ALI RAZA
Jul 20, 2018, 7:53:36 AM7/20/18
to Caffe Users
when i run the following command it generates following error
details: OS Ubuntu16.04, CPU_ONLY
plz help me
ali@ali-SVE1511MFXS:~/SegNet-Tutorial$ python Scripts/webcam_demo.py --model Example_Models/segnet_model_driving_webdemo.prototxt --weights Example_Models/segnet_weights_driving_webdemo.caffemodel --colours Scripts/camvid12.png
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0720 16:45:36.767998 3869 net.cpp:42] Initializing net from parameters:
name: "VGG_ILSVRC_16_layer"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 360
input_dim: 480
state {
phase: TEST
}
layer {
name: "conv1_1"
type: "Convolution"
bottom: "data"
top: "conv1_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_1_bn"
type: "BN"
bottom: "conv1_1"
top: "conv1_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_2_bn"
type: "BN"
bottom: "conv1_2"
top: "conv1_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1_2"
top: "pool1"
top: "pool1_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "pool1"
top: "conv2_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_1_bn"
type: "BN"
bottom: "conv2_1"
top: "conv2_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_2_bn"
type: "BN"
bottom: "conv2_2"
top: "conv2_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2_2"
top: "pool2"
top: "pool2_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "pool2"
top: "conv3_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_1_bn"
type: "BN"
bottom: "conv3_1"
top: "conv3_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_2_bn"
type: "BN"
bottom: "conv3_2"
top: "conv3_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_3_bn"
type: "BN"
bottom: "conv3_3"
top: "conv3_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3_3"
top: "pool3"
top: "pool3_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "pool3"
top: "conv4_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_1_bn"
type: "BN"
bottom: "conv4_1"
top: "conv4_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_2_bn"
type: "BN"
bottom: "conv4_2"
top: "conv4_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_3_bn"
type: "BN"
bottom: "conv4_3"
top: "conv4_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "pool4"
type: "Pooling"
bottom: "conv4_3"
top: "pool4"
top: "pool4_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "pool4"
top: "conv5_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_1_bn"
type: "BN"
bottom: "conv5_1"
top: "conv5_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_2_bn"
type: "BN"
bottom: "conv5_2"
top: "conv5_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_3_bn"
type: "BN"
bottom: "conv5_3"
top: "conv5_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "conv5_3"
top: "pool5"
top: "pool5_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "upsample5"
type: "Upsample"
bottom: "pool5"
bottom: "pool5_mask"
top: "pool5_D"
upsample_param {
scale: 2
upsample_h: 23
upsample_w: 30
}
}
layer {
name: "conv5_3_D"
type: "Convolution"
bottom: "pool5_D"
top: "conv5_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_3_D_bn"
type: "BN"
bottom: "conv5_3_D"
top: "conv5_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_3_D"
type: "ReLU"
bottom: "conv5_3_D"
top: "conv5_3_D"
}
layer {
name: "conv5_2_D"
type: "Convolution"
bottom: "conv5_3_D"
top: "conv5_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_2_D_bn"
type: "BN"
bottom: "conv5_2_D"
top: "conv5_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_2_D"
type: "ReLU"
bottom: "conv5_2_D"
top: "conv5_2_D"
}
layer {
name: "conv5_1_D"
type: "Convolution"
bottom: "conv5_2_D"
top: "conv5_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_1_D_bn"
type: "BN"
bottom: "conv5_1_D"
top: "conv5_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_1_D"
type: "ReLU"
bottom: "conv5_1_D"
top: "conv5_1_D"
}
layer {
name: "upsample4"
type: "Upsample"
bottom: "conv5_1_D"
bottom: "pool4_mask"
top: "pool4_D"
upsample_param {
scale: 2
upsample_h: 45
upsample_w: 60
}
}
layer {
name: "conv4_3_D"
type: "Convolution"
bottom: "pool4_D"
top: "conv4_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_3_D_bn"
type: "BN"
bottom: "conv4_3_D"
top: "conv4_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_3_D"
type: "ReLU"
bottom: "conv4_3_D"
top: "conv4_3_D"
}
layer {
name: "conv4_2_D"
type: "Convolution"
bottom: "conv4_3_D"
top: "conv4_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_2_D_bn"
type: "BN"
bottom: "conv4_2_D"
top: "conv4_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_2_D"
type: "ReLU"
bottom: "conv4_2_D"
top: "conv4_2_D"
}
layer {
name: "conv4_1_D"
type: "Convolution"
bottom: "conv4_2_D"
top: "conv4_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_1_D_bn"
type: "BN"
bottom: "conv4_1_D"
top: "conv4_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_1_D"
type: "ReLU"
bottom: "conv4_1_D"
top: "conv4_1_D"
}
layer {
name: "upsample3"
type: "Upsample"
bottom: "conv4_1_D"
bottom: "pool3_mask"
top: "pool3_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv3_3_D"
type: "Convolution"
bottom: "pool3_D"
top: "conv3_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_3_D_bn"
type: "BN"
bottom: "conv3_3_D"
top: "conv3_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_3_D"
type: "ReLU"
bottom: "conv3_3_D"
top: "conv3_3_D"
}
layer {
name: "conv3_2_D"
type: "Convolution"
bottom: "conv3_3_D"
top: "conv3_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_2_D_bn"
type: "BN"
bottom: "conv3_2_D"
top: "conv3_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_2_D"
type: "ReLU"
bottom: "conv3_2_D"
top: "conv3_2_D"
}
layer {
name: "conv3_1_D"
type: "Convolution"
bottom: "conv3_2_D"
top: "conv3_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_1_D_bn"
type: "BN"
bottom: "conv3_1_D"
top: "conv3_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_1_D"
type: "ReLU"
bottom: "conv3_1_D"
top: "conv3_1_D"
}
layer {
name: "upsample2"
type: "Upsample"
bottom: "conv3_1_D"
bottom: "pool2_mask"
top: "pool2_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv2_2_D"
type: "Convolution"
bottom: "pool2_D"
top: "conv2_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_2_D_bn"
type: "BN"
bottom: "conv2_2_D"
top: "conv2_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_2_D"
type: "ReLU"
bottom: "conv2_2_D"
top: "conv2_2_D"
}
layer {
name: "conv2_1_D"
type: "Convolution"
bottom: "conv2_2_D"
top: "conv2_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_1_D_bn"
type: "BN"
bottom: "conv2_1_D"
top: "conv2_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_1_D"
type: "ReLU"
bottom: "conv2_1_D"
top: "conv2_1_D"
}
layer {
name: "upsample1"
type: "Upsample"
bottom: "conv2_1_D"
bottom: "pool1_mask"
top: "pool1_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv1_2_D"
type: "Convolution"
bottom: "pool1_D"
top: "conv1_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_2_D_bn"
type: "BN"
bottom: "conv1_2_D"
top: "conv1_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_2_D"
type: "ReLU"
bottom: "conv1_2_D"
top: "conv1_2_D"
}
layer {
name: "conv1_1_D"
type: "Convolution"
bottom: "conv1_2_D"
top: "conv1_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 12
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "argmax"
type: "ArgMax"
bottom: "conv1_1_D"
top: "argmax"
argmax_param {
axis: 1
}
}
I0720 16:45:36.769220 3869 net.cpp:370] Input 0 -> data
I0720 16:45:36.769248 3869 layer_factory.hpp:74] Creating layer conv1_1
I0720 16:45:36.769258 3869 net.cpp:90] Creating Layer conv1_1
I0720 16:45:36.769265 3869 net.cpp:410] conv1_1 <- data
I0720 16:45:36.769273 3869 net.cpp:368] conv1_1 -> conv1_1
I0720 16:45:36.769284 3869 net.cpp:120] Setting up conv1_1
I0720 16:45:36.769624 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.769641 3869 layer_factory.hpp:74] Creating layer conv1_1_bn
I0720 16:45:36.769652 3869 net.cpp:90] Creating Layer conv1_1_bn
I0720 16:45:36.769659 3869 net.cpp:410] conv1_1_bn <- conv1_1
I0720 16:45:36.769668 3869 net.cpp:357] conv1_1_bn -> conv1_1 (in-place)
I0720 16:45:36.769677 3869 net.cpp:120] Setting up conv1_1_bn
I0720 16:45:36.770165 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770180 3869 layer_factory.hpp:74] Creating layer relu1_1
I0720 16:45:36.770190 3869 net.cpp:90] Creating Layer relu1_1
I0720 16:45:36.770195 3869 net.cpp:410] relu1_1 <- conv1_1
I0720 16:45:36.770205 3869 net.cpp:357] relu1_1 -> conv1_1 (in-place)
I0720 16:45:36.770212 3869 net.cpp:120] Setting up relu1_1
I0720 16:45:36.770220 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770226 3869 layer_factory.hpp:74] Creating layer conv1_2
I0720 16:45:36.770234 3869 net.cpp:90] Creating Layer conv1_2
I0720 16:45:36.770241 3869 net.cpp:410] conv1_2 <- conv1_1
I0720 16:45:36.770249 3869 net.cpp:368] conv1_2 -> conv1_2
I0720 16:45:36.770259 3869 net.cpp:120] Setting up conv1_2
I0720 16:45:36.770979 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770992 3869 layer_factory.hpp:74] Creating layer conv1_2_bn
I0720 16:45:36.771006 3869 net.cpp:90] Creating Layer conv1_2_bn
I0720 16:45:36.771013 3869 net.cpp:410] conv1_2_bn <- conv1_2
I0720 16:45:36.771020 3869 net.cpp:357] conv1_2_bn -> conv1_2 (in-place)
I0720 16:45:36.771028 3869 net.cpp:120] Setting up conv1_2_bn
I0720 16:45:36.771517 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.771529 3869 layer_factory.hpp:74] Creating layer relu1_2
I0720 16:45:36.771539 3869 net.cpp:90] Creating Layer relu1_2
I0720 16:45:36.771545 3869 net.cpp:410] relu1_2 <- conv1_2
I0720 16:45:36.771553 3869 net.cpp:357] relu1_2 -> conv1_2 (in-place)
I0720 16:45:36.771559 3869 net.cpp:120] Setting up relu1_2
I0720 16:45:36.771567 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.771574 3869 layer_factory.hpp:74] Creating layer pool1
I0720 16:45:36.771582 3869 net.cpp:90] Creating Layer pool1
I0720 16:45:36.771595 3869 net.cpp:410] pool1 <- conv1_2
I0720 16:45:36.771603 3869 net.cpp:368] pool1 -> pool1
I0720 16:45:36.771612 3869 net.cpp:368] pool1 -> pool1_mask
I0720 16:45:36.771621 3869 net.cpp:120] Setting up pool1
I0720 16:45:36.771632 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:36.778462 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:36.778475 3869 layer_factory.hpp:74] Creating layer conv2_1
I0720 16:45:36.778491 3869 net.cpp:90] Creating Layer conv2_1
I0720 16:45:36.778501 3869 net.cpp:410] conv2_1 <- pool1
I0720 16:45:36.778519 3869 net.cpp:368] conv2_1 -> conv2_1
I0720 16:45:36.778533 3869 net.cpp:120] Setting up conv2_1
I0720 16:45:36.779964 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.779994 3869 layer_factory.hpp:74] Creating layer conv2_1_bn
I0720 16:45:36.780011 3869 net.cpp:90] Creating Layer conv2_1_bn
I0720 16:45:36.780021 3869 net.cpp:410] conv2_1_bn <- conv2_1
I0720 16:45:36.780033 3869 net.cpp:357] conv2_1_bn -> conv2_1 (in-place)
I0720 16:45:36.780046 3869 net.cpp:120] Setting up conv2_1_bn
I0720 16:45:36.780256 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.780272 3869 layer_factory.hpp:74] Creating layer relu2_1
I0720 16:45:36.780287 3869 net.cpp:90] Creating Layer relu2_1
I0720 16:45:36.780295 3869 net.cpp:410] relu2_1 <- conv2_1
I0720 16:45:36.780306 3869 net.cpp:357] relu2_1 -> conv2_1 (in-place)
I0720 16:45:36.780318 3869 net.cpp:120] Setting up relu2_1
I0720 16:45:36.780330 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.780339 3869 layer_factory.hpp:74] Creating layer conv2_2
I0720 16:45:36.780354 3869 net.cpp:90] Creating Layer conv2_2
I0720 16:45:36.780364 3869 net.cpp:410] conv2_2 <- conv2_1
I0720 16:45:36.780376 3869 net.cpp:368] conv2_2 -> conv2_2
I0720 16:45:36.780388 3869 net.cpp:120] Setting up conv2_2
I0720 16:45:36.783288 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783336 3869 layer_factory.hpp:74] Creating layer conv2_2_bn
I0720 16:45:36.783362 3869 net.cpp:90] Creating Layer conv2_2_bn
I0720 16:45:36.783376 3869 net.cpp:410] conv2_2_bn <- conv2_2
I0720 16:45:36.783401 3869 net.cpp:357] conv2_2_bn -> conv2_2 (in-place)
I0720 16:45:36.783421 3869 net.cpp:120] Setting up conv2_2_bn
I0720 16:45:36.783639 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783656 3869 layer_factory.hpp:74] Creating layer relu2_2
I0720 16:45:36.783673 3869 net.cpp:90] Creating Layer relu2_2
I0720 16:45:36.783685 3869 net.cpp:410] relu2_2 <- conv2_2
I0720 16:45:36.783701 3869 net.cpp:357] relu2_2 -> conv2_2 (in-place)
I0720 16:45:36.783721 3869 net.cpp:120] Setting up relu2_2
I0720 16:45:36.783738 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783752 3869 layer_factory.hpp:74] Creating layer pool2
I0720 16:45:36.783769 3869 net.cpp:90] Creating Layer pool2
I0720 16:45:36.783782 3869 net.cpp:410] pool2 <- conv2_2
I0720 16:45:36.783800 3869 net.cpp:368] pool2 -> pool2
I0720 16:45:36.783813 3869 net.cpp:368] pool2 -> pool2_mask
I0720 16:45:36.783828 3869 net.cpp:120] Setting up pool2
I0720 16:45:36.783846 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:36.783862 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:36.783875 3869 layer_factory.hpp:74] Creating layer conv3_1
I0720 16:45:36.783895 3869 net.cpp:90] Creating Layer conv3_1
I0720 16:45:36.783906 3869 net.cpp:410] conv3_1 <- pool2
I0720 16:45:36.783928 3869 net.cpp:368] conv3_1 -> conv3_1
I0720 16:45:36.783948 3869 net.cpp:120] Setting up conv3_1
I0720 16:45:36.788580 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788617 3869 layer_factory.hpp:74] Creating layer conv3_1_bn
I0720 16:45:36.788637 3869 net.cpp:90] Creating Layer conv3_1_bn
I0720 16:45:36.788648 3869 net.cpp:410] conv3_1_bn <- conv3_1
I0720 16:45:36.788672 3869 net.cpp:357] conv3_1_bn -> conv3_1 (in-place)
I0720 16:45:36.788697 3869 net.cpp:120] Setting up conv3_1_bn
I0720 16:45:36.788781 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788795 3869 layer_factory.hpp:74] Creating layer relu3_1
I0720 16:45:36.788811 3869 net.cpp:90] Creating Layer relu3_1
I0720 16:45:36.788823 3869 net.cpp:410] relu3_1 <- conv3_1
I0720 16:45:36.788838 3869 net.cpp:357] relu3_1 -> conv3_1 (in-place)
I0720 16:45:36.788852 3869 net.cpp:120] Setting up relu3_1
I0720 16:45:36.788869 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788882 3869 layer_factory.hpp:74] Creating layer conv3_2
I0720 16:45:36.788899 3869 net.cpp:90] Creating Layer conv3_2
I0720 16:45:36.788911 3869 net.cpp:410] conv3_2 <- conv3_1
I0720 16:45:36.788934 3869 net.cpp:368] conv3_2 -> conv3_2
I0720 16:45:36.788972 3869 net.cpp:120] Setting up conv3_2
I0720 16:45:36.798022 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798053 3869 layer_factory.hpp:74] Creating layer conv3_2_bn
I0720 16:45:36.798084 3869 net.cpp:90] Creating Layer conv3_2_bn
I0720 16:45:36.798094 3869 net.cpp:410] conv3_2_bn <- conv3_2
I0720 16:45:36.798105 3869 net.cpp:357] conv3_2_bn -> conv3_2 (in-place)
I0720 16:45:36.798116 3869 net.cpp:120] Setting up conv3_2_bn
I0720 16:45:36.798190 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798200 3869 layer_factory.hpp:74] Creating layer relu3_2
I0720 16:45:36.798224 3869 net.cpp:90] Creating Layer relu3_2
I0720 16:45:36.798230 3869 net.cpp:410] relu3_2 <- conv3_2
I0720 16:45:36.798238 3869 net.cpp:357] relu3_2 -> conv3_2 (in-place)
I0720 16:45:36.798245 3869 net.cpp:120] Setting up relu3_2
I0720 16:45:36.798254 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798260 3869 layer_factory.hpp:74] Creating layer conv3_3
I0720 16:45:36.798270 3869 net.cpp:90] Creating Layer conv3_3
I0720 16:45:36.798280 3869 net.cpp:410] conv3_3 <- conv3_2
I0720 16:45:36.798295 3869 net.cpp:368] conv3_3 -> conv3_3
I0720 16:45:36.798306 3869 net.cpp:120] Setting up conv3_3
I0720 16:45:36.805877 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.805920 3869 layer_factory.hpp:74] Creating layer conv3_3_bn
I0720 16:45:36.805938 3869 net.cpp:90] Creating Layer conv3_3_bn
I0720 16:45:36.805945 3869 net.cpp:410] conv3_3_bn <- conv3_3
I0720 16:45:36.805956 3869 net.cpp:357] conv3_3_bn -> conv3_3 (in-place)
I0720 16:45:36.805969 3869 net.cpp:120] Setting up conv3_3_bn
I0720 16:45:36.806030 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.806041 3869 layer_factory.hpp:74] Creating layer relu3_3
I0720 16:45:36.806048 3869 net.cpp:90] Creating Layer relu3_3
I0720 16:45:36.806054 3869 net.cpp:410] relu3_3 <- conv3_3
I0720 16:45:36.806061 3869 net.cpp:357] relu3_3 -> conv3_3 (in-place)
I0720 16:45:36.806069 3869 net.cpp:120] Setting up relu3_3
I0720 16:45:36.806077 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.806083 3869 layer_factory.hpp:74] Creating layer pool3
I0720 16:45:36.806094 3869 net.cpp:90] Creating Layer pool3
I0720 16:45:36.806099 3869 net.cpp:410] pool3 <- conv3_3
I0720 16:45:36.806107 3869 net.cpp:368] pool3 -> pool3
I0720 16:45:36.806118 3869 net.cpp:368] pool3 -> pool3_mask
I0720 16:45:36.806125 3869 net.cpp:120] Setting up pool3
I0720 16:45:36.806135 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:36.806143 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:36.806147 3869 layer_factory.hpp:74] Creating layer conv4_1
I0720 16:45:36.806159 3869 net.cpp:90] Creating Layer conv4_1
I0720 16:45:36.806164 3869 net.cpp:410] conv4_1 <- pool3
I0720 16:45:36.806174 3869 net.cpp:368] conv4_1 -> conv4_1
I0720 16:45:36.806183 3869 net.cpp:120] Setting up conv4_1
I0720 16:45:36.820060 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820091 3869 layer_factory.hpp:74] Creating layer conv4_1_bn
I0720 16:45:36.820116 3869 net.cpp:90] Creating Layer conv4_1_bn
I0720 16:45:36.820127 3869 net.cpp:410] conv4_1_bn <- conv4_1
I0720 16:45:36.820143 3869 net.cpp:357] conv4_1_bn -> conv4_1 (in-place)
I0720 16:45:36.820158 3869 net.cpp:120] Setting up conv4_1_bn
I0720 16:45:36.820192 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820220 3869 layer_factory.hpp:74] Creating layer relu4_1
I0720 16:45:36.820238 3869 net.cpp:90] Creating Layer relu4_1
I0720 16:45:36.820245 3869 net.cpp:410] relu4_1 <- conv4_1
I0720 16:45:36.820257 3869 net.cpp:357] relu4_1 -> conv4_1 (in-place)
I0720 16:45:36.820269 3869 net.cpp:120] Setting up relu4_1
I0720 16:45:36.820281 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820288 3869 layer_factory.hpp:74] Creating layer conv4_2
I0720 16:45:36.820302 3869 net.cpp:90] Creating Layer conv4_2
I0720 16:45:36.820312 3869 net.cpp:410] conv4_2 <- conv4_1
I0720 16:45:36.820327 3869 net.cpp:368] conv4_2 -> conv4_2
I0720 16:45:36.820340 3869 net.cpp:120] Setting up conv4_2
I0720 16:45:36.848635 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848687 3869 layer_factory.hpp:74] Creating layer conv4_2_bn
I0720 16:45:36.848711 3869 net.cpp:90] Creating Layer conv4_2_bn
I0720 16:45:36.848732 3869 net.cpp:410] conv4_2_bn <- conv4_2
I0720 16:45:36.848762 3869 net.cpp:357] conv4_2_bn -> conv4_2 (in-place)
I0720 16:45:36.848779 3869 net.cpp:120] Setting up conv4_2_bn
I0720 16:45:36.848826 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848839 3869 layer_factory.hpp:74] Creating layer relu4_2
I0720 16:45:36.848856 3869 net.cpp:90] Creating Layer relu4_2
I0720 16:45:36.848862 3869 net.cpp:410] relu4_2 <- conv4_2
I0720 16:45:36.848873 3869 net.cpp:357] relu4_2 -> conv4_2 (in-place)
I0720 16:45:36.848886 3869 net.cpp:120] Setting up relu4_2
I0720 16:45:36.848897 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848904 3869 layer_factory.hpp:74] Creating layer conv4_3
I0720 16:45:36.848920 3869 net.cpp:90] Creating Layer conv4_3
I0720 16:45:36.848929 3869 net.cpp:410] conv4_3 <- conv4_2
I0720 16:45:36.848960 3869 net.cpp:368] conv4_3 -> conv4_3
I0720 16:45:36.848984 3869 net.cpp:120] Setting up conv4_3
I0720 16:45:36.877774 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877817 3869 layer_factory.hpp:74] Creating layer conv4_3_bn
I0720 16:45:36.877837 3869 net.cpp:90] Creating Layer conv4_3_bn
I0720 16:45:36.877847 3869 net.cpp:410] conv4_3_bn <- conv4_3
I0720 16:45:36.877859 3869 net.cpp:357] conv4_3_bn -> conv4_3 (in-place)
I0720 16:45:36.877874 3869 net.cpp:120] Setting up conv4_3_bn
I0720 16:45:36.877903 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877914 3869 layer_factory.hpp:74] Creating layer relu4_3
I0720 16:45:36.877928 3869 net.cpp:90] Creating Layer relu4_3
I0720 16:45:36.877938 3869 net.cpp:410] relu4_3 <- conv4_3
I0720 16:45:36.877951 3869 net.cpp:357] relu4_3 -> conv4_3 (in-place)
I0720 16:45:36.877964 3869 net.cpp:120] Setting up relu4_3
I0720 16:45:36.877979 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877986 3869 layer_factory.hpp:74] Creating layer pool4
I0720 16:45:36.878001 3869 net.cpp:90] Creating Layer pool4
I0720 16:45:36.878010 3869 net.cpp:410] pool4 <- conv4_3
I0720 16:45:36.878026 3869 net.cpp:368] pool4 -> pool4
I0720 16:45:36.878041 3869 net.cpp:368] pool4 -> pool4_mask
I0720 16:45:36.878052 3869 net.cpp:120] Setting up pool4
I0720 16:45:36.878067 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.878077 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.878084 3869 layer_factory.hpp:74] Creating layer conv5_1
I0720 16:45:36.878100 3869 net.cpp:90] Creating Layer conv5_1
I0720 16:45:36.878108 3869 net.cpp:410] conv5_1 <- pool4
I0720 16:45:36.878121 3869 net.cpp:368] conv5_1 -> conv5_1
I0720 16:45:36.878135 3869 net.cpp:120] Setting up conv5_1
I0720 16:45:36.906646 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906700 3869 layer_factory.hpp:74] Creating layer conv5_1_bn
I0720 16:45:36.906733 3869 net.cpp:90] Creating Layer conv5_1_bn
I0720 16:45:36.906749 3869 net.cpp:410] conv5_1_bn <- conv5_1
I0720 16:45:36.906770 3869 net.cpp:357] conv5_1_bn -> conv5_1 (in-place)
I0720 16:45:36.906790 3869 net.cpp:120] Setting up conv5_1_bn
I0720 16:45:36.906821 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906836 3869 layer_factory.hpp:74] Creating layer relu5_1
I0720 16:45:36.906849 3869 net.cpp:90] Creating Layer relu5_1
I0720 16:45:36.906858 3869 net.cpp:410] relu5_1 <- conv5_1
I0720 16:45:36.906884 3869 net.cpp:357] relu5_1 -> conv5_1 (in-place)
I0720 16:45:36.906896 3869 net.cpp:120] Setting up relu5_1
I0720 16:45:36.906909 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906919 3869 layer_factory.hpp:74] Creating layer conv5_2
I0720 16:45:36.906934 3869 net.cpp:90] Creating Layer conv5_2
I0720 16:45:36.906942 3869 net.cpp:410] conv5_2 <- conv5_1
I0720 16:45:36.906955 3869 net.cpp:368] conv5_2 -> conv5_2
I0720 16:45:36.906968 3869 net.cpp:120] Setting up conv5_2
I0720 16:45:36.934434 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934478 3869 layer_factory.hpp:74] Creating layer conv5_2_bn
I0720 16:45:36.934516 3869 net.cpp:90] Creating Layer conv5_2_bn
I0720 16:45:36.934528 3869 net.cpp:410] conv5_2_bn <- conv5_2
I0720 16:45:36.934545 3869 net.cpp:357] conv5_2_bn -> conv5_2 (in-place)
I0720 16:45:36.934562 3869 net.cpp:120] Setting up conv5_2_bn
I0720 16:45:36.934592 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934604 3869 layer_factory.hpp:74] Creating layer relu5_2
I0720 16:45:36.934613 3869 net.cpp:90] Creating Layer relu5_2
I0720 16:45:36.934620 3869 net.cpp:410] relu5_2 <- conv5_2
I0720 16:45:36.934633 3869 net.cpp:357] relu5_2 -> conv5_2 (in-place)
I0720 16:45:36.934641 3869 net.cpp:120] Setting up relu5_2
I0720 16:45:36.934650 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934655 3869 layer_factory.hpp:74] Creating layer conv5_3
I0720 16:45:36.934669 3869 net.cpp:90] Creating Layer conv5_3
I0720 16:45:36.934675 3869 net.cpp:410] conv5_3 <- conv5_2
I0720 16:45:36.934684 3869 net.cpp:368] conv5_3 -> conv5_3
I0720 16:45:36.934693 3869 net.cpp:120] Setting up conv5_3
I0720 16:45:36.962703 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.962745 3869 layer_factory.hpp:74] Creating layer conv5_3_bn
I0720 16:45:36.962776 3869 net.cpp:90] Creating Layer conv5_3_bn
I0720 16:45:36.962793 3869 net.cpp:410] conv5_3_bn <- conv5_3
I0720 16:45:36.962815 3869 net.cpp:357] conv5_3_bn -> conv5_3 (in-place)
I0720 16:45:36.962833 3869 net.cpp:120] Setting up conv5_3_bn
I0720 16:45:36.962880 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.962930 3869 layer_factory.hpp:74] Creating layer relu5_3
I0720 16:45:36.962965 3869 net.cpp:90] Creating Layer relu5_3
I0720 16:45:36.962978 3869 net.cpp:410] relu5_3 <- conv5_3
I0720 16:45:36.962997 3869 net.cpp:357] relu5_3 -> conv5_3 (in-place)
I0720 16:45:36.963014 3869 net.cpp:120] Setting up relu5_3
I0720 16:45:36.963038 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.963049 3869 layer_factory.hpp:74] Creating layer pool5
I0720 16:45:36.963063 3869 net.cpp:90] Creating Layer pool5
I0720 16:45:36.963073 3869 net.cpp:410] pool5 <- conv5_3
I0720 16:45:36.963085 3869 net.cpp:368] pool5 -> pool5
I0720 16:45:36.963104 3869 net.cpp:368] pool5 -> pool5_mask
I0720 16:45:36.963121 3869 net.cpp:120] Setting up pool5
I0720 16:45:36.963140 3869 net.cpp:127] Top shape: 1 512 12 15 (92160)
I0720 16:45:36.963148 3869 net.cpp:127] Top shape: 1 512 12 15 (92160)
I0720 16:45:36.963155 3869 layer_factory.hpp:74] Creating layer upsample5
I0720 16:45:36.963165 3869 net.cpp:90] Creating Layer upsample5
I0720 16:45:36.963171 3869 net.cpp:410] upsample5 <- pool5
I0720 16:45:36.963178 3869 net.cpp:410] upsample5 <- pool5_mask
I0720 16:45:36.963187 3869 net.cpp:368] upsample5 -> pool5_D
I0720 16:45:36.963197 3869 net.cpp:120] Setting up upsample5
I0720 16:45:36.963207 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.963213 3869 layer_factory.hpp:74] Creating layer conv5_3_D
I0720 16:45:36.963227 3869 net.cpp:90] Creating Layer conv5_3_D
I0720 16:45:36.963234 3869 net.cpp:410] conv5_3_D <- pool5_D
I0720 16:45:36.963246 3869 net.cpp:368] conv5_3_D -> conv5_3_D
I0720 16:45:36.963255 3869 net.cpp:120] Setting up conv5_3_D
I0720 16:45:36.990511 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990538 3869 layer_factory.hpp:74] Creating layer conv5_3_D_bn
I0720 16:45:36.990566 3869 net.cpp:90] Creating Layer conv5_3_D_bn
I0720 16:45:36.990573 3869 net.cpp:410] conv5_3_D_bn <- conv5_3_D
I0720 16:45:36.990593 3869 net.cpp:357] conv5_3_D_bn -> conv5_3_D (in-place)
I0720 16:45:36.990607 3869 net.cpp:120] Setting up conv5_3_D_bn
I0720 16:45:36.990628 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990638 3869 layer_factory.hpp:74] Creating layer relu5_3_D
I0720 16:45:36.990648 3869 net.cpp:90] Creating Layer relu5_3_D
I0720 16:45:36.990653 3869 net.cpp:410] relu5_3_D <- conv5_3_D
I0720 16:45:36.990662 3869 net.cpp:357] relu5_3_D -> conv5_3_D (in-place)
I0720 16:45:36.990670 3869 net.cpp:120] Setting up relu5_3_D
I0720 16:45:36.990679 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990684 3869 layer_factory.hpp:74] Creating layer conv5_2_D
I0720 16:45:36.990694 3869 net.cpp:90] Creating Layer conv5_2_D
I0720 16:45:36.990700 3869 net.cpp:410] conv5_2_D <- conv5_3_D
I0720 16:45:36.990707 3869 net.cpp:368] conv5_2_D -> conv5_2_D
I0720 16:45:36.990716 3869 net.cpp:120] Setting up conv5_2_D
I0720 16:45:37.018801 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018852 3869 layer_factory.hpp:74] Creating layer conv5_2_D_bn
I0720 16:45:37.018869 3869 net.cpp:90] Creating Layer conv5_2_D_bn
I0720 16:45:37.018878 3869 net.cpp:410] conv5_2_D_bn <- conv5_2_D
I0720 16:45:37.018890 3869 net.cpp:357] conv5_2_D_bn -> conv5_2_D (in-place)
I0720 16:45:37.018904 3869 net.cpp:120] Setting up conv5_2_D_bn
I0720 16:45:37.018929 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018939 3869 layer_factory.hpp:74] Creating layer relu5_2_D
I0720 16:45:37.018949 3869 net.cpp:90] Creating Layer relu5_2_D
I0720 16:45:37.018955 3869 net.cpp:410] relu5_2_D <- conv5_2_D
I0720 16:45:37.018962 3869 net.cpp:357] relu5_2_D -> conv5_2_D (in-place)
I0720 16:45:37.018970 3869 net.cpp:120] Setting up relu5_2_D
I0720 16:45:37.018980 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018985 3869 layer_factory.hpp:74] Creating layer conv5_1_D
I0720 16:45:37.018998 3869 net.cpp:90] Creating Layer conv5_1_D
I0720 16:45:37.019011 3869 net.cpp:410] conv5_1_D <- conv5_2_D
I0720 16:45:37.019026 3869 net.cpp:368] conv5_1_D -> conv5_1_D
I0720 16:45:37.019039 3869 net.cpp:120] Setting up conv5_1_D
I0720 16:45:37.047513 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047564 3869 layer_factory.hpp:74] Creating layer conv5_1_D_bn
I0720 16:45:37.047585 3869 net.cpp:90] Creating Layer conv5_1_D_bn
I0720 16:45:37.047595 3869 net.cpp:410] conv5_1_D_bn <- conv5_1_D
I0720 16:45:37.047606 3869 net.cpp:357] conv5_1_D_bn -> conv5_1_D (in-place)
I0720 16:45:37.047619 3869 net.cpp:120] Setting up conv5_1_D_bn
I0720 16:45:37.047643 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047653 3869 layer_factory.hpp:74] Creating layer relu5_1_D
I0720 16:45:37.047663 3869 net.cpp:90] Creating Layer relu5_1_D
I0720 16:45:37.047670 3869 net.cpp:410] relu5_1_D <- conv5_1_D
I0720 16:45:37.047678 3869 net.cpp:357] relu5_1_D -> conv5_1_D (in-place)
I0720 16:45:37.047686 3869 net.cpp:120] Setting up relu5_1_D
I0720 16:45:37.047694 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047700 3869 layer_factory.hpp:74] Creating layer upsample4
I0720 16:45:37.047709 3869 net.cpp:90] Creating Layer upsample4
I0720 16:45:37.047715 3869 net.cpp:410] upsample4 <- conv5_1_D
I0720 16:45:37.047722 3869 net.cpp:410] upsample4 <- pool4_mask
I0720 16:45:37.047732 3869 net.cpp:368] upsample4 -> pool4_D
I0720 16:45:37.047741 3869 net.cpp:120] Setting up upsample4
I0720 16:45:37.047757 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.047766 3869 layer_factory.hpp:74] Creating layer conv4_3_D
I0720 16:45:37.047781 3869 net.cpp:90] Creating Layer conv4_3_D
I0720 16:45:37.047791 3869 net.cpp:410] conv4_3_D <- pool4_D
I0720 16:45:37.047803 3869 net.cpp:368] conv4_3_D -> conv4_3_D
I0720 16:45:37.047816 3869 net.cpp:120] Setting up conv4_3_D
I0720 16:45:37.076069 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076135 3869 layer_factory.hpp:74] Creating layer conv4_3_D_bn
I0720 16:45:37.076159 3869 net.cpp:90] Creating Layer conv4_3_D_bn
I0720 16:45:37.076170 3869 net.cpp:410] conv4_3_D_bn <- conv4_3_D
I0720 16:45:37.076191 3869 net.cpp:357] conv4_3_D_bn -> conv4_3_D (in-place)
I0720 16:45:37.076208 3869 net.cpp:120] Setting up conv4_3_D_bn
I0720 16:45:37.076238 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076252 3869 layer_factory.hpp:74] Creating layer relu4_3_D
I0720 16:45:37.076265 3869 net.cpp:90] Creating Layer relu4_3_D
I0720 16:45:37.076274 3869 net.cpp:410] relu4_3_D <- conv4_3_D
I0720 16:45:37.076285 3869 net.cpp:357] relu4_3_D -> conv4_3_D (in-place)
I0720 16:45:37.076297 3869 net.cpp:120] Setting up relu4_3_D
I0720 16:45:37.076309 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076318 3869 layer_factory.hpp:74] Creating layer conv4_2_D
I0720 16:45:37.076330 3869 net.cpp:90] Creating Layer conv4_2_D
I0720 16:45:37.076339 3869 net.cpp:410] conv4_2_D <- conv4_3_D
I0720 16:45:37.076354 3869 net.cpp:368] conv4_2_D -> conv4_2_D
I0720 16:45:37.076364 3869 net.cpp:120] Setting up conv4_2_D
I0720 16:45:37.104485 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104533 3869 layer_factory.hpp:74] Creating layer conv4_2_D_bn
I0720 16:45:37.104552 3869 net.cpp:90] Creating Layer conv4_2_D_bn
I0720 16:45:37.104562 3869 net.cpp:410] conv4_2_D_bn <- conv4_2_D
I0720 16:45:37.104575 3869 net.cpp:357] conv4_2_D_bn -> conv4_2_D (in-place)
I0720 16:45:37.104589 3869 net.cpp:120] Setting up conv4_2_D_bn
I0720 16:45:37.104629 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104640 3869 layer_factory.hpp:74] Creating layer relu4_2_D
I0720 16:45:37.104651 3869 net.cpp:90] Creating Layer relu4_2_D
I0720 16:45:37.104658 3869 net.cpp:410] relu4_2_D <- conv4_2_D
I0720 16:45:37.104666 3869 net.cpp:357] relu4_2_D -> conv4_2_D (in-place)
I0720 16:45:37.104674 3869 net.cpp:120] Setting up relu4_2_D
I0720 16:45:37.104682 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104688 3869 layer_factory.hpp:74] Creating layer conv4_1_D
I0720 16:45:37.104698 3869 net.cpp:90] Creating Layer conv4_1_D
I0720 16:45:37.104704 3869 net.cpp:410] conv4_1_D <- conv4_2_D
I0720 16:45:37.104712 3869 net.cpp:368] conv4_1_D -> conv4_1_D
I0720 16:45:37.104722 3869 net.cpp:120] Setting up conv4_1_D
I0720 16:45:37.119027 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119050 3869 layer_factory.hpp:74] Creating layer conv4_1_D_bn
I0720 16:45:37.119065 3869 net.cpp:90] Creating Layer conv4_1_D_bn
I0720 16:45:37.119072 3869 net.cpp:410] conv4_1_D_bn <- conv4_1_D
I0720 16:45:37.119083 3869 net.cpp:357] conv4_1_D_bn -> conv4_1_D (in-place)
I0720 16:45:37.119093 3869 net.cpp:120] Setting up conv4_1_D_bn
I0720 16:45:37.119118 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119128 3869 layer_factory.hpp:74] Creating layer relu4_1_D
I0720 16:45:37.119137 3869 net.cpp:90] Creating Layer relu4_1_D
I0720 16:45:37.119143 3869 net.cpp:410] relu4_1_D <- conv4_1_D
I0720 16:45:37.119151 3869 net.cpp:357] relu4_1_D -> conv4_1_D (in-place)
I0720 16:45:37.119165 3869 net.cpp:120] Setting up relu4_1_D
I0720 16:45:37.119179 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119189 3869 layer_factory.hpp:74] Creating layer upsample3
I0720 16:45:37.119212 3869 net.cpp:90] Creating Layer upsample3
I0720 16:45:37.119221 3869 net.cpp:410] upsample3 <- conv4_1_D
I0720 16:45:37.119233 3869 net.cpp:410] upsample3 <- pool3_mask
I0720 16:45:37.119246 3869 net.cpp:368] upsample3 -> pool3_D
I0720 16:45:37.119263 3869 net.cpp:120] Setting up upsample3
I0720 16:45:37.119272 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.119287 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.119297 3869 layer_factory.hpp:74] Creating layer conv3_3_D
I0720 16:45:37.119309 3869 net.cpp:90] Creating Layer conv3_3_D
I0720 16:45:37.119318 3869 net.cpp:410] conv3_3_D <- pool3_D
I0720 16:45:37.119330 3869 net.cpp:368] conv3_3_D -> conv3_3_D
I0720 16:45:37.119343 3869 net.cpp:120] Setting up conv3_3_D
I0720 16:45:37.127251 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127334 3869 layer_factory.hpp:74] Creating layer conv3_3_D_bn
I0720 16:45:37.127364 3869 net.cpp:90] Creating Layer conv3_3_D_bn
I0720 16:45:37.127379 3869 net.cpp:410] conv3_3_D_bn <- conv3_3_D
I0720 16:45:37.127395 3869 net.cpp:357] conv3_3_D_bn -> conv3_3_D (in-place)
I0720 16:45:37.127414 3869 net.cpp:120] Setting up conv3_3_D_bn
I0720 16:45:37.127497 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127511 3869 layer_factory.hpp:74] Creating layer relu3_3_D
I0720 16:45:37.127533 3869 net.cpp:90] Creating Layer relu3_3_D
I0720 16:45:37.127542 3869 net.cpp:410] relu3_3_D <- conv3_3_D
I0720 16:45:37.127557 3869 net.cpp:357] relu3_3_D -> conv3_3_D (in-place)
I0720 16:45:37.127568 3869 net.cpp:120] Setting up relu3_3_D
I0720 16:45:37.127578 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127588 3869 layer_factory.hpp:74] Creating layer conv3_2_D
I0720 16:45:37.127607 3869 net.cpp:90] Creating Layer conv3_2_D
I0720 16:45:37.127619 3869 net.cpp:410] conv3_2_D <- conv3_3_D
I0720 16:45:37.127634 3869 net.cpp:368] conv3_2_D -> conv3_2_D
I0720 16:45:37.127650 3869 net.cpp:120] Setting up conv3_2_D
I0720 16:45:37.134773 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.134790 3869 layer_factory.hpp:74] Creating layer conv3_2_D_bn
I0720 16:45:37.134809 3869 net.cpp:90] Creating Layer conv3_2_D_bn
I0720 16:45:37.134820 3869 net.cpp:410] conv3_2_D_bn <- conv3_2_D
I0720 16:45:37.134836 3869 net.cpp:357] conv3_2_D_bn -> conv3_2_D (in-place)
I0720 16:45:37.134851 3869 net.cpp:120] Setting up conv3_2_D_bn
I0720 16:45:37.134915 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.134929 3869 layer_factory.hpp:74] Creating layer relu3_2_D
I0720 16:45:37.134943 3869 net.cpp:90] Creating Layer relu3_2_D
I0720 16:45:37.134953 3869 net.cpp:410] relu3_2_D <- conv3_2_D
I0720 16:45:37.134965 3869 net.cpp:357] relu3_2_D -> conv3_2_D (in-place)
I0720 16:45:37.134977 3869 net.cpp:120] Setting up relu3_2_D
I0720 16:45:37.134991 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.135000 3869 layer_factory.hpp:74] Creating layer conv3_1_D
I0720 16:45:37.135016 3869 net.cpp:90] Creating Layer conv3_1_D
I0720 16:45:37.135027 3869 net.cpp:410] conv3_1_D <- conv3_2_D
I0720 16:45:37.135044 3869 net.cpp:368] conv3_1_D -> conv3_1_D
I0720 16:45:37.135059 3869 net.cpp:120] Setting up conv3_1_D
I0720 16:45:37.138672 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138689 3869 layer_factory.hpp:74] Creating layer conv3_1_D_bn
I0720 16:45:37.138706 3869 net.cpp:90] Creating Layer conv3_1_D_bn
I0720 16:45:37.138717 3869 net.cpp:410] conv3_1_D_bn <- conv3_1_D
I0720 16:45:37.138733 3869 net.cpp:357] conv3_1_D_bn -> conv3_1_D (in-place)
I0720 16:45:37.138748 3869 net.cpp:120] Setting up conv3_1_D_bn
I0720 16:45:37.138813 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138828 3869 layer_factory.hpp:74] Creating layer relu3_1_D
I0720 16:45:37.138841 3869 net.cpp:90] Creating Layer relu3_1_D
I0720 16:45:37.138851 3869 net.cpp:410] relu3_1_D <- conv3_1_D
I0720 16:45:37.138866 3869 net.cpp:357] relu3_1_D -> conv3_1_D (in-place)
I0720 16:45:37.138880 3869 net.cpp:120] Setting up relu3_1_D
I0720 16:45:37.138893 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138903 3869 layer_factory.hpp:74] Creating layer upsample2
I0720 16:45:37.138917 3869 net.cpp:90] Creating Layer upsample2
I0720 16:45:37.138926 3869 net.cpp:410] upsample2 <- conv3_1_D
I0720 16:45:37.138938 3869 net.cpp:410] upsample2 <- pool2_mask
I0720 16:45:37.138952 3869 net.cpp:368] upsample2 -> pool2_D
I0720 16:45:37.138968 3869 net.cpp:120] Setting up upsample2
I0720 16:45:37.138978 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.138993 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.139003 3869 layer_factory.hpp:74] Creating layer conv2_2_D
I0720 16:45:37.139017 3869 net.cpp:90] Creating Layer conv2_2_D
I0720 16:45:37.139027 3869 net.cpp:410] conv2_2_D <- pool2_D
I0720 16:45:37.139044 3869 net.cpp:368] conv2_2_D -> conv2_2_D
I0720 16:45:37.139058 3869 net.cpp:120] Setting up conv2_2_D
I0720 16:45:37.140924 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.140939 3869 layer_factory.hpp:74] Creating layer conv2_2_D_bn
I0720 16:45:37.140962 3869 net.cpp:90] Creating Layer conv2_2_D_bn
I0720 16:45:37.140974 3869 net.cpp:410] conv2_2_D_bn <- conv2_2_D
I0720 16:45:37.140990 3869 net.cpp:357] conv2_2_D_bn -> conv2_2_D (in-place)
I0720 16:45:37.141005 3869 net.cpp:120] Setting up conv2_2_D_bn
I0720 16:45:37.141165 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.141180 3869 layer_factory.hpp:74] Creating layer relu2_2_D
I0720 16:45:37.141193 3869 net.cpp:90] Creating Layer relu2_2_D
I0720 16:45:37.141203 3869 net.cpp:410] relu2_2_D <- conv2_2_D
I0720 16:45:37.141218 3869 net.cpp:357] relu2_2_D -> conv2_2_D (in-place)
I0720 16:45:37.141232 3869 net.cpp:120] Setting up relu2_2_D
I0720 16:45:37.141243 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.141253 3869 layer_factory.hpp:74] Creating layer conv2_1_D
I0720 16:45:37.141268 3869 net.cpp:90] Creating Layer conv2_1_D
I0720 16:45:37.141278 3869 net.cpp:410] conv2_1_D <- conv2_2_D
I0720 16:45:37.141294 3869 net.cpp:368] conv2_1_D -> conv2_1_D
I0720 16:45:37.141309 3869 net.cpp:120] Setting up conv2_1_D
I0720 16:45:37.142305 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142321 3869 layer_factory.hpp:74] Creating layer conv2_1_D_bn
I0720 16:45:37.142338 3869 net.cpp:90] Creating Layer conv2_1_D_bn
I0720 16:45:37.142349 3869 net.cpp:410] conv2_1_D_bn <- conv2_1_D
I0720 16:45:37.142364 3869 net.cpp:357] conv2_1_D_bn -> conv2_1_D (in-place)
I0720 16:45:37.142379 3869 net.cpp:120] Setting up conv2_1_D_bn
I0720 16:45:37.142536 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142551 3869 layer_factory.hpp:74] Creating layer relu2_1_D
I0720 16:45:37.142563 3869 net.cpp:90] Creating Layer relu2_1_D
I0720 16:45:37.142572 3869 net.cpp:410] relu2_1_D <- conv2_1_D
I0720 16:45:37.142590 3869 net.cpp:357] relu2_1_D -> conv2_1_D (in-place)
I0720 16:45:37.142603 3869 net.cpp:120] Setting up relu2_1_D
I0720 16:45:37.142618 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142627 3869 layer_factory.hpp:74] Creating layer upsample1
I0720 16:45:37.142649 3869 net.cpp:90] Creating Layer upsample1
I0720 16:45:37.142657 3869 net.cpp:410] upsample1 <- conv2_1_D
I0720 16:45:37.142666 3869 net.cpp:410] upsample1 <- pool1_mask
I0720 16:45:37.142681 3869 net.cpp:368] upsample1 -> pool1_D
I0720 16:45:37.142693 3869 net.cpp:120] Setting up upsample1
I0720 16:45:37.142700 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.142714 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.142721 3869 layer_factory.hpp:74] Creating layer conv1_2_D
I0720 16:45:37.142736 3869 net.cpp:90] Creating Layer conv1_2_D
I0720 16:45:37.142745 3869 net.cpp:410] conv1_2_D <- pool1_D
I0720 16:45:37.142760 3869 net.cpp:368] conv1_2_D -> conv1_2_D
I0720 16:45:37.142772 3869 net.cpp:120] Setting up conv1_2_D
I0720 16:45:37.143498 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.143514 3869 layer_factory.hpp:74] Creating layer conv1_2_D_bn
I0720 16:45:37.143527 3869 net.cpp:90] Creating Layer conv1_2_D_bn
I0720 16:45:37.143535 3869 net.cpp:410] conv1_2_D_bn <- conv1_2_D
I0720 16:45:37.143550 3869 net.cpp:357] conv1_2_D_bn -> conv1_2_D (in-place)
I0720 16:45:37.143561 3869 net.cpp:120] Setting up conv1_2_D_bn
I0720 16:45:37.144053 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.144070 3869 layer_factory.hpp:74] Creating layer relu1_2_D
I0720 16:45:37.144081 3869 net.cpp:90] Creating Layer relu1_2_D
I0720 16:45:37.144089 3869 net.cpp:410] relu1_2_D <- conv1_2_D
I0720 16:45:37.144104 3869 net.cpp:357] relu1_2_D -> conv1_2_D (in-place)
I0720 16:45:37.144114 3869 net.cpp:120] Setting up relu1_2_D
I0720 16:45:37.144126 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.144134 3869 layer_factory.hpp:74] Creating layer conv1_1_D
I0720 16:45:37.144146 3869 net.cpp:90] Creating Layer conv1_1_D
I0720 16:45:37.144155 3869 net.cpp:410] conv1_1_D <- conv1_2_D
I0720 16:45:37.144168 3869 net.cpp:368] conv1_1_D -> conv1_1_D
I0720 16:45:37.144181 3869 net.cpp:120] Setting up conv1_1_D
I0720 16:45:37.144541 3869 net.cpp:127] Top shape: 1 12 360 480 (2073600)
I0720 16:45:37.144556 3869 layer_factory.hpp:74] Creating layer argmax
I0720 16:45:37.144570 3869 net.cpp:90] Creating Layer argmax
I0720 16:45:37.144578 3869 net.cpp:410] argmax <- conv1_1_D
I0720 16:45:37.144590 3869 net.cpp:368] argmax -> argmax
I0720 16:45:37.144599 3869 net.cpp:120] Setting up argmax
I0720 16:45:37.144613 3869 net.cpp:127] Top shape: 1 1 360 480 (172800)
I0720 16:45:37.144618 3869 net.cpp:194] argmax does not need backward computation.
I0720 16:45:37.144625 3869 net.cpp:194] conv1_1_D does not need backward computation.
I0720 16:45:37.144631 3869 net.cpp:194] relu1_2_D does not need backward computation.
I0720 16:45:37.144639 3869 net.cpp:194] conv1_2_D_bn does not need backward computation.
I0720 16:45:37.144649 3869 net.cpp:194] conv1_2_D does not need backward computation.
I0720 16:45:37.144657 3869 net.cpp:194] upsample1 does not need backward computation.
I0720 16:45:37.144667 3869 net.cpp:194] relu2_1_D does not need backward computation.
I0720 16:45:37.144675 3869 net.cpp:194] conv2_1_D_bn does not need backward computation.
I0720 16:45:37.144685 3869 net.cpp:194] conv2_1_D does not need backward computation.
I0720 16:45:37.144693 3869 net.cpp:194] relu2_2_D does not need backward computation.
I0720 16:45:37.144703 3869 net.cpp:194] conv2_2_D_bn does not need backward computation.
I0720 16:45:37.144712 3869 net.cpp:194] conv2_2_D does not need backward computation.
I0720 16:45:37.144721 3869 net.cpp:194] upsample2 does not need backward computation.
I0720 16:45:37.144731 3869 net.cpp:194] relu3_1_D does not need backward computation.
I0720 16:45:37.144739 3869 net.cpp:194] conv3_1_D_bn does not need backward computation.
I0720 16:45:37.144748 3869 net.cpp:194] conv3_1_D does not need backward computation.
I0720 16:45:37.144757 3869 net.cpp:194] relu3_2_D does not need backward computation.
I0720 16:45:37.144767 3869 net.cpp:194] conv3_2_D_bn does not need backward computation.
I0720 16:45:37.144774 3869 net.cpp:194] conv3_2_D does not need backward computation.
I0720 16:45:37.144783 3869 net.cpp:194] relu3_3_D does not need backward computation.
I0720 16:45:37.144794 3869 net.cpp:194] conv3_3_D_bn does not need backward computation.
I0720 16:45:37.144804 3869 net.cpp:194] conv3_3_D does not need backward computation.
I0720 16:45:37.144814 3869 net.cpp:194] upsample3 does not need backward computation.
I0720 16:45:37.144822 3869 net.cpp:194] relu4_1_D does not need backward computation.
I0720 16:45:37.144830 3869 net.cpp:194] conv4_1_D_bn does not need backward computation.
I0720 16:45:37.144840 3869 net.cpp:194] conv4_1_D does not need backward computation.
I0720 16:45:37.144848 3869 net.cpp:194] relu4_2_D does not need backward computation.
I0720 16:45:37.144857 3869 net.cpp:194] conv4_2_D_bn does not need backward computation.
I0720 16:45:37.144865 3869 net.cpp:194] conv4_2_D does not need backward computation.
I0720 16:45:37.144876 3869 net.cpp:194] relu4_3_D does not need backward computation.
I0720 16:45:37.144883 3869 net.cpp:194] conv4_3_D_bn does not need backward computation.
I0720 16:45:37.144892 3869 net.cpp:194] conv4_3_D does not need backward computation.
I0720 16:45:37.144901 3869 net.cpp:194] upsample4 does not need backward computation.
I0720 16:45:37.144910 3869 net.cpp:194] relu5_1_D does not need backward computation.
I0720 16:45:37.144919 3869 net.cpp:194] conv5_1_D_bn does not need backward computation.
I0720 16:45:37.144928 3869 net.cpp:194] conv5_1_D does not need backward computation.
I0720 16:45:37.144937 3869 net.cpp:194] relu5_2_D does not need backward computation.
I0720 16:45:37.144955 3869 net.cpp:194] conv5_2_D_bn does not need backward computation.
I0720 16:45:37.144965 3869 net.cpp:194] conv5_2_D does not need backward computation.
I0720 16:45:37.144974 3869 net.cpp:194] relu5_3_D does not need backward computation.
I0720 16:45:37.144982 3869 net.cpp:194] conv5_3_D_bn does not need backward computation.
I0720 16:45:37.144991 3869 net.cpp:194] conv5_3_D does not need backward computation.
I0720 16:45:37.145000 3869 net.cpp:194] upsample5 does not need backward computation.
I0720 16:45:37.145009 3869 net.cpp:194] pool5 does not need backward computation.
I0720 16:45:37.145018 3869 net.cpp:194] relu5_3 does not need backward computation.
I0720 16:45:37.145027 3869 net.cpp:194] conv5_3_bn does not need backward computation.
I0720 16:45:37.145036 3869 net.cpp:194] conv5_3 does not need backward computation.
I0720 16:45:37.145045 3869 net.cpp:194] relu5_2 does not need backward computation.
I0720 16:45:37.145054 3869 net.cpp:194] conv5_2_bn does not need backward computation.
I0720 16:45:37.145062 3869 net.cpp:194] conv5_2 does not need backward computation.
I0720 16:45:37.145071 3869 net.cpp:194] relu5_1 does not need backward computation.
I0720 16:45:37.145081 3869 net.cpp:194] conv5_1_bn does not need backward computation.
I0720 16:45:37.145089 3869 net.cpp:194] conv5_1 does not need backward computation.
I0720 16:45:37.145098 3869 net.cpp:194] pool4 does not need backward computation.
I0720 16:45:37.145107 3869 net.cpp:194] relu4_3 does not need backward computation.
I0720 16:45:37.145115 3869 net.cpp:194] conv4_3_bn does not need backward computation.
I0720 16:45:37.145124 3869 net.cpp:194] conv4_3 does not need backward computation.
I0720 16:45:37.145134 3869 net.cpp:194] relu4_2 does not need backward computation.
I0720 16:45:37.145143 3869 net.cpp:194] conv4_2_bn does not need backward computation.
I0720 16:45:37.145150 3869 net.cpp:194] conv4_2 does not need backward computation.
I0720 16:45:37.145160 3869 net.cpp:194] relu4_1 does not need backward computation.
I0720 16:45:37.145169 3869 net.cpp:194] conv4_1_bn does not need backward computation.
I0720 16:45:37.145177 3869 net.cpp:194] conv4_1 does not need backward computation.
I0720 16:45:37.145186 3869 net.cpp:194] pool3 does not need backward computation.
I0720 16:45:37.145195 3869 net.cpp:194] relu3_3 does not need backward computation.
I0720 16:45:37.145205 3869 net.cpp:194] conv3_3_bn does not need backward computation.
I0720 16:45:37.145213 3869 net.cpp:194] conv3_3 does not need backward computation.
I0720 16:45:37.145222 3869 net.cpp:194] relu3_2 does not need backward computation.
I0720 16:45:37.145231 3869 net.cpp:194] conv3_2_bn does not need backward computation.
I0720 16:45:37.145239 3869 net.cpp:194] conv3_2 does not need backward computation.
I0720 16:45:37.145248 3869 net.cpp:194] relu3_1 does not need backward computation.
I0720 16:45:37.145256 3869 net.cpp:194] conv3_1_bn does not need backward computation.
I0720 16:45:37.145265 3869 net.cpp:194] conv3_1 does not need backward computation.
I0720 16:45:37.145275 3869 net.cpp:194] pool2 does not need backward computation.
I0720 16:45:37.145284 3869 net.cpp:194] relu2_2 does not need backward computation.
I0720 16:45:37.145292 3869 net.cpp:194] conv2_2_bn does not need backward computation.
I0720 16:45:37.145301 3869 net.cpp:194] conv2_2 does not need backward computation.
I0720 16:45:37.145310 3869 net.cpp:194] relu2_1 does not need backward computation.
I0720 16:45:37.145319 3869 net.cpp:194] conv2_1_bn does not need backward computation.
I0720 16:45:37.145326 3869 net.cpp:194] conv2_1 does not need backward computation.
I0720 16:45:37.145336 3869 net.cpp:194] pool1 does not need backward computation.
I0720 16:45:37.145345 3869 net.cpp:194] relu1_2 does not need backward computation.
I0720 16:45:37.145354 3869 net.cpp:194] conv1_2_bn does not need backward computation.
I0720 16:45:37.145361 3869 net.cpp:194] conv1_2 does not need backward computation.
I0720 16:45:37.145373 3869 net.cpp:194] relu1_1 does not need backward computation.
I0720 16:45:37.145381 3869 net.cpp:194] conv1_1_bn does not need backward computation.
I0720 16:45:37.145390 3869 net.cpp:194] conv1_1 does not need backward computation.
I0720 16:45:37.145401 3869 net.cpp:235] This network produces output argmax
I0720 16:45:37.145448 3869 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0720 16:45:37.145468 3869 net.cpp:247] Network initialization done.
I0720 16:45:37.145475 3869 net.cpp:248] Memory required for data: 1065139200
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0720 16:45:36.767998 3869 net.cpp:42] Initializing net from parameters:
name: "VGG_ILSVRC_16_layer"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 360
input_dim: 480
state {
phase: TEST
}
layer {
name: "conv1_1"
type: "Convolution"
bottom: "data"
top: "conv1_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_1_bn"
type: "BN"
bottom: "conv1_1"
top: "conv1_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_2_bn"
type: "BN"
bottom: "conv1_2"
top: "conv1_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1_2"
top: "pool1"
top: "pool1_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "pool1"
top: "conv2_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_1_bn"
type: "BN"
bottom: "conv2_1"
top: "conv2_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_2_bn"
type: "BN"
bottom: "conv2_2"
top: "conv2_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2_2"
top: "pool2"
top: "pool2_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "pool2"
top: "conv3_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_1_bn"
type: "BN"
bottom: "conv3_1"
top: "conv3_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_2_bn"
type: "BN"
bottom: "conv3_2"
top: "conv3_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_3_bn"
type: "BN"
bottom: "conv3_3"
top: "conv3_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3_3"
top: "pool3"
top: "pool3_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "pool3"
top: "conv4_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_1_bn"
type: "BN"
bottom: "conv4_1"
top: "conv4_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_2_bn"
type: "BN"
bottom: "conv4_2"
top: "conv4_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_3_bn"
type: "BN"
bottom: "conv4_3"
top: "conv4_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "pool4"
type: "Pooling"
bottom: "conv4_3"
top: "pool4"
top: "pool4_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "pool4"
top: "conv5_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_1_bn"
type: "BN"
bottom: "conv5_1"
top: "conv5_1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_2_bn"
type: "BN"
bottom: "conv5_2"
top: "conv5_2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_3_bn"
type: "BN"
bottom: "conv5_3"
top: "conv5_3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "conv5_3"
top: "pool5"
top: "pool5_mask"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "upsample5"
type: "Upsample"
bottom: "pool5"
bottom: "pool5_mask"
top: "pool5_D"
upsample_param {
scale: 2
upsample_h: 23
upsample_w: 30
}
}
layer {
name: "conv5_3_D"
type: "Convolution"
bottom: "pool5_D"
top: "conv5_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_3_D_bn"
type: "BN"
bottom: "conv5_3_D"
top: "conv5_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_3_D"
type: "ReLU"
bottom: "conv5_3_D"
top: "conv5_3_D"
}
layer {
name: "conv5_2_D"
type: "Convolution"
bottom: "conv5_3_D"
top: "conv5_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_2_D_bn"
type: "BN"
bottom: "conv5_2_D"
top: "conv5_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_2_D"
type: "ReLU"
bottom: "conv5_2_D"
top: "conv5_2_D"
}
layer {
name: "conv5_1_D"
type: "Convolution"
bottom: "conv5_2_D"
top: "conv5_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv5_1_D_bn"
type: "BN"
bottom: "conv5_1_D"
top: "conv5_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu5_1_D"
type: "ReLU"
bottom: "conv5_1_D"
top: "conv5_1_D"
}
layer {
name: "upsample4"
type: "Upsample"
bottom: "conv5_1_D"
bottom: "pool4_mask"
top: "pool4_D"
upsample_param {
scale: 2
upsample_h: 45
upsample_w: 60
}
}
layer {
name: "conv4_3_D"
type: "Convolution"
bottom: "pool4_D"
top: "conv4_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_3_D_bn"
type: "BN"
bottom: "conv4_3_D"
top: "conv4_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_3_D"
type: "ReLU"
bottom: "conv4_3_D"
top: "conv4_3_D"
}
layer {
name: "conv4_2_D"
type: "Convolution"
bottom: "conv4_3_D"
top: "conv4_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_2_D_bn"
type: "BN"
bottom: "conv4_2_D"
top: "conv4_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_2_D"
type: "ReLU"
bottom: "conv4_2_D"
top: "conv4_2_D"
}
layer {
name: "conv4_1_D"
type: "Convolution"
bottom: "conv4_2_D"
top: "conv4_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv4_1_D_bn"
type: "BN"
bottom: "conv4_1_D"
top: "conv4_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu4_1_D"
type: "ReLU"
bottom: "conv4_1_D"
top: "conv4_1_D"
}
layer {
name: "upsample3"
type: "Upsample"
bottom: "conv4_1_D"
bottom: "pool3_mask"
top: "pool3_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv3_3_D"
type: "Convolution"
bottom: "pool3_D"
top: "conv3_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_3_D_bn"
type: "BN"
bottom: "conv3_3_D"
top: "conv3_3_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_3_D"
type: "ReLU"
bottom: "conv3_3_D"
top: "conv3_3_D"
}
layer {
name: "conv3_2_D"
type: "Convolution"
bottom: "conv3_3_D"
top: "conv3_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_2_D_bn"
type: "BN"
bottom: "conv3_2_D"
top: "conv3_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_2_D"
type: "ReLU"
bottom: "conv3_2_D"
top: "conv3_2_D"
}
layer {
name: "conv3_1_D"
type: "Convolution"
bottom: "conv3_2_D"
top: "conv3_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv3_1_D_bn"
type: "BN"
bottom: "conv3_1_D"
top: "conv3_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu3_1_D"
type: "ReLU"
bottom: "conv3_1_D"
top: "conv3_1_D"
}
layer {
name: "upsample2"
type: "Upsample"
bottom: "conv3_1_D"
bottom: "pool2_mask"
top: "pool2_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv2_2_D"
type: "Convolution"
bottom: "pool2_D"
top: "conv2_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_2_D_bn"
type: "BN"
bottom: "conv2_2_D"
top: "conv2_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_2_D"
type: "ReLU"
bottom: "conv2_2_D"
top: "conv2_2_D"
}
layer {
name: "conv2_1_D"
type: "Convolution"
bottom: "conv2_2_D"
top: "conv2_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv2_1_D_bn"
type: "BN"
bottom: "conv2_1_D"
top: "conv2_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu2_1_D"
type: "ReLU"
bottom: "conv2_1_D"
top: "conv2_1_D"
}
layer {
name: "upsample1"
type: "Upsample"
bottom: "conv2_1_D"
bottom: "pool1_mask"
top: "pool1_D"
upsample_param {
scale: 2
}
}
layer {
name: "conv1_2_D"
type: "Convolution"
bottom: "pool1_D"
top: "conv1_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_2_D_bn"
type: "BN"
bottom: "conv1_2_D"
top: "conv1_2_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
scale_filler {
type: "constant"
value: 1
}
shift_filler {
type: "constant"
value: 0
}
bn_mode: INFERENCE
}
}
layer {
name: "relu1_2_D"
type: "ReLU"
bottom: "conv1_2_D"
top: "conv1_2_D"
}
layer {
name: "conv1_1_D"
type: "Convolution"
bottom: "conv1_2_D"
top: "conv1_1_D"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 12
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "argmax"
type: "ArgMax"
bottom: "conv1_1_D"
top: "argmax"
argmax_param {
axis: 1
}
}
I0720 16:45:36.769220 3869 net.cpp:370] Input 0 -> data
I0720 16:45:36.769248 3869 layer_factory.hpp:74] Creating layer conv1_1
I0720 16:45:36.769258 3869 net.cpp:90] Creating Layer conv1_1
I0720 16:45:36.769265 3869 net.cpp:410] conv1_1 <- data
I0720 16:45:36.769273 3869 net.cpp:368] conv1_1 -> conv1_1
I0720 16:45:36.769284 3869 net.cpp:120] Setting up conv1_1
I0720 16:45:36.769624 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.769641 3869 layer_factory.hpp:74] Creating layer conv1_1_bn
I0720 16:45:36.769652 3869 net.cpp:90] Creating Layer conv1_1_bn
I0720 16:45:36.769659 3869 net.cpp:410] conv1_1_bn <- conv1_1
I0720 16:45:36.769668 3869 net.cpp:357] conv1_1_bn -> conv1_1 (in-place)
I0720 16:45:36.769677 3869 net.cpp:120] Setting up conv1_1_bn
I0720 16:45:36.770165 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770180 3869 layer_factory.hpp:74] Creating layer relu1_1
I0720 16:45:36.770190 3869 net.cpp:90] Creating Layer relu1_1
I0720 16:45:36.770195 3869 net.cpp:410] relu1_1 <- conv1_1
I0720 16:45:36.770205 3869 net.cpp:357] relu1_1 -> conv1_1 (in-place)
I0720 16:45:36.770212 3869 net.cpp:120] Setting up relu1_1
I0720 16:45:36.770220 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770226 3869 layer_factory.hpp:74] Creating layer conv1_2
I0720 16:45:36.770234 3869 net.cpp:90] Creating Layer conv1_2
I0720 16:45:36.770241 3869 net.cpp:410] conv1_2 <- conv1_1
I0720 16:45:36.770249 3869 net.cpp:368] conv1_2 -> conv1_2
I0720 16:45:36.770259 3869 net.cpp:120] Setting up conv1_2
I0720 16:45:36.770979 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.770992 3869 layer_factory.hpp:74] Creating layer conv1_2_bn
I0720 16:45:36.771006 3869 net.cpp:90] Creating Layer conv1_2_bn
I0720 16:45:36.771013 3869 net.cpp:410] conv1_2_bn <- conv1_2
I0720 16:45:36.771020 3869 net.cpp:357] conv1_2_bn -> conv1_2 (in-place)
I0720 16:45:36.771028 3869 net.cpp:120] Setting up conv1_2_bn
I0720 16:45:36.771517 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.771529 3869 layer_factory.hpp:74] Creating layer relu1_2
I0720 16:45:36.771539 3869 net.cpp:90] Creating Layer relu1_2
I0720 16:45:36.771545 3869 net.cpp:410] relu1_2 <- conv1_2
I0720 16:45:36.771553 3869 net.cpp:357] relu1_2 -> conv1_2 (in-place)
I0720 16:45:36.771559 3869 net.cpp:120] Setting up relu1_2
I0720 16:45:36.771567 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:36.771574 3869 layer_factory.hpp:74] Creating layer pool1
I0720 16:45:36.771582 3869 net.cpp:90] Creating Layer pool1
I0720 16:45:36.771595 3869 net.cpp:410] pool1 <- conv1_2
I0720 16:45:36.771603 3869 net.cpp:368] pool1 -> pool1
I0720 16:45:36.771612 3869 net.cpp:368] pool1 -> pool1_mask
I0720 16:45:36.771621 3869 net.cpp:120] Setting up pool1
I0720 16:45:36.771632 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:36.778462 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:36.778475 3869 layer_factory.hpp:74] Creating layer conv2_1
I0720 16:45:36.778491 3869 net.cpp:90] Creating Layer conv2_1
I0720 16:45:36.778501 3869 net.cpp:410] conv2_1 <- pool1
I0720 16:45:36.778519 3869 net.cpp:368] conv2_1 -> conv2_1
I0720 16:45:36.778533 3869 net.cpp:120] Setting up conv2_1
I0720 16:45:36.779964 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.779994 3869 layer_factory.hpp:74] Creating layer conv2_1_bn
I0720 16:45:36.780011 3869 net.cpp:90] Creating Layer conv2_1_bn
I0720 16:45:36.780021 3869 net.cpp:410] conv2_1_bn <- conv2_1
I0720 16:45:36.780033 3869 net.cpp:357] conv2_1_bn -> conv2_1 (in-place)
I0720 16:45:36.780046 3869 net.cpp:120] Setting up conv2_1_bn
I0720 16:45:36.780256 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.780272 3869 layer_factory.hpp:74] Creating layer relu2_1
I0720 16:45:36.780287 3869 net.cpp:90] Creating Layer relu2_1
I0720 16:45:36.780295 3869 net.cpp:410] relu2_1 <- conv2_1
I0720 16:45:36.780306 3869 net.cpp:357] relu2_1 -> conv2_1 (in-place)
I0720 16:45:36.780318 3869 net.cpp:120] Setting up relu2_1
I0720 16:45:36.780330 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.780339 3869 layer_factory.hpp:74] Creating layer conv2_2
I0720 16:45:36.780354 3869 net.cpp:90] Creating Layer conv2_2
I0720 16:45:36.780364 3869 net.cpp:410] conv2_2 <- conv2_1
I0720 16:45:36.780376 3869 net.cpp:368] conv2_2 -> conv2_2
I0720 16:45:36.780388 3869 net.cpp:120] Setting up conv2_2
I0720 16:45:36.783288 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783336 3869 layer_factory.hpp:74] Creating layer conv2_2_bn
I0720 16:45:36.783362 3869 net.cpp:90] Creating Layer conv2_2_bn
I0720 16:45:36.783376 3869 net.cpp:410] conv2_2_bn <- conv2_2
I0720 16:45:36.783401 3869 net.cpp:357] conv2_2_bn -> conv2_2 (in-place)
I0720 16:45:36.783421 3869 net.cpp:120] Setting up conv2_2_bn
I0720 16:45:36.783639 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783656 3869 layer_factory.hpp:74] Creating layer relu2_2
I0720 16:45:36.783673 3869 net.cpp:90] Creating Layer relu2_2
I0720 16:45:36.783685 3869 net.cpp:410] relu2_2 <- conv2_2
I0720 16:45:36.783701 3869 net.cpp:357] relu2_2 -> conv2_2 (in-place)
I0720 16:45:36.783721 3869 net.cpp:120] Setting up relu2_2
I0720 16:45:36.783738 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:36.783752 3869 layer_factory.hpp:74] Creating layer pool2
I0720 16:45:36.783769 3869 net.cpp:90] Creating Layer pool2
I0720 16:45:36.783782 3869 net.cpp:410] pool2 <- conv2_2
I0720 16:45:36.783800 3869 net.cpp:368] pool2 -> pool2
I0720 16:45:36.783813 3869 net.cpp:368] pool2 -> pool2_mask
I0720 16:45:36.783828 3869 net.cpp:120] Setting up pool2
I0720 16:45:36.783846 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:36.783862 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:36.783875 3869 layer_factory.hpp:74] Creating layer conv3_1
I0720 16:45:36.783895 3869 net.cpp:90] Creating Layer conv3_1
I0720 16:45:36.783906 3869 net.cpp:410] conv3_1 <- pool2
I0720 16:45:36.783928 3869 net.cpp:368] conv3_1 -> conv3_1
I0720 16:45:36.783948 3869 net.cpp:120] Setting up conv3_1
I0720 16:45:36.788580 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788617 3869 layer_factory.hpp:74] Creating layer conv3_1_bn
I0720 16:45:36.788637 3869 net.cpp:90] Creating Layer conv3_1_bn
I0720 16:45:36.788648 3869 net.cpp:410] conv3_1_bn <- conv3_1
I0720 16:45:36.788672 3869 net.cpp:357] conv3_1_bn -> conv3_1 (in-place)
I0720 16:45:36.788697 3869 net.cpp:120] Setting up conv3_1_bn
I0720 16:45:36.788781 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788795 3869 layer_factory.hpp:74] Creating layer relu3_1
I0720 16:45:36.788811 3869 net.cpp:90] Creating Layer relu3_1
I0720 16:45:36.788823 3869 net.cpp:410] relu3_1 <- conv3_1
I0720 16:45:36.788838 3869 net.cpp:357] relu3_1 -> conv3_1 (in-place)
I0720 16:45:36.788852 3869 net.cpp:120] Setting up relu3_1
I0720 16:45:36.788869 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.788882 3869 layer_factory.hpp:74] Creating layer conv3_2
I0720 16:45:36.788899 3869 net.cpp:90] Creating Layer conv3_2
I0720 16:45:36.788911 3869 net.cpp:410] conv3_2 <- conv3_1
I0720 16:45:36.788934 3869 net.cpp:368] conv3_2 -> conv3_2
I0720 16:45:36.788972 3869 net.cpp:120] Setting up conv3_2
I0720 16:45:36.798022 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798053 3869 layer_factory.hpp:74] Creating layer conv3_2_bn
I0720 16:45:36.798084 3869 net.cpp:90] Creating Layer conv3_2_bn
I0720 16:45:36.798094 3869 net.cpp:410] conv3_2_bn <- conv3_2
I0720 16:45:36.798105 3869 net.cpp:357] conv3_2_bn -> conv3_2 (in-place)
I0720 16:45:36.798116 3869 net.cpp:120] Setting up conv3_2_bn
I0720 16:45:36.798190 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798200 3869 layer_factory.hpp:74] Creating layer relu3_2
I0720 16:45:36.798224 3869 net.cpp:90] Creating Layer relu3_2
I0720 16:45:36.798230 3869 net.cpp:410] relu3_2 <- conv3_2
I0720 16:45:36.798238 3869 net.cpp:357] relu3_2 -> conv3_2 (in-place)
I0720 16:45:36.798245 3869 net.cpp:120] Setting up relu3_2
I0720 16:45:36.798254 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.798260 3869 layer_factory.hpp:74] Creating layer conv3_3
I0720 16:45:36.798270 3869 net.cpp:90] Creating Layer conv3_3
I0720 16:45:36.798280 3869 net.cpp:410] conv3_3 <- conv3_2
I0720 16:45:36.798295 3869 net.cpp:368] conv3_3 -> conv3_3
I0720 16:45:36.798306 3869 net.cpp:120] Setting up conv3_3
I0720 16:45:36.805877 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.805920 3869 layer_factory.hpp:74] Creating layer conv3_3_bn
I0720 16:45:36.805938 3869 net.cpp:90] Creating Layer conv3_3_bn
I0720 16:45:36.805945 3869 net.cpp:410] conv3_3_bn <- conv3_3
I0720 16:45:36.805956 3869 net.cpp:357] conv3_3_bn -> conv3_3 (in-place)
I0720 16:45:36.805969 3869 net.cpp:120] Setting up conv3_3_bn
I0720 16:45:36.806030 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.806041 3869 layer_factory.hpp:74] Creating layer relu3_3
I0720 16:45:36.806048 3869 net.cpp:90] Creating Layer relu3_3
I0720 16:45:36.806054 3869 net.cpp:410] relu3_3 <- conv3_3
I0720 16:45:36.806061 3869 net.cpp:357] relu3_3 -> conv3_3 (in-place)
I0720 16:45:36.806069 3869 net.cpp:120] Setting up relu3_3
I0720 16:45:36.806077 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:36.806083 3869 layer_factory.hpp:74] Creating layer pool3
I0720 16:45:36.806094 3869 net.cpp:90] Creating Layer pool3
I0720 16:45:36.806099 3869 net.cpp:410] pool3 <- conv3_3
I0720 16:45:36.806107 3869 net.cpp:368] pool3 -> pool3
I0720 16:45:36.806118 3869 net.cpp:368] pool3 -> pool3_mask
I0720 16:45:36.806125 3869 net.cpp:120] Setting up pool3
I0720 16:45:36.806135 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:36.806143 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:36.806147 3869 layer_factory.hpp:74] Creating layer conv4_1
I0720 16:45:36.806159 3869 net.cpp:90] Creating Layer conv4_1
I0720 16:45:36.806164 3869 net.cpp:410] conv4_1 <- pool3
I0720 16:45:36.806174 3869 net.cpp:368] conv4_1 -> conv4_1
I0720 16:45:36.806183 3869 net.cpp:120] Setting up conv4_1
I0720 16:45:36.820060 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820091 3869 layer_factory.hpp:74] Creating layer conv4_1_bn
I0720 16:45:36.820116 3869 net.cpp:90] Creating Layer conv4_1_bn
I0720 16:45:36.820127 3869 net.cpp:410] conv4_1_bn <- conv4_1
I0720 16:45:36.820143 3869 net.cpp:357] conv4_1_bn -> conv4_1 (in-place)
I0720 16:45:36.820158 3869 net.cpp:120] Setting up conv4_1_bn
I0720 16:45:36.820192 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820220 3869 layer_factory.hpp:74] Creating layer relu4_1
I0720 16:45:36.820238 3869 net.cpp:90] Creating Layer relu4_1
I0720 16:45:36.820245 3869 net.cpp:410] relu4_1 <- conv4_1
I0720 16:45:36.820257 3869 net.cpp:357] relu4_1 -> conv4_1 (in-place)
I0720 16:45:36.820269 3869 net.cpp:120] Setting up relu4_1
I0720 16:45:36.820281 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.820288 3869 layer_factory.hpp:74] Creating layer conv4_2
I0720 16:45:36.820302 3869 net.cpp:90] Creating Layer conv4_2
I0720 16:45:36.820312 3869 net.cpp:410] conv4_2 <- conv4_1
I0720 16:45:36.820327 3869 net.cpp:368] conv4_2 -> conv4_2
I0720 16:45:36.820340 3869 net.cpp:120] Setting up conv4_2
I0720 16:45:36.848635 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848687 3869 layer_factory.hpp:74] Creating layer conv4_2_bn
I0720 16:45:36.848711 3869 net.cpp:90] Creating Layer conv4_2_bn
I0720 16:45:36.848732 3869 net.cpp:410] conv4_2_bn <- conv4_2
I0720 16:45:36.848762 3869 net.cpp:357] conv4_2_bn -> conv4_2 (in-place)
I0720 16:45:36.848779 3869 net.cpp:120] Setting up conv4_2_bn
I0720 16:45:36.848826 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848839 3869 layer_factory.hpp:74] Creating layer relu4_2
I0720 16:45:36.848856 3869 net.cpp:90] Creating Layer relu4_2
I0720 16:45:36.848862 3869 net.cpp:410] relu4_2 <- conv4_2
I0720 16:45:36.848873 3869 net.cpp:357] relu4_2 -> conv4_2 (in-place)
I0720 16:45:36.848886 3869 net.cpp:120] Setting up relu4_2
I0720 16:45:36.848897 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.848904 3869 layer_factory.hpp:74] Creating layer conv4_3
I0720 16:45:36.848920 3869 net.cpp:90] Creating Layer conv4_3
I0720 16:45:36.848929 3869 net.cpp:410] conv4_3 <- conv4_2
I0720 16:45:36.848960 3869 net.cpp:368] conv4_3 -> conv4_3
I0720 16:45:36.848984 3869 net.cpp:120] Setting up conv4_3
I0720 16:45:36.877774 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877817 3869 layer_factory.hpp:74] Creating layer conv4_3_bn
I0720 16:45:36.877837 3869 net.cpp:90] Creating Layer conv4_3_bn
I0720 16:45:36.877847 3869 net.cpp:410] conv4_3_bn <- conv4_3
I0720 16:45:36.877859 3869 net.cpp:357] conv4_3_bn -> conv4_3 (in-place)
I0720 16:45:36.877874 3869 net.cpp:120] Setting up conv4_3_bn
I0720 16:45:36.877903 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877914 3869 layer_factory.hpp:74] Creating layer relu4_3
I0720 16:45:36.877928 3869 net.cpp:90] Creating Layer relu4_3
I0720 16:45:36.877938 3869 net.cpp:410] relu4_3 <- conv4_3
I0720 16:45:36.877951 3869 net.cpp:357] relu4_3 -> conv4_3 (in-place)
I0720 16:45:36.877964 3869 net.cpp:120] Setting up relu4_3
I0720 16:45:36.877979 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:36.877986 3869 layer_factory.hpp:74] Creating layer pool4
I0720 16:45:36.878001 3869 net.cpp:90] Creating Layer pool4
I0720 16:45:36.878010 3869 net.cpp:410] pool4 <- conv4_3
I0720 16:45:36.878026 3869 net.cpp:368] pool4 -> pool4
I0720 16:45:36.878041 3869 net.cpp:368] pool4 -> pool4_mask
I0720 16:45:36.878052 3869 net.cpp:120] Setting up pool4
I0720 16:45:36.878067 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.878077 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.878084 3869 layer_factory.hpp:74] Creating layer conv5_1
I0720 16:45:36.878100 3869 net.cpp:90] Creating Layer conv5_1
I0720 16:45:36.878108 3869 net.cpp:410] conv5_1 <- pool4
I0720 16:45:36.878121 3869 net.cpp:368] conv5_1 -> conv5_1
I0720 16:45:36.878135 3869 net.cpp:120] Setting up conv5_1
I0720 16:45:36.906646 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906700 3869 layer_factory.hpp:74] Creating layer conv5_1_bn
I0720 16:45:36.906733 3869 net.cpp:90] Creating Layer conv5_1_bn
I0720 16:45:36.906749 3869 net.cpp:410] conv5_1_bn <- conv5_1
I0720 16:45:36.906770 3869 net.cpp:357] conv5_1_bn -> conv5_1 (in-place)
I0720 16:45:36.906790 3869 net.cpp:120] Setting up conv5_1_bn
I0720 16:45:36.906821 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906836 3869 layer_factory.hpp:74] Creating layer relu5_1
I0720 16:45:36.906849 3869 net.cpp:90] Creating Layer relu5_1
I0720 16:45:36.906858 3869 net.cpp:410] relu5_1 <- conv5_1
I0720 16:45:36.906884 3869 net.cpp:357] relu5_1 -> conv5_1 (in-place)
I0720 16:45:36.906896 3869 net.cpp:120] Setting up relu5_1
I0720 16:45:36.906909 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.906919 3869 layer_factory.hpp:74] Creating layer conv5_2
I0720 16:45:36.906934 3869 net.cpp:90] Creating Layer conv5_2
I0720 16:45:36.906942 3869 net.cpp:410] conv5_2 <- conv5_1
I0720 16:45:36.906955 3869 net.cpp:368] conv5_2 -> conv5_2
I0720 16:45:36.906968 3869 net.cpp:120] Setting up conv5_2
I0720 16:45:36.934434 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934478 3869 layer_factory.hpp:74] Creating layer conv5_2_bn
I0720 16:45:36.934516 3869 net.cpp:90] Creating Layer conv5_2_bn
I0720 16:45:36.934528 3869 net.cpp:410] conv5_2_bn <- conv5_2
I0720 16:45:36.934545 3869 net.cpp:357] conv5_2_bn -> conv5_2 (in-place)
I0720 16:45:36.934562 3869 net.cpp:120] Setting up conv5_2_bn
I0720 16:45:36.934592 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934604 3869 layer_factory.hpp:74] Creating layer relu5_2
I0720 16:45:36.934613 3869 net.cpp:90] Creating Layer relu5_2
I0720 16:45:36.934620 3869 net.cpp:410] relu5_2 <- conv5_2
I0720 16:45:36.934633 3869 net.cpp:357] relu5_2 -> conv5_2 (in-place)
I0720 16:45:36.934641 3869 net.cpp:120] Setting up relu5_2
I0720 16:45:36.934650 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.934655 3869 layer_factory.hpp:74] Creating layer conv5_3
I0720 16:45:36.934669 3869 net.cpp:90] Creating Layer conv5_3
I0720 16:45:36.934675 3869 net.cpp:410] conv5_3 <- conv5_2
I0720 16:45:36.934684 3869 net.cpp:368] conv5_3 -> conv5_3
I0720 16:45:36.934693 3869 net.cpp:120] Setting up conv5_3
I0720 16:45:36.962703 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.962745 3869 layer_factory.hpp:74] Creating layer conv5_3_bn
I0720 16:45:36.962776 3869 net.cpp:90] Creating Layer conv5_3_bn
I0720 16:45:36.962793 3869 net.cpp:410] conv5_3_bn <- conv5_3
I0720 16:45:36.962815 3869 net.cpp:357] conv5_3_bn -> conv5_3 (in-place)
I0720 16:45:36.962833 3869 net.cpp:120] Setting up conv5_3_bn
I0720 16:45:36.962880 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.962930 3869 layer_factory.hpp:74] Creating layer relu5_3
I0720 16:45:36.962965 3869 net.cpp:90] Creating Layer relu5_3
I0720 16:45:36.962978 3869 net.cpp:410] relu5_3 <- conv5_3
I0720 16:45:36.962997 3869 net.cpp:357] relu5_3 -> conv5_3 (in-place)
I0720 16:45:36.963014 3869 net.cpp:120] Setting up relu5_3
I0720 16:45:36.963038 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.963049 3869 layer_factory.hpp:74] Creating layer pool5
I0720 16:45:36.963063 3869 net.cpp:90] Creating Layer pool5
I0720 16:45:36.963073 3869 net.cpp:410] pool5 <- conv5_3
I0720 16:45:36.963085 3869 net.cpp:368] pool5 -> pool5
I0720 16:45:36.963104 3869 net.cpp:368] pool5 -> pool5_mask
I0720 16:45:36.963121 3869 net.cpp:120] Setting up pool5
I0720 16:45:36.963140 3869 net.cpp:127] Top shape: 1 512 12 15 (92160)
I0720 16:45:36.963148 3869 net.cpp:127] Top shape: 1 512 12 15 (92160)
I0720 16:45:36.963155 3869 layer_factory.hpp:74] Creating layer upsample5
I0720 16:45:36.963165 3869 net.cpp:90] Creating Layer upsample5
I0720 16:45:36.963171 3869 net.cpp:410] upsample5 <- pool5
I0720 16:45:36.963178 3869 net.cpp:410] upsample5 <- pool5_mask
I0720 16:45:36.963187 3869 net.cpp:368] upsample5 -> pool5_D
I0720 16:45:36.963197 3869 net.cpp:120] Setting up upsample5
I0720 16:45:36.963207 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.963213 3869 layer_factory.hpp:74] Creating layer conv5_3_D
I0720 16:45:36.963227 3869 net.cpp:90] Creating Layer conv5_3_D
I0720 16:45:36.963234 3869 net.cpp:410] conv5_3_D <- pool5_D
I0720 16:45:36.963246 3869 net.cpp:368] conv5_3_D -> conv5_3_D
I0720 16:45:36.963255 3869 net.cpp:120] Setting up conv5_3_D
I0720 16:45:36.990511 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990538 3869 layer_factory.hpp:74] Creating layer conv5_3_D_bn
I0720 16:45:36.990566 3869 net.cpp:90] Creating Layer conv5_3_D_bn
I0720 16:45:36.990573 3869 net.cpp:410] conv5_3_D_bn <- conv5_3_D
I0720 16:45:36.990593 3869 net.cpp:357] conv5_3_D_bn -> conv5_3_D (in-place)
I0720 16:45:36.990607 3869 net.cpp:120] Setting up conv5_3_D_bn
I0720 16:45:36.990628 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990638 3869 layer_factory.hpp:74] Creating layer relu5_3_D
I0720 16:45:36.990648 3869 net.cpp:90] Creating Layer relu5_3_D
I0720 16:45:36.990653 3869 net.cpp:410] relu5_3_D <- conv5_3_D
I0720 16:45:36.990662 3869 net.cpp:357] relu5_3_D -> conv5_3_D (in-place)
I0720 16:45:36.990670 3869 net.cpp:120] Setting up relu5_3_D
I0720 16:45:36.990679 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:36.990684 3869 layer_factory.hpp:74] Creating layer conv5_2_D
I0720 16:45:36.990694 3869 net.cpp:90] Creating Layer conv5_2_D
I0720 16:45:36.990700 3869 net.cpp:410] conv5_2_D <- conv5_3_D
I0720 16:45:36.990707 3869 net.cpp:368] conv5_2_D -> conv5_2_D
I0720 16:45:36.990716 3869 net.cpp:120] Setting up conv5_2_D
I0720 16:45:37.018801 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018852 3869 layer_factory.hpp:74] Creating layer conv5_2_D_bn
I0720 16:45:37.018869 3869 net.cpp:90] Creating Layer conv5_2_D_bn
I0720 16:45:37.018878 3869 net.cpp:410] conv5_2_D_bn <- conv5_2_D
I0720 16:45:37.018890 3869 net.cpp:357] conv5_2_D_bn -> conv5_2_D (in-place)
I0720 16:45:37.018904 3869 net.cpp:120] Setting up conv5_2_D_bn
I0720 16:45:37.018929 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018939 3869 layer_factory.hpp:74] Creating layer relu5_2_D
I0720 16:45:37.018949 3869 net.cpp:90] Creating Layer relu5_2_D
I0720 16:45:37.018955 3869 net.cpp:410] relu5_2_D <- conv5_2_D
I0720 16:45:37.018962 3869 net.cpp:357] relu5_2_D -> conv5_2_D (in-place)
I0720 16:45:37.018970 3869 net.cpp:120] Setting up relu5_2_D
I0720 16:45:37.018980 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.018985 3869 layer_factory.hpp:74] Creating layer conv5_1_D
I0720 16:45:37.018998 3869 net.cpp:90] Creating Layer conv5_1_D
I0720 16:45:37.019011 3869 net.cpp:410] conv5_1_D <- conv5_2_D
I0720 16:45:37.019026 3869 net.cpp:368] conv5_1_D -> conv5_1_D
I0720 16:45:37.019039 3869 net.cpp:120] Setting up conv5_1_D
I0720 16:45:37.047513 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047564 3869 layer_factory.hpp:74] Creating layer conv5_1_D_bn
I0720 16:45:37.047585 3869 net.cpp:90] Creating Layer conv5_1_D_bn
I0720 16:45:37.047595 3869 net.cpp:410] conv5_1_D_bn <- conv5_1_D
I0720 16:45:37.047606 3869 net.cpp:357] conv5_1_D_bn -> conv5_1_D (in-place)
I0720 16:45:37.047619 3869 net.cpp:120] Setting up conv5_1_D_bn
I0720 16:45:37.047643 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047653 3869 layer_factory.hpp:74] Creating layer relu5_1_D
I0720 16:45:37.047663 3869 net.cpp:90] Creating Layer relu5_1_D
I0720 16:45:37.047670 3869 net.cpp:410] relu5_1_D <- conv5_1_D
I0720 16:45:37.047678 3869 net.cpp:357] relu5_1_D -> conv5_1_D (in-place)
I0720 16:45:37.047686 3869 net.cpp:120] Setting up relu5_1_D
I0720 16:45:37.047694 3869 net.cpp:127] Top shape: 1 512 23 30 (353280)
I0720 16:45:37.047700 3869 layer_factory.hpp:74] Creating layer upsample4
I0720 16:45:37.047709 3869 net.cpp:90] Creating Layer upsample4
I0720 16:45:37.047715 3869 net.cpp:410] upsample4 <- conv5_1_D
I0720 16:45:37.047722 3869 net.cpp:410] upsample4 <- pool4_mask
I0720 16:45:37.047732 3869 net.cpp:368] upsample4 -> pool4_D
I0720 16:45:37.047741 3869 net.cpp:120] Setting up upsample4
I0720 16:45:37.047757 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.047766 3869 layer_factory.hpp:74] Creating layer conv4_3_D
I0720 16:45:37.047781 3869 net.cpp:90] Creating Layer conv4_3_D
I0720 16:45:37.047791 3869 net.cpp:410] conv4_3_D <- pool4_D
I0720 16:45:37.047803 3869 net.cpp:368] conv4_3_D -> conv4_3_D
I0720 16:45:37.047816 3869 net.cpp:120] Setting up conv4_3_D
I0720 16:45:37.076069 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076135 3869 layer_factory.hpp:74] Creating layer conv4_3_D_bn
I0720 16:45:37.076159 3869 net.cpp:90] Creating Layer conv4_3_D_bn
I0720 16:45:37.076170 3869 net.cpp:410] conv4_3_D_bn <- conv4_3_D
I0720 16:45:37.076191 3869 net.cpp:357] conv4_3_D_bn -> conv4_3_D (in-place)
I0720 16:45:37.076208 3869 net.cpp:120] Setting up conv4_3_D_bn
I0720 16:45:37.076238 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076252 3869 layer_factory.hpp:74] Creating layer relu4_3_D
I0720 16:45:37.076265 3869 net.cpp:90] Creating Layer relu4_3_D
I0720 16:45:37.076274 3869 net.cpp:410] relu4_3_D <- conv4_3_D
I0720 16:45:37.076285 3869 net.cpp:357] relu4_3_D -> conv4_3_D (in-place)
I0720 16:45:37.076297 3869 net.cpp:120] Setting up relu4_3_D
I0720 16:45:37.076309 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.076318 3869 layer_factory.hpp:74] Creating layer conv4_2_D
I0720 16:45:37.076330 3869 net.cpp:90] Creating Layer conv4_2_D
I0720 16:45:37.076339 3869 net.cpp:410] conv4_2_D <- conv4_3_D
I0720 16:45:37.076354 3869 net.cpp:368] conv4_2_D -> conv4_2_D
I0720 16:45:37.076364 3869 net.cpp:120] Setting up conv4_2_D
I0720 16:45:37.104485 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104533 3869 layer_factory.hpp:74] Creating layer conv4_2_D_bn
I0720 16:45:37.104552 3869 net.cpp:90] Creating Layer conv4_2_D_bn
I0720 16:45:37.104562 3869 net.cpp:410] conv4_2_D_bn <- conv4_2_D
I0720 16:45:37.104575 3869 net.cpp:357] conv4_2_D_bn -> conv4_2_D (in-place)
I0720 16:45:37.104589 3869 net.cpp:120] Setting up conv4_2_D_bn
I0720 16:45:37.104629 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104640 3869 layer_factory.hpp:74] Creating layer relu4_2_D
I0720 16:45:37.104651 3869 net.cpp:90] Creating Layer relu4_2_D
I0720 16:45:37.104658 3869 net.cpp:410] relu4_2_D <- conv4_2_D
I0720 16:45:37.104666 3869 net.cpp:357] relu4_2_D -> conv4_2_D (in-place)
I0720 16:45:37.104674 3869 net.cpp:120] Setting up relu4_2_D
I0720 16:45:37.104682 3869 net.cpp:127] Top shape: 1 512 45 60 (1382400)
I0720 16:45:37.104688 3869 layer_factory.hpp:74] Creating layer conv4_1_D
I0720 16:45:37.104698 3869 net.cpp:90] Creating Layer conv4_1_D
I0720 16:45:37.104704 3869 net.cpp:410] conv4_1_D <- conv4_2_D
I0720 16:45:37.104712 3869 net.cpp:368] conv4_1_D -> conv4_1_D
I0720 16:45:37.104722 3869 net.cpp:120] Setting up conv4_1_D
I0720 16:45:37.119027 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119050 3869 layer_factory.hpp:74] Creating layer conv4_1_D_bn
I0720 16:45:37.119065 3869 net.cpp:90] Creating Layer conv4_1_D_bn
I0720 16:45:37.119072 3869 net.cpp:410] conv4_1_D_bn <- conv4_1_D
I0720 16:45:37.119083 3869 net.cpp:357] conv4_1_D_bn -> conv4_1_D (in-place)
I0720 16:45:37.119093 3869 net.cpp:120] Setting up conv4_1_D_bn
I0720 16:45:37.119118 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119128 3869 layer_factory.hpp:74] Creating layer relu4_1_D
I0720 16:45:37.119137 3869 net.cpp:90] Creating Layer relu4_1_D
I0720 16:45:37.119143 3869 net.cpp:410] relu4_1_D <- conv4_1_D
I0720 16:45:37.119151 3869 net.cpp:357] relu4_1_D -> conv4_1_D (in-place)
I0720 16:45:37.119165 3869 net.cpp:120] Setting up relu4_1_D
I0720 16:45:37.119179 3869 net.cpp:127] Top shape: 1 256 45 60 (691200)
I0720 16:45:37.119189 3869 layer_factory.hpp:74] Creating layer upsample3
I0720 16:45:37.119212 3869 net.cpp:90] Creating Layer upsample3
I0720 16:45:37.119221 3869 net.cpp:410] upsample3 <- conv4_1_D
I0720 16:45:37.119233 3869 net.cpp:410] upsample3 <- pool3_mask
I0720 16:45:37.119246 3869 net.cpp:368] upsample3 -> pool3_D
I0720 16:45:37.119263 3869 net.cpp:120] Setting up upsample3
I0720 16:45:37.119272 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.119287 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.119297 3869 layer_factory.hpp:74] Creating layer conv3_3_D
I0720 16:45:37.119309 3869 net.cpp:90] Creating Layer conv3_3_D
I0720 16:45:37.119318 3869 net.cpp:410] conv3_3_D <- pool3_D
I0720 16:45:37.119330 3869 net.cpp:368] conv3_3_D -> conv3_3_D
I0720 16:45:37.119343 3869 net.cpp:120] Setting up conv3_3_D
I0720 16:45:37.127251 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127334 3869 layer_factory.hpp:74] Creating layer conv3_3_D_bn
I0720 16:45:37.127364 3869 net.cpp:90] Creating Layer conv3_3_D_bn
I0720 16:45:37.127379 3869 net.cpp:410] conv3_3_D_bn <- conv3_3_D
I0720 16:45:37.127395 3869 net.cpp:357] conv3_3_D_bn -> conv3_3_D (in-place)
I0720 16:45:37.127414 3869 net.cpp:120] Setting up conv3_3_D_bn
I0720 16:45:37.127497 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127511 3869 layer_factory.hpp:74] Creating layer relu3_3_D
I0720 16:45:37.127533 3869 net.cpp:90] Creating Layer relu3_3_D
I0720 16:45:37.127542 3869 net.cpp:410] relu3_3_D <- conv3_3_D
I0720 16:45:37.127557 3869 net.cpp:357] relu3_3_D -> conv3_3_D (in-place)
I0720 16:45:37.127568 3869 net.cpp:120] Setting up relu3_3_D
I0720 16:45:37.127578 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.127588 3869 layer_factory.hpp:74] Creating layer conv3_2_D
I0720 16:45:37.127607 3869 net.cpp:90] Creating Layer conv3_2_D
I0720 16:45:37.127619 3869 net.cpp:410] conv3_2_D <- conv3_3_D
I0720 16:45:37.127634 3869 net.cpp:368] conv3_2_D -> conv3_2_D
I0720 16:45:37.127650 3869 net.cpp:120] Setting up conv3_2_D
I0720 16:45:37.134773 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.134790 3869 layer_factory.hpp:74] Creating layer conv3_2_D_bn
I0720 16:45:37.134809 3869 net.cpp:90] Creating Layer conv3_2_D_bn
I0720 16:45:37.134820 3869 net.cpp:410] conv3_2_D_bn <- conv3_2_D
I0720 16:45:37.134836 3869 net.cpp:357] conv3_2_D_bn -> conv3_2_D (in-place)
I0720 16:45:37.134851 3869 net.cpp:120] Setting up conv3_2_D_bn
I0720 16:45:37.134915 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.134929 3869 layer_factory.hpp:74] Creating layer relu3_2_D
I0720 16:45:37.134943 3869 net.cpp:90] Creating Layer relu3_2_D
I0720 16:45:37.134953 3869 net.cpp:410] relu3_2_D <- conv3_2_D
I0720 16:45:37.134965 3869 net.cpp:357] relu3_2_D -> conv3_2_D (in-place)
I0720 16:45:37.134977 3869 net.cpp:120] Setting up relu3_2_D
I0720 16:45:37.134991 3869 net.cpp:127] Top shape: 1 256 90 120 (2764800)
I0720 16:45:37.135000 3869 layer_factory.hpp:74] Creating layer conv3_1_D
I0720 16:45:37.135016 3869 net.cpp:90] Creating Layer conv3_1_D
I0720 16:45:37.135027 3869 net.cpp:410] conv3_1_D <- conv3_2_D
I0720 16:45:37.135044 3869 net.cpp:368] conv3_1_D -> conv3_1_D
I0720 16:45:37.135059 3869 net.cpp:120] Setting up conv3_1_D
I0720 16:45:37.138672 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138689 3869 layer_factory.hpp:74] Creating layer conv3_1_D_bn
I0720 16:45:37.138706 3869 net.cpp:90] Creating Layer conv3_1_D_bn
I0720 16:45:37.138717 3869 net.cpp:410] conv3_1_D_bn <- conv3_1_D
I0720 16:45:37.138733 3869 net.cpp:357] conv3_1_D_bn -> conv3_1_D (in-place)
I0720 16:45:37.138748 3869 net.cpp:120] Setting up conv3_1_D_bn
I0720 16:45:37.138813 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138828 3869 layer_factory.hpp:74] Creating layer relu3_1_D
I0720 16:45:37.138841 3869 net.cpp:90] Creating Layer relu3_1_D
I0720 16:45:37.138851 3869 net.cpp:410] relu3_1_D <- conv3_1_D
I0720 16:45:37.138866 3869 net.cpp:357] relu3_1_D -> conv3_1_D (in-place)
I0720 16:45:37.138880 3869 net.cpp:120] Setting up relu3_1_D
I0720 16:45:37.138893 3869 net.cpp:127] Top shape: 1 128 90 120 (1382400)
I0720 16:45:37.138903 3869 layer_factory.hpp:74] Creating layer upsample2
I0720 16:45:37.138917 3869 net.cpp:90] Creating Layer upsample2
I0720 16:45:37.138926 3869 net.cpp:410] upsample2 <- conv3_1_D
I0720 16:45:37.138938 3869 net.cpp:410] upsample2 <- pool2_mask
I0720 16:45:37.138952 3869 net.cpp:368] upsample2 -> pool2_D
I0720 16:45:37.138968 3869 net.cpp:120] Setting up upsample2
I0720 16:45:37.138978 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.138993 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.139003 3869 layer_factory.hpp:74] Creating layer conv2_2_D
I0720 16:45:37.139017 3869 net.cpp:90] Creating Layer conv2_2_D
I0720 16:45:37.139027 3869 net.cpp:410] conv2_2_D <- pool2_D
I0720 16:45:37.139044 3869 net.cpp:368] conv2_2_D -> conv2_2_D
I0720 16:45:37.139058 3869 net.cpp:120] Setting up conv2_2_D
I0720 16:45:37.140924 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.140939 3869 layer_factory.hpp:74] Creating layer conv2_2_D_bn
I0720 16:45:37.140962 3869 net.cpp:90] Creating Layer conv2_2_D_bn
I0720 16:45:37.140974 3869 net.cpp:410] conv2_2_D_bn <- conv2_2_D
I0720 16:45:37.140990 3869 net.cpp:357] conv2_2_D_bn -> conv2_2_D (in-place)
I0720 16:45:37.141005 3869 net.cpp:120] Setting up conv2_2_D_bn
I0720 16:45:37.141165 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.141180 3869 layer_factory.hpp:74] Creating layer relu2_2_D
I0720 16:45:37.141193 3869 net.cpp:90] Creating Layer relu2_2_D
I0720 16:45:37.141203 3869 net.cpp:410] relu2_2_D <- conv2_2_D
I0720 16:45:37.141218 3869 net.cpp:357] relu2_2_D -> conv2_2_D (in-place)
I0720 16:45:37.141232 3869 net.cpp:120] Setting up relu2_2_D
I0720 16:45:37.141243 3869 net.cpp:127] Top shape: 1 128 180 240 (5529600)
I0720 16:45:37.141253 3869 layer_factory.hpp:74] Creating layer conv2_1_D
I0720 16:45:37.141268 3869 net.cpp:90] Creating Layer conv2_1_D
I0720 16:45:37.141278 3869 net.cpp:410] conv2_1_D <- conv2_2_D
I0720 16:45:37.141294 3869 net.cpp:368] conv2_1_D -> conv2_1_D
I0720 16:45:37.141309 3869 net.cpp:120] Setting up conv2_1_D
I0720 16:45:37.142305 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142321 3869 layer_factory.hpp:74] Creating layer conv2_1_D_bn
I0720 16:45:37.142338 3869 net.cpp:90] Creating Layer conv2_1_D_bn
I0720 16:45:37.142349 3869 net.cpp:410] conv2_1_D_bn <- conv2_1_D
I0720 16:45:37.142364 3869 net.cpp:357] conv2_1_D_bn -> conv2_1_D (in-place)
I0720 16:45:37.142379 3869 net.cpp:120] Setting up conv2_1_D_bn
I0720 16:45:37.142536 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142551 3869 layer_factory.hpp:74] Creating layer relu2_1_D
I0720 16:45:37.142563 3869 net.cpp:90] Creating Layer relu2_1_D
I0720 16:45:37.142572 3869 net.cpp:410] relu2_1_D <- conv2_1_D
I0720 16:45:37.142590 3869 net.cpp:357] relu2_1_D -> conv2_1_D (in-place)
I0720 16:45:37.142603 3869 net.cpp:120] Setting up relu2_1_D
I0720 16:45:37.142618 3869 net.cpp:127] Top shape: 1 64 180 240 (2764800)
I0720 16:45:37.142627 3869 layer_factory.hpp:74] Creating layer upsample1
I0720 16:45:37.142649 3869 net.cpp:90] Creating Layer upsample1
I0720 16:45:37.142657 3869 net.cpp:410] upsample1 <- conv2_1_D
I0720 16:45:37.142666 3869 net.cpp:410] upsample1 <- pool1_mask
I0720 16:45:37.142681 3869 net.cpp:368] upsample1 -> pool1_D
I0720 16:45:37.142693 3869 net.cpp:120] Setting up upsample1
I0720 16:45:37.142700 3869 upsample_layer.cpp:31] Params 'pad_out_{}_' are deprecated. Please declare upsample height and width useing the upsample_h, upsample_w parameters.
I0720 16:45:37.142714 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.142721 3869 layer_factory.hpp:74] Creating layer conv1_2_D
I0720 16:45:37.142736 3869 net.cpp:90] Creating Layer conv1_2_D
I0720 16:45:37.142745 3869 net.cpp:410] conv1_2_D <- pool1_D
I0720 16:45:37.142760 3869 net.cpp:368] conv1_2_D -> conv1_2_D
I0720 16:45:37.142772 3869 net.cpp:120] Setting up conv1_2_D
I0720 16:45:37.143498 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.143514 3869 layer_factory.hpp:74] Creating layer conv1_2_D_bn
I0720 16:45:37.143527 3869 net.cpp:90] Creating Layer conv1_2_D_bn
I0720 16:45:37.143535 3869 net.cpp:410] conv1_2_D_bn <- conv1_2_D
I0720 16:45:37.143550 3869 net.cpp:357] conv1_2_D_bn -> conv1_2_D (in-place)
I0720 16:45:37.143561 3869 net.cpp:120] Setting up conv1_2_D_bn
I0720 16:45:37.144053 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.144070 3869 layer_factory.hpp:74] Creating layer relu1_2_D
I0720 16:45:37.144081 3869 net.cpp:90] Creating Layer relu1_2_D
I0720 16:45:37.144089 3869 net.cpp:410] relu1_2_D <- conv1_2_D
I0720 16:45:37.144104 3869 net.cpp:357] relu1_2_D -> conv1_2_D (in-place)
I0720 16:45:37.144114 3869 net.cpp:120] Setting up relu1_2_D
I0720 16:45:37.144126 3869 net.cpp:127] Top shape: 1 64 360 480 (11059200)
I0720 16:45:37.144134 3869 layer_factory.hpp:74] Creating layer conv1_1_D
I0720 16:45:37.144146 3869 net.cpp:90] Creating Layer conv1_1_D
I0720 16:45:37.144155 3869 net.cpp:410] conv1_1_D <- conv1_2_D
I0720 16:45:37.144168 3869 net.cpp:368] conv1_1_D -> conv1_1_D
I0720 16:45:37.144181 3869 net.cpp:120] Setting up conv1_1_D
I0720 16:45:37.144541 3869 net.cpp:127] Top shape: 1 12 360 480 (2073600)
I0720 16:45:37.144556 3869 layer_factory.hpp:74] Creating layer argmax
I0720 16:45:37.144570 3869 net.cpp:90] Creating Layer argmax
I0720 16:45:37.144578 3869 net.cpp:410] argmax <- conv1_1_D
I0720 16:45:37.144590 3869 net.cpp:368] argmax -> argmax
I0720 16:45:37.144599 3869 net.cpp:120] Setting up argmax
I0720 16:45:37.144613 3869 net.cpp:127] Top shape: 1 1 360 480 (172800)
I0720 16:45:37.144618 3869 net.cpp:194] argmax does not need backward computation.
I0720 16:45:37.144625 3869 net.cpp:194] conv1_1_D does not need backward computation.
I0720 16:45:37.144631 3869 net.cpp:194] relu1_2_D does not need backward computation.
I0720 16:45:37.144639 3869 net.cpp:194] conv1_2_D_bn does not need backward computation.
I0720 16:45:37.144649 3869 net.cpp:194] conv1_2_D does not need backward computation.
I0720 16:45:37.144657 3869 net.cpp:194] upsample1 does not need backward computation.
I0720 16:45:37.144667 3869 net.cpp:194] relu2_1_D does not need backward computation.
I0720 16:45:37.144675 3869 net.cpp:194] conv2_1_D_bn does not need backward computation.
I0720 16:45:37.144685 3869 net.cpp:194] conv2_1_D does not need backward computation.
I0720 16:45:37.144693 3869 net.cpp:194] relu2_2_D does not need backward computation.
I0720 16:45:37.144703 3869 net.cpp:194] conv2_2_D_bn does not need backward computation.
I0720 16:45:37.144712 3869 net.cpp:194] conv2_2_D does not need backward computation.
I0720 16:45:37.144721 3869 net.cpp:194] upsample2 does not need backward computation.
I0720 16:45:37.144731 3869 net.cpp:194] relu3_1_D does not need backward computation.
I0720 16:45:37.144739 3869 net.cpp:194] conv3_1_D_bn does not need backward computation.
I0720 16:45:37.144748 3869 net.cpp:194] conv3_1_D does not need backward computation.
I0720 16:45:37.144757 3869 net.cpp:194] relu3_2_D does not need backward computation.
I0720 16:45:37.144767 3869 net.cpp:194] conv3_2_D_bn does not need backward computation.
I0720 16:45:37.144774 3869 net.cpp:194] conv3_2_D does not need backward computation.
I0720 16:45:37.144783 3869 net.cpp:194] relu3_3_D does not need backward computation.
I0720 16:45:37.144794 3869 net.cpp:194] conv3_3_D_bn does not need backward computation.
I0720 16:45:37.144804 3869 net.cpp:194] conv3_3_D does not need backward computation.
I0720 16:45:37.144814 3869 net.cpp:194] upsample3 does not need backward computation.
I0720 16:45:37.144822 3869 net.cpp:194] relu4_1_D does not need backward computation.
I0720 16:45:37.144830 3869 net.cpp:194] conv4_1_D_bn does not need backward computation.
I0720 16:45:37.144840 3869 net.cpp:194] conv4_1_D does not need backward computation.
I0720 16:45:37.144848 3869 net.cpp:194] relu4_2_D does not need backward computation.
I0720 16:45:37.144857 3869 net.cpp:194] conv4_2_D_bn does not need backward computation.
I0720 16:45:37.144865 3869 net.cpp:194] conv4_2_D does not need backward computation.
I0720 16:45:37.144876 3869 net.cpp:194] relu4_3_D does not need backward computation.
I0720 16:45:37.144883 3869 net.cpp:194] conv4_3_D_bn does not need backward computation.
I0720 16:45:37.144892 3869 net.cpp:194] conv4_3_D does not need backward computation.
I0720 16:45:37.144901 3869 net.cpp:194] upsample4 does not need backward computation.
I0720 16:45:37.144910 3869 net.cpp:194] relu5_1_D does not need backward computation.
I0720 16:45:37.144919 3869 net.cpp:194] conv5_1_D_bn does not need backward computation.
I0720 16:45:37.144928 3869 net.cpp:194] conv5_1_D does not need backward computation.
I0720 16:45:37.144937 3869 net.cpp:194] relu5_2_D does not need backward computation.
I0720 16:45:37.144955 3869 net.cpp:194] conv5_2_D_bn does not need backward computation.
I0720 16:45:37.144965 3869 net.cpp:194] conv5_2_D does not need backward computation.
I0720 16:45:37.144974 3869 net.cpp:194] relu5_3_D does not need backward computation.
I0720 16:45:37.144982 3869 net.cpp:194] conv5_3_D_bn does not need backward computation.
I0720 16:45:37.144991 3869 net.cpp:194] conv5_3_D does not need backward computation.
I0720 16:45:37.145000 3869 net.cpp:194] upsample5 does not need backward computation.
I0720 16:45:37.145009 3869 net.cpp:194] pool5 does not need backward computation.
I0720 16:45:37.145018 3869 net.cpp:194] relu5_3 does not need backward computation.
I0720 16:45:37.145027 3869 net.cpp:194] conv5_3_bn does not need backward computation.
I0720 16:45:37.145036 3869 net.cpp:194] conv5_3 does not need backward computation.
I0720 16:45:37.145045 3869 net.cpp:194] relu5_2 does not need backward computation.
I0720 16:45:37.145054 3869 net.cpp:194] conv5_2_bn does not need backward computation.
I0720 16:45:37.145062 3869 net.cpp:194] conv5_2 does not need backward computation.
I0720 16:45:37.145071 3869 net.cpp:194] relu5_1 does not need backward computation.
I0720 16:45:37.145081 3869 net.cpp:194] conv5_1_bn does not need backward computation.
I0720 16:45:37.145089 3869 net.cpp:194] conv5_1 does not need backward computation.
I0720 16:45:37.145098 3869 net.cpp:194] pool4 does not need backward computation.
I0720 16:45:37.145107 3869 net.cpp:194] relu4_3 does not need backward computation.
I0720 16:45:37.145115 3869 net.cpp:194] conv4_3_bn does not need backward computation.
I0720 16:45:37.145124 3869 net.cpp:194] conv4_3 does not need backward computation.
I0720 16:45:37.145134 3869 net.cpp:194] relu4_2 does not need backward computation.
I0720 16:45:37.145143 3869 net.cpp:194] conv4_2_bn does not need backward computation.
I0720 16:45:37.145150 3869 net.cpp:194] conv4_2 does not need backward computation.
I0720 16:45:37.145160 3869 net.cpp:194] relu4_1 does not need backward computation.
I0720 16:45:37.145169 3869 net.cpp:194] conv4_1_bn does not need backward computation.
I0720 16:45:37.145177 3869 net.cpp:194] conv4_1 does not need backward computation.
I0720 16:45:37.145186 3869 net.cpp:194] pool3 does not need backward computation.
I0720 16:45:37.145195 3869 net.cpp:194] relu3_3 does not need backward computation.
I0720 16:45:37.145205 3869 net.cpp:194] conv3_3_bn does not need backward computation.
I0720 16:45:37.145213 3869 net.cpp:194] conv3_3 does not need backward computation.
I0720 16:45:37.145222 3869 net.cpp:194] relu3_2 does not need backward computation.
I0720 16:45:37.145231 3869 net.cpp:194] conv3_2_bn does not need backward computation.
I0720 16:45:37.145239 3869 net.cpp:194] conv3_2 does not need backward computation.
I0720 16:45:37.145248 3869 net.cpp:194] relu3_1 does not need backward computation.
I0720 16:45:37.145256 3869 net.cpp:194] conv3_1_bn does not need backward computation.
I0720 16:45:37.145265 3869 net.cpp:194] conv3_1 does not need backward computation.
I0720 16:45:37.145275 3869 net.cpp:194] pool2 does not need backward computation.
I0720 16:45:37.145284 3869 net.cpp:194] relu2_2 does not need backward computation.
I0720 16:45:37.145292 3869 net.cpp:194] conv2_2_bn does not need backward computation.
I0720 16:45:37.145301 3869 net.cpp:194] conv2_2 does not need backward computation.
I0720 16:45:37.145310 3869 net.cpp:194] relu2_1 does not need backward computation.
I0720 16:45:37.145319 3869 net.cpp:194] conv2_1_bn does not need backward computation.
I0720 16:45:37.145326 3869 net.cpp:194] conv2_1 does not need backward computation.
I0720 16:45:37.145336 3869 net.cpp:194] pool1 does not need backward computation.
I0720 16:45:37.145345 3869 net.cpp:194] relu1_2 does not need backward computation.
I0720 16:45:37.145354 3869 net.cpp:194] conv1_2_bn does not need backward computation.
I0720 16:45:37.145361 3869 net.cpp:194] conv1_2 does not need backward computation.
I0720 16:45:37.145373 3869 net.cpp:194] relu1_1 does not need backward computation.
I0720 16:45:37.145381 3869 net.cpp:194] conv1_1_bn does not need backward computation.
I0720 16:45:37.145390 3869 net.cpp:194] conv1_1 does not need backward computation.
I0720 16:45:37.145401 3869 net.cpp:235] This network produces output argmax
I0720 16:45:37.145448 3869 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0720 16:45:37.145468 3869 net.cpp:247] Network initialization done.
I0720 16:45:37.145475 3869 net.cpp:248] Memory required for data: 1065139200
Przemek D
Aug 22, 2018, 10:28:44 AM8/22/18
to Caffe Users
Please resend this message, but attach this log to the post instead of pasting it. It's very difficult to read it as it is.
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