144 batch_transformer.cpp:51] Started BatchTransformer thread 14144
I1115 04:16:50.952147 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.952270 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.954869 14145 internal_thread.cpp:78] Started internal thread 14145 on device 2, rank 2
I1115 04:16:50.956326 14146 internal_thread.cpp:78] Started internal thread 14146 on device 4, rank 4
I1115 04:16:50.956357 14146 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.958076 14102 data_layer.cpp:199] [n0.d4.r4] Output data size: 4, 1, 25, 16
I1115 04:16:50.958400 14147 internal_thread.cpp:78] Started internal thread 14147 on device 6, rank 6
I1115 04:16:50.958456 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.958461 14104 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.959885 14148 internal_thread.cpp:78] Started internal thread 14148 on device 6, rank 6
I1115 04:16:50.959897 14148 batch_transformer.cpp:51] Started BatchTransformer thread 14148
I1115 04:16:50.960112 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:16:50.960147 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.962777 14149 internal_thread.cpp:78] Started internal thread 14149 on device 1, rank 1
I1115 04:16:50.962824 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.964356 14150 internal_thread.cpp:78] Started internal thread 14150 on device 4, rank 4
I1115 04:16:50.965890 14151 internal_thread.cpp:78] Started internal thread 14151 on device 6, rank 6
I1115 04:16:50.965920 14151 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.967983 14152 internal_thread.cpp:78] Started internal thread 14152 on device 1, rank 1
I1115 04:16:50.968012 14152 batch_transformer.cpp:51] Started BatchTransformer thread 14152
I1115 04:16:50.968022 14099 data_reader.cpp:60] Sample Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:16:50.968039 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.970346 14104 data_layer.cpp:199] [n0.d6.r6] Output data size: 4, 1, 25, 16
I1115 04:16:50.970443 14153 internal_thread.cpp:78] Started internal thread 14153 on device 1, rank 1
I1115 04:16:50.970502 14153 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:16:50.970521 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:16:50.972646 14154 internal_thread.cpp:78] Started internal thread 14154 on device 6, rank 6
I1115 04:16:50.976166 14099 data_layer.cpp:199] [n0.d1.r1] Output data size: 4, 1, 25, 16
I1115 04:16:50.976192 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:16:50.978046 14155 internal_thread.cpp:78] Started internal thread 14155 on device 1, rank 1
I1115 04:17:03.170249 14101 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.171468 14101 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.171481 14101 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.171506 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.174634 14156 internal_thread.cpp:78] Started internal thread 14156 on device 3, rank 3
I1115 04:17:03.174660 14156 batch_transformer.cpp:51] Started BatchTransformer thread 14156
I1115 04:17:03.230163 14100 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.231271 14100 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.231281 14100 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.231303 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.234612 14157 internal_thread.cpp:78] Started internal thread 14157 on device 2, rank 2
I1115 04:17:03.234625 14157 batch_transformer.cpp:51] Started BatchTransformer thread 14157
I1115 04:17:03.276387 14101 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.276434 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.278146 14158 internal_thread.cpp:78] Started internal thread 14158 on device 3, rank 3
I1115 04:17:03.278198 14158 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.305989 14099 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.306466 14101 data_layer.cpp:199] (n0.d3.r3) Output data size: 4, 3, 384, 1248
I1115 04:17:03.307103 14099 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.307114 14099 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.307137 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.312355 14159 internal_thread.cpp:78] Started internal thread 14159 on device 1, rank 1
I1115 04:17:03.312367 14159 batch_transformer.cpp:51] Started BatchTransformer thread 14159
I1115 04:17:03.335379 14100 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.335422 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.338600 14160 internal_thread.cpp:78] Started internal thread 14160 on device 2, rank 2
I1115 04:17:03.338647 14160 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.356737 14100 data_layer.cpp:199] (n0.d2.r2) Output data size: 4, 3, 384, 1248
I1115 04:17:03.415927 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.416105 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.419559 14161 internal_thread.cpp:78] Started internal thread 14161 on device 3, rank 3
I1115 04:17:03.419589 14161 data_layer.cpp:105] (n0.d3.r3) Parser threads: 1
I1115 04:17:03.419626 14161 data_layer.cpp:107] (n0.d3.r3) Transformer threads: 1
I1115 04:17:03.421453 14162 internal_thread.cpp:78] Started internal thread 14162 on device 3, rank 3
I1115 04:17:03.421484 14162 batch_transformer.cpp:51] Started BatchTransformer thread 14162
I1115 04:17:03.421489 14101 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.421510 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.423262 14163 internal_thread.cpp:78] Started internal thread 14163 on device 3, rank 3
I1115 04:17:03.423322 14163 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.426756 14099 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.426777 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.429381 14164 internal_thread.cpp:78] Started internal thread 14164 on device 1, rank 1
I1115 04:17:03.429518 14164 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.472141 14101 data_layer.cpp:199] (n0.d3.r3) Output data size: 4, 1, 19, 16
I1115 04:17:03.472182 14101 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:03.474058 14165 internal_thread.cpp:78] Started internal thread 14165 on device 3, rank 3
I1115 04:17:03.474089 14165 data_layer.cpp:105] (n0.d3.r3) Parser threads: 1
I1115 04:17:03.474105 14165 data_layer.cpp:107] (n0.d3.r3) Transformer threads: 1
I1115 04:17:03.474674 14099 data_layer.cpp:199] (n0.d1.r1) Output data size: 4, 3, 384, 1248
I1115 04:17:03.479864 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.480017 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.481724 14166 internal_thread.cpp:78] Started internal thread 14166 on device 2, rank 2
I1115 04:17:03.481756 14166 data_layer.cpp:105] (n0.d2.r2) Parser threads: 1
I1115 04:17:03.481786 14166 data_layer.cpp:107] (n0.d2.r2) Transformer threads: 1
I1115 04:17:03.483458 14167 internal_thread.cpp:78] Started internal thread 14167 on device 2, rank 2
I1115 04:17:03.483469 14167 batch_transformer.cpp:51] Started BatchTransformer thread 14167
I1115 04:17:03.483587 14100 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.483620 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.485651 14168 internal_thread.cpp:78] Started internal thread 14168 on device 2, rank 2
I1115 04:17:03.485702 14168 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.494753 14100 data_layer.cpp:199] (n0.d2.r2) Output data size: 4, 1, 19, 16
I1115 04:17:03.494808 14100 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:03.497874 14169 internal_thread.cpp:78] Started internal thread 14169 on device 2, rank 2
I1115 04:17:03.497885 14169 data_layer.cpp:105] (n0.d2.r2) Parser threads: 1
I1115 04:17:03.497897 14169 data_layer.cpp:107] (n0.d2.r2) Transformer threads: 1
I1115 04:17:03.548799 14103 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.548799 14104 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.550359 14103 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.550369 14103 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.550382 14104 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.550392 14104 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.550401 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.550408 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.553381 14170 internal_thread.cpp:78] Started internal thread 14170 on device 5, rank 5
I1115 04:17:03.553393 14170 batch_transformer.cpp:51] Started BatchTransformer thread 14170
I1115 04:17:03.559340 14171 internal_thread.cpp:78] Started internal thread 14171 on device 6, rank 6
I1115 04:17:03.559352 14171 batch_transformer.cpp:51] Started BatchTransformer thread 14171
I1115 04:17:03.584592 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.585124 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.589020 14172 internal_thread.cpp:78] Started internal thread 14172 on device 1, rank 1
I1115 04:17:03.589056 14172 data_layer.cpp:105] (n0.d1.r1) Parser threads: 1
I1115 04:17:03.589085 14172 data_layer.cpp:107] (n0.d1.r1) Transformer threads: 1
I1115 04:17:03.590678 14173 internal_thread.cpp:78] Started internal thread 14173 on device 1, rank 1
I1115 04:17:03.590692 14173 batch_transformer.cpp:51] Started BatchTransformer thread 14173
I1115 04:17:03.590813 14099 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.590835 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.594386 14174 internal_thread.cpp:78] Started internal thread 14174 on device 1, rank 1
I1115 04:17:03.594465 14174 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.600332 14099 data_layer.cpp:199] (n0.d1.r1) Output data size: 4, 1, 19, 16
I1115 04:17:03.600381 14099 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:03.602355 14175 internal_thread.cpp:78] Started internal thread 14175 on device 1, rank 1
I1115 04:17:03.602386 14175 data_layer.cpp:105] (n0.d1.r1) Parser threads: 1
I1115 04:17:03.602398 14175 data_layer.cpp:107] (n0.d1.r1) Transformer threads: 1
I1115 04:17:03.671522 14103 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.671555 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.673758 14176 internal_thread.cpp:78] Started internal thread 14176 on device 5, rank 5
I1115 04:17:03.673841 14176 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.680809 14104 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.680864 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.682587 14177 internal_thread.cpp:78] Started internal thread 14177 on device 6, rank 6
I1115 04:17:03.682626 14177 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.693653 14103 data_layer.cpp:199] (n0.d5.r5) Output data size: 4, 3, 384, 1248
I1115 04:17:03.695382 14102 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.696593 14102 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.696604 14102 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.696625 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.699652 14178 internal_thread.cpp:78] Started internal thread 14178 on device 4, rank 4
I1115 04:17:03.699676 14178 batch_transformer.cpp:51] Started BatchTransformer thread 14178
I1115 04:17:03.704296 14104 data_layer.cpp:199] (n0.d6.r6) Output data size: 4, 3, 384, 1248
I1115 04:17:03.723826 14105 solver.cpp:173] Creating test net (#0) specified by net file: train_val.prototxt
I1115 04:17:03.725828 14105 net.cpp:116] Using FLOAT as default forward math type
I1115 04:17:03.725842 14105 net.cpp:122] Using FLOAT as default backward math type
I1115 04:17:03.725867 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:03.731371 14179 internal_thread.cpp:78] Started internal thread 14179 on device 7, rank 7
I1115 04:17:03.731384 14179 batch_transformer.cpp:51] Started BatchTransformer thread 14179
I1115 04:17:03.784252 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.784437 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.788110 14180 internal_thread.cpp:78] Started internal thread 14180 on device 5, rank 5
I1115 04:17:03.788122 14180 data_layer.cpp:105] (n0.d5.r5) Parser threads: 1
I1115 04:17:03.788141 14180 data_layer.cpp:107] (n0.d5.r5) Transformer threads: 1
I1115 04:17:03.790942 14181 internal_thread.cpp:78] Started internal thread 14181 on device 5, rank 5
I1115 04:17:03.790973 14181 batch_transformer.cpp:51] Started BatchTransformer thread 14181
I1115 04:17:03.790983 14103 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.791003 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.792732 14182 internal_thread.cpp:78] Started internal thread 14182 on device 5, rank 5
I1115 04:17:03.793972 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.794332 14182 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.794529 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.796515 14183 internal_thread.cpp:78] Started internal thread 14183 on device 6, rank 6
I1115 04:17:03.796542 14183 data_layer.cpp:105] (n0.d6.r6) Parser threads: 1
I1115 04:17:03.796578 14183 data_layer.cpp:107] (n0.d6.r6) Transformer threads: 1
I1115 04:17:03.796581 14104 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.800457 14184 internal_thread.cpp:78] Started internal thread 14184 on device 6, rank 6
I1115 04:17:03.800469 14184 batch_transformer.cpp:51] Started BatchTransformer thread 14184
I1115 04:17:03.800525 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.802979 14185 internal_thread.cpp:78] Started internal thread 14185 on device 6, rank 6
I1115 04:17:03.803040 14185 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.804014 14102 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.804040 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.805896 14186 internal_thread.cpp:78] Started internal thread 14186 on device 4, rank 4
I1115 04:17:03.813280 14186 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.814877 14104 data_layer.cpp:199] (n0.d6.r6) Output data size: 4, 1, 19, 16
I1115 04:17:03.814926 14104 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:03.815066 14103 data_layer.cpp:199] (n0.d5.r5) Output data size: 4, 1, 19, 16
I1115 04:17:03.815111 14103 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:03.818284 14187 internal_thread.cpp:78] Started internal thread 14187 on device 6, rank 6
I1115 04:17:03.818315 14187 data_layer.cpp:105] (n0.d6.r6) Parser threads: 1
I1115 04:17:03.818327 14187 data_layer.cpp:107] (n0.d6.r6) Transformer threads: 1
I1115 04:17:03.822446 14188 internal_thread.cpp:78] Started internal thread 14188 on device 5, rank 5
I1115 04:17:03.822476 14188 data_layer.cpp:105] (n0.d5.r5) Parser threads: 1
I1115 04:17:03.822489 14188 data_layer.cpp:107] (n0.d5.r5) Transformer threads: 1
I1115 04:17:03.827303 14105 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.827339 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:03.830051 14189 internal_thread.cpp:78] Started internal thread 14189 on device 7, rank 7
I1115 04:17:03.830101 14189 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/features
I1115 04:17:03.839445 14102 data_layer.cpp:199] (n0.d4.r4) Output data size: 4, 3, 384, 1248
I1115 04:17:03.852106 14105 data_layer.cpp:199] (n0.d7.r7) Output data size: 4, 3, 384, 1248
I1115 04:17:03.942030 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.942620 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.944427 14190 internal_thread.cpp:78] Started internal thread 14190 on device 4, rank 4
I1115 04:17:03.944464 14190 data_layer.cpp:105] (n0.d4.r4) Parser threads: 1
I1115 04:17:03.944497 14190 data_layer.cpp:107] (n0.d4.r4) Transformer threads: 1
I1115 04:17:03.944506 14102 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.946211 14191 internal_thread.cpp:78] Started internal thread 14191 on device 4, rank 4
I1115 04:17:03.946249 14191 batch_transformer.cpp:51] Started BatchTransformer thread 14191
I1115 04:17:03.946255 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.948091 14192 internal_thread.cpp:78] Started internal thread 14192 on device 4, rank 4
I1115 04:17:03.948149 14192 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.951520 14102 data_layer.cpp:199] (n0.d4.r4) Output data size: 4, 1, 19, 16
I1115 04:17:03.951550 14102 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:03.953498 14193 internal_thread.cpp:78] Started internal thread 14193 on device 4, rank 4
I1115 04:17:03.953539 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:03.953588 14193 data_layer.cpp:105] (n0.d4.r4) Parser threads: 1
I1115 04:17:03.953601 14193 data_layer.cpp:107] (n0.d4.r4) Transformer threads: 1
I1115 04:17:03.953748 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:03.955480 14194 internal_thread.cpp:78] Started internal thread 14194 on device 7, rank 7
I1115 04:17:03.955509 14194 data_layer.cpp:105] (n0.d7.r7) Parser threads: 1
I1115 04:17:03.955520 14194 data_layer.cpp:107] (n0.d7.r7) Transformer threads: 1
I1115 04:17:03.957322 14195 internal_thread.cpp:78] Started internal thread 14195 on device 7, rank 7
I1115 04:17:03.957335 14195 batch_transformer.cpp:51] Started BatchTransformer thread 14195
I1115 04:17:03.957376 14105 data_reader.cpp:60] Data Reader threads: 1, out queues: 1, depth: 4
I1115 04:17:03.957396 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:03.959342 14196 internal_thread.cpp:78] Started internal thread 14196 on device 7, rank 7
I1115 04:17:03.959415 14196 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/val_db/labels
I1115 04:17:03.997556 14105 data_layer.cpp:199] (n0.d7.r7) Output data size: 4, 1, 19, 16
I1115 04:17:03.997609 14105 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:04.000861 14197 internal_thread.cpp:78] Started internal thread 14197 on device 7, rank 7
I1115 04:17:04.000874 14197 data_layer.cpp:105] (n0.d7.r7) Parser threads: 1
I1115 04:17:04.000886 14197 data_layer.cpp:107] (n0.d7.r7) Transformer threads: 1
I1115 04:17:05.292855 14101 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.297539 14101 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.300237 14101 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.307909 14101 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.312391 14100 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.312829 14101 solver.cpp:54] Solver scaffolding done.
I1115 04:17:05.319032 14100 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.321486 14100 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.325119 14100 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.329660 14100 solver.cpp:54] Solver scaffolding done.
I1115 04:17:05.365309 14099 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.367609 14099 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:05.374032 14099 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.377442 14099 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:05.381640 14099 solver.cpp:54] Solver scaffolding done.
I1115 04:17:05.807644 14101 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [3 of 8] @ 724fdf9a93f3
I1115 04:17:05.914834 14100 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [2 of 8] @ 724fdf9a93f3
I1115 04:17:06.067663 14099 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [1 of 8] @ 724fdf9a93f3
I1115 04:17:06.202399 14103 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.203771 14103 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.205219 14103 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.207424 14103 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.210930 14103 solver.cpp:54] Solver scaffolding done.
I1115 04:17:06.224042 14104 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.233186 14104 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.235205 14104 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.237301 14104 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.240640 14104 solver.cpp:54] Solver scaffolding done.
I1115 04:17:06.272440 14102 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.273823 14102 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.275167 14102 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.277189 14102 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.280217 14102 solver.cpp:54] Solver scaffolding done.
I1115 04:17:06.335422 14105 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.336442 14105 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.clustering'
I1115 04:17:06.337383 14105 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.339442 14105 layer_factory.cpp:339] Importing Python module 'caffe.layers.detectnet.mean_ap'
I1115 04:17:06.343060 14105 solver.cpp:54] Solver scaffolding done.
I1115 04:17:06.570976 14103 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [5 of 8] @ 724fdf9a93f3
I1115 04:17:06.663066 14104 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [6 of 8] @ 724fdf9a93f3
I1115 04:17:06.756510 14102 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [4 of 8] @ 724fdf9a93f3
I1115 04:17:06.848474 14105 parallel.cpp:200] MPI global: [0 of 1] P2PSync: [7 of 8] @ 724fdf9a93f3
I1115 04:17:09.268966 14100 parallel.cpp:228] [2 - 2] P2PSync added callback
I1115 04:17:09.268995 14101 parallel.cpp:228] [3 - 3] P2PSync added callback
I1115 04:17:09.269134 14101 solver.cpp:411] [0.3] Solving  Learning Rate Policy: step
I1115 04:17:09.269145 14100 solver.cpp:411] [0.2] Solving  Learning Rate Policy: step
I1115 04:17:09.269367 14099 parallel.cpp:228] [1 - 1] P2PSync added callback
I1115 04:17:09.269462 14098 parallel.cpp:228] [0 - 0] P2PSync added callback
I1115 04:17:09.269508 14099 solver.cpp:411] [0.1] Solving  Learning Rate Policy: step
I1115 04:17:09.269595 14098 solver.cpp:411] [0.0] Solving  Learning Rate Policy: step
I1115 04:17:09.275310 14103 parallel.cpp:228] [5 - 5] P2PSync added callback
I1115 04:17:09.275344 14103 solver.cpp:411] [0.5] Solving  Learning Rate Policy: step
I1115 04:17:09.278673 14102 parallel.cpp:228] [4 - 4] P2PSync added callback
I1115 04:17:09.278695 14102 solver.cpp:411] [0.4] Solving  Learning Rate Policy: step
I1115 04:17:09.279495 14105 parallel.cpp:228] [7 - 7] P2PSync added callback
I1115 04:17:09.279513 14104 parallel.cpp:228] [6 - 6] P2PSync added callback
I1115 04:17:09.279517 14105 solver.cpp:411] [0.7] Solving  Learning Rate Policy: step
I1115 04:17:09.279538 14104 solver.cpp:411] [0.6] Solving  Learning Rate Policy: step
I1115 04:17:09.280206 14102 net.cpp:1424] [0.4] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280202 14104 net.cpp:1424] [0.6] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280207 14103 net.cpp:1424] [0.5] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280237 14105 net.cpp:1424] [0.7] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280241 14098 net.cpp:1424] [0.0] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280251 14099 net.cpp:1424] [0.1] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280237 14100 net.cpp:1424] [0.2] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.280349 14101 net.cpp:1424] [0.3] Reserving 23918336 bytes of shared learnable space for type FLOAT
I1115 04:17:09.582438 14101 solver.cpp:219] [0.3] Starting Optimization on GPU 3
I1115 04:17:09.582443 14100 solver.cpp:219] [0.2] Starting Optimization on GPU 2
I1115 04:17:09.582444 14103 solver.cpp:219] [0.5] Starting Optimization on GPU 5
I1115 04:17:09.582439 14099 solver.cpp:219] [0.1] Starting Optimization on GPU 1
I1115 04:17:09.582444 14105 solver.cpp:219] [0.7] Starting Optimization on GPU 7
I1115 04:17:09.582551 14103 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582554 14101 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582459 14098 solver.cpp:219] [0.0] Starting Optimization on GPU 0
I1115 04:17:09.582576 14105 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582582 14098 solver.cpp:236] [MultiGPU] Initial Test started...
I1115 04:17:09.582585 14099 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582444 14104 solver.cpp:219] [0.6] Starting Optimization on GPU 6
I1115 04:17:09.582595 14099 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582568 14101 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582556 14100 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582615 14104 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582562 14103 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582602 14098 solver.cpp:494] Iteration 0, Testing net (#0)
I1115 04:17:09.582603 14099 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582643 14098 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582610 14101 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582588 14105 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582617 14100 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582624 14104 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582631 14103 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582448 14102 solver.cpp:219] [0.4] Starting Optimization on GPU 4
I1115 04:17:09.582653 14098 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582671 14105 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582679 14100 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582690 14104 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582715 14098 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:09.582720 14102 net.cpp:1070] Ignoring source layer train_data
I1115 04:17:09.582754 14102 net.cpp:1070] Ignoring source layer train_label
I1115 04:17:09.582758 14102 net.cpp:1070] Ignoring source layer train_transform
I1115 04:17:13.346772 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 8.88093 (* 2 = 17.7619 loss)
I1115 04:17:13.347259 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 173.568 (* 1 = 173.568 loss)
I1115 04:17:13.347270 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0
I1115 04:17:13.347285 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 0
I1115 04:17:13.347291 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0
I1115 04:17:13.347349 14098 solver.cpp:241] [MultiGPU] Initial Test completed in 3.76475s
I1115 04:17:13.348762 14206 common.cpp:544] {0.6} NVML succeeded to set CPU affinity
I1115 04:17:13.349560 14205 common.cpp:544] {0.5} NVML succeeded to set CPU affinity
I1115 04:17:13.350275 14208 common.cpp:544] {0.4} NVML succeeded to set CPU affinity
I1115 04:17:13.351096 14211 common.cpp:544] {0.3} NVML succeeded to set CPU affinity
I1115 04:17:13.351807 14207 common.cpp:544] {0.1} NVML succeeded to set CPU affinity
I1115 04:17:13.352466 14212 common.cpp:544] {0.0} NVML succeeded to set CPU affinity
I1115 04:17:13.353188 14209 common.cpp:544] {0.7} NVML succeeded to set CPU affinity
I1115 04:17:13.354178 14210 common.cpp:544] {0.2} NVML succeeded to set CPU affinity
I1115 04:17:13.365732 14154 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 6
I1115 04:17:13.380563 14147 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 6
I1115 04:17:13.395107 14143 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 5
I1115 04:17:13.410868 14135 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 5
I1115 04:17:13.426203 14150 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 4
I1115 04:17:13.446346 14142 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 4
I1115 04:17:13.461391 14131 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 7
I1115 04:17:13.475977 14141 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 7
I1115 04:17:13.493685 14145 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 2
I1115 04:17:13.507935 14134 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 2
I1115 04:17:13.524099 14139 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 3
I1115 04:17:13.540472 14128 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 3
I1115 04:17:13.557201 14089 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 0
I1115 04:17:13.569248 14086 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 0
I1115 04:17:13.581280 14155 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 1
I1115 04:17:13.593266 14149 internal_thread.cpp:42] Restarting 4 internal thread(s) on device 1
I1115 04:17:13.605640 14154 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:13.605696 14147 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 6
I1115 04:17:13.605795 14143 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:13.605811 14135 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 5
I1115 04:17:13.605852 14154 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.605814 14147 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.607396 14277 internal_thread.cpp:78] Started internal thread 14277 on device 6, rank 6
I1115 04:17:13.607635 14277 common.cpp:544] {0.6} NVML succeeded to set CPU affinity
I1115 04:17:13.607642 14277 batch_transformer.cpp:51] Started BatchTransformer thread 14277
I1115 04:17:13.607852 14139 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:13.607870 14128 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 3
I1115 04:17:13.609452 14278 internal_thread.cpp:78] Started internal thread 14278 on device 6, rank 6
I1115 04:17:13.609855 14278 common.cpp:544] {0.6} NVML succeeded to set CPU affinity
I1115 04:17:13.609863 14278 batch_transformer.cpp:51] Started BatchTransformer thread 14278
I1115 04:17:13.611186 14279 internal_thread.cpp:78] Started internal thread 14279 on device 5, rank 5
I1115 04:17:13.611261 14143 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.611268 14150 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:13.611308 14154 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 6
I1115 04:17:13.611335 14143 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 5
I1115 04:17:13.611351 14142 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 4
I1115 04:17:13.611387 14135 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.611395 14150 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.611758 14279 common.cpp:544] {0.5} NVML succeeded to set CPU affinity
I1115 04:17:13.611768 14279 batch_transformer.cpp:51] Started BatchTransformer thread 14279
I1115 04:17:13.613317 14284 internal_thread.cpp:78] Started internal thread 14284 on device 5, rank 5
I1115 04:17:13.613382 14284 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.614924 14280 internal_thread.cpp:78] Started internal thread 14280 on device 5, rank 5
I1115 04:17:13.614969 14131 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:13.615023 14141 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 7
I1115 04:17:13.615106 14131 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.615134 14128 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.615151 14141 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.615139 14139 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.615247 14280 common.cpp:544] {0.5} NVML succeeded to set CPU affinity
I1115 04:17:13.615254 14280 batch_transformer.cpp:51] Started BatchTransformer thread 14280
I1115 04:17:13.616822 14291 internal_thread.cpp:78] Started internal thread 14291 on device 7, rank 7
I1115 04:17:13.616835 14089 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:17:13.617260 14291 common.cpp:544] {0.7} NVML succeeded to set CPU affinity
I1115 04:17:13.617269 14291 batch_transformer.cpp:51] Started BatchTransformer thread 14291
I1115 04:17:13.618615 14281 internal_thread.cpp:78] Started internal thread 14281 on device 3, rank 3
I1115 04:17:13.618647 14086 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 0
I1115 04:17:13.618661 14155 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:13.618750 14149 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 1
I1115 04:17:13.618834 14145 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:13.618944 14281 common.cpp:544] {0.3} NVML succeeded to set CPU affinity
I1115 04:17:13.618954 14281 batch_transformer.cpp:51] Started BatchTransformer thread 14281
I1115 04:17:13.620529 14283 internal_thread.cpp:78] Started internal thread 14283 on device 4, rank 4
I1115 04:17:13.620985 14283 common.cpp:544] {0.4} NVML succeeded to set CPU affinity
I1115 04:17:13.620993 14283 batch_transformer.cpp:51] Started BatchTransformer thread 14283
I1115 04:17:13.622424 14285 internal_thread.cpp:78] Started internal thread 14285 on device 6, rank 6
I1115 04:17:13.622505 14285 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.623452 14154 data_layer.cpp:199] [n0.d6.r6] Output data size: 4, 1, 25, 16
I1115 04:17:13.623510 14154 data_layer.cpp:105] [n0.d6.r6] Parser threads: 3 (auto)
I1115 04:17:13.623517 14154 data_layer.cpp:107] [n0.d6.r6] Transformer threads: 4 (auto)
I1115 04:17:13.623745 14143 data_layer.cpp:199] [n0.d5.r5] Output data size: 4, 1, 25, 16
I1115 04:17:13.623783 14143 data_layer.cpp:105] [n0.d5.r5] Parser threads: 3 (auto)
I1115 04:17:13.623819 14143 data_layer.cpp:107] [n0.d5.r5] Transformer threads: 4 (auto)
I1115 04:17:13.624084 14287 internal_thread.cpp:78] Started internal thread 14287 on device 5, rank 5
I1115 04:17:13.624140 14287 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.625916 14286 internal_thread.cpp:78] Started internal thread 14286 on device 6, rank 6
I1115 04:17:13.625917 14142 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.625979 14286 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.627511 14288 internal_thread.cpp:78] Started internal thread 14288 on device 4, rank 4
I1115 04:17:13.627796 14288 common.cpp:544] {0.4} NVML succeeded to set CPU affinity
I1115 04:17:13.627804 14288 batch_transformer.cpp:51] Started BatchTransformer thread 14288
I1115 04:17:13.629350 14150 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 4
I1115 04:17:13.632177 14289 internal_thread.cpp:78] Started internal thread 14289 on device 5, rank 5
I1115 04:17:13.632234 14289 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.635473 14290 internal_thread.cpp:78] Started internal thread 14290 on device 6, rank 6
I1115 04:17:13.635515 14290 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.637630 14282 internal_thread.cpp:78] Started internal thread 14282 on device 3, rank 3
I1115 04:17:13.638000 14282 common.cpp:544] {0.3} NVML succeeded to set CPU affinity
I1115 04:17:13.638006 14282 batch_transformer.cpp:51] Started BatchTransformer thread 14282
I1115 04:17:13.639325 14292 internal_thread.cpp:78] Started internal thread 14292 on device 7, rank 7
I1115 04:17:13.639365 14141 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 7
I1115 04:17:13.639461 14139 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 3
I1115 04:17:13.639803 14292 common.cpp:544] {0.7} NVML succeeded to set CPU affinity
I1115 04:17:13.639816 14292 batch_transformer.cpp:51] Started BatchTransformer thread 14292
I1115 04:17:13.641999 14293 internal_thread.cpp:78] Started internal thread 14293 on device 0, rank 0
I1115 04:17:13.642062 14149 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.642067 14155 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.642104 14086 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.642297 14293 common.cpp:544] {0.0} NVML succeeded to set CPU affinity
I1115 04:17:13.642304 14293 batch_transformer.cpp:51] Started BatchTransformer thread 14293
I1115 04:17:13.643940 14295 internal_thread.cpp:78] Started internal thread 14295 on device 1, rank 1
I1115 04:17:13.644414 14295 common.cpp:544] {0.1} NVML succeeded to set CPU affinity
I1115 04:17:13.644423 14295 batch_transformer.cpp:51] Started BatchTransformer thread 14295
I1115 04:17:13.647716 14294 internal_thread.cpp:78] Started internal thread 14294 on device 1, rank 1
I1115 04:17:13.648190 14294 common.cpp:544] {0.1} NVML succeeded to set CPU affinity
I1115 04:17:13.648197 14294 batch_transformer.cpp:51] Started BatchTransformer thread 14294
I1115 04:17:13.650502 14296 internal_thread.cpp:78] Started internal thread 14296 on device 0, rank 0
I1115 04:17:13.650975 14296 common.cpp:544] {0.0} NVML succeeded to set CPU affinity
I1115 04:17:13.650982 14296 batch_transformer.cpp:51] Started BatchTransformer thread 14296
I1115 04:17:13.654290 14297 internal_thread.cpp:78] Started internal thread 14297 on device 2, rank 2
I1115 04:17:13.654330 14134 internal_thread.cpp:18] {0} Starting 1 internal thread(s) on device 2
I1115 04:17:13.654798 14297 common.cpp:544] {0.2} NVML succeeded to set CPU affinity
I1115 04:17:13.654803 14297 batch_transformer.cpp:51] Started BatchTransformer thread 14297
I1115 04:17:13.657627 14213 internal_thread.cpp:78] Started internal thread 14213 on device 6, rank 6
I1115 04:17:13.660871 14216 internal_thread.cpp:78] Started internal thread 14216 on device 6, rank 6
I1115 04:17:13.664129 14215 internal_thread.cpp:78] Started internal thread 14215 on device 6, rank 6
I1115 04:17:13.667343 14214 internal_thread.cpp:78] Started internal thread 14214 on device 6, rank 6
I1115 04:17:13.670279 14222 internal_thread.cpp:78] Started internal thread 14222 on device 5, rank 5
I1115 04:17:13.672340 14224 internal_thread.cpp:78] Started internal thread 14224 on device 5, rank 5
I1115 04:17:13.673967 14221 internal_thread.cpp:78] Started internal thread 14221 on device 5, rank 5
I1115 04:17:13.675873 14223 internal_thread.cpp:78] Started internal thread 14223 on device 5, rank 5
I1115 04:17:13.677932 14298 internal_thread.cpp:78] Started internal thread 14298 on device 4, rank 4
I1115 04:17:13.679004 14298 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.679751 14300 internal_thread.cpp:78] Started internal thread 14300 on device 4, rank 4
I1115 04:17:13.679785 14300 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.679816 14089 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.682479 14301 internal_thread.cpp:78] Started internal thread 14301 on device 7, rank 7
I1115 04:17:13.682531 14301 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.685731 14302 internal_thread.cpp:78] Started internal thread 14302 on device 7, rank 7
I1115 04:17:13.685762 14302 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.687299 14303 internal_thread.cpp:78] Started internal thread 14303 on device 3, rank 3
I1115 04:17:13.687364 14303 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.690479 14304 internal_thread.cpp:78] Started internal thread 14304 on device 7, rank 7
I1115 04:17:13.690515 14304 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.693651 14305 internal_thread.cpp:78] Started internal thread 14305 on device 3, rank 3
I1115 04:17:13.693763 14305 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.697307 14306 internal_thread.cpp:78] Started internal thread 14306 on device 3, rank 3
I1115 04:17:13.697376 14155 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 1
I1115 04:17:13.697382 14306 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.697415 14145 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.697433 14134 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.699751 14307 internal_thread.cpp:78] Started internal thread 14307 on device 2, rank 2
I1115 04:17:13.699815 14147 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.700003 14307 common.cpp:544] {0.2} NVML succeeded to set CPU affinity
I1115 04:17:13.700023 14307 batch_transformer.cpp:51] Started BatchTransformer thread 14307
I1115 04:17:13.701864 14299 internal_thread.cpp:78] Started internal thread 14299 on device 4, rank 4
I1115 04:17:13.701951 14135 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.701953 14299 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.701989 14089 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 0
I1115 04:17:13.702037 14131 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.702113 14128 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.702124 14145 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 2
I1115 04:17:13.703886 14308 internal_thread.cpp:78] Started internal thread 14308 on device 1, rank 1
I1115 04:17:13.703940 14308 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.724930 14309 internal_thread.cpp:78] Started internal thread 14309 on device 1, rank 1
I1115 04:17:13.725024 14309 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.726554 14310 internal_thread.cpp:78] Started internal thread 14310 on device 1, rank 1
I1115 04:17:13.727654 14310 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.729537 14311 internal_thread.cpp:78] Started internal thread 14311 on device 0, rank 0
I1115 04:17:13.732026 14311 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.732092 14313 internal_thread.cpp:78] Started internal thread 14313 on device 2, rank 2
I1115 04:17:13.732131 14313 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.735165 14312 internal_thread.cpp:78] Started internal thread 14312 on device 0, rank 0
I1115 04:17:13.735659 14312 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.739650 14315 internal_thread.cpp:78] Started internal thread 14315 on device 2, rank 2
I1115 04:17:13.739692 14315 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.742720 14314 internal_thread.cpp:78] Started internal thread 14314 on device 0, rank 0
I1115 04:17:13.742756 14314 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.745491 14316 internal_thread.cpp:78] Started internal thread 14316 on device 2, rank 2
I1115 04:17:13.745527 14316 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/labels
I1115 04:17:13.745582 14142 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.745667 14149 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.745704 14086 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.760871 14135 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.766680 14147 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.770633 14131 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.774789 14128 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.776553 14150 data_layer.cpp:199] [n0.d4.r4] Output data size: 4, 1, 25, 16
I1115 04:17:13.776641 14150 data_layer.cpp:105] [n0.d4.r4] Parser threads: 3 (auto)
I1115 04:17:13.776666 14150 data_layer.cpp:107] [n0.d4.r4] Transformer threads: 4 (auto)
I1115 04:17:13.780380 14229 internal_thread.cpp:78] Started internal thread 14229 on device 4, rank 4
I1115 04:17:13.783735 14230 internal_thread.cpp:78] Started internal thread 14230 on device 4, rank 4
I1115 04:17:13.787187 14231 internal_thread.cpp:78] Started internal thread 14231 on device 4, rank 4
I1115 04:17:13.789304 14232 internal_thread.cpp:78] Started internal thread 14232 on device 4, rank 4
I1115 04:17:13.789366 14134 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.796921 14142 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.804116 14086 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.809047 14149 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.823091 14139 data_layer.cpp:199] [n0.d3.r3] Output data size: 4, 1, 25, 16
I1115 04:17:13.823150 14139 data_layer.cpp:105] [n0.d3.r3] Parser threads: 3 (auto)
I1115 04:17:13.823176 14139 data_layer.cpp:107] [n0.d3.r3] Transformer threads: 4 (auto)
I1115 04:17:13.825004 14253 internal_thread.cpp:78] Started internal thread 14253 on device 3, rank 3
I1115 04:17:13.826566 14255 internal_thread.cpp:78] Started internal thread 14255 on device 3, rank 3
I1115 04:17:13.828056 14256 internal_thread.cpp:78] Started internal thread 14256 on device 3, rank 3
I1115 04:17:13.830564 14254 internal_thread.cpp:78] Started internal thread 14254 on device 3, rank 3
I1115 04:17:13.830662 14135 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.834036 14147 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.837298 14131 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.839184 14141 data_layer.cpp:199] [n0.d7.r7] Output data size: 4, 1, 25, 16
I1115 04:17:13.839255 14141 data_layer.cpp:105] [n0.d7.r7] Parser threads: 3 (auto)
I1115 04:17:13.839282 14141 data_layer.cpp:107] [n0.d7.r7] Transformer threads: 4 (auto)
I1115 04:17:13.842164 14241 internal_thread.cpp:78] Started internal thread 14241 on device 7, rank 7
I1115 04:17:13.845491 14244 internal_thread.cpp:78] Started internal thread 14244 on device 7, rank 7
I1115 04:17:13.848318 14242 internal_thread.cpp:78] Started internal thread 14242 on device 7, rank 7
I1115 04:17:13.851482 14243 internal_thread.cpp:78] Started internal thread 14243 on device 7, rank 7
I1115 04:17:13.851536 14128 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.854265 14134 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.867626 14142 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.873621 14086 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.877393 14149 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.895066 14155 data_layer.cpp:199] [n0.d1.r1] Output data size: 4, 1, 25, 16
I1115 04:17:13.895148 14155 data_layer.cpp:105] [n0.d1.r1] Parser threads: 3 (auto)
I1115 04:17:13.895174 14155 data_layer.cpp:107] [n0.d1.r1] Transformer threads: 4 (auto)
I1115 04:17:13.898450 14269 internal_thread.cpp:78] Started internal thread 14269 on device 1, rank 1
I1115 04:17:13.900923 14271 internal_thread.cpp:78] Started internal thread 14271 on device 1, rank 1
I1115 04:17:13.904731 14270 internal_thread.cpp:78] Started internal thread 14270 on device 1, rank 1
I1115 04:17:13.905890 14145 data_layer.cpp:199] [n0.d2.r2] Output data size: 4, 1, 25, 16
I1115 04:17:13.905947 14145 data_layer.cpp:105] [n0.d2.r2] Parser threads: 3 (auto)
I1115 04:17:13.905954 14145 data_layer.cpp:107] [n0.d2.r2] Transformer threads: 4 (auto)
I1115 04:17:13.907188 14272 internal_thread.cpp:78] Started internal thread 14272 on device 1, rank 1
I1115 04:17:13.907255 14135 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.907279 14147 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.907328 14135 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 5
I1115 04:17:13.910060 14245 internal_thread.cpp:78] Started internal thread 14245 on device 2, rank 2
I1115 04:17:13.912907 14247 internal_thread.cpp:78] Started internal thread 14247 on device 2, rank 2
I1115 04:17:13.916380 14246 internal_thread.cpp:78] Started internal thread 14246 on device 2, rank 2
I1115 04:17:13.916386 14089 data_layer.cpp:199] [n0.d0.r0] Output data size: 4, 1, 25, 16
I1115 04:17:13.916469 14089 data_layer.cpp:105] [n0.d0.r0] Parser threads: 3 (auto)
I1115 04:17:13.916494 14089 data_layer.cpp:107] [n0.d0.r0] Transformer threads: 4 (auto)
I1115 04:17:13.919780 14248 internal_thread.cpp:78] Started internal thread 14248 on device 2, rank 2
I1115 04:17:13.919816 14147 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 6
I1115 04:17:13.919904 14131 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.923360 14318 internal_thread.cpp:78] Started internal thread 14318 on device 5, rank 5
I1115 04:17:13.923440 14318 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.926666 14317 internal_thread.cpp:78] Started internal thread 14317 on device 5, rank 5
I1115 04:17:13.926715 14317 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.929636 14319 internal_thread.cpp:78] Started internal thread 14319 on device 5, rank 5
I1115 04:17:13.929682 14319 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.931519 14261 internal_thread.cpp:78] Started internal thread 14261 on device 0, rank 0
I1115 04:17:13.933404 14262 internal_thread.cpp:78] Started internal thread 14262 on device 0, rank 0
I1115 04:17:13.935070 14264 internal_thread.cpp:78] Started internal thread 14264 on device 0, rank 0
I1115 04:17:13.936658 14263 internal_thread.cpp:78] Started internal thread 14263 on device 0, rank 0
I1115 04:17:13.936717 14134 data_transformer.cpp:40] Loading mean file from: /workspace/jobs/20191115-032633-9cab/train_db/mean.binaryproto
I1115 04:17:13.936735 14131 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 7
I1115 04:17:13.939157 14320 internal_thread.cpp:78] Started internal thread 14320 on device 6, rank 6
I1115 04:17:13.939195 14320 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.940733 14321 internal_thread.cpp:78] Started internal thread 14321 on device 6, rank 6
I1115 04:17:13.940835 14321 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.942625 14322 internal_thread.cpp:78] Started internal thread 14322 on device 6, rank 6
I1115 04:17:13.942658 14322 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.942762 14128 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.942821 14128 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 3
I1115 04:17:13.945247 14323 internal_thread.cpp:78] Started internal thread 14323 on device 7, rank 7
I1115 04:17:13.945315 14323 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.946849 14324 internal_thread.cpp:78] Started internal thread 14324 on device 7, rank 7
I1115 04:17:13.946910 14324 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.948417 14325 internal_thread.cpp:78] Started internal thread 14325 on device 7, rank 7
I1115 04:17:13.948480 14325 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.948501 14142 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.950861 14326 internal_thread.cpp:78] Started internal thread 14326 on device 3, rank 3
I1115 04:17:13.950915 14326 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.952394 14327 internal_thread.cpp:78] Started internal thread 14327 on device 3, rank 3
I1115 04:17:13.952481 14327 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.954072 14328 internal_thread.cpp:78] Started internal thread 14328 on device 3, rank 3
I1115 04:17:13.954133 14328 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.954171 14086 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.954208 14142 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 4
I1115 04:17:13.954298 14149 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:13.954327 14086 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 0
I1115 04:17:13.954351 14149 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 1
I1115 04:17:13.958155 14329 internal_thread.cpp:78] Started internal thread 14329 on device 4, rank 4
I1115 04:17:13.958223 14329 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.960990 14331 internal_thread.cpp:78] Started internal thread 14331 on device 1, rank 1
I1115 04:17:13.961097 14331 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.964273 14330 internal_thread.cpp:78] Started internal thread 14330 on device 0, rank 0
I1115 04:17:13.964316 14330 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.966938 14332 internal_thread.cpp:78] Started internal thread 14332 on device 0, rank 0
I1115 04:17:13.966998 14332 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.968050 14135 data_layer.cpp:199] [n0.d5.r5] Output data size: 4, 3, 384, 1248
I1115 04:17:13.968091 14135 data_layer.cpp:105] [n0.d5.r5] Parser threads: 3 (auto)
I1115 04:17:13.968114 14135 data_layer.cpp:107] [n0.d5.r5] Transformer threads: 4 (auto)
I1115 04:17:13.968879 14333 internal_thread.cpp:78] Started internal thread 14333 on device 4, rank 4
I1115 04:17:13.968936 14333 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.969079 14147 data_layer.cpp:199] [n0.d6.r6] Output data size: 4, 3, 384, 1248
I1115 04:17:13.969151 14147 data_layer.cpp:105] [n0.d6.r6] Parser threads: 3 (auto)
I1115 04:17:13.969175 14147 data_layer.cpp:107] [n0.d6.r6] Transformer threads: 4 (auto)
I1115 04:17:13.970537 14334 internal_thread.cpp:78] Started internal thread 14334 on device 1, rank 1
I1115 04:17:13.970589 14334 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.972347 14336 internal_thread.cpp:78] Started internal thread 14336 on device 4, rank 4
I1115 04:17:13.972427 14336 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.974064 14337 internal_thread.cpp:78] Started internal thread 14337 on device 1, rank 1
I1115 04:17:13.974113 14337 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.976215 14335 internal_thread.cpp:78] Started internal thread 14335 on device 0, rank 0
I1115 04:17:13.976295 14335 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:13.978291 14225 internal_thread.cpp:78] Started internal thread 14225 on device 5, rank 5
I1115 04:17:13.979990 14228 internal_thread.cpp:78] Started internal thread 14228 on device 5, rank 5
I1115 04:17:13.981719 14227 internal_thread.cpp:78] Started internal thread 14227 on device 5, rank 5
I1115 04:17:13.990694 14226 internal_thread.cpp:78] Started internal thread 14226 on device 5, rank 5
I1115 04:17:14.003274 14219 internal_thread.cpp:78] Started internal thread 14219 on device 6, rank 6
I1115 04:17:14.006772 14218 internal_thread.cpp:78] Started internal thread 14218 on device 6, rank 6
I1115 04:17:14.009804 14217 internal_thread.cpp:78] Started internal thread 14217 on device 6, rank 6
I1115 04:17:14.013464 14220 internal_thread.cpp:78] Started internal thread 14220 on device 6, rank 6
I1115 04:17:14.013576 14134 data_reader.cpp:60] Data Reader threads: 3, out queues: 12, depth: 4
I1115 04:17:14.013643 14134 internal_thread.cpp:18] {0} Starting 3 internal thread(s) on device 2
I1115 04:17:14.017765 14338 internal_thread.cpp:78] Started internal thread 14338 on device 2, rank 2
I1115 04:17:14.017819 14338 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:14.019326 14339 internal_thread.cpp:78] Started internal thread 14339 on device 2, rank 2
I1115 04:17:14.019403 14339 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:14.020965 14340 internal_thread.cpp:78] Started internal thread 14340 on device 2, rank 2
I1115 04:17:14.021034 14340 db_lmdb.cpp:36] Opened lmdb /workspace/jobs/20191115-032633-9cab/train_db/features
I1115 04:17:14.022346 14131 data_layer.cpp:199] [n0.d7.r7] Output data size: 4, 3, 384, 1248
I1115 04:17:14.022434 14131 data_layer.cpp:105] [n0.d7.r7] Parser threads: 3 (auto)
I1115 04:17:14.022460 14131 data_layer.cpp:107] [n0.d7.r7] Transformer threads: 4 (auto)
I1115 04:17:14.024348 14237 internal_thread.cpp:78] Started internal thread 14237 on device 7, rank 7
I1115 04:17:14.026064 14238 internal_thread.cpp:78] Started internal thread 14238 on device 7, rank 7
I1115 04:17:14.027783 14240 internal_thread.cpp:78] Started internal thread 14240 on device 7, rank 7
I1115 04:17:14.028424 14128 data_layer.cpp:199] [n0.d3.r3] Output data size: 4, 3, 384, 1248
I1115 04:17:14.028463 14128 data_layer.cpp:105] [n0.d3.r3] Parser threads: 3 (auto)
I1115 04:17:14.028470 14128 data_layer.cpp:107] [n0.d3.r3] Transformer threads: 4 (auto)
I1115 04:17:14.029561 14239 internal_thread.cpp:78] Started internal thread 14239 on device 7, rank 7
I1115 04:17:14.030668 14142 data_layer.cpp:199] [n0.d4.r4] Output data size: 4, 3, 384, 1248
I1115 04:17:14.030737 14142 data_layer.cpp:105] [n0.d4.r4] Parser threads: 3 (auto)
I1115 04:17:14.030762 14142 data_layer.cpp:107] [n0.d4.r4] Transformer threads: 4 (auto)
I1115 04:17:14.031253 14258 internal_thread.cpp:78] Started internal thread 14258 on device 3, rank 3
I1115 04:17:14.032812 14149 data_layer.cpp:199] [n0.d1.r1] Output data size: 4, 3, 384, 1248
I1115 04:17:14.032852 14149 data_layer.cpp:105] [n0.d1.r1] Parser threads: 3 (auto)
I1115 04:17:14.032863 14149 data_layer.cpp:107] [n0.d1.r1] Transformer threads: 4 (auto)
I1115 04:17:14.033066 14086 data_layer.cpp:199] [n0.d0.r0] Output data size: 4, 3, 384, 1248
I1115 04:17:14.033108 14086 data_layer.cpp:105] [n0.d0.r0] Parser threads: 3 (auto)
I1115 04:17:14.033115 14086 data_layer.cpp:107] [n0.d0.r0] Transformer threads: 4 (auto)
I1115 04:17:14.033198 14259 internal_thread.cpp:78] Started internal thread 14259 on device 3, rank 3
I1115 04:17:14.034798 14260 internal_thread.cpp:78] Started internal thread 14260 on device 3, rank 3
I1115 04:17:14.036566 14257 internal_thread.cpp:78] Started internal thread 14257 on device 3, rank 3
I1115 04:17:14.045764 14235 internal_thread.cpp:78] Started internal thread 14235 on device 4, rank 4
I1115 04:17:14.084087 14234 internal_thread.cpp:78] Started internal thread 14234 on device 4, rank 4
I1115 04:17:14.088672 14236 internal_thread.cpp:78] Started internal thread 14236 on device 4, rank 4
I1115 04:17:14.093463 14233 internal_thread.cpp:78] Started internal thread 14233 on device 4, rank 4
I1115 04:17:14.098001 14275 internal_thread.cpp:78] Started internal thread 14275 on device 1, rank 1
I1115 04:17:14.102804 14274 internal_thread.cpp:78] Started internal thread 14274 on device 1, rank 1
I1115 04:17:14.107429 14273 internal_thread.cpp:78] Started internal thread 14273 on device 1, rank 1
I1115 04:17:14.111349 14276 internal_thread.cpp:78] Started internal thread 14276 on device 1, rank 1
I1115 04:17:14.116633 14265 internal_thread.cpp:78] Started internal thread 14265 on device 0, rank 0
I1115 04:17:14.120447 14267 internal_thread.cpp:78] Started internal thread 14267 on device 0, rank 0
I1115 04:17:14.122902 14268 internal_thread.cpp:78] Started internal thread 14268 on device 0, rank 0
I1115 04:17:14.123216 14134 data_layer.cpp:199] [n0.d2.r2] Output data size: 4, 3, 384, 1248
I1115 04:17:14.123279 14134 data_layer.cpp:105] [n0.d2.r2] Parser threads: 3 (auto)
I1115 04:17:14.123287 14134 data_layer.cpp:107] [n0.d2.r2] Transformer threads: 4 (auto)
I1115 04:17:14.125026 14266 internal_thread.cpp:78] Started internal thread 14266 on device 0, rank 0
I1115 04:17:14.126758 14250 internal_thread.cpp:78] Started internal thread 14250 on device 2, rank 2
I1115 04:17:14.128341 14251 internal_thread.cpp:78] Started internal thread 14251 on device 2, rank 2
I1115 04:17:14.130055 14249 internal_thread.cpp:78] Started internal thread 14249 on device 2, rank 2
I1115 04:17:14.131656 14252 internal_thread.cpp:78] Started internal thread 14252 on device 2, rank 2
I1115 04:17:19.259713 14098 solver.cpp:342]     [0.0] Iteration 0 (5.91187 s), loss = 285.301
I1115 04:17:19.259754 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 28.6642 (* 2 = 57.3284 loss)
I1115 04:17:19.259778 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 227.973 (* 1 = 227.973 loss)
I1115 04:17:19.259788 14098 sgd_solver.cpp:180] [0.0] Iteration 0, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:17:19.361783 14098 solver.cpp:342]     [0.0] Iteration 1 (0.101956 s), loss = 57.8081
I1115 04:17:19.361882 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.67148 (* 2 = 11.343 loss)
I1115 04:17:19.361893 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 46.4651 (* 1 = 46.4651 loss)
I1115 04:17:19.636158 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 3 	(avail 27.9G, req 4.19M)	t: 0 0 1.23
I1115 04:17:19.650586 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 3 	(avail 27.9G, req 4.19M)	t: 0 0 1.25
I1115 04:17:20.106154 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 3 	(avail 27.9G, req 4.19M)	t: 0 0 1.37
I1115 04:17:20.177832 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0 1.24
I1115 04:17:20.183001 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0 1.28
I1115 04:17:20.214470 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0 1.25
I1115 04:17:20.530611 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 0 	(avail 27.5G, req 4.19M)	t: 0 0 1.39
I1115 04:17:20.606032 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'conv1/7x7_s2' with space 4.19M 3/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0 1.27
I1115 04:17:20.641773 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.14 0.27
I1115 04:17:20.648185 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.17 0.32
I1115 04:17:20.654870 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.14 0.28
I1115 04:17:21.128492 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.14 0.27
I1115 04:17:21.134827 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.16 0.28
I1115 04:17:21.138278 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.5G, req 4.19M)	t: 0 0.14 0.28
I1115 04:17:21.202775 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.14 0.28
I1115 04:17:21.609118 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'conv2/3x3_reduce' with space 4.19M 64/1 1 1 0 	(avail 27.9G, req 4.19M)	t: 0 0.14 0.29
I1115 04:17:21.686131 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.1 1.96
I1115 04:17:21.689617 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.1 1.95
I1115 04:17:21.695650 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.08 1.96
I1115 04:17:22.149212 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.12 1.95
I1115 04:17:22.498625 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.08 1.96
I1115 04:17:22.516134 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 1.12 1.96
I1115 04:17:22.628466 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.1 1.97
I1115 04:17:22.633213 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'conv2/3x3' with space 0.28G 64/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 1.13 1.96
I1115 04:17:23.099195 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.19
I1115 04:17:23.104575 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.21
I1115 04:17:23.451261 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.22
I1115 04:17:23.488204 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.22
I1115 04:17:23.586789 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.23
I1115 04:17:23.608108 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.2
I1115 04:17:24.017004 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.21
I1115 04:17:24.414573 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/1x1' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.21
I1115 04:17:24.536870 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.23
I1115 04:17:24.541152 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.22
I1115 04:17:24.888486 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.23
I1115 04:17:24.923511 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.23
I1115 04:17:25.018512 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.14 0.25
I1115 04:17:25.038977 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.21
I1115 04:17:25.456218 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.24
I1115 04:17:25.846043 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/3x3_reduce' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.23
I1115 04:17:25.981238 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.36
I1115 04:17:25.984477 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.35
I1115 04:17:26.319154 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.38
I1115 04:17:26.352077 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.35 0.37
I1115 04:17:26.473351 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.33 0.36
I1115 04:17:26.477494 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.33 0.36
I1115 04:17:26.955962 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:17:26.963699 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.12
I1115 04:17:26.976994 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.13
I1115 04:17:27.280102 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.36
I1115 04:17:27.321955 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.36
I1115 04:17:27.331497 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:17:27.504976 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:27.833444 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:17:27.842324 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.12
I1115 04:17:27.856870 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.12
I1115 04:17:27.926512 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.12
I1115 04:17:27.963117 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:17:28.314764 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.26 0.12
I1115 04:17:28.324232 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/5x5_reduce' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.17
I1115 04:17:28.332847 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.26 0.12
I1115 04:17:28.522907 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.12
I1115 04:17:28.537590 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.14
I1115 04:17:28.774549 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.13
I1115 04:17:28.777320 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.12
I1115 04:17:29.016454 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.12
I1115 04:17:29.052448 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/5x5' with space 0.28G 16/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.12
I1115 04:17:29.064009 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.13
I1115 04:17:29.287782 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.09 0.13
I1115 04:17:29.355857 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.24
I1115 04:17:29.360908 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.24
I1115 04:17:29.462200 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.14
I1115 04:17:29.790151 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.21 0.24
I1115 04:17:29.811714 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.13
I1115 04:17:29.963135 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3a/pool_proj' with space 0.28G 192/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.14
I1115 04:17:29.998615 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.23
I1115 04:17:30.021735 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.21 0.24
I1115 04:17:30.029538 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.23
I1115 04:17:30.287923 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.24
I1115 04:17:30.347052 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.24
I1115 04:17:30.414067 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.24
I1115 04:17:30.747129 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.24
I1115 04:17:30.795235 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/1x1' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.23
I1115 04:17:30.834446 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.3
I1115 04:17:30.841359 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.23 0.24
I1115 04:17:30.984715 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.27
I1115 04:17:31.365022 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.23
I1115 04:17:31.371397 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.56 0.55
I1115 04:17:31.383550 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.59 0.55
I1115 04:17:31.736160 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.56 0.55
I1115 04:17:31.744408 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/3x3_reduce' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.24
I1115 04:17:31.944254 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:17:32.509593 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:32.530943 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:32.867280 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.58 0.55
I1115 04:17:32.888191 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.57 0.56
I1115 04:17:32.895823 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.56 0.55
I1115 04:17:32.942543 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.55 0.56
I1115 04:17:33.050760 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.67 0.6
I1115 04:17:33.095208 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.59 0.55
I1115 04:17:33.469090 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.66 0.6
I1115 04:17:33.474339 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.64 0.6
I1115 04:17:33.824601 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:33.861163 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:33.943828 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:33.972658 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:34.405889 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/5x5_reduce' with space 0.28G 256/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.16
I1115 04:17:34.407873 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.25
I1115 04:17:34.921885 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.66 0.62
I1115 04:17:34.928604 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.65 0.62
I1115 04:17:34.941622 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.65 0.64
I1115 04:17:34.946702 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.71 0.6
I1115 04:17:35.254519 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.26
I1115 04:17:35.324762 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.28
I1115 04:17:35.440639 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.66 0.6
I1115 04:17:35.854108 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.22
I1115 04:17:35.858454 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.26
I1115 04:17:36.254087 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.26
I1115 04:17:36.405062 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.26
I1115 04:17:36.418952 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.18 0.25
I1115 04:17:36.728430 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.23
I1115 04:17:36.760928 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.22
I1115 04:17:36.857538 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_3b/pool_proj' with space 0.28G 256/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.26
I1115 04:17:37.260259 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.15
I1115 04:17:37.682050 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.26
I1115 04:17:37.826910 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.22
I1115 04:17:37.832345 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.16
I1115 04:17:37.837210 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.23
I1115 04:17:38.178432 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.15 0.24
I1115 04:17:38.224220 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.16
I1115 04:17:38.334259 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.16
I1115 04:17:38.344286 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/1x1' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.26
I1115 04:17:38.753527 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.16
I1115 04:17:38.770854 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.15
I1115 04:17:39.144234 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.18
I1115 04:17:39.201740 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:39.208554 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.21 0.16
I1115 04:17:39.236644 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:39.597288 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.1 0.17
I1115 04:17:39.712385 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.14
I1115 04:17:39.749692 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/3x3_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.16
I1115 04:17:40.121345 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.16
I1115 04:17:40.126850 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.09
I1115 04:17:40.145226 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.21 0.16
I1115 04:17:40.201222 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.11
I1115 04:17:40.282368 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.16
I1115 04:17:40.310171 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.09
I1115 04:17:40.602931 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.2 0.16
I1115 04:17:40.738636 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.11
I1115 04:17:40.742987 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.1
I1115 04:17:41.075737 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/3x3' with space 0.28G 96/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.19
I1115 04:17:41.111004 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.09
I1115 04:17:41.234455 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.13
I1115 04:17:41.288589 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.1
I1115 04:17:41.350668 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.06 0.11
I1115 04:17:41.360515 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.16
I1115 04:17:41.593549 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.09
I1115 04:17:41.611295 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.09
I1115 04:17:41.726366 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/5x5_reduce' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.11
I1115 04:17:41.826568 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.12
I1115 04:17:42.117636 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.09
I1115 04:17:42.140122 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.09
I1115 04:17:42.318965 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.23
I1115 04:17:42.321993 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.22
I1115 04:17:42.363931 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/5x5' with space 0.28G 16/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.11
I1115 04:17:42.551810 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.15
I1115 04:17:42.586434 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:42.854617 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.23
I1115 04:17:42.858335 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:43.061849 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.12
I1115 04:17:43.358774 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4a/pool_proj' with space 0.28G 480/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:43.362417 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.15
I1115 04:17:43.574410 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:17:43.577379 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.23
I1115 04:17:43.755566 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:43.808821 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.23
I1115 04:17:44.107650 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.22
I1115 04:17:44.110342 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.16 0.27
I1115 04:17:44.112983 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.17
I1115 04:17:44.518292 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.17
I1115 04:17:44.547587 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.21 0.17
I1115 04:17:44.554394 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.23
I1115 04:17:44.805764 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.16
I1115 04:17:44.849254 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:17:45.001287 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.13
I1115 04:17:45.041225 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:45.355916 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.11
I1115 04:17:45.363309 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.1 0.17
I1115 04:17:45.368934 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.1
I1115 04:17:45.398085 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.17
I1115 04:17:45.491595 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.16
I1115 04:17:45.812099 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.11
I1115 04:17:45.832520 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.17
I1115 04:17:45.964421 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.12
I1115 04:17:45.993161 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.17
I1115 04:17:46.292421 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.12
I1115 04:17:46.333536 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.23 0.16
I1115 04:17:46.393687 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:46.485374 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/3x3' with space 0.28G 112/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.16
I1115 04:17:46.499564 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:17:46.764248 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.11
I1115 04:17:46.929549 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:46.936137 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:47.243782 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.14
I1115 04:17:47.260119 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.07 0.11
I1115 04:17:47.387430 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.12
I1115 04:17:47.396054 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.11
I1115 04:17:47.723225 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:17:47.802891 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.13
I1115 04:17:47.849665 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.21
I1115 04:17:47.854161 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.16
I1115 04:17:48.261534 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.22G, req 0.28G)	t: 0 0.15 0.13
I1115 04:17:48.264125 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.12
I1115 04:17:48.299842 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:48.428655 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.14
I1115 04:17:48.447751 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:48.928866 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:17:48.939282 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.13
I1115 04:17:48.977778 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:48.979876 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:17:49.429909 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4b/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.18
I1115 04:17:49.432351 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:49.904666 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.16
I1115 04:17:49.909379 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.18
I1115 04:17:50.264365 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:50.391341 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.18
I1115 04:17:50.405331 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.19
I1115 04:17:50.756996 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:50.868238 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.19
I1115 04:17:51.220476 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.18
I1115 04:17:51.350803 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:51.356997 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.11
I1115 04:17:51.365623 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:17:51.703023 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:51.749048 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:51.886387 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:52.263372 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.12
I1115 04:17:52.290861 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.26 0.17
I1115 04:17:52.299041 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.13
I1115 04:17:52.343111 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:17:52.375859 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.17
I1115 04:17:52.429270 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.18
I1115 04:17:52.807658 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.19
I1115 04:17:52.826128 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.23 0.18
I1115 04:17:53.201208 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:53.224259 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.12
I1115 04:17:53.290304 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.13
I1115 04:17:53.298028 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:17:53.344718 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.11
I1115 04:17:53.440330 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/3x3' with space 0.28G 128/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.17
I1115 04:17:53.659046 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:53.772881 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:53.787204 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.11
I1115 04:17:53.873953 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.15
I1115 04:17:54.171808 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.12
I1115 04:17:54.175221 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:17:54.186220 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.16
I1115 04:17:54.204057 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:54.387392 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.17
I1115 04:17:54.434794 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.22G, req 0.28G)	t: 0 0.15 0.12
I1115 04:17:54.719481 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.16
I1115 04:17:54.721292 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.13
I1115 04:17:54.724350 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/5x5' with space 0.28G 24/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.11
I1115 04:17:54.728904 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.13
I1115 04:17:55.291054 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:55.304850 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.23
I1115 04:17:55.649402 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.25
I1115 04:17:55.701362 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.13
I1115 04:17:55.862303 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4c/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.14
I1115 04:17:55.864410 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.16
I1115 04:17:56.271054 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.16
I1115 04:17:56.386072 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.22
I1115 04:17:56.390539 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.27 0.32
I1115 04:17:56.397516 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.18
I1115 04:17:56.404508 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.28 0.31
I1115 04:17:56.845463 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.11 0.15
I1115 04:17:57.321231 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/1x1' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:17:57.323768 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.23
I1115 04:17:57.747843 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.22
I1115 04:17:57.830036 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.12
I1115 04:17:57.851841 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.11
I1115 04:17:57.855860 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.31
I1115 04:17:58.326267 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.24
I1115 04:17:58.330159 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.13 0.23
I1115 04:17:58.837510 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.14
I1115 04:17:58.853564 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.32 0.32
I1115 04:17:58.860034 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.27 0.31
I1115 04:17:59.169996 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/3x3_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.26
I1115 04:17:59.192435 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 0 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.12
I1115 04:17:59.229053 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.1
I1115 04:17:59.373231 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.31
I1115 04:17:59.754262 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.3 0.31
I1115 04:17:59.767896 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.06 0.13
I1115 04:17:59.769455 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:18:00.120362 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.13
I1115 04:18:00.140506 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.12
I1115 04:18:00.327771 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.13
I1115 04:18:00.335464 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/3x3' with space 0.28G 144/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.31
I1115 04:18:00.356336 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:18:00.716403 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.12
I1115 04:18:00.743558 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.07 0.12
I1115 04:18:00.753501 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.14
I1115 04:18:00.812885 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.24
I1115 04:18:01.127614 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.25
I1115 04:18:01.156270 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:18:01.203441 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/5x5_reduce' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.11
I1115 04:18:01.228818 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 0 3 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.13
I1115 04:18:01.381556 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 3 0 	(avail 27.22G, req 0.28G)	t: 0 0.2 0.12
I1115 04:18:01.405407 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:01.781771 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.25
I1115 04:18:01.792759 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:18:01.860827 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.18 0.12
I1115 04:18:01.880323 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.25
I1115 04:18:02.212388 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:02.220026 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:02.241843 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.29
I1115 04:18:02.340006 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.23
I1115 04:18:02.471091 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.25
I1115 04:18:02.740811 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.14 0.24
I1115 04:18:02.771461 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.25
I1115 04:18:02.924896 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.22 0.27
I1115 04:18:02.942853 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4d/pool_proj' with space 0.28G 512/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:02.947132 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.31 0.33
I1115 04:18:03.205904 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.32
I1115 04:18:03.394670 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.23
I1115 04:18:03.522516 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.23
I1115 04:18:03.540938 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.33
I1115 04:18:03.542570 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.15 0.27
I1115 04:18:03.719844 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/1x1' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.26
I1115 04:18:03.929972 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.11
I1115 04:18:03.987924 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.1
I1115 04:18:04.175290 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.23
I1115 04:18:04.447470 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.11
I1115 04:18:04.453150 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.33 0.34
I1115 04:18:04.471125 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.32
I1115 04:18:04.652285 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:04.681272 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.36 0.32
I1115 04:18:04.900002 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.19
I1115 04:18:04.904101 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/3x3_reduce' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.15 0.23
I1115 04:18:05.169278 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.31 0.33
I1115 04:18:05.184945 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.21
I1115 04:18:05.199005 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.11
I1115 04:18:05.382378 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.12
I1115 04:18:05.458278 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.07 0.13
I1115 04:18:05.632957 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.17
I1115 04:18:05.650779 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:18:05.965472 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.33 0.32
I1115 04:18:06.101450 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:18:06.120663 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.12
I1115 04:18:06.147852 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.2
I1115 04:18:06.413982 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.21
I1115 04:18:06.446764 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.22G, req 0.28G)	t: 0 0.24 0.19
I1115 04:18:06.484300 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.38
I1115 04:18:06.534570 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.42
I1115 04:18:06.873728 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/5x5_reduce' with space 0.28G 528/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.07 0.12
I1115 04:18:06.896560 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.27 0.39
I1115 04:18:06.991895 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:07.176264 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:18:07.199441 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.37
I1115 04:18:07.226774 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.17
I1115 04:18:07.373522 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.15 0.17
I1115 04:18:07.542683 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 3 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.38
I1115 04:18:07.581091 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/5x5' with space 0.28G 32/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:07.618618 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.36
I1115 04:18:07.812757 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.4
I1115 04:18:07.814251 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.35
I1115 04:18:07.817502 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.29 0.32
I1115 04:18:07.820832 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.16
I1115 04:18:08.295114 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.31 0.32
I1115 04:18:08.349220 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.33
I1115 04:18:08.368916 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_4e/pool_proj' with space 0.28G 528/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.16
I1115 04:18:08.694985 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.39
I1115 04:18:08.698698 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.34
I1115 04:18:08.702209 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.2 0.37
I1115 04:18:08.713513 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.39
I1115 04:18:08.815850 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.33
I1115 04:18:09.075000 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.12
I1115 04:18:09.311803 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.38
I1115 04:18:09.409999 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.12
I1115 04:18:09.417682 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.19 0.37
I1115 04:18:09.432447 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.31 0.31
I1115 04:18:09.566113 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.32
I1115 04:18:09.593567 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.33 0.32
I1115 04:18:09.904083 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.16
I1115 04:18:09.921483 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.19
I1115 04:18:10.046227 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.37
I1115 04:18:10.251740 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.18
I1115 04:18:10.306941 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.12
I1115 04:18:10.383450 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.29 0.32
I1115 04:18:10.516649 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.13
I1115 04:18:10.570449 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.09 0.12
I1115 04:18:10.590723 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:10.850308 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.21
I1115 04:18:10.858376 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:11.048343 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/3x3' with space 0.28G 160/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.3 0.34
I1115 04:18:11.251621 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.18
I1115 04:18:11.256067 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.22G, req 0.28G)	t: 0 0.24 0.2
I1115 04:18:11.268091 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.22
I1115 04:18:11.540052 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.12
I1115 04:18:11.667968 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.4 0.53
I1115 04:18:11.745472 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.21
I1115 04:18:12.117281 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.41 0.52
I1115 04:18:12.143738 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/5x5_reduce' with space 0.28G 832/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.12
I1115 04:18:12.146987 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.24 0.19
I1115 04:18:12.231243 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.21
I1115 04:18:12.259954 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.22
I1115 04:18:12.554577 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.38
I1115 04:18:12.669396 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.41 0.52
I1115 04:18:12.729185 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.17 0.22
I1115 04:18:12.733327 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.39
I1115 04:18:12.752283 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/5x5' with space 0.28G 32/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.25 0.2
I1115 04:18:13.140719 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.43 0.52
I1115 04:18:13.156625 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.41 0.52
I1115 04:18:13.180480 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.21
I1115 04:18:13.237629 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.37
I1115 04:18:13.508668 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.44 0.52
I1115 04:18:13.710041 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.45 0.38
I1115 04:18:13.736564 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.45 0.37
I1115 04:18:14.087869 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.22 0.38
I1115 04:18:14.171722 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.38
I1115 04:18:14.214453 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.42 0.52
I1115 04:18:14.217182 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5a/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.22
I1115 04:18:14.229178 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.22 0.38
I1115 04:18:14.673240 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.19
I1115 04:18:14.690497 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.45 0.4
I1115 04:18:15.151536 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.37
I1115 04:18:15.158205 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.17
I1115 04:18:15.162915 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/1x1' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.41 0.52
I1115 04:18:15.234097 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.47 0.39
I1115 04:18:15.260361 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.48 0.38
I1115 04:18:15.613951 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 1 0 1 	(avail 27.63G, req 0.28G)	t: 0 0.32 0.28
I1115 04:18:15.716006 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.22G, req 0.28G)	t: 0 0.46 0.37
I1115 04:18:16.025213 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/3x3_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.23 0.37
I1115 04:18:16.042215 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.17
I1115 04:18:16.046504 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 0 0 3 	(avail 27.63G, req 0.28G)	t: 0 0.35 0.28
I1115 04:18:16.145246 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.44 0.38
I1115 04:18:16.187592 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.2
I1115 04:18:16.610711 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.12 0.17
I1115 04:18:16.617995 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.1 0.18
I1115 04:18:16.672600 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.21
I1115 04:18:16.977458 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 0 0 5 	(avail 27.63G, req 0.28G)	t: 0 0.35 0.28
I1115 04:18:17.142479 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.35 0.29
I1115 04:18:17.144294 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/3x3' with space 0.28G 192/1 6 4 5 	(avail 27.63G, req 0.28G)	t: 0 0.46 0.38
I1115 04:18:17.152528 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.2 0.21
I1115 04:18:17.502549 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 1 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.33 0.28
I1115 04:18:17.582681 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 1 0 3 	(avail 27.22G, req 0.28G)	t: 0 0.34 0.29
I1115 04:18:17.610822 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.13
I1115 04:18:17.651309 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.17
I1115 04:18:18.020596 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.13
I1115 04:18:18.024432 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.2
I1115 04:18:18.555657 14103 cudnn_conv_layer.cpp:859] [n0.d5.r5] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:18.560075 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/5x5_reduce' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.19
I1115 04:18:18.565273 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.21
I1115 04:18:18.578126 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.21
I1115 04:18:18.581768 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.2 0.21
I1115 04:18:18.940229 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 0 0 0 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.28
I1115 04:18:19.041143 14102 cudnn_conv_layer.cpp:859] [n0.d4.r4] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.11 0.14
I1115 04:18:19.120769 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.14
I1115 04:18:19.144039 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.1 0.14
I1115 04:18:19.505497 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/5x5' with space 0.28G 48/1 0 0 3 	(avail 27.63G, req 0.28G)	t: 0 0.34 0.28
I1115 04:18:19.581282 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.13 0.14
I1115 04:18:19.588498 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:19.691828 14104 cudnn_conv_layer.cpp:859] [n0.d6.r6] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.16
I1115 04:18:19.699893 14101 cudnn_conv_layer.cpp:859] [n0.d3.r3] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:19.754119 14100 cudnn_conv_layer.cpp:859] [n0.d2.r2] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.09 0.13
I1115 04:18:19.775856 14098 cudnn_conv_layer.cpp:859] [n0.d0.r0] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.22G, req 0.28G)	t: 0 0.08 0.15
I1115 04:18:19.856931 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.16 0.2
I1115 04:18:20.325129 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'inception_5b/pool_proj' with space 0.28G 832/1 1 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.17 0.21
I1115 04:18:20.831195 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:21.297617 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'cvg/classifier' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:21.386440 14105 cudnn_conv_layer.cpp:859] [n0.d7.r7] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:21.424844 14099 cudnn_conv_layer.cpp:859] [n0.d1.r1] Conv Algos (F,BD,BF): 'bbox/regressor' with space 0.28G 1024/1 0 1 0 	(avail 27.63G, req 0.28G)	t: 0 0.08 0.13
I1115 04:18:21.474895 14098 solver.cpp:342]     [0.0] Iteration 2 (62.1135 s), loss = 74.3512
I1115 04:18:21.474941 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 17.5334 (* 2 = 35.0668 loss)
I1115 04:18:21.474959 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 39.2843 (* 1 = 39.2843 loss)
I1115 04:18:23.159765 14098 solver.cpp:337]     [0.0] Iteration 25 (13.6511 iter/s, 1.68485s/23 iter), loss = 19.9844
I1115 04:18:23.159828 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.3656 (* 2 = 14.7312 loss)
I1115 04:18:23.159840 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.25314 (* 1 = 5.25314 loss)
I1115 04:18:23.159849 14098 sgd_solver.cpp:180] [0.0] Iteration 25, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:24.979980 14098 solver.cpp:337]     [0.0] Iteration 50 (13.7346 iter/s, 1.82022s/25 iter), loss = 42.2134
I1115 04:18:24.980034 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 10.919 (* 2 = 21.838 loss)
I1115 04:18:24.980046 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 20.3755 (* 1 = 20.3755 loss)
I1115 04:18:24.980057 14098 sgd_solver.cpp:180] [0.0] Iteration 50, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:26.793526 14098 solver.cpp:337]     [0.0] Iteration 75 (13.7851 iter/s, 1.81356s/25 iter), loss = 42.9276
I1115 04:18:26.793582 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 9.83881 (* 2 = 19.6776 loss)
I1115 04:18:26.793594 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 23.25 (* 1 = 23.25 loss)
I1115 04:18:26.793603 14098 sgd_solver.cpp:180] [0.0] Iteration 75, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:28.603946 14098 solver.cpp:337]     [0.0] Iteration 100 (13.809 iter/s, 1.81041s/25 iter), loss = 52.8388
I1115 04:18:28.604002 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.79425 (* 2 = 15.5885 loss)
I1115 04:18:28.604015 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 37.2503 (* 1 = 37.2503 loss)
I1115 04:18:28.604027 14098 sgd_solver.cpp:180] [0.0] Iteration 100, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:30.407462 14098 solver.cpp:337]     [0.0] Iteration 125 (13.862 iter/s, 1.80349s/25 iter), loss = 94.9256
I1115 04:18:30.407518 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 18.2768 (* 2 = 36.5537 loss)
I1115 04:18:30.407531 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 58.3719 (* 1 = 58.3719 loss)
I1115 04:18:30.407539 14098 sgd_solver.cpp:180] [0.0] Iteration 125, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:32.205262 14098 solver.cpp:337]     [0.0] Iteration 150 (13.9057 iter/s, 1.79782s/25 iter), loss = 23.4222
I1115 04:18:32.205322 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.02347 (* 2 = 10.0469 loss)
I1115 04:18:32.205334 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.3753 (* 1 = 13.3753 loss)
I1115 04:18:32.205343 14098 sgd_solver.cpp:180] [0.0] Iteration 150, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:33.729614 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:33.802006 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:34.019093 14098 solver.cpp:337]     [0.0] Iteration 175 (13.7831 iter/s, 1.81381s/25 iter), 0.9/30.1ep, loss = 50.9306
I1115 04:18:34.019142 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 11.5123 (* 2 = 23.0246 loss)
I1115 04:18:34.019168 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 27.906 (* 1 = 27.906 loss)
I1115 04:18:34.019177 14098 sgd_solver.cpp:180] [0.0] Iteration 175, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:35.751094 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_200.caffemodel
I1115 04:18:35.962023 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_200.solverstate
I1115 04:18:36.064589 14098 solver.cpp:494] Iteration 200, Testing net (#0)
I1115 04:18:38.371847 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:38.487095 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:38.640945 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 4.96939 (* 2 = 9.93878 loss)
I1115 04:18:38.640980 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 14.7222 (* 1 = 14.7222 loss)
I1115 04:18:38.640987 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0
I1115 04:18:38.640993 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 0
I1115 04:18:38.641000 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0
I1115 04:18:38.641046 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.62198s
I1115 04:18:38.714392 14098 solver.cpp:337]     [0.0] Iteration 200 (5.40894 iter/s, 4.62198s/25 iter), 1/30.1ep, loss = 26.5427
I1115 04:18:38.714440 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.75033 (* 2 = 7.50065 loss)
I1115 04:18:38.714457 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 19.042 (* 1 = 19.042 loss)
I1115 04:18:38.714474 14098 sgd_solver.cpp:180] [0.0] Iteration 200, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:40.533527 14098 solver.cpp:337]     [0.0] Iteration 225 (13.7427 iter/s, 1.81915s/25 iter), 1.1/30.1ep, loss = 21.0166
I1115 04:18:40.533576 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.03752 (* 2 = 12.075 loss)
I1115 04:18:40.533592 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.94158 (* 1 = 8.94158 loss)
I1115 04:18:40.533607 14098 sgd_solver.cpp:180] [0.0] Iteration 225, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:42.342043 14098 solver.cpp:337]     [0.0] Iteration 250 (13.8236 iter/s, 1.8085s/25 iter), 1.3/30.1ep, loss = 26.4608
I1115 04:18:42.342090 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.70603 (* 2 = 15.4121 loss)
I1115 04:18:42.342103 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.0487 (* 1 = 11.0487 loss)
I1115 04:18:42.342113 14098 sgd_solver.cpp:180] [0.0] Iteration 250, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:44.166498 14098 solver.cpp:337]     [0.0] Iteration 275 (13.7029 iter/s, 1.82443s/25 iter), 1.4/30.1ep, loss = 12.8068
I1115 04:18:44.166743 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.26384 (* 2 = 6.52768 loss)
I1115 04:18:44.166756 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.27911 (* 1 = 6.27911 loss)
I1115 04:18:44.166765 14098 sgd_solver.cpp:180] [0.0] Iteration 275, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:45.979660 14098 solver.cpp:337]     [0.0] Iteration 300 (13.7881 iter/s, 1.81316s/25 iter), 1.5/30.1ep, loss = 11.2758
I1115 04:18:45.979707 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.24792 (* 2 = 6.49585 loss)
I1115 04:18:45.979717 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.77994 (* 1 = 4.77994 loss)
I1115 04:18:45.979725 14098 sgd_solver.cpp:180] [0.0] Iteration 300, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:47.796952 14098 solver.cpp:337]     [0.0] Iteration 325 (13.7569 iter/s, 1.81727s/25 iter), 1.6/30.1ep, loss = 18.7759
I1115 04:18:47.796999 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.49511 (* 2 = 6.99021 loss)
I1115 04:18:47.797010 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.7857 (* 1 = 11.7857 loss)
I1115 04:18:47.797019 14098 sgd_solver.cpp:180] [0.0] Iteration 325, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:49.600066 14098 solver.cpp:337]     [0.0] Iteration 350 (13.865 iter/s, 1.8031s/25 iter), 1.8/30.1ep, loss = 16.5196
I1115 04:18:49.600114 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.24976 (* 2 = 6.49952 loss)
I1115 04:18:49.600126 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.0201 (* 1 = 10.0201 loss)
I1115 04:18:49.600136 14098 sgd_solver.cpp:180] [0.0] Iteration 350, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:50.965950 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:51.061406 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:51.404192 14098 solver.cpp:337]     [0.0] Iteration 375 (13.8571 iter/s, 1.80413s/25 iter), 1.9/30.1ep, loss = 7.35841
I1115 04:18:51.404258 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.07969 (* 2 = 6.15938 loss)
I1115 04:18:51.404268 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.19904 (* 1 = 1.19904 loss)
I1115 04:18:51.404275 14098 sgd_solver.cpp:180] [0.0] Iteration 375, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:53.129205 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_400.caffemodel
I1115 04:18:53.220181 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_400.solverstate
I1115 04:18:53.322501 14098 solver.cpp:494] Iteration 400, Testing net (#0)
I1115 04:18:55.529114 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:55.667491 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:18:55.847771 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 6.35734 (* 2 = 12.7147 loss)
I1115 04:18:55.847815 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 11.9375 (* 1 = 11.9375 loss)
I1115 04:18:55.847822 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0
I1115 04:18:55.847828 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 0
I1115 04:18:55.847833 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0
I1115 04:18:55.847883 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.44372s
I1115 04:18:55.926724 14098 solver.cpp:337]     [0.0] Iteration 400 (5.62592 iter/s, 4.44372s/25 iter), 2/30.1ep, loss = 10.6309
I1115 04:18:55.926782 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.45222 (* 2 = 6.90444 loss)
I1115 04:18:55.926795 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.72644 (* 1 = 3.72644 loss)
I1115 04:18:55.926806 14098 sgd_solver.cpp:180] [0.0] Iteration 400, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:57.738034 14098 solver.cpp:337]     [0.0] Iteration 425 (13.8022 iter/s, 1.8113s/25 iter), 2.1/30.1ep, loss = 31.7022
I1115 04:18:57.738169 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.05194 (* 2 = 16.1039 loss)
I1115 04:18:57.738183 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 15.5984 (* 1 = 15.5984 loss)
I1115 04:18:57.738193 14098 sgd_solver.cpp:180] [0.0] Iteration 425, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:18:59.551221 14098 solver.cpp:337]     [0.0] Iteration 450 (13.7879 iter/s, 1.81318s/25 iter), 2.3/30.1ep, loss = 7.47457
I1115 04:18:59.551270 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.60851 (* 2 = 3.21703 loss)
I1115 04:18:59.551280 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.25756 (* 1 = 4.25756 loss)
I1115 04:18:59.551290 14098 sgd_solver.cpp:180] [0.0] Iteration 450, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:01.349642 14098 solver.cpp:337]     [0.0] Iteration 475 (13.9012 iter/s, 1.79841s/25 iter), 2.4/30.1ep, loss = 19.429
I1115 04:19:01.349722 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.34091 (* 2 = 8.68183 loss)
I1115 04:19:01.349735 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.7472 (* 1 = 10.7472 loss)
I1115 04:19:01.349745 14098 sgd_solver.cpp:180] [0.0] Iteration 475, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:03.153867 14098 solver.cpp:337]     [0.0] Iteration 500 (13.8566 iter/s, 1.8042s/25 iter), 2.5/30.1ep, loss = 7.37877
I1115 04:19:03.153942 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.77848 (* 2 = 5.55696 loss)
I1115 04:19:03.153954 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.82182 (* 1 = 1.82182 loss)
I1115 04:19:03.153964 14098 sgd_solver.cpp:180] [0.0] Iteration 500, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:04.967334 14098 solver.cpp:337]     [0.0] Iteration 525 (13.7859 iter/s, 1.81345s/25 iter), 2.6/30.1ep, loss = 6.77242
I1115 04:19:04.967392 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.1891 (* 2 = 4.3782 loss)
I1115 04:19:04.967422 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.39423 (* 1 = 2.39423 loss)
I1115 04:19:04.967430 14098 sgd_solver.cpp:180] [0.0] Iteration 525, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:06.777038 14098 solver.cpp:337]     [0.0] Iteration 550 (13.8144 iter/s, 1.80971s/25 iter), 2.8/30.1ep, loss = 11.9473
I1115 04:19:06.777088 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.1947 (* 2 = 8.38939 loss)
I1115 04:19:06.777099 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.55794 (* 1 = 3.55794 loss)
I1115 04:19:06.777108 14098 sgd_solver.cpp:180] [0.0] Iteration 550, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:08.215036 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:08.288467 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:08.578856 14098 solver.cpp:337]     [0.0] Iteration 575 (13.8749 iter/s, 1.80182s/25 iter), 2.9/30.1ep, loss = 16.8741
I1115 04:19:08.578903 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.10949 (* 2 = 8.21898 loss)
I1115 04:19:08.578914 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.6551 (* 1 = 8.6551 loss)
I1115 04:19:08.578927 14098 sgd_solver.cpp:180] [0.0] Iteration 575, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:10.322701 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_600.caffemodel
I1115 04:19:10.393848 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_600.solverstate
I1115 04:19:10.496136 14098 solver.cpp:494] Iteration 600, Testing net (#0)
I1115 04:19:12.655740 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:12.790509 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:13.051177 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 4.01065 (* 2 = 8.0213 loss)
I1115 04:19:13.051275 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.7176 (* 1 = 7.7176 loss)
I1115 04:19:13.051283 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0
I1115 04:19:13.051290 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 0
I1115 04:19:13.051295 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0
I1115 04:19:13.051370 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.47253s
I1115 04:19:13.123353 14098 solver.cpp:337]     [0.0] Iteration 600 (5.58968 iter/s, 4.47253s/25 iter), 3/30.1ep, loss = 14.7721
I1115 04:19:13.123400 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.22233 (* 2 = 6.44467 loss)
I1115 04:19:13.123412 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.32745 (* 1 = 8.32745 loss)
I1115 04:19:13.123420 14098 sgd_solver.cpp:180] [0.0] Iteration 600, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:14.928016 14098 solver.cpp:337]     [0.0] Iteration 625 (13.853 iter/s, 1.80466s/25 iter), 3.1/30.1ep, loss = 4.70154
I1115 04:19:14.928318 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.04676 (* 2 = 2.09353 loss)
I1115 04:19:14.928333 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.60802 (* 1 = 2.60802 loss)
I1115 04:19:14.928341 14098 sgd_solver.cpp:180] [0.0] Iteration 625, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:16.736280 14098 solver.cpp:337]     [0.0] Iteration 650 (13.8255 iter/s, 1.80826s/25 iter), 3.3/30.1ep, loss = 24.625
I1115 04:19:16.736320 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.08985 (* 2 = 12.1797 loss)
I1115 04:19:16.736332 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.4454 (* 1 = 12.4454 loss)
I1115 04:19:16.736341 14098 sgd_solver.cpp:180] [0.0] Iteration 650, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:18.537716 14098 solver.cpp:337]     [0.0] Iteration 675 (13.8779 iter/s, 1.80143s/25 iter), 3.4/30.1ep, loss = 27.2252
I1115 04:19:18.537782 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.80599 (* 2 = 17.612 loss)
I1115 04:19:18.537793 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.61323 (* 1 = 9.61323 loss)
I1115 04:19:18.537801 14098 sgd_solver.cpp:180] [0.0] Iteration 675, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:20.333101 14098 solver.cpp:337]     [0.0] Iteration 700 (13.9244 iter/s, 1.79541s/25 iter), 3.5/30.1ep, loss = 7.74652
I1115 04:19:20.333156 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.86585 (* 2 = 3.73169 loss)
I1115 04:19:20.333168 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.01484 (* 1 = 4.01484 loss)
I1115 04:19:20.333175 14098 sgd_solver.cpp:180] [0.0] Iteration 700, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:22.125708 14098 solver.cpp:337]     [0.0] Iteration 725 (13.9461 iter/s, 1.79261s/25 iter), 3.6/30.1ep, loss = 18.7509
I1115 04:19:22.125757 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.81247 (* 2 = 7.62495 loss)
I1115 04:19:22.125771 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.126 (* 1 = 11.126 loss)
I1115 04:19:22.125779 14098 sgd_solver.cpp:180] [0.0] Iteration 725, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:23.924217 14098 solver.cpp:337]     [0.0] Iteration 750 (13.9004 iter/s, 1.79851s/25 iter), 3.8/30.1ep, loss = 10.8488
I1115 04:19:23.924266 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.77285 (* 2 = 5.54569 loss)
I1115 04:19:23.924276 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.30313 (* 1 = 5.30313 loss)
I1115 04:19:23.924285 14098 sgd_solver.cpp:180] [0.0] Iteration 750, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:25.216313 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:25.289505 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:25.717711 14098 solver.cpp:337]     [0.0] Iteration 775 (13.9393 iter/s, 1.79349s/25 iter), 3.9/30.1ep, loss = 8.67416
I1115 04:19:25.717761 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.05169 (* 2 = 6.10338 loss)
I1115 04:19:25.717772 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.57079 (* 1 = 2.57079 loss)
I1115 04:19:25.717780 14098 sgd_solver.cpp:180] [0.0] Iteration 775, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:27.463732 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_800.caffemodel
I1115 04:19:27.558203 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_800.solverstate
I1115 04:19:27.660533 14098 solver.cpp:494] Iteration 800, Testing net (#0)
I1115 04:19:29.793859 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:29.925770 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:30.187153 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 4.24835 (* 2 = 8.49671 loss)
I1115 04:19:30.187189 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 9.15834 (* 1 = 9.15834 loss)
I1115 04:19:30.187258 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.10989
I1115 04:19:30.187268 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 2.85714
I1115 04:19:30.187273 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.10989
I1115 04:19:30.187325 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.46965s
I1115 04:19:30.259196 14098 solver.cpp:337]     [0.0] Iteration 800 (5.59328 iter/s, 4.46965s/25 iter), 4/30.1ep, loss = 27.7848
I1115 04:19:30.259243 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.73423 (* 2 = 15.4685 loss)
I1115 04:19:30.259254 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.3163 (* 1 = 12.3163 loss)
I1115 04:19:30.259265 14098 sgd_solver.cpp:180] [0.0] Iteration 800, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:32.083959 14098 solver.cpp:337]     [0.0] Iteration 825 (13.7004 iter/s, 1.82477s/25 iter), 4.1/30.1ep, loss = 21.469
I1115 04:19:32.084000 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.08066 (* 2 = 10.1613 loss)
I1115 04:19:32.084012 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.3077 (* 1 = 11.3077 loss)
I1115 04:19:32.084020 14098 sgd_solver.cpp:180] [0.0] Iteration 825, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:33.887504 14098 solver.cpp:337]     [0.0] Iteration 850 (13.8616 iter/s, 1.80355s/25 iter), 4.3/30.1ep, loss = 13.6786
I1115 04:19:33.887570 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.73519 (* 2 = 9.47038 loss)
I1115 04:19:33.887581 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.20822 (* 1 = 4.20822 loss)
I1115 04:19:33.887589 14098 sgd_solver.cpp:180] [0.0] Iteration 850, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:35.712055 14098 solver.cpp:337]     [0.0] Iteration 875 (13.7021 iter/s, 1.82454s/25 iter), 4.4/30.1ep, loss = 32.5939
I1115 04:19:35.712117 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.89236 (* 2 = 15.7847 loss)
I1115 04:19:35.712128 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 16.8092 (* 1 = 16.8092 loss)
I1115 04:19:35.712137 14098 sgd_solver.cpp:180] [0.0] Iteration 875, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:37.506264 14098 solver.cpp:337]     [0.0] Iteration 900 (13.9336 iter/s, 1.79422s/25 iter), 4.5/30.1ep, loss = 23.5355
I1115 04:19:37.506312 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.48102 (* 2 = 10.962 loss)
I1115 04:19:37.506325 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.5734 (* 1 = 12.5734 loss)
I1115 04:19:37.506333 14098 sgd_solver.cpp:180] [0.0] Iteration 900, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:39.329581 14098 solver.cpp:337]     [0.0] Iteration 925 (13.7113 iter/s, 1.82332s/25 iter), 4.6/30.1ep, loss = 27.9948
I1115 04:19:39.329629 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.15513 (* 2 = 16.3103 loss)
I1115 04:19:39.329640 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.6846 (* 1 = 11.6846 loss)
I1115 04:19:39.329649 14098 sgd_solver.cpp:180] [0.0] Iteration 925, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:41.147503 14098 solver.cpp:337]     [0.0] Iteration 950 (13.7519 iter/s, 1.81792s/25 iter), 4.8/30.1ep, loss = 22.0098
I1115 04:19:41.147552 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.79073 (* 2 = 11.5815 loss)
I1115 04:19:41.147562 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.4284 (* 1 = 10.4284 loss)
I1115 04:19:41.147572 14098 sgd_solver.cpp:180] [0.0] Iteration 950, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:42.313239 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:42.385305 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:42.964814 14098 solver.cpp:337]     [0.0] Iteration 975 (13.757 iter/s, 1.81726s/25 iter), 4.9/30.1ep, loss = 9.96363
I1115 04:19:42.964879 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.17653 (* 2 = 6.35306 loss)
I1115 04:19:42.964890 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.61057 (* 1 = 3.61057 loss)
I1115 04:19:42.964900 14098 sgd_solver.cpp:180] [0.0] Iteration 975, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:44.735108 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_1000.caffemodel
I1115 04:19:44.806742 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_1000.solverstate
I1115 04:19:44.918601 14098 solver.cpp:494] Iteration 1000, Testing net (#0)
I1115 04:19:47.075536 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:47.210574 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:47.470659 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 4.25725 (* 2 = 8.51449 loss)
I1115 04:19:47.470698 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 8.35729 (* 1 = 8.35729 loss)
I1115 04:19:47.470705 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0
I1115 04:19:47.470711 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 0
I1115 04:19:47.470717 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0
I1115 04:19:47.470759 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.506s
I1115 04:19:47.548246 14098 solver.cpp:337]     [0.0] Iteration 1000 (5.54816 iter/s, 4.506s/25 iter), 5/30.1ep, loss = 25.6294
I1115 04:19:47.548326 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.15794 (* 2 = 14.3159 loss)
I1115 04:19:47.548343 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.3135 (* 1 = 11.3135 loss)
I1115 04:19:47.548357 14098 sgd_solver.cpp:180] [0.0] Iteration 1000, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:49.384886 14098 solver.cpp:337]     [0.0] Iteration 1025 (13.6118 iter/s, 1.83664s/25 iter), 5.1/30.1ep, loss = 32.9613
I1115 04:19:49.384933 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 9.05479 (* 2 = 18.1096 loss)
I1115 04:19:49.384945 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 14.8517 (* 1 = 14.8517 loss)
I1115 04:19:49.384954 14098 sgd_solver.cpp:180] [0.0] Iteration 1025, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:51.191577 14098 solver.cpp:337]     [0.0] Iteration 1050 (13.8376 iter/s, 1.80667s/25 iter), 5.3/30.1ep, loss = 19.7101
I1115 04:19:51.191639 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.07574 (* 2 = 12.1515 loss)
I1115 04:19:51.191653 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.55862 (* 1 = 7.55862 loss)
I1115 04:19:51.191663 14098 sgd_solver.cpp:180] [0.0] Iteration 1050, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:52.996508 14098 solver.cpp:337]     [0.0] Iteration 1075 (13.851 iter/s, 1.80492s/25 iter), 5.4/30.1ep, loss = 34.0994
I1115 04:19:52.996569 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.2183 (* 2 = 12.4366 loss)
I1115 04:19:52.996587 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 21.6628 (* 1 = 21.6628 loss)
I1115 04:19:52.996608 14098 sgd_solver.cpp:180] [0.0] Iteration 1075, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:54.803114 14098 solver.cpp:337]     [0.0] Iteration 1100 (13.8379 iter/s, 1.80664s/25 iter), 5.5/30.1ep, loss = 8.80717
I1115 04:19:54.803176 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.0087 (* 2 = 6.0174 loss)
I1115 04:19:54.803195 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.78977 (* 1 = 2.78977 loss)
I1115 04:19:54.803205 14098 sgd_solver.cpp:180] [0.0] Iteration 1100, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:56.616536 14098 solver.cpp:337]     [0.0] Iteration 1125 (13.7861 iter/s, 1.81343s/25 iter), 5.6/30.1ep, loss = 8.6293
I1115 04:19:56.616597 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.58515 (* 2 = 5.1703 loss)
I1115 04:19:56.616617 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.459 (* 1 = 3.459 loss)
I1115 04:19:56.616631 14098 sgd_solver.cpp:180] [0.0] Iteration 1125, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:58.423326 14098 solver.cpp:337]     [0.0] Iteration 1150 (13.8367 iter/s, 1.80679s/25 iter), 5.8/30.1ep, loss = 11.6226
I1115 04:19:58.423390 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.26448 (* 2 = 8.52896 loss)
I1115 04:19:58.423401 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.09362 (* 1 = 3.09362 loss)
I1115 04:19:58.423424 14098 sgd_solver.cpp:180] [0.0] Iteration 1150, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:19:59.661025 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:19:59.730161 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:00.242686 14098 solver.cpp:337]     [0.0] Iteration 1175 (13.7411 iter/s, 1.81936s/25 iter), 5.9/30.1ep, loss = 13.1302
I1115 04:20:00.242736 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.13353 (* 2 = 8.26706 loss)
I1115 04:20:00.242748 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.86315 (* 1 = 4.86315 loss)
I1115 04:20:00.242756 14098 sgd_solver.cpp:180] [0.0] Iteration 1175, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:02.006816 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_1200.caffemodel
I1115 04:20:02.101536 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_1200.solverstate
I1115 04:20:02.290853 14098 solver.cpp:494] Iteration 1200, Testing net (#0)
I1115 04:20:04.367750 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:04.502938 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:04.833608 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.49019 (* 2 = 6.98037 loss)
I1115 04:20:04.833652 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.05422 (* 1 = 7.05422 loss)
I1115 04:20:04.833662 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.663196
I1115 04:20:04.833673 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 7.61905
I1115 04:20:04.833680 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.809717
I1115 04:20:04.833729 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.59109s
I1115 04:20:04.906420 14098 solver.cpp:337]     [0.0] Iteration 1200 (5.44534 iter/s, 4.59109s/25 iter), 6/30.1ep, loss = 24.8604
I1115 04:20:04.906493 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.1514 (* 2 = 16.3028 loss)
I1115 04:20:04.906520 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.5576 (* 1 = 8.5576 loss)
I1115 04:20:04.906535 14098 sgd_solver.cpp:180] [0.0] Iteration 1200, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:06.711047 14098 solver.cpp:337]     [0.0] Iteration 1225 (13.8533 iter/s, 1.80463s/25 iter), 6.2/30.1ep, loss = 4.19496
I1115 04:20:06.711099 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.53516 (* 2 = 3.07032 loss)
I1115 04:20:06.711117 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.12463 (* 1 = 1.12463 loss)
I1115 04:20:06.711131 14098 sgd_solver.cpp:180] [0.0] Iteration 1225, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:08.531287 14098 solver.cpp:337]     [0.0] Iteration 1250 (13.7345 iter/s, 1.82024s/25 iter), 6.3/30.1ep, loss = 15.7075
I1115 04:20:08.531355 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.53699 (* 2 = 7.07399 loss)
I1115 04:20:08.531375 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.63352 (* 1 = 8.63352 loss)
I1115 04:20:08.531389 14098 sgd_solver.cpp:180] [0.0] Iteration 1250, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:10.332913 14098 solver.cpp:337]     [0.0] Iteration 1275 (13.8763 iter/s, 1.80163s/25 iter), 6.4/30.1ep, loss = 18.4118
I1115 04:20:10.332964 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.74902 (* 2 = 11.498 loss)
I1115 04:20:10.332975 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.91379 (* 1 = 6.91379 loss)
I1115 04:20:10.332983 14098 sgd_solver.cpp:180] [0.0] Iteration 1275, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:12.135309 14098 solver.cpp:337]     [0.0] Iteration 1300 (13.8704 iter/s, 1.8024s/25 iter), 6.5/30.1ep, loss = 17.196
I1115 04:20:12.135363 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.47875 (* 2 = 8.95751 loss)
I1115 04:20:12.135375 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.23849 (* 1 = 8.23849 loss)
I1115 04:20:12.135445 14098 sgd_solver.cpp:180] [0.0] Iteration 1300, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:13.938426 14098 solver.cpp:337]     [0.0] Iteration 1325 (13.8649 iter/s, 1.80312s/25 iter), 6.7/30.1ep, loss = 10.317
I1115 04:20:13.938477 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.7701 (* 2 = 5.5402 loss)
I1115 04:20:13.938493 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.7768 (* 1 = 4.7768 loss)
I1115 04:20:13.938508 14098 sgd_solver.cpp:180] [0.0] Iteration 1325, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:15.754747 14098 solver.cpp:337]     [0.0] Iteration 1350 (13.7641 iter/s, 1.81632s/25 iter), 6.8/30.1ep, loss = 17.2834
I1115 04:20:15.754796 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.35773 (* 2 = 10.7155 loss)
I1115 04:20:15.754808 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.5679 (* 1 = 6.5679 loss)
I1115 04:20:15.754822 14098 sgd_solver.cpp:180] [0.0] Iteration 1350, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:16.835404 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:16.910213 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:17.556236 14098 solver.cpp:337]     [0.0] Iteration 1375 (13.8774 iter/s, 1.80149s/25 iter), 6.9/30.1ep, loss = 11.1117
I1115 04:20:17.556636 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.45698 (* 2 = 6.91397 loss)
I1115 04:20:17.556658 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.19776 (* 1 = 4.19776 loss)
I1115 04:20:17.556674 14098 sgd_solver.cpp:180] [0.0] Iteration 1375, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:19.296789 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_1400.caffemodel
I1115 04:20:19.366286 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_1400.solverstate
I1115 04:20:19.470695 14098 solver.cpp:494] Iteration 1400, Testing net (#0)
I1115 04:20:21.581288 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:21.718261 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:22.062536 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 5.52665 (* 2 = 11.0533 loss)
I1115 04:20:22.062575 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 9.22222 (* 1 = 9.22222 loss)
I1115 04:20:22.062582 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.190476
I1115 04:20:22.062588 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 2.85714
I1115 04:20:22.062594 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.190476
I1115 04:20:22.062640 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.50645s
I1115 04:20:22.134106 14098 solver.cpp:337]     [0.0] Iteration 1400 (5.54761 iter/s, 4.50645s/25 iter), 7/30.1ep, loss = 35.4042
I1115 04:20:22.134160 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.49446 (* 2 = 16.9889 loss)
I1115 04:20:22.134176 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 18.4153 (* 1 = 18.4153 loss)
I1115 04:20:22.134188 14098 sgd_solver.cpp:180] [0.0] Iteration 1400, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:23.928025 14098 solver.cpp:337]     [0.0] Iteration 1425 (13.936 iter/s, 1.79392s/25 iter), 7.2/30.1ep, loss = 21.7978
I1115 04:20:23.928083 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.58454 (* 2 = 11.1691 loss)
I1115 04:20:23.928102 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.6287 (* 1 = 10.6287 loss)
I1115 04:20:23.928112 14098 sgd_solver.cpp:180] [0.0] Iteration 1425, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:25.736320 14098 solver.cpp:337]     [0.0] Iteration 1450 (13.8252 iter/s, 1.80829s/25 iter), 7.3/30.1ep, loss = 27.3091
I1115 04:20:25.736373 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.92275 (* 2 = 15.8455 loss)
I1115 04:20:25.736390 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.4635 (* 1 = 11.4635 loss)
I1115 04:20:25.736400 14098 sgd_solver.cpp:180] [0.0] Iteration 1450, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:27.544389 14098 solver.cpp:337]     [0.0] Iteration 1475 (13.8271 iter/s, 1.80805s/25 iter), 7.4/30.1ep, loss = 26.2896
I1115 04:20:27.544456 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.35853 (* 2 = 12.7171 loss)
I1115 04:20:27.544474 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.5725 (* 1 = 13.5725 loss)
I1115 04:20:27.544484 14098 sgd_solver.cpp:180] [0.0] Iteration 1475, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:29.340898 14098 solver.cpp:337]     [0.0] Iteration 1500 (13.9156 iter/s, 1.79654s/25 iter), 7.5/30.1ep, loss = 26.8693
I1115 04:20:29.340951 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.54496 (* 2 = 13.0899 loss)
I1115 04:20:29.340975 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.7794 (* 1 = 13.7794 loss)
I1115 04:20:29.340984 14098 sgd_solver.cpp:180] [0.0] Iteration 1500, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:31.139562 14098 solver.cpp:337]     [0.0] Iteration 1525 (13.8992 iter/s, 1.79866s/25 iter), 7.7/30.1ep, loss = 3.33649
I1115 04:20:31.139619 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 0.72311 (* 2 = 1.44622 loss)
I1115 04:20:31.140363 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.89025 (* 1 = 1.89025 loss)
I1115 04:20:31.140383 14098 sgd_solver.cpp:180] [0.0] Iteration 1525, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:32.940213 14098 solver.cpp:337]     [0.0] Iteration 1550 (13.8839 iter/s, 1.80065s/25 iter), 7.8/30.1ep, loss = 46.3496
I1115 04:20:32.940295 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 13.604 (* 2 = 27.2081 loss)
I1115 04:20:32.940306 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 19.1415 (* 1 = 19.1415 loss)
I1115 04:20:32.940316 14098 sgd_solver.cpp:180] [0.0] Iteration 1550, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:34.097019 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:34.187058 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:34.744086 14098 solver.cpp:337]     [0.0] Iteration 1575 (13.8592 iter/s, 1.80386s/25 iter), 7.9/30.1ep, loss = 12.1281
I1115 04:20:34.744140 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.74255 (* 2 = 7.48509 loss)
I1115 04:20:34.744156 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.64297 (* 1 = 4.64297 loss)
I1115 04:20:34.744168 14098 sgd_solver.cpp:180] [0.0] Iteration 1575, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:36.481066 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_1600.caffemodel
I1115 04:20:36.575289 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_1600.solverstate
I1115 04:20:36.764385 14098 solver.cpp:494] Iteration 1600, Testing net (#0)
I1115 04:20:38.779700 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:38.916801 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:39.317603 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.78152 (* 2 = 7.56303 loss)
I1115 04:20:39.317646 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.56382 (* 1 = 7.56382 loss)
I1115 04:20:39.317653 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.719955
I1115 04:20:39.317661 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 8.57143
I1115 04:20:39.317667 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.719955
I1115 04:20:39.317725 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.57368s
I1115 04:20:39.391317 14098 solver.cpp:337]     [0.0] Iteration 1600 (5.46606 iter/s, 4.57368s/25 iter), 8/30.1ep, loss = 17.0633
I1115 04:20:39.391410 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.47045 (* 2 = 8.9409 loss)
I1115 04:20:39.391433 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.12239 (* 1 = 8.12239 loss)
I1115 04:20:39.391448 14098 sgd_solver.cpp:180] [0.0] Iteration 1600, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:41.212931 14098 solver.cpp:337]     [0.0] Iteration 1625 (13.724 iter/s, 1.82163s/25 iter), 8.2/30.1ep, loss = 28.7483
I1115 04:20:41.212981 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.9741 (* 2 = 9.94821 loss)
I1115 04:20:41.212994 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 18.8001 (* 1 = 18.8001 loss)
I1115 04:20:41.213002 14098 sgd_solver.cpp:180] [0.0] Iteration 1625, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:43.038566 14098 solver.cpp:337]     [0.0] Iteration 1650 (13.694 iter/s, 1.82562s/25 iter), 8.3/30.1ep, loss = 15.949
I1115 04:20:43.038627 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.44286 (* 2 = 8.88573 loss)
I1115 04:20:43.038638 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.06325 (* 1 = 7.06325 loss)
I1115 04:20:43.038646 14098 sgd_solver.cpp:180] [0.0] Iteration 1650, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:44.854566 14098 solver.cpp:337]     [0.0] Iteration 1675 (13.7665 iter/s, 1.816s/25 iter), 8.4/30.1ep, loss = 33.7315
I1115 04:20:44.854678 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 9.44944 (* 2 = 18.8989 loss)
I1115 04:20:44.854691 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 14.8326 (* 1 = 14.8326 loss)
I1115 04:20:44.854701 14098 sgd_solver.cpp:180] [0.0] Iteration 1675, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:46.686990 14098 solver.cpp:337]     [0.0] Iteration 1700 (13.6431 iter/s, 1.83242s/25 iter), 8.5/30.1ep, loss = 12.7851
I1115 04:20:46.687034 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.46089 (* 2 = 8.92177 loss)
I1115 04:20:46.687047 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.86329 (* 1 = 3.86329 loss)
I1115 04:20:46.687054 14098 sgd_solver.cpp:180] [0.0] Iteration 1700, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:48.510460 14098 solver.cpp:337]     [0.0] Iteration 1725 (13.7101 iter/s, 1.82347s/25 iter), 8.7/30.1ep, loss = 6.43672
I1115 04:20:48.510815 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.60121 (* 2 = 3.20242 loss)
I1115 04:20:48.510829 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.23428 (* 1 = 3.23428 loss)
I1115 04:20:48.510838 14098 sgd_solver.cpp:180] [0.0] Iteration 1725, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:50.325521 14098 solver.cpp:337]     [0.0] Iteration 1750 (13.7736 iter/s, 1.81506s/25 iter), 8.8/30.1ep, loss = 13.6714
I1115 04:20:50.325582 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.10859 (* 2 = 8.21717 loss)
I1115 04:20:50.325598 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.45419 (* 1 = 5.45419 loss)
I1115 04:20:50.325613 14098 sgd_solver.cpp:180] [0.0] Iteration 1750, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:51.333155 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:51.405264 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:52.126111 14098 solver.cpp:337]     [0.0] Iteration 1775 (13.8843 iter/s, 1.80059s/25 iter), 8.9/30.1ep, loss = 19.6271
I1115 04:20:52.126155 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.95701 (* 2 = 9.91401 loss)
I1115 04:20:52.126168 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.71307 (* 1 = 9.71307 loss)
I1115 04:20:52.126175 14098 sgd_solver.cpp:180] [0.0] Iteration 1775, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:53.865185 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_1800.caffemodel
I1115 04:20:53.937840 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_1800.solverstate
I1115 04:20:54.256877 14098 solver.cpp:494] Iteration 1800, Testing net (#0)
I1115 04:20:56.354818 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:56.490119 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:20:56.842698 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.16132 (* 2 = 6.32263 loss)
I1115 04:20:56.842736 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.12342 (* 1 = 7.12342 loss)
I1115 04:20:56.842743 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.64961
I1115 04:20:56.842749 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 17.1429
I1115 04:20:56.842756 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.64961
I1115 04:20:56.842797 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.71673s
I1115 04:20:56.918812 14098 solver.cpp:337]     [0.0] Iteration 1800 (5.30028 iter/s, 4.71673s/25 iter), 9/30.1ep, loss = 17.9128
I1115 04:20:56.918870 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.74179 (* 2 = 13.4836 loss)
I1115 04:20:56.918882 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.42918 (* 1 = 4.42918 loss)
I1115 04:20:56.918890 14098 sgd_solver.cpp:180] [0.0] Iteration 1800, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:20:58.733076 14098 solver.cpp:337]     [0.0] Iteration 1825 (13.7797 iter/s, 1.81426s/25 iter), 9.2/30.1ep, loss = 11.0093
I1115 04:20:58.733136 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.35912 (* 2 = 4.71824 loss)
I1115 04:20:58.733150 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.29102 (* 1 = 6.29102 loss)
I1115 04:20:58.733157 14098 sgd_solver.cpp:180] [0.0] Iteration 1825, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:00.571188 14098 solver.cpp:337]     [0.0] Iteration 1850 (13.6011 iter/s, 1.83809s/25 iter), 9.3/30.1ep, loss = 8.12051
I1115 04:21:00.571238 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.11542 (* 2 = 4.23083 loss)
I1115 04:21:00.571250 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.88966 (* 1 = 3.88966 loss)
I1115 04:21:00.571259 14098 sgd_solver.cpp:180] [0.0] Iteration 1850, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:02.380295 14098 solver.cpp:337]     [0.0] Iteration 1875 (13.8189 iter/s, 1.80912s/25 iter), 9.4/30.1ep, loss = 8.40777
I1115 04:21:02.380414 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.0044 (* 2 = 4.00881 loss)
I1115 04:21:02.380427 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.39894 (* 1 = 4.39894 loss)
I1115 04:21:02.380436 14098 sgd_solver.cpp:180] [0.0] Iteration 1875, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:04.186533 14098 solver.cpp:337]     [0.0] Iteration 1900 (13.8408 iter/s, 1.80625s/25 iter), 9.5/30.1ep, loss = 35.4756
I1115 04:21:04.186581 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.43307 (* 2 = 16.8661 loss)
I1115 04:21:04.186595 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 18.6094 (* 1 = 18.6094 loss)
I1115 04:21:04.186606 14098 sgd_solver.cpp:180] [0.0] Iteration 1900, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:05.982102 14098 solver.cpp:337]     [0.0] Iteration 1925 (13.9234 iter/s, 1.79554s/25 iter), 9.7/30.1ep, loss = 19.9209
I1115 04:21:05.982152 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.61847 (* 2 = 9.23694 loss)
I1115 04:21:05.982163 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.6839 (* 1 = 10.6839 loss)
I1115 04:21:05.982172 14098 sgd_solver.cpp:180] [0.0] Iteration 1925, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:07.784628 14098 solver.cpp:337]     [0.0] Iteration 1950 (13.8692 iter/s, 1.80256s/25 iter), 9.8/30.1ep, loss = 18.8527
I1115 04:21:07.784674 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.64993 (* 2 = 9.29987 loss)
I1115 04:21:07.784685 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.55294 (* 1 = 9.55294 loss)
I1115 04:21:07.784694 14098 sgd_solver.cpp:180] [0.0] Iteration 1950, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:08.651196 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:08.726347 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:09.590337 14098 solver.cpp:337]     [0.0] Iteration 1975 (13.845 iter/s, 1.80571s/25 iter), 9.9/30.1ep, loss = 38.1314
I1115 04:21:09.590394 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.86033 (* 2 = 11.7207 loss)
I1115 04:21:09.590409 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 26.4107 (* 1 = 26.4107 loss)
I1115 04:21:09.590417 14098 sgd_solver.cpp:180] [0.0] Iteration 1975, lr = 0.0001, m = 0.9, lrm = 0.001, wd = 1e-06, gs = 1
I1115 04:21:11.315907 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_2000.caffemodel
I1115 04:21:11.408263 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_2000.solverstate
I1115 04:21:11.597169 14098 solver.cpp:494] Iteration 2000, Testing net (#0)
I1115 04:21:13.658828 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:13.796900 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:14.183476 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.87431 (* 2 = 7.74862 loss)
I1115 04:21:14.183517 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.81087 (* 1 = 7.81087 loss)
I1115 04:21:14.183524 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.15873
I1115 04:21:14.183531 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 2.85714
I1115 04:21:14.183537 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.15873
I1115 04:21:14.183638 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.59334s
I1115 04:21:14.262006 14098 solver.cpp:337]     [0.0] Iteration 2000 (5.44266 iter/s, 4.59334s/25 iter), 10/30.1ep, loss = 12.3323
I1115 04:21:14.262065 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.49262 (* 2 = 4.98524 loss)
I1115 04:21:14.262085 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.34707 (* 1 = 7.34707 loss)
I1115 04:21:14.262178 14098 sgd_solver.cpp:180] [0.0] Iteration 2000, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:16.085603 14098 solver.cpp:337]     [0.0] Iteration 2025 (13.7091 iter/s, 1.8236s/25 iter), 10.2/30.1ep, loss = 4.41753
I1115 04:21:16.085685 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.61577 (* 2 = 3.23154 loss)
I1115 04:21:16.085695 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.18604 (* 1 = 1.18604 loss)
I1115 04:21:16.085705 14098 sgd_solver.cpp:180] [0.0] Iteration 2025, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:17.921268 14098 solver.cpp:337]     [0.0] Iteration 2050 (13.6191 iter/s, 1.83566s/25 iter), 10.3/30.1ep, loss = 7.88873
I1115 04:21:17.921352 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.18524 (* 2 = 4.37048 loss)
I1115 04:21:17.921366 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.5183 (* 1 = 3.5183 loss)
I1115 04:21:17.921375 14098 sgd_solver.cpp:180] [0.0] Iteration 2050, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:19.730720 14098 solver.cpp:337]     [0.0] Iteration 2075 (13.8163 iter/s, 1.80945s/25 iter), 10.4/30.1ep, loss = 16.5389
I1115 04:21:19.731122 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.71146 (* 2 = 9.42293 loss)
I1115 04:21:19.731137 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.11603 (* 1 = 7.11603 loss)
I1115 04:21:19.731146 14098 sgd_solver.cpp:180] [0.0] Iteration 2075, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:21.526222 14098 solver.cpp:337]     [0.0] Iteration 2100 (13.9237 iter/s, 1.79551s/25 iter), 10.5/30.1ep, loss = 20.2873
I1115 04:21:21.526269 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.36169 (* 2 = 10.7234 loss)
I1115 04:21:21.526281 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.56399 (* 1 = 9.56399 loss)
I1115 04:21:21.526289 14098 sgd_solver.cpp:180] [0.0] Iteration 2100, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:23.333313 14098 solver.cpp:337]     [0.0] Iteration 2125 (13.8344 iter/s, 1.80709s/25 iter), 10.7/30.1ep, loss = 17.5561
I1115 04:21:23.333364 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.97913 (* 2 = 7.95825 loss)
I1115 04:21:23.333375 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.59786 (* 1 = 9.59786 loss)
I1115 04:21:23.333384 14098 sgd_solver.cpp:180] [0.0] Iteration 2125, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:25.141098 14098 solver.cpp:337]     [0.0] Iteration 2150 (13.8291 iter/s, 1.80778s/25 iter), 10.8/30.1ep, loss = 32.1233
I1115 04:21:25.141153 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.66618 (* 2 = 15.3324 loss)
I1115 04:21:25.141165 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 16.791 (* 1 = 16.791 loss)
I1115 04:21:25.141173 14098 sgd_solver.cpp:180] [0.0] Iteration 2150, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:26.081471 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:26.152307 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:26.950259 14098 solver.cpp:337]     [0.0] Iteration 2175 (13.8186 iter/s, 1.80916s/25 iter), 10.9/30.1ep, loss = 21.2914
I1115 04:21:26.950309 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.12158 (* 2 = 10.2432 loss)
I1115 04:21:26.950321 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.0483 (* 1 = 11.0483 loss)
I1115 04:21:26.950330 14098 sgd_solver.cpp:180] [0.0] Iteration 2175, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:28.687530 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_2200.caffemodel
I1115 04:21:28.759464 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_2200.solverstate
I1115 04:21:28.869406 14098 solver.cpp:494] Iteration 2200, Testing net (#0)
I1115 04:21:30.778925 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:30.911350 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:31.406203 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.61002 (* 2 = 7.22005 loss)
I1115 04:21:31.406244 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.95903 (* 1 = 6.95903 loss)
I1115 04:21:31.406250 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.657863
I1115 04:21:31.406256 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 8.57143
I1115 04:21:31.406262 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.657863
I1115 04:21:31.406318 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.4561s
I1115 04:21:31.479180 14098 solver.cpp:337]     [0.0] Iteration 2200 (5.61029 iter/s, 4.4561s/25 iter), 11/30.1ep, loss = 23.1409
I1115 04:21:31.479233 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.3487 (* 2 = 10.6974 loss)
I1115 04:21:31.479250 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.4436 (* 1 = 12.4436 loss)
I1115 04:21:31.479259 14098 sgd_solver.cpp:180] [0.0] Iteration 2200, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:33.285933 14098 solver.cpp:337]     [0.0] Iteration 2225 (13.8371 iter/s, 1.80674s/25 iter), 11.2/30.1ep, loss = 20.6327
I1115 04:21:33.286067 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.57108 (* 2 = 9.14215 loss)
I1115 04:21:33.286087 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.4906 (* 1 = 11.4906 loss)
I1115 04:21:33.286103 14098 sgd_solver.cpp:180] [0.0] Iteration 2225, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:35.080893 14098 solver.cpp:337]     [0.0] Iteration 2250 (13.9279 iter/s, 1.79496s/25 iter), 11.3/30.1ep, loss = 18.7378
I1115 04:21:35.080941 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.80183 (* 2 = 9.60366 loss)
I1115 04:21:35.080951 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.13423 (* 1 = 9.13423 loss)
I1115 04:21:35.080960 14098 sgd_solver.cpp:180] [0.0] Iteration 2250, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:36.888586 14098 solver.cpp:337]     [0.0] Iteration 2275 (13.8299 iter/s, 1.80768s/25 iter), 11.4/30.1ep, loss = 13.2481
I1115 04:21:36.888638 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.86947 (* 2 = 5.73894 loss)
I1115 04:21:36.888653 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.50923 (* 1 = 7.50923 loss)
I1115 04:21:36.888664 14098 sgd_solver.cpp:180] [0.0] Iteration 2275, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:38.691735 14098 solver.cpp:337]     [0.0] Iteration 2300 (13.8648 iter/s, 1.80313s/25 iter), 11.5/30.1ep, loss = 2.31681
I1115 04:21:38.691803 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 0.858499 (* 2 = 1.717 loss)
I1115 04:21:38.691823 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 0.599866 (* 1 = 0.599866 loss)
I1115 04:21:38.691833 14098 sgd_solver.cpp:180] [0.0] Iteration 2300, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:40.507462 14098 solver.cpp:337]     [0.0] Iteration 2325 (13.7685 iter/s, 1.81574s/25 iter), 11.7/30.1ep, loss = 10.9056
I1115 04:21:40.507519 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.45316 (* 2 = 6.90633 loss)
I1115 04:21:40.507536 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.99936 (* 1 = 3.99936 loss)
I1115 04:21:40.507549 14098 sgd_solver.cpp:180] [0.0] Iteration 2325, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:42.319895 14098 solver.cpp:337]     [0.0] Iteration 2350 (13.7938 iter/s, 1.81241s/25 iter), 11.8/30.1ep, loss = 30.0433
I1115 04:21:42.319952 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.50959 (* 2 = 15.0192 loss)
I1115 04:21:42.319970 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 15.0242 (* 1 = 15.0242 loss)
I1115 04:21:42.319983 14098 sgd_solver.cpp:180] [0.0] Iteration 2350, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:43.114408 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:43.184926 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:44.127562 14098 solver.cpp:337]     [0.0] Iteration 2375 (13.8299 iter/s, 1.80768s/25 iter), 11.9/30.1ep, loss = 9.2261
I1115 04:21:44.127621 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.89676 (* 2 = 5.79351 loss)
I1115 04:21:44.127637 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.43263 (* 1 = 3.43263 loss)
I1115 04:21:44.127645 14098 sgd_solver.cpp:180] [0.0] Iteration 2375, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:45.866366 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_2400.caffemodel
I1115 04:21:45.959985 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_2400.solverstate
I1115 04:21:46.282213 14098 solver.cpp:494] Iteration 2400, Testing net (#0)
I1115 04:21:48.185161 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:48.315625 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:21:48.754458 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 4.1705 (* 2 = 8.341 loss)
I1115 04:21:48.754492 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 8.44877 (* 1 = 8.44877 loss)
I1115 04:21:48.754499 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.14776
I1115 04:21:48.754505 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 17.1429
I1115 04:21:48.754513 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.14776
I1115 04:21:48.754565 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.62704s
I1115 04:21:48.827261 14098 solver.cpp:337]     [0.0] Iteration 2400 (5.40302 iter/s, 4.62704s/25 iter), 12.1/30.1ep, loss = 8.02371
I1115 04:21:48.827308 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.46363 (* 2 = 2.92726 loss)
I1115 04:21:48.827322 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.0965 (* 1 = 5.0965 loss)
I1115 04:21:48.827330 14098 sgd_solver.cpp:180] [0.0] Iteration 2400, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:50.630414 14098 solver.cpp:337]     [0.0] Iteration 2425 (13.8647 iter/s, 1.80314s/25 iter), 12.2/30.1ep, loss = 20.1982
I1115 04:21:50.630832 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.48288 (* 2 = 12.9658 loss)
I1115 04:21:50.630856 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.23244 (* 1 = 7.23244 loss)
I1115 04:21:50.630872 14098 sgd_solver.cpp:180] [0.0] Iteration 2425, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:52.430173 14098 solver.cpp:337]     [0.0] Iteration 2450 (13.8907 iter/s, 1.79976s/25 iter), 12.3/30.1ep, loss = 6.99122
I1115 04:21:52.430230 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.22845 (* 2 = 4.4569 loss)
I1115 04:21:52.430253 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.53436 (* 1 = 2.53436 loss)
I1115 04:21:52.430265 14098 sgd_solver.cpp:180] [0.0] Iteration 2450, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:54.241019 14098 solver.cpp:337]     [0.0] Iteration 2475 (13.8057 iter/s, 1.81085s/25 iter), 12.4/30.1ep, loss = 3.88768
I1115 04:21:54.241080 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.46199 (* 2 = 2.92399 loss)
I1115 04:21:54.241093 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 0.963749 (* 1 = 0.963749 loss)
I1115 04:21:54.241101 14098 sgd_solver.cpp:180] [0.0] Iteration 2475, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:56.056314 14098 solver.cpp:337]     [0.0] Iteration 2500 (13.772 iter/s, 1.81528s/25 iter), 12.6/30.1ep, loss = 15.761
I1115 04:21:56.056376 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.99462 (* 2 = 7.98923 loss)
I1115 04:21:56.056387 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.77178 (* 1 = 7.77178 loss)
I1115 04:21:56.056396 14098 sgd_solver.cpp:180] [0.0] Iteration 2500, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:57.886409 14098 solver.cpp:337]     [0.0] Iteration 2525 (13.6605 iter/s, 1.8301s/25 iter), 12.7/30.1ep, loss = 23.9307
I1115 04:21:57.886449 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.90044 (* 2 = 15.8009 loss)
I1115 04:21:57.886461 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.12988 (* 1 = 8.12988 loss)
I1115 04:21:57.886471 14098 sgd_solver.cpp:180] [0.0] Iteration 2525, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:21:59.694427 14098 solver.cpp:337]     [0.0] Iteration 2550 (13.8273 iter/s, 1.80802s/25 iter), 12.8/30.1ep, loss = 34.5231
I1115 04:21:59.694478 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.56736 (* 2 = 17.1347 loss)
I1115 04:21:59.694489 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 17.3884 (* 1 = 17.3884 loss)
I1115 04:21:59.694497 14098 sgd_solver.cpp:180] [0.0] Iteration 2550, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:00.345515 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:00.434299 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:01.505411 14098 solver.cpp:337]     [0.0] Iteration 2575 (13.8046 iter/s, 1.81099s/25 iter), 12.9/30.1ep, loss = 7.0562
I1115 04:22:01.505458 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.56018 (* 2 = 3.12036 loss)
I1115 04:22:01.505470 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.93589 (* 1 = 3.93589 loss)
I1115 04:22:01.505478 14098 sgd_solver.cpp:180] [0.0] Iteration 2575, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:03.238397 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_2600.caffemodel
I1115 04:22:03.310446 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_2600.solverstate
I1115 04:22:03.418246 14098 solver.cpp:494] Iteration 2600, Testing net (#0)
I1115 04:22:05.334792 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:05.468027 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:05.955432 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.93249 (* 2 = 7.86498 loss)
I1115 04:22:05.955523 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.86403 (* 1 = 7.86403 loss)
I1115 04:22:05.955531 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.31981
I1115 04:22:05.955538 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 15.7143
I1115 04:22:05.955544 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.4091
I1115 04:22:05.955590 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.45022s
I1115 04:22:06.031819 14098 solver.cpp:337]     [0.0] Iteration 2600 (5.6177 iter/s, 4.45022s/25 iter), 13.1/30.1ep, loss = 17.2956
I1115 04:22:06.031862 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.19707 (* 2 = 8.39413 loss)
I1115 04:22:06.031872 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.90151 (* 1 = 8.90151 loss)
I1115 04:22:06.031880 14098 sgd_solver.cpp:180] [0.0] Iteration 2600, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:07.828797 14098 solver.cpp:337]     [0.0] Iteration 2625 (13.9122 iter/s, 1.79698s/25 iter), 13.2/30.1ep, loss = 22.0644
I1115 04:22:07.828845 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.73826 (* 2 = 15.4765 loss)
I1115 04:22:07.828855 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.58794 (* 1 = 6.58794 loss)
I1115 04:22:07.828864 14098 sgd_solver.cpp:180] [0.0] Iteration 2625, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:09.637615 14098 solver.cpp:337]     [0.0] Iteration 2650 (13.8213 iter/s, 1.80881s/25 iter), 13.3/30.1ep, loss = 9.42712
I1115 04:22:09.637662 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.69178 (* 2 = 5.38357 loss)
I1115 04:22:09.637672 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.0436 (* 1 = 4.0436 loss)
I1115 04:22:09.637681 14098 sgd_solver.cpp:180] [0.0] Iteration 2650, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:11.446218 14098 solver.cpp:337]     [0.0] Iteration 2675 (13.8229 iter/s, 1.80859s/25 iter), 13.4/30.1ep, loss = 31.7008
I1115 04:22:11.446269 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.48354 (* 2 = 16.9671 loss)
I1115 04:22:11.446281 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 14.7337 (* 1 = 14.7337 loss)
I1115 04:22:11.446291 14098 sgd_solver.cpp:180] [0.0] Iteration 2675, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:13.259690 14098 solver.cpp:337]     [0.0] Iteration 2700 (13.7857 iter/s, 1.81347s/25 iter), 13.6/30.1ep, loss = 4.83168
I1115 04:22:13.259738 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.22835 (* 2 = 2.4567 loss)
I1115 04:22:13.259758 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.37503 (* 1 = 2.37503 loss)
I1115 04:22:13.259769 14098 sgd_solver.cpp:180] [0.0] Iteration 2700, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:15.067342 14098 solver.cpp:337]     [0.0] Iteration 2725 (13.8301 iter/s, 1.80765s/25 iter), 13.7/30.1ep, loss = 4.76058
I1115 04:22:15.067414 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.75368 (* 2 = 3.50737 loss)
I1115 04:22:15.067425 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.25327 (* 1 = 1.25327 loss)
I1115 04:22:15.067432 14098 sgd_solver.cpp:180] [0.0] Iteration 2725, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:16.884196 14098 solver.cpp:337]     [0.0] Iteration 2750 (13.7603 iter/s, 1.81682s/25 iter), 13.8/30.1ep, loss = 27.1419
I1115 04:22:16.884258 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.42057 (* 2 = 10.8411 loss)
I1115 04:22:16.884270 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 16.3008 (* 1 = 16.3008 loss)
I1115 04:22:16.884280 14098 sgd_solver.cpp:180] [0.0] Iteration 2750, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:17.610994 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:17.691157 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:18.699671 14098 solver.cpp:337]     [0.0] Iteration 2775 (13.7707 iter/s, 1.81545s/25 iter), 13.9/30.1ep, loss = 13.1693
I1115 04:22:18.699738 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.24496 (* 2 = 8.48993 loss)
I1115 04:22:18.699748 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.67947 (* 1 = 4.67947 loss)
I1115 04:22:18.699756 14098 sgd_solver.cpp:180] [0.0] Iteration 2775, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:20.444191 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_2800.caffemodel
I1115 04:22:20.542831 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_2800.solverstate
I1115 04:22:20.652956 14098 solver.cpp:494] Iteration 2800, Testing net (#0)
I1115 04:22:22.510110 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:22.644584 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:23.200289 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.62415 (* 2 = 7.2483 loss)
I1115 04:22:23.200337 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.36927 (* 1 = 7.36927 loss)
I1115 04:22:23.200345 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.698231
I1115 04:22:23.200351 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 11.4286
I1115 04:22:23.200358 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.698231
I1115 04:22:23.200408 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.50079s
I1115 04:22:23.273720 14098 solver.cpp:337]     [0.0] Iteration 2800 (5.55458 iter/s, 4.50079s/25 iter), 14.1/30.1ep, loss = 38.7888
I1115 04:22:23.273772 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 10.8204 (* 2 = 21.6408 loss)
I1115 04:22:23.273787 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 17.1481 (* 1 = 17.1481 loss)
I1115 04:22:23.273794 14098 sgd_solver.cpp:180] [0.0] Iteration 2800, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:25.089391 14098 solver.cpp:337]     [0.0] Iteration 2825 (13.7691 iter/s, 1.81566s/25 iter), 14.2/30.1ep, loss = 20.8538
I1115 04:22:25.089445 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.08857 (* 2 = 10.1771 loss)
I1115 04:22:25.089462 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.6767 (* 1 = 10.6767 loss)
I1115 04:22:25.089470 14098 sgd_solver.cpp:180] [0.0] Iteration 2825, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:26.901350 14098 solver.cpp:337]     [0.0] Iteration 2850 (13.7972 iter/s, 1.81196s/25 iter), 14.3/30.1ep, loss = 24.9114
I1115 04:22:26.901410 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.13927 (* 2 = 10.2785 loss)
I1115 04:22:26.901422 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 14.6329 (* 1 = 14.6329 loss)
I1115 04:22:26.901430 14098 sgd_solver.cpp:180] [0.0] Iteration 2850, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:28.704857 14098 solver.cpp:337]     [0.0] Iteration 2875 (13.862 iter/s, 1.80349s/25 iter), 14.4/30.1ep, loss = 36.9058
I1115 04:22:28.704916 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 10.2682 (* 2 = 20.5363 loss)
I1115 04:22:28.704926 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 16.3695 (* 1 = 16.3695 loss)
I1115 04:22:28.704937 14098 sgd_solver.cpp:180] [0.0] Iteration 2875, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:30.511574 14098 solver.cpp:337]     [0.0] Iteration 2900 (13.8372 iter/s, 1.80672s/25 iter), 14.6/30.1ep, loss = 12.808
I1115 04:22:30.511622 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.49643 (* 2 = 8.99285 loss)
I1115 04:22:30.511633 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.81521 (* 1 = 3.81521 loss)
I1115 04:22:30.511641 14098 sgd_solver.cpp:180] [0.0] Iteration 2900, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:32.322105 14098 solver.cpp:337]     [0.0] Iteration 2925 (13.8081 iter/s, 1.81053s/25 iter), 14.7/30.1ep, loss = 14.888
I1115 04:22:32.322165 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.78688 (* 2 = 9.57375 loss)
I1115 04:22:32.322181 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.31434 (* 1 = 5.31434 loss)
I1115 04:22:32.322194 14098 sgd_solver.cpp:180] [0.0] Iteration 2925, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:34.123247 14098 solver.cpp:337]     [0.0] Iteration 2950 (13.8801 iter/s, 1.80114s/25 iter), 14.8/30.1ep, loss = 21.8667
I1115 04:22:34.123306 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.97406 (* 2 = 13.9481 loss)
I1115 04:22:34.123322 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.91859 (* 1 = 7.91859 loss)
I1115 04:22:34.123433 14098 sgd_solver.cpp:180] [0.0] Iteration 2950, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:34.700063 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:34.769840 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:35.923990 14098 solver.cpp:337]     [0.0] Iteration 2975 (13.8832 iter/s, 1.80074s/25 iter), 14.9/30.1ep, loss = 18.1048
I1115 04:22:35.924036 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.43359 (* 2 = 8.86717 loss)
I1115 04:22:35.924047 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.23769 (* 1 = 9.23769 loss)
I1115 04:22:35.924055 14098 sgd_solver.cpp:180] [0.0] Iteration 2975, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:37.650157 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_3000.caffemodel
I1115 04:22:37.727232 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_3000.solverstate
I1115 04:22:37.833922 14098 solver.cpp:494] Iteration 3000, Testing net (#0)
I1115 04:22:39.701732 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:39.841387 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:40.418262 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.98041 (* 2 = 7.96082 loss)
I1115 04:22:40.418300 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.23223 (* 1 = 7.23223 loss)
I1115 04:22:40.418308 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.65051
I1115 04:22:40.418314 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 12.8571
I1115 04:22:40.418321 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.718537
I1115 04:22:40.418372 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.49441s
I1115 04:22:40.496361 14098 solver.cpp:337]     [0.0] Iteration 3000 (5.56246 iter/s, 4.49441s/25 iter), 15.1/30.1ep, loss = 9.5274
I1115 04:22:40.496407 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.2849 (* 2 = 6.56979 loss)
I1115 04:22:40.496417 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.95766 (* 1 = 2.95766 loss)
I1115 04:22:40.496425 14098 sgd_solver.cpp:180] [0.0] Iteration 3000, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:42.321820 14098 solver.cpp:337]     [0.0] Iteration 3025 (13.6952 iter/s, 1.82546s/25 iter), 15.2/30.1ep, loss = 14.7009
I1115 04:22:42.321872 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.13391 (* 2 = 10.2678 loss)
I1115 04:22:42.321883 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.43309 (* 1 = 4.43309 loss)
I1115 04:22:42.321893 14098 sgd_solver.cpp:180] [0.0] Iteration 3025, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:44.137315 14098 solver.cpp:337]     [0.0] Iteration 3050 (13.7705 iter/s, 1.81548s/25 iter), 15.3/30.1ep, loss = 18.3514
I1115 04:22:44.137372 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.86541 (* 2 = 9.73082 loss)
I1115 04:22:44.137384 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.62064 (* 1 = 8.62064 loss)
I1115 04:22:44.137393 14098 sgd_solver.cpp:180] [0.0] Iteration 3050, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:45.967959 14098 solver.cpp:337]     [0.0] Iteration 3075 (13.6563 iter/s, 1.83066s/25 iter), 15.4/30.1ep, loss = 8.31033
I1115 04:22:45.968041 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.49785 (* 2 = 2.99569 loss)
I1115 04:22:45.968051 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.31469 (* 1 = 5.31469 loss)
I1115 04:22:45.968060 14098 sgd_solver.cpp:180] [0.0] Iteration 3075, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:47.788183 14098 solver.cpp:337]     [0.0] Iteration 3100 (13.7346 iter/s, 1.82022s/25 iter), 15.6/30.1ep, loss = 11.1086
I1115 04:22:47.788229 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.9921 (* 2 = 5.9842 loss)
I1115 04:22:47.788308 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.12444 (* 1 = 5.12444 loss)
I1115 04:22:47.788317 14098 sgd_solver.cpp:180] [0.0] Iteration 3100, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:49.588084 14098 solver.cpp:337]     [0.0] Iteration 3125 (13.8897 iter/s, 1.7999s/25 iter), 15.7/30.1ep, loss = 3.3287
I1115 04:22:49.588132 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 0.971648 (* 2 = 1.9433 loss)
I1115 04:22:49.588143 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.38546 (* 1 = 1.38546 loss)
I1115 04:22:49.588152 14098 sgd_solver.cpp:180] [0.0] Iteration 3125, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:51.382997 14098 solver.cpp:337]     [0.0] Iteration 3150 (13.9284 iter/s, 1.79489s/25 iter), 15.8/30.1ep, loss = 9.97951
I1115 04:22:51.383330 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.97203 (* 2 = 3.94406 loss)
I1115 04:22:51.383345 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.03551 (* 1 = 6.03551 loss)
I1115 04:22:51.383354 14098 sgd_solver.cpp:180] [0.0] Iteration 3150, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:52.038028 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:52.105317 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:53.189996 14098 solver.cpp:337]     [0.0] Iteration 3175 (13.835 iter/s, 1.80701s/25 iter), 15.9/30.1ep, loss = 25.5399
I1115 04:22:53.190062 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.65759 (* 2 = 15.3152 loss)
I1115 04:22:53.190073 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.2247 (* 1 = 10.2247 loss)
I1115 04:22:53.190081 14098 sgd_solver.cpp:180] [0.0] Iteration 3175, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:54.924998 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_3200.caffemodel
I1115 04:22:55.015805 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_3200.solverstate
I1115 04:22:55.258314 14098 solver.cpp:494] Iteration 3200, Testing net (#0)
I1115 04:22:57.030820 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:57.168684 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:22:57.780238 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.39528 (* 2 = 6.79057 loss)
I1115 04:22:57.780279 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.70237 (* 1 = 6.70237 loss)
I1115 04:22:57.780287 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.20591
I1115 04:22:57.780292 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 28.5714
I1115 04:22:57.780302 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.20591
I1115 04:22:57.780342 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.59039s
I1115 04:22:57.853374 14098 solver.cpp:337]     [0.0] Iteration 3200 (5.44617 iter/s, 4.59039s/25 iter), 16.1/30.1ep, loss = 13.8639
I1115 04:22:57.853422 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.0809 (* 2 = 4.16181 loss)
I1115 04:22:57.853437 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.70218 (* 1 = 9.70218 loss)
I1115 04:22:57.853446 14098 sgd_solver.cpp:180] [0.0] Iteration 3200, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:22:59.652567 14098 solver.cpp:337]     [0.0] Iteration 3225 (13.8951 iter/s, 1.79919s/25 iter), 16.2/30.1ep, loss = 8.82918
I1115 04:22:59.652614 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.02875 (* 2 = 6.05749 loss)
I1115 04:22:59.652624 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.77174 (* 1 = 2.77174 loss)
I1115 04:22:59.652633 14098 sgd_solver.cpp:180] [0.0] Iteration 3225, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:01.483737 14098 solver.cpp:337]     [0.0] Iteration 3250 (13.6525 iter/s, 1.83117s/25 iter), 16.3/30.1ep, loss = 16.1918
I1115 04:23:01.483786 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.20253 (* 2 = 6.40506 loss)
I1115 04:23:01.483796 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.78675 (* 1 = 9.78675 loss)
I1115 04:23:01.483804 14098 sgd_solver.cpp:180] [0.0] Iteration 3250, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:03.279141 14098 solver.cpp:337]     [0.0] Iteration 3275 (13.9245 iter/s, 1.79539s/25 iter), 16.4/30.1ep, loss = 20.6715
I1115 04:23:03.279193 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.76332 (* 2 = 13.5266 loss)
I1115 04:23:03.279204 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.14488 (* 1 = 7.14488 loss)
I1115 04:23:03.279214 14098 sgd_solver.cpp:180] [0.0] Iteration 3275, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:05.072515 14098 solver.cpp:337]     [0.0] Iteration 3300 (13.9402 iter/s, 1.79338s/25 iter), 16.6/30.1ep, loss = 9.71427
I1115 04:23:05.072562 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.14596 (* 2 = 6.29192 loss)
I1115 04:23:05.072573 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.4224 (* 1 = 3.4224 loss)
I1115 04:23:05.072582 14098 sgd_solver.cpp:180] [0.0] Iteration 3300, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:06.867866 14098 solver.cpp:337]     [0.0] Iteration 3325 (13.9248 iter/s, 1.79535s/25 iter), 16.7/30.1ep, loss = 13.0615
I1115 04:23:06.867915 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.34929 (* 2 = 8.69858 loss)
I1115 04:23:06.867926 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.363 (* 1 = 4.363 loss)
I1115 04:23:06.867934 14098 sgd_solver.cpp:180] [0.0] Iteration 3325, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:08.662509 14098 solver.cpp:337]     [0.0] Iteration 3350 (13.9303 iter/s, 1.79464s/25 iter), 16.8/30.1ep, loss = 15.3615
I1115 04:23:08.662557 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.83081 (* 2 = 9.66161 loss)
I1115 04:23:08.662570 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.69996 (* 1 = 5.69996 loss)
I1115 04:23:08.662580 14098 sgd_solver.cpp:180] [0.0] Iteration 3350, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:09.164773 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:09.235172 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:10.455896 14098 solver.cpp:337]     [0.0] Iteration 3375 (13.9402 iter/s, 1.79338s/25 iter), 16.9/30.1ep, loss = 16.9987
I1115 04:23:10.455961 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.48675 (* 2 = 6.97349 loss)
I1115 04:23:10.455972 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.0252 (* 1 = 10.0252 loss)
I1115 04:23:10.455981 14098 sgd_solver.cpp:180] [0.0] Iteration 3375, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:12.191918 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_3400.caffemodel
I1115 04:23:12.266374 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_3400.solverstate
I1115 04:23:12.371539 14098 solver.cpp:494] Iteration 3400, Testing net (#0)
I1115 04:23:14.152727 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:14.286162 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:14.926941 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.24327 (* 2 = 6.48654 loss)
I1115 04:23:14.926977 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.30903 (* 1 = 6.30903 loss)
I1115 04:23:14.926985 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 0.48651
I1115 04:23:14.926991 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 8.57143
I1115 04:23:14.926998 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 0.48651
I1115 04:23:14.927044 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.47119s
I1115 04:23:14.999763 14098 solver.cpp:337]     [0.0] Iteration 3400 (5.59135 iter/s, 4.47119s/25 iter), 17.1/30.1ep, loss = 18.7898
I1115 04:23:14.999809 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.13964 (* 2 = 10.2793 loss)
I1115 04:23:14.999820 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.51059 (* 1 = 8.51059 loss)
I1115 04:23:14.999830 14098 sgd_solver.cpp:180] [0.0] Iteration 3400, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:16.810179 14098 solver.cpp:337]     [0.0] Iteration 3425 (13.8089 iter/s, 1.81043s/25 iter), 17.2/30.1ep, loss = 11.8108
I1115 04:23:16.810225 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.01955 (* 2 = 8.0391 loss)
I1115 04:23:16.810236 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.77176 (* 1 = 3.77176 loss)
I1115 04:23:16.810319 14098 sgd_solver.cpp:180] [0.0] Iteration 3425, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:18.649524 14098 solver.cpp:337]     [0.0] Iteration 3450 (13.5919 iter/s, 1.83933s/25 iter), 17.3/30.1ep, loss = 22.569
I1115 04:23:18.649571 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.30433 (* 2 = 8.60866 loss)
I1115 04:23:18.649582 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.9604 (* 1 = 13.9604 loss)
I1115 04:23:18.649595 14098 sgd_solver.cpp:180] [0.0] Iteration 3450, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:20.484187 14098 solver.cpp:337]     [0.0] Iteration 3475 (13.6264 iter/s, 1.83467s/25 iter), 17.4/30.1ep, loss = 13.132
I1115 04:23:20.484237 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.725 (* 2 = 7.44999 loss)
I1115 04:23:20.484248 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.68211 (* 1 = 5.68211 loss)
I1115 04:23:20.484257 14098 sgd_solver.cpp:180] [0.0] Iteration 3475, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:22.302742 14098 solver.cpp:337]     [0.0] Iteration 3500 (13.7471 iter/s, 1.81856s/25 iter), 17.6/30.1ep, loss = 16.8139
I1115 04:23:22.303092 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.96397 (* 2 = 9.92794 loss)
I1115 04:23:22.303107 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.88601 (* 1 = 6.88601 loss)
I1115 04:23:22.303115 14098 sgd_solver.cpp:180] [0.0] Iteration 3500, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:24.135651 14098 solver.cpp:337]     [0.0] Iteration 3525 (13.6396 iter/s, 1.8329s/25 iter), 17.7/30.1ep, loss = 10.5134
I1115 04:23:24.135704 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.82681 (* 2 = 5.65362 loss)
I1115 04:23:24.135715 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.85985 (* 1 = 4.85985 loss)
I1115 04:23:24.135723 14098 sgd_solver.cpp:180] [0.0] Iteration 3525, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:25.930371 14098 solver.cpp:337]     [0.0] Iteration 3550 (13.9298 iter/s, 1.79472s/25 iter), 17.8/30.1ep, loss = 17.9016
I1115 04:23:25.930430 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.87203 (* 2 = 9.74405 loss)
I1115 04:23:25.930442 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.15758 (* 1 = 8.15758 loss)
I1115 04:23:25.930450 14098 sgd_solver.cpp:180] [0.0] Iteration 3550, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:26.291617 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:26.357977 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:27.729135 14098 solver.cpp:337]     [0.0] Iteration 3575 (13.8984 iter/s, 1.79876s/25 iter), 18/30.1ep, loss = 9.12488
I1115 04:23:27.729182 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.46508 (* 2 = 4.93015 loss)
I1115 04:23:27.729192 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.19478 (* 1 = 4.19478 loss)
I1115 04:23:27.729200 14098 sgd_solver.cpp:180] [0.0] Iteration 3575, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:29.454912 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_3600.caffemodel
I1115 04:23:29.577595 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_3600.solverstate
I1115 04:23:29.689079 14098 solver.cpp:494] Iteration 3600, Testing net (#0)
I1115 04:23:31.323427 14178 blocking_queue.cpp:40] Data layer prefetch queue empty
I1115 04:23:31.453056 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:31.586449 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:32.213805 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.18958 (* 2 = 6.37917 loss)
I1115 04:23:32.213847 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.3437 (* 1 = 6.3437 loss)
I1115 04:23:32.213855 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.21263
I1115 04:23:32.213860 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 29.2857
I1115 04:23:32.213867 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.37747
I1115 04:23:32.213917 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.48482s
I1115 04:23:32.286705 14098 solver.cpp:337]     [0.0] Iteration 3600 (5.57437 iter/s, 4.48482s/25 iter), 18.1/30.1ep, loss = 10.0882
I1115 04:23:32.286752 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.35122 (* 2 = 4.70244 loss)
I1115 04:23:32.286767 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.38584 (* 1 = 5.38584 loss)
I1115 04:23:32.286777 14098 sgd_solver.cpp:180] [0.0] Iteration 3600, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:34.095541 14098 solver.cpp:337]     [0.0] Iteration 3625 (13.8211 iter/s, 1.80883s/25 iter), 18.2/30.1ep, loss = 37.3106
I1115 04:23:34.095588 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 11.8577 (* 2 = 23.7154 loss)
I1115 04:23:34.095602 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.5952 (* 1 = 13.5952 loss)
I1115 04:23:34.095613 14098 sgd_solver.cpp:180] [0.0] Iteration 3625, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:35.907655 14098 solver.cpp:337]     [0.0] Iteration 3650 (13.7961 iter/s, 1.8121s/25 iter), 18.3/30.1ep, loss = 26.8151
I1115 04:23:35.907696 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.79186 (* 2 = 15.5837 loss)
I1115 04:23:35.907706 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.2314 (* 1 = 11.2314 loss)
I1115 04:23:35.907716 14098 sgd_solver.cpp:180] [0.0] Iteration 3650, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:37.711582 14098 solver.cpp:337]     [0.0] Iteration 3675 (13.8586 iter/s, 1.80393s/25 iter), 18.5/30.1ep, loss = 5.5609
I1115 04:23:37.711632 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.02867 (* 2 = 4.05734 loss)
I1115 04:23:37.711642 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.50361 (* 1 = 1.50361 loss)
I1115 04:23:37.711650 14098 sgd_solver.cpp:180] [0.0] Iteration 3675, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:39.505751 14098 solver.cpp:337]     [0.0] Iteration 3700 (13.9341 iter/s, 1.79416s/25 iter), 18.6/30.1ep, loss = 4.92434
I1115 04:23:39.505803 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.24116 (* 2 = 2.48233 loss)
I1115 04:23:39.505826 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.44206 (* 1 = 2.44206 loss)
I1115 04:23:39.505836 14098 sgd_solver.cpp:180] [0.0] Iteration 3700, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:41.303457 14098 solver.cpp:337]     [0.0] Iteration 3725 (13.9066 iter/s, 1.79771s/25 iter), 18.7/30.1ep, loss = 3.8412
I1115 04:23:41.303501 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.14658 (* 2 = 2.29317 loss)
I1115 04:23:41.303511 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.54808 (* 1 = 1.54808 loss)
I1115 04:23:41.303520 14098 sgd_solver.cpp:180] [0.0] Iteration 3725, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:43.108806 14098 solver.cpp:337]     [0.0] Iteration 3750 (13.8478 iter/s, 1.80535s/25 iter), 18.8/30.1ep, loss = 7.93903
I1115 04:23:43.108851 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.24866 (* 2 = 4.49733 loss)
I1115 04:23:43.108862 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.44175 (* 1 = 3.44175 loss)
I1115 04:23:43.108870 14098 sgd_solver.cpp:180] [0.0] Iteration 3750, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:43.546413 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:43.634964 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:44.913373 14098 solver.cpp:337]     [0.0] Iteration 3775 (13.8538 iter/s, 1.80457s/25 iter), 19/30.1ep, loss = 27.3186
I1115 04:23:44.913427 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.88691 (* 2 = 17.7738 loss)
I1115 04:23:44.913439 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.54478 (* 1 = 9.54478 loss)
I1115 04:23:44.913446 14098 sgd_solver.cpp:180] [0.0] Iteration 3775, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:46.649236 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_3800.caffemodel
I1115 04:23:46.720780 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_3800.solverstate
I1115 04:23:46.824986 14098 solver.cpp:494] Iteration 3800, Testing net (#0)
I1115 04:23:48.505080 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:48.638746 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:23:49.370060 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.13941 (* 2 = 6.27883 loss)
I1115 04:23:49.370097 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.46592 (* 1 = 6.46592 loss)
I1115 04:23:49.370105 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.91374
I1115 04:23:49.370110 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 25.2381
I1115 04:23:49.370180 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.14276
I1115 04:23:49.370234 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.45689s
I1115 04:23:49.448951 14098 solver.cpp:337]     [0.0] Iteration 3800 (5.6093 iter/s, 4.45689s/25 iter), 19.1/30.1ep, loss = 8.90346
I1115 04:23:49.449010 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.02913 (* 2 = 6.05825 loss)
I1115 04:23:49.449021 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.84526 (* 1 = 2.84526 loss)
I1115 04:23:49.449029 14098 sgd_solver.cpp:180] [0.0] Iteration 3800, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:51.275974 14098 solver.cpp:337]     [0.0] Iteration 3825 (13.6835 iter/s, 1.82702s/25 iter), 19.2/30.1ep, loss = 23.3424
I1115 04:23:51.276021 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.88087 (* 2 = 13.7617 loss)
I1115 04:23:51.276032 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.58073 (* 1 = 9.58073 loss)
I1115 04:23:51.276041 14098 sgd_solver.cpp:180] [0.0] Iteration 3825, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:53.099908 14098 solver.cpp:337]     [0.0] Iteration 3850 (13.7067 iter/s, 1.82393s/25 iter), 19.3/30.1ep, loss = 13.5627
I1115 04:23:53.100316 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.21072 (* 2 = 8.42145 loss)
I1115 04:23:53.100332 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.14126 (* 1 = 5.14126 loss)
I1115 04:23:53.100342 14098 sgd_solver.cpp:180] [0.0] Iteration 3850, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:54.920050 14098 solver.cpp:337]     [0.0] Iteration 3875 (13.7352 iter/s, 1.82014s/25 iter), 19.5/30.1ep, loss = 26.4007
I1115 04:23:54.920097 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.36532 (* 2 = 14.7306 loss)
I1115 04:23:54.920109 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.6701 (* 1 = 11.6701 loss)
I1115 04:23:54.920119 14098 sgd_solver.cpp:180] [0.0] Iteration 3875, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:56.726989 14098 solver.cpp:337]     [0.0] Iteration 3900 (13.8356 iter/s, 1.80694s/25 iter), 19.6/30.1ep, loss = 4.33999
I1115 04:23:56.727036 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.61617 (* 2 = 3.23234 loss)
I1115 04:23:56.727047 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.10771 (* 1 = 1.10771 loss)
I1115 04:23:56.727056 14098 sgd_solver.cpp:180] [0.0] Iteration 3900, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:23:58.529433 14098 solver.cpp:337]     [0.0] Iteration 3925 (13.8702 iter/s, 1.80243s/25 iter), 19.7/30.1ep, loss = 22.163
I1115 04:23:58.529484 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.43453 (* 2 = 14.8691 loss)
I1115 04:23:58.529495 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.29397 (* 1 = 7.29397 loss)
I1115 04:23:58.529505 14098 sgd_solver.cpp:180] [0.0] Iteration 3925, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:24:00.336788 14098 solver.cpp:337]     [0.0] Iteration 3950 (13.8323 iter/s, 1.80737s/25 iter), 19.8/30.1ep, loss = 14.5533
I1115 04:24:00.336838 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.54846 (* 2 = 7.09693 loss)
I1115 04:24:00.336848 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.45643 (* 1 = 7.45643 loss)
I1115 04:24:00.336856 14098 sgd_solver.cpp:180] [0.0] Iteration 3950, lr = 1e-05, m = 0.9, lrm = 0.0001, wd = 1e-06, gs = 1
I1115 04:24:00.634344 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:00.704704 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:02.160964 14098 solver.cpp:337]     [0.0] Iteration 3975 (13.7048 iter/s, 1.82418s/25 iter), 20/30.1ep, loss = 5.60458
I1115 04:24:02.161010 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.03487 (* 2 = 2.06975 loss)
I1115 04:24:02.161021 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.53489 (* 1 = 3.53489 loss)
I1115 04:24:02.161029 14098 sgd_solver.cpp:180] [0.0] Iteration 3975, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:03.896831 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_4000.caffemodel
I1115 04:24:03.991430 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_4000.solverstate
I1115 04:24:04.233279 14098 solver.cpp:494] Iteration 4000, Testing net (#0)
I1115 04:24:05.933220 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:06.066112 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:06.754676 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.76198 (* 2 = 7.52395 loss)
I1115 04:24:06.754714 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.51868 (* 1 = 7.51868 loss)
I1115 04:24:06.754720 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.50051
I1115 04:24:06.754726 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 34.2857
I1115 04:24:06.754734 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.50051
I1115 04:24:06.754783 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.59385s
I1115 04:24:06.830235 14098 solver.cpp:337]     [0.0] Iteration 4000 (5.44206 iter/s, 4.59385s/25 iter), 20.1/30.1ep, loss = 26.8138
I1115 04:24:06.830282 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.88958 (* 2 = 15.7792 loss)
I1115 04:24:06.830296 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.0347 (* 1 = 11.0347 loss)
I1115 04:24:06.830303 14098 sgd_solver.cpp:180] [0.0] Iteration 4000, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:08.642531 14098 solver.cpp:337]     [0.0] Iteration 4025 (13.7947 iter/s, 1.8123s/25 iter), 20.2/30.1ep, loss = 17.7232
I1115 04:24:08.642581 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.64918 (* 2 = 5.29837 loss)
I1115 04:24:08.642593 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.4249 (* 1 = 12.4249 loss)
I1115 04:24:08.642602 14098 sgd_solver.cpp:180] [0.0] Iteration 4025, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:10.458601 14098 solver.cpp:337]     [0.0] Iteration 4050 (13.7661 iter/s, 1.81606s/25 iter), 20.3/30.1ep, loss = 1.46337
I1115 04:24:10.458647 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 0.559934 (* 2 = 1.11987 loss)
I1115 04:24:10.458659 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 0.343552 (* 1 = 0.343552 loss)
I1115 04:24:10.458667 14098 sgd_solver.cpp:180] [0.0] Iteration 4050, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:12.271054 14098 solver.cpp:337]     [0.0] Iteration 4075 (13.7934 iter/s, 1.81246s/25 iter), 20.5/30.1ep, loss = 23.396
I1115 04:24:12.271103 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.15005 (* 2 = 12.3001 loss)
I1115 04:24:12.271114 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.0959 (* 1 = 11.0959 loss)
I1115 04:24:12.271123 14098 sgd_solver.cpp:180] [0.0] Iteration 4075, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:14.079358 14098 solver.cpp:337]     [0.0] Iteration 4100 (13.8251 iter/s, 1.8083s/25 iter), 20.6/30.1ep, loss = 10.3996
I1115 04:24:14.079443 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.09996 (* 2 = 6.19991 loss)
I1115 04:24:14.079454 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.19979 (* 1 = 4.19979 loss)
I1115 04:24:14.079464 14098 sgd_solver.cpp:180] [0.0] Iteration 4100, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:15.888909 14098 solver.cpp:337]     [0.0] Iteration 4125 (13.8156 iter/s, 1.80955s/25 iter), 20.7/30.1ep, loss = 23.2921
I1115 04:24:15.888960 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.42617 (* 2 = 10.8523 loss)
I1115 04:24:15.888972 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.4398 (* 1 = 12.4398 loss)
I1115 04:24:15.888993 14098 sgd_solver.cpp:180] [0.0] Iteration 4125, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:17.691718 14098 solver.cpp:337]     [0.0] Iteration 4150 (13.8673 iter/s, 1.80281s/25 iter), 20.8/30.1ep, loss = 6.90957
I1115 04:24:17.691769 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.17764 (* 2 = 4.35528 loss)
I1115 04:24:17.691781 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.55434 (* 1 = 2.55434 loss)
I1115 04:24:17.691789 14098 sgd_solver.cpp:180] [0.0] Iteration 4150, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:18.051641 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:18.127503 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:19.506443 14098 solver.cpp:337]     [0.0] Iteration 4175 (13.7763 iter/s, 1.81471s/25 iter), 21/30.1ep, loss = 8.00403
I1115 04:24:19.506489 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.33165 (* 2 = 2.6633 loss)
I1115 04:24:19.506501 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.34078 (* 1 = 5.34078 loss)
I1115 04:24:19.506510 14098 sgd_solver.cpp:180] [0.0] Iteration 4175, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:21.245121 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_4200.caffemodel
I1115 04:24:21.315874 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_4200.solverstate
I1115 04:24:21.427178 14098 solver.cpp:494] Iteration 4200, Testing net (#0)
I1115 04:24:23.113340 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:23.247639 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:23.973776 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.72466 (* 2 = 7.44931 loss)
I1115 04:24:23.973814 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.26119 (* 1 = 7.26119 loss)
I1115 04:24:23.973820 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.17144
I1115 04:24:23.973826 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 28.5714
I1115 04:24:23.973834 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.17144
I1115 04:24:23.973875 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.46747s
I1115 04:24:24.045850 14098 solver.cpp:337]     [0.0] Iteration 4200 (5.596 iter/s, 4.46747s/25 iter), 21.1/30.1ep, loss = 13.9985
I1115 04:24:24.045903 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.04452 (* 2 = 8.08905 loss)
I1115 04:24:24.045914 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.90955 (* 1 = 5.90955 loss)
I1115 04:24:24.045923 14098 sgd_solver.cpp:180] [0.0] Iteration 4200, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:25.866222 14098 solver.cpp:337]     [0.0] Iteration 4225 (13.7335 iter/s, 1.82037s/25 iter), 21.2/30.1ep, loss = 25.7354
I1115 04:24:25.866272 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.8966 (* 2 = 13.7932 loss)
I1115 04:24:25.866284 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.9423 (* 1 = 11.9423 loss)
I1115 04:24:25.866293 14098 sgd_solver.cpp:180] [0.0] Iteration 4225, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:27.696533 14098 solver.cpp:337]     [0.0] Iteration 4250 (13.659 iter/s, 1.83029s/25 iter), 21.3/30.1ep, loss = 13.407
I1115 04:24:27.696601 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.32546 (* 2 = 4.65093 loss)
I1115 04:24:27.696614 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.7561 (* 1 = 8.7561 loss)
I1115 04:24:27.696621 14098 sgd_solver.cpp:180] [0.0] Iteration 4250, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:29.529887 14098 solver.cpp:337]     [0.0] Iteration 4275 (13.6363 iter/s, 1.83334s/25 iter), 21.5/30.1ep, loss = 17.2277
I1115 04:24:29.529935 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.57395 (* 2 = 7.14791 loss)
I1115 04:24:29.529947 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.0799 (* 1 = 10.0799 loss)
I1115 04:24:29.529956 14098 sgd_solver.cpp:180] [0.0] Iteration 4275, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:31.355515 14098 solver.cpp:337]     [0.0] Iteration 4300 (13.6938 iter/s, 1.82564s/25 iter), 21.6/30.1ep, loss = 11.3883
I1115 04:24:31.355561 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.28614 (* 2 = 6.57228 loss)
I1115 04:24:31.355571 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.81606 (* 1 = 4.81606 loss)
I1115 04:24:31.355579 14098 sgd_solver.cpp:180] [0.0] Iteration 4300, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:33.181663 14098 solver.cpp:337]     [0.0] Iteration 4325 (13.6901 iter/s, 1.82614s/25 iter), 21.7/30.1ep, loss = 8.69405
I1115 04:24:33.181713 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.86206 (* 2 = 5.72412 loss)
I1115 04:24:33.181725 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.96998 (* 1 = 2.96998 loss)
I1115 04:24:33.181732 14098 sgd_solver.cpp:180] [0.0] Iteration 4325, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:34.998317 14098 solver.cpp:337]     [0.0] Iteration 4350 (13.7617 iter/s, 1.81663s/25 iter), 21.8/30.1ep, loss = 28.1612
I1115 04:24:34.998368 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.52702 (* 2 = 15.054 loss)
I1115 04:24:34.998379 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.1072 (* 1 = 13.1072 loss)
I1115 04:24:34.998389 14098 sgd_solver.cpp:180] [0.0] Iteration 4350, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:35.214740 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:35.284593 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:36.817883 14098 solver.cpp:337]     [0.0] Iteration 4375 (13.7395 iter/s, 1.81957s/25 iter), 22/30.1ep, loss = 19.0482
I1115 04:24:36.817950 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.15426 (* 2 = 8.30853 loss)
I1115 04:24:36.817961 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.7397 (* 1 = 10.7397 loss)
I1115 04:24:36.817970 14098 sgd_solver.cpp:180] [0.0] Iteration 4375, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:38.572649 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_4400.caffemodel
I1115 04:24:38.665357 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_4400.solverstate
I1115 04:24:38.807528 14098 solver.cpp:494] Iteration 4400, Testing net (#0)
I1115 04:24:40.439528 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:40.573957 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:41.367460 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.25825 (* 2 = 6.5165 loss)
I1115 04:24:41.367496 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.7216 (* 1 = 6.7216 loss)
I1115 04:24:41.367503 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.46457
I1115 04:24:41.367509 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 21.4286
I1115 04:24:41.367516 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.57446
I1115 04:24:41.367563 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.54971s
I1115 04:24:41.440127 14098 solver.cpp:337]     [0.0] Iteration 4400 (5.49485 iter/s, 4.54971s/25 iter), 22.1/30.1ep, loss = 32.5911
I1115 04:24:41.440198 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.57659 (* 2 = 15.1532 loss)
I1115 04:24:41.440213 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 17.438 (* 1 = 17.438 loss)
I1115 04:24:41.440222 14098 sgd_solver.cpp:180] [0.0] Iteration 4400, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:43.267087 14098 solver.cpp:337]     [0.0] Iteration 4425 (13.684 iter/s, 1.82695s/25 iter), 22.2/30.1ep, loss = 19.1927
I1115 04:24:43.267139 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.51046 (* 2 = 13.0209 loss)
I1115 04:24:43.267150 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.17183 (* 1 = 6.17183 loss)
I1115 04:24:43.267161 14098 sgd_solver.cpp:180] [0.0] Iteration 4425, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:45.081647 14098 solver.cpp:337]     [0.0] Iteration 4450 (13.7776 iter/s, 1.81454s/25 iter), 22.3/30.1ep, loss = 14.2256
I1115 04:24:45.081714 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.77668 (* 2 = 9.55335 loss)
I1115 04:24:45.081727 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.67234 (* 1 = 4.67234 loss)
I1115 04:24:45.081737 14098 sgd_solver.cpp:180] [0.0] Iteration 4450, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:46.882336 14098 solver.cpp:337]     [0.0] Iteration 4475 (13.8836 iter/s, 1.80069s/25 iter), 22.5/30.1ep, loss = 8.08857
I1115 04:24:46.882386 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.00753 (* 2 = 4.01507 loss)
I1115 04:24:46.882400 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.07356 (* 1 = 4.07356 loss)
I1115 04:24:46.882408 14098 sgd_solver.cpp:180] [0.0] Iteration 4475, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:48.687523 14098 solver.cpp:337]     [0.0] Iteration 4500 (13.8489 iter/s, 1.80519s/25 iter), 22.6/30.1ep, loss = 10.2316
I1115 04:24:48.687590 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.57473 (* 2 = 5.14947 loss)
I1115 04:24:48.687602 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.08224 (* 1 = 5.08224 loss)
I1115 04:24:48.687695 14098 sgd_solver.cpp:180] [0.0] Iteration 4500, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:50.506924 14098 solver.cpp:337]     [0.0] Iteration 4525 (13.741 iter/s, 1.81937s/25 iter), 22.7/30.1ep, loss = 6.19601
I1115 04:24:50.506973 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.07264 (* 2 = 4.14527 loss)
I1115 04:24:50.506984 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.0508 (* 1 = 2.0508 loss)
I1115 04:24:50.506994 14098 sgd_solver.cpp:180] [0.0] Iteration 4525, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:52.324321 14098 solver.cpp:337]     [0.0] Iteration 4550 (13.7559 iter/s, 1.81741s/25 iter), 22.8/30.1ep, loss = 6.33142
I1115 04:24:52.324369 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.24957 (* 2 = 4.49914 loss)
I1115 04:24:52.324381 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.83235 (* 1 = 1.83235 loss)
I1115 04:24:52.324390 14098 sgd_solver.cpp:180] [0.0] Iteration 4550, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:52.396446 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:52.467597 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:54.124362 14098 solver.cpp:337]     [0.0] Iteration 4575 (13.8887 iter/s, 1.80003s/25 iter), 23/30.1ep, loss = 19.9385
I1115 04:24:54.124728 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.47291 (* 2 = 10.9458 loss)
I1115 04:24:54.124760 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.99275 (* 1 = 8.99275 loss)
I1115 04:24:54.124770 14098 sgd_solver.cpp:180] [0.0] Iteration 4575, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:24:55.856779 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_4600.caffemodel
I1115 04:24:55.929436 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_4600.solverstate
I1115 04:24:56.037317 14098 solver.cpp:494] Iteration 4600, Testing net (#0)
I1115 04:24:57.676740 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:57.815294 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:24:58.627154 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.65817 (* 2 = 7.31634 loss)
I1115 04:24:58.627195 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.20532 (* 1 = 7.20532 loss)
I1115 04:24:58.627202 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.91929
I1115 04:24:58.627208 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 40
I1115 04:24:58.627215 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.91929
I1115 04:24:58.627259 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.50294s
I1115 04:24:58.704464 14098 solver.cpp:337]     [0.0] Iteration 4600 (5.55193 iter/s, 4.50294s/25 iter), 23.1/30.1ep, loss = 23.4852
I1115 04:24:58.704511 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.61657 (* 2 = 13.2331 loss)
I1115 04:24:58.704522 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.2522 (* 1 = 10.2522 loss)
I1115 04:24:58.704531 14098 sgd_solver.cpp:180] [0.0] Iteration 4600, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:00.515179 14098 solver.cpp:337]     [0.0] Iteration 4625 (13.8067 iter/s, 1.81071s/25 iter), 23.2/30.1ep, loss = 15.9333
I1115 04:25:00.515242 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.59177 (* 2 = 9.18355 loss)
I1115 04:25:00.515252 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.74982 (* 1 = 6.74982 loss)
I1115 04:25:00.515261 14098 sgd_solver.cpp:180] [0.0] Iteration 4625, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:02.316620 14098 solver.cpp:337]     [0.0] Iteration 4650 (13.8779 iter/s, 1.80142s/25 iter), 23.3/30.1ep, loss = 16.0488
I1115 04:25:02.316716 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.79208 (* 2 = 7.58416 loss)
I1115 04:25:02.316766 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.46471 (* 1 = 8.46471 loss)
I1115 04:25:02.316792 14098 sgd_solver.cpp:180] [0.0] Iteration 4650, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:04.115494 14098 solver.cpp:337]     [0.0] Iteration 4675 (13.8978 iter/s, 1.79884s/25 iter), 23.5/30.1ep, loss = 16.0146
I1115 04:25:04.115545 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.23978 (* 2 = 8.47955 loss)
I1115 04:25:04.115559 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.53515 (* 1 = 7.53515 loss)
I1115 04:25:04.115567 14098 sgd_solver.cpp:180] [0.0] Iteration 4675, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:05.912591 14098 solver.cpp:337]     [0.0] Iteration 4700 (13.911 iter/s, 1.79713s/25 iter), 23.6/30.1ep, loss = 19.9109
I1115 04:25:05.912639 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.72382 (* 2 = 7.44763 loss)
I1115 04:25:05.912650 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.4633 (* 1 = 12.4633 loss)
I1115 04:25:05.912662 14098 sgd_solver.cpp:180] [0.0] Iteration 4700, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:07.730710 14098 solver.cpp:337]     [0.0] Iteration 4725 (13.7505 iter/s, 1.81812s/25 iter), 23.7/30.1ep, loss = 7.73918
I1115 04:25:07.730758 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.10599 (* 2 = 4.21198 loss)
I1115 04:25:07.733184 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.52728 (* 1 = 3.52728 loss)
I1115 04:25:07.733199 14098 sgd_solver.cpp:180] [0.0] Iteration 4725, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:09.558594 14098 solver.cpp:337]     [0.0] Iteration 4750 (13.677 iter/s, 1.82788s/25 iter), 23.9/30.1ep, loss = 8.00591
I1115 04:25:09.558640 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.38601 (* 2 = 4.77201 loss)
I1115 04:25:09.558650 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.23397 (* 1 = 3.23397 loss)
I1115 04:25:09.558658 14098 sgd_solver.cpp:180] [0.0] Iteration 4750, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:09.706193 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:09.773757 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:11.374464 14098 solver.cpp:337]     [0.0] Iteration 4775 (13.7676 iter/s, 1.81586s/25 iter), 24/30.1ep, loss = 16.1877
I1115 04:25:11.374511 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.10013 (* 2 = 10.2003 loss)
I1115 04:25:11.374522 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.98753 (* 1 = 5.98753 loss)
I1115 04:25:11.374531 14098 sgd_solver.cpp:180] [0.0] Iteration 4775, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:13.112581 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_4800.caffemodel
I1115 04:25:13.208180 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_4800.solverstate
I1115 04:25:13.312466 14098 solver.cpp:494] Iteration 4800, Testing net (#0)
I1115 04:25:14.918535 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:15.052426 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:15.913461 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.25423 (* 2 = 6.50846 loss)
I1115 04:25:15.913501 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.56636 (* 1 = 6.56636 loss)
I1115 04:25:15.913507 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.98679
I1115 04:25:15.913512 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 25.7143
I1115 04:25:15.913519 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.14552
I1115 04:25:15.913571 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.53915s
I1115 04:25:15.986613 14098 solver.cpp:337]     [0.0] Iteration 4800 (5.50764 iter/s, 4.53915s/25 iter), 24.1/30.1ep, loss = 14.5747
I1115 04:25:15.986665 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.72622 (* 2 = 7.45245 loss)
I1115 04:25:15.986678 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.12229 (* 1 = 7.12229 loss)
I1115 04:25:15.986686 14098 sgd_solver.cpp:180] [0.0] Iteration 4800, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:17.789556 14098 solver.cpp:337]     [0.0] Iteration 4825 (13.8662 iter/s, 1.80294s/25 iter), 24.2/30.1ep, loss = 5.81735
I1115 04:25:17.789603 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.39952 (* 2 = 2.79904 loss)
I1115 04:25:17.789615 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.01838 (* 1 = 3.01838 loss)
I1115 04:25:17.789623 14098 sgd_solver.cpp:180] [0.0] Iteration 4825, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:19.625691 14098 solver.cpp:337]     [0.0] Iteration 4850 (13.6156 iter/s, 1.83613s/25 iter), 24.4/30.1ep, loss = 7.40958
I1115 04:25:19.625741 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 1.98641 (* 2 = 3.97282 loss)
I1115 04:25:19.625751 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.43684 (* 1 = 3.43684 loss)
I1115 04:25:19.625761 14098 sgd_solver.cpp:180] [0.0] Iteration 4850, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:21.444135 14098 solver.cpp:337]     [0.0] Iteration 4875 (13.7482 iter/s, 1.81842s/25 iter), 24.5/30.1ep, loss = 11.794
I1115 04:25:21.444253 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.31967 (* 2 = 6.63934 loss)
I1115 04:25:21.444267 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.15478 (* 1 = 5.15478 loss)
I1115 04:25:21.444276 14098 sgd_solver.cpp:180] [0.0] Iteration 4875, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:23.251433 14098 solver.cpp:337]     [0.0] Iteration 4900 (13.8328 iter/s, 1.8073s/25 iter), 24.6/30.1ep, loss = 15.9193
I1115 04:25:23.251480 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.4116 (* 2 = 10.8232 loss)
I1115 04:25:23.251492 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.09612 (* 1 = 5.09612 loss)
I1115 04:25:23.251499 14098 sgd_solver.cpp:180] [0.0] Iteration 4900, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:25.058347 14098 solver.cpp:337]     [0.0] Iteration 4925 (13.8358 iter/s, 1.80691s/25 iter), 24.7/30.1ep, loss = 22.2989
I1115 04:25:25.058748 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.04929 (* 2 = 12.0986 loss)
I1115 04:25:25.058765 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.2004 (* 1 = 10.2004 loss)
I1115 04:25:25.058774 14098 sgd_solver.cpp:180] [0.0] Iteration 4925, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:26.864670 14098 solver.cpp:337]     [0.0] Iteration 4950 (13.8403 iter/s, 1.80632s/25 iter), 24.9/30.1ep, loss = 14.8282
I1115 04:25:26.864717 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.48645 (* 2 = 10.9729 loss)
I1115 04:25:26.864727 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.85534 (* 1 = 3.85534 loss)
I1115 04:25:26.864735 14098 sgd_solver.cpp:180] [0.0] Iteration 4950, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:26.865002 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:26.941864 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:28.681223 14098 solver.cpp:337]     [0.0] Iteration 4975 (13.7623 iter/s, 1.81655s/25 iter), 25/30.1ep, loss = 26.2748
I1115 04:25:28.681277 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.508 (* 2 = 13.016 loss)
I1115 04:25:28.681288 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.2589 (* 1 = 13.2589 loss)
I1115 04:25:28.681298 14098 sgd_solver.cpp:180] [0.0] Iteration 4975, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:30.427188 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_5000.caffemodel
I1115 04:25:30.500569 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_5000.solverstate
I1115 04:25:30.605787 14098 solver.cpp:494] Iteration 5000, Testing net (#0)
I1115 04:25:32.155221 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:32.295687 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:33.170891 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.13347 (* 2 = 6.26694 loss)
I1115 04:25:33.170930 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.05197 (* 1 = 6.05197 loss)
I1115 04:25:33.170936 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.87427
I1115 04:25:33.170943 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 35.7143
I1115 04:25:33.170949 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.99332
I1115 04:25:33.170998 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.4898s
I1115 04:25:33.244771 14098 solver.cpp:337]     [0.0] Iteration 5000 (5.56818 iter/s, 4.4898s/25 iter), 25.1/30.1ep, loss = 22.4996
I1115 04:25:33.244870 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.90408 (* 2 = 11.8082 loss)
I1115 04:25:33.244881 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.6915 (* 1 = 10.6915 loss)
I1115 04:25:33.244891 14098 sgd_solver.cpp:180] [0.0] Iteration 5000, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:35.050976 14098 solver.cpp:337]     [0.0] Iteration 5025 (13.841 iter/s, 1.80623s/25 iter), 25.2/30.1ep, loss = 17.0174
I1115 04:25:35.051026 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.02188 (* 2 = 10.0438 loss)
I1115 04:25:35.051038 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.97371 (* 1 = 6.97371 loss)
I1115 04:25:35.051048 14098 sgd_solver.cpp:180] [0.0] Iteration 5025, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:36.855177 14098 solver.cpp:337]     [0.0] Iteration 5050 (13.8566 iter/s, 1.8042s/25 iter), 25.4/30.1ep, loss = 18.7608
I1115 04:25:36.855226 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.7885 (* 2 = 9.57701 loss)
I1115 04:25:36.855237 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.1839 (* 1 = 9.1839 loss)
I1115 04:25:36.855247 14098 sgd_solver.cpp:180] [0.0] Iteration 5050, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:38.675089 14098 solver.cpp:337]     [0.0] Iteration 5075 (13.7369 iter/s, 1.81991s/25 iter), 25.5/30.1ep, loss = 19.2171
I1115 04:25:38.675207 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.38276 (* 2 = 8.76553 loss)
I1115 04:25:38.675220 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.4516 (* 1 = 10.4516 loss)
I1115 04:25:38.675230 14098 sgd_solver.cpp:180] [0.0] Iteration 5075, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:40.487000 14098 solver.cpp:337]     [0.0] Iteration 5100 (13.798 iter/s, 1.81186s/25 iter), 25.6/30.1ep, loss = 28.5314
I1115 04:25:40.487051 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.72103 (* 2 = 15.4421 loss)
I1115 04:25:40.487064 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.0894 (* 1 = 13.0894 loss)
I1115 04:25:40.487073 14098 sgd_solver.cpp:180] [0.0] Iteration 5100, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:42.285302 14098 solver.cpp:337]     [0.0] Iteration 5125 (13.9019 iter/s, 1.79832s/25 iter), 25.7/30.1ep, loss = 6.93204
I1115 04:25:42.285352 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.08559 (* 2 = 4.17118 loss)
I1115 04:25:42.285364 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 2.76094 (* 1 = 2.76094 loss)
I1115 04:25:42.285373 14098 sgd_solver.cpp:180] [0.0] Iteration 5125, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:44.121861 14098 solver.cpp:337]     [0.0] Iteration 5150 (13.6124 iter/s, 1.83655s/25 iter), 25.9/30.1ep, loss = 10.8252
I1115 04:25:44.121907 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.52613 (* 2 = 5.05225 loss)
I1115 04:25:44.121918 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.77298 (* 1 = 5.77298 loss)
I1115 04:25:44.121927 14098 sgd_solver.cpp:180] [0.0] Iteration 5150, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:44.194691 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:44.233299 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:45.929276 14098 solver.cpp:337]     [0.0] Iteration 5175 (13.832 iter/s, 1.8074s/25 iter), 26/30.1ep, loss = 2.20678
I1115 04:25:45.929322 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 0.577469 (* 2 = 1.15494 loss)
I1115 04:25:45.929334 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 1.05192 (* 1 = 1.05192 loss)
I1115 04:25:45.929342 14098 sgd_solver.cpp:180] [0.0] Iteration 5175, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:47.672488 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_5200.caffemodel
I1115 04:25:47.766947 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_5200.solverstate
I1115 04:25:48.156786 14098 solver.cpp:494] Iteration 5200, Testing net (#0)
I1115 04:25:49.681653 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:49.814548 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:25:50.616689 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.17086 (* 2 = 6.34172 loss)
I1115 04:25:50.616722 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.18903 (* 1 = 6.18903 loss)
I1115 04:25:50.616729 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.90161
I1115 04:25:50.616735 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 34.7619
I1115 04:25:50.616751 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 3.12354
I1115 04:25:50.616816 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.68759s
I1115 04:25:50.689390 14098 solver.cpp:337]     [0.0] Iteration 5200 (5.33323 iter/s, 4.68759s/25 iter), 26.1/30.1ep, loss = 21.7641
I1115 04:25:50.689435 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.02099 (* 2 = 12.042 loss)
I1115 04:25:50.689447 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.72219 (* 1 = 9.72219 loss)
I1115 04:25:50.689456 14098 sgd_solver.cpp:180] [0.0] Iteration 5200, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:52.508492 14098 solver.cpp:337]     [0.0] Iteration 5225 (13.7431 iter/s, 1.8191s/25 iter), 26.2/30.1ep, loss = 11.7685
I1115 04:25:52.508541 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.99961 (* 2 = 7.99922 loss)
I1115 04:25:52.508554 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.7694 (* 1 = 3.7694 loss)
I1115 04:25:52.508563 14098 sgd_solver.cpp:180] [0.0] Iteration 5225, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:54.315310 14098 solver.cpp:337]     [0.0] Iteration 5250 (13.8365 iter/s, 1.80682s/25 iter), 26.4/30.1ep, loss = 17.6234
I1115 04:25:54.315357 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.63124 (* 2 = 11.2625 loss)
I1115 04:25:54.315367 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.36097 (* 1 = 6.36097 loss)
I1115 04:25:54.315376 14098 sgd_solver.cpp:180] [0.0] Iteration 5250, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:56.117276 14098 solver.cpp:337]     [0.0] Iteration 5275 (13.8738 iter/s, 1.80196s/25 iter), 26.5/30.1ep, loss = 32.862
I1115 04:25:56.117689 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.05024 (* 2 = 14.1005 loss)
I1115 04:25:56.117707 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 18.7616 (* 1 = 18.7616 loss)
I1115 04:25:56.117717 14098 sgd_solver.cpp:180] [0.0] Iteration 5275, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:57.922731 14098 solver.cpp:337]     [0.0] Iteration 5300 (13.8469 iter/s, 1.80545s/25 iter), 26.6/30.1ep, loss = 27.0812
I1115 04:25:57.922776 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.06916 (* 2 = 14.1383 loss)
I1115 04:25:57.922787 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.943 (* 1 = 12.943 loss)
I1115 04:25:57.922797 14098 sgd_solver.cpp:180] [0.0] Iteration 5300, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:25:59.739133 14098 solver.cpp:337]     [0.0] Iteration 5325 (13.7636 iter/s, 1.81639s/25 iter), 26.7/30.1ep, loss = 13.1615
I1115 04:25:59.739178 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.85216 (* 2 = 5.70431 loss)
I1115 04:25:59.739189 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.45728 (* 1 = 7.45728 loss)
I1115 04:25:59.739197 14098 sgd_solver.cpp:180] [0.0] Iteration 5325, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:01.490420 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:01.560214 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:01.562474 14098 solver.cpp:337]     [0.0] Iteration 5350 (13.711 iter/s, 1.82335s/25 iter), 26.9/30.1ep, loss = 16.5869
I1115 04:26:01.562537 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.93875 (* 2 = 7.87749 loss)
I1115 04:26:01.562548 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.7095 (* 1 = 8.7095 loss)
I1115 04:26:01.562557 14098 sgd_solver.cpp:180] [0.0] Iteration 5350, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:03.370676 14098 solver.cpp:337]     [0.0] Iteration 5375 (13.826 iter/s, 1.80819s/25 iter), 27/30.1ep, loss = 12.6289
I1115 04:26:03.370724 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.76743 (* 2 = 9.53485 loss)
I1115 04:26:03.370738 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 3.09415 (* 1 = 3.09415 loss)
I1115 04:26:03.370748 14098 sgd_solver.cpp:180] [0.0] Iteration 5375, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:05.101266 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_5400.caffemodel
I1115 04:26:05.174166 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_5400.solverstate
I1115 04:26:05.418074 14098 solver.cpp:494] Iteration 5400, Testing net (#0)
I1115 04:26:06.892029 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:07.030730 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:07.951476 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.06046 (* 2 = 6.12093 loss)
I1115 04:26:07.951512 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.39049 (* 1 = 6.39049 loss)
I1115 04:26:07.951519 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.12682
I1115 04:26:07.951525 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 17.1429
I1115 04:26:07.951532 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.3241
I1115 04:26:07.951575 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.58093s
I1115 04:26:08.023360 14098 solver.cpp:337]     [0.0] Iteration 5400 (5.45741 iter/s, 4.58093s/25 iter), 27.1/30.1ep, loss = 23.8927
I1115 04:26:08.023429 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.42858 (* 2 = 16.8572 loss)
I1115 04:26:08.023440 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.0356 (* 1 = 7.0356 loss)
I1115 04:26:08.023449 14098 sgd_solver.cpp:180] [0.0] Iteration 5400, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:09.867398 14098 solver.cpp:337]     [0.0] Iteration 5425 (13.5572 iter/s, 1.84403s/25 iter), 27.2/30.1ep, loss = 12.8316
I1115 04:26:09.867521 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.851 (* 2 = 7.70199 loss)
I1115 04:26:09.867534 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.12967 (* 1 = 5.12967 loss)
I1115 04:26:09.867542 14098 sgd_solver.cpp:180] [0.0] Iteration 5425, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:11.664139 14098 solver.cpp:337]     [0.0] Iteration 5450 (13.9142 iter/s, 1.79673s/25 iter), 27.4/30.1ep, loss = 13.978
I1115 04:26:11.664188 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.31626 (* 2 = 8.63252 loss)
I1115 04:26:11.664201 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.34554 (* 1 = 5.34554 loss)
I1115 04:26:11.664208 14098 sgd_solver.cpp:180] [0.0] Iteration 5450, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:13.476465 14098 solver.cpp:337]     [0.0] Iteration 5475 (13.7944 iter/s, 1.81232s/25 iter), 27.5/30.1ep, loss = 26.5781
I1115 04:26:13.476513 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.49111 (* 2 = 10.9822 loss)
I1115 04:26:13.476526 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 15.596 (* 1 = 15.596 loss)
I1115 04:26:13.476534 14098 sgd_solver.cpp:180] [0.0] Iteration 5475, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:15.284468 14098 solver.cpp:337]     [0.0] Iteration 5500 (13.8275 iter/s, 1.80799s/25 iter), 27.6/30.1ep, loss = 21.5454
I1115 04:26:15.284515 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.94923 (* 2 = 9.89847 loss)
I1115 04:26:15.284526 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.647 (* 1 = 11.647 loss)
I1115 04:26:15.284534 14098 sgd_solver.cpp:180] [0.0] Iteration 5500, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:17.083020 14098 solver.cpp:337]     [0.0] Iteration 5525 (13.9001 iter/s, 1.79855s/25 iter), 27.7/30.1ep, loss = 16.6516
I1115 04:26:17.083070 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 4.25429 (* 2 = 8.50858 loss)
I1115 04:26:17.083083 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.14311 (* 1 = 8.14311 loss)
I1115 04:26:17.083091 14098 sgd_solver.cpp:180] [0.0] Iteration 5525, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:18.667289 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:18.738103 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:18.883889 14098 solver.cpp:337]     [0.0] Iteration 5550 (13.8822 iter/s, 1.80087s/25 iter), 27.9/30.1ep, loss = 25.4771
I1115 04:26:18.883936 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.7849 (* 2 = 11.5698 loss)
I1115 04:26:18.883949 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 13.9073 (* 1 = 13.9073 loss)
I1115 04:26:18.883956 14098 sgd_solver.cpp:180] [0.0] Iteration 5550, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:20.712158 14098 solver.cpp:337]     [0.0] Iteration 5575 (13.6741 iter/s, 1.82827s/25 iter), 28/30.1ep, loss = 21.6644
I1115 04:26:20.712224 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.88577 (* 2 = 13.7715 loss)
I1115 04:26:20.712235 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.89291 (* 1 = 7.89291 loss)
I1115 04:26:20.712244 14098 sgd_solver.cpp:180] [0.0] Iteration 5575, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:22.453667 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_5600.caffemodel
I1115 04:26:22.524379 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_5600.solverstate
I1115 04:26:22.601397 14098 solver.cpp:494] Iteration 5600, Testing net (#0)
I1115 04:26:24.072783 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:24.204488 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:25.166288 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.72943 (* 2 = 7.45886 loss)
I1115 04:26:25.166330 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.5356 (* 1 = 7.5356 loss)
I1115 04:26:25.166337 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.89623
I1115 04:26:25.166343 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 30
I1115 04:26:25.166350 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.99147
I1115 04:26:25.166395 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.45427s
I1115 04:26:25.238059 14098 solver.cpp:337]     [0.0] Iteration 5600 (5.6126 iter/s, 4.45427s/25 iter), 28.1/30.1ep, loss = 20.4922
I1115 04:26:25.238139 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.18996 (* 2 = 12.3799 loss)
I1115 04:26:25.238150 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.11235 (* 1 = 8.11235 loss)
I1115 04:26:25.238159 14098 sgd_solver.cpp:180] [0.0] Iteration 5600, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:27.039530 14098 solver.cpp:337]     [0.0] Iteration 5625 (13.8778 iter/s, 1.80144s/25 iter), 28.2/30.1ep, loss = 18.5096
I1115 04:26:27.039746 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.38584 (* 2 = 10.7717 loss)
I1115 04:26:27.039759 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.73801 (* 1 = 7.73801 loss)
I1115 04:26:27.039768 14098 sgd_solver.cpp:180] [0.0] Iteration 5625, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:28.863951 14098 solver.cpp:337]     [0.0] Iteration 5650 (13.7029 iter/s, 1.82444s/25 iter), 28.4/30.1ep, loss = 23.5402
I1115 04:26:28.864001 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 8.4173 (* 2 = 16.8346 loss)
I1115 04:26:28.864014 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 6.70573 (* 1 = 6.70573 loss)
I1115 04:26:28.864022 14098 sgd_solver.cpp:180] [0.0] Iteration 5650, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:30.678715 14098 solver.cpp:337]     [0.0] Iteration 5675 (13.7758 iter/s, 1.81477s/25 iter), 28.5/30.1ep, loss = 11.6742
I1115 04:26:30.678766 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.46224 (* 2 = 6.92449 loss)
I1115 04:26:30.678776 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.74985 (* 1 = 4.74985 loss)
I1115 04:26:30.678784 14098 sgd_solver.cpp:180] [0.0] Iteration 5675, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:32.484066 14098 solver.cpp:337]     [0.0] Iteration 5700 (13.8478 iter/s, 1.80535s/25 iter), 28.6/30.1ep, loss = 19.4677
I1115 04:26:32.484117 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.59742 (* 2 = 11.1948 loss)
I1115 04:26:32.484130 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 8.27299 (* 1 = 8.27299 loss)
I1115 04:26:32.484141 14098 sgd_solver.cpp:180] [0.0] Iteration 5700, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:34.301096 14098 solver.cpp:337]     [0.0] Iteration 5725 (13.7587 iter/s, 1.81703s/25 iter), 28.7/30.1ep, loss = 17.9803
I1115 04:26:34.301146 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.35548 (* 2 = 10.711 loss)
I1115 04:26:34.301157 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.26939 (* 1 = 7.26939 loss)
I1115 04:26:34.301167 14098 sgd_solver.cpp:180] [0.0] Iteration 5725, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:35.962381 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:36.053970 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:36.112099 14098 solver.cpp:337]     [0.0] Iteration 5750 (13.8046 iter/s, 1.811s/25 iter), 28.9/30.1ep, loss = 26.9806
I1115 04:26:36.112149 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 7.6767 (* 2 = 15.3534 loss)
I1115 04:26:36.112162 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 11.6273 (* 1 = 11.6273 loss)
I1115 04:26:36.112171 14098 sgd_solver.cpp:180] [0.0] Iteration 5750, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:37.924419 14098 solver.cpp:337]     [0.0] Iteration 5775 (13.7947 iter/s, 1.81229s/25 iter), 29/30.1ep, loss = 9.52531
I1115 04:26:37.924468 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.70215 (* 2 = 5.40429 loss)
I1115 04:26:37.924479 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.12111 (* 1 = 4.12111 loss)
I1115 04:26:37.924489 14098 sgd_solver.cpp:180] [0.0] Iteration 5775, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:39.659489 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_5800.caffemodel
I1115 04:26:39.751111 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_5800.solverstate
I1115 04:26:40.057032 14098 solver.cpp:494] Iteration 5800, Testing net (#0)
I1115 04:26:41.589392 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:41.726871 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:42.610873 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.80097 (* 2 = 7.60195 loss)
I1115 04:26:42.611021 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 7.25446 (* 1 = 7.25446 loss)
I1115 04:26:42.611044 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 2.7476
I1115 04:26:42.611050 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 32.8571
I1115 04:26:42.611057 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 2.81903
I1115 04:26:42.611104 14098 solver.cpp:273] [MultiGPU] Tests completed in 4.68673s
I1115 04:26:42.684051 14098 solver.cpp:337]     [0.0] Iteration 5800 (5.33422 iter/s, 4.68673s/25 iter), 29.1/30.1ep, loss = 34.9094
I1115 04:26:42.684109 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 9.59933 (* 2 = 19.1987 loss)
I1115 04:26:42.684124 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 15.7109 (* 1 = 15.7109 loss)
I1115 04:26:42.684136 14098 sgd_solver.cpp:180] [0.0] Iteration 5800, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:44.498534 14098 solver.cpp:337]     [0.0] Iteration 5825 (13.778 iter/s, 1.81449s/25 iter), 29.2/30.1ep, loss = 15.0975
I1115 04:26:44.498594 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.66378 (* 2 = 7.32755 loss)
I1115 04:26:44.498607 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 7.77006 (* 1 = 7.77006 loss)
I1115 04:26:44.498617 14098 sgd_solver.cpp:180] [0.0] Iteration 5825, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:46.296267 14098 solver.cpp:337]     [0.0] Iteration 5850 (13.9065 iter/s, 1.79773s/25 iter), 29.4/30.1ep, loss = 14.923
I1115 04:26:46.296317 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.28122 (* 2 = 4.56243 loss)
I1115 04:26:46.296334 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.3606 (* 1 = 10.3606 loss)
I1115 04:26:46.296347 14098 sgd_solver.cpp:180] [0.0] Iteration 5850, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:48.098129 14098 solver.cpp:337]     [0.0] Iteration 5875 (13.8746 iter/s, 1.80185s/25 iter), 29.5/30.1ep, loss = 18.5668
I1115 04:26:48.098178 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.86443 (* 2 = 7.72886 loss)
I1115 04:26:48.098194 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.8381 (* 1 = 10.8381 loss)
I1115 04:26:48.098208 14098 sgd_solver.cpp:180] [0.0] Iteration 5875, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:49.900305 14098 solver.cpp:337]     [0.0] Iteration 5900 (13.8721 iter/s, 1.80218s/25 iter), 29.6/30.1ep, loss = 12.0736
I1115 04:26:49.900363 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 3.85574 (* 2 = 7.71148 loss)
I1115 04:26:49.900380 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 4.36226 (* 1 = 4.36226 loss)
I1115 04:26:49.900393 14098 sgd_solver.cpp:180] [0.0] Iteration 5900, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:51.727908 14098 solver.cpp:337]     [0.0] Iteration 5925 (13.6791 iter/s, 1.8276s/25 iter), 29.8/30.1ep, loss = 24.1495
I1115 04:26:51.727972 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.98854 (* 2 = 13.9771 loss)
I1115 04:26:51.727986 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 10.1726 (* 1 = 10.1726 loss)
I1115 04:26:51.727994 14098 sgd_solver.cpp:180] [0.0] Iteration 5925, lr = 1e-06, m = 0.9, lrm = 1e-05, wd = 1e-06, gs = 1
I1115 04:26:53.258249 14311 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:53.329322 14330 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:53.544152 14098 solver.cpp:337]     [0.0] Iteration 5950 (13.7647 iter/s, 1.81625s/25 iter), 29.9/30.1ep, loss = 22.843
I1115 04:26:53.544209 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 6.79261 (* 2 = 13.5852 loss)
I1115 04:26:53.544230 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 9.25786 (* 1 = 9.25786 loss)
I1115 04:26:53.544241 14098 sgd_solver.cpp:180] [0.0] Iteration 5950, lr = 1e-07, m = 0.9, lrm = 1e-06, wd = 1e-06, gs = 1
I1115 04:26:55.374349 14098 solver.cpp:337]     [0.0] Iteration 5975 (13.6597 iter/s, 1.8302s/25 iter), 30/30.1ep, loss = 17.4503
I1115 04:26:55.374410 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 2.68743 (* 2 = 5.37485 loss)
I1115 04:26:55.374425 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 12.0756 (* 1 = 12.0756 loss)
I1115 04:26:55.374439 14098 sgd_solver.cpp:180] [0.0] Iteration 5975, lr = 1e-07, m = 0.9, lrm = 1e-06, wd = 1e-06, gs = 1
I1115 04:26:57.115875 14098 solver.cpp:337]     [0.0] Iteration 6000 (13.7811 iter/s, 1.74151s/24 iter), 30.1/30.1ep, loss = 16.511
I1115 04:26:57.120718 14098 solver.cpp:358]     [0.0]     Train net output #0: loss_bbox = 5.43718 (* 2 = 10.8744 loss)
I1115 04:26:57.120851 14098 solver.cpp:358]     [0.0]     Train net output #1: loss_coverage = 5.63671 (* 1 = 5.63671 loss)
I1115 04:26:57.120863 14098 solver.cpp:763] Snapshotting to binary proto file snapshot_iter_6000.caffemodel
I1115 04:26:57.195282 14098 sgd_solver.cpp:419] Snapshotting solver state to binary proto file snapshot_iter_6000.solverstate
I1115 04:26:57.323911 14098 solver.cpp:459] Iteration 6000, loss = 6.90345
I1115 04:26:57.323958 14098 solver.cpp:494] Iteration 6000, Testing net (#0)
I1115 04:26:58.717135 14094 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:58.852843 14091 data_reader.cpp:322] Restarting data pre-fetching
I1115 04:26:59.896174 14098 solver.cpp:581]     (0.0)    Test net output #0: loss_bbox = 3.18618 (* 2 = 6.37236 loss)
I1115 04:26:59.896210 14098 solver.cpp:581]     (0.0)    Test net output #1: loss_coverage = 6.57784 (* 1 = 6.57784 loss)
I1115 04:26:59.896217 14098 solver.cpp:581]     (0.0)    Test net output #2: mAP = 1.65238
I1115 04:26:59.896224 14098 solver.cpp:581]     (0.0)    Test net output #3: precision = 24.2857
I1115 04:26:59.896230 14098 solver.cpp:581]     (0.0)    Test net output #4: recall = 1.76227
I1115 04:26:59.987948 14011 parallel.cpp:121] Root Solver performance on device 0: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.987969 14011 parallel.cpp:131]      Solver performance on device 1: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.987977 14011 parallel.cpp:131]      Solver performance on device 2: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.987984 14011 parallel.cpp:131]      Solver performance on device 3: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.987990 14011 parallel.cpp:131]      Solver performance on device 4: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.987998 14011 parallel.cpp:131]      Solver performance on device 5: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.988019 14011 parallel.cpp:131]      Solver performance on device 6: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.988025 14011 parallel.cpp:131]      Solver performance on device 7: 11.68 * 4 = 46.72 img/sec (6000 itr in 513.5 sec)
I1115 04:26:59.988029 14011 parallel.cpp:137] Node {0} multi-GPU performance: 373.783 img/sec
I1115 04:26:59.988081 14011 parallel.cpp:142] Overall performance: 373.783 img/sec
I1115 04:27:05.649211 14011 caffe.cpp:262] Optimization Done in 10m 23s