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sami saad
Apr 18, 2020, 8:07:25 AM4/18/20
to Caffe Users
hello
i have problem with train my dataset of 100 images in MobileNet-SSD model need some help pls
this is my log
sami@sami-PC:~/doc/caffe/examples/MobileNet-SSD$ ./train.sh
I0417 09:22:45.946480 4769 caffe.cpp:210] Use CPU.
I0417 09:22:45.946882 4769 solver.cpp:63] Initializing solver from parameters:
train_net: "example/MobileNetSSD_train.prototxt"
test_net: "example/MobileNetSSD_test.prototxt"
test_iter: 673
test_interval: 10000
base_lr: 0.0005
display: 10
max_iter: 120000
lr_policy: "multistep"
gamma: 0.5
weight_decay: 5e-05
snapshot: 1000
snapshot_prefix: "snapshot/mobilenet"
solver_mode: CPU
debug_info: false
train_state {
level: 0
stage: ""
}
snapshot_after_train: true
test_initialization: false
average_loss: 10
stepvalue: 20000
stepvalue: 40000
iter_size: 1
type: "RMSProp"
eval_type: "detection"
ap_version: "11point"
I0417 09:22:45.947808 4769 solver.cpp:96] Creating training net from train_net file: example/MobileNetSSD_train.prototxt
I0417 09:22:45.949203 4769 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: example/MobileNetSSD_train.prototxt
I0417 09:22:45.949266 4769 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I0417 09:22:45.949635 4769 net.cpp:58] Initializing net from parameters:
name: "MobileNet-SSD"
state {
phase: TRAIN
level: 0
stage: ""
}
layer {
name: "data"
type: "AnnotatedData"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
scale: 0.007843
mirror: true
mean_value: 127.5
mean_value: 127.5
mean_value: 127.5
resize_param {
prob: 1
resize_mode: WARP
height: 300
width: 300
interp_mode: LINEAR
interp_mode: AREA
interp_mode: NEAREST
interp_mode: CUBIC
interp_mode: LANCZOS4
}
emit_constraint {
emit_type: CENTER
}
distort_param {
brightness_prob: 0.5
brightness_delta: 32
contrast_prob: 0.5
contrast_lower: 0.5
contrast_upper: 1.5
hue_prob: 0.5
hue_delta: 18
saturation_prob: 0.5
saturation_lower: 0.5
saturation_upper: 1.5
random_order_prob: 0
}
expand_param {
prob: 0.5
max_expand_ratio: 4
}
}
data_param {
source: "trainval_lmdb/"
batch_size: 24
backend: LMDB
}
annotated_data_param {
batch_sampler {
max_sample: 1
max_trials: 1
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.1
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.3
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.5
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.7
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.9
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
max_jaccard_overlap: 1
}
max_sample: 1
max_trials: 50
}
label_map_file: "labelmap.prototxt"
}
}
layer {
name: "conv0"
type: "Convolution"
bottom: "data"
top: "conv0"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv0/bn"
type: "BatchNorm"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv0/scale"
type: "Scale"
bottom: "conv0"
top: "conv0"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv0/relu"
type: "ReLU"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv1/dw"
type: "Convolution"
bottom: "conv0"
top: "conv1/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
group: 32
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv1/dw/bn"
type: "BatchNorm"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1/dw/scale"
type: "Scale"
bottom: "conv1/dw"
top: "conv1/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/dw/relu"
type: "ReLU"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1"
type: "Convolution"
bottom: "conv1/dw"
top: "conv1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv1/scale"
type: "Scale"
bottom: "conv1"
top: "conv1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/relu"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv2/dw"
type: "Convolution"
bottom: "conv1"
top: "conv2/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
group: 64
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv2/dw/bn"
type: "BatchNorm"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2/dw/scale"
type: "Scale"
bottom: "conv2/dw"
top: "conv2/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/dw/relu"
type: "ReLU"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2"
type: "Convolution"
bottom: "conv2/dw"
top: "conv2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2/bn"
type: "BatchNorm"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv2/scale"
type: "Scale"
bottom: "conv2"
top: "conv2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/relu"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv3/dw"
type: "Convolution"
bottom: "conv2"
top: "conv3/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv3/dw/bn"
type: "BatchNorm"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3/dw/scale"
type: "Scale"
bottom: "conv3/dw"
top: "conv3/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/dw/relu"
type: "ReLU"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3"
type: "Convolution"
bottom: "conv3/dw"
top: "conv3"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3/bn"
type: "BatchNorm"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv3/scale"
type: "Scale"
bottom: "conv3"
top: "conv3"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/relu"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv4/dw"
type: "Convolution"
bottom: "conv3"
top: "conv4/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv4/dw/bn"
type: "BatchNorm"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4/dw/scale"
type: "Scale"
bottom: "conv4/dw"
top: "conv4/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/dw/relu"
type: "ReLU"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv4/dw"
top: "conv4"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4/bn"
type: "BatchNorm"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv4/scale"
type: "Scale"
bottom: "conv4"
top: "conv4"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/relu"
type: "ReLU"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv5/dw"
type: "Convolution"
bottom: "conv4"
top: "conv5/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv5/dw/bn"
type: "BatchNorm"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5/dw/scale"
type: "Scale"
bottom: "conv5/dw"
top: "conv5/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/dw/relu"
type: "ReLU"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv5/dw"
top: "conv5"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv5/bn"
type: "BatchNorm"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv5/scale"
type: "Scale"
bottom: "conv5"
top: "conv5"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/relu"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv6/dw"
type: "Convolution"
bottom: "conv5"
top: "conv6/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv6/dw/bn"
type: "BatchNorm"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6/dw/scale"
type: "Scale"
bottom: "conv6/dw"
top: "conv6/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/dw/relu"
type: "ReLU"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6"
type: "Convolution"
bottom: "conv6/dw"
top: "conv6"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv6/bn"
type: "BatchNorm"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv6/scale"
type: "Scale"
bottom: "conv6"
top: "conv6"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/relu"
type: "ReLU"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv7/dw"
type: "Convolution"
bottom: "conv6"
top: "conv7/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv7/dw/bn"
type: "BatchNorm"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7/dw/scale"
type: "Scale"
bottom: "conv7/dw"
top: "conv7/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/dw/relu"
type: "ReLU"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7"
type: "Convolution"
bottom: "conv7/dw"
top: "conv7"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv7/bn"
type: "BatchNorm"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv7/scale"
type: "Scale"
bottom: "conv7"
top: "conv7"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/relu"
type: "ReLU"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv8/dw"
type: "Convolution"
bottom: "conv7"
top: "conv8/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv8/dw/bn"
type: "BatchNorm"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8/dw/scale"
type: "Scale"
bottom: "conv8/dw"
top: "conv8/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/dw/relu"
type: "ReLU"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8"
type: "Convolution"
bottom: "conv8/dw"
top: "conv8"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv8/bn"
type: "BatchNorm"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv8/scale"
type: "Scale"
bottom: "conv8"
top: "conv8"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/relu"
type: "ReLU"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv9/dw"
type: "Convolution"
bottom: "conv8"
top: "conv9/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv9/dw/bn"
type: "BatchNorm"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9/dw/scale"
type: "Scale"
bottom: "conv9/dw"
top: "conv9/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/dw/relu"
type: "ReLU"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9"
type: "Convolution"
bottom: "conv9/dw"
top: "conv9"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv9/bn"
type: "BatchNorm"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv9/scale"
type: "Scale"
bottom: "conv9"
top: "conv9"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/relu"
type: "ReLU"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv10/dw"
type: "Convolution"
bottom: "conv9"
top: "conv10/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv10/dw/bn"
type: "BatchNorm"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10/dw/scale"
type: "Scale"
bottom: "conv10/dw"
top: "conv10/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/dw/relu"
type: "ReLU"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10"
type: "Convolution"
bottom: "conv10/dw"
top: "conv10"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv10/bn"
type: "BatchNorm"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv10/scale"
type: "Scale"
bottom: "conv10"
top: "conv10"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/relu"
type: "ReLU"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv11/dw"
type: "Convolution"
bottom: "conv10"
top: "conv11/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv11/dw/bn"
type: "BatchNorm"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11/dw/scale"
type: "Scale"
bottom: "conv11/dw"
top: "conv11/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/dw/relu"
type: "ReLU"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11"
type: "Convolution"
bottom: "conv11/dw"
top: "conv11"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv11/bn"
type: "BatchNorm"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv11/scale"
type: "Scale"
bottom: "conv11"
top: "conv11"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/relu"
type: "ReLU"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv12/dw"
type: "Convolution"
bottom: "conv11"
top: "conv12/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv12/dw/bn"
type: "BatchNorm"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12/dw/scale"
type: "Scale"
bottom: "conv12/dw"
top: "conv12/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/dw/relu"
type: "ReLU"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12"
type: "Convolution"
bottom: "conv12/dw"
top: "conv12"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv12/bn"
type: "BatchNorm"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv12/scale"
type: "Scale"
bottom: "conv12"
top: "conv12"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/relu"
type: "ReLU"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv13/dw"
type: "Convolution"
bottom: "conv12"
top: "conv13/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
pad: 1
kernel_size: 3
group: 1024
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv13/dw/bn"
type: "BatchNorm"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13/dw/scale"
type: "Scale"
bottom: "conv13/dw"
top: "conv13/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/dw/relu"
type: "ReLU"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13"
type: "Convolution"
bottom: "conv13/dw"
top: "conv13"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv13/bn"
type: "BatchNorm"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv13/scale"
type: "Scale"
bottom: "conv13"
top: "conv13"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/relu"
type: "ReLU"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv14_1"
type: "Convolution"
bottom: "conv13"
top: "conv14_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_1/bn"
type: "BatchNorm"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_1/scale"
type: "Scale"
bottom: "conv14_1"
top: "conv14_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_1/relu"
type: "ReLU"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_2"
type: "Convolution"
bottom: "conv14_1"
top: "conv14_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_2/bn"
type: "BatchNorm"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv14_2/scale"
type: "Scale"
bottom: "conv14_2"
top: "conv14_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_2/relu"
type: "ReLU"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv15_1"
type: "Convolution"
bottom: "conv14_2"
top: "conv15_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_1/bn"
type: "BatchNorm"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_1/scale"
type: "Scale"
bottom: "conv15_1"
top: "conv15_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_1/relu"
type: "ReLU"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_2"
type: "Convolution"
bottom: "conv15_1"
top: "conv15_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_2/bn"
type: "BatchNorm"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv15_2/scale"
type: "Scale"
bottom: "conv15_2"
top: "conv15_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_2/relu"
type: "ReLU"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv16_1"
type: "Convolution"
bottom: "conv15_2"
top: "conv16_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_1/bn"
type: "BatchNorm"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_1/scale"
type: "Scale"
bottom: "conv16_1"
top: "conv16_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_1/relu"
type: "ReLU"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_2"
type: "Convolution"
bottom: "conv16_1"
top: "conv16_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_2/bn"
type: "BatchNorm"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv16_2/scale"
type: "Scale"
bottom: "conv16_2"
top: "conv16_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_2/relu"
type: "ReLU"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv17_1"
type: "Convolution"
bottom: "conv16_2"
top: "conv17_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_1/bn"
type: "BatchNorm"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_1/scale"
type: "Scale"
bottom: "conv17_1"
top: "conv17_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_1/relu"
type: "ReLU"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_2"
type: "Convolution"
bottom: "conv17_1"
top: "conv17_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_2/bn"
type: "BatchNorm"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv17_2/scale"
type: "Scale"
bottom: "conv17_2"
top: "conv17_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_2/relu"
type: "ReLU"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv11_mbox_loc"
type: "Convolution"
bottom: "conv11"
top: "conv11_mbox_loc"
param {
lr_mult: 0.1
decay_mult: 0.1
}
param {
lr_mult: 0.2
decay_mult: 0
}
convolution_param {
num_output: 12
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv11_mbox_loc_perm"
type: "Permute"
bottom: "conv11_mbox_loc"
top: "conv11_mbox_loc_perm"
permute_param {
order: 0
or
I0417 09:22:45.969852 4769 layer_factory.hpp:77] Creating layer data
I0417 09:22:45.970495 4769 net.cpp:100] Creating Layer data
I0417 09:22:45.970628 4769 net.cpp:408] data -> data
I0417 09:22:45.970738 4769 net.cpp:408] data -> label
I0417 09:22:45.970912 4771 db_lmdb.cpp:35] Opened lmdb trainval_lmdb/
I0417 09:22:45.972250 4769 annotated_data_layer.cpp:62] output data size: 24,3,300,300
I0417 09:22:45.972394 4769 net.cpp:150] Setting up data
I0417 09:22:45.972445 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.972491 4769 net.cpp:157] Top shape: 1 1 1 8 (8)
I0417 09:22:45.972532 4769 net.cpp:165] Memory required for data: 25920032
I0417 09:22:45.972576 4769 layer_factory.hpp:77] Creating layer data_data_0_split
I0417 09:22:45.972679 4769 net.cpp:100] Creating Layer data_data_0_split
I0417 09:22:45.972723 4769 net.cpp:434] data_data_0_split <- data
I0417 09:22:45.972770 4769 net.cpp:408] data_data_0_split -> data_data_0_split_0
I0417 09:22:45.972817 4769 net.cpp:408] data_data_0_split -> data_data_0_split_1
I0417 09:22:45.972862 4769 net.cpp:408] data_data_0_split -> data_data_0_split_2
I0417 09:22:45.972906 4769 net.cpp:408] data_data_0_split -> data_data_0_split_3
I0417 09:22:45.972950 4769 net.cpp:408] data_data_0_split -> data_data_0_split_4
I0417 09:22:45.972993 4769 net.cpp:408] data_data_0_split -> data_data_0_split_5
I0417 09:22:45.973037 4769 net.cpp:408] data_data_0_split -> data_data_0_split_6
I0417 09:22:45.973089 4769 net.cpp:150] Setting up data_data_0_split
I0417 09:22:45.973131 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.973229 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.973278 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.979550 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.979580 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.979588 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.979596 4769 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:45.979604 4769 net.cpp:165] Memory required for data: 207360032
I0417 09:22:45.979612 4769 layer_factory.hpp:77] Creating layer conv0
I0417 09:22:45.979676 4769 net.cpp:100] Creating Layer conv0
I0417 09:22:45.979709 4769 net.cpp:434] conv0 <- data_data_0_split_0
I0417 09:22:45.979720 4769 net.cpp:408] conv0 -> conv0
I0417 09:22:45.979804 4769 net.cpp:150] Setting up conv0
I0417 09:22:45.979812 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.979898 4769 net.cpp:165] Memory required for data: 276480032
I0417 09:22:45.979915 4769 layer_factory.hpp:77] Creating layer conv0/bn
I0417 09:22:45.979929 4769 net.cpp:100] Creating Layer conv0/bn
I0417 09:22:45.979936 4769 net.cpp:434] conv0/bn <- conv0
I0417 09:22:45.979944 4769 net.cpp:395] conv0/bn -> conv0 (in-place)
I0417 09:22:45.980016 4769 net.cpp:150] Setting up conv0/bn
I0417 09:22:45.980057 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.980089 4769 net.cpp:165] Memory required for data: 345600032
I0417 09:22:45.980125 4769 layer_factory.hpp:77] Creating layer conv0/scale
I0417 09:22:45.980166 4769 net.cpp:100] Creating Layer conv0/scale
I0417 09:22:45.980190 4769 net.cpp:434] conv0/scale <- conv0
I0417 09:22:45.980264 4769 net.cpp:395] conv0/scale -> conv0 (in-place)
I0417 09:22:45.980322 4769 layer_factory.hpp:77] Creating layer conv0/scale
I0417 09:22:45.980458 4769 net.cpp:150] Setting up conv0/scale
I0417 09:22:45.980494 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.980527 4769 net.cpp:165] Memory required for data: 414720032
I0417 09:22:45.980561 4769 layer_factory.hpp:77] Creating layer conv0/relu
I0417 09:22:45.980594 4769 net.cpp:100] Creating Layer conv0/relu
I0417 09:22:45.980625 4769 net.cpp:434] conv0/relu <- conv0
I0417 09:22:45.980659 4769 net.cpp:395] conv0/relu -> conv0 (in-place)
I0417 09:22:45.980695 4769 net.cpp:150] Setting up conv0/relu
I0417 09:22:45.980727 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.980821 4769 net.cpp:165] Memory required for data: 483840032
I0417 09:22:45.980834 4769 layer_factory.hpp:77] Creating layer conv1/dw
I0417 09:22:45.980844 4769 net.cpp:100] Creating Layer conv1/dw
I0417 09:22:45.980851 4769 net.cpp:434] conv1/dw <- conv0
I0417 09:22:45.980859 4769 net.cpp:408] conv1/dw -> conv1/dw
I0417 09:22:45.980888 4769 net.cpp:150] Setting up conv1/dw
I0417 09:22:45.980897 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.980921 4769 net.cpp:165] Memory required for data: 552960032
I0417 09:22:45.980931 4769 layer_factory.hpp:77] Creating layer conv1/dw/bn
I0417 09:22:45.980952 4769 net.cpp:100] Creating Layer conv1/dw/bn
I0417 09:22:45.980959 4769 net.cpp:434] conv1/dw/bn <- conv1/dw
I0417 09:22:45.980980 4769 net.cpp:395] conv1/dw/bn -> conv1/dw (in-place)
I0417 09:22:45.981055 4769 net.cpp:150] Setting up conv1/dw/bn
I0417 09:22:45.981089 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.981122 4769 net.cpp:165] Memory required for data: 622080032
I0417 09:22:45.981155 4769 layer_factory.hpp:77] Creating layer conv1/dw/scale
I0417 09:22:45.981189 4769 net.cpp:100] Creating Layer conv1/dw/scale
I0417 09:22:45.981210 4769 net.cpp:434] conv1/dw/scale <- conv1/dw
I0417 09:22:45.981230 4769 net.cpp:395] conv1/dw/scale -> conv1/dw (in-place)
I0417 09:22:45.981245 4769 layer_factory.hpp:77] Creating layer conv1/dw/scale
I0417 09:22:45.981503 4769 net.cpp:150] Setting up conv1/dw/scale
I0417 09:22:45.981554 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.981587 4769 net.cpp:165] Memory required for data: 691200032
I0417 09:22:45.981621 4769 layer_factory.hpp:77] Creating layer conv1/dw/relu
I0417 09:22:45.981655 4769 net.cpp:100] Creating Layer conv1/dw/relu
I0417 09:22:45.981719 4769 net.cpp:434] conv1/dw/relu <- conv1/dw
I0417 09:22:45.981752 4769 net.cpp:395] conv1/dw/relu -> conv1/dw (in-place)
I0417 09:22:45.981786 4769 net.cpp:150] Setting up conv1/dw/relu
I0417 09:22:45.981818 4769 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:45.981917 4769 net.cpp:165] Memory required for data: 760320032
I0417 09:22:45.981977 4769 layer_factory.hpp:77] Creating layer conv1
I0417 09:22:45.982013 4769 net.cpp:100] Creating Layer conv1
I0417 09:22:45.982045 4769 net.cpp:434] conv1 <- conv1/dw
I0417 09:22:45.982079 4769 net.cpp:408] conv1 -> conv1
I0417 09:22:45.982146 4769 net.cpp:150] Setting up conv1
I0417 09:22:45.982180 4769 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:45.982213 4769 net.cpp:165] Memory required for data: 898560032
I0417 09:22:45.982245 4769 layer_factory.hpp:77] Creating layer conv1/bn
I0417 09:22:45.982283 4769 net.cpp:100] Creating Layer conv1/bn
I0417 09:22:45.982317 4769 net.cpp:434] conv1/bn <- conv1
I0417 09:22:45.982352 4769 net.cpp:395] conv1/bn -> conv1 (in-place)
I0417 09:22:45.983852 4769 net.cpp:150] Setting up conv1/bn
I0417 09:22:45.983975 4769 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:45.984056 4769 net.cpp:165] Memory required for data: 1036800032
I0417 09:22:45.984144 4769 layer_factory.hpp:77] Creating layer conv1/scale
I0417 09:22:45.984215 4769 net.cpp:100] Creating Layer conv1/scale
I0417 09:22:45.984347 4769 net.cpp:434] conv1/scale <- conv1
I0417 09:22:45.984439 4769 net.cpp:395] conv1/scale -> conv1 (in-place)
I0417 09:22:45.984508 4769 layer_factory.hpp:77] Creating layer conv1/scale
I0417 09:22:45.990861 4769 net.cpp:150] Setting up conv1/scale
I0417 09:22:45.991360 4769 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:45.991508 4769 net.cpp:165] Memory required for data: 1175040032
I0417 09:22:45.991609 4769 layer_factory.hpp:77] Creating layer conv1/relu
I0417 09:22:45.991971 4769 net.cpp:100] Creating Layer conv1/relu
I0417 09:22:45.992105 4769 net.cpp:434] conv1/relu <- conv1
I0417 09:22:45.992336 4769 net.cpp:395] conv1/relu -> conv1 (in-place)
I0417 09:22:45.992556 4769 net.cpp:150] Setting up conv1/relu
I0417 09:22:45.992638 4769 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:45.994513 4769 net.cpp:165] Memory required for data: 1313280032
I0417 09:22:45.994557 4769 layer_factory.hpp:77] Creating layer conv2/dw
I0417 09:22:45.994598 4769 net.cpp:100] Creating Layer conv2/dw
I0417 09:22:45.994632 4769 net.cpp:434] conv2/dw <- conv1
I0417 09:22:45.994668 4769 net.cpp:408] conv2/dw -> conv2/dw
I0417 09:22:45.994729 4769 net.cpp:150] Setting up conv2/dw
I0417 09:22:45.994763 4769 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:45.994798 4769 net.cpp:165] Memory required for data: 1347840032
I0417 09:22:45.994832 4769 layer_factory.hpp:77] Creating layer conv2/dw/bn
I0417 09:22:45.994865 4769 net.cpp:100] Creating Layer conv2/dw/bn
I0417 09:22:45.994930 4769 net.cpp:434] conv2/dw/bn <- conv2/dw
I0417 09:22:45.994997 4769 net.cpp:395] conv2/dw/bn -> conv2/dw (in-place)
I0417 09:22:45.995074 4769 net.cpp:150] Setting up conv2/dw/bn
I0417 09:22:45.995107 4769 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:45.995141 4769 net.cpp:165] Memory required for data: 1382400032
I0417 09:22:45.995174 4769 layer_factory.hpp:77] Creating layer conv2/dw/scale
I0417 09:22:45.995209 4769 net.cpp:100] Creating Layer conv2/dw/scale
I0417 09:22:45.995242 4769 net.cpp:434] conv2/dw/scale <- conv2/dw
I0417 09:22:45.995277 4769 net.cpp:395] conv2/dw/scale -> conv2/dw (in-place)
I0417 09:22:45.995316 4769 layer_factory.hpp:77] Creating layer conv2/dw/scale
I0417 09:22:45.995380 4769 net.cpp:150] Setting up conv2/dw/scale
I0417 09:22:45.995414 4769 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:45.995486 4769 net.cpp:165] Memory required for data: 1416960032
I0417 09:22:45.995563 4769 layer_factory.hpp:77] Creating layer conv2/dw/relu
I0417 09:22:45.995596 4769 net.cpp:100] Creating Layer conv2/dw/relu
I0417 09:22:45.999107 4769 net.cpp:434] conv2/dw/relu <- conv2/dw
I0417 09:22:45.999395 4769 net.cpp:395] conv2/dw/relu -> conv2/dw (in-place)
I0417 09:22:45.999490 4769 net.cpp:150] Setting up conv2/dw/relu
I0417 09:22:45.999523 4769 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:45.999559 4769 net.cpp:165] Memory required for data: 1451520032
I0417 09:22:45.999591 4769 layer_factory.hpp:77] Creating layer conv2
I0417 09:22:45.999629 4769 net.cpp:100] Creating Layer conv2
I0417 09:22:45.999662 4769 net.cpp:434] conv2 <- conv2/dw
I0417 09:22:45.999696 4769 net.cpp:408] conv2 -> conv2
I0417 09:22:45.999899 4769 net.cpp:150] Setting up conv2
I0417 09:22:45.999944 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:45.999979 4769 net.cpp:165] Memory required for data: 1520640032
I0417 09:22:46.000012 4769 layer_factory.hpp:77] Creating layer conv2/bn
I0417 09:22:46.000046 4769 net.cpp:100] Creating Layer conv2/bn
I0417 09:22:46.000077 4769 net.cpp:434] conv2/bn <- conv2
I0417 09:22:46.000110 4769 net.cpp:395] conv2/bn -> conv2 (in-place)
I0417 09:22:46.000174 4769 net.cpp:150] Setting up conv2/bn
I0417 09:22:46.000207 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.000239 4769 net.cpp:165] Memory required for data: 1589760032
I0417 09:22:46.000275 4769 layer_factory.hpp:77] Creating layer conv2/scale
I0417 09:22:46.000310 4769 net.cpp:100] Creating Layer conv2/scale
I0417 09:22:46.000399 4769 net.cpp:434] conv2/scale <- conv2
I0417 09:22:46.000454 4769 net.cpp:395] conv2/scale -> conv2 (in-place)
I0417 09:22:46.000494 4769 layer_factory.hpp:77] Creating layer conv2/scale
I0417 09:22:46.000560 4769 net.cpp:150] Setting up conv2/scale
I0417 09:22:46.000596 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.000627 4769 net.cpp:165] Memory required for data: 1658880032
I0417 09:22:46.000660 4769 layer_factory.hpp:77] Creating layer conv2/relu
I0417 09:22:46.000695 4769 net.cpp:100] Creating Layer conv2/relu
I0417 09:22:46.000728 4769 net.cpp:434] conv2/relu <- conv2
I0417 09:22:46.000761 4769 net.cpp:395] conv2/relu -> conv2 (in-place)
I0417 09:22:46.000794 4769 net.cpp:150] Setting up conv2/relu
I0417 09:22:46.000825 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.000859 4769 net.cpp:165] Memory required for data: 1728000032
I0417 09:22:46.000947 4769 layer_factory.hpp:77] Creating layer conv3/dw
I0417 09:22:46.000985 4769 net.cpp:100] Creating Layer conv3/dw
I0417 09:22:46.001018 4769 net.cpp:434] conv3/dw <- conv2
I0417 09:22:46.001050 4769 net.cpp:408] conv3/dw -> conv3/dw
I0417 09:22:46.001109 4769 net.cpp:150] Setting up conv3/dw
I0417 09:22:46.001144 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.001176 4769 net.cpp:165] Memory required for data: 1797120032
I0417 09:22:46.001209 4769 layer_factory.hpp:77] Creating layer conv3/dw/bn
I0417 09:22:46.001241 4769 net.cpp:100] Creating Layer conv3/dw/bn
I0417 09:22:46.001272 4769 net.cpp:434] conv3/dw/bn <- conv3/dw
I0417 09:22:46.001304 4769 net.cpp:395] conv3/dw/bn -> conv3/dw (in-place)
I0417 09:22:46.001358 4769 net.cpp:150] Setting up conv3/dw/bn
I0417 09:22:46.001391 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.001443 4769 net.cpp:165] Memory required for data: 1866240032
I0417 09:22:46.001525 4769 layer_factory.hpp:77] Creating layer conv3/dw/scale
I0417 09:22:46.001560 4769 net.cpp:100] Creating Layer conv3/dw/scale
I0417 09:22:46.001592 4769 net.cpp:434] conv3/dw/scale <- conv3/dw
I0417 09:22:46.001626 4769 net.cpp:395] conv3/dw/scale -> conv3/dw (in-place)
I0417 09:22:46.001663 4769 layer_factory.hpp:77] Creating layer conv3/dw/scale
I0417 09:22:46.001729 4769 net.cpp:150] Setting up conv3/dw/scale
I0417 09:22:46.001765 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.001797 4769 net.cpp:165] Memory required for data: 1935360032
I0417 09:22:46.001832 4769 layer_factory.hpp:77] Creating layer conv3/dw/relu
I0417 09:22:46.001868 4769 net.cpp:100] Creating Layer conv3/dw/relu
I0417 09:22:46.001932 4769 net.cpp:434] conv3/dw/relu <- conv3/dw
I0417 09:22:46.001984 4769 net.cpp:395] conv3/dw/relu -> conv3/dw (in-place)
I0417 09:22:46.002213 4769 net.cpp:150] Setting up conv3/dw/relu
I0417 09:22:46.002250 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.002283 4769 net.cpp:165] Memory required for data: 2004480032
I0417 09:22:46.002315 4769 layer_factory.hpp:77] Creating layer conv3
I0417 09:22:46.002348 4769 net.cpp:100] Creating Layer conv3
I0417 09:22:46.002380 4769 net.cpp:434] conv3 <- conv3/dw
I0417 09:22:46.002413 4769 net.cpp:408] conv3 -> conv3
I0417 09:22:46.002681 4769 net.cpp:150] Setting up conv3
I0417 09:22:46.002727 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.002761 4769 net.cpp:165] Memory required for data: 2073600032
I0417 09:22:46.002794 4769 layer_factory.hpp:77] Creating layer conv3/bn
I0417 09:22:46.002828 4769 net.cpp:100] Creating Layer conv3/bn
I0417 09:22:46.002861 4769 net.cpp:434] conv3/bn <- conv3
I0417 09:22:46.002892 4769 net.cpp:395] conv3/bn -> conv3 (in-place)
I0417 09:22:46.002948 4769 net.cpp:150] Setting up conv3/bn
I0417 09:22:46.002981 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.003015 4769 net.cpp:165] Memory required for data: 2142720032
I0417 09:22:46.003048 4769 layer_factory.hpp:77] Creating layer conv3/scale
I0417 09:22:46.003141 4769 net.cpp:100] Creating Layer conv3/scale
I0417 09:22:46.003175 4769 net.cpp:434] conv3/scale <- conv3
I0417 09:22:46.003208 4769 net.cpp:395] conv3/scale -> conv3 (in-place)
I0417 09:22:46.003245 4769 layer_factory.hpp:77] Creating layer conv3/scale
I0417 09:22:46.003307 4769 net.cpp:150] Setting up conv3/scale
I0417 09:22:46.003341 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.003373 4769 net.cpp:165] Memory required for data: 2211840032
I0417 09:22:46.003412 4769 layer_factory.hpp:77] Creating layer conv3/relu
I0417 09:22:46.003445 4769 net.cpp:100] Creating Layer conv3/relu
I0417 09:22:46.003477 4769 net.cpp:434] conv3/relu <- conv3
I0417 09:22:46.003509 4769 net.cpp:395] conv3/relu -> conv3 (in-place)
I0417 09:22:46.003542 4769 net.cpp:150] Setting up conv3/relu
I0417 09:22:46.003573 4769 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:46.003645 4769 net.cpp:165] Memory required for data: 2280960032
I0417 09:22:46.003700 4769 layer_factory.hpp:77] Creating layer conv4/dw
I0417 09:22:46.003737 4769 net.cpp:100] Creating Layer conv4/dw
I0417 09:22:46.003769 4769 net.cpp:434] conv4/dw <- conv3
I0417 09:22:46.003803 4769 net.cpp:408] conv4/dw -> conv4/dw
I0417 09:22:46.003917 4769 net.cpp:150] Setting up conv4/dw
I0417 09:22:46.003981 4769 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:46.004014 4769 net.cpp:165] Memory required for data: 2298703904
I0417 09:22:46.004048 4769 layer_factory.hpp:77] Creating layer conv4/dw/bn
I0417 09:22:46.004098 4769 net.cpp:100] Creating Layer conv4/dw/bn
I0417 09:22:46.004168 4769 net.cpp:434] conv4/dw/bn <- conv4/dw
I0417 09:22:46.004206 4769 net.cpp:395] conv4/dw/bn -> conv4/dw (in-place)
I0417 09:22:46.004252 4769 net.cpp:150] Setting up conv4/dw/bn
I0417 09:22:46.004285 4769 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:46.004317 4769 net.cpp:165] Memory required for data: 2316447776
I0417 09:22:46.004350 4769 layer_factory.hpp:77] Creating layer conv4/dw/scale
I0417 09:22:46.004385 4769 net.cpp:100] Creating Layer conv4/dw/scale
I0417 09:22:46.004416 4769 net.cpp:434] conv4/dw/scale <- conv4/dw
I0417 09:22:46.004449 4769 net.cpp:395] conv4/dw/scale -> conv4/dw (in-place)
I0417 09:22:46.004485 4769 layer_factory.hpp:77] Creating layer conv4/dw/scale
I0417 09:22:46.004535 4769 net.cpp:150] Setting up conv4/dw/scale
I0417 09:22:46.004570 4769 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:46.004601 4769 net.cpp:165] Memory required for data: 2334191648
I0417 09:22:46.004637 4769 layer_factory.hpp:77] Creating layer conv4/dw/relu
I0417 09:22:46.004669 4769 net.cpp:100] Creating Layer conv4/dw/relu
I0417 09:22:46.004818 4769 net.cpp:434] conv4/dw/relu <- conv4/dw
I0417 09:22:46.004854 4769 net.cpp:395] conv4/dw/relu -> conv4/dw (in-place)
I0417 09:22:46.004889 4769 net.cpp:150] Setting up conv4/dw/relu
I0417 09:22:46.004920 4769 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:46.004953 4769 net.cpp:165] Memory required for data: 2351935520
I0417 09:22:46.004984 4769 layer_factory.hpp:77] Creating layer conv4
I0417 09:22:46.005023 4769 net.cpp:100] Creating Layer conv4
I0417 09:22:46.005054 4769 net.cpp:434] conv4 <- conv4/dw
I0417 09:22:46.005087 4769 net.cpp:408] conv4 -> conv4
I0417 09:22:46.005609 4769 net.cpp:150] Setting up conv4
I0417 09:22:46.005658 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.005692 4769 net.cpp:165] Memory required for data: 2387423264
I0417 09:22:46.005728 4769 layer_factory.hpp:77] Creating layer conv4/bn
I0417 09:22:46.005828 4769 net.cpp:100] Creating Layer conv4/bn
I0417 09:22:46.005911 4769 net.cpp:434] conv4/bn <- conv4
I0417 09:22:46.005949 4769 net.cpp:395] conv4/bn -> conv4 (in-place)
I0417 09:22:46.006011 4769 net.cpp:150] Setting up conv4/bn
I0417 09:22:46.006062 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.006109 4769 net.cpp:165] Memory required for data: 2422911008
I0417 09:22:46.006157 4769 layer_factory.hpp:77] Creating layer conv4/scale
I0417 09:22:46.006235 4769 net.cpp:100] Creating Layer conv4/scale
I0417 09:22:46.012459 4769 net.cpp:434] conv4/scale <- conv4
I0417 09:22:46.019728 4769 net.cpp:395] conv4/scale -> conv4 (in-place)
I0417 09:22:46.019798 4769 layer_factory.hpp:77] Creating layer conv4/scale
I0417 09:22:46.019855 4769 net.cpp:150] Setting up conv4/scale
I0417 09:22:46.019896 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.020004 4769 net.cpp:165] Memory required for data: 2458398752
I0417 09:22:46.020056 4769 layer_factory.hpp:77] Creating layer conv4/relu
I0417 09:22:46.020108 4769 net.cpp:100] Creating Layer conv4/relu
I0417 09:22:46.020143 4769 net.cpp:434] conv4/relu <- conv4
I0417 09:22:46.020175 4769 net.cpp:395] conv4/relu -> conv4 (in-place)
I0417 09:22:46.020210 4769 net.cpp:150] Setting up conv4/relu
I0417 09:22:46.020242 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.020274 4769 net.cpp:165] Memory required for data: 2493886496
I0417 09:22:46.020306 4769 layer_factory.hpp:77] Creating layer conv5/dw
I0417 09:22:46.020349 4769 net.cpp:100] Creating Layer conv5/dw
I0417 09:22:46.020382 4769 net.cpp:434] conv5/dw <- conv4
I0417 09:22:46.020418 4769 net.cpp:408] conv5/dw -> conv5/dw
I0417 09:22:46.020601 4769 net.cpp:150] Setting up conv5/dw
I0417 09:22:46.020665 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.020707 4769 net.cpp:165] Memory required for data: 2529374240
I0417 09:22:46.020754 4769 layer_factory.hpp:77] Creating layer conv5/dw/bn
I0417 09:22:46.020794 4769 net.cpp:100] Creating Layer conv5/dw/bn
I0417 09:22:46.020829 4769 net.cpp:434] conv5/dw/bn <- conv5/dw
I0417 09:22:46.020886 4769 net.cpp:395] conv5/dw/bn -> conv5/dw (in-place)
I0417 09:22:46.020951 4769 net.cpp:150] Setting up conv5/dw/bn
I0417 09:22:46.020984 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.021095 4769 net.cpp:165] Memory required for data: 2564861984
I0417 09:22:46.022814 4769 layer_factory.hpp:77] Creating layer conv5/dw/scale
I0417 09:22:46.022876 4769 net.cpp:100] Creating Layer conv5/dw/scale
I0417 09:22:46.022909 4769 net.cpp:434] conv5/dw/scale <- conv5/dw
I0417 09:22:46.022944 4769 net.cpp:395] conv5/dw/scale -> conv5/dw (in-place)
I0417 09:22:46.022992 4769 layer_factory.hpp:77] Creating layer conv5/dw/scale
I0417 09:22:46.023051 4769 net.cpp:150] Setting up conv5/dw/scale
I0417 09:22:46.023085 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.023119 4769 net.cpp:165] Memory required for data: 2600349728
I0417 09:22:46.023152 4769 layer_factory.hpp:77] Creating layer conv5/dw/relu
I0417 09:22:46.023267 4769 net.cpp:100] Creating Layer conv5/dw/relu
I0417 09:22:46.023345 4769 net.cpp:434] conv5/dw/relu <- conv5/dw
I0417 09:22:46.023380 4769 net.cpp:395] conv5/dw/relu -> conv5/dw (in-place)
I0417 09:22:46.023416 4769 net.cpp:150] Setting up conv5/dw/relu
I0417 09:22:46.023447 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.023481 4769 net.cpp:165] Memory required for data: 2635837472
I0417 09:22:46.023512 4769 layer_factory.hpp:77] Creating layer conv5
I0417 09:22:46.023551 4769 net.cpp:100] Creating Layer conv5
I0417 09:22:46.023584 4769 net.cpp:434] conv5 <- conv5/dw
I0417 09:22:46.023617 4769 net.cpp:408] conv5 -> conv5
I0417 09:22:46.024387 4769 net.cpp:150] Setting up conv5
I0417 09:22:46.024435 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.024469 4769 net.cpp:165] Memory required for data: 2671325216
I0417 09:22:46.024502 4769 layer_factory.hpp:77] Creating layer conv5/bn
I0417 09:22:46.024539 4769 net.cpp:100] Creating Layer conv5/bn
I0417 09:22:46.024571 4769 net.cpp:434] conv5/bn <- conv5
I0417 09:22:46.024605 4769 net.cpp:395] conv5/bn -> conv5 (in-place)
I0417 09:22:46.024649 4769 net.cpp:150] Setting up conv5/bn
I0417 09:22:46.024683 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.024736 4769 net.cpp:165] Memory required for data: 2706812960
I0417 09:22:46.024770 4769 layer_factory.hpp:77] Creating layer conv5/scale
I0417 09:22:46.024850 4769 net.cpp:100] Creating Layer conv5/scale
I0417 09:22:46.024886 4769 net.cpp:434] conv5/scale <- conv5
I0417 09:22:46.024940 4769 net.cpp:395] conv5/scale -> conv5 (in-place)
I0417 09:22:46.024979 4769 layer_factory.hpp:77] Creating layer conv5/scale
I0417 09:22:46.025029 4769 net.cpp:150] Setting up conv5/scale
I0417 09:22:46.025063 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.025095 4769 net.cpp:165] Memory required for data: 2742300704
I0417 09:22:46.025135 4769 layer_factory.hpp:77] Creating layer conv5/relu
I0417 09:22:46.025169 4769 net.cpp:100] Creating Layer conv5/relu
I0417 09:22:46.025200 4769 net.cpp:434] conv5/relu <- conv5
I0417 09:22:46.025231 4769 net.cpp:395] conv5/relu -> conv5 (in-place)
I0417 09:22:46.025264 4769 net.cpp:150] Setting up conv5/relu
I0417 09:22:46.025295 4769 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:46.025327 4769 net.cpp:165] Memory required for data: 2777788448
I0417 09:22:46.025383 4769 layer_factory.hpp:77] Creating layer conv6/dw
I0417 09:22:46.025420 4769 net.cpp:100] Creating Layer conv6/dw
I0417 09:22:46.025452 4769 net.cpp:434] conv6/dw <- conv5
I0417 09:22:46.025488 4769 net.cpp:408] conv6/dw -> conv6/dw
I0417 09:22:46.025568 4769 net.cpp:150] Setting up conv6/dw
I0417 09:22:46.026532 4769 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:46.026588 4769 net.cpp:165] Memory required for data: 2786660384
I0417 09:22:46.026623 4769 layer_factory.hpp:77] Creating layer conv6/dw/bn
I0417 09:22:46.026661 4769 net.cpp:100] Creating Layer conv6/dw/bn
I0417 09:22:46.026695 4769 net.cpp:434] conv6/dw/bn <- conv6/dw
I0417 09:22:46.026729 4769 net.cpp:395] conv6/dw/bn -> conv6/dw (in-place)
I0417 09:22:46.026772 4769 net.cpp:150] Setting up conv6/dw/bn
I0417 09:22:46.026805 4769 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:46.026837 4769 net.cpp:165] Memory required for data: 2795532320
I0417 09:22:46.026871 4769 layer_factory.hpp:77] Creating layer conv6/dw/scale
I0417 09:22:46.026906 4769 net.cpp:100] Creating Layer conv6/dw/scale
I0417 09:22:46.026938 4769 net.cpp:434] conv6/dw/scale <- conv6/dw
I0417 09:22:46.026971 4769 net.cpp:395] conv6/dw/scale -> conv6/dw (in-place)
I0417 09:22:46.027072 4769 layer_factory.hpp:77] Creating layer conv6/dw/scale
I0417 09:22:46.027115 4769 net.cpp:150] Setting up conv6/dw/scale
I0417 09:22:46.027149 4769 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:46.027181 4769 net.cpp:165] Memory required for data: 2804404256
I0417 09:22:46.027215 4769 layer_factory.hpp:77] Creating layer conv6/dw/relu
I0417 09:22:46.027247 4769 net.cpp:100] Creating Layer conv6/dw/relu
I0417 09:22:46.027298 4769 net.cpp:434] conv6/dw/relu <- conv6/dw
I0417 09:22:46.027334 4769 net.cpp:395] conv6/dw/relu -> conv6/dw (in-place)
I0417 09:22:46.027369 4769 net.cpp:150] Setting up conv6/dw/relu
I0417 09:22:46.027401 4769 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:46.027433 4769 net.cpp:165] Memory required for data: 2813276192
I0417 09:22:46.027464 4769 layer_factory.hpp:77] Creating layer conv6
I0417 09:22:46.027498 4769 net.cpp:100] Creating Layer conv6
I0417 09:22:46.027554 4769 net.cpp:434] conv6 <- conv6/dw
I0417 09:22:46.027591 4769 net.cpp:408] conv6 -> conv6
I0417 09:22:46.028914 4769 net.cpp:150] Setting up conv6
I0417 09:22:46.029603 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.029657 4769 net.cpp:165] Memory required for data: 2831020064
I0417 09:22:46.029695 4769 layer_factory.hpp:77] Creating layer conv6/bn
I0417 09:22:46.029793 4769 net.cpp:100] Creating Layer conv6/bn
I0417 09:22:46.029826 4769 net.cpp:434] conv6/bn <- conv6
I0417 09:22:46.029860 4769 net.cpp:395] conv6/bn -> conv6 (in-place)
I0417 09:22:46.029907 4769 net.cpp:150] Setting up conv6/bn
I0417 09:22:46.029942 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.029974 4769 net.cpp:165] Memory required for data: 2848763936
I0417 09:22:46.030016 4769 layer_factory.hpp:77] Creating layer conv6/scale
I0417 09:22:46.030051 4769 net.cpp:100] Creating Layer conv6/scale
I0417 09:22:46.030083 4769 net.cpp:434] conv6/scale <- conv6
I0417 09:22:46.030117 4769 net.cpp:395] conv6/scale -> conv6 (in-place)
I0417 09:22:46.030158 4769 layer_factory.hpp:77] Creating layer conv6/scale
I0417 09:22:46.030203 4769 net.cpp:150] Setting up conv6/scale
I0417 09:22:46.030236 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.030334 4769 net.cpp:165] Memory required for data: 2866507808
I0417 09:22:46.030369 4769 layer_factory.hpp:77] Creating layer conv6/relu
I0417 09:22:46.030401 4769 net.cpp:100] Creating Layer conv6/relu
I0417 09:22:46.030433 4769 net.cpp:434] conv6/relu <- conv6
I0417 09:22:46.030465 4769 net.cpp:395] conv6/relu -> conv6 (in-place)
I0417 09:22:46.030498 4769 net.cpp:150] Setting up conv6/relu
I0417 09:22:46.030530 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.030562 4769 net.cpp:165] Memory required for data: 2884251680
I0417 09:22:46.030593 4769 layer_factory.hpp:77] Creating layer conv7/dw
I0417 09:22:46.030630 4769 net.cpp:100] Creating Layer conv7/dw
I0417 09:22:46.030663 4769 net.cpp:434] conv7/dw <- conv6
I0417 09:22:46.030694 4769 net.cpp:408] conv7/dw -> conv7/dw
I0417 09:22:46.030856 4769 net.cpp:150] Setting up conv7/dw
I0417 09:22:46.030901 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.030936 4769 net.cpp:165] Memory required for data: 2901995552
I0417 09:22:46.030967 4769 layer_factory.hpp:77] Creating layer conv7/dw/bn
I0417 09:22:46.031002 4769 net.cpp:100] Creating Layer conv7/dw/bn
I0417 09:22:46.031033 4769 net.cpp:434] conv7/dw/bn <- conv7/dw
I0417 09:22:46.031065 4769 net.cpp:395] conv7/dw/bn -> conv7/dw (in-place)
I0417 09:22:46.031107 4769 net.cpp:150] Setting up conv7/dw/bn
I0417 09:22:46.031141 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.031173 4769 net.cpp:165] Memory required for data: 2919739424
I0417 09:22:46.031206 4769 layer_factory.hpp:77] Creating layer conv7/dw/scale
I0417 09:22:46.031241 4769 net.cpp:100] Creating Layer conv7/dw/scale
I0417 09:22:46.031273 4769 net.cpp:434] conv7/dw/scale <- conv7/dw
I0417 09:22:46.031306 4769 net.cpp:395] conv7/dw/scale -> conv7/dw (in-place)
I0417 09:22:46.031409 4769 layer_factory.hpp:77] Creating layer conv7/dw/scale
I0417 09:22:46.031466 4769 net.cpp:150] Setting up conv7/dw/scale
I0417 09:22:46.031503 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.031536 4769 net.cpp:165] Memory required for data: 2937483296
I0417 09:22:46.031571 4769 layer_factory.hpp:77] Creating layer conv7/dw/relu
I0417 09:22:46.031605 4769 net.cpp:100] Creating Layer conv7/dw/relu
I0417 09:22:46.031656 4769 net.cpp:434] conv7/dw/relu <- conv7/dw
I0417 09:22:46.031692 4769 net.cpp:395] conv7/dw/relu -> conv7/dw (in-place)
I0417 09:22:46.031726 4769 net.cpp:150] Setting up conv7/dw/relu
I0417 09:22:46.031759 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.031790 4769 net.cpp:165] Memory required for data: 2955227168
I0417 09:22:46.031821 4769 layer_factory.hpp:77] Creating layer conv7
I0417 09:22:46.031854 4769 net.cpp:100] Creating Layer conv7
I0417 09:22:46.031910 4769 net.cpp:434] conv7 <- conv7/dw
I0417 09:22:46.031947 4769 net.cpp:408] conv7 -> conv7
I0417 09:22:46.034965 4769 net.cpp:150] Setting up conv7
I0417 09:22:46.035033 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.035070 4769 net.cpp:165] Memory required for data: 2972971040
I0417 09:22:46.035105 4769 layer_factory.hpp:77] Creating layer conv7/bn
I0417 09:22:46.035157 4769 net.cpp:100] Creating Layer conv7/bn
I0417 09:22:46.035202 4769 net.cpp:434] conv7/bn <- conv7
I0417 09:22:46.035235 4769 net.cpp:395] conv7/bn -> conv7 (in-place)
I0417 09:22:46.035282 4769 net.cpp:150] Setting up conv7/bn
I0417 09:22:46.035316 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.035348 4769 net.cpp:165] Memory required for data: 2990714912
I0417 09:22:46.035384 4769 layer_factory.hpp:77] Creating layer conv7/scale
I0417 09:22:46.035419 4769 net.cpp:100] Creating Layer conv7/scale
I0417 09:22:46.035451 4769 net.cpp:434] conv7/scale <- conv7
I0417 09:22:46.035483 4769 net.cpp:395] conv7/scale -> conv7 (in-place)
I0417 09:22:46.035522 4769 layer_factory.hpp:77] Creating layer conv7/scale
I0417 09:22:46.035564 4769 net.cpp:150] Setting up conv7/scale
I0417 09:22:46.035598 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.035630 4769 net.cpp:165] Memory required for data: 3008458784
I0417 09:22:46.035662 4769 layer_factory.hpp:77] Creating layer conv7/relu
I0417 09:22:46.035723 4769 net.cpp:100] Creating Layer conv7/relu
I0417 09:22:46.035758 4769 net.cpp:434] conv7/relu <- conv7
I0417 09:22:46.035791 4769 net.cpp:395] conv7/relu -> conv7 (in-place)
I0417 09:22:46.035825 4769 net.cpp:150] Setting up conv7/relu
I0417 09:22:46.035856 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.035889 4769 net.cpp:165] Memory required for data: 3026202656
I0417 09:22:46.035919 4769 layer_factory.hpp:77] Creating layer conv8/dw
I0417 09:22:46.035956 4769 net.cpp:100] Creating Layer conv8/dw
I0417 09:22:46.035989 4769 net.cpp:434] conv8/dw <- conv7
I0417 09:22:46.036022 4769 net.cpp:408] conv8/dw -> conv8/dw
I0417 09:22:46.036109 4769 net.cpp:150] Setting up conv8/dw
I0417 09:22:46.036144 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.036176 4769 net.cpp:165] Memory required for data: 3043946528
I0417 09:22:46.036208 4769 layer_factory.hpp:77] Creating layer conv8/dw/bn
I0417 09:22:46.036306 4769 net.cpp:100] Creating Layer conv8/dw/bn
I0417 09:22:46.036343 4769 net.cpp:434] conv8/dw/bn <- conv8/dw
I0417 09:22:46.036393 4769 net.cpp:395] conv8/dw/bn -> conv8/dw (in-place)
I0417 09:22:46.036435 4769 net.cpp:150] Setting up conv8/dw/bn
I0417 09:22:46.036468 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.036500 4769 net.cpp:165] Memory required for data: 3061690400
I0417 09:22:46.036535 4769 layer_factory.hpp:77] Creating layer conv8/dw/scale
I0417 09:22:46.036572 4769 net.cpp:100] Creating Layer conv8/dw/scale
I0417 09:22:46.036605 4769 net.cpp:434] conv8/dw/scale <- conv8/dw
I0417 09:22:46.036638 4769 net.cpp:395] conv8/dw/scale -> conv8/dw (in-place)
I0417 09:22:46.036674 4769 layer_factory.hpp:77] Creating layer conv8/dw/scale
I0417 09:22:46.036720 4769 net.cpp:150] Setting up conv8/dw/scale
I0417 09:22:46.036752 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.036811 4769 net.cpp:165] Memory required for data: 3079434272
I0417 09:22:46.036847 4769 layer_factory.hpp:77] Creating layer conv8/dw/relu
I0417 09:22:46.036880 4769 net.cpp:100] Creating Layer conv8/dw/relu
I0417 09:22:46.036939 4769 net.cpp:434] conv8/dw/relu <- conv8/dw
I0417 09:22:46.036972 4769 net.cpp:395] conv8/dw/relu -> conv8/dw (in-place)
I0417 09:22:46.037008 4769 net.cpp:150] Setting up conv8/dw/relu
I0417 09:22:46.037039 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.037071 4769 net.cpp:165] Memory required for data: 3097178144
I0417 09:22:46.037102 4769 layer_factory.hpp:77] Creating layer conv8
I0417 09:22:46.037135 4769 net.cpp:100] Creating Layer conv8
I0417 09:22:46.037168 4769 net.cpp:434] conv8 <- conv8/dw
I0417 09:22:46.037204 4769 net.cpp:408] conv8 -> conv8
I0417 09:22:46.042619 4769 net.cpp:150] Setting up conv8
I0417 09:22:46.045713 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.045737 4769 net.cpp:165] Memory required for data: 3114922016
I0417 09:22:46.045749 4769 layer_factory.hpp:77] Creating layer conv8/bn
I0417 09:22:46.045778 4769 net.cpp:100] Creating Layer conv8/bn
I0417 09:22:46.045787 4769 net.cpp:434] conv8/bn <- conv8
I0417 09:22:46.045796 4769 net.cpp:395] conv8/bn -> conv8 (in-place)
I0417 09:22:46.045823 4769 net.cpp:150] Setting up conv8/bn
I0417 09:22:46.045831 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.045838 4769 net.cpp:165] Memory required for data: 3132665888
I0417 09:22:46.045847 4769 layer_factory.hpp:77] Creating layer conv8/scale
I0417 09:22:46.045858 4769 net.cpp:100] Creating Layer conv8/scale
I0417 09:22:46.045866 4769 net.cpp:434] conv8/scale <- conv8
I0417 09:22:46.045872 4769 net.cpp:395] conv8/scale -> conv8 (in-place)
I0417 09:22:46.045889 4769 layer_factory.hpp:77] Creating layer conv8/scale
I0417 09:22:46.045908 4769 net.cpp:150] Setting up conv8/scale
I0417 09:22:46.045917 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.045923 4769 net.cpp:165] Memory required for data: 3150409760
I0417 09:22:46.045931 4769 layer_factory.hpp:77] Creating layer conv8/relu
I0417 09:22:46.045939 4769 net.cpp:100] Creating Layer conv8/relu
I0417 09:22:46.045946 4769 net.cpp:434] conv8/relu <- conv8
I0417 09:22:46.045953 4769 net.cpp:395] conv8/relu -> conv8 (in-place)
I0417 09:22:46.045961 4769 net.cpp:150] Setting up conv8/relu
I0417 09:22:46.045969 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.045975 4769 net.cpp:165] Memory required for data: 3168153632
I0417 09:22:46.045981 4769 layer_factory.hpp:77] Creating layer conv9/dw
I0417 09:22:46.045991 4769 net.cpp:100] Creating Layer conv9/dw
I0417 09:22:46.045998 4769 net.cpp:434] conv9/dw <- conv8
I0417 09:22:46.046006 4769 net.cpp:408] conv9/dw -> conv9/dw
I0417 09:22:46.051164 4769 net.cpp:150] Setting up conv9/dw
I0417 09:22:46.051273 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.051329 4769 net.cpp:165] Memory required for data: 3185897504
I0417 09:22:46.051414 4769 layer_factory.hpp:77] Creating layer conv9/dw/bn
I0417 09:22:46.051507 4769 net.cpp:100] Creating Layer conv9/dw/bn
I0417 09:22:46.051574 4769 net.cpp:434] conv9/dw/bn <- conv9/dw
I0417 09:22:46.058645 4769 net.cpp:395] conv9/dw/bn -> conv9/dw (in-place)
I0417 09:22:46.058950 4769 net.cpp:150] Setting up conv9/dw/bn
I0417 09:22:46.059010 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.059065 4769 net.cpp:165] Memory required for data: 3203641376
I0417 09:22:46.059291 4769 layer_factory.hpp:77] Creating layer conv9/dw/scale
I0417 09:22:46.059386 4769 net.cpp:100] Creating Layer conv9/dw/scale
I0417 09:22:46.059433 4769 net.cpp:434] conv9/dw/scale <- conv9/dw
I0417 09:22:46.059484 4769 net.cpp:395] conv9/dw/scale -> conv9/dw (in-place)
I0417 09:22:46.059576 4769 layer_factory.hpp:77] Creating layer conv9/dw/scale
I0417 09:22:46.059752 4769 net.cpp:150] Setting up conv9/dw/scale
I0417 09:22:46.059862 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.059908 4769 net.cpp:165] Memory required for data: 3221385248
I0417 09:22:46.059955 4769 layer_factory.hpp:77] Creating layer conv9/dw/relu
I0417 09:22:46.060005 4769 net.cpp:100] Creating Layer conv9/dw/relu
I0417 09:22:46.060120 4769 net.cpp:434] conv9/dw/relu <- conv9/dw
I0417 09:22:46.060161 4769 net.cpp:395] conv9/dw/relu -> conv9/dw (in-place)
I0417 09:22:46.060290 4769 net.cpp:150] Setting up conv9/dw/relu
I0417 09:22:46.060338 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.060385 4769 net.cpp:165] Memory required for data: 3239129120
I0417 09:22:46.060456 4769 layer_factory.hpp:77] Creating layer conv9
I0417 09:22:46.060554 4769 net.cpp:100] Creating Layer conv9
I0417 09:22:46.060609 4769 net.cpp:434] conv9 <- conv9/dw
I0417 09:22:46.060647 4769 net.cpp:408] conv9 -> conv9
I0417 09:22:46.063495 4769 net.cpp:150] Setting up conv9
I0417 09:22:46.067126 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.067178 4769 net.cpp:165] Memory required for data: 3256872992
I0417 09:22:46.067224 4769 layer_factory.hpp:77] Creating layer conv9/bn
I0417 09:22:46.067317 4769 net.cpp:100] Creating Layer conv9/bn
I0417 09:22:46.067356 4769 net.cpp:434] conv9/bn <- conv9
I0417 09:22:46.067399 4769 net.cpp:395] conv9/bn -> conv9 (in-place)
I0417 09:22:46.067468 4769 net.cpp:150] Setting up conv9/bn
I0417 09:22:46.067503 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.067577 4769 net.cpp:165] Memory required for data: 3274616864
I0417 09:22:46.067611 4769 layer_factory.hpp:77] Creating layer conv9/scale
I0417 09:22:46.067646 4769 net.cpp:100] Creating Layer conv9/scale
I0417 09:22:46.067678 4769 net.cpp:434] conv9/scale <- conv9
I0417 09:22:46.067713 4769 net.cpp:395] conv9/scale -> conv9 (in-place)
I0417 09:22:46.067755 4769 layer_factory.hpp:77] Creating layer conv9/scale
I0417 09:22:46.067878 4769 net.cpp:150] Setting up conv9/scale
I0417 09:22:46.067932 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.067967 4769 net.cpp:165] Memory required for data: 3292360736
I0417 09:22:46.068002 4769 layer_factory.hpp:77] Creating layer conv9/relu
I0417 09:22:46.068051 4769 net.cpp:100] Creating Layer conv9/relu
I0417 09:22:46.068107 4769 net.cpp:434] conv9/relu <- conv9
I0417 09:22:46.068159 4769 net.cpp:395] conv9/relu -> conv9 (in-place)
I0417 09:22:46.068202 4769 net.cpp:150] Setting up conv9/relu
I0417 09:22:46.068235 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.068336 4769 net.cpp:165] Memory required for data: 3310104608
I0417 09:22:46.069850 4769 layer_factory.hpp:77] Creating layer conv10/dw
I0417 09:22:46.069941 4769 net.cpp:100] Creating Layer conv10/dw
I0417 09:22:46.070200 4769 net.cpp:434] conv10/dw <- conv9
I0417 09:22:46.070343 4769 net.cpp:408] conv10/dw -> conv10/dw
I0417 09:22:46.071028 4769 net.cpp:150] Setting up conv10/dw
I0417 09:22:46.071346 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.071430 4769 net.cpp:165] Memory required for data: 3327848480
I0417 09:22:46.071496 4769 layer_factory.hpp:77] Creating layer conv10/dw/bn
I0417 09:22:46.071673 4769 net.cpp:100] Creating Layer conv10/dw/bn
I0417 09:22:46.071884 4769 net.cpp:434] conv10/dw/bn <- conv10/dw
I0417 09:22:46.072100 4769 net.cpp:395] conv10/dw/bn -> conv10/dw (in-place)
I0417 09:22:46.072604 4769 net.cpp:150] Setting up conv10/dw/bn
I0417 09:22:46.074945 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.075001 4769 net.cpp:165] Memory required for data: 3345592352
I0417 09:22:46.075049 4769 layer_factory.hpp:77] Creating layer conv10/dw/scale
I0417 09:22:46.075096 4769 net.cpp:100] Creating Layer conv10/dw/scale
I0417 09:22:46.075139 4769 net.cpp:434] conv10/dw/scale <- conv10/dw
I0417 09:22:46.075181 4769 net.cpp:395] conv10/dw/scale -> conv10/dw (in-place)
I0417 09:22:46.075240 4769 layer_factory.hpp:77] Creating layer conv10/dw/scale
I0417 09:22:46.075299 4769 net.cpp:150] Setting up conv10/dw/scale
I0417 09:22:46.075341 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.075382 4769 net.cpp:165] Memory required for data: 3363336224
I0417 09:22:46.075486 4769 layer_factory.hpp:77] Creating layer conv10/dw/relu
I0417 09:22:46.075533 4769 net.cpp:100] Creating Layer conv10/dw/relu
I0417 09:22:46.075614 4769 net.cpp:434] conv10/dw/relu <- conv10/dw
I0417 09:22:46.075673 4769 net.cpp:395] conv10/dw/relu -> conv10/dw (in-place)
I0417 09:22:46.077895 4769 net.cpp:150] Setting up conv10/dw/relu
I0417 09:22:46.077909 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.077924 4769 net.cpp:165] Memory required for data: 3381080096
I0417 09:22:46.077934 4769 layer_factory.hpp:77] Creating layer conv10
I0417 09:22:46.077953 4769 net.cpp:100] Creating Layer conv10
I0417 09:22:46.077961 4769 net.cpp:434] conv10 <- conv10/dw
I0417 09:22:46.077970 4769 net.cpp:408] conv10 -> conv10
I0417 09:22:46.086390 4769 net.cpp:150] Setting up conv10
I0417 09:22:46.094592 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.094641 4769 net.cpp:165] Memory required for data: 3398823968
I0417 09:22:46.094677 4769 layer_factory.hpp:77] Creating layer conv10/bn
I0417 09:22:46.094725 4769 net.cpp:100] Creating Layer conv10/bn
I0417 09:22:46.094760 4769 net.cpp:434] conv10/bn <- conv10
I0417 09:22:46.094794 4769 net.cpp:395] conv10/bn -> conv10 (in-place)
I0417 09:22:46.094846 4769 net.cpp:150] Setting up conv10/bn
I0417 09:22:46.094879 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.094911 4769 net.cpp:165] Memory required for data: 3416567840
I0417 09:22:46.094945 4769 layer_factory.hpp:77] Creating layer conv10/scale
I0417 09:22:46.094981 4769 net.cpp:100] Creating Layer conv10/scale
I0417 09:22:46.095156 4769 net.cpp:434] conv10/scale <- conv10
I0417 09:22:46.095211 4769 net.cpp:395] conv10/scale -> conv10 (in-place)
I0417 09:22:46.095275 4769 layer_factory.hpp:77] Creating layer conv10/scale
I0417 09:22:46.095360 4769 net.cpp:150] Setting up conv10/scale
I0417 09:22:46.095396 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.095432 4769 net.cpp:165] Memory required for data: 3434311712
I0417 09:22:46.095466 4769 layer_factory.hpp:77] Creating layer conv10/relu
I0417 09:22:46.095500 4769 net.cpp:100] Creating Layer conv10/relu
I0417 09:22:46.095561 4769 net.cpp:434] conv10/relu <- conv10
I0417 09:22:46.095598 4769 net.cpp:395] conv10/relu -> conv10 (in-place)
I0417 09:22:46.095635 4769 net.cpp:150] Setting up conv10/relu
I0417 09:22:46.095733 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.095777 4769 net.cpp:165] Memory required for data: 3452055584
I0417 09:22:46.095824 4769 layer_factory.hpp:77] Creating layer conv11/dw
I0417 09:22:46.095861 4769 net.cpp:100] Creating Layer conv11/dw
I0417 09:22:46.095894 4769 net.cpp:434] conv11/dw <- conv10
I0417 09:22:46.095927 4769 net.cpp:408] conv11/dw -> conv11/dw
I0417 09:22:46.096038 4769 net.cpp:150] Setting up conv11/dw
I0417 09:22:46.096094 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.096169 4769 net.cpp:165] Memory required for data: 3469799456
I0417 09:22:46.096220 4769 layer_factory.hpp:77] Creating layer conv11/dw/bn
I0417 09:22:46.096257 4769 net.cpp:100] Creating Layer conv11/dw/bn
I0417 09:22:46.096290 4769 net.cpp:434] conv11/dw/bn <- conv11/dw
I0417 09:22:46.096325 4769 net.cpp:395] conv11/dw/bn -> conv11/dw (in-place)
I0417 09:22:46.096369 4769 net.cpp:150] Setting up conv11/dw/bn
I0417 09:22:46.096401 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.096433 4769 net.cpp:165] Memory required for data: 3487543328
I0417 09:22:46.096477 4769 layer_factory.hpp:77] Creating layer conv11/dw/scale
I0417 09:22:46.096511 4769 net.cpp:100] Creating Layer conv11/dw/scale
I0417 09:22:46.096544 4769 net.cpp:434] conv11/dw/scale <- conv11/dw
I0417 09:22:46.096575 4769 net.cpp:395] conv11/dw/scale -> conv11/dw (in-place)
I0417 09:22:46.096613 4769 layer_factory.hpp:77] Creating layer conv11/dw/scale
I0417 09:22:46.096722 4769 net.cpp:150] Setting up conv11/dw/scale
I0417 09:22:46.096758 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.096791 4769 net.cpp:165] Memory required for data: 3505287200
I0417 09:22:46.096827 4769 layer_factory.hpp:77] Creating layer conv11/dw/relu
I0417 09:22:46.096892 4769 net.cpp:100] Creating Layer conv11/dw/relu
I0417 09:22:46.096925 4769 net.cpp:434] conv11/dw/relu <- conv11/dw
I0417 09:22:46.096957 4769 net.cpp:395] conv11/dw/relu -> conv11/dw (in-place)
I0417 09:22:46.096990 4769 net.cpp:150] Setting up conv11/dw/relu
I0417 09:22:46.097021 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.097054 4769 net.cpp:165] Memory required for data: 3523031072
I0417 09:22:46.097084 4769 layer_factory.hpp:77] Creating layer conv11
I0417 09:22:46.097121 4769 net.cpp:100] Creating Layer conv11
I0417 09:22:46.097152 4769 net.cpp:434] conv11 <- conv11/dw
I0417 09:22:46.097247 4769 net.cpp:408] conv11 -> conv11
I0417 09:22:46.103744 4769 net.cpp:150] Setting up conv11
I0417 09:22:46.103930 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.103971 4769 net.cpp:165] Memory required for data: 3540774944
I0417 09:22:46.104027 4769 layer_factory.hpp:77] Creating layer conv11/bn
I0417 09:22:46.104065 4769 net.cpp:100] Creating Layer conv11/bn
I0417 09:22:46.104099 4769 net.cpp:434] conv11/bn <- conv11
I0417 09:22:46.104132 4769 net.cpp:395] conv11/bn -> conv11 (in-place)
I0417 09:22:46.104187 4769 net.cpp:150] Setting up conv11/bn
I0417 09:22:46.104223 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.104283 4769 net.cpp:165] Memory required for data: 3558518816
I0417 09:22:46.104317 4769 layer_factory.hpp:77] Creating layer conv11/scale
I0417 09:22:46.104357 4769 net.cpp:100] Creating Layer conv11/scale
I0417 09:22:46.104389 4769 net.cpp:434] conv11/scale <- conv11
I0417 09:22:46.104423 4769 net.cpp:395] conv11/scale -> conv11 (in-place)
I0417 09:22:46.104463 4769 layer_factory.hpp:77] Creating layer conv11/scale
I0417 09:22:46.104508 4769 net.cpp:150] Setting up conv11/scale
I0417 09:22:46.104542 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.104573 4769 net.cpp:165] Memory required for data: 3576262688
I0417 09:22:46.104606 4769 layer_factory.hpp:77] Creating layer conv11/relu
I0417 09:22:46.104640 4769 net.cpp:100] Creating Layer conv11/relu
I0417 09:22:46.104672 4769 net.cpp:434] conv11/relu <- conv11
I0417 09:22:46.104704 4769 net.cpp:395] conv11/relu -> conv11 (in-place)
I0417 09:22:46.104737 4769 net.cpp:150] Setting up conv11/relu
I0417 09:22:46.105443 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.105522 4769 net.cpp:165] Memory required for data: 3594006560
I0417 09:22:46.105612 4769 layer_factory.hpp:77] Creating layer conv11_conv11/relu_0_split
I0417 09:22:46.105679 4769 net.cpp:100] Creating Layer conv11_conv11/relu_0_split
I0417 09:22:46.105715 4769 net.cpp:434] conv11_conv11/relu_0_split <- conv11
I0417 09:22:46.105751 4769 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_0
I0417 09:22:46.105792 4769 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_1
I0417 09:22:46.105828 4769 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_2
I0417 09:22:46.105929 4769 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_3
I0417 09:22:46.105994 4769 net.cpp:150] Setting up conv11_conv11/relu_0_split
I0417 09:22:46.106026 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.106060 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.106091 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.106122 4769 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:46.106154 4769 net.cpp:165] Memory required for data: 3664982048
I0417 09:22:46.106185 4769 layer_factory.hpp:77] Creating layer conv12/dw
I0417 09:22:46.106222 4769 net.cpp:100] Creating Layer conv12/dw
I0417 09:22:46.106256 4769 net.cpp:434] conv12/dw <- conv11_conv11/relu_0_split_0
I0417 09:22:46.106292 4769 net.cpp:408] conv12/dw -> conv12/dw
I0417 09:22:46.106381 4769 net.cpp:150] Setting up conv12/dw
I0417 09:22:46.106580 4769 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:46.106640 4769 net.cpp:165] Memory required for data: 3669897248
I0417 09:22:46.106736 4769 layer_factory.hpp:77] Creating layer conv12/dw/bn
I0417 09:22:46.106832 4769 net.cpp:100] Creating Layer conv12/dw/bn
I0417 09:22:46.106875 4769 net.cpp:434] conv12/dw/bn <- conv12/dw
I0417 09:22:46.106920 4769 net.cpp:395] conv12/dw/bn -> conv12/dw (in-place)
I0417 09:22:46.111974 4769 net.cpp:150] Setting up conv12/dw/bn
I0417 09:22:46.111994 4769 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:46.112006 4769 net.cpp:165] Memory required for data: 3674812448
I0417 09:22:46.112018 4769 layer_factory.hpp:77] Creating layer conv12/dw/scale
I0417 09:22:46.112068 4769 net.cpp:100] Creating Layer conv12/dw/scale
I0417 09:22:46.112083 4769 net.cpp:434] conv12/dw/scale <- conv12/dw
I0417 09:22:46.112092 4769 net.cpp:395] conv12/dw/scale -> conv12/dw (in-place)
I0417 09:22:46.112109 4769 layer_factory.hpp:77] Creating layer conv12/dw/scale
I0417 09:22:46.112130 4769 net.cpp:150] Setting up conv12/dw/scale
I0417 09:22:46.112138 4769 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:46.112146 4769 net.cpp:165] Memory required for data: 3679727648
I0417 09:22:46.112154 4769 layer_factory.hpp:77] Creating layer conv12/dw/relu
I0417 09:22:46.112164 4769 net.cpp:100] Creating Layer conv12/dw/relu
I0417 09:22:46.112170 4769 net.cpp:434] conv12/dw/relu <- conv12/dw
I0417 09:22:46.112177 4769 net.cpp:395] conv12/dw/relu -> conv12/dw (in-place)
I0417 09:22:46.112186 4769 net.cpp:150] Setting up conv12/dw/relu
I0417 09:22:46.112193 4769 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:46.112201 4769 net.cpp:165] Memory required for data: 3684642848
I0417 09:22:46.112207 4769 layer_factory.hpp:77] Creating layer conv12
I0417 09:22:46.112219 4769 net.cpp:100] Creating Layer conv12
I0417 09:22:46.112227 4769 net.cpp:434] conv12 <- conv12/dw
I0417 09:22:46.112236 4769 net.cpp:408] conv12 -> conv12
I0417 09:22:46.131875 4769 net.cpp:150] Setting up conv12
I0417 09:22:46.132017 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.132079 4769 net.cpp:165] Memory required for data: 3694473248
I0417 09:22:46.132115 4769 layer_factory.hpp:77] Creating layer conv12/bn
I0417 09:22:46.132151 4769 net.cpp:100] Creating Layer conv12/bn
I0417 09:22:46.132185 4769 net.cpp:434] conv12/bn <- conv12
I0417 09:22:46.132218 4769 net.cpp:395] conv12/bn -> conv12 (in-place)
I0417 09:22:46.132272 4769 net.cpp:150] Setting up conv12/bn
I0417 09:22:46.132306 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.132339 4769 net.cpp:165] Memory required for data: 3704303648
I0417 09:22:46.132375 4769 layer_factory.hpp:77] Creating layer conv12/scale
I0417 09:22:46.132412 4769 net.cpp:100] Creating Layer conv12/scale
I0417 09:22:46.132444 4769 net.cpp:434] conv12/scale <- conv12
I0417 09:22:46.132477 4769 net.cpp:395] conv12/scale -> conv12 (in-place)
I0417 09:22:46.132561 4769 layer_factory.hpp:77] Creating layer conv12/scale
I0417 09:22:46.132637 4769 net.cpp:150] Setting up conv12/scale
I0417 09:22:46.132670 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.132704 4769 net.cpp:165] Memory required for data: 3714134048
I0417 09:22:46.132736 4769 layer_factory.hpp:77] Creating layer conv12/relu
I0417 09:22:46.132768 4769 net.cpp:100] Creating Layer conv12/relu
I0417 09:22:46.132800 4769 net.cpp:434] conv12/relu <- conv12
I0417 09:22:46.132833 4769 net.cpp:395] conv12/relu -> conv12 (in-place)
I0417 09:22:46.132865 4769 net.cpp:150] Setting up conv12/relu
I0417 09:22:46.132896 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.132927 4769 net.cpp:165] Memory required for data: 3723964448
I0417 09:22:46.132958 4769 layer_factory.hpp:77] Creating layer conv13/dw
I0417 09:22:46.132992 4769 net.cpp:100] Creating Layer conv13/dw
I0417 09:22:46.133023 4769 net.cpp:434] conv13/dw <- conv12
I0417 09:22:46.133988 4769 net.cpp:408] conv13/dw -> conv13/dw
I0417 09:22:46.134212 4769 net.cpp:150] Setting up conv13/dw
I0417 09:22:46.134281 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.134372 4769 net.cpp:165] Memory required for data: 3733794848
I0417 09:22:46.134413 4769 layer_factory.hpp:77] Creating layer conv13/dw/bn
I0417 09:22:46.134465 4769 net.cpp:100] Creating Layer conv13/dw/bn
I0417 09:22:46.134498 4769 net.cpp:434] conv13/dw/bn <- conv13/dw
I0417 09:22:46.134531 4769 net.cpp:395] conv13/dw/bn -> conv13/dw (in-place)
I0417 09:22:46.134580 4769 net.cpp:150] Setting up conv13/dw/bn
I0417 09:22:46.134613 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.134646 4769 net.cpp:165] Memory required for data: 3743625248
I0417 09:22:46.134682 4769 layer_factory.hpp:77] Creating layer conv13/dw/scale
I0417 09:22:46.136736 4769 net.cpp:100] Creating Layer conv13/dw/scale
I0417 09:22:46.136788 4769 net.cpp:434] conv13/dw/scale <- conv13/dw
I0417 09:22:46.136837 4769 net.cpp:395] conv13/dw/scale -> conv13/dw (in-place)
I0417 09:22:46.136976 4769 layer_factory.hpp:77] Creating layer conv13/dw/scale
I0417 09:22:46.137120 4769 net.cpp:150] Setting up conv13/dw/scale
I0417 09:22:46.137156 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.137190 4769 net.cpp:165] Memory required for data: 3753455648
I0417 09:22:46.137225 4769 layer_factory.hpp:77] Creating layer conv13/dw/relu
I0417 09:22:46.137259 4769 net.cpp:100] Creating Layer conv13/dw/relu
I0417 09:22:46.137290 4769 net.cpp:434] conv13/dw/relu <- conv13/dw
I0417 09:22:46.137323 4769 net.cpp:395] conv13/dw/relu -> conv13/dw (in-place)
I0417 09:22:46.137357 4769 net.cpp:150] Setting up conv13/dw/relu
I0417 09:22:46.137389 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.137506 4769 net.cpp:165] Memory required for data: 3763286048
I0417 09:22:46.137542 4769 layer_factory.hpp:77] Creating layer conv13
I0417 09:22:46.137588 4769 net.cpp:100] Creating Layer conv13
I0417 09:22:46.137636 4769 net.cpp:434] conv13 <- conv13/dw
I0417 09:22:46.137672 4769 net.cpp:408] conv13 -> conv13
I0417 09:22:46.172816 4769 net.cpp:150] Setting up conv13
I0417 09:22:46.180213 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.180441 4769 net.cpp:165] Memory required for data: 3773116448
I0417 09:22:46.180531 4769 layer_factory.hpp:77] Creating layer conv13/bn
I0417 09:22:46.180588 4769 net.cpp:100] Creating Layer conv13/bn
I0417 09:22:46.180636 4769 net.cpp:434] conv13/bn <- conv13
I0417 09:22:46.180686 4769 net.cpp:395] conv13/bn -> conv13 (in-place)
I0417 09:22:46.180773 4769 net.cpp:150] Setting up conv13/bn
I0417 09:22:46.180871 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.180959 4769 net.cpp:165] Memory required for data: 3782946848
I0417 09:22:46.181059 4769 layer_factory.hpp:77] Creating layer conv13/scale
I0417 09:22:46.181119 4769 net.cpp:100] Creating Layer conv13/scale
I0417 09:22:46.181162 4769 net.cpp:434] conv13/scale <- conv13
I0417 09:22:46.181197 4769 net.cpp:395] conv13/scale -> conv13 (in-place)
I0417 09:22:46.181247 4769 layer_factory.hpp:77] Creating layer conv13/scale
I0417 09:22:46.181298 4769 net.cpp:150] Setting up conv13/scale
I0417 09:22:46.181334 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.181368 4769 net.cpp:165] Memory required for data: 3792777248
I0417 09:22:46.181403 4769 layer_factory.hpp:77] Creating layer conv13/relu
I0417 09:22:46.181442 4769 net.cpp:100] Creating Layer conv13/relu
I0417 09:22:46.181512 4769 net.cpp:434] conv13/relu <- conv13
I0417 09:22:46.181555 4769 net.cpp:395] conv13/relu -> conv13 (in-place)
I0417 09:22:46.181593 4769 net.cpp:150] Setting up conv13/relu
I0417 09:22:46.181627 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.181663 4769 net.cpp:165] Memory required for data: 3802607648
I0417 09:22:46.181696 4769 layer_factory.hpp:77] Creating layer conv13_conv13/relu_0_split
I0417 09:22:46.181738 4769 net.cpp:100] Creating Layer conv13_conv13/relu_0_split
I0417 09:22:46.181773 4769 net.cpp:434] conv13_conv13/relu_0_split <- conv13
I0417 09:22:46.181809 4769 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_0
I0417 09:22:46.181902 4769 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_1
I0417 09:22:46.181977 4769 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_2
I0417 09:22:46.182170 4769 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_3
I0417 09:22:46.182399 4769 net.cpp:150] Setting up conv13_conv13/relu_0_split
I0417 09:22:46.182472 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.182736 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.182972 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.183045 4769 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:46.183406 4769 net.cpp:165] Memory required for data: 3841929248
I0417 09:22:46.183580 4769 layer_factory.hpp:77] Creating layer conv14_1
I0417 09:22:46.185531 4769 net.cpp:100] Creating Layer conv14_1
I0417 09:22:46.185636 4769 net.cpp:434] conv14_1 <- conv13_conv13/relu_0_split_0
I0417 09:22:46.185679 4769 net.cpp:408] conv14_1 -> conv14_1
I0417 09:22:46.190384 4769 net.cpp:150] Setting up conv14_1
I0417 09:22:46.194613 4769 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:46.194660 4769 net.cpp:165] Memory required for data: 3844386848
I0417 09:22:46.194697 4769 layer_factory.hpp:77] Creating layer conv14_1/bn
I0417 09:22:46.194736 4769 net.cpp:100] Creating Layer conv14_1/bn
I0417 09:22:46.194768 4769 net.cpp:434] conv14_1/bn <- conv14_1
I0417 09:22:46.194802 4769 net.cpp:395] conv14_1/bn -> conv14_1 (in-place)
I0417 09:22:46.194859 4769 net.cpp:150] Setting up conv14_1/bn
I0417 09:22:46.194892 4769 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:46.194924 4769 net.cpp:165] Memory required for data: 3846844448
I0417 09:22:46.194960 4769 layer_factory.hpp:77] Creating layer conv14_1/scale
I0417 09:22:46.194996 4769 net.cpp:100] Creating Layer conv14_1/scale
I0417 09:22:46.195029 4769 net.cpp:434] conv14_1/scale <- conv14_1
I0417 09:22:46.195060 4769 net.cpp:395] conv14_1/scale -> conv14_1 (in-place)
I0417 09:22:46.195184 4769 layer_factory.hpp:77] Creating layer conv14_1/scale
I0417 09:22:46.195231 4769 net.cpp:150] Setting up conv14_1/scale
I0417 09:22:46.195264 4769 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:46.195297 4769 net.cpp:165] Memory required for data: 3849302048
I0417 09:22:46.195330 4769 layer_factory.hpp:77] Creating layer conv14_1/relu
I0417 09:22:46.195363 4769 net.cpp:100] Creating Layer conv14_1/relu
I0417 09:22:46.195394 4769 net.cpp:434] conv14_1/relu <- conv14_1
I0417 09:22:46.195425 4769 net.cpp:395] conv14_1/relu -> conv14_1 (in-place)
I0417 09:22:46.195459 4769 net.cpp:150] Setting up conv14_1/relu
I0417 09:22:46.195490 4769 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:46.195521 4769 net.cpp:165] Memory required for data: 3851759648
I0417 09:22:46.195552 4769 layer_factory.hpp:77] Creating layer conv14_2
I0417 09:22:46.195588 4769 net.cpp:100] Creating Layer conv14_2
I0417 09:22:46.195642 4769 net.cpp:434] conv14_2 <- conv14_1
I0417 09:22:46.195680 4769 net.cpp:408] conv14_2 -> conv14_2
F0417 09:22:46.208866 4772 math_functions.cpp:250] Check failed: a <= b (0 vs. -1.19209e-07)
I0417 09:22:46.243436 4769 net.cpp:150] Setting up conv14_2
I0417 09:22:46.244024 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.244061 4769 net.cpp:165] Memory required for data: 3852988448
I0417 09:22:46.244159 4769 layer_factory.hpp:77] Creating layer conv14_2/bn
I0417 09:22:46.244199 4769 net.cpp:100] Creating Layer conv14_2/bn
I0417 09:22:46.244256 4769 net.cpp:434] conv14_2/bn <- conv14_2
I0417 09:22:46.244307 4769 net.cpp:395] conv14_2/bn -> conv14_2 (in-place)
I0417 09:22:46.244374 4769 net.cpp:150] Setting up conv14_2/bn
I0417 09:22:46.244424 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.244457 4769 net.cpp:165] Memory required for data: 3854217248
I0417 09:22:46.244491 4769 layer_factory.hpp:77] Creating layer conv14_2/scale
I0417 09:22:46.244526 4769 net.cpp:100] Creating Layer conv14_2/scale
I0417 09:22:46.244557 4769 net.cpp:434] conv14_2/scale <- conv14_2
I0417 09:22:46.244590 4769 net.cpp:395] conv14_2/scale -> conv14_2 (in-place)
I0417 09:22:46.244694 4769 layer_factory.hpp:77] Creating layer conv14_2/scale
I0417 09:22:46.244745 4769 net.cpp:150] Setting up conv14_2/scale
I0417 09:22:46.244779 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.244812 4769 net.cpp:165] Memory required for data: 3855446048
I0417 09:22:46.244846 4769 layer_factory.hpp:77] Creating layer conv14_2/relu
I0417 09:22:46.244880 4769 net.cpp:100] Creating Layer conv14_2/relu
I0417 09:22:46.244912 4769 net.cpp:434] conv14_2/relu <- conv14_2
I0417 09:22:46.244943 4769 net.cpp:395] conv14_2/relu -> conv14_2 (in-place)
I0417 09:22:46.244976 4769 net.cpp:150] Setting up conv14_2/relu
I0417 09:22:46.245007 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.245039 4769 net.cpp:165] Memory required for data: 3856674848
I0417 09:22:46.245069 4769 layer_factory.hpp:77] Creating layer conv14_2_conv14_2/relu_0_split
I0417 09:22:46.245105 4769 net.cpp:100] Creating Layer conv14_2_conv14_2/relu_0_split
I0417 09:22:46.245136 4769 net.cpp:434] conv14_2_conv14_2/relu_0_split <- conv14_2
I0417 09:22:46.245251 4769 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_0
I0417 09:22:46.245292 4769 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_1
I0417 09:22:46.245327 4769 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_2
I0417 09:22:46.245362 4769 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_3
I0417 09:22:46.245398 4769 net.cpp:150] Setting up conv14_2_conv14_2/relu_0_split
I0417 09:22:46.245429 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.245461 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.245493 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.245524 4769 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:46.245555 4769 net.cpp:165] Memory required for data: 3861590048
I0417 09:22:46.245586 4769 layer_factory.hpp:77] Creating layer conv15_1
I0417 09:22:46.245625 4769 net.cpp:100] Creating Layer conv15_1
I0417 09:22:46.245657 4769 net.cpp:434] conv15_1 <- conv14_2_conv14_2/relu_0_split_0
I0417 09:22:46.245690 4769 net.cpp:408] conv15_1 -> conv15_1
I0417 09:22:46.246457 4769 net.cpp:150] Setting up conv15_1
I0417 09:22:46.246505 4769 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:46.246538 4769 net.cpp:165] Memory required for data: 3861897248
I0417 09:22:46.246572 4769 layer_factory.hpp:77] Creating layer conv15_1/bn
I0417 09:22:46.246604 4769 net.cpp:100] Creating Layer conv15_1/bn
I0417 09:22:46.246635 4769 net.cpp:434] conv15_1/bn <- conv15_1
I0417 09:22:46.246668 4769 net.cpp:395] conv15_1/bn -> conv15_1 (in-place)
I0417 09:22:46.246709 4769 net.cpp:150] Setting up conv15_1/bn
I0417 09:22:46.246742 4769 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:46.246774 4769 net.cpp:165] Memory required for data: 3862204448
I0417 09:22:46.246888 4769 layer_factory.hpp:77] Creating layer conv15_1/scale
I0417 09:22:46.246948 4769 net.cpp:100] Creating Layer conv15_1/scale
I0417 09:22:46.247007 4769 net.cpp:434] conv15_1/scale <- conv15_1
I0417 09:22:46.247040 4769 net.cpp:395] conv15_1/scale -> conv15_1 (in-place)
I0417 09:22:46.247078 4769 layer_factory.hpp:77] Creating layer conv15_1/scale
I0417 09:22:46.247119 4769 net.cpp:150] Setting up conv15_1/scale
I0417 09:22:46.247153 4769 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:46.247184 4769 net.cpp:165] Memory required for data: 3862511648
I0417 09:22:46.247216 4769 layer_factory.hpp:77] Creating layer conv15_1/relu
I0417 09:22:46.247249 4769 net.cpp:100] Creating Layer conv15_1/relu
I0417 09:22:46.247280 4769 net.cpp:434] conv15_1/relu <- conv15_1
I0417 09:22:46.247311 4769 net.cpp:395] conv15_1/relu -> conv15_1 (in-place)
I0417 09:22:46.247387 4769 net.cpp:150] Setting up conv15_1/relu
I0417 09:22:46.247442 4769 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:46.247473 4769 net.cpp:165] Memory required for data: 3862818848
I0417 09:22:46.247503 4769 layer_factory.hpp:77] Creating layer conv15_2
I0417 09:22:46.247536 4769 net.cpp:100] Creating Layer conv15_2
I0417 09:22:46.247568 4769 net.cpp:434] conv15_2 <- conv15_1
I0417 09:22:46.247601 4769 net.cpp:408] conv15_2 -> conv15_2
*** Check failure stack trace: ***
I0417 09:22:46.258560 4769 net.cpp:150] Setting up conv15_2
I0417 09:22:46.258674 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.258713 4769 net.cpp:165] Memory required for data: 3863040032
I0417 09:22:46.258807 4769 layer_factory.hpp:77] Creating layer conv15_2/bn
I0417 09:22:46.258862 4769 net.cpp:100] Creating Layer conv15_2/bn
I0417 09:22:46.258896 4769 net.cpp:434] conv15_2/bn <- conv15_2
I0417 09:22:46.258932 4769 net.cpp:395] conv15_2/bn -> conv15_2 (in-place)
I0417 09:22:46.259017 4769 net.cpp:150] Setting up conv15_2/bn
I0417 09:22:46.259083 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.259142 4769 net.cpp:165] Memory required for data: 3863261216
I0417 09:22:46.259261 4769 layer_factory.hpp:77] Creating layer conv15_2/scale
I0417 09:22:46.259644 4769 net.cpp:100] Creating Layer conv15_2/scale
I0417 09:22:46.259752 4769 net.cpp:434] conv15_2/scale <- conv15_2
I0417 09:22:46.259903 4769 net.cpp:395] conv15_2/scale -> conv15_2 (in-place)
I0417 09:22:46.260251 4769 layer_factory.hpp:77] Creating layer conv15_2/scale
I0417 09:22:46.262322 4769 net.cpp:150] Setting up conv15_2/scale
I0417 09:22:46.262369 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.262406 4769 net.cpp:165] Memory required for data: 3863482400
I0417 09:22:46.262442 4769 layer_factory.hpp:77] Creating layer conv15_2/relu
I0417 09:22:46.262483 4769 net.cpp:100] Creating Layer conv15_2/relu
I0417 09:22:46.262518 4769 net.cpp:434] conv15_2/relu <- conv15_2
I0417 09:22:46.262662 4769 net.cpp:395] conv15_2/relu -> conv15_2 (in-place)
I0417 09:22:46.262709 4769 net.cpp:150] Setting up conv15_2/relu
I0417 09:22:46.262742 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.262774 4769 net.cpp:165] Memory required for data: 3863703584
I0417 09:22:46.262806 4769 layer_factory.hpp:77] Creating layer conv15_2_conv15_2/relu_0_split
I0417 09:22:46.262840 4769 net.cpp:100] Creating Layer conv15_2_conv15_2/relu_0_split
I0417 09:22:46.262871 4769 net.cpp:434] conv15_2_conv15_2/relu_0_split <- conv15_2
I0417 09:22:46.262903 4769 net.cpp:408] conv15_2_conv15_2/relu_0_split -> conv15_2_conv15_2/relu_0_split_0
I0417 09:22:46.262939 4769 net.cpp:408] conv15_2_conv15_2/relu_0_split -> conv15_2_conv15_2/relu_0_split_1
I0417 09:22:46.262974 4769 net.cpp:408] conv15_2_conv15_2/relu_0_split -> conv15_2_conv15_2/relu_0_split_2
I0417 09:22:46.263010 4769 net.cpp:408] conv15_2_conv15_2/relu_0_split -> conv15_2_conv15_2/relu_0_split_3
I0417 09:22:46.263046 4769 net.cpp:150] Setting up conv15_2_conv15_2/relu_0_split
I0417 09:22:46.263077 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.263134 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.263167 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.263198 4769 net.cpp:157] Top shape: 24 256 3 3 (55296)
I0417 09:22:46.263319 4769 net.cpp:165] Memory required for data: 3864588320
I0417 09:22:46.263351 4769 layer_factory.hpp:77] Creating layer conv16_1
I0417 09:22:46.263398 4769 net.cpp:100] Creating Layer conv16_1
I0417 09:22:46.263432 4769 net.cpp:434] conv16_1 <- conv15_2_conv15_2/relu_0_split_0
I0417 09:22:46.263468 4769 net.cpp:408] conv16_1 -> conv16_1
I0417 09:22:46.263916 4769 net.cpp:150] Setting up conv16_1
I0417 09:22:46.263963 4769 net.cpp:157] Top shape: 24 128 3 3 (27648)
I0417 09:22:46.263996 4769 net.cpp:165] Memory required for data: 3864698912
I0417 09:22:46.264029 4769 layer_factory.hpp:77] Creating layer conv16_1/bn
I0417 09:22:46.264066 4769 net.cpp:100] Creating Layer conv16_1/bn
I0417 09:22:46.264098 4769 net.cpp:434] conv16_1/bn <- conv16_1
I0417 09:22:46.264132 4769 net.cpp:395] conv16_1/bn -> conv16_1 (in-place)
I0417 09:22:46.264173 4769 net.cpp:150] Setting up conv16_1/bn
I0417 09:22:46.264235 4769 net.cpp:157] Top shape: 24 128 3 3 (27648)
I0417 09:22:46.264269 4769 net.cpp:165] Memory required for data: 3864809504
I0417 09:22:46.264303 4769 layer_factory.hpp:77] Creating layer conv16_1/scale
I0417 09:22:46.264338 4769 net.cpp:100] Creating Layer conv16_1/scale
I0417 09:22:46.264369 4769 net.cpp:434] conv16_1/scale <- conv16_1
I0417 09:22:46.264405 4769 net.cpp:395] conv16_1/scale -> conv16_1 (in-place)
I0417 09:22:46.264443 4769 layer_factory.hpp:77] Creating layer conv16_1/scale
I0417 09:22:46.264485 4769 net.cpp:150] Setting up conv16_1/scale
I0417 09:22:46.264518 4769 net.cpp:157] Top shape: 24 128 3 3 (27648)
I0417 09:22:46.264550 4769 net.cpp:165] Memory required for data: 3864920096
I0417 09:22:46.264581 4769 layer_factory.hpp:77] Creating layer conv16_1/relu
I0417 09:22:46.264614 4769 net.cpp:100] Creating Layer conv16_1/relu
I0417 09:22:46.264645 4769 net.cpp:434] conv16_1/relu <- conv16_1
I0417 09:22:46.264676 4769 net.cpp:395] conv16_1/relu -> conv16_1 (in-place)
I0417 09:22:46.264709 4769 net.cpp:150] Setting up conv16_1/relu
I0417 09:22:46.264765 4769 net.cpp:157] Top shape: 24 128 3 3 (27648)
I0417 09:22:46.264799 4769 net.cpp:165] Memory required for data: 3865030688
I0417 09:22:46.264830 4769 layer_factory.hpp:77] Creating layer conv16_2
I0417 09:22:46.264868 4769 net.cpp:100] Creating Layer conv16_2
I0417 09:22:46.264900 4769 net.cpp:434] conv16_2 <- conv16_1
I0417 09:22:46.264933 4769 net.cpp:408] conv16_2 -> conv16_2
@ 0x7f625786e1c3 google::LogMessage::Fail()
@ 0x7f6257873263 google::LogMessage::SendToLog()
I0417 09:22:46.277689 4769 net.cpp:150] Setting up conv16_2
I0417 09:22:46.277766 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.277858 4769 net.cpp:165] Memory required for data: 3865128992
I0417 09:22:46.277902 4769 layer_factory.hpp:77] Creating layer conv16_2/bn
I0417 09:22:46.277940 4769 net.cpp:100] Creating Layer conv16_2/bn
I0417 09:22:46.277972 4769 net.cpp:434] conv16_2/bn <- conv16_2
I0417 09:22:46.278007 4769 net.cpp:395] conv16_2/bn -> conv16_2 (in-place)
I0417 09:22:46.278055 4769 net.cpp:150] Setting up conv16_2/bn
I0417 09:22:46.278089 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.278121 4769 net.cpp:165] Memory required for data: 3865227296
I0417 09:22:46.278174 4769 layer_factory.hpp:77] Creating layer conv16_2/scale
I0417 09:22:46.278210 4769 net.cpp:100] Creating Layer conv16_2/scale
I0417 09:22:46.278259 4769 net.cpp:434] conv16_2/scale <- conv16_2
I0417 09:22:46.278292 4769 net.cpp:395] conv16_2/scale -> conv16_2 (in-place)
I0417 09:22:46.278353 4769 layer_factory.hpp:77] Creating layer conv16_2/scale
I0417 09:22:46.278427 4769 net.cpp:150] Setting up conv16_2/scale
I0417 09:22:46.278461 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.278494 4769 net.cpp:165] Memory required for data: 3865325600
I0417 09:22:46.278530 4769 layer_factory.hpp:77] Creating layer conv16_2/relu
I0417 09:22:46.278564 4769 net.cpp:100] Creating Layer conv16_2/relu
I0417 09:22:46.278596 4769 net.cpp:434] conv16_2/relu <- conv16_2
I0417 09:22:46.278627 4769 net.cpp:395] conv16_2/relu -> conv16_2 (in-place)
I0417 09:22:46.278662 4769 net.cpp:150] Setting up conv16_2/relu
I0417 09:22:46.278750 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.278784 4769 net.cpp:165] Memory required for data: 3865423904
I0417 09:22:46.278815 4769 layer_factory.hpp:77] Creating layer conv16_2_conv16_2/relu_0_split
I0417 09:22:46.278847 4769 net.cpp:100] Creating Layer conv16_2_conv16_2/relu_0_split
I0417 09:22:46.278878 4769 net.cpp:434] conv16_2_conv16_2/relu_0_split <- conv16_2
I0417 09:22:46.279000 4769 net.cpp:408] conv16_2_conv16_2/relu_0_split -> conv16_2_conv16_2/relu_0_split_0
I0417 09:22:46.279038 4769 net.cpp:408] conv16_2_conv16_2/relu_0_split -> conv16_2_conv16_2/relu_0_split_1
I0417 09:22:46.279073 4769 net.cpp:408] conv16_2_conv16_2/relu_0_split -> conv16_2_conv16_2/relu_0_split_2
I0417 09:22:46.279107 4769 net.cpp:408] conv16_2_conv16_2/relu_0_split -> conv16_2_conv16_2/relu_0_split_3
I0417 09:22:46.279143 4769 net.cpp:150] Setting up conv16_2_conv16_2/relu_0_split
I0417 09:22:46.279175 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.279207 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.279238 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.279270 4769 net.cpp:157] Top shape: 24 256 2 2 (24576)
I0417 09:22:46.279301 4769 net.cpp:165] Memory required for data: 3865817120
I0417 09:22:46.279332 4769 layer_factory.hpp:77] Creating layer conv17_1
I0417 09:22:46.279369 4769 net.cpp:100] Creating Layer conv17_1
I0417 09:22:46.279402 4769 net.cpp:434] conv17_1 <- conv16_2_conv16_2/relu_0_split_0
I0417 09:22:46.279503 4769 net.cpp:408] conv17_1 -> conv17_1
I0417 09:22:46.279754 4769 net.cpp:150] Setting up conv17_1
I0417 09:22:46.279791 4769 net.cpp:157] Top shape: 24 64 2 2 (6144)
I0417 09:22:46.279825 4769 net.cpp:165] Memory required for data: 3865841696
I0417 09:22:46.279858 4769 layer_factory.hpp:77] Creating layer conv17_1/bn
I0417 09:22:46.279893 4769 net.cpp:100] Creating Layer conv17_1/bn
I0417 09:22:46.279925 4769 net.cpp:434] conv17_1/bn <- conv17_1
I0417 09:22:46.279958 4769 net.cpp:395] conv17_1/bn -> conv17_1 (in-place)
I0417 09:22:46.280062 4769 net.cpp:150] Setting up conv17_1/bn
I0417 09:22:46.282868 4769 net.cpp:157] Top shape: 24 64 2 2 (6144)
I0417 09:22:46.282939 4769 net.cpp:165] Memory required for data: 3865866272
I0417 09:22:46.282984 4769 layer_factory.hpp:77] Creating layer conv17_1/scale
I0417 09:22:46.283057 4769 net.cpp:100] Creating Layer conv17_1/scale
I0417 09:22:46.283092 4769 net.cpp:434] conv17_1/scale <- conv17_1
I0417 09:22:46.283125 4769 net.cpp:395] conv17_1/scale -> conv17_1 (in-place)
I0417 09:22:46.283171 4769 layer_factory.hpp:77] Creating layer conv17_1/scale
I0417 09:22:46.283215 4769 net.cpp:150] Setting up conv17_1/scale
I0417 09:22:46.285315 4769 net.cpp:157] Top shape: 24 64 2 2 (6144)
I0417 09:22:46.285823 4769 net.cpp:165] Memory required for data: 3865890848
I0417 09:22:46.286471 4769 layer_factory.hpp:77] Creating layer conv17_1/relu
I0417 09:22:46.286988 4769 net.cpp:100] Creating Layer conv17_1/relu
I0417 09:22:46.287302 4769 net.cpp:434] conv17_1/relu <- conv17_1
I0417 09:22:46.287350 4769 net.cpp:395] conv17_1/relu -> conv17_1 (in-place)
I0417 09:22:46.287391 4769 net.cpp:150] Setting up conv17_1/relu
I0417 09:22:46.287425 4769 net.cpp:157] Top shape: 24 64 2 2 (6144)
I0417 09:22:46.287461 4769 net.cpp:165] Memory required for data: 3865915424
I0417 09:22:46.287494 4769 layer_factory.hpp:77] Creating layer conv17_2
I0417 09:22:46.287559 4769 net.cpp:100] Creating Layer conv17_2
I0417 09:22:46.291836 4769 net.cpp:434] conv17_2 <- conv17_1
I0417 09:22:46.291893 4769 net.cpp:408] conv17_2 -> conv17_2
I0417 09:22:46.292845 4769 net.cpp:150] Setting up conv17_2
I0417 09:22:46.292897 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.292932 4769 net.cpp:165] Memory required for data: 3865927712
I0417 09:22:46.292966 4769 layer_factory.hpp:77] Creating layer conv17_2/bn
I0417 09:22:46.293005 4769 net.cpp:100] Creating Layer conv17_2/bn
I0417 09:22:46.293102 4769 net.cpp:434] conv17_2/bn <- conv17_2
I0417 09:22:46.293138 4769 net.cpp:395] conv17_2/bn -> conv17_2 (in-place)
I0417 09:22:46.293215 4769 net.cpp:150] Setting up conv17_2/bn
I0417 09:22:46.293247 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.293280 4769 net.cpp:165] Memory required for data: 3865940000
I0417 09:22:46.293318 4769 layer_factory.hpp:77] Creating layer conv17_2/scale
I0417 09:22:46.293351 4769 net.cpp:100] Creating Layer conv17_2/scale
I0417 09:22:46.293383 4769 net.cpp:434] conv17_2/scale <- conv17_2
I0417 09:22:46.293417 4769 net.cpp:395] conv17_2/scale -> conv17_2 (in-place)
I0417 09:22:46.293457 4769 layer_factory.hpp:77] Creating layer conv17_2/scale
I0417 09:22:46.293501 4769 net.cpp:150] Setting up conv17_2/scale
I0417 09:22:46.293534 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.293642 4769 net.cpp:165] Memory required for data: 3865952288
I0417 09:22:46.294268 4769 layer_factory.hpp:77] Creating layer conv17_2/relu
I0417 09:22:46.294306 4769 net.cpp:100] Creating Layer conv17_2/relu
I0417 09:22:46.294337 4769 net.cpp:434] conv17_2/relu <- conv17_2
I0417 09:22:46.294369 4769 net.cpp:395] conv17_2/relu -> conv17_2 (in-place)
I0417 09:22:46.294404 4769 net.cpp:150] Setting up conv17_2/relu
I0417 09:22:46.294436 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.294468 4769 net.cpp:165] Memory required for data: 3865964576
I0417 09:22:46.294498 4769 layer_factory.hpp:77] Creating layer conv17_2_conv17_2/relu_0_split
I0417 09:22:46.294534 4769 net.cpp:100] Creating Layer conv17_2_conv17_2/relu_0_split
I0417 09:22:46.294566 4769 net.cpp:434] conv17_2_conv17_2/relu_0_split <- conv17_2
I0417 09:22:46.294600 4769 net.cpp:408] conv17_2_conv17_2/relu_0_split -> conv17_2_conv17_2/relu_0_split_0
I0417 09:22:46.294638 4769 net.cpp:408] conv17_2_conv17_2/relu_0_split -> conv17_2_conv17_2/relu_0_split_1
I0417 09:22:46.294720 4769 net.cpp:408] conv17_2_conv17_2/relu_0_split -> conv17_2_conv17_2/relu_0_split_2
I0417 09:22:46.294759 4769 net.cpp:150] Setting up conv17_2_conv17_2/relu_0_split
I0417 09:22:46.294792 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.294824 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.294857 4769 net.cpp:157] Top shape: 24 128 1 1 (3072)
I0417 09:22:46.294888 4769 net.cpp:165] Memory required for data: 3866001440
I0417 09:22:46.294919 4769 layer_factory.hpp:77] Creating layer conv11_mbox_loc
I0417 09:22:46.294957 4769 net.cpp:100] Creating Layer conv11_mbox_loc
I0417 09:22:46.294991 4769 net.cpp:434] conv11_mbox_loc <- conv11_conv11/relu_0_split_1
I0417 09:22:46.295024 4769 net.cpp:408] conv11_mbox_loc -> conv11_mbox_loc
I0417 09:22:46.295128 4769 net.cpp:150] Setting up conv11_mbox_loc
I0417 09:22:46.295162 4769 net.cpp:157] Top shape: 24 12 19 19 (103968)
I0417 09:22:46.295240 4769 net.cpp:165] Memory required for data: 3866417312
I0417 09:22:46.295296 4769 layer_factory.hpp:77] Creating layer conv11_mbox_loc_perm
I0417 09:22:46.295336 4769 net.cpp:100] Creating Layer conv11_mbox_loc_perm
I0417 09:22:46.295369 4769 net.cpp:434] conv11_mbox_loc_perm <- conv11_mbox_loc
I0417 09:22:46.295403 4769 net.cpp:408] conv11_mbox_loc_perm -> conv11_mbox_loc_perm
I0417 09:22:46.295630 4769 net.cpp:150] Setting up conv11_mbox_loc_perm
@ 0x7f625786debf google::LogMessage::Flush()
I0417 09:22:46.298663 4769 net.cpp:157] Top shape: 24 19 19 12 (103968)
I0417 09:22:46.298949 4769 net.cpp:165] Memory required for data: 3866833184
I0417 09:22:46.299468 4769 layer_factory.hpp:77] Creating layer conv11_mbox_loc_flat
I0417 09:22:46.299667 4769 net.cpp:100] Creating Layer conv11_mbox_loc_flat
I0417 09:22:46.299712 4769 net.cpp:434] conv11_mbox_loc_flat <- conv11_mbox_loc_perm
I0417 09:22:46.299757 4769 net.cpp:408] conv11_mbox_loc_flat -> conv11_mbox_loc_flat
I0417 09:22:46.299824 4769 net.cpp:150] Setting up conv11_mbox_loc_flat
I0417 09:22:46.299866 4769 net.cpp:157] Top shape: 24 4332 (103968)
I0417 09:22:46.299909 4769 net.cpp:165] Memory required for data: 3867249056
I0417 09:22:46.299949 4769 layer_factory.hpp:77] Creating layer conv11_mbox_conf_new
I0417 09:22:46.299995 4769 net.cpp:100] Creating Layer conv11_mbox_conf_new
I0417 09:22:46.300070 4769 net.cpp:434] conv11_mbox_conf_new <- conv11_conv11/relu_0_split_2
I0417 09:22:46.300137 4769 net.cpp:408] conv11_mbox_conf_new -> conv11_mbox_conf
I0417 09:22:46.300232 4769 net.cpp:150] Setting up conv11_mbox_conf_new
I0417 09:22:46.300276 4769 net.cpp:157] Top shape: 24 6 19 19 (51984)
I0417 09:22:46.300316 4769 net.cpp:165] Memory required for data: 3867456992
I0417 09:22:46.300351 4769 layer_factory.hpp:77] Creating layer conv11_mbox_conf_perm
I0417 09:22:46.300386 4769 net.cpp:100] Creating Layer conv11_mbox_conf_perm
I0417 09:22:46.300418 4769 net.cpp:434] conv11_mbox_conf_perm <- conv11_mbox_conf
I0417 09:22:46.300451 4769 net.cpp:408] conv11_mbox_conf_perm -> conv11_mbox_conf_perm
I0417 09:22:46.300495 4769 net.cpp:150] Setting up conv11_mbox_conf_perm
I0417 09:22:46.300537 4769 net.cpp:157] Top shape: 24 19 19 6 (51984)
I0417 09:22:46.300577 4769 net.cpp:165] Memory required for data: 3867664928
I0417 09:22:46.300616 4769 layer_factory.hpp:77] Creating layer conv11_mbox_conf_flat
I0417 09:22:46.300678 4769 net.cpp:100] Creating Layer conv11_mbox_conf_flat
I0417 09:22:46.300719 4769 net.cpp:434] conv11_mbox_conf_flat <- conv11_mbox_conf_perm
I0417 09:22:46.300761 4769 net.cpp:408] conv11_mbox_conf_flat -> conv11_mbox_conf_flat
I0417 09:22:46.300806 4769 net.cpp:150] Setting up conv11_mbox_conf_flat
I0417 09:22:46.300848 4769 net.cpp:157] Top shape: 24 2166 (51984)
I0417 09:22:46.300886 4769 net.cpp:165] Memory required for data: 3867872864
I0417 09:22:46.300925 4769 layer_factory.hpp:77] Creating layer conv11_mbox_priorbox
@ 0x7f625786e6ef google::LogMessageFatal::~LogMessageFatal()
@ 0x7f6257b14539 caffe::caffe_rng_uniform<>()
@ 0x7f6257ad081f caffe::SampleBBox()
I0417 09:22:46.318050 4769 net.cpp:100] Creating Layer conv11_mbox_priorbox
I0417 09:22:46.318166 4769 net.cpp:434] conv11_mbox_priorbox <- conv11_conv11/relu_0_split_3
I0417 09:22:46.318231 4769 net.cpp:434] conv11_mbox_priorbox <- data_data_0_split_1
I0417 09:22:46.318267 4769 net.cpp:408] conv11_mbox_priorbox -> conv11_mbox_priorbox
I0417 09:22:46.318320 4769 net.cpp:150] Setting up conv11_mbox_priorbox
I0417 09:22:46.318356 4769 net.cpp:157] Top shape: 1 2 4332 (8664)
I0417 09:22:46.318389 4769 net.cpp:165] Memory required for data: 3867907520
I0417 09:22:46.318421 4769 layer_factory.hpp:77] Creating layer conv13_mbox_loc
I0417 09:22:46.318461 4769 net.cpp:100] Creating Layer conv13_mbox_loc
I0417 09:22:46.318495 4769 net.cpp:434] conv13_mbox_loc <- conv13_conv13/relu_0_split_1
I0417 09:22:46.318533 4769 net.cpp:408] conv13_mbox_loc -> conv13_mbox_loc
I0417 09:22:46.318949 4769 net.cpp:150] Setting up conv13_mbox_loc
I0417 09:22:46.319067 4769 net.cpp:157] Top shape: 24 24 10 10 (57600)
I0417 09:22:46.319103 4769 net.cpp:165] Memory required for data: 3868137920
I0417 09:22:46.320122 4769 layer_factory.hpp:77] Creating layer conv13_mbox_loc_perm
I0417 09:22:46.320183 4769 net.cpp:100] Creating Layer conv13_mbox_loc_perm
I0417 09:22:46.320345 4769 net.cpp:434] conv13_mbox_loc_perm <- conv13_mbox_loc
I0417 09:22:46.320473 4769 net.cpp:408] conv13_mbox_loc_perm -> conv13_mbox_loc_perm
I0417 09:22:46.320643 4769 net.cpp:150] Setting up conv13_mbox_loc_perm
I0417 09:22:46.320688 4769 net.cpp:157] Top shape: 24 10 10 24 (57600)
I0417 09:22:46.320740 4769 net.cpp:165] Memory required for data: 3868368320
I0417 09:22:46.320821 4769 layer_factory.hpp:77] Creating layer conv13_mbox_loc_flat
I0417 09:22:46.320974 4769 net.cpp:100] Creating Layer conv13_mbox_loc_flat
I0417 09:22:46.321012 4769 net.cpp:434] conv13_mbox_loc_flat <- conv13_mbox_loc_perm
I0417 09:22:46.321054 4769 net.cpp:408] conv13_mbox_loc_flat -> conv13_mbox_loc_flat
I0417 09:22:46.321094 4769 net.cpp:150] Setting up conv13_mbox_loc_flat
I0417 09:22:46.321127 4769 net.cpp:157] Top shape: 24 2400 (57600)
I0417 09:22:46.321159 4769 net.cpp:165] Memory required for data: 3868598720
I0417 09:22:46.321190 4769 layer_factory.hpp:77] Creating layer conv13_mbox_conf_new
I0417 09:22:46.321228 4769 net.cpp:100] Creating Layer conv13_mbox_conf_new
I0417 09:22:46.321260 4769 net.cpp:434] conv13_mbox_conf_new <- conv13_conv13/relu_0_split_2
I0417 09:22:46.321362 4769 net.cpp:408] conv13_mbox_conf_new -> conv13_mbox_conf
I0417 09:22:46.321553 4769 net.cpp:150] Setting up conv13_mbox_conf_new
I0417 09:22:46.321589 4769 net.cpp:157] Top shape: 24 12 10 10 (28800)
I0417 09:22:46.321622 4769 net.cpp:165] Memory required for data: 3868713920
I0417 09:22:46.321656 4769 layer_factory.hpp:77] Creating layer conv13_mbox_conf_perm
I0417 09:22:46.321692 4769 net.cpp:100] Creating Layer conv13_mbox_conf_perm
I0417 09:22:46.321724 4769 net.cpp:434] conv13_mbox_conf_perm <- conv13_mbox_conf
I0417 09:22:46.321758 4769 net.cpp:408] conv13_mbox_conf_perm -> conv13_mbox_conf_perm
I0417 09:22:46.321794 4769 net.cpp:150] Setting up conv13_mbox_conf_perm
I0417 09:22:46.321827 4769 net.cpp:157] Top shape: 24 10 10 12 (28800)
I0417 09:22:46.321888 4769 net.cpp:165] Memory required for data: 3868829120
I0417 09:22:46.321935 4769 layer_factory.hpp:77] Creating layer conv13_mbox_conf_flat
I0417 09:22:46.322016 4769 net.cpp:100] Creating Layer conv13_mbox_conf_flat
I0417 09:22:46.322047 4769 net.cpp:434] conv13_mbox_conf_flat <- conv13_mbox_conf_perm
I0417 09:22:46.322085 4769 net.cpp:408] conv13_mbox_conf_flat -> conv13_mbox_conf_flat
I0417 09:22:46.322124 4769 net.cpp:150] Setting up conv13_mbox_conf_flat
I0417 09:22:46.322157 4769 net.cpp:157] Top shape: 24 1200 (28800)
I0417 09:22:46.322206 4769 net.cpp:165] Memory required for data: 3868944320
I0417 09:22:46.322237 4769 layer_factory.hpp:77] Creating layer conv13_mbox_priorbox
I0417 09:22:46.322269 4769 net.cpp:100] Creating Layer conv13_mbox_priorbox
I0417 09:22:46.322300 4769 net.cpp:434] conv13_mbox_priorbox <- conv13_conv13/relu_0_split_3
I0417 09:22:46.322333 4769 net.cpp:434] conv13_mbox_priorbox <- data_data_0_split_2
I0417 09:22:46.322366 4769 net.cpp:408] conv13_mbox_priorbox -> conv13_mbox_priorbox
I0417 09:22:46.322489 4769 net.cpp:150] Setting up conv13_mbox_priorbox
I0417 09:22:46.322543 4769 net.cpp:157] Top shape: 1 2 2400 (4800)
I0417 09:22:46.322576 4769 net.cpp:165] Memory required for data: 3868963520
I0417 09:22:46.322607 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_loc
I0417 09:22:46.322646 4769 net.cpp:100] Creating Layer conv14_2_mbox_loc
I0417 09:22:46.322680 4769 net.cpp:434] conv14_2_mbox_loc <- conv14_2_conv14_2/relu_0_split_1
I0417 09:22:46.322715 4769 net.cpp:408] conv14_2_mbox_loc -> conv14_2_mbox_loc
I0417 09:22:46.322993 4769 net.cpp:150] Setting up conv14_2_mbox_loc
I0417 09:22:46.323173 4769 net.cpp:157] Top shape: 24 24 5 5 (14400)
I0417 09:22:46.323228 4769 net.cpp:165] Memory required for data: 3869021120
I0417 09:22:46.323320 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_loc_perm
I0417 09:22:46.323407 4769 net.cpp:100] Creating Layer conv14_2_mbox_loc_perm
I0417 09:22:46.323446 4769 net.cpp:434] conv14_2_mbox_loc_perm <- conv14_2_mbox_loc
I0417 09:22:46.323515 4769 net.cpp:408] conv14_2_mbox_loc_perm -> conv14_2_mbox_loc_perm
I0417 09:22:46.323581 4769 net.cpp:150] Setting up conv14_2_mbox_loc_perm
I0417 09:22:46.323616 4769 net.cpp:157] Top shape: 24 5 5 24 (14400)
I0417 09:22:46.323650 4769 net.cpp:165] Memory required for data: 3869078720
I0417 09:22:46.323688 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_loc_flat
I0417 09:22:46.323742 4769 net.cpp:100] Creating Layer conv14_2_mbox_loc_flat
I0417 09:22:46.323776 4769 net.cpp:434] conv14_2_mbox_loc_flat <- conv14_2_mbox_loc_perm
I0417 09:22:46.323814 4769 net.cpp:408] conv14_2_mbox_loc_flat -> conv14_2_mbox_loc_flat
I0417 09:22:46.323868 4769 net.cpp:150] Setting up conv14_2_mbox_loc_flat
I0417 09:22:46.323906 4769 net.cpp:157] Top shape: 24 600 (14400)
I0417 09:22:46.323940 4769 net.cpp:165] Memory required for data: 3869136320
I0417 09:22:46.324036 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_conf_new
I0417 09:22:46.324120 4769 net.cpp:100] Creating Layer conv14_2_mbox_conf_new
I0417 09:22:46.324159 4769 net.cpp:434] conv14_2_mbox_conf_new <- conv14_2_conv14_2/relu_0_split_2
I0417 09:22:46.324196 4769 net.cpp:408] conv14_2_mbox_conf_new -> conv14_2_mbox_conf
I0417 09:22:46.324359 4769 net.cpp:150] Setting up conv14_2_mbox_conf_new
I0417 09:22:46.324395 4769 net.cpp:157] Top shape: 24 12 5 5 (7200)
I0417 09:22:46.324429 4769 net.cpp:165] Memory required for data: 3869165120
I0417 09:22:46.324463 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_conf_perm
I0417 09:22:46.324499 4769 net.cpp:100] Creating Layer conv14_2_mbox_conf_perm
I0417 09:22:46.324532 4769 net.cpp:434] conv14_2_mbox_conf_perm <- conv14_2_mbox_conf
I0417 09:22:46.324590 4769 net.cpp:408] conv14_2_mbox_conf_perm -> conv14_2_mbox_conf_perm
I0417 09:22:46.324682 4769 net.cpp:150] Setting up conv14_2_mbox_conf_perm
I0417 09:22:46.324717 4769 net.cpp:157] Top shape: 24 5 5 12 (7200)
I0417 09:22:46.324749 4769 net.cpp:165] Memory required for data: 3869193920
I0417 09:22:46.324779 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_conf_flat
I0417 09:22:46.324813 4769 net.cpp:100] Creating Layer conv14_2_mbox_conf_flat
I0417 09:22:46.324844 4769 net.cpp:434] conv14_2_mbox_conf_flat <- conv14_2_mbox_conf_perm
I0417 09:22:46.324877 4769 net.cpp:408] conv14_2_mbox_conf_flat -> conv14_2_mbox_conf_flat
I0417 09:22:46.324914 4769 net.cpp:150] Setting up conv14_2_mbox_conf_flat
I0417 09:22:46.324947 4769 net.cpp:157] Top shape: 24 300 (7200)
I0417 09:22:46.324978 4769 net.cpp:165] Memory required for data: 3869222720
I0417 09:22:46.325011 4769 layer_factory.hpp:77] Creating layer conv14_2_mbox_priorbox
I0417 09:22:46.325049 4769 net.cpp:100] Creating Layer conv14_2_mbox_priorbox
I0417 09:22:46.325084 4769 net.cpp:434] conv14_2_mbox_priorbox <- conv14_2_conv14_2/relu_0_split_3
I0417 09:22:46.325182 4769 net.cpp:434] conv14_2_mbox_priorbox <- data_data_0_split_3
I0417 09:22:46.325260 4769 net.cpp:408] conv14_2_mbox_priorbox -> conv14_2_mbox_priorbox
I0417 09:22:46.325343 4769 net.cpp:150] Setting up conv14_2_mbox_priorbox
I0417 09:22:46.325412 4769 net.cpp:157] Top shape: 1 2 600 (1200)
I0417 09:22:46.325521 4769 net.cpp:165] Memory required for data: 3869227520
I0417 09:22:46.325601 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_loc
I0417 09:22:46.325902 4769 net.cpp:100] Creating Layer conv15_2_mbox_loc
I0417 09:22:46.326056 4769 net.cpp:434] conv15_2_mbox_loc <- conv15_2_conv15_2/relu_0_split_1
I0417 09:22:46.326128 4769 net.cpp:408] conv15_2_mbox_loc -> conv15_2_mbox_loc
I0417 09:22:46.327548 4769 net.cpp:150] Setting up conv15_2_mbox_loc
I0417 09:22:46.327786 4769 net.cpp:157] Top shape: 24 24 3 3 (5184)
I0417 09:22:46.327911 4769 net.cpp:165] Memory required for data: 3869248256
I0417 09:22:46.327955 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_loc_perm
I0417 09:22:46.327994 4769 net.cpp:100] Creating Layer conv15_2_mbox_loc_perm
I0417 09:22:46.328027 4769 net.cpp:434] conv15_2_mbox_loc_perm <- conv15_2_mbox_loc
I0417 09:22:46.328061 4769 net.cpp:408] conv15_2_mbox_loc_perm -> conv15_2_mbox_loc_perm
I0417 09:22:46.328105 4769 net.cpp:150] Setting up conv15_2_mbox_loc_perm
I0417 09:22:46.328137 4769 net.cpp:157] Top shape: 24 3 3 24 (5184)
I0417 09:22:46.328169 4769 net.cpp:165] Memory required for data: 3869268992
I0417 09:22:46.328199 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_loc_flat
I0417 09:22:46.328233 4769 net.cpp:100] Creating Layer conv15_2_mbox_loc_flat
I0417 09:22:46.328263 4769 net.cpp:434] conv15_2_mbox_loc_flat <- conv15_2_mbox_loc_perm
I0417 09:22:46.328295 4769 net.cpp:408] conv15_2_mbox_loc_flat -> conv15_2_mbox_loc_flat
I0417 09:22:46.328331 4769 net.cpp:150] Setting up conv15_2_mbox_loc_flat
I0417 09:22:46.328363 4769 net.cpp:157] Top shape: 24 216 (5184)
I0417 09:22:46.328440 4769 net.cpp:165] Memory required for data: 3869289728
I0417 09:22:46.328491 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_conf_new
I0417 09:22:46.328536 4769 net.cpp:100] Creating Layer conv15_2_mbox_conf_new
I0417 09:22:46.328568 4769 net.cpp:434] conv15_2_mbox_conf_new <- conv15_2_conv15_2/relu_0_split_2
I0417 09:22:46.328603 4769 net.cpp:408] conv15_2_mbox_conf_new -> conv15_2_mbox_conf
I0417 09:22:46.328697 4769 net.cpp:150] Setting up conv15_2_mbox_conf_new
I0417 09:22:46.329668 4769 net.cpp:157] Top shape: 24 12 3 3 (2592)
I0417 09:22:46.329742 4769 net.cpp:165] Memory required for data: 3869300096
I0417 09:22:46.329825 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_conf_perm
I0417 09:22:46.329869 4769 net.cpp:100] Creating Layer conv15_2_mbox_conf_perm
I0417 09:22:46.329905 4769 net.cpp:434] conv15_2_mbox_conf_perm <- conv15_2_mbox_conf
I0417 09:22:46.329938 4769 net.cpp:408] conv15_2_mbox_conf_perm -> conv15_2_mbox_conf_perm
I0417 09:22:46.329982 4769 net.cpp:150] Setting up conv15_2_mbox_conf_perm
I0417 09:22:46.330015 4769 net.cpp:157] Top shape: 24 3 3 12 (2592)
I0417 09:22:46.330111 4769 net.cpp:165] Memory required for data: 3869310464
I0417 09:22:46.330161 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_conf_flat
I0417 09:22:46.330195 4769 net.cpp:100] Creating Layer conv15_2_mbox_conf_flat
I0417 09:22:46.330227 4769 net.cpp:434] conv15_2_mbox_conf_flat <- conv15_2_mbox_conf_perm
I0417 09:22:46.330260 4769 net.cpp:408] conv15_2_mbox_conf_flat -> conv15_2_mbox_conf_flat
I0417 09:22:46.330298 4769 net.cpp:150] Setting up conv15_2_mbox_conf_flat
I0417 09:22:46.330330 4769 net.cpp:157] Top shape: 24 108 (2592)
I0417 09:22:46.330363 4769 net.cpp:165] Memory required for data: 3869320832
I0417 09:22:46.330395 4769 layer_factory.hpp:77] Creating layer conv15_2_mbox_priorbox
I0417 09:22:46.330433 4769 net.cpp:100] Creating Layer conv15_2_mbox_priorbox
I0417 09:22:46.330466 4769 net.cpp:434] conv15_2_mbox_priorbox <- conv15_2_conv15_2/relu_0_split_3
I0417 09:22:46.330498 4769 net.cpp:434] conv15_2_mbox_priorbox <- data_data_0_split_4
I0417 09:22:46.330533 4769 net.cpp:408] conv15_2_mbox_priorbox -> conv15_2_mbox_priorbox
I0417 09:22:46.330646 4769 net.cpp:150] Setting up conv15_2_mbox_priorbox
I0417 09:22:46.330689 4769 net.cpp:157] Top shape: 1 2 216 (432)
I0417 09:22:46.330721 4769 net.cpp:165] Memory required for data: 3869322560
I0417 09:22:46.330752 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_loc
I0417 09:22:46.330788 4769 net.cpp:100] Creating Layer conv16_2_mbox_loc
I0417 09:22:46.330821 4769 net.cpp:434] conv16_2_mbox_loc <- conv16_2_conv16_2/relu_0_split_1
I0417 09:22:46.330854 4769 net.cpp:408] conv16_2_mbox_loc -> conv16_2_mbox_loc
I0417 09:22:46.330971 4769 net.cpp:150] Setting up conv16_2_mbox_loc
I0417 09:22:46.331010 4769 net.cpp:157] Top shape: 24 24 2 2 (2304)
I0417 09:22:46.331053 4769 net.cpp:165] Memory required for data: 3869331776
I0417 09:22:46.331095 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_loc_perm
I0417 09:22:46.331199 4769 net.cpp:100] Creating Layer conv16_2_mbox_loc_perm
I0417 09:22:46.331243 4769 net.cpp:434] conv16_2_mbox_loc_perm <- conv16_2_mbox_loc
I0417 09:22:46.331285 4769 net.cpp:408] conv16_2_mbox_loc_perm -> conv16_2_mbox_loc_perm
I0417 09:22:46.331332 4769 net.cpp:150] Setting up conv16_2_mbox_loc_perm
I0417 09:22:46.331365 4769 net.cpp:157] Top shape: 24 2 2 24 (2304)
I0417 09:22:46.331398 4769 net.cpp:165] Memory required for data: 3869340992
I0417 09:22:46.331429 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_loc_flat
I0417 09:22:46.331465 4769 net.cpp:100] Creating Layer conv16_2_mbox_loc_flat
I0417 09:22:46.331496 4769 net.cpp:434] conv16_2_mbox_loc_flat <- conv16_2_mbox_loc_perm
I0417 09:22:46.331529 4769 net.cpp:408] conv16_2_mbox_loc_flat -> conv16_2_mbox_loc_flat
I0417 09:22:46.331564 4769 net.cpp:150] Setting up conv16_2_mbox_loc_flat
I0417 09:22:46.331596 4769 net.cpp:157] Top shape: 24 96 (2304)
I0417 09:22:46.331627 4769 net.cpp:165] Memory required for data: 3869350208
I0417 09:22:46.331715 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_conf_new
I0417 09:22:46.331754 4769 net.cpp:100] Creating Layer conv16_2_mbox_conf_new
I0417 09:22:46.331786 4769 net.cpp:434] conv16_2_mbox_conf_new <- conv16_2_conv16_2/relu_0_split_2
I0417 09:22:46.331823 4769 net.cpp:408] conv16_2_mbox_conf_new -> conv16_2_mbox_conf
I0417 09:22:46.331903 4769 net.cpp:150] Setting up conv16_2_mbox_conf_new
@ 0x7f6257ad0b98 caffe::GenerateSamples()
I0417 09:22:46.334444 4769 net.cpp:157] Top shape: 24 12 2 2 (1152)
I0417 09:22:46.342204 4769 net.cpp:165] Memory required for data: 3869354816
I0417 09:22:46.342260 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_conf_perm
I0417 09:22:46.342276 4769 net.cpp:100] Creating Layer conv16_2_mbox_conf_perm
I0417 09:22:46.342303 4769 net.cpp:434] conv16_2_mbox_conf_perm <- conv16_2_mbox_conf
I0417 09:22:46.342312 4769 net.cpp:408] conv16_2_mbox_conf_perm -> conv16_2_mbox_conf_perm
I0417 09:22:46.342334 4769 net.cpp:150] Setting up conv16_2_mbox_conf_perm
I0417 09:22:46.342342 4769 net.cpp:157] Top shape: 24 2 2 12 (1152)
I0417 09:22:46.342351 4769 net.cpp:165] Memory required for data: 3869359424
I0417 09:22:46.342357 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_conf_flat
I0417 09:22:46.342375 4769 net.cpp:100] Creating Layer conv16_2_mbox_conf_flat
I0417 09:22:46.342383 4769 net.cpp:434] conv16_2_mbox_conf_flat <- conv16_2_mbox_conf_perm
I0417 09:22:46.342391 4769 net.cpp:408] conv16_2_mbox_conf_flat -> conv16_2_mbox_conf_flat
I0417 09:22:46.342403 4769 net.cpp:150] Setting up conv16_2_mbox_conf_flat
I0417 09:22:46.342411 4769 net.cpp:157] Top shape: 24 48 (1152)
I0417 09:22:46.342417 4769 net.cpp:165] Memory required for data: 3869364032
I0417 09:22:46.342423 4769 layer_factory.hpp:77] Creating layer conv16_2_mbox_priorbox
I0417 09:22:46.342432 4769 net.cpp:100] Creating Layer conv16_2_mbox_priorbox
I0417 09:22:46.342440 4769 net.cpp:434] conv16_2_mbox_priorbox <- conv16_2_conv16_2/relu_0_split_3
I0417 09:22:46.342449 4769 net.cpp:434] conv16_2_mbox_priorbox <- data_data_0_split_5
I0417 09:22:46.342458 4769 net.cpp:408] conv16_2_mbox_priorbox -> conv16_2_mbox_priorbox
I0417 09:22:46.342474 4769 net.cpp:150] Setting up conv16_2_mbox_priorbox
I0417 09:22:46.342481 4769 net.cpp:157] Top shape: 1 2 96 (192)
I0417 09:22:46.342489 4769 net.cpp:165] Memory required for data: 3869364800
I0417 09:22:46.342495 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_loc
I0417 09:22:46.342507 4769 net.cpp:100] Creating Layer conv17_2_mbox_loc
I0417 09:22:46.342593 4769 net.cpp:434] conv17_2_mbox_loc <- conv17_2_conv17_2/relu_0_split_0
I0417 09:22:46.342608 4769 net.cpp:408] conv17_2_mbox_loc -> conv17_2_mbox_loc
I0417 09:22:46.342681 4769 net.cpp:150] Setting up conv17_2_mbox_loc
I0417 09:22:46.345484 4769 net.cpp:157] Top shape: 24 24 1 1 (576)
I0417 09:22:46.345510 4769 net.cpp:165] Memory required for data: 3869367104
I0417 09:22:46.345525 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_loc_perm
I0417 09:22:46.345549 4769 net.cpp:100] Creating Layer conv17_2_mbox_loc_perm
I0417 09:22:46.345578 4769 net.cpp:434] conv17_2_mbox_loc_perm <- conv17_2_mbox_loc
I0417 09:22:46.345605 4769 net.cpp:408] conv17_2_mbox_loc_perm -> conv17_2_mbox_loc_perm
I0417 09:22:46.345641 4769 net.cpp:150] Setting up conv17_2_mbox_loc_perm
I0417 09:22:46.345693 4769 net.cpp:157] Top shape: 24 1 1 24 (576)
I0417 09:22:46.345705 4769 net.cpp:165] Memory required for data: 3869369408
I0417 09:22:46.345711 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_loc_flat
I0417 09:22:46.345738 4769 net.cpp:100] Creating Layer conv17_2_mbox_loc_flat
I0417 09:22:46.345760 4769 net.cpp:434] conv17_2_mbox_loc_flat <- conv17_2_mbox_loc_perm
I0417 09:22:46.345770 4769 net.cpp:408] conv17_2_mbox_loc_flat -> conv17_2_mbox_loc_flat
I0417 09:22:46.345870 4769 net.cpp:150] Setting up conv17_2_mbox_loc_flat
I0417 09:22:46.346148 4769 net.cpp:157] Top shape: 24 24 (576)
I0417 09:22:46.346169 4769 net.cpp:165] Memory required for data: 3869371712
I0417 09:22:46.346184 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_conf_new
I0417 09:22:46.346213 4769 net.cpp:100] Creating Layer conv17_2_mbox_conf_new
I0417 09:22:46.346227 4769 net.cpp:434] conv17_2_mbox_conf_new <- conv17_2_conv17_2/relu_0_split_1
I0417 09:22:46.346243 4769 net.cpp:408] conv17_2_mbox_conf_new -> conv17_2_mbox_conf
I0417 09:22:46.346305 4769 net.cpp:150] Setting up conv17_2_mbox_conf_new
I0417 09:22:46.346316 4769 net.cpp:157] Top shape: 24 12 1 1 (288)
I0417 09:22:46.346411 4769 net.cpp:165] Memory required for data: 3869372864
I0417 09:22:46.346426 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_conf_perm
I0417 09:22:46.346441 4769 net.cpp:100] Creating Layer conv17_2_mbox_conf_perm
I0417 09:22:46.346465 4769 net.cpp:434] conv17_2_mbox_conf_perm <- conv17_2_mbox_conf
I0417 09:22:46.346489 4769 net.cpp:408] conv17_2_mbox_conf_perm -> conv17_2_mbox_conf_perm
I0417 09:22:46.346523 4769 net.cpp:150] Setting up conv17_2_mbox_conf_perm
I0417 09:22:46.346545 4769 net.cpp:157] Top shape: 24 1 1 12 (288)
I0417 09:22:46.346567 4769 net.cpp:165] Memory required for data: 3869374016
I0417 09:22:46.346599 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_conf_flat
I0417 09:22:46.346616 4769 net.cpp:100] Creating Layer conv17_2_mbox_conf_flat
I0417 09:22:46.346649 4769 net.cpp:434] conv17_2_mbox_conf_flat <- conv17_2_mbox_conf_perm
I0417 09:22:46.346685 4769 net.cpp:408] conv17_2_mbox_conf_flat -> conv17_2_mbox_conf_flat
I0417 09:22:46.346704 4769 net.cpp:150] Setting up conv17_2_mbox_conf_flat
I0417 09:22:46.346740 4769 net.cpp:157] Top shape: 24 12 (288)
I0417 09:22:46.346771 4769 net.cpp:165] Memory required for data: 3869375168
I0417 09:22:46.346781 4769 layer_factory.hpp:77] Creating layer conv17_2_mbox_priorbox
I0417 09:22:46.346792 4769 net.cpp:100] Creating Layer conv17_2_mbox_priorbox
I0417 09:22:46.346815 4769 net.cpp:434] conv17_2_mbox_priorbox <- conv17_2_conv17_2/relu_0_split_2
I0417 09:22:46.346837 4769 net.cpp:434] conv17_2_mbox_priorbox <- data_data_0_split_6
I0417 09:22:46.346864 4769 net.cpp:408] conv17_2_mbox_priorbox -> conv17_2_mbox_priorbox
I0417 09:22:46.346966 4769 net.cpp:150] Setting up conv17_2_mbox_priorbox
I0417 09:22:46.346992 4769 net.cpp:157] Top shape: 1 2 24 (48)
I0417 09:22:46.347000 4769 net.cpp:165] Memory required for data: 3869375360
I0417 09:22:46.347020 4769 layer_factory.hpp:77] Creating layer mbox_loc
I0417 09:22:46.347043 4769 net.cpp:100] Creating Layer mbox_loc
I0417 09:22:46.347082 4769 net.cpp:434] mbox_loc <- conv11_mbox_loc_flat
I0417 09:22:46.347106 4769 net.cpp:434] mbox_loc <- conv13_mbox_loc_flat
I0417 09:22:46.347129 4769 net.cpp:434] mbox_loc <- conv14_2_mbox_loc_flat
I0417 09:22:46.347151 4769 net.cpp:434] mbox_loc <- conv15_2_mbox_loc_flat
I0417 09:22:46.347162 4769 net.cpp:434] mbox_loc <- conv16_2_mbox_loc_flat
I0417 09:22:46.347182 4769 net.cpp:434] mbox_loc <- conv17_2_mbox_loc_flat
I0417 09:22:46.347203 4769 net.cpp:408] mbox_loc -> mbox_loc
I0417 09:22:46.347220 4769 net.cpp:150] Setting up mbox_loc
I0417 09:22:46.347244 4769 net.cpp:157] Top shape: 24 7668 (184032)
I0417 09:22:46.347270 4769 net.cpp:165] Memory required for data: 3870111488
I0417 09:22:46.347292 4769 layer_factory.hpp:77] Creating layer mbox_conf
I0417 09:22:46.347306 4769 net.cpp:100] Creating Layer mbox_conf
I0417 09:22:46.347327 4769 net.cpp:434] mbox_conf <- conv11_mbox_conf_flat
I0417 09:22:46.347349 4769 net.cpp:434] mbox_conf <- conv13_mbox_conf_flat
I0417 09:22:46.347358 4769 net.cpp:434] mbox_conf <- conv14_2_mbox_conf_flat
I0417 09:22:46.347379 4769 net.cpp:434] mbox_conf <- conv15_2_mbox_conf_flat
I0417 09:22:46.347400 4769 net.cpp:434] mbox_conf <- conv16_2_mbox_conf_flat
I0417 09:22:46.347409 4769 net.cpp:434] mbox_conf <- conv17_2_mbox_conf_flat
I0417 09:22:46.347486 4769 net.cpp:408] mbox_conf -> mbox_conf
I0417 09:22:46.347519 4769 net.cpp:150] Setting up mbox_conf
I0417 09:22:46.347543 4769 net.cpp:157] Top shape: 24 3834 (92016)
I0417 09:22:46.347564 4769 net.cpp:165] Memory required for data: 3870479552
I0417 09:22:46.347585 4769 layer_factory.hpp:77] Creating layer mbox_priorbox
I0417 09:22:46.347604 4769 net.cpp:100] Creating Layer mbox_priorbox
I0417 09:22:46.347635 4769 net.cpp:434] mbox_priorbox <- conv11_mbox_priorbox
I0417 09:22:46.347661 4769 net.cpp:434] mbox_priorbox <- conv13_mbox_priorbox
I0417 09:22:46.347683 4769 net.cpp:434] mbox_priorbox <- conv14_2_mbox_priorbox
I0417 09:22:46.347705 4769 net.cpp:434] mbox_priorbox <- conv15_2_mbox_priorbox
I0417 09:22:46.347779 4769 net.cpp:434] mbox_priorbox <- conv16_2_mbox_priorbox
I0417 09:22:46.347802 4769 net.cpp:434] mbox_priorbox <- conv17_2_mbox_priorbox
I0417 09:22:46.347826 4769 net.cpp:408] mbox_priorbox -> mbox_priorbox
I0417 09:22:46.347851 4769 net.cpp:150] Setting up mbox_priorbox
I0417 09:22:46.347874 4769 net.cpp:157] Top shape: 1 2 7668 (15336)
I0417 09:22:46.347896 4769 net.cpp:165] Memory required for data: 3870540896
I0417 09:22:46.347905 4769 layer_factory.hpp:77] Creating layer mbox_loss
@ 0x7f6257ad0d78 caffe::GenerateBatchSamples()
@ 0x7f6257c61165 caffe::AnnotatedDataLayer<>::load_batch()
I0417 09:22:46.361572 4769 net.cpp:100] Creating Layer mbox_loss
I0417 09:22:46.361651 4769 net.cpp:434] mbox_loss <- mbox_loc
I0417 09:22:46.361696 4769 net.cpp:434] mbox_loss <- mbox_conf
I0417 09:22:46.361730 4769 net.cpp:434] mbox_loss <- mbox_priorbox
I0417 09:22:46.361764 4769 net.cpp:434] mbox_loss <- label
I0417 09:22:46.361807 4769 net.cpp:408] mbox_loss -> mbox_loss
@ 0x7f6257bcd2ff caffe::BasePrefetchingDataLayer<>::InternalThreadEntry()
I0417 09:22:46.368283 4769 layer_factory.hpp:77] Creating layer mbox_loss_smooth_L1_loc
I0417 09:22:46.368396 4769 layer_factory.hpp:77] Creating layer mbox_loss_softmax_conf
I0417 09:22:46.368449 4769 layer_factory.hpp:77] Creating layer mbox_loss_softmax_conf
I0417 09:22:46.368506 4769 net.cpp:150] Setting up mbox_loss
I0417 09:22:46.368549 4769 net.cpp:157] Top shape: (1)
I0417 09:22:46.368592 4769 net.cpp:160] with loss weight 1
I0417 09:22:46.368659 4769 net.cpp:165] Memory required for data: 3870540900
I0417 09:22:46.368705 4769 net.cpp:226] mbox_loss needs backward computation.
I0417 09:22:46.368747 4769 net.cpp:228] mbox_priorbox does not need backward computation.
I0417 09:22:46.368790 4769 net.cpp:226] mbox_conf needs backward computation.
I0417 09:22:46.368836 4769 net.cpp:226] mbox_loc needs backward computation.
I0417 09:22:46.368878 4769 net.cpp:228] conv17_2_mbox_priorbox does not need backward computation.
I0417 09:22:46.368921 4769 net.cpp:226] conv17_2_mbox_conf_flat needs backward computation.
I0417 09:22:46.368961 4769 net.cpp:226] conv17_2_mbox_conf_perm needs backward computation.
I0417 09:22:46.369004 4769 net.cpp:226] conv17_2_mbox_conf_new needs backward computation.
I0417 09:22:46.372097 4769 net.cpp:226] conv17_2_mbox_loc_flat needs backward computation.
I0417 09:22:46.372126 4769 net.cpp:226] conv17_2_mbox_loc_perm needs backward computation.
I0417 09:22:46.372139 4769 net.cpp:226] conv17_2_mbox_loc needs backward computation.
I0417 09:22:46.377497 4769 net.cpp:228] conv16_2_mbox_priorbox does not need backward computation.
I0417 09:22:46.377566 4769 net.cpp:226] conv16_2_mbox_conf_flat needs backward computation.
I0417 09:22:46.377617 4769 net.cpp:226] conv16_2_mbox_conf_perm needs backward computation.
I0417 09:22:46.377667 4769 net.cpp:226] conv16_2_mbox_conf_new needs backward computation.
I0417 09:22:46.377699 4769 net.cpp:226] conv16_2_mbox_loc_flat needs backward computation.
I0417 09:22:46.377732 4769 net.cpp:226] conv16_2_mbox_loc_perm needs backward computation.
I0417 09:22:46.377763 4769 net.cpp:226] conv16_2_mbox_loc needs backward computation.
I0417 09:22:46.377794 4769 net.cpp:228] conv15_2_mbox_priorbox does not need backward computation.
I0417 09:22:46.377826 4769 net.cpp:226] conv15_2_mbox_conf_flat needs backward computation.
I0417 09:22:46.377861 4769 net.cpp:226] conv15_2_mbox_conf_perm needs backward computation.
I0417 09:22:46.377949 4769 net.cpp:226] conv15_2_mbox_conf_new needs backward computation.
I0417 09:22:46.378037 4769 net.cpp:226] conv15_2_mbox_loc_flat needs backward computation.
I0417 09:22:46.378085 4769 net.cpp:226] conv15_2_mbox_loc_perm needs backward computation.
I0417 09:22:46.378123 4769 net.cpp:226] conv15_2_mbox_loc needs backward computation.
I0417 09:22:46.378180 4769 net.cpp:228] conv14_2_mbox_priorbox does not need backward computation.
I0417 09:22:46.378232 4769 net.cpp:226] conv14_2_mbox_conf_flat needs backward computation.
I0417 09:22:46.378273 4769 net.cpp:226] conv14_2_mbox_conf_perm needs backward computation.
I0417 09:22:46.378337 4769 net.cpp:226] conv14_2_mbox_conf_new needs backward computation.
I0417 09:22:46.378497 4769 net.cpp:226] conv14_2_mbox_loc_flat needs backward computation.
I0417 09:22:46.378556 4769 net.cpp:226] conv14_2_mbox_loc_perm needs backward computation.
I0417 09:22:46.378588 4769 net.cpp:226] conv14_2_mbox_loc needs backward computation.
I0417 09:22:46.378619 4769 net.cpp:228] conv13_mbox_priorbox does not need backward computation.
I0417 09:22:46.378659 4769 net.cpp:226] conv13_mbox_conf_flat needs backward computation.
I0417 09:22:46.378690 4769 net.cpp:226] conv13_mbox_conf_perm needs backward computation.
I0417 09:22:46.378721 4769 net.cpp:226] conv13_mbox_conf_new needs backward computation.
I0417 09:22:46.378753 4769 net.cpp:226] conv13_mbox_loc_flat needs backward computation.
I0417 09:22:46.378784 4769 net.cpp:226] conv13_mbox_loc_perm needs backward computation.
I0417 09:22:46.378815 4769 net.cpp:226] conv13_mbox_loc needs backward computation.
I0417 09:22:46.378846 4769 net.cpp:228] conv11_mbox_priorbox does not need backward computation.
I0417 09:22:46.378878 4769 net.cpp:226] conv11_mbox_conf_flat needs backward computation.
I0417 09:22:46.378911 4769 net.cpp:226] conv11_mbox_conf_perm needs backward computation.
I0417 09:22:46.378942 4769 net.cpp:226] conv11_mbox_conf_new needs backward computation.
I0417 09:22:46.378973 4769 net.cpp:226] conv11_mbox_loc_flat needs backward computation.
I0417 09:22:46.379065 4769 net.cpp:226] conv11_mbox_loc_perm needs backward computation.
I0417 09:22:46.379117 4769 net.cpp:226] conv11_mbox_loc needs backward computation.
I0417 09:22:46.379148 4769 net.cpp:226] conv17_2_conv17_2/relu_0_split needs backward computation.
I0417 09:22:46.379179 4769 net.cpp:226] conv17_2/relu needs backward computation.
I0417 09:22:46.379210 4769 net.cpp:226] conv17_2/scale needs backward computation.
I0417 09:22:46.379240 4769 net.cpp:226] conv17_2/bn needs backward computation.
I0417 09:22:46.379271 4769 net.cpp:226] conv17_2 needs backward computation.
I0417 09:22:46.379302 4769 net.cpp:226] conv17_1/relu needs backward computation.
I0417 09:22:46.379333 4769 net.cpp:226] conv17_1/scale needs backward computation.
I0417 09:22:46.379364 4769 net.cpp:226] conv17_1/bn needs backward computation.
I0417 09:22:46.379393 4769 net.cpp:226] conv17_1 needs backward computation.
I0417 09:22:46.379428 4769 net.cpp:226] conv16_2_conv16_2/relu_0_split needs backward computation.
I0417 09:22:46.379462 4769 net.cpp:226] conv16_2/relu needs backward computation.
I0417 09:22:46.379483 4769 net.cpp:226] conv16_2/scale needs backward computation.
I0417 09:22:46.379503 4769 net.cpp:226] conv16_2/bn needs backward computation.
I0417 09:22:46.379542 4769 net.cpp:226] conv16_2 needs backward computation.
I0417 09:22:46.379633 4769 net.cpp:226] conv16_1/relu needs backward computation.
I0417 09:22:46.379683 4769 net.cpp:226] conv16_1/scale needs backward computation.
I0417 09:22:46.379712 4769 net.cpp:226] conv16_1/bn needs backward computation.
I0417 09:22:46.379743 4769 net.cpp:226] conv16_1 needs backward computation.
I0417 09:22:46.379753 4769 net.cpp:226] conv15_2_conv15_2/relu_0_split needs backward computation.
I0417 09:22:46.379773 4769 net.cpp:226] conv15_2/relu needs backward computation.
I0417 09:22:46.379781 4769 net.cpp:226] conv15_2/scale needs backward computation.
I0417 09:22:46.379801 4769 net.cpp:226] conv15_2/bn needs backward computation.
I0417 09:22:46.380120 4769 net.cpp:226] conv15_2 needs backward computation.
I0417 09:22:46.380134 4769 net.cpp:226] conv15_1/relu needs backward computation.
I0417 09:22:46.380157 4769 net.cpp:226] conv15_1/scale needs backward computation.
I0417 09:22:46.380165 4769 net.cpp:226] conv15_1/bn needs backward computation.
I0417 09:22:46.380185 4769 net.cpp:226] conv15_1 needs backward computation.
I0417 09:22:46.380220 4769 net.cpp:226] conv14_2_conv14_2/relu_0_split needs backward computation.
I0417 09:22:46.380229 4769 net.cpp:226] conv14_2/relu needs backward computation.
I0417 09:22:46.380236 4769 net.cpp:226] conv14_2/scale needs backward computation.
I0417 09:22:46.380312 4769 net.cpp:226] conv14_2/bn needs backward computation.
I0417 09:22:46.380347 4769 net.cpp:226] conv14_2 needs backward computation.
I0417 09:22:46.380368 4769 net.cpp:226] conv14_1/relu needs backward computation.
I0417 09:22:46.380388 4769 net.cpp:226] conv14_1/scale needs backward computation.
I0417 09:22:46.380395 4769 net.cpp:226] conv14_1/bn needs backward computation.
I0417 09:22:46.380415 4769 net.cpp:226] conv14_1 needs backward computation.
I0417 09:22:46.380424 4769 net.cpp:226] conv13_conv13/relu_0_split needs backward computation.
I0417 09:22:46.380443 4769 net.cpp:226] conv13/relu needs backward computation.
I0417 09:22:46.380462 4769 net.cpp:226] conv13/scale needs backward computation.
I0417 09:22:46.380470 4769 net.cpp:226] conv13/bn needs backward computation.
I0417 09:22:46.380491 4769 net.cpp:226] conv13 needs backward computation.
I0417 09:22:46.380498 4769 net.cpp:226] conv13/dw/relu needs backward computation.
I0417 09:22:46.380517 4769 net.cpp:226] conv13/dw/scale needs backward computation.
I0417 09:22:46.380525 4769 net.cpp:226] conv13/dw/bn needs backward computation.
I0417 09:22:46.380544 4769 net.cpp:226] conv13/dw needs backward computation.
I0417 09:22:46.380551 4769 net.cpp:226] conv12/relu needs backward computation.
I0417 09:22:46.380595 4769 net.cpp:226] conv12/scale needs backward computation.
I0417 09:22:46.380831 4769 net.cpp:226] conv12/bn needs backward computation.
I0417 09:22:46.381064 4769 net.cpp:226] conv12 needs backward computation.
I0417 09:22:46.381095 4769 net.cpp:226] conv12/dw/relu needs backward computation.
I0417 09:22:46.381116 4769 net.cpp:226] conv12/dw/scale needs backward computation.
I0417 09:22:46.381125 4769 net.cpp:226] conv12/dw/bn needs backward computation.
I0417 09:22:46.381181 4769 net.cpp:226] conv12/dw needs backward computation.
I0417 09:22:46.381192 4769 net.cpp:226] conv11_conv11/relu_0_split needs backward computation.
I0417 09:22:46.381199 4769 net.cpp:226] conv11/relu needs backward computation.
I0417 09:22:46.381208 4769 net.cpp:226] conv11/scale needs backward computation.
I0417 09:22:46.381219 4769 net.cpp:226] conv11/bn needs backward computation.
I0417 09:22:46.381319 4769 net.cpp:226] conv11 needs backward computation.
I0417 09:22:46.381366 4769 net.cpp:226] conv11/dw/relu needs backward computation.
I0417 09:22:46.381388 4769 net.cpp:226] conv11/dw/scale needs backward computation.
I0417 09:22:46.381408 4769 net.cpp:226] conv11/dw/bn needs backward computation.
I0417 09:22:46.381417 4769 net.cpp:226] conv11/dw needs backward computation.
I0417 09:22:46.381436 4769 net.cpp:226] conv10/relu needs backward computation.
I0417 09:22:46.381444 4769 net.cpp:226] conv10/scale needs backward computation.
I0417 09:22:46.381464 4769 net.cpp:226] conv10/bn needs backward computation.
I0417 09:22:46.381470 4769 net.cpp:226] conv10 needs backward computation.
I0417 09:22:46.381490 4769 net.cpp:226] conv10/dw/relu needs backward computation.
I0417 09:22:46.381510 4769 net.cpp:226] conv10/dw/scale needs backward computation.
I0417 09:22:46.381518 4769 net.cpp:226] conv10/dw/bn needs backward computation.
I0417 09:22:46.381537 4769 net.cpp:226] conv10/dw needs backward computation.
I0417 09:22:46.381546 4769 net.cpp:226] conv9/relu needs backward computation.
I0417 09:22:46.381565 4769 net.cpp:226] conv9/scale needs backward computation.
I0417 09:22:46.381573 4769 net.cpp:226] conv9/bn needs backward computation.
I0417 09:22:46.381593 4769 net.cpp:226] conv9 needs backward computation.
I0417 09:22:46.381613 4769 net.cpp:226] conv9/dw/relu needs backward computation.
I0417 09:22:46.381621 4769 net.cpp:226] conv9/dw/scale needs backward computation.
I0417 09:22:46.381641 4769 net.cpp:226] conv9/dw/bn needs backward computation.
I0417 09:22:46.381649 4769 net.cpp:226] conv9/dw needs backward computation.
I0417 09:22:46.381669 4769 net.cpp:226] conv8/relu needs backward computation.
I0417 09:22:46.381675 4769 net.cpp:226] conv8/scale needs backward computation.
I0417 09:22:46.381695 4769 net.cpp:226] conv8/bn needs backward computation.
I0417 09:22:46.381810 4769 net.cpp:226] conv8 needs backward computation.
I0417 09:22:46.381844 4769 net.cpp:226] conv8/dw/relu needs backward computation.
I0417 09:22:46.381878 4769 net.cpp:226] conv8/dw/scale needs backward computation.
I0417 09:22:46.381909 4769 net.cpp:226] conv8/dw/bn needs backward computation.
I0417 09:22:46.381939 4769 net.cpp:226] conv8/dw needs backward computation.
I0417 09:22:46.381960 4769 net.cpp:226] conv7/relu needs backward computation.
I0417 09:22:46.381981 4769 net.cpp:226] conv7/scale needs backward computation.
I0417 09:22:46.382000 4769 net.cpp:226] conv7/bn needs backward computation.
I0417 09:22:46.382009 4769 net.cpp:226] conv7 needs backward computation.
I0417 09:22:46.382027 4769 net.cpp:226] conv7/dw/relu needs backward computation.
I0417 09:22:46.382035 4769 net.cpp:226] conv7/dw/scale needs backward computation.
I0417 09:22:46.382055 4769 net.cpp:226] conv7/dw/bn needs backward computation.
I0417 09:22:46.382061 4769 net.cpp:226] conv7/dw needs backward computation.
I0417 09:22:46.382081 4769 net.cpp:226] conv6/relu needs backward computation.
I0417 09:22:46.382102 4769 net.cpp:226] conv6/scale needs backward computation.
I0417 09:22:46.382108 4769 net.cpp:226] conv6/bn needs backward computation.
I0417 09:22:46.382128 4769 net.cpp:226] conv6 needs backward computation.
I0417 09:22:46.382135 4769 net.cpp:226] conv6/dw/relu needs backward computation.
I0417 09:22:46.382155 4769 net.cpp:226] conv6/dw/scale needs backward computation.
I0417 09:22:46.382162 4769 net.cpp:226] conv6/dw/bn needs backward computation.
I0417 09:22:46.382181 4769 net.cpp:226] conv6/dw needs backward computation.
I0417 09:22:46.382189 4769 net.cpp:226] conv5/relu needs backward computation.
I0417 09:22:46.382208 4769 net.cpp:226] conv5/scale needs backward computation.
I0417 09:22:46.382216 4769 net.cpp:226] conv5/bn needs backward computation.
I0417 09:22:46.382236 4769 net.cpp:226] conv5 needs backward computation.
I0417 09:22:46.382328 4769 net.cpp:226] conv5/dw/relu needs backward computation.
I0417 09:22:46.382344 4769 net.cpp:226] conv5/dw/scale needs backward computation.
I0417 09:22:46.382351 4769 net.cpp:226] conv5/dw/bn needs backward computation.
I0417 09:22:46.382359 4769 net.cpp:226] conv5/dw needs backward computation.
I0417 09:22:46.382365 4769 net.cpp:226] conv4/relu needs backward computation.
I0417 09:22:46.382388 4769 net.cpp:226] conv4/scale needs backward computation.
I0417 09:22:46.382412 4769 net.cpp:226] conv4/bn needs backward computation.
I0417 09:22:46.382419 4769 net.cpp:226] conv4 needs backward computation.
I0417 09:22:46.382439 4769 net.cpp:226] conv4/dw/relu needs backward computation.
I0417 09:22:46.382447 4769 net.cpp:226] conv4/dw/scale needs backward computation.
I0417 09:22:46.382467 4769 net.cpp:226] conv4/dw/bn needs backward computation.
I0417 09:22:46.382473 4769 net.cpp:226] conv4/dw needs backward computation.
I0417 09:22:46.382493 4769 net.cpp:226] conv3/relu needs backward computation.
I0417 09:22:46.382500 4769 net.cpp:226] conv3/scale needs backward computation.
I0417 09:22:46.382520 4769 net.cpp:226] conv3/bn needs backward computation.
I0417 09:22:46.382527 4769 net.cpp:226] conv3 needs backward computation.
I0417 09:22:46.382547 4769 net.cpp:226] conv3/dw/relu needs backward computation.
I0417 09:22:46.382566 4769 net.cpp:226] conv3/dw/scale needs backward computation.
I0417 09:22:46.382575 4769 net.cpp:226] conv3/dw/bn needs backward computation.
I0417 09:22:46.382593 4769 net.cpp:226] conv3/dw needs backward computation.
I0417 09:22:46.382601 4769 net.cpp:226] conv2/relu needs backward computation.
I0417 09:22:46.382620 4769 net.cpp:226] conv2/scale needs backward computation.
I0417 09:22:46.382627 4769 net.cpp:226] conv2/bn needs backward computation.
I0417 09:22:46.382647 4769 net.cpp:226] conv2 needs backward computation.
I0417 09:22:46.382655 4769 net.cpp:226] conv2/dw/relu needs backward computation.
I0417 09:22:46.382678 4769 net.cpp:226] conv2/dw/scale needs backward computation.
I0417 09:22:46.382728 4769 net.cpp:226] conv2/dw/bn needs backward computation.
I0417 09:22:46.382750 4769 net.cpp:226] conv2/dw needs backward computation.
I0417 09:22:46.382769 4769 net.cpp:226] conv1/relu needs backward computation.
I0417 09:22:46.382777 4769 net.cpp:226] conv1/scale needs backward computation.
I0417 09:22:46.382872 4769 net.cpp:226] conv1/bn needs backward computation.
I0417 09:22:46.382882 4769 net.cpp:226] conv1 needs backward computation.
I0417 09:22:46.382889 4769 net.cpp:226] conv1/dw/relu needs backward computation.
I0417 09:22:46.382896 4769 net.cpp:226] conv1/dw/scale needs backward computation.
I0417 09:22:46.382903 4769 net.cpp:226] conv1/dw/bn needs backward computation.
I0417 09:22:46.382910 4769 net.cpp:226] conv1/dw needs backward computation.
I0417 09:22:46.382916 4769 net.cpp:226] conv0/relu needs backward computation.
I0417 09:22:46.382923 4769 net.cpp:226] conv0/scale needs backward computation.
I0417 09:22:46.382930 4769 net.cpp:226] conv0/bn needs backward computation.
I0417 09:22:46.382936 4769 net.cpp:226] conv0 needs backward computation.
I0417 09:22:46.382946 4769 net.cpp:228] data_data_0_split does not need backward computation.
I0417 09:22:46.382953 4769 net.cpp:228] data does not need backward computation.
I0417 09:22:46.382961 4769 net.cpp:270] This network produces output mbox_loss
I0417 09:22:46.383066 4769 net.cpp:283] Network initialization done.
@ 0x7f62560c71b5 (unknown)
@ 0x7f6253d63669 start_thread
I0417 09:22:46.393532 4769 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: example/MobileNetSSD_test.prototxt
I0417 09:22:46.393738 4769 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I0417 09:22:46.393821 4769 solver.cpp:196] Creating test net (#0) specified by test_net file: example/MobileNetSSD_test.prototxt
I0417 09:22:46.395073 4769 net.cpp:58] Initializing net from parameters:
name: "MobileNet-SSD"
state {
phase: TEST
}
layer {
name: "data"
type: "AnnotatedData"
top: "data"
top: "label"
include {
phase: TEST
}
transform_param {
scale: 0.007843
mean_value: 127.5
mean_value: 127.5
mean_value: 127.5
resize_param {
prob: 1
resize_mode: WARP
height: 300
width: 300
interp_mode: LINEAR
}
}
data_param {
source: "test_lmdb"
batch_size: 8
backend: LMDB
}
annotated_data_param {
batch_sampler {
}
label_map_file: "labelmap.prototxt"
}
}
layer {
name: "conv0"
type: "Convolution"
bottom: "data"
top: "conv0"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv0/bn"
type: "BatchNorm"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv0/scale"
type: "Scale"
bottom: "conv0"
top: "conv0"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv0/relu"
type: "ReLU"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv1/dw"
type: "Convolution"
bottom: "conv0"
top: "conv1/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
group: 32
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv1/dw/bn"
type: "BatchNorm"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1/dw/scale"
type: "Scale"
bottom: "conv1/dw"
top: "conv1/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/dw/relu"
type: "ReLU"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1"
type: "Convolution"
bottom: "conv1/dw"
top: "conv1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv1/scale"
type: "Scale"
bottom: "conv1"
top: "conv1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/relu"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv2/dw"
type: "Convolution"
bottom: "conv1"
top: "conv2/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
group: 64
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv2/dw/bn"
type: "BatchNorm"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2/dw/scale"
type: "Scale"
bottom: "conv2/dw"
top: "conv2/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/dw/relu"
type: "ReLU"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2"
type: "Convolution"
bottom: "conv2/dw"
top: "conv2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2/bn"
type: "BatchNorm"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv2/scale"
type: "Scale"
bottom: "conv2"
top: "conv2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/relu"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv3/dw"
type: "Convolution"
bottom: "conv2"
top: "conv3/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv3/dw/bn"
type: "BatchNorm"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3/dw/scale"
type: "Scale"
bottom: "conv3/dw"
top: "conv3/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/dw/relu"
type: "ReLU"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3"
type: "Convolution"
bottom: "conv3/dw"
top: "conv3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3/bn"
type: "BatchNorm"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv3/scale"
type: "Scale"
bottom: "conv3"
top: "conv3"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/relu"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv4/dw"
type: "Convolution"
bottom: "conv3"
top: "conv4/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv4/dw/bn"
type: "BatchNorm"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4/dw/scale"
type: "Scale"
bottom: "conv4/dw"
top: "conv4/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/dw/relu"
type: "ReLU"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv4/dw"
top: "conv4"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4/bn"
type: "BatchNorm"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv4/scale"
type: "Scale"
bottom: "conv4"
top: "conv4"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/relu"
type: "ReLU"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv5/dw"
type: "Convolution"
bottom: "conv4"
top: "conv5/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv5/dw/bn"
type: "BatchNorm"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5/dw/scale"
type: "Scale"
bottom: "conv5/dw"
top: "conv5/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/dw/relu"
type: "ReLU"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv5/dw"
top: "conv5"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv5/bn"
type: "BatchNorm"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv5/scale"
type: "Scale"
bottom: "conv5"
top: "conv5"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/relu"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv6/dw"
type: "Convolution"
bottom: "conv5"
top: "conv6/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv6/dw/bn"
type: "BatchNorm"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6/dw/scale"
type: "Scale"
bottom: "conv6/dw"
top: "conv6/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/dw/relu"
type: "ReLU"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6"
type: "Convolution"
bottom: "conv6/dw"
top: "conv6"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv6/bn"
type: "BatchNorm"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv6/scale"
type: "Scale"
bottom: "conv6"
top: "conv6"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/relu"
type: "ReLU"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv7/dw"
type: "Convolution"
bottom: "conv6"
top: "conv7/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv7/dw/bn"
type: "BatchNorm"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7/dw/scale"
type: "Scale"
bottom: "conv7/dw"
top: "conv7/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/dw/relu"
type: "ReLU"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7"
type: "Convolution"
bottom: "conv7/dw"
top: "conv7"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv7/bn"
type: "BatchNorm"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv7/scale"
type: "Scale"
bottom: "conv7"
top: "conv7"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/relu"
type: "ReLU"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv8/dw"
type: "Convolution"
bottom: "conv7"
top: "conv8/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv8/dw/bn"
type: "BatchNorm"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8/dw/scale"
type: "Scale"
bottom: "conv8/dw"
top: "conv8/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/dw/relu"
type: "ReLU"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8"
type: "Convolution"
bottom: "conv8/dw"
top: "conv8"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv8/bn"
type: "BatchNorm"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv8/scale"
type: "Scale"
bottom: "conv8"
top: "conv8"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/relu"
type: "ReLU"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv9/dw"
type: "Convolution"
bottom: "conv8"
top: "conv9/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv9/dw/bn"
type: "BatchNorm"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9/dw/scale"
type: "Scale"
bottom: "conv9/dw"
top: "conv9/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/dw/relu"
type: "ReLU"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9"
type: "Convolution"
bottom: "conv9/dw"
top: "conv9"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv9/bn"
type: "BatchNorm"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv9/scale"
type: "Scale"
bottom: "conv9"
top: "conv9"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/relu"
type: "ReLU"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv10/dw"
type: "Convolution"
bottom: "conv9"
top: "conv10/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv10/dw/bn"
type: "BatchNorm"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10/dw/scale"
type: "Scale"
bottom: "conv10/dw"
top: "conv10/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/dw/relu"
type: "ReLU"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10"
type: "Convolution"
bottom: "conv10/dw"
top: "conv10"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv10/bn"
type: "BatchNorm"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv10/scale"
type: "Scale"
bottom: "conv10"
top: "conv10"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/relu"
type: "ReLU"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv11/dw"
type: "Convolution"
bottom: "conv10"
top: "conv11/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv11/dw/bn"
type: "BatchNorm"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11/dw/scale"
type: "Scale"
bottom: "conv11/dw"
top: "conv11/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/dw/relu"
type: "ReLU"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11"
type: "Convolution"
bottom: "conv11/dw"
top: "conv11"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv11/bn"
type: "BatchNorm"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv11/scale"
type: "Scale"
bottom: "conv11"
top: "conv11"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/relu"
type: "ReLU"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv12/dw"
type: "Convolution"
bottom: "conv11"
top: "conv12/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv12/dw/bn"
type: "BatchNorm"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12/dw/scale"
type: "Scale"
bottom: "conv12/dw"
top: "conv12/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/dw/relu"
type: "ReLU"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12"
type: "Convolution"
bottom: "conv12/dw"
top: "conv12"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv12/bn"
type: "BatchNorm"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv12/scale"
type: "Scale"
bottom: "conv12"
top: "conv12"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/relu"
type: "ReLU"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv13/dw"
type: "Convolution"
bottom: "conv12"
top: "conv13/dw"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
bias_term: false
pad: 1
kernel_size: 3
group: 1024
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv13/dw/bn"
type: "BatchNorm"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13/dw/scale"
type: "Scale"
bottom: "conv13/dw"
top: "conv13/dw"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/dw/relu"
type: "ReLU"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13"
type: "Convolution"
bottom: "conv13/dw"
top: "conv13"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv13/bn"
type: "BatchNorm"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv13/scale"
type: "Scale"
bottom: "conv13"
top: "conv13"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/relu"
type: "ReLU"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv14_1"
type: "Convolution"
bottom: "conv13"
top: "conv14_1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_1/bn"
type: "BatchNorm"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_1/scale"
type: "Scale"
bottom: "conv14_1"
top: "conv14_1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_1/relu"
type: "ReLU"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_2"
type: "Convolution"
bottom: "conv14_1"
top: "conv14_2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_2/bn"
type: "BatchNorm"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv14_2/scale"
type: "Scale"
bottom: "conv14_2"
top: "conv14_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_2/relu"
type: "ReLU"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv15_1"
type: "Convolution"
bottom: "conv14_2"
top: "conv15_1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_1/bn"
type: "BatchNorm"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_1/scale"
type: "Scale"
bottom: "conv15_1"
top: "conv15_1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_1/relu"
type: "ReLU"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_2"
type: "Convolution"
bottom: "conv15_1"
top: "conv15_2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_2/bn"
type: "BatchNorm"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv15_2/scale"
type: "Scale"
bottom: "conv15_2"
top: "conv15_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_2/relu"
type: "ReLU"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv16_1"
type: "Convolution"
bottom: "conv15_2"
top: "conv16_1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_1/bn"
type: "BatchNorm"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_1/scale"
type: "Scale"
bottom: "conv16_1"
top: "conv16_1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_1/relu"
type: "ReLU"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_2"
type: "Convolution"
bottom: "conv16_1"
top: "conv16_2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_2/bn"
type: "BatchNorm"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv16_2/scale"
type: "Scale"
bottom: "conv16_2"
top: "conv16_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_2/relu"
type: "ReLU"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv17_1"
type: "Convolution"
bottom: "conv16_2"
top: "conv17_1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_1/bn"
type: "BatchNorm"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_1/scale"
type: "Scale"
bottom: "conv17_1"
top: "conv17_1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_1/relu"
type: "ReLU"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_2"
type: "Convolution"
bottom: "conv17_1"
top: "conv17_2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_2/bn"
type: "BatchNorm"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv17_2/scale"
type: "Scale"
bottom: "conv17_2"
top: "conv17_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_2/relu"
type: "ReLU"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv11_mbox_loc"
type: "Convolution"
bottom: "conv11"
top: "conv11_mbox_loc"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 12
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv11_mbox_loc_perm"
type: "Permute"
bottom: "conv11_mbox_loc"
top: "conv11_mbox_loc_perm"
permute_param {
order: 0
order: 2
order: 3
order: 1
}
}
layer {
name: "conv11_mbox_loc_flat"
type: "Flatten"
bottom: "conv11_mbox_loc_perm"
top: "conv11_mbox_loc_flat"
flatten_param {
axis: 1
}
}
layer {
name: "conv11_mbox_conf_new"
type: "Convolution"
bottom: "conv11"
top: "conv11_mbox_conf"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 6
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv11_mbox_conf_perm"
type: "Permute"
bottom: "conv11_mbox_conf"
top: "conv11_mbox_conf_perm"
permute_param {
order: 0
order: 2
order: 3
order: 1
}
}
layer {
name: "conv11_mbox_conf_flat"
type: "Flatten"
bottom: "conv11_mbox_conf_perm"
top: "conv11_mbox_conf_flat"
flatten_param {
axis: 1
}
}
layer {
name: "conv11_mbox_priorbox"
type: "PriorBox"
bottom: "conv11"
bottom: "data"
top: "conv11_mbox_priorbox"
prior_box_param {
min_size: 60
aspect_ratio: 2
flip: true
clip: false
variance: 0.1
variance: 0.1
variance: 0.2
variance: 0.2
offset: 0.5
}
}
layer {
name: "conv13_mbox_loc"
type: "Convolution"
bottom: "conv13"
top: "conv13_mbox_loc"
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: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv13_mbox_loc_perm"
type: "Permute"
bottom: "conv13_mbox_loc"
top: "conv13_mbox_loc_perm"
permute_param {
order: 0
order: 2
order: 3
order: 1
}
}
layer {
name: "conv13_mbox_loc_flat"
type: "Flatten"
bottom: "conv13_mbox_loc_perm"
top: "conv13_mbox_loc_flat"
flatten_param {
axis: 1
}
}
layer {
name: "conv13_mbox_conf_new"
type: "Convolution"
bottom: "conv13"
top: "conv13_mbox_conf"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 12
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv13_mbox_conf_perm"
type: "Permute"
bottom: "conv13_mbox_conf"
top: "conv13_mbox_conf_perm"
permute_param {
order: 0
@ 0x7f6256d5e323 clone
Aborted (core dumped)
admin1@admin1-PC:~/fly/caffe/examples/MobileNet-SSD$ ./train.sh
I0417 09:22:53.531916 4776 caffe.cpp:210] Use CPU.
I0417 09:22:53.532629 4776 solver.cpp:63] Initializing solver from parameters:
train_net: "example/MobileNetSSD_train.prototxt"
test_net: "example/MobileNetSSD_test.prototxt"
test_iter: 673
test_interval: 10000
base_lr: 0.0005
display: 10
max_iter: 120000
lr_policy: "multistep"
gamma: 0.5
weight_decay: 5e-05
snapshot: 1000
snapshot_prefix: "snapshot/mobilenet"
solver_mode: CPU
debug_info: false
train_state {
level: 0
stage: ""
}
snapshot_after_train: true
test_initialization: false
average_loss: 10
stepvalue: 20000
stepvalue: 40000
iter_size: 1
type: "RMSProp"
eval_type: "detection"
ap_version: "11point"
I0417 09:22:53.533614 4776 solver.cpp:96] Creating training net from train_net file: example/MobileNetSSD_train.prototxt
I0417 09:22:53.534977 4776 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: example/MobileNetSSD_train.prototxt
I0417 09:22:53.535037 4776 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I0417 09:22:53.535372 4776 net.cpp:58] Initializing net from parameters:
name: "MobileNet-SSD"
state {
phase: TRAIN
level: 0
stage: ""
}
layer {
name: "data"
type: "AnnotatedData"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
scale: 0.007843
mirror: true
mean_value: 127.5
mean_value: 127.5
mean_value: 127.5
resize_param {
prob: 1
resize_mode: WARP
height: 300
width: 300
interp_mode: LINEAR
interp_mode: AREA
interp_mode: NEAREST
interp_mode: CUBIC
interp_mode: LANCZOS4
}
emit_constraint {
emit_type: CENTER
}
distort_param {
brightness_prob: 0.5
brightness_delta: 32
contrast_prob: 0.5
contrast_lower: 0.5
contrast_upper: 1.5
hue_prob: 0.5
hue_delta: 18
saturation_prob: 0.5
saturation_lower: 0.5
saturation_upper: 1.5
random_order_prob: 0
}
expand_param {
prob: 0.5
max_expand_ratio: 4
}
}
data_param {
source: "trainval_lmdb/"
batch_size: 24
backend: LMDB
}
annotated_data_param {
batch_sampler {
max_sample: 1
max_trials: 1
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.1
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.3
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.5
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.7
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
min_jaccard_overlap: 0.9
}
max_sample: 1
max_trials: 50
}
batch_sampler {
sampler {
min_scale: 0.3
max_scale: 1
min_aspect_ratio: 0.5
max_aspect_ratio: 2
}
sample_constraint {
max_jaccard_overlap: 1
}
max_sample: 1
max_trials: 50
}
label_map_file: "labelmap.prototxt"
}
}
layer {
name: "conv0"
type: "Convolution"
bottom: "data"
top: "conv0"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv0/bn"
type: "BatchNorm"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv0/scale"
type: "Scale"
bottom: "conv0"
top: "conv0"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv0/relu"
type: "ReLU"
bottom: "conv0"
top: "conv0"
}
layer {
name: "conv1/dw"
type: "Convolution"
bottom: "conv0"
top: "conv1/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 32
bias_term: false
pad: 1
kernel_size: 3
group: 32
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv1/dw/bn"
type: "BatchNorm"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1/dw/scale"
type: "Scale"
bottom: "conv1/dw"
top: "conv1/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/dw/relu"
type: "ReLU"
bottom: "conv1/dw"
top: "conv1/dw"
}
layer {
name: "conv1"
type: "Convolution"
bottom: "conv1/dw"
top: "conv1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv1/scale"
type: "Scale"
bottom: "conv1"
top: "conv1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1/relu"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "conv2/dw"
type: "Convolution"
bottom: "conv1"
top: "conv2/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
pad: 1
kernel_size: 3
group: 64
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv2/dw/bn"
type: "BatchNorm"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2/dw/scale"
type: "Scale"
bottom: "conv2/dw"
top: "conv2/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/dw/relu"
type: "ReLU"
bottom: "conv2/dw"
top: "conv2/dw"
}
layer {
name: "conv2"
type: "Convolution"
bottom: "conv2/dw"
top: "conv2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2/bn"
type: "BatchNorm"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv2/scale"
type: "Scale"
bottom: "conv2"
top: "conv2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2/relu"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "conv3/dw"
type: "Convolution"
bottom: "conv2"
top: "conv3/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv3/dw/bn"
type: "BatchNorm"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3/dw/scale"
type: "Scale"
bottom: "conv3/dw"
top: "conv3/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/dw/relu"
type: "ReLU"
bottom: "conv3/dw"
top: "conv3/dw"
}
layer {
name: "conv3"
type: "Convolution"
bottom: "conv3/dw"
top: "conv3"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3/bn"
type: "BatchNorm"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv3/scale"
type: "Scale"
bottom: "conv3"
top: "conv3"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3/relu"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv4/dw"
type: "Convolution"
bottom: "conv3"
top: "conv4/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
group: 128
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv4/dw/bn"
type: "BatchNorm"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4/dw/scale"
type: "Scale"
bottom: "conv4/dw"
top: "conv4/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/dw/relu"
type: "ReLU"
bottom: "conv4/dw"
top: "conv4/dw"
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv4/dw"
top: "conv4"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv4/bn"
type: "BatchNorm"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv4/scale"
type: "Scale"
bottom: "conv4"
top: "conv4"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv4/relu"
type: "ReLU"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv5/dw"
type: "Convolution"
bottom: "conv4"
top: "conv5/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv5/dw/bn"
type: "BatchNorm"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5/dw/scale"
type: "Scale"
bottom: "conv5/dw"
top: "conv5/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/dw/relu"
type: "ReLU"
bottom: "conv5/dw"
top: "conv5/dw"
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv5/dw"
top: "conv5"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv5/bn"
type: "BatchNorm"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv5/scale"
type: "Scale"
bottom: "conv5"
top: "conv5"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5/relu"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "conv6/dw"
type: "Convolution"
bottom: "conv5"
top: "conv6/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
group: 256
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv6/dw/bn"
type: "BatchNorm"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6/dw/scale"
type: "Scale"
bottom: "conv6/dw"
top: "conv6/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/dw/relu"
type: "ReLU"
bottom: "conv6/dw"
top: "conv6/dw"
}
layer {
name: "conv6"
type: "Convolution"
bottom: "conv6/dw"
top: "conv6"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv6/bn"
type: "BatchNorm"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv6/scale"
type: "Scale"
bottom: "conv6"
top: "conv6"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv6/relu"
type: "ReLU"
bottom: "conv6"
top: "conv6"
}
layer {
name: "conv7/dw"
type: "Convolution"
bottom: "conv6"
top: "conv7/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv7/dw/bn"
type: "BatchNorm"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7/dw/scale"
type: "Scale"
bottom: "conv7/dw"
top: "conv7/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/dw/relu"
type: "ReLU"
bottom: "conv7/dw"
top: "conv7/dw"
}
layer {
name: "conv7"
type: "Convolution"
bottom: "conv7/dw"
top: "conv7"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv7/bn"
type: "BatchNorm"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv7/scale"
type: "Scale"
bottom: "conv7"
top: "conv7"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv7/relu"
type: "ReLU"
bottom: "conv7"
top: "conv7"
}
layer {
name: "conv8/dw"
type: "Convolution"
bottom: "conv7"
top: "conv8/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv8/dw/bn"
type: "BatchNorm"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8/dw/scale"
type: "Scale"
bottom: "conv8/dw"
top: "conv8/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/dw/relu"
type: "ReLU"
bottom: "conv8/dw"
top: "conv8/dw"
}
layer {
name: "conv8"
type: "Convolution"
bottom: "conv8/dw"
top: "conv8"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv8/bn"
type: "BatchNorm"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv8/scale"
type: "Scale"
bottom: "conv8"
top: "conv8"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv8/relu"
type: "ReLU"
bottom: "conv8"
top: "conv8"
}
layer {
name: "conv9/dw"
type: "Convolution"
bottom: "conv8"
top: "conv9/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv9/dw/bn"
type: "BatchNorm"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9/dw/scale"
type: "Scale"
bottom: "conv9/dw"
top: "conv9/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/dw/relu"
type: "ReLU"
bottom: "conv9/dw"
top: "conv9/dw"
}
layer {
name: "conv9"
type: "Convolution"
bottom: "conv9/dw"
top: "conv9"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv9/bn"
type: "BatchNorm"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv9/scale"
type: "Scale"
bottom: "conv9"
top: "conv9"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv9/relu"
type: "ReLU"
bottom: "conv9"
top: "conv9"
}
layer {
name: "conv10/dw"
type: "Convolution"
bottom: "conv9"
top: "conv10/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv10/dw/bn"
type: "BatchNorm"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10/dw/scale"
type: "Scale"
bottom: "conv10/dw"
top: "conv10/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/dw/relu"
type: "ReLU"
bottom: "conv10/dw"
top: "conv10/dw"
}
layer {
name: "conv10"
type: "Convolution"
bottom: "conv10/dw"
top: "conv10"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv10/bn"
type: "BatchNorm"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv10/scale"
type: "Scale"
bottom: "conv10"
top: "conv10"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv10/relu"
type: "ReLU"
bottom: "conv10"
top: "conv10"
}
layer {
name: "conv11/dw"
type: "Convolution"
bottom: "conv10"
top: "conv11/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv11/dw/bn"
type: "BatchNorm"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11/dw/scale"
type: "Scale"
bottom: "conv11/dw"
top: "conv11/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/dw/relu"
type: "ReLU"
bottom: "conv11/dw"
top: "conv11/dw"
}
layer {
name: "conv11"
type: "Convolution"
bottom: "conv11/dw"
top: "conv11"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv11/bn"
type: "BatchNorm"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv11/scale"
type: "Scale"
bottom: "conv11"
top: "conv11"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv11/relu"
type: "ReLU"
bottom: "conv11"
top: "conv11"
}
layer {
name: "conv12/dw"
type: "Convolution"
bottom: "conv11"
top: "conv12/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
group: 512
stride: 2
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv12/dw/bn"
type: "BatchNorm"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12/dw/scale"
type: "Scale"
bottom: "conv12/dw"
top: "conv12/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/dw/relu"
type: "ReLU"
bottom: "conv12/dw"
top: "conv12/dw"
}
layer {
name: "conv12"
type: "Convolution"
bottom: "conv12/dw"
top: "conv12"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv12/bn"
type: "BatchNorm"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv12/scale"
type: "Scale"
bottom: "conv12"
top: "conv12"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv12/relu"
type: "ReLU"
bottom: "conv12"
top: "conv12"
}
layer {
name: "conv13/dw"
type: "Convolution"
bottom: "conv12"
top: "conv13/dw"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
pad: 1
kernel_size: 3
group: 1024
weight_filler {
type: "msra"
}
engine: CAFFE
}
}
layer {
name: "conv13/dw/bn"
type: "BatchNorm"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13/dw/scale"
type: "Scale"
bottom: "conv13/dw"
top: "conv13/dw"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/dw/relu"
type: "ReLU"
bottom: "conv13/dw"
top: "conv13/dw"
}
layer {
name: "conv13"
type: "Convolution"
bottom: "conv13/dw"
top: "conv13"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 1024
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv13/bn"
type: "BatchNorm"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv13/scale"
type: "Scale"
bottom: "conv13"
top: "conv13"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv13/relu"
type: "ReLU"
bottom: "conv13"
top: "conv13"
}
layer {
name: "conv14_1"
type: "Convolution"
bottom: "conv13"
top: "conv14_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_1/bn"
type: "BatchNorm"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_1/scale"
type: "Scale"
bottom: "conv14_1"
top: "conv14_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_1/relu"
type: "ReLU"
bottom: "conv14_1"
top: "conv14_1"
}
layer {
name: "conv14_2"
type: "Convolution"
bottom: "conv14_1"
top: "conv14_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 512
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv14_2/bn"
type: "BatchNorm"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv14_2/scale"
type: "Scale"
bottom: "conv14_2"
top: "conv14_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv14_2/relu"
type: "ReLU"
bottom: "conv14_2"
top: "conv14_2"
}
layer {
name: "conv15_1"
type: "Convolution"
bottom: "conv14_2"
top: "conv15_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_1/bn"
type: "BatchNorm"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_1/scale"
type: "Scale"
bottom: "conv15_1"
top: "conv15_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_1/relu"
type: "ReLU"
bottom: "conv15_1"
top: "conv15_1"
}
layer {
name: "conv15_2"
type: "Convolution"
bottom: "conv15_1"
top: "conv15_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv15_2/bn"
type: "BatchNorm"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv15_2/scale"
type: "Scale"
bottom: "conv15_2"
top: "conv15_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv15_2/relu"
type: "ReLU"
bottom: "conv15_2"
top: "conv15_2"
}
layer {
name: "conv16_1"
type: "Convolution"
bottom: "conv15_2"
top: "conv16_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_1/bn"
type: "BatchNorm"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_1/scale"
type: "Scale"
bottom: "conv16_1"
top: "conv16_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_1/relu"
type: "ReLU"
bottom: "conv16_1"
top: "conv16_1"
}
layer {
name: "conv16_2"
type: "Convolution"
bottom: "conv16_1"
top: "conv16_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 256
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv16_2/bn"
type: "BatchNorm"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv16_2/scale"
type: "Scale"
bottom: "conv16_2"
top: "conv16_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv16_2/relu"
type: "ReLU"
bottom: "conv16_2"
top: "conv16_2"
}
layer {
name: "conv17_1"
type: "Convolution"
bottom: "conv16_2"
top: "conv17_1"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_1/bn"
type: "BatchNorm"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_1/scale"
type: "Scale"
bottom: "conv17_1"
top: "conv17_1"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_1/relu"
type: "ReLU"
bottom: "conv17_1"
top: "conv17_1"
}
layer {
name: "conv17_2"
type: "Convolution"
bottom: "conv17_1"
top: "conv17_2"
param {
lr_mult: 0.1
decay_mult: 0.1
}
convolution_param {
num_output: 128
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv17_2/bn"
type: "BatchNorm"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv17_2/scale"
type: "Scale"
bottom: "conv17_2"
top: "conv17_2"
param {
lr_mult: 0.1
decay_mult: 0
}
param {
lr_mult: 0.2
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv17_2/relu"
type: "ReLU"
bottom: "conv17_2"
top: "conv17_2"
}
layer {
name: "conv11_mbox_loc"
type: "Convolution"
bottom: "conv11"
top: "conv11_mbox_loc"
param {
lr_mult: 0.1
decay_mult: 0.1
}
param {
lr_mult: 0.2
decay_mult: 0
}
convolution_param {
num_output: 12
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv11_mbox_loc_perm"
type: "Permute"
bottom: "conv11_mbox_loc"
top: "conv11_mbox_loc_perm"
permute_param {
order: 0
or
I0417 09:22:53.553593 4776 layer_factory.hpp:77] Creating layer data
I0417 09:22:53.553871 4776 net.cpp:100] Creating Layer data
I0417 09:22:53.553922 4776 net.cpp:408] data -> data
I0417 09:22:53.553993 4776 net.cpp:408] data -> label
I0417 09:22:53.554232 4778 db_lmdb.cpp:35] Opened lmdb trainval_lmdb/
I0417 09:22:53.555451 4776 annotated_data_layer.cpp:62] output data size: 24,3,300,300
I0417 09:22:53.555584 4776 net.cpp:150] Setting up data
I0417 09:22:53.555634 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.555676 4776 net.cpp:157] Top shape: 1 1 1 8 (8)
I0417 09:22:53.555716 4776 net.cpp:165] Memory required for data: 25920032
I0417 09:22:53.555783 4776 layer_factory.hpp:77] Creating layer data_data_0_split
I0417 09:22:53.555830 4776 net.cpp:100] Creating Layer data_data_0_split
I0417 09:22:53.555871 4776 net.cpp:434] data_data_0_split <- data
I0417 09:22:53.555918 4776 net.cpp:408] data_data_0_split -> data_data_0_split_0
I0417 09:22:53.555964 4776 net.cpp:408] data_data_0_split -> data_data_0_split_1
I0417 09:22:53.556008 4776 net.cpp:408] data_data_0_split -> data_data_0_split_2
I0417 09:22:53.556052 4776 net.cpp:408] data_data_0_split -> data_data_0_split_3
I0417 09:22:53.556097 4776 net.cpp:408] data_data_0_split -> data_data_0_split_4
I0417 09:22:53.556139 4776 net.cpp:408] data_data_0_split -> data_data_0_split_5
I0417 09:22:53.556182 4776 net.cpp:408] data_data_0_split -> data_data_0_split_6
I0417 09:22:53.556234 4776 net.cpp:150] Setting up data_data_0_split
I0417 09:22:53.556296 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556340 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556378 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556442 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556483 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556524 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556565 4776 net.cpp:157] Top shape: 24 3 300 300 (6480000)
I0417 09:22:53.556605 4776 net.cpp:165] Memory required for data: 207360032
I0417 09:22:53.556644 4776 layer_factory.hpp:77] Creating layer conv0
I0417 09:22:53.556694 4776 net.cpp:100] Creating Layer conv0
I0417 09:22:53.556735 4776 net.cpp:434] conv0 <- data_data_0_split_0
I0417 09:22:53.556778 4776 net.cpp:408] conv0 -> conv0
I0417 09:22:53.556881 4776 net.cpp:150] Setting up conv0
I0417 09:22:53.556928 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.556969 4776 net.cpp:165] Memory required for data: 276480032
I0417 09:22:53.557015 4776 layer_factory.hpp:77] Creating layer conv0/bn
I0417 09:22:53.557062 4776 net.cpp:100] Creating Layer conv0/bn
I0417 09:22:53.557103 4776 net.cpp:434] conv0/bn <- conv0
I0417 09:22:53.557144 4776 net.cpp:395] conv0/bn -> conv0 (in-place)
I0417 09:22:53.557238 4776 net.cpp:150] Setting up conv0/bn
I0417 09:22:53.557282 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.557322 4776 net.cpp:165] Memory required for data: 345600032
I0417 09:22:53.564157 4776 layer_factory.hpp:77] Creating layer conv0/scale
I0417 09:22:53.564213 4776 net.cpp:100] Creating Layer conv0/scale
I0417 09:22:53.564224 4776 net.cpp:434] conv0/scale <- conv0
I0417 09:22:53.564234 4776 net.cpp:395] conv0/scale -> conv0 (in-place)
I0417 09:22:53.564260 4776 layer_factory.hpp:77] Creating layer conv0/scale
I0417 09:22:53.564380 4776 net.cpp:150] Setting up conv0/scale
I0417 09:22:53.564390 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564399 4776 net.cpp:165] Memory required for data: 414720032
I0417 09:22:53.564409 4776 layer_factory.hpp:77] Creating layer conv0/relu
I0417 09:22:53.564419 4776 net.cpp:100] Creating Layer conv0/relu
I0417 09:22:53.564425 4776 net.cpp:434] conv0/relu <- conv0
I0417 09:22:53.564456 4776 net.cpp:395] conv0/relu -> conv0 (in-place)
I0417 09:22:53.564471 4776 net.cpp:150] Setting up conv0/relu
I0417 09:22:53.564479 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564486 4776 net.cpp:165] Memory required for data: 483840032
I0417 09:22:53.564493 4776 layer_factory.hpp:77] Creating layer conv1/dw
I0417 09:22:53.564503 4776 net.cpp:100] Creating Layer conv1/dw
I0417 09:22:53.564510 4776 net.cpp:434] conv1/dw <- conv0
I0417 09:22:53.564518 4776 net.cpp:408] conv1/dw -> conv1/dw
I0417 09:22:53.564539 4776 net.cpp:150] Setting up conv1/dw
I0417 09:22:53.564546 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564553 4776 net.cpp:165] Memory required for data: 552960032
I0417 09:22:53.564561 4776 layer_factory.hpp:77] Creating layer conv1/dw/bn
I0417 09:22:53.564569 4776 net.cpp:100] Creating Layer conv1/dw/bn
I0417 09:22:53.564576 4776 net.cpp:434] conv1/dw/bn <- conv1/dw
I0417 09:22:53.564584 4776 net.cpp:395] conv1/dw/bn -> conv1/dw (in-place)
I0417 09:22:53.564642 4776 net.cpp:150] Setting up conv1/dw/bn
I0417 09:22:53.564651 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564657 4776 net.cpp:165] Memory required for data: 622080032
I0417 09:22:53.564666 4776 layer_factory.hpp:77] Creating layer conv1/dw/scale
I0417 09:22:53.564677 4776 net.cpp:100] Creating Layer conv1/dw/scale
I0417 09:22:53.564683 4776 net.cpp:434] conv1/dw/scale <- conv1/dw
I0417 09:22:53.564690 4776 net.cpp:395] conv1/dw/scale -> conv1/dw (in-place)
I0417 09:22:53.564702 4776 layer_factory.hpp:77] Creating layer conv1/dw/scale
I0417 09:22:53.564853 4776 net.cpp:150] Setting up conv1/dw/scale
I0417 09:22:53.564867 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564877 4776 net.cpp:165] Memory required for data: 691200032
I0417 09:22:53.564885 4776 layer_factory.hpp:77] Creating layer conv1/dw/relu
I0417 09:22:53.564893 4776 net.cpp:100] Creating Layer conv1/dw/relu
I0417 09:22:53.564939 4776 net.cpp:434] conv1/dw/relu <- conv1/dw
I0417 09:22:53.564949 4776 net.cpp:395] conv1/dw/relu -> conv1/dw (in-place)
I0417 09:22:53.564956 4776 net.cpp:150] Setting up conv1/dw/relu
I0417 09:22:53.564963 4776 net.cpp:157] Top shape: 24 32 150 150 (17280000)
I0417 09:22:53.564971 4776 net.cpp:165] Memory required for data: 760320032
I0417 09:22:53.564998 4776 layer_factory.hpp:77] Creating layer conv1
I0417 09:22:53.565086 4776 net.cpp:100] Creating Layer conv1
I0417 09:22:53.565094 4776 net.cpp:434] conv1 <- conv1/dw
I0417 09:22:53.565104 4776 net.cpp:408] conv1 -> conv1
I0417 09:22:53.565150 4776 net.cpp:150] Setting up conv1
I0417 09:22:53.565178 4776 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:53.565187 4776 net.cpp:165] Memory required for data: 898560032
I0417 09:22:53.565196 4776 layer_factory.hpp:77] Creating layer conv1/bn
I0417 09:22:53.565223 4776 net.cpp:100] Creating Layer conv1/bn
I0417 09:22:53.565246 4776 net.cpp:434] conv1/bn <- conv1
I0417 09:22:53.565269 4776 net.cpp:395] conv1/bn -> conv1 (in-place)
I0417 09:22:53.565343 4776 net.cpp:150] Setting up conv1/bn
I0417 09:22:53.565377 4776 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:53.565409 4776 net.cpp:165] Memory required for data: 1036800032
I0417 09:22:53.565443 4776 layer_factory.hpp:77] Creating layer conv1/scale
I0417 09:22:53.565476 4776 net.cpp:100] Creating Layer conv1/scale
I0417 09:22:53.565497 4776 net.cpp:434] conv1/scale <- conv1
I0417 09:22:53.565506 4776 net.cpp:395] conv1/scale -> conv1 (in-place)
I0417 09:22:53.565590 4776 layer_factory.hpp:77] Creating layer conv1/scale
I0417 09:22:53.565716 4776 net.cpp:150] Setting up conv1/scale
I0417 09:22:53.565752 4776 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:53.565783 4776 net.cpp:165] Memory required for data: 1175040032
I0417 09:22:53.565817 4776 layer_factory.hpp:77] Creating layer conv1/relu
I0417 09:22:53.565850 4776 net.cpp:100] Creating Layer conv1/relu
I0417 09:22:53.565881 4776 net.cpp:434] conv1/relu <- conv1
I0417 09:22:53.565912 4776 net.cpp:395] conv1/relu -> conv1 (in-place)
I0417 09:22:53.565946 4776 net.cpp:150] Setting up conv1/relu
I0417 09:22:53.565977 4776 net.cpp:157] Top shape: 24 64 150 150 (34560000)
I0417 09:22:53.565999 4776 net.cpp:165] Memory required for data: 1313280032
I0417 09:22:53.566006 4776 layer_factory.hpp:77] Creating layer conv2/dw
I0417 09:22:53.566028 4776 net.cpp:100] Creating Layer conv2/dw
I0417 09:22:53.566047 4776 net.cpp:434] conv2/dw <- conv1
I0417 09:22:53.566057 4776 net.cpp:408] conv2/dw -> conv2/dw
I0417 09:22:53.567639 4776 net.cpp:150] Setting up conv2/dw
I0417 09:22:53.573388 4776 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:53.573437 4776 net.cpp:165] Memory required for data: 1347840032
I0417 09:22:53.573474 4776 layer_factory.hpp:77] Creating layer conv2/dw/bn
I0417 09:22:53.573513 4776 net.cpp:100] Creating Layer conv2/dw/bn
I0417 09:22:53.573544 4776 net.cpp:434] conv2/dw/bn <- conv2/dw
I0417 09:22:53.573578 4776 net.cpp:395] conv2/dw/bn -> conv2/dw (in-place)
I0417 09:22:53.573652 4776 net.cpp:150] Setting up conv2/dw/bn
I0417 09:22:53.573742 4776 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:53.573782 4776 net.cpp:165] Memory required for data: 1382400032
I0417 09:22:53.573830 4776 layer_factory.hpp:77] Creating layer conv2/dw/scale
I0417 09:22:53.573868 4776 net.cpp:100] Creating Layer conv2/dw/scale
I0417 09:22:53.573899 4776 net.cpp:434] conv2/dw/scale <- conv2/dw
I0417 09:22:53.573935 4776 net.cpp:395] conv2/dw/scale -> conv2/dw (in-place)
I0417 09:22:53.573976 4776 layer_factory.hpp:77] Creating layer conv2/dw/scale
I0417 09:22:53.574059 4776 net.cpp:150] Setting up conv2/dw/scale
I0417 09:22:53.574093 4776 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:53.574126 4776 net.cpp:165] Memory required for data: 1416960032
I0417 09:22:53.574159 4776 layer_factory.hpp:77] Creating layer conv2/dw/relu
I0417 09:22:53.574193 4776 net.cpp:100] Creating Layer conv2/dw/relu
I0417 09:22:53.574280 4776 net.cpp:434] conv2/dw/relu <- conv2/dw
I0417 09:22:53.574319 4776 net.cpp:395] conv2/dw/relu -> conv2/dw (in-place)
I0417 09:22:53.574354 4776 net.cpp:150] Setting up conv2/dw/relu
I0417 09:22:53.574386 4776 net.cpp:157] Top shape: 24 64 75 75 (8640000)
I0417 09:22:53.574419 4776 net.cpp:165] Memory required for data: 1451520032
I0417 09:22:53.574448 4776 layer_factory.hpp:77] Creating layer conv2
I0417 09:22:53.574483 4776 net.cpp:100] Creating Layer conv2
I0417 09:22:53.574515 4776 net.cpp:434] conv2 <- conv2/dw
I0417 09:22:53.574548 4776 net.cpp:408] conv2 -> conv2
I0417 09:22:53.574673 4776 net.cpp:150] Setting up conv2
I0417 09:22:53.574708 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.574740 4776 net.cpp:165] Memory required for data: 1520640032
I0417 09:22:53.574846 4776 layer_factory.hpp:77] Creating layer conv2/bn
I0417 09:22:53.574900 4776 net.cpp:100] Creating Layer conv2/bn
I0417 09:22:53.574931 4776 net.cpp:434] conv2/bn <- conv2
I0417 09:22:53.574964 4776 net.cpp:395] conv2/bn -> conv2 (in-place)
I0417 09:22:53.575021 4776 net.cpp:150] Setting up conv2/bn
I0417 09:22:53.575055 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.575088 4776 net.cpp:165] Memory required for data: 1589760032
I0417 09:22:53.575124 4776 layer_factory.hpp:77] Creating layer conv2/scale
I0417 09:22:53.575157 4776 net.cpp:100] Creating Layer conv2/scale
I0417 09:22:53.575188 4776 net.cpp:434] conv2/scale <- conv2
I0417 09:22:53.575220 4776 net.cpp:395] conv2/scale -> conv2 (in-place)
I0417 09:22:53.575258 4776 layer_factory.hpp:77] Creating layer conv2/scale
I0417 09:22:53.575340 4776 net.cpp:150] Setting up conv2/scale
I0417 09:22:53.575384 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.575417 4776 net.cpp:165] Memory required for data: 1658880032
I0417 09:22:53.575450 4776 layer_factory.hpp:77] Creating layer conv2/relu
I0417 09:22:53.575484 4776 net.cpp:100] Creating Layer conv2/relu
I0417 09:22:53.575516 4776 net.cpp:434] conv2/relu <- conv2
I0417 09:22:53.575548 4776 net.cpp:395] conv2/relu -> conv2 (in-place)
I0417 09:22:53.575582 4776 net.cpp:150] Setting up conv2/relu
I0417 09:22:53.575613 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.575644 4776 net.cpp:165] Memory required for data: 1728000032
I0417 09:22:53.575673 4776 layer_factory.hpp:77] Creating layer conv3/dw
I0417 09:22:53.575706 4776 net.cpp:100] Creating Layer conv3/dw
I0417 09:22:53.575738 4776 net.cpp:434] conv3/dw <- conv2
I0417 09:22:53.575770 4776 net.cpp:408] conv3/dw -> conv3/dw
I0417 09:22:53.575827 4776 net.cpp:150] Setting up conv3/dw
I0417 09:22:53.575901 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.575955 4776 net.cpp:165] Memory required for data: 1797120032
I0417 09:22:53.575987 4776 layer_factory.hpp:77] Creating layer conv3/dw/bn
I0417 09:22:53.576020 4776 net.cpp:100] Creating Layer conv3/dw/bn
I0417 09:22:53.576051 4776 net.cpp:434] conv3/dw/bn <- conv3/dw
I0417 09:22:53.576082 4776 net.cpp:395] conv3/dw/bn -> conv3/dw (in-place)
I0417 09:22:53.576136 4776 net.cpp:150] Setting up conv3/dw/bn
I0417 09:22:53.576170 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.576201 4776 net.cpp:165] Memory required for data: 1866240032
I0417 09:22:53.576238 4776 layer_factory.hpp:77] Creating layer conv3/dw/scale
I0417 09:22:53.576272 4776 net.cpp:100] Creating Layer conv3/dw/scale
I0417 09:22:53.576303 4776 net.cpp:434] conv3/dw/scale <- conv3/dw
I0417 09:22:53.576335 4776 net.cpp:395] conv3/dw/scale -> conv3/dw (in-place)
I0417 09:22:53.576371 4776 layer_factory.hpp:77] Creating layer conv3/dw/scale
I0417 09:22:53.576462 4776 net.cpp:150] Setting up conv3/dw/scale
I0417 09:22:53.576500 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.576532 4776 net.cpp:165] Memory required for data: 1935360032
I0417 09:22:53.576565 4776 layer_factory.hpp:77] Creating layer conv3/dw/relu
I0417 09:22:53.576599 4776 net.cpp:100] Creating Layer conv3/dw/relu
I0417 09:22:53.576650 4776 net.cpp:434] conv3/dw/relu <- conv3/dw
I0417 09:22:53.576683 4776 net.cpp:395] conv3/dw/relu -> conv3/dw (in-place)
I0417 09:22:53.576716 4776 net.cpp:150] Setting up conv3/dw/relu
I0417 09:22:53.576747 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.576778 4776 net.cpp:165] Memory required for data: 2004480032
I0417 09:22:53.576808 4776 layer_factory.hpp:77] Creating layer conv3
I0417 09:22:53.576841 4776 net.cpp:100] Creating Layer conv3
I0417 09:22:53.576872 4776 net.cpp:434] conv3 <- conv3/dw
I0417 09:22:53.576905 4776 net.cpp:408] conv3 -> conv3
I0417 09:22:53.577167 4776 net.cpp:150] Setting up conv3
I0417 09:22:53.577212 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.577244 4776 net.cpp:165] Memory required for data: 2073600032
I0417 09:22:53.578299 4776 layer_factory.hpp:77] Creating layer conv3/bn
I0417 09:22:53.578336 4776 net.cpp:100] Creating Layer conv3/bn
I0417 09:22:53.578366 4776 net.cpp:434] conv3/bn <- conv3
I0417 09:22:53.578399 4776 net.cpp:395] conv3/bn -> conv3 (in-place)
I0417 09:22:53.578455 4776 net.cpp:150] Setting up conv3/bn
I0417 09:22:53.578490 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.578523 4776 net.cpp:165] Memory required for data: 2142720032
I0417 09:22:53.578557 4776 layer_factory.hpp:77] Creating layer conv3/scale
I0417 09:22:53.578631 4776 net.cpp:100] Creating Layer conv3/scale
I0417 09:22:53.578665 4776 net.cpp:434] conv3/scale <- conv3
I0417 09:22:53.578698 4776 net.cpp:395] conv3/scale -> conv3 (in-place)
I0417 09:22:53.578737 4776 layer_factory.hpp:77] Creating layer conv3/scale
I0417 09:22:53.578799 4776 net.cpp:150] Setting up conv3/scale
I0417 09:22:53.578832 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.578864 4776 net.cpp:165] Memory required for data: 2211840032
I0417 09:22:53.578902 4776 layer_factory.hpp:77] Creating layer conv3/relu
I0417 09:22:53.578938 4776 net.cpp:100] Creating Layer conv3/relu
I0417 09:22:53.578969 4776 net.cpp:434] conv3/relu <- conv3
I0417 09:22:53.578999 4776 net.cpp:395] conv3/relu -> conv3 (in-place)
I0417 09:22:53.579031 4776 net.cpp:150] Setting up conv3/relu
I0417 09:22:53.579062 4776 net.cpp:157] Top shape: 24 128 75 75 (17280000)
I0417 09:22:53.579094 4776 net.cpp:165] Memory required for data: 2280960032
I0417 09:22:53.579231 4776 layer_factory.hpp:77] Creating layer conv4/dw
I0417 09:22:53.582095 4776 net.cpp:100] Creating Layer conv4/dw
I0417 09:22:53.582298 4776 net.cpp:434] conv4/dw <- conv3
I0417 09:22:53.582504 4776 net.cpp:408] conv4/dw -> conv4/dw
I0417 09:22:53.582656 4776 net.cpp:150] Setting up conv4/dw
I0417 09:22:53.582693 4776 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:53.582729 4776 net.cpp:165] Memory required for data: 2298703904
I0417 09:22:53.582762 4776 layer_factory.hpp:77] Creating layer conv4/dw/bn
I0417 09:22:53.582798 4776 net.cpp:100] Creating Layer conv4/dw/bn
I0417 09:22:53.582829 4776 net.cpp:434] conv4/dw/bn <- conv4/dw
I0417 09:22:53.582861 4776 net.cpp:395] conv4/dw/bn -> conv4/dw (in-place)
I0417 09:22:53.582906 4776 net.cpp:150] Setting up conv4/dw/bn
I0417 09:22:53.582986 4776 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:53.583037 4776 net.cpp:165] Memory required for data: 2316447776
I0417 09:22:53.583070 4776 layer_factory.hpp:77] Creating layer conv4/dw/scale
I0417 09:22:53.583106 4776 net.cpp:100] Creating Layer conv4/dw/scale
I0417 09:22:53.583137 4776 net.cpp:434] conv4/dw/scale <- conv4/dw
I0417 09:22:53.583169 4776 net.cpp:395] conv4/dw/scale -> conv4/dw (in-place)
I0417 09:22:53.583209 4776 layer_factory.hpp:77] Creating layer conv4/dw/scale
I0417 09:22:53.583262 4776 net.cpp:150] Setting up conv4/dw/scale
I0417 09:22:53.583297 4776 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:53.583328 4776 net.cpp:165] Memory required for data: 2334191648
I0417 09:22:53.583364 4776 layer_factory.hpp:77] Creating layer conv4/dw/relu
I0417 09:22:53.583396 4776 net.cpp:100] Creating Layer conv4/dw/relu
I0417 09:22:53.583458 4776 net.cpp:434] conv4/dw/relu <- conv4/dw
I0417 09:22:53.583529 4776 net.cpp:395] conv4/dw/relu -> conv4/dw (in-place)
I0417 09:22:53.583566 4776 net.cpp:150] Setting up conv4/dw/relu
I0417 09:22:53.583598 4776 net.cpp:157] Top shape: 24 128 38 38 (4435968)
I0417 09:22:53.583631 4776 net.cpp:165] Memory required for data: 2351935520
I0417 09:22:53.583660 4776 layer_factory.hpp:77] Creating layer conv4
I0417 09:22:53.583698 4776 net.cpp:100] Creating Layer conv4
I0417 09:22:53.583729 4776 net.cpp:434] conv4 <- conv4/dw
I0417 09:22:53.583762 4776 net.cpp:408] conv4 -> conv4
I0417 09:22:53.584141 4776 net.cpp:150] Setting up conv4
I0417 09:22:53.584187 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.584220 4776 net.cpp:165] Memory required for data: 2387423264
I0417 09:22:53.584252 4776 layer_factory.hpp:77] Creating layer conv4/bn
I0417 09:22:53.584285 4776 net.cpp:100] Creating Layer conv4/bn
I0417 09:22:53.584317 4776 net.cpp:434] conv4/bn <- conv4
I0417 09:22:53.584349 4776 net.cpp:395] conv4/bn -> conv4 (in-place)
I0417 09:22:53.584393 4776 net.cpp:150] Setting up conv4/bn
I0417 09:22:53.584426 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.584457 4776 net.cpp:165] Memory required for data: 2422911008
I0417 09:22:53.584491 4776 layer_factory.hpp:77] Creating layer conv4/scale
I0417 09:22:53.584522 4776 net.cpp:100] Creating Layer conv4/scale
I0417 09:22:53.584566 4776 net.cpp:434] conv4/scale <- conv4
I0417 09:22:53.584615 4776 net.cpp:395] conv4/scale -> conv4 (in-place)
I0417 09:22:53.584653 4776 layer_factory.hpp:77] Creating layer conv4/scale
I0417 09:22:53.584702 4776 net.cpp:150] Setting up conv4/scale
I0417 09:22:53.584734 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.584766 4776 net.cpp:165] Memory required for data: 2458398752
I0417 09:22:53.584800 4776 layer_factory.hpp:77] Creating layer conv4/relu
I0417 09:22:53.584831 4776 net.cpp:100] Creating Layer conv4/relu
I0417 09:22:53.584862 4776 net.cpp:434] conv4/relu <- conv4
I0417 09:22:53.584894 4776 net.cpp:395] conv4/relu -> conv4 (in-place)
I0417 09:22:53.584928 4776 net.cpp:150] Setting up conv4/relu
I0417 09:22:53.584959 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.584990 4776 net.cpp:165] Memory required for data: 2493886496
I0417 09:22:53.585021 4776 layer_factory.hpp:77] Creating layer conv5/dw
I0417 09:22:53.585054 4776 net.cpp:100] Creating Layer conv5/dw
I0417 09:22:53.585086 4776 net.cpp:434] conv5/dw <- conv4
I0417 09:22:53.585144 4776 net.cpp:408] conv5/dw -> conv5/dw
I0417 09:22:53.585213 4776 net.cpp:150] Setting up conv5/dw
I0417 09:22:53.585247 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.585279 4776 net.cpp:165] Memory required for data: 2529374240
I0417 09:22:53.585310 4776 layer_factory.hpp:77] Creating layer conv5/dw/bn
I0417 09:22:53.585345 4776 net.cpp:100] Creating Layer conv5/dw/bn
I0417 09:22:53.585376 4776 net.cpp:434] conv5/dw/bn <- conv5/dw
I0417 09:22:53.585407 4776 net.cpp:395] conv5/dw/bn -> conv5/dw (in-place)
I0417 09:22:53.585453 4776 net.cpp:150] Setting up conv5/dw/bn
I0417 09:22:53.585485 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.585516 4776 net.cpp:165] Memory required for data: 2564861984
I0417 09:22:53.585549 4776 layer_factory.hpp:77] Creating layer conv5/dw/scale
I0417 09:22:53.585582 4776 net.cpp:100] Creating Layer conv5/dw/scale
I0417 09:22:53.585613 4776 net.cpp:434] conv5/dw/scale <- conv5/dw
I0417 09:22:53.585686 4776 net.cpp:395] conv5/dw/scale -> conv5/dw (in-place)
I0417 09:22:53.585762 4776 layer_factory.hpp:77] Creating layer conv5/dw/scale
I0417 09:22:53.585814 4776 net.cpp:150] Setting up conv5/dw/scale
I0417 09:22:53.585849 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.585880 4776 net.cpp:165] Memory required for data: 2600349728
I0417 09:22:53.585912 4776 layer_factory.hpp:77] Creating layer conv5/dw/relu
I0417 09:22:53.585945 4776 net.cpp:100] Creating Layer conv5/dw/relu
I0417 09:22:53.585994 4776 net.cpp:434] conv5/dw/relu <- conv5/dw
I0417 09:22:53.586026 4776 net.cpp:395] conv5/dw/relu -> conv5/dw (in-place)
I0417 09:22:53.586060 4776 net.cpp:150] Setting up conv5/dw/relu
I0417 09:22:53.586091 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.586122 4776 net.cpp:165] Memory required for data: 2635837472
I0417 09:22:53.586151 4776 layer_factory.hpp:77] Creating layer conv5
I0417 09:22:53.586203 4776 net.cpp:100] Creating Layer conv5
I0417 09:22:53.586280 4776 net.cpp:434] conv5 <- conv5/dw
I0417 09:22:53.586314 4776 net.cpp:408] conv5 -> conv5
I0417 09:22:53.587034 4776 net.cpp:150] Setting up conv5
I0417 09:22:53.593715 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.593746 4776 net.cpp:165] Memory required for data: 2671325216
I0417 09:22:53.593760 4776 layer_factory.hpp:77] Creating layer conv5/bn
I0417 09:22:53.593780 4776 net.cpp:100] Creating Layer conv5/bn
I0417 09:22:53.593788 4776 net.cpp:434] conv5/bn <- conv5
I0417 09:22:53.593797 4776 net.cpp:395] conv5/bn -> conv5 (in-place)
I0417 09:22:53.597905 4776 net.cpp:150] Setting up conv5/bn
I0417 09:22:53.597950 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.597986 4776 net.cpp:165] Memory required for data: 2706812960
I0417 09:22:53.598023 4776 layer_factory.hpp:77] Creating layer conv5/scale
I0417 09:22:53.598059 4776 net.cpp:100] Creating Layer conv5/scale
I0417 09:22:53.598093 4776 net.cpp:434] conv5/scale <- conv5
I0417 09:22:53.598134 4776 net.cpp:395] conv5/scale -> conv5 (in-place)
I0417 09:22:53.598223 4776 layer_factory.hpp:77] Creating layer conv5/scale
I0417 09:22:53.598287 4776 net.cpp:150] Setting up conv5/scale
I0417 09:22:53.598321 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.598354 4776 net.cpp:165] Memory required for data: 2742300704
I0417 09:22:53.598393 4776 layer_factory.hpp:77] Creating layer conv5/relu
I0417 09:22:53.598428 4776 net.cpp:100] Creating Layer conv5/relu
I0417 09:22:53.598460 4776 net.cpp:434] conv5/relu <- conv5
I0417 09:22:53.598492 4776 net.cpp:395] conv5/relu -> conv5 (in-place)
I0417 09:22:53.598526 4776 net.cpp:150] Setting up conv5/relu
I0417 09:22:53.598556 4776 net.cpp:157] Top shape: 24 256 38 38 (8871936)
I0417 09:22:53.598588 4776 net.cpp:165] Memory required for data: 2777788448
I0417 09:22:53.598618 4776 layer_factory.hpp:77] Creating layer conv6/dw
I0417 09:22:53.598652 4776 net.cpp:100] Creating Layer conv6/dw
I0417 09:22:53.598685 4776 net.cpp:434] conv6/dw <- conv5
I0417 09:22:53.598814 4776 net.cpp:408] conv6/dw -> conv6/dw
I0417 09:22:53.598953 4776 net.cpp:150] Setting up conv6/dw
I0417 09:22:53.598990 4776 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:53.599023 4776 net.cpp:165] Memory required for data: 2786660384
I0417 09:22:53.599056 4776 layer_factory.hpp:77] Creating layer conv6/dw/bn
I0417 09:22:53.599092 4776 net.cpp:100] Creating Layer conv6/dw/bn
I0417 09:22:53.599124 4776 net.cpp:434] conv6/dw/bn <- conv6/dw
I0417 09:22:53.599159 4776 net.cpp:395] conv6/dw/bn -> conv6/dw (in-place)
I0417 09:22:53.599198 4776 net.cpp:150] Setting up conv6/dw/bn
I0417 09:22:53.599231 4776 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:53.599288 4776 net.cpp:165] Memory required for data: 2795532320
I0417 09:22:53.599324 4776 layer_factory.hpp:77] Creating layer conv6/dw/scale
I0417 09:22:53.599359 4776 net.cpp:100] Creating Layer conv6/dw/scale
I0417 09:22:53.599390 4776 net.cpp:434] conv6/dw/scale <- conv6/dw
I0417 09:22:53.599422 4776 net.cpp:395] conv6/dw/scale -> conv6/dw (in-place)
I0417 09:22:53.599459 4776 layer_factory.hpp:77] Creating layer conv6/dw/scale
I0417 09:22:53.599503 4776 net.cpp:150] Setting up conv6/dw/scale
I0417 09:22:53.599535 4776 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:53.599566 4776 net.cpp:165] Memory required for data: 2804404256
I0417 09:22:53.599598 4776 layer_factory.hpp:77] Creating layer conv6/dw/relu
I0417 09:22:53.599630 4776 net.cpp:100] Creating Layer conv6/dw/relu
I0417 09:22:53.599704 4776 net.cpp:434] conv6/dw/relu <- conv6/dw
I0417 09:22:53.599740 4776 net.cpp:395] conv6/dw/relu -> conv6/dw (in-place)
I0417 09:22:53.599774 4776 net.cpp:150] Setting up conv6/dw/relu
I0417 09:22:53.599843 4776 net.cpp:157] Top shape: 24 256 19 19 (2217984)
I0417 09:22:53.599854 4776 net.cpp:165] Memory required for data: 2813276192
I0417 09:22:53.599862 4776 layer_factory.hpp:77] Creating layer conv6
I0417 09:22:53.599902 4776 net.cpp:100] Creating Layer conv6
I0417 09:22:53.599925 4776 net.cpp:434] conv6 <- conv6/dw
I0417 09:22:53.599934 4776 net.cpp:408] conv6 -> conv6
I0417 09:22:53.602747 4776 net.cpp:150] Setting up conv6
I0417 09:22:53.602891 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.602929 4776 net.cpp:165] Memory required for data: 2831020064
I0417 09:22:53.602964 4776 layer_factory.hpp:77] Creating layer conv6/bn
I0417 09:22:53.603003 4776 net.cpp:100] Creating Layer conv6/bn
I0417 09:22:53.603035 4776 net.cpp:434] conv6/bn <- conv6
I0417 09:22:53.603138 4776 net.cpp:395] conv6/bn -> conv6 (in-place)
I0417 09:22:53.604635 4776 net.cpp:150] Setting up conv6/bn
I0417 09:22:53.604681 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.604847 4776 net.cpp:165] Memory required for data: 2848763936
I0417 09:22:53.604920 4776 layer_factory.hpp:77] Creating layer conv6/scale
I0417 09:22:53.604960 4776 net.cpp:100] Creating Layer conv6/scale
I0417 09:22:53.604992 4776 net.cpp:434] conv6/scale <- conv6
I0417 09:22:53.605026 4776 net.cpp:395] conv6/scale -> conv6 (in-place)
I0417 09:22:53.605070 4776 layer_factory.hpp:77] Creating layer conv6/scale
I0417 09:22:53.605118 4776 net.cpp:150] Setting up conv6/scale
I0417 09:22:53.606969 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.607009 4776 net.cpp:165] Memory required for data: 2866507808
I0417 09:22:53.607044 4776 layer_factory.hpp:77] Creating layer conv6/relu
I0417 09:22:53.607079 4776 net.cpp:100] Creating Layer conv6/relu
I0417 09:22:53.607111 4776 net.cpp:434] conv6/relu <- conv6
I0417 09:22:53.607143 4776 net.cpp:395] conv6/relu -> conv6 (in-place)
I0417 09:22:53.607179 4776 net.cpp:150] Setting up conv6/relu
I0417 09:22:53.607210 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.607241 4776 net.cpp:165] Memory required for data: 2884251680
I0417 09:22:53.607272 4776 layer_factory.hpp:77] Creating layer conv7/dw
I0417 09:22:53.607311 4776 net.cpp:100] Creating Layer conv7/dw
I0417 09:22:53.607342 4776 net.cpp:434] conv7/dw <- conv6
I0417 09:22:53.607375 4776 net.cpp:408] conv7/dw -> conv7/dw
I0417 09:22:53.607542 4776 net.cpp:150] Setting up conv7/dw
I0417 09:22:53.607581 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.607614 4776 net.cpp:165] Memory required for data: 2901995552
I0417 09:22:53.607646 4776 layer_factory.hpp:77] Creating layer conv7/dw/bn
I0417 09:22:53.607681 4776 net.cpp:100] Creating Layer conv7/dw/bn
I0417 09:22:53.607712 4776 net.cpp:434] conv7/dw/bn <- conv7/dw
I0417 09:22:53.607743 4776 net.cpp:395] conv7/dw/bn -> conv7/dw (in-place)
I0417 09:22:53.607785 4776 net.cpp:150] Setting up conv7/dw/bn
I0417 09:22:53.607818 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.607851 4776 net.cpp:165] Memory required for data: 2919739424
I0417 09:22:53.607884 4776 layer_factory.hpp:77] Creating layer conv7/dw/scale
I0417 09:22:53.607919 4776 net.cpp:100] Creating Layer conv7/dw/scale
I0417 09:22:53.607972 4776 net.cpp:434] conv7/dw/scale <- conv7/dw
I0417 09:22:53.608012 4776 net.cpp:395] conv7/dw/scale -> conv7/dw (in-place)
I0417 09:22:53.608055 4776 layer_factory.hpp:77] Creating layer conv7/dw/scale
I0417 09:22:53.608103 4776 net.cpp:150] Setting up conv7/dw/scale
I0417 09:22:53.608137 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.608170 4776 net.cpp:165] Memory required for data: 2937483296
I0417 09:22:53.608203 4776 layer_factory.hpp:77] Creating layer conv7/dw/relu
I0417 09:22:53.608237 4776 net.cpp:100] Creating Layer conv7/dw/relu
I0417 09:22:53.608294 4776 net.cpp:434] conv7/dw/relu <- conv7/dw
I0417 09:22:53.608330 4776 net.cpp:395] conv7/dw/relu -> conv7/dw (in-place)
I0417 09:22:53.608363 4776 net.cpp:150] Setting up conv7/dw/relu
I0417 09:22:53.608394 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.608426 4776 net.cpp:165] Memory required for data: 2955227168
I0417 09:22:53.608456 4776 layer_factory.hpp:77] Creating layer conv7
I0417 09:22:53.608489 4776 net.cpp:100] Creating Layer conv7
I0417 09:22:53.608598 4776 net.cpp:434] conv7 <- conv7/dw
I0417 09:22:53.608633 4776 net.cpp:408] conv7 -> conv7
I0417 09:22:53.615204 4776 net.cpp:150] Setting up conv7
I0417 09:22:53.615274 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.615310 4776 net.cpp:165] Memory required for data: 2972971040
I0417 09:22:53.615345 4776 layer_factory.hpp:77] Creating layer conv7/bn
I0417 09:22:53.615379 4776 net.cpp:100] Creating Layer conv7/bn
I0417 09:22:53.615411 4776 net.cpp:434] conv7/bn <- conv7
I0417 09:22:53.615444 4776 net.cpp:395] conv7/bn -> conv7 (in-place)
I0417 09:22:53.615489 4776 net.cpp:150] Setting up conv7/bn
I0417 09:22:53.615522 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.615554 4776 net.cpp:165] Memory required for data: 2990714912
I0417 09:22:53.615641 4776 layer_factory.hpp:77] Creating layer conv7/scale
I0417 09:22:53.615681 4776 net.cpp:100] Creating Layer conv7/scale
I0417 09:22:53.615713 4776 net.cpp:434] conv7/scale <- conv7
I0417 09:22:53.615746 4776 net.cpp:395] conv7/scale -> conv7 (in-place)
I0417 09:22:53.615787 4776 layer_factory.hpp:77] Creating layer conv7/scale
I0417 09:22:53.615829 4776 net.cpp:150] Setting up conv7/scale
I0417 09:22:53.615861 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.615893 4776 net.cpp:165] Memory required for data: 3008458784
I0417 09:22:53.615926 4776 layer_factory.hpp:77] Creating layer conv7/relu
I0417 09:22:53.615963 4776 net.cpp:100] Creating Layer conv7/relu
I0417 09:22:53.615995 4776 net.cpp:434] conv7/relu <- conv7
I0417 09:22:53.616027 4776 net.cpp:395] conv7/relu -> conv7 (in-place)
I0417 09:22:53.616060 4776 net.cpp:150] Setting up conv7/relu
I0417 09:22:53.616092 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.616153 4776 net.cpp:165] Memory required for data: 3026202656
I0417 09:22:53.616212 4776 layer_factory.hpp:77] Creating layer conv8/dw
I0417 09:22:53.616250 4776 net.cpp:100] Creating Layer conv8/dw
I0417 09:22:53.616283 4776 net.cpp:434] conv8/dw <- conv7
I0417 09:22:53.616317 4776 net.cpp:408] conv8/dw -> conv8/dw
I0417 09:22:53.616405 4776 net.cpp:150] Setting up conv8/dw
I0417 09:22:53.616439 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.616472 4776 net.cpp:165] Memory required for data: 3043946528
I0417 09:22:53.616503 4776 layer_factory.hpp:77] Creating layer conv8/dw/bn
I0417 09:22:53.616539 4776 net.cpp:100] Creating Layer conv8/dw/bn
I0417 09:22:53.616573 4776 net.cpp:434] conv8/dw/bn <- conv8/dw
I0417 09:22:53.616605 4776 net.cpp:395] conv8/dw/bn -> conv8/dw (in-place)
I0417 09:22:53.616647 4776 net.cpp:150] Setting up conv8/dw/bn
I0417 09:22:53.616756 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.616794 4776 net.cpp:165] Memory required for data: 3061690400
I0417 09:22:53.616827 4776 layer_factory.hpp:77] Creating layer conv8/dw/scale
I0417 09:22:53.616868 4776 net.cpp:100] Creating Layer conv8/dw/scale
I0417 09:22:53.616900 4776 net.cpp:434] conv8/dw/scale <- conv8/dw
I0417 09:22:53.616932 4776 net.cpp:395] conv8/dw/scale -> conv8/dw (in-place)
I0417 09:22:53.616971 4776 layer_factory.hpp:77] Creating layer conv8/dw/scale
I0417 09:22:53.617013 4776 net.cpp:150] Setting up conv8/dw/scale
I0417 09:22:53.617046 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.617079 4776 net.cpp:165] Memory required for data: 3079434272
I0417 09:22:53.617110 4776 layer_factory.hpp:77] Creating layer conv8/dw/relu
I0417 09:22:53.617143 4776 net.cpp:100] Creating Layer conv8/dw/relu
I0417 09:22:53.617198 4776 net.cpp:434] conv8/dw/relu <- conv8/dw
I0417 09:22:53.617286 4776 net.cpp:395] conv8/dw/relu -> conv8/dw (in-place)
I0417 09:22:53.617322 4776 net.cpp:150] Setting up conv8/dw/relu
I0417 09:22:53.617354 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.617386 4776 net.cpp:165] Memory required for data: 3097178144
I0417 09:22:53.617417 4776 layer_factory.hpp:77] Creating layer conv8
I0417 09:22:53.617450 4776 net.cpp:100] Creating Layer conv8
I0417 09:22:53.617485 4776 net.cpp:434] conv8 <- conv8/dw
I0417 09:22:53.617522 4776 net.cpp:408] conv8 -> conv8
I0417 09:22:53.620388 4776 net.cpp:150] Setting up conv8
I0417 09:22:53.626905 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.626929 4776 net.cpp:165] Memory required for data: 3114922016
I0417 09:22:53.626942 4776 layer_factory.hpp:77] Creating layer conv8/bn
I0417 09:22:53.626971 4776 net.cpp:100] Creating Layer conv8/bn
I0417 09:22:53.626979 4776 net.cpp:434] conv8/bn <- conv8
I0417 09:22:53.626989 4776 net.cpp:395] conv8/bn -> conv8 (in-place)
I0417 09:22:53.631047 4776 net.cpp:150] Setting up conv8/bn
I0417 09:22:53.631114 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.631150 4776 net.cpp:165] Memory required for data: 3132665888
I0417 09:22:53.631188 4776 layer_factory.hpp:77] Creating layer conv8/scale
I0417 09:22:53.631227 4776 net.cpp:100] Creating Layer conv8/scale
I0417 09:22:53.631260 4776 net.cpp:434] conv8/scale <- conv8
I0417 09:22:53.631294 4776 net.cpp:395] conv8/scale -> conv8 (in-place)
I0417 09:22:53.631342 4776 layer_factory.hpp:77] Creating layer conv8/scale
I0417 09:22:53.631449 4776 net.cpp:150] Setting up conv8/scale
I0417 09:22:53.631486 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.631520 4776 net.cpp:165] Memory required for data: 3150409760
I0417 09:22:53.631551 4776 layer_factory.hpp:77] Creating layer conv8/relu
I0417 09:22:53.631585 4776 net.cpp:100] Creating Layer conv8/relu
I0417 09:22:53.631616 4776 net.cpp:434] conv8/relu <- conv8
I0417 09:22:53.631649 4776 net.cpp:395] conv8/relu -> conv8 (in-place)
I0417 09:22:53.631682 4776 net.cpp:150] Setting up conv8/relu
I0417 09:22:53.631713 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.631745 4776 net.cpp:165] Memory required for data: 3168153632
I0417 09:22:53.631776 4776 layer_factory.hpp:77] Creating layer conv9/dw
I0417 09:22:53.631810 4776 net.cpp:100] Creating Layer conv9/dw
I0417 09:22:53.631842 4776 net.cpp:434] conv9/dw <- conv8
I0417 09:22:53.631875 4776 net.cpp:408] conv9/dw -> conv9/dw
I0417 09:22:53.632026 4776 net.cpp:150] Setting up conv9/dw
I0417 09:22:53.632066 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.632099 4776 net.cpp:165] Memory required for data: 3185897504
I0417 09:22:53.632131 4776 layer_factory.hpp:77] Creating layer conv9/dw/bn
I0417 09:22:53.632167 4776 net.cpp:100] Creating Layer conv9/dw/bn
I0417 09:22:53.632201 4776 net.cpp:434] conv9/dw/bn <- conv9/dw
I0417 09:22:53.632236 4776 net.cpp:395] conv9/dw/bn -> conv9/dw (in-place)
I0417 09:22:53.632277 4776 net.cpp:150] Setting up conv9/dw/bn
I0417 09:22:53.632310 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.632349 4776 net.cpp:165] Memory required for data: 3203641376
I0417 09:22:53.632409 4776 layer_factory.hpp:77] Creating layer conv9/dw/scale
I0417 09:22:53.632530 4776 net.cpp:100] Creating Layer conv9/dw/scale
I0417 09:22:53.632578 4776 net.cpp:434] conv9/dw/scale <- conv9/dw
I0417 09:22:53.632611 4776 net.cpp:395] conv9/dw/scale -> conv9/dw (in-place)
I0417 09:22:53.632653 4776 layer_factory.hpp:77] Creating layer conv9/dw/scale
I0417 09:22:53.632697 4776 net.cpp:150] Setting up conv9/dw/scale
I0417 09:22:53.632730 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.632763 4776 net.cpp:165] Memory required for data: 3221385248
I0417 09:22:53.632795 4776 layer_factory.hpp:77] Creating layer conv9/dw/relu
I0417 09:22:53.632827 4776 net.cpp:100] Creating Layer conv9/dw/relu
I0417 09:22:53.632896 4776 net.cpp:434] conv9/dw/relu <- conv9/dw
I0417 09:22:53.632930 4776 net.cpp:395] conv9/dw/relu -> conv9/dw (in-place)
I0417 09:22:53.632962 4776 net.cpp:150] Setting up conv9/dw/relu
I0417 09:22:53.633049 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.633086 4776 net.cpp:165] Memory required for data: 3239129120
I0417 09:22:53.633116 4776 layer_factory.hpp:77] Creating layer conv9
I0417 09:22:53.633150 4776 net.cpp:100] Creating Layer conv9
I0417 09:22:53.633183 4776 net.cpp:434] conv9 <- conv9/dw
I0417 09:22:53.633215 4776 net.cpp:408] conv9 -> conv9
F0417 09:22:53.641669 4779 math_functions.cpp:250] Check failed: a <= b (0 vs. -1.19209e-07)
I0417 09:22:53.642468 4776 net.cpp:150] Setting up conv9
I0417 09:22:53.643121 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.643157 4776 net.cpp:165] Memory required for data: 3256872992
I0417 09:22:53.643193 4776 layer_factory.hpp:77] Creating layer conv9/bn
I0417 09:22:53.643234 4776 net.cpp:100] Creating Layer conv9/bn
I0417 09:22:53.643278 4776 net.cpp:434] conv9/bn <- conv9
I0417 09:22:53.643312 4776 net.cpp:395] conv9/bn -> conv9 (in-place)
I0417 09:22:53.643433 4776 net.cpp:150] Setting up conv9/bn
I0417 09:22:53.643469 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.643501 4776 net.cpp:165] Memory required for data: 3274616864
I0417 09:22:53.643535 4776 layer_factory.hpp:77] Creating layer conv9/scale
I0417 09:22:53.643569 4776 net.cpp:100] Creating Layer conv9/scale
I0417 09:22:53.643601 4776 net.cpp:434] conv9/scale <- conv9
I0417 09:22:53.643633 4776 net.cpp:395] conv9/scale -> conv9 (in-place)
I0417 09:22:53.643676 4776 layer_factory.hpp:77] Creating layer conv9/scale
I0417 09:22:53.643723 4776 net.cpp:150] Setting up conv9/scale
I0417 09:22:53.643755 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.643787 4776 net.cpp:165] Memory required for data: 3292360736
I0417 09:22:53.643820 4776 layer_factory.hpp:77] Creating layer conv9/relu
I0417 09:22:53.643852 4776 net.cpp:100] Creating Layer conv9/relu
I0417 09:22:53.643941 4776 net.cpp:434] conv9/relu <- conv9
I0417 09:22:53.643976 4776 net.cpp:395] conv9/relu -> conv9 (in-place)
I0417 09:22:53.644011 4776 net.cpp:150] Setting up conv9/relu
I0417 09:22:53.644042 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.644073 4776 net.cpp:165] Memory required for data: 3310104608
I0417 09:22:53.644102 4776 layer_factory.hpp:77] Creating layer conv10/dw
I0417 09:22:53.644136 4776 net.cpp:100] Creating Layer conv10/dw
I0417 09:22:53.644168 4776 net.cpp:434] conv10/dw <- conv9
I0417 09:22:53.644203 4776 net.cpp:408] conv10/dw -> conv10/dw
I0417 09:22:53.644292 4776 net.cpp:150] Setting up conv10/dw
I0417 09:22:53.644326 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.644357 4776 net.cpp:165] Memory required for data: 3327848480
I0417 09:22:53.644389 4776 layer_factory.hpp:77] Creating layer conv10/dw/bn
I0417 09:22:53.644479 4776 net.cpp:100] Creating Layer conv10/dw/bn
I0417 09:22:53.644516 4776 net.cpp:434] conv10/dw/bn <- conv10/dw
I0417 09:22:53.644551 4776 net.cpp:395] conv10/dw/bn -> conv10/dw (in-place)
I0417 09:22:53.644598 4776 net.cpp:150] Setting up conv10/dw/bn
I0417 09:22:53.644630 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.644661 4776 net.cpp:165] Memory required for data: 3345592352
I0417 09:22:53.644695 4776 layer_factory.hpp:77] Creating layer conv10/dw/scale
I0417 09:22:53.644728 4776 net.cpp:100] Creating Layer conv10/dw/scale
I0417 09:22:53.644759 4776 net.cpp:434] conv10/dw/scale <- conv10/dw
I0417 09:22:53.644791 4776 net.cpp:395] conv10/dw/scale -> conv10/dw (in-place)
I0417 09:22:53.644830 4776 layer_factory.hpp:77] Creating layer conv10/dw/scale
I0417 09:22:53.644876 4776 net.cpp:150] Setting up conv10/dw/scale
I0417 09:22:53.644910 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.644942 4776 net.cpp:165] Memory required for data: 3363336224
I0417 09:22:53.645032 4776 layer_factory.hpp:77] Creating layer conv10/dw/relu
I0417 09:22:53.645066 4776 net.cpp:100] Creating Layer conv10/dw/relu
I0417 09:22:53.645097 4776 net.cpp:434] conv10/dw/relu <- conv10/dw
I0417 09:22:53.645128 4776 net.cpp:395] conv10/dw/relu -> conv10/dw (in-place)
I0417 09:22:53.645162 4776 net.cpp:150] Setting up conv10/dw/relu
I0417 09:22:53.645193 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.645224 4776 net.cpp:165] Memory required for data: 3381080096
I0417 09:22:53.645254 4776 layer_factory.hpp:77] Creating layer conv10
I0417 09:22:53.645287 4776 net.cpp:100] Creating Layer conv10
I0417 09:22:53.645318 4776 net.cpp:434] conv10 <- conv10/dw
I0417 09:22:53.645350 4776 net.cpp:408] conv10 -> conv10
I0417 09:22:53.648103 4776 net.cpp:150] Setting up conv10
*** Check failure stack trace: ***
I0417 09:22:53.650470 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.650523 4776 net.cpp:165] Memory required for data: 3398823968
I0417 09:22:53.650557 4776 layer_factory.hpp:77] Creating layer conv10/bn
I0417 09:22:53.650599 4776 net.cpp:100] Creating Layer conv10/bn
I0417 09:22:53.650631 4776 net.cpp:434] conv10/bn <- conv10
I0417 09:22:53.650665 4776 net.cpp:395] conv10/bn -> conv10 (in-place)
I0417 09:22:53.650709 4776 net.cpp:150] Setting up conv10/bn
I0417 09:22:53.650743 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.650774 4776 net.cpp:165] Memory required for data: 3416567840
I0417 09:22:53.650807 4776 layer_factory.hpp:77] Creating layer conv10/scale
I0417 09:22:53.650840 4776 net.cpp:100] Creating Layer conv10/scale
I0417 09:22:53.650872 4776 net.cpp:434] conv10/scale <- conv10
I0417 09:22:53.650904 4776 net.cpp:395] conv10/scale -> conv10 (in-place)
I0417 09:22:53.650977 4776 layer_factory.hpp:77] Creating layer conv10/scale
I0417 09:22:53.651049 4776 net.cpp:150] Setting up conv10/scale
I0417 09:22:53.651096 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.651129 4776 net.cpp:165] Memory required for data: 3434311712
I0417 09:22:53.651161 4776 layer_factory.hpp:77] Creating layer conv10/relu
I0417 09:22:53.651193 4776 net.cpp:100] Creating Layer conv10/relu
I0417 09:22:53.651226 4776 net.cpp:434] conv10/relu <- conv10
I0417 09:22:53.651257 4776 net.cpp:395] conv10/relu -> conv10 (in-place)
I0417 09:22:53.651290 4776 net.cpp:150] Setting up conv10/relu
I0417 09:22:53.651320 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.651352 4776 net.cpp:165] Memory required for data: 3452055584
I0417 09:22:53.651382 4776 layer_factory.hpp:77] Creating layer conv11/dw
I0417 09:22:53.651415 4776 net.cpp:100] Creating Layer conv11/dw
I0417 09:22:53.651446 4776 net.cpp:434] conv11/dw <- conv10
I0417 09:22:53.651479 4776 net.cpp:408] conv11/dw -> conv11/dw
I0417 09:22:53.651657 4776 net.cpp:150] Setting up conv11/dw
I0417 09:22:53.651693 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.651726 4776 net.cpp:165] Memory required for data: 3469799456
I0417 09:22:53.651757 4776 layer_factory.hpp:77] Creating layer conv11/dw/bn
I0417 09:22:53.651793 4776 net.cpp:100] Creating Layer conv11/dw/bn
I0417 09:22:53.651824 4776 net.cpp:434] conv11/dw/bn <- conv11/dw
I0417 09:22:53.651859 4776 net.cpp:395] conv11/dw/bn -> conv11/dw (in-place)
I0417 09:22:53.651898 4776 net.cpp:150] Setting up conv11/dw/bn
I0417 09:22:53.651932 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.651963 4776 net.cpp:165] Memory required for data: 3487543328
I0417 09:22:53.652004 4776 layer_factory.hpp:77] Creating layer conv11/dw/scale
I0417 09:22:53.652096 4776 net.cpp:100] Creating Layer conv11/dw/scale
I0417 09:22:53.652132 4776 net.cpp:434] conv11/dw/scale <- conv11/dw
I0417 09:22:53.652164 4776 net.cpp:395] conv11/dw/scale -> conv11/dw (in-place)
I0417 09:22:53.652201 4776 layer_factory.hpp:77] Creating layer conv11/dw/scale
I0417 09:22:53.652247 4776 net.cpp:150] Setting up conv11/dw/scale
I0417 09:22:53.652281 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.652328 4776 net.cpp:165] Memory required for data: 3505287200
I0417 09:22:53.652384 4776 layer_factory.hpp:77] Creating layer conv11/dw/relu
I0417 09:22:53.652432 4776 net.cpp:100] Creating Layer conv11/dw/relu
I0417 09:22:53.652464 4776 net.cpp:434] conv11/dw/relu <- conv11/dw
I0417 09:22:53.652510 4776 net.cpp:395] conv11/dw/relu -> conv11/dw (in-place)
I0417 09:22:53.652544 4776 net.cpp:150] Setting up conv11/dw/relu
I0417 09:22:53.652616 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.652649 4776 net.cpp:165] Memory required for data: 3523031072
I0417 09:22:53.652681 4776 layer_factory.hpp:77] Creating layer conv11
I0417 09:22:53.652719 4776 net.cpp:100] Creating Layer conv11
I0417 09:22:53.652751 4776 net.cpp:434] conv11 <- conv11/dw
I0417 09:22:53.652802 4776 net.cpp:408] conv11 -> conv11
I0417 09:22:53.665464 4776 net.cpp:150] Setting up conv11
I0417 09:22:53.665539 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.665577 4776 net.cpp:165] Memory required for data: 3540774944
I0417 09:22:53.665612 4776 layer_factory.hpp:77] Creating layer conv11/bn
I0417 09:22:53.665709 4776 net.cpp:100] Creating Layer conv11/bn
I0417 09:22:53.665750 4776 net.cpp:434] conv11/bn <- conv11
I0417 09:22:53.665784 4776 net.cpp:395] conv11/bn -> conv11 (in-place)
I0417 09:22:53.665835 4776 net.cpp:150] Setting up conv11/bn
I0417 09:22:53.665868 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.665901 4776 net.cpp:165] Memory required for data: 3558518816
I0417 09:22:53.665935 4776 layer_factory.hpp:77] Creating layer conv11/scale
I0417 09:22:53.665971 4776 net.cpp:100] Creating Layer conv11/scale
I0417 09:22:53.666002 4776 net.cpp:434] conv11/scale <- conv11
I0417 09:22:53.666035 4776 net.cpp:395] conv11/scale -> conv11 (in-place)
I0417 09:22:53.666074 4776 layer_factory.hpp:77] Creating layer conv11/scale
I0417 09:22:53.666119 4776 net.cpp:150] Setting up conv11/scale
I0417 09:22:53.666153 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.666241 4776 net.cpp:165] Memory required for data: 3576262688
I0417 09:22:53.666290 4776 layer_factory.hpp:77] Creating layer conv11/relu
I0417 09:22:53.666323 4776 net.cpp:100] Creating Layer conv11/relu
I0417 09:22:53.666354 4776 net.cpp:434] conv11/relu <- conv11
I0417 09:22:53.666386 4776 net.cpp:395] conv11/relu -> conv11 (in-place)
I0417 09:22:53.666419 4776 net.cpp:150] Setting up conv11/relu
I0417 09:22:53.666450 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.666482 4776 net.cpp:165] Memory required for data: 3594006560
I0417 09:22:53.666512 4776 layer_factory.hpp:77] Creating layer conv11_conv11/relu_0_split
I0417 09:22:53.666553 4776 net.cpp:100] Creating Layer conv11_conv11/relu_0_split
I0417 09:22:53.666584 4776 net.cpp:434] conv11_conv11/relu_0_split <- conv11
I0417 09:22:53.666620 4776 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_0
I0417 09:22:53.666658 4776 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_1
I0417 09:22:53.666693 4776 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_2
I0417 09:22:53.667929 4776 net.cpp:408] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_3
I0417 09:22:53.668007 4776 net.cpp:150] Setting up conv11_conv11/relu_0_split
I0417 09:22:53.668042 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.668077 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.668110 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.668152 4776 net.cpp:157] Top shape: 24 512 19 19 (4435968)
I0417 09:22:53.668190 4776 net.cpp:165] Memory required for data: 3664982048
I0417 09:22:53.668222 4776 layer_factory.hpp:77] Creating layer conv12/dw
I0417 09:22:53.668263 4776 net.cpp:100] Creating Layer conv12/dw
I0417 09:22:53.668301 4776 net.cpp:434] conv12/dw <- conv11_conv11/relu_0_split_0
I0417 09:22:53.668442 4776 net.cpp:408] conv12/dw -> conv12/dw
I0417 09:22:53.669021 4776 net.cpp:150] Setting up conv12/dw
I0417 09:22:53.669098 4776 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:53.669137 4776 net.cpp:165] Memory required for data: 3669897248
I0417 09:22:53.669171 4776 layer_factory.hpp:77] Creating layer conv12/dw/bn
I0417 09:22:53.669229 4776 net.cpp:100] Creating Layer conv12/dw/bn
I0417 09:22:53.669267 4776 net.cpp:434] conv12/dw/bn <- conv12/dw
I0417 09:22:53.669301 4776 net.cpp:395] conv12/dw/bn -> conv12/dw (in-place)
I0417 09:22:53.669344 4776 net.cpp:150] Setting up conv12/dw/bn
@ 0x7fab29aac1c3 google::LogMessage::Fail()
I0417 09:22:53.671114 4776 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:53.671314 4776 net.cpp:165] Memory required for data: 3674812448
I0417 09:22:53.675058 4776 layer_factory.hpp:77] Creating layer conv12/dw/scale
I0417 09:22:53.675115 4776 net.cpp:100] Creating Layer conv12/dw/scale
I0417 09:22:53.675179 4776 net.cpp:434] conv12/dw/scale <- conv12/dw
I0417 09:22:53.675215 4776 net.cpp:395] conv12/dw/scale -> conv12/dw (in-place)
I0417 09:22:53.675262 4776 layer_factory.hpp:77] Creating layer conv12/dw/scale
I0417 09:22:53.675310 4776 net.cpp:150] Setting up conv12/dw/scale
I0417 09:22:53.675344 4776 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:53.675377 4776 net.cpp:165] Memory required for data: 3679727648
I0417 09:22:53.675410 4776 layer_factory.hpp:77] Creating layer conv12/dw/relu
I0417 09:22:53.675504 4776 net.cpp:100] Creating Layer conv12/dw/relu
I0417 09:22:53.675539 4776 net.cpp:434] conv12/dw/relu <- conv12/dw
I0417 09:22:53.675570 4776 net.cpp:395] conv12/dw/relu -> conv12/dw (in-place)
I0417 09:22:53.675604 4776 net.cpp:150] Setting up conv12/dw/relu
I0417 09:22:53.675635 4776 net.cpp:157] Top shape: 24 512 10 10 (1228800)
I0417 09:22:53.675668 4776 net.cpp:165] Memory required for data: 3684642848
I0417 09:22:53.675698 4776 layer_factory.hpp:77] Creating layer conv12
I0417 09:22:53.675745 4776 net.cpp:100] Creating Layer conv12
I0417 09:22:53.675776 4776 net.cpp:434] conv12 <- conv12/dw
I0417 09:22:53.675808 4776 net.cpp:408] conv12 -> conv12
I0417 09:22:53.681180 4776 net.cpp:150] Setting up conv12
@ 0x7fab29ab1263 google::LogMessage::SendToLog()
@ 0x7fab29aabebf google::LogMessage::Flush()
I0417 09:22:53.684434 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.684491 4776 net.cpp:165] Memory required for data: 3694473248
I0417 09:22:53.684526 4776 layer_factory.hpp:77] Creating layer conv12/bn
I0417 09:22:53.684568 4776 net.cpp:100] Creating Layer conv12/bn
I0417 09:22:53.684603 4776 net.cpp:434] conv12/bn <- conv12
I0417 09:22:53.684638 4776 net.cpp:395] conv12/bn -> conv12 (in-place)
I0417 09:22:53.684717 4776 net.cpp:150] Setting up conv12/bn
I0417 09:22:53.684753 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.684788 4776 net.cpp:165] Memory required for data: 3704303648
I0417 09:22:53.684825 4776 layer_factory.hpp:77] Creating layer conv12/scale
I0417 09:22:53.684862 4776 net.cpp:100] Creating Layer conv12/scale
I0417 09:22:53.684895 4776 net.cpp:434] conv12/scale <- conv12
I0417 09:22:53.684927 4776 net.cpp:395] conv12/scale -> conv12 (in-place)
I0417 09:22:53.684968 4776 layer_factory.hpp:77] Creating layer conv12/scale
I0417 09:22:53.685014 4776 net.cpp:150] Setting up conv12/scale
I0417 09:22:53.685047 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.685079 4776 net.cpp:165] Memory required for data: 3714134048
I0417 09:22:53.685112 4776 layer_factory.hpp:77] Creating layer conv12/relu
I0417 09:22:53.685144 4776 net.cpp:100] Creating Layer conv12/relu
I0417 09:22:53.685175 4776 net.cpp:434] conv12/relu <- conv12
I0417 09:22:53.685231 4776 net.cpp:395] conv12/relu -> conv12 (in-place)
I0417 09:22:53.685268 4776 net.cpp:150] Setting up conv12/relu
I0417 09:22:53.685300 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.685333 4776 net.cpp:165] Memory required for data: 3723964448
I0417 09:22:53.685364 4776 layer_factory.hpp:77] Creating layer conv13/dw
I0417 09:22:53.685402 4776 net.cpp:100] Creating Layer conv13/dw
I0417 09:22:53.685434 4776 net.cpp:434] conv13/dw <- conv12
I0417 09:22:53.685467 4776 net.cpp:408] conv13/dw -> conv13/dw
I0417 09:22:53.685600 4776 net.cpp:150] Setting up conv13/dw
I0417 09:22:53.685636 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.685668 4776 net.cpp:165] Memory required for data: 3733794848
I0417 09:22:53.685699 4776 layer_factory.hpp:77] Creating layer conv13/dw/bn
I0417 09:22:53.685732 4776 net.cpp:100] Creating Layer conv13/dw/bn
I0417 09:22:53.685827 4776 net.cpp:434] conv13/dw/bn <- conv13/dw
I0417 09:22:53.685863 4776 net.cpp:395] conv13/dw/bn -> conv13/dw (in-place)
I0417 09:22:53.685909 4776 net.cpp:150] Setting up conv13/dw/bn
I0417 09:22:53.685941 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.685974 4776 net.cpp:165] Memory required for data: 3743625248
I0417 09:22:53.686009 4776 layer_factory.hpp:77] Creating layer conv13/dw/scale
I0417 09:22:53.686070 4776 net.cpp:100] Creating Layer conv13/dw/scale
I0417 09:22:53.686102 4776 net.cpp:434] conv13/dw/scale <- conv13/dw
I0417 09:22:53.686136 4776 net.cpp:395] conv13/dw/scale -> conv13/dw (in-place)
I0417 09:22:53.686177 4776 layer_factory.hpp:77] Creating layer conv13/dw/scale
I0417 09:22:53.686223 4776 net.cpp:150] Setting up conv13/dw/scale
I0417 09:22:53.686255 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.686326 4776 net.cpp:165] Memory required for data: 3753455648
I0417 09:22:53.686383 4776 layer_factory.hpp:77] Creating layer conv13/dw/relu
I0417 09:22:53.686415 4776 net.cpp:100] Creating Layer conv13/dw/relu
I0417 09:22:53.686446 4776 net.cpp:434] conv13/dw/relu <- conv13/dw
I0417 09:22:53.686478 4776 net.cpp:395] conv13/dw/relu -> conv13/dw (in-place)
I0417 09:22:53.686511 4776 net.cpp:150] Setting up conv13/dw/relu
I0417 09:22:53.686543 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.686574 4776 net.cpp:165] Memory required for data: 3763286048
I0417 09:22:53.686604 4776 layer_factory.hpp:77] Creating layer conv13
I0417 09:22:53.686641 4776 net.cpp:100] Creating Layer conv13
I0417 09:22:53.686708 4776 net.cpp:434] conv13 <- conv13/dw
I0417 09:22:53.686741 4776 net.cpp:408] conv13 -> conv13
@ 0x7fab29aac6ef google::LogMessageFatal::~LogMessageFatal()
@ 0x7fab29d52539 caffe::caffe_rng_uniform<>()
I0417 09:22:53.716557 4776 net.cpp:150] Setting up conv13
@ 0x7fab29d0e81f caffe::SampleBBox()
@ 0x7fab29d0eb98 caffe::GenerateSamples()
I0417 09:22:53.719826 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.719883 4776 net.cpp:165] Memory required for data: 3773116448
I0417 09:22:53.719919 4776 layer_factory.hpp:77] Creating layer conv13/bn
I0417 09:22:53.719957 4776 net.cpp:100] Creating Layer conv13/bn
I0417 09:22:53.720036 4776 net.cpp:434] conv13/bn <- conv13
I0417 09:22:53.720242 4776 net.cpp:395] conv13/bn -> conv13 (in-place)
I0417 09:22:53.720343 4776 net.cpp:150] Setting up conv13/bn
I0417 09:22:53.720381 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.720414 4776 net.cpp:165] Memory required for data: 3782946848
I0417 09:22:53.720458 4776 layer_factory.hpp:77] Creating layer conv13/scale
I0417 09:22:53.720496 4776 net.cpp:100] Creating Layer conv13/scale
I0417 09:22:53.720528 4776 net.cpp:434] conv13/scale <- conv13
I0417 09:22:53.720638 4776 net.cpp:395] conv13/scale -> conv13 (in-place)
I0417 09:22:53.720696 4776 layer_factory.hpp:77] Creating layer conv13/scale
I0417 09:22:53.720747 4776 net.cpp:150] Setting up conv13/scale
I0417 09:22:53.720791 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.720826 4776 net.cpp:165] Memory required for data: 3792777248
I0417 09:22:53.720863 4776 layer_factory.hpp:77] Creating layer conv13/relu
I0417 09:22:53.720906 4776 net.cpp:100] Creating Layer conv13/relu
I0417 09:22:53.720945 4776 net.cpp:434] conv13/relu <- conv13
I0417 09:22:53.721000 4776 net.cpp:395] conv13/relu -> conv13 (in-place)
I0417 09:22:53.721035 4776 net.cpp:150] Setting up conv13/relu
I0417 09:22:53.721066 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.721163 4776 net.cpp:165] Memory required for data: 3802607648
I0417 09:22:53.721235 4776 layer_factory.hpp:77] Creating layer conv13_conv13/relu_0_split
I0417 09:22:53.721282 4776 net.cpp:100] Creating Layer conv13_conv13/relu_0_split
I0417 09:22:53.721324 4776 net.cpp:434] conv13_conv13/relu_0_split <- conv13
I0417 09:22:53.721379 4776 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_0
I0417 09:22:53.721508 4776 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_1
I0417 09:22:53.722052 4776 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_2
I0417 09:22:53.725363 4776 net.cpp:408] conv13_conv13/relu_0_split -> conv13_conv13/relu_0_split_3
I0417 09:22:53.725387 4776 net.cpp:150] Setting up conv13_conv13/relu_0_split
I0417 09:22:53.725396 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.725406 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.725414 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.725420 4776 net.cpp:157] Top shape: 24 1024 10 10 (2457600)
I0417 09:22:53.729140 4776 net.cpp:165] Memory required for data: 3841929248
I0417 09:22:53.729215 4776 layer_factory.hpp:77] Creating layer conv14_1
I0417 09:22:53.729275 4776 net.cpp:100] Creating Layer conv14_1
I0417 09:22:53.729322 4776 net.cpp:434] conv14_1 <- conv13_conv13/relu_0_split_0
I0417 09:22:53.729359 4776 net.cpp:408] conv14_1 -> conv14_1
I0417 09:22:53.737803 4776 net.cpp:150] Setting up conv14_1
I0417 09:22:53.738797 4776 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:53.738883 4776 net.cpp:165] Memory required for data: 3844386848
I0417 09:22:53.738936 4776 layer_factory.hpp:77] Creating layer conv14_1/bn
I0417 09:22:53.738994 4776 net.cpp:100] Creating Layer conv14_1/bn
I0417 09:22:53.739090 4776 net.cpp:434] conv14_1/bn <- conv14_1
I0417 09:22:53.739156 4776 net.cpp:395] conv14_1/bn -> conv14_1 (in-place)
I0417 09:22:53.739230 4776 net.cpp:150] Setting up conv14_1/bn
I0417 09:22:53.739264 4776 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:53.739296 4776 net.cpp:165] Memory required for data: 3846844448
I0417 09:22:53.739332 4776 layer_factory.hpp:77] Creating layer conv14_1/scale
I0417 09:22:53.739369 4776 net.cpp:100] Creating Layer conv14_1/scale
I0417 09:22:53.739400 4776 net.cpp:434] conv14_1/scale <- conv14_1
I0417 09:22:53.739432 4776 net.cpp:395] conv14_1/scale -> conv14_1 (in-place)
I0417 09:22:53.739475 4776 layer_factory.hpp:77] Creating layer conv14_1/scale
I0417 09:22:53.739519 4776 net.cpp:150] Setting up conv14_1/scale
I0417 09:22:53.739553 4776 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:53.739585 4776 net.cpp:165] Memory required for data: 3849302048
I0417 09:22:53.739678 4776 layer_factory.hpp:77] Creating layer conv14_1/relu
I0417 09:22:53.739715 4776 net.cpp:100] Creating Layer conv14_1/relu
I0417 09:22:53.739760 4776 net.cpp:434] conv14_1/relu <- conv14_1
I0417 09:22:53.739791 4776 net.cpp:395] conv14_1/relu -> conv14_1 (in-place)
I0417 09:22:53.739825 4776 net.cpp:150] Setting up conv14_1/relu
I0417 09:22:53.739857 4776 net.cpp:157] Top shape: 24 256 10 10 (614400)
I0417 09:22:53.739888 4776 net.cpp:165] Memory required for data: 3851759648
I0417 09:22:53.739918 4776 layer_factory.hpp:77] Creating layer conv14_2
I0417 09:22:53.739956 4776 net.cpp:100] Creating Layer conv14_2
@ 0x7fab29d0ed78 caffe::GenerateBatchSamples()
I0417 09:22:53.740288 4776 net.cpp:434] conv14_2 <- conv14_1
I0417 09:22:53.740340 4776 net.cpp:408] conv14_2 -> conv14_2
@ 0x7fab29e9f165 caffe::AnnotatedDataLayer<>::load_batch()
@ 0x7fab29e0b2ff caffe::BasePrefetchingDataLayer<>::InternalThreadEntry()
@ 0x7fab283051b5 (unknown)
@ 0x7fab25fa1669 start_thread
I0417 09:22:53.776453 4776 net.cpp:150] Setting up conv14_2
I0417 09:22:53.776548 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.776585 4776 net.cpp:165] Memory required for data: 3852988448
I0417 09:22:53.776677 4776 layer_factory.hpp:77] Creating layer conv14_2/bn
I0417 09:22:53.776717 4776 net.cpp:100] Creating Layer conv14_2/bn
I0417 09:22:53.776751 4776 net.cpp:434] conv14_2/bn <- conv14_2
I0417 09:22:53.776785 4776 net.cpp:395] conv14_2/bn -> conv14_2 (in-place)
I0417 09:22:53.776834 4776 net.cpp:150] Setting up conv14_2/bn
I0417 09:22:53.776867 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.776899 4776 net.cpp:165] Memory required for data: 3854217248
I0417 09:22:53.776932 4776 layer_factory.hpp:77] Creating layer conv14_2/scale
I0417 09:22:53.776968 4776 net.cpp:100] Creating Layer conv14_2/scale
I0417 09:22:53.776999 4776 net.cpp:434] conv14_2/scale <- conv14_2
I0417 09:22:53.777031 4776 net.cpp:395] conv14_2/scale -> conv14_2 (in-place)
I0417 09:22:53.777073 4776 layer_factory.hpp:77] Creating layer conv14_2/scale
I0417 09:22:53.777120 4776 net.cpp:150] Setting up conv14_2/scale
I0417 09:22:53.777206 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.777245 4776 net.cpp:165] Memory required for data: 3855446048
I0417 09:22:53.777294 4776 layer_factory.hpp:77] Creating layer conv14_2/relu
I0417 09:22:53.777333 4776 net.cpp:100] Creating Layer conv14_2/relu
I0417 09:22:53.777364 4776 net.cpp:434] conv14_2/relu <- conv14_2
I0417 09:22:53.777396 4776 net.cpp:395] conv14_2/relu -> conv14_2 (in-place)
I0417 09:22:53.777472 4776 net.cpp:150] Setting up conv14_2/relu
I0417 09:22:53.777503 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.777535 4776 net.cpp:165] Memory required for data: 3856674848
I0417 09:22:53.777565 4776 layer_factory.hpp:77] Creating layer conv14_2_conv14_2/relu_0_split
I0417 09:22:53.777601 4776 net.cpp:100] Creating Layer conv14_2_conv14_2/relu_0_split
I0417 09:22:53.777632 4776 net.cpp:434] conv14_2_conv14_2/relu_0_split <- conv14_2
I0417 09:22:53.777665 4776 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_0
I0417 09:22:53.777756 4776 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_1
I0417 09:22:53.777797 4776 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_2
I0417 09:22:53.777832 4776 net.cpp:408] conv14_2_conv14_2/relu_0_split -> conv14_2_conv14_2/relu_0_split_3
I0417 09:22:53.777868 4776 net.cpp:150] Setting up conv14_2_conv14_2/relu_0_split
I0417 09:22:53.777899 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.777931 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.777962 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.777993 4776 net.cpp:157] Top shape: 24 512 5 5 (307200)
I0417 09:22:53.778024 4776 net.cpp:165] Memory required for data: 3861590048
I0417 09:22:53.778054 4776 layer_factory.hpp:77] Creating layer conv15_1
I0417 09:22:53.778093 4776 net.cpp:100] Creating Layer conv15_1
I0417 09:22:53.778126 4776 net.cpp:434] conv15_1 <- conv14_2_conv14_2/relu_0_split_0
I0417 09:22:53.778159 4776 net.cpp:408] conv15_1 -> conv15_1
@ 0x7fab28f9c323 clone
I0417 09:22:53.782259 4776 net.cpp:150] Setting up conv15_1
I0417 09:22:53.782317 4776 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:53.782351 4776 net.cpp:165] Memory required for data: 3861897248
I0417 09:22:53.782385 4776 layer_factory.hpp:77] Creating layer conv15_1/bn
I0417 09:22:53.782421 4776 net.cpp:100] Creating Layer conv15_1/bn
I0417 09:22:53.782454 4776 net.cpp:434] conv15_1/bn <- conv15_1
I0417 09:22:53.782486 4776 net.cpp:395] conv15_1/bn -> conv15_1 (in-place)
I0417 09:22:53.782531 4776 net.cpp:150] Setting up conv15_1/bn
I0417 09:22:53.782563 4776 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:53.782681 4776 net.cpp:165] Memory required for data: 3862204448
I0417 09:22:53.782719 4776 layer_factory.hpp:77] Creating layer conv15_1/scale
I0417 09:22:53.782757 4776 net.cpp:100] Creating Layer conv15_1/scale
I0417 09:22:53.782790 4776 net.cpp:434] conv15_1/scale <- conv15_1
I0417 09:22:53.782824 4776 net.cpp:395] conv15_1/scale -> conv15_1 (in-place)
I0417 09:22:53.782861 4776 layer_factory.hpp:77] Creating layer conv15_1/scale
I0417 09:22:53.782903 4776 net.cpp:150] Setting up conv15_1/scale
I0417 09:22:53.782935 4776 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:53.782969 4776 net.cpp:165] Memory required for data: 3862511648
I0417 09:22:53.783001 4776 layer_factory.hpp:77] Creating layer conv15_1/relu
I0417 09:22:53.783035 4776 net.cpp:100] Creating Layer conv15_1/relu
I0417 09:22:53.783064 4776 net.cpp:434] conv15_1/relu <- conv15_1
I0417 09:22:53.783097 4776 net.cpp:395] conv15_1/relu -> conv15_1 (in-place)
I0417 09:22:53.783188 4776 net.cpp:150] Setting up conv15_1/relu
I0417 09:22:53.783223 4776 net.cpp:157] Top shape: 24 128 5 5 (76800)
I0417 09:22:53.783268 4776 net.cpp:165] Memory required for data: 3862818848
I0417 09:22:53.783298 4776 layer_factory.hpp:77] Creating layer conv15_2
I0417 09:22:53.783332 4776 net.cpp:100] Creating Layer conv15_2
I0417 09:22:53.783365 4776 net.cpp:434] conv15_2 <- conv15_1
I0417 09:22:53.783396 4776 net.cpp:408] conv15_2 -> conv15_2
I0417 09:22:53.786316 4776 net.cpp:150] Setting up conv15_2
Aborted (core dumped)
Developer
Jun 23, 2020, 5:25:30 PM6/23/20
to Caffe Users
where is the problem ???
Tamas Nemes
Jun 24, 2020, 2:20:52 PM6/24/20
to Caffe Users
I assume this should be a memory issue after the network re-initialises. How much RAM does your system have?
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