junyanz
commented
5 years ago maybe you can print image_file. image_file should be a string. Also wondering which opencv version you are using.
Closed fahriy closed 5 years ago
junyanz
commented
5 years ago maybe you can print image_file. image_file should be a string. Also wondering which opencv version you are using.
fahriy
commented
5 years ago my brother ideepcolor was very curious about the program. But I haven't worked it for days. my operating system Ubuntu 18 If you ask me, can you make a video showing the installation. thanks
fahriy
commented
5 years ago opencv version Successfully installed opencv-python-3.4.3.18
fahriy
commented
5 years ago fago@fago-virtual-machine:~/ideecolor/interactive-deep-colorization-master$ python3 ideepcolor.py --cpu_mode
[win_size] = 512
[image_file] = test_imgs/mortar_pestle.jpg
[gpu] = 0
[cpu_mode] = True
[color_prototxt] = ./models/reference_model/deploy_nodist.prototxt
[color_caffemodel] = ./models/reference_model/model.caffemodel
[dist_prototxt] = ./models/reference_model/deploy_nopred.prototxt
[dist_caffemodel] = ./models/reference_model/model.caffemodel
[color_model] = ./models/pytorch/model.pth
[backend] = caffe
[load_size] = 256
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nodist.prototxt, model_path = ./models/reference_model/model.caffemodel
WARNING: Logging before InitGoogleLogging() is written to STDERR
W1017 23:08:14.858825 5918 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W1017 23:08:14.858896 5918 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W1017 23:08:14.858912 5918 _caffe.cpp:142] Net('./models/reference_model/deploy_nodist.prototxt', 1, weights='./models/reference_model/model.caffemodel')
I1017 23:08:14.860596 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/deploy_nodist.prototxt
I1017 23:08:14.860669 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:14.860877 5918 net.cpp:51] Initializing net from parameters:
state {
phase: TEST
level: 0
}
layer {
name: "data_l_ab_mask"
type: "Input"
top: "data_l_ab_mask"
input_param {
shape {
dim: 1
dim: 4
dim: 256
dim: 256
}
}
}
layer {
name: "Slice"
type: "Slice"
bottom: "data_l_ab_mask"
top: "data_l"
top: "data_ab_mask"
slice_param {
slice_point: 1
axis: 1
}
}
layer {
name: "ab_conv1_1"
type: "Convolution"
bottom: "data_ab_mask"
top: "ab_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "bw_conv1_1"
type: "Convolution"
bottom: "data_l"
top: "bw_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "conv1_1"
type: "Eltwise"
bottom: "bw_conv1_1"
bottom: "ab_conv1_1"
top: "conv1_1"
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "conv1_2norm"
type: "BatchNorm"
bottom: "conv1_2"
top: "conv1_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv1_2norm_ss"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
group: 64
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "conv1_2norm_ss"
top: "conv2_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_2norm"
type: "BatchNorm"
bottom: "conv2_2"
top: "conv2_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv2_2norm_ss"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
group: 128
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "conv2_2norm_ss"
top: "conv3_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_3norm"
type: "BatchNorm"
bottom: "conv3_3"
top: "conv3_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_3norm_ss"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
group: 256
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "conv3_3norm_ss"
top: "conv4_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_3norm"
type: "BatchNorm"
bottom: "conv4_3"
top: "conv4_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "conv4_3norm"
top: "conv5_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "conv5_3norm"
type: "BatchNorm"
bottom: "conv5_3"
top: "conv5_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv6_1"
type: "Convolution"
bottom: "conv5_3norm"
top: "conv6_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_1"
type: "ReLU"
bottom: "conv6_1"
top: "conv6_1"
}
layer {
name: "conv6_2"
type: "Convolution"
bottom: "conv6_1"
top: "conv6_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_2"
type: "ReLU"
bottom: "conv6_2"
top: "conv6_2"
}
layer {
name: "conv6_3"
type: "Convolution"
bottom: "conv6_2"
top: "conv6_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_3"
type: "ReLU"
bottom: "conv6_3"
top: "conv6_3"
}
layer {
name: "conv6_3norm"
type: "BatchNorm"
bottom: "conv6_3"
top: "conv6_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv7_1"
type: "Convolution"
bottom: "conv6_3norm"
top: "conv7_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_1"
type: "ReLU"
bottom: "conv7_1"
top: "conv7_1"
}
layer {
name: "conv7_2"
type: "Convolution"
bottom: "conv7_1"
top: "conv7_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_2"
type: "ReLU"
bottom: "conv7_2"
top: "conv7_2"
}
layer {
name: "conv7_3"
type: "Convolution"
bottom: "conv7_2"
top: "conv7_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_3"
type: "ReLU"
bottom: "conv7_3"
top: "conv7_3"
}
layer {
name: "conv7_3norm"
type: "BatchNorm"
bottom: "conv7_3"
top: "conv7_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv8_1"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv8_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 4
stride: 2
dilation: 1
}
}
layer {
name: "conv3_3_short"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3_short"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv8_1_comb"
type: "Eltwise"
bottom: "conv8_1"
bottom: "conv3_3_short"
top: "conv8_1_comb"
}
layer {
name: "conv8_1_comb"
type: "ReLU"
bottom: "conv8_1_comb"
top: "conv8_1_comb"
}
layer {
name: "conv8_2"
type: "Convolution"
bottom: "conv8_1_comb"
top: "conv8_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_2"
type: "ReLU"
bottom: "conv8_2"
top: "conv8_2"
}
layer {
name: "conv8_3"
type: "Convolution"
bottom: "conv8_2"
top: "conv8_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_3"
type: "ReLU"
bottom: "conv8_3"
top: "conv8_3"
}
layer {
name: "conv8_3norm"
type: "BatchNorm"
bottom: "conv8_3"
top: "conv8_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv9_1"
type: "Deconvolution"
bottom: "conv8_3norm"
top: "conv9_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv2_2_short"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2_short"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv9_1_comb"
type: "Eltwise"
bottom: "conv9_1"
bottom: "conv2_2_short"
top: "conv9_1_comb"
}
layer {
name: "relu9_1_comb"
type: "ReLU"
bottom: "conv9_1_comb"
top: "conv9_1_comb"
}
layer {
name: "conv9_2"
type: "Convolution"
bottom: "conv9_1_comb"
top: "conv9_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "relu9_2"
type: "ReLU"
bottom: "conv9_2"
top: "conv9_2"
}
layer {
name: "conv9_2norm"
type: "BatchNorm"
bottom: "conv9_2"
top: "conv9_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv10_1"
type: "Deconvolution"
bottom: "conv9_2norm"
top: "conv10_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv1_2_short"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2_short"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv10_1_comb"
type: "Eltwise"
bottom: "conv10_1"
bottom: "conv1_2_short"
top: "conv10_1_comb"
}
layer {
name: "relu10_1_comb"
type: "ReLU"
bottom: "conv10_1_comb"
top: "conv10_1_comb"
}
layer {
name: "conv10_2"
type: "Convolution"
bottom: "conv10_1_comb"
top: "conv10_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "relu10_2"
type: "ReLU"
bottom: "conv10_2"
top: "conv10_2"
relu_param {
negative_slope: 0.2
}
}
layer {
name: "conv10_ab"
type: "Convolution"
bottom: "conv10_2"
top: "conv10_ab"
convolution_param {
num_output: 2
kernel_size: 1
stride: 1
dilation: 1
}
}
layer {
name: "pred_ab_1"
type: "TanH"
bottom: "conv10_ab"
top: "pred_ab_1"
}
layer {
name: "pred_ab"
type: "Scale"
bottom: "pred_ab_1"
top: "pred_ab"
param {
lr_mult: 0
decay_mult: 0
}
scale_param {
filler {
type: "constant"
value: 100
}
bias_term: false
}
}
I1017 23:08:14.863397 5918 layer_factory.hpp:77] Creating layer data_l_ab_mask
I1017 23:08:14.863447 5918 net.cpp:84] Creating Layer data_l_ab_mask
I1017 23:08:14.863464 5918 net.cpp:380] data_l_ab_mask -> data_l_ab_mask
I1017 23:08:14.863500 5918 net.cpp:122] Setting up data_l_ab_mask
I1017 23:08:14.863538 5918 net.cpp:129] Top shape: 1 4 256 256 (262144)
I1017 23:08:14.863554 5918 net.cpp:137] Memory required for data: 1048576
I1017 23:08:14.863574 5918 layer_factory.hpp:77] Creating layer Slice
I1017 23:08:14.863602 5918 net.cpp:84] Creating Layer Slice
I1017 23:08:14.863615 5918 net.cpp:406] Slice <- data_l_ab_mask
I1017 23:08:14.863629 5918 net.cpp:380] Slice -> data_l
I1017 23:08:14.863657 5918 net.cpp:380] Slice -> data_ab_mask
I1017 23:08:14.863678 5918 net.cpp:122] Setting up Slice
I1017 23:08:14.863703 5918 net.cpp:129] Top shape: 1 1 256 256 (65536)
I1017 23:08:14.863719 5918 net.cpp:129] Top shape: 1 3 256 256 (196608)
I1017 23:08:14.863734 5918 net.cpp:137] Memory required for data: 2097152
I1017 23:08:14.863746 5918 layer_factory.hpp:77] Creating layer ab_conv1_1
I1017 23:08:14.863775 5918 net.cpp:84] Creating Layer ab_conv1_1
I1017 23:08:14.863812 5918 net.cpp:406] ab_conv1_1 <- data_ab_mask
I1017 23:08:14.863827 5918 net.cpp:380] ab_conv1_1 -> ab_conv1_1
I1017 23:08:14.864332 5918 net.cpp:122] Setting up ab_conv1_1
I1017 23:08:14.864375 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864390 5918 net.cpp:137] Memory required for data: 18874368
I1017 23:08:14.864416 5918 layer_factory.hpp:77] Creating layer bw_conv1_1
I1017 23:08:14.864450 5918 net.cpp:84] Creating Layer bw_conv1_1
I1017 23:08:14.864462 5918 net.cpp:406] bw_conv1_1 <- data_l
I1017 23:08:14.864478 5918 net.cpp:380] bw_conv1_1 -> bw_conv1_1
I1017 23:08:14.864687 5918 net.cpp:122] Setting up bw_conv1_1
I1017 23:08:14.864737 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864751 5918 net.cpp:137] Memory required for data: 35651584
I1017 23:08:14.864768 5918 layer_factory.hpp:77] Creating layer conv1_1
I1017 23:08:14.864786 5918 net.cpp:84] Creating Layer conv1_1
I1017 23:08:14.864799 5918 net.cpp:406] conv1_1 <- bw_conv1_1
I1017 23:08:14.864809 5918 net.cpp:406] conv1_1 <- ab_conv1_1
I1017 23:08:14.864823 5918 net.cpp:380] conv1_1 -> conv1_1
I1017 23:08:14.864872 5918 net.cpp:122] Setting up conv1_1
I1017 23:08:14.864912 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864926 5918 net.cpp:137] Memory required for data: 52428800
I1017 23:08:14.864936 5918 layer_factory.hpp:77] Creating layer relu1_1
I1017 23:08:14.864969 5918 net.cpp:84] Creating Layer relu1_1
I1017 23:08:14.864994 5918 net.cpp:406] relu1_1 <- conv1_1
I1017 23:08:14.865020 5918 net.cpp:367] relu1_1 -> conv1_1 (in-place)
I1017 23:08:14.865048 5918 net.cpp:122] Setting up relu1_1
I1017 23:08:14.865059 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865072 5918 net.cpp:137] Memory required for data: 69206016
I1017 23:08:14.865082 5918 layer_factory.hpp:77] Creating layer conv1_2
I1017 23:08:14.865099 5918 net.cpp:84] Creating Layer conv1_2
I1017 23:08:14.865111 5918 net.cpp:406] conv1_2 <- conv1_1
I1017 23:08:14.865128 5918 net.cpp:380] conv1_2 -> conv1_2
I1017 23:08:14.865512 5918 net.cpp:122] Setting up conv1_2
I1017 23:08:14.865547 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865567 5918 net.cpp:137] Memory required for data: 85983232
I1017 23:08:14.865587 5918 layer_factory.hpp:77] Creating layer relu1_2
I1017 23:08:14.865605 5918 net.cpp:84] Creating Layer relu1_2
I1017 23:08:14.865633 5918 net.cpp:406] relu1_2 <- conv1_2
I1017 23:08:14.865651 5918 net.cpp:367] relu1_2 -> conv1_2 (in-place)
I1017 23:08:14.865671 5918 net.cpp:122] Setting up relu1_2
I1017 23:08:14.865703 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865727 5918 net.cpp:137] Memory required for data: 102760448
I1017 23:08:14.865744 5918 layer_factory.hpp:77] Creating layer conv1_2norm
I1017 23:08:14.865772 5918 net.cpp:84] Creating Layer conv1_2norm
I1017 23:08:14.865818 5918 net.cpp:406] conv1_2norm <- conv1_2
I1017 23:08:14.865841 5918 net.cpp:380] conv1_2norm -> conv1_2norm
I1017 23:08:14.866073 5918 net.cpp:122] Setting up conv1_2norm
I1017 23:08:14.866152 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866166 5918 net.cpp:137] Memory required for data: 119537664
I1017 23:08:14.866185 5918 layer_factory.hpp:77] Creating layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866250 5918 net.cpp:84] Creating Layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866277 5918 net.cpp:406] conv1_2norm_conv1_2norm_0_split <- conv1_2norm
I1017 23:08:14.866297 5918 net.cpp:380] conv1_2norm_conv1_2norm_0_split -> conv1_2norm_conv1_2norm_0_split_0
I1017 23:08:14.866327 5918 net.cpp:380] conv1_2norm_conv1_2norm_0_split -> conv1_2norm_conv1_2norm_0_split_1
I1017 23:08:14.866367 5918 net.cpp:122] Setting up conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866392 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866420 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866436 5918 net.cpp:137] Memory required for data: 153092096
I1017 23:08:14.866444 5918 layer_factory.hpp:77] Creating layer conv1_2norm_ss
I1017 23:08:14.866463 5918 net.cpp:84] Creating Layer conv1_2norm_ss
I1017 23:08:14.866497 5918 net.cpp:406] conv1_2norm_ss <- conv1_2norm_conv1_2norm_0_split_0
I1017 23:08:14.866515 5918 net.cpp:380] conv1_2norm_ss -> conv1_2norm_ss
I1017 23:08:14.866560 5918 net.cpp:122] Setting up conv1_2norm_ss
I1017 23:08:14.866585 5918 net.cpp:129] Top shape: 1 64 128 128 (1048576)
I1017 23:08:14.866612 5918 net.cpp:137] Memory required for data: 157286400
I1017 23:08:14.866628 5918 layer_factory.hpp:77] Creating layer conv2_1
I1017 23:08:14.866648 5918 net.cpp:84] Creating Layer conv2_1
I1017 23:08:14.866672 5918 net.cpp:406] conv2_1 <- conv1_2norm_ss
I1017 23:08:14.866701 5918 net.cpp:380] conv2_1 -> conv2_1
I1017 23:08:14.866986 5918 net.cpp:122] Setting up conv2_1
I1017 23:08:14.867056 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867071 5918 net.cpp:137] Memory required for data: 165675008
I1017 23:08:14.867086 5918 layer_factory.hpp:77] Creating layer relu2_1
I1017 23:08:14.867120 5918 net.cpp:84] Creating Layer relu2_1
I1017 23:08:14.867135 5918 net.cpp:406] relu2_1 <- conv2_1
I1017 23:08:14.867146 5918 net.cpp:367] relu2_1 -> conv2_1 (in-place)
I1017 23:08:14.867177 5918 net.cpp:122] Setting up relu2_1
I1017 23:08:14.867189 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867219 5918 net.cpp:137] Memory required for data: 174063616
I1017 23:08:14.867230 5918 layer_factory.hpp:77] Creating layer conv2_2
I1017 23:08:14.867246 5918 net.cpp:84] Creating Layer conv2_2
I1017 23:08:14.867259 5918 net.cpp:406] conv2_2 <- conv2_1
I1017 23:08:14.867277 5918 net.cpp:380] conv2_2 -> conv2_2
I1017 23:08:14.867863 5918 net.cpp:122] Setting up conv2_2
I1017 23:08:14.867908 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867923 5918 net.cpp:137] Memory required for data: 182452224
I1017 23:08:14.867938 5918 layer_factory.hpp:77] Creating layer relu2_2
I1017 23:08:14.867949 5918 net.cpp:84] Creating Layer relu2_2
I1017 23:08:14.867974 5918 net.cpp:406] relu2_2 <- conv2_2
I1017 23:08:14.867988 5918 net.cpp:367] relu2_2 -> conv2_2 (in-place)
I1017 23:08:14.868027 5918 net.cpp:122] Setting up relu2_2
I1017 23:08:14.868046 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868067 5918 net.cpp:137] Memory required for data: 190840832
I1017 23:08:14.868095 5918 layer_factory.hpp:77] Creating layer conv2_2norm
I1017 23:08:14.868114 5918 net.cpp:84] Creating Layer conv2_2norm
I1017 23:08:14.868165 5918 net.cpp:406] conv2_2norm <- conv2_2
I1017 23:08:14.868204 5918 net.cpp:380] conv2_2norm -> conv2_2norm
I1017 23:08:14.868314 5918 net.cpp:122] Setting up conv2_2norm
I1017 23:08:14.868355 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868371 5918 net.cpp:137] Memory required for data: 199229440
I1017 23:08:14.868412 5918 layer_factory.hpp:77] Creating layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868448 5918 net.cpp:84] Creating Layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868460 5918 net.cpp:406] conv2_2norm_conv2_2norm_0_split <- conv2_2norm
I1017 23:08:14.868476 5918 net.cpp:380] conv2_2norm_conv2_2norm_0_split -> conv2_2norm_conv2_2norm_0_split_0
I1017 23:08:14.868492 5918 net.cpp:380] conv2_2norm_conv2_2norm_0_split -> conv2_2norm_conv2_2norm_0_split_1
I1017 23:08:14.868532 5918 net.cpp:122] Setting up conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868543 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868559 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868574 5918 net.cpp:137] Memory required for data: 216006656
I1017 23:08:14.868602 5918 layer_factory.hpp:77] Creating layer conv2_2norm_ss
I1017 23:08:14.868626 5918 net.cpp:84] Creating Layer conv2_2norm_ss
I1017 23:08:14.868654 5918 net.cpp:406] conv2_2norm_ss <- conv2_2norm_conv2_2norm_0_split_0
I1017 23:08:14.868670 5918 net.cpp:380] conv2_2norm_ss -> conv2_2norm_ss
I1017 23:08:14.868721 5918 net.cpp:122] Setting up conv2_2norm_ss
I1017 23:08:14.868753 5918 net.cpp:129] Top shape: 1 128 64 64 (524288)
I1017 23:08:14.868770 5918 net.cpp:137] Memory required for data: 218103808
I1017 23:08:14.868783 5918 layer_factory.hpp:77] Creating layer conv3_1
I1017 23:08:14.868818 5918 net.cpp:84] Creating Layer conv3_1
I1017 23:08:14.868846 5918 net.cpp:406] conv3_1 <- conv2_2norm_ss
I1017 23:08:14.868861 5918 net.cpp:380] conv3_1 -> conv3_1
I1017 23:08:14.869738 5918 net.cpp:122] Setting up conv3_1
I1017 23:08:14.869832 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.869848 5918 net.cpp:137] Memory required for data: 222298112
I1017 23:08:14.869863 5918 layer_factory.hpp:77] Creating layer relu3_1
I1017 23:08:14.869884 5918 net.cpp:84] Creating Layer relu3_1
I1017 23:08:14.869909 5918 net.cpp:406] relu3_1 <- conv3_1
I1017 23:08:14.869935 5918 net.cpp:367] relu3_1 -> conv3_1 (in-place)
I1017 23:08:14.869963 5918 net.cpp:122] Setting up relu3_1
I1017 23:08:14.869987 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.870004 5918 net.cpp:137] Memory required for data: 226492416
I1017 23:08:14.870014 5918 layer_factory.hpp:77] Creating layer conv3_2
I1017 23:08:14.870043 5918 net.cpp:84] Creating Layer conv3_2
I1017 23:08:14.870057 5918 net.cpp:406] conv3_2 <- conv3_1
I1017 23:08:14.870084 5918 net.cpp:380] conv3_2 -> conv3_2
I1017 23:08:14.871803 5918 net.cpp:122] Setting up conv3_2
I1017 23:08:14.871842 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.871857 5918 net.cpp:137] Memory required for data: 230686720
I1017 23:08:14.871873 5918 layer_factory.hpp:77] Creating layer relu3_2
I1017 23:08:14.871893 5918 net.cpp:84] Creating Layer relu3_2
I1017 23:08:14.871917 5918 net.cpp:406] relu3_2 <- conv3_2
I1017 23:08:14.871934 5918 net.cpp:367] relu3_2 -> conv3_2 (in-place)
I1017 23:08:14.871960 5918 net.cpp:122] Setting up relu3_2
I1017 23:08:14.871989 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.872017 5918 net.cpp:137] Memory required for data: 234881024
I1017 23:08:14.872033 5918 layer_factory.hpp:77] Creating layer conv3_3
I1017 23:08:14.872053 5918 net.cpp:84] Creating Layer conv3_3
I1017 23:08:14.872089 5918 net.cpp:406] conv3_3 <- conv3_2
I1017 23:08:14.872105 5918 net.cpp:380] conv3_3 -> conv3_3
I1017 23:08:14.874007 5918 net.cpp:122] Setting up conv3_3
I1017 23:08:14.874053 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874068 5918 net.cpp:137] Memory required for data: 239075328
I1017 23:08:14.874085 5918 layer_factory.hpp:77] Creating layer relu3_3
I1017 23:08:14.874115 5918 net.cpp:84] Creating Layer relu3_3
I1017 23:08:14.874140 5918 net.cpp:406] relu3_3 <- conv3_3
I1017 23:08:14.874155 5918 net.cpp:367] relu3_3 -> conv3_3 (in-place)
I1017 23:08:14.874181 5918 net.cpp:122] Setting up relu3_3
I1017 23:08:14.874192 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874218 5918 net.cpp:137] Memory required for data: 243269632
I1017 23:08:14.874229 5918 layer_factory.hpp:77] Creating layer conv3_3norm
I1017 23:08:14.874246 5918 net.cpp:84] Creating Layer conv3_3norm
I1017 23:08:14.874258 5918 net.cpp:406] conv3_3norm <- conv3_3
I1017 23:08:14.874272 5918 net.cpp:380] conv3_3norm -> conv3_3norm
I1017 23:08:14.874316 5918 net.cpp:122] Setting up conv3_3norm
I1017 23:08:14.874341 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874356 5918 net.cpp:137] Memory required for data: 247463936
I1017 23:08:14.874372 5918 layer_factory.hpp:77] Creating layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874402 5918 net.cpp:84] Creating Layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874415 5918 net.cpp:406] conv3_3norm_conv3_3norm_0_split <- conv3_3norm
I1017 23:08:14.874431 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:14.874447 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:14.874477 5918 net.cpp:122] Setting up conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874490 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874516 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874532 5918 net.cpp:137] Memory required for data: 255852544
I1017 23:08:14.874544 5918 layer_factory.hpp:77] Creating layer conv3_3norm_ss
I1017 23:08:14.874563 5918 net.cpp:84] Creating Layer conv3_3norm_ss
I1017 23:08:14.874588 5918 net.cpp:406] conv3_3norm_ss <- conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:14.874604 5918 net.cpp:380] conv3_3norm_ss -> conv3_3norm_ss
I1017 23:08:14.874647 5918 net.cpp:122] Setting up conv3_3norm_ss
I1017 23:08:14.874671 5918 net.cpp:129] Top shape: 1 256 32 32 (262144)
I1017 23:08:14.874686 5918 net.cpp:137] Memory required for data: 256901120
I1017 23:08:14.874699 5918 layer_factory.hpp:77] Creating layer conv4_1
I1017 23:08:14.874716 5918 net.cpp:84] Creating Layer conv4_1
I1017 23:08:14.874728 5918 net.cpp:406] conv4_1 <- conv3_3norm_ss
I1017 23:08:14.874747 5918 net.cpp:380] conv4_1 -> conv4_1
I1017 23:08:14.878168 5918 net.cpp:122] Setting up conv4_1
I1017 23:08:14.878211 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.878228 5918 net.cpp:137] Memory required for data: 258998272
I1017 23:08:14.878244 5918 layer_factory.hpp:77] Creating layer relu4_1
I1017 23:08:14.878263 5918 net.cpp:84] Creating Layer relu4_1
I1017 23:08:14.878276 5918 net.cpp:406] relu4_1 <- conv4_1
I1017 23:08:14.878293 5918 net.cpp:367] relu4_1 -> conv4_1 (in-place)
I1017 23:08:14.878307 5918 net.cpp:122] Setting up relu4_1
I1017 23:08:14.878329 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.878345 5918 net.cpp:137] Memory required for data: 261095424
I1017 23:08:14.878357 5918 layer_factory.hpp:77] Creating layer conv4_2
I1017 23:08:14.878376 5918 net.cpp:84] Creating Layer conv4_2
I1017 23:08:14.878414 5918 net.cpp:406] conv4_2 <- conv4_1
I1017 23:08:14.878430 5918 net.cpp:380] conv4_2 -> conv4_2
I1017 23:08:14.886188 5918 net.cpp:122] Setting up conv4_2
I1017 23:08:14.886258 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.886276 5918 net.cpp:137] Memory required for data: 263192576
I1017 23:08:14.886301 5918 layer_factory.hpp:77] Creating layer relu4_2
I1017 23:08:14.886340 5918 net.cpp:84] Creating Layer relu4_2
I1017 23:08:14.886356 5918 net.cpp:406] relu4_2 <- conv4_2
I1017 23:08:14.886371 5918 net.cpp:367] relu4_2 -> conv4_2 (in-place)
I1017 23:08:14.886400 5918 net.cpp:122] Setting up relu4_2
I1017 23:08:14.886412 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.886438 5918 net.cpp:137] Memory required for data: 265289728
I1017 23:08:14.886449 5918 layer_factory.hpp:77] Creating layer conv4_3
I1017 23:08:14.886468 5918 net.cpp:84] Creating Layer conv4_3
I1017 23:08:14.886481 5918 net.cpp:406] conv4_3 <- conv4_2
I1017 23:08:14.886493 5918 net.cpp:380] conv4_3 -> conv4_3
I1017 23:08:14.894157 5918 net.cpp:122] Setting up conv4_3
I1017 23:08:14.894219 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894243 5918 net.cpp:137] Memory required for data: 267386880
I1017 23:08:14.894284 5918 layer_factory.hpp:77] Creating layer relu4_3
I1017 23:08:14.894335 5918 net.cpp:84] Creating Layer relu4_3
I1017 23:08:14.894374 5918 net.cpp:406] relu4_3 <- conv4_3
I1017 23:08:14.894399 5918 net.cpp:367] relu4_3 -> conv4_3 (in-place)
I1017 23:08:14.894424 5918 net.cpp:122] Setting up relu4_3
I1017 23:08:14.894438 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894461 5918 net.cpp:137] Memory required for data: 269484032
I1017 23:08:14.894475 5918 layer_factory.hpp:77] Creating layer conv4_3norm
I1017 23:08:14.894501 5918 net.cpp:84] Creating Layer conv4_3norm
I1017 23:08:14.894536 5918 net.cpp:406] conv4_3norm <- conv4_3
I1017 23:08:14.894557 5918 net.cpp:380] conv4_3norm -> conv4_3norm
I1017 23:08:14.894835 5918 net.cpp:122] Setting up conv4_3norm
I1017 23:08:14.894870 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894892 5918 net.cpp:137] Memory required for data: 271581184
I1017 23:08:14.894934 5918 layer_factory.hpp:77] Creating layer conv5_1
I1017 23:08:14.894987 5918 net.cpp:84] Creating Layer conv5_1
I1017 23:08:14.895007 5918 net.cpp:406] conv5_1 <- conv4_3norm
I1017 23:08:14.895027 5918 net.cpp:380] conv5_1 -> conv5_1
I1017 23:08:14.901981 5918 net.cpp:122] Setting up conv5_1
I1017 23:08:14.902055 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.902071 5918 net.cpp:137] Memory required for data: 273678336
I1017 23:08:14.902089 5918 layer_factory.hpp:77] Creating layer relu5_1
I1017 23:08:14.902107 5918 net.cpp:84] Creating Layer relu5_1
I1017 23:08:14.902134 5918 net.cpp:406] relu5_1 <- conv5_1
I1017 23:08:14.902158 5918 net.cpp:367] relu5_1 -> conv5_1 (in-place)
I1017 23:08:14.902174 5918 net.cpp:122] Setting up relu5_1
I1017 23:08:14.902186 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.902199 5918 net.cpp:137] Memory required for data: 275775488
I1017 23:08:14.902211 5918 layer_factory.hpp:77] Creating layer conv5_2
I1017 23:08:14.902226 5918 net.cpp:84] Creating Layer conv5_2
I1017 23:08:14.902238 5918 net.cpp:406] conv5_2 <- conv5_1
I1017 23:08:14.902256 5918 net.cpp:380] conv5_2 -> conv5_2
I1017 23:08:14.909216 5918 net.cpp:122] Setting up conv5_2
I1017 23:08:14.909272 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.909291 5918 net.cpp:137] Memory required for data: 277872640
I1017 23:08:14.909309 5918 layer_factory.hpp:77] Creating layer relu5_2
I1017 23:08:14.909355 5918 net.cpp:84] Creating Layer relu5_2
I1017 23:08:14.909412 5918 net.cpp:406] relu5_2 <- conv5_2
I1017 23:08:14.909431 5918 net.cpp:367] relu5_2 -> conv5_2 (in-place)
I1017 23:08:14.909483 5918 net.cpp:122] Setting up relu5_2
I1017 23:08:14.909502 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.909530 5918 net.cpp:137] Memory required for data: 279969792
I1017 23:08:14.909543 5918 layer_factory.hpp:77] Creating layer conv5_3
I1017 23:08:14.909564 5918 net.cpp:84] Creating Layer conv5_3
I1017 23:08:14.909586 5918 net.cpp:406] conv5_3 <- conv5_2
I1017 23:08:14.909602 5918 net.cpp:380] conv5_3 -> conv5_3
I1017 23:08:14.917004 5918 net.cpp:122] Setting up conv5_3
I1017 23:08:14.917053 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917083 5918 net.cpp:137] Memory required for data: 282066944
I1017 23:08:14.917119 5918 layer_factory.hpp:77] Creating layer relu5_3
I1017 23:08:14.917150 5918 net.cpp:84] Creating Layer relu5_3
I1017 23:08:14.917177 5918 net.cpp:406] relu5_3 <- conv5_3
I1017 23:08:14.917206 5918 net.cpp:367] relu5_3 -> conv5_3 (in-place)
I1017 23:08:14.917238 5918 net.cpp:122] Setting up relu5_3
I1017 23:08:14.917263 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917289 5918 net.cpp:137] Memory required for data: 284164096
I1017 23:08:14.917313 5918 layer_factory.hpp:77] Creating layer conv5_3norm
I1017 23:08:14.917342 5918 net.cpp:84] Creating Layer conv5_3norm
I1017 23:08:14.917366 5918 net.cpp:406] conv5_3norm <- conv5_3
I1017 23:08:14.917394 5918 net.cpp:380] conv5_3norm -> conv5_3norm
I1017 23:08:14.917444 5918 net.cpp:122] Setting up conv5_3norm
I1017 23:08:14.917469 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917495 5918 net.cpp:137] Memory required for data: 286261248
I1017 23:08:14.917528 5918 layer_factory.hpp:77] Creating layer conv6_1
I1017 23:08:14.917559 5918 net.cpp:84] Creating Layer conv6_1
I1017 23:08:14.917583 5918 net.cpp:406] conv6_1 <- conv5_3norm
I1017 23:08:14.917614 5918 net.cpp:380] conv6_1 -> conv6_1
I1017 23:08:14.925098 5918 net.cpp:122] Setting up conv6_1
I1017 23:08:14.925155 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.925179 5918 net.cpp:137] Memory required for data: 288358400
I1017 23:08:14.925206 5918 layer_factory.hpp:77] Creating layer relu6_1
I1017 23:08:14.925232 5918 net.cpp:84] Creating Layer relu6_1
I1017 23:08:14.925251 5918 net.cpp:406] relu6_1 <- conv6_1
I1017 23:08:14.925273 5918 net.cpp:367] relu6_1 -> conv6_1 (in-place)
I1017 23:08:14.925295 5918 net.cpp:122] Setting up relu6_1
I1017 23:08:14.925328 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.925349 5918 net.cpp:137] Memory required for data: 290455552
I1017 23:08:14.925367 5918 layer_factory.hpp:77] Creating layer conv6_2
I1017 23:08:14.925388 5918 net.cpp:84] Creating Layer conv6_2
I1017 23:08:14.925422 5918 net.cpp:406] conv6_2 <- conv6_1
I1017 23:08:14.925443 5918 net.cpp:380] conv6_2 -> conv6_2
I1017 23:08:14.932564 5918 net.cpp:122] Setting up conv6_2
I1017 23:08:14.932623 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.932641 5918 net.cpp:137] Memory required for data: 292552704
I1017 23:08:14.932658 5918 layer_factory.hpp:77] Creating layer relu6_2
I1017 23:08:14.932688 5918 net.cpp:84] Creating Layer relu6_2
I1017 23:08:14.932723 5918 net.cpp:406] relu6_2 <- conv6_2
I1017 23:08:14.932741 5918 net.cpp:367] relu6_2 -> conv6_2 (in-place)
I1017 23:08:14.932760 5918 net.cpp:122] Setting up relu6_2
I1017 23:08:14.932783 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.932812 5918 net.cpp:137] Memory required for data: 294649856
I1017 23:08:14.932837 5918 layer_factory.hpp:77] Creating layer conv6_3
I1017 23:08:14.932871 5918 net.cpp:84] Creating Layer conv6_3
I1017 23:08:14.932911 5918 net.cpp:406] conv6_3 <- conv6_2
I1017 23:08:14.932927 5918 net.cpp:380] conv6_3 -> conv6_3
I1017 23:08:14.940912 5918 net.cpp:122] Setting up conv6_3
I1017 23:08:14.940968 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.940985 5918 net.cpp:137] Memory required for data: 296747008
I1017 23:08:14.941004 5918 layer_factory.hpp:77] Creating layer relu6_3
I1017 23:08:14.941025 5918 net.cpp:84] Creating Layer relu6_3
I1017 23:08:14.941038 5918 net.cpp:406] relu6_3 <- conv6_3
I1017 23:08:14.941053 5918 net.cpp:367] relu6_3 -> conv6_3 (in-place)
I1017 23:08:14.941083 5918 net.cpp:122] Setting up relu6_3
I1017 23:08:14.941094 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.941110 5918 net.cpp:137] Memory required for data: 298844160
I1017 23:08:14.941120 5918 layer_factory.hpp:77] Creating layer conv6_3norm
I1017 23:08:14.941150 5918 net.cpp:84] Creating Layer conv6_3norm
I1017 23:08:14.941162 5918 net.cpp:406] conv6_3norm <- conv6_3
I1017 23:08:14.941177 5918 net.cpp:380] conv6_3norm -> conv6_3norm
I1017 23:08:14.941215 5918 net.cpp:122] Setting up conv6_3norm
I1017 23:08:14.941242 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.941263 5918 net.cpp:137] Memory required for data: 300941312
I1017 23:08:14.941316 5918 layer_factory.hpp:77] Creating layer conv7_1
I1017 23:08:14.941359 5918 net.cpp:84] Creating Layer conv7_1
I1017 23:08:14.941380 5918 net.cpp:406] conv7_1 <- conv6_3norm
I1017 23:08:14.941427 5918 net.cpp:380] conv7_1 -> conv7_1
I1017 23:08:14.949010 5918 net.cpp:122] Setting up conv7_1
I1017 23:08:14.949074 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.949092 5918 net.cpp:137] Memory required for data: 303038464
I1017 23:08:14.949110 5918 layer_factory.hpp:77] Creating layer relu7_1
I1017 23:08:14.949131 5918 net.cpp:84] Creating Layer relu7_1
I1017 23:08:14.949143 5918 net.cpp:406] relu7_1 <- conv7_1
I1017 23:08:14.949158 5918 net.cpp:367] relu7_1 -> conv7_1 (in-place)
I1017 23:08:14.949174 5918 net.cpp:122] Setting up relu7_1
I1017 23:08:14.949185 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.949199 5918 net.cpp:137] Memory required for data: 305135616
I1017 23:08:14.949223 5918 layer_factory.hpp:77] Creating layer conv7_2
I1017 23:08:14.949245 5918 net.cpp:84] Creating Layer conv7_2
I1017 23:08:14.949259 5918 net.cpp:406] conv7_2 <- conv7_1
I1017 23:08:14.949272 5918 net.cpp:380] conv7_2 -> conv7_2
I1017 23:08:14.957059 5918 net.cpp:122] Setting up conv7_2
I1017 23:08:14.957120 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.957157 5918 net.cpp:137] Memory required for data: 307232768
I1017 23:08:14.957196 5918 layer_factory.hpp:77] Creating layer relu7_2
I1017 23:08:14.957235 5918 net.cpp:84] Creating Layer relu7_2
I1017 23:08:14.957267 5918 net.cpp:406] relu7_2 <- conv7_2
I1017 23:08:14.957300 5918 net.cpp:367] relu7_2 -> conv7_2 (in-place)
I1017 23:08:14.957334 5918 net.cpp:122] Setting up relu7_2
I1017 23:08:14.957362 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.957396 5918 net.cpp:137] Memory required for data: 309329920
I1017 23:08:14.957423 5918 layer_factory.hpp:77] Creating layer conv7_3
I1017 23:08:14.957589 5918 net.cpp:84] Creating Layer conv7_3
I1017 23:08:14.957620 5918 net.cpp:406] conv7_3 <- conv7_2
I1017 23:08:14.957659 5918 net.cpp:380] conv7_3 -> conv7_3
I1017 23:08:14.964710 5918 net.cpp:122] Setting up conv7_3
I1017 23:08:14.964781 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.964804 5918 net.cpp:137] Memory required for data: 311427072
I1017 23:08:14.964844 5918 layer_factory.hpp:77] Creating layer relu7_3
I1017 23:08:14.964900 5918 net.cpp:84] Creating Layer relu7_3
I1017 23:08:14.964936 5918 net.cpp:406] relu7_3 <- conv7_3
I1017 23:08:14.964980 5918 net.cpp:367] relu7_3 -> conv7_3 (in-place)
I1017 23:08:14.965011 5918 net.cpp:122] Setting up relu7_3
I1017 23:08:14.965029 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.965049 5918 net.cpp:137] Memory required for data: 313524224
I1017 23:08:14.965066 5918 layer_factory.hpp:77] Creating layer conv7_3norm
I1017 23:08:14.965087 5918 net.cpp:84] Creating Layer conv7_3norm
I1017 23:08:14.965121 5918 net.cpp:406] conv7_3norm <- conv7_3
I1017 23:08:14.965142 5918 net.cpp:380] conv7_3norm -> conv7_3norm
I1017 23:08:14.965196 5918 net.cpp:122] Setting up conv7_3norm
I1017 23:08:14.965225 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.965247 5918 net.cpp:137] Memory required for data: 315621376
I1017 23:08:14.965276 5918 layer_factory.hpp:77] Creating layer conv8_1
I1017 23:08:14.965323 5918 net.cpp:84] Creating Layer conv8_1
I1017 23:08:14.965355 5918 net.cpp:406] conv8_1 <- conv7_3norm
I1017 23:08:14.965394 5918 net.cpp:380] conv8_1 -> conv8_1
I1017 23:08:14.972735 5918 net.cpp:122] Setting up conv8_1
I1017 23:08:14.972785 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.972810 5918 net.cpp:137] Memory required for data: 319815680
I1017 23:08:14.972856 5918 layer_factory.hpp:77] Creating layer conv3_3_short
I1017 23:08:14.972890 5918 net.cpp:84] Creating Layer conv3_3_short
I1017 23:08:14.972903 5918 net.cpp:406] conv3_3_short <- conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:14.972923 5918 net.cpp:380] conv3_3_short -> conv3_3_short
I1017 23:08:14.983263 5918 net.cpp:122] Setting up conv3_3_short
I1017 23:08:14.983373 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983404 5918 net.cpp:137] Memory required for data: 324009984
I1017 23:08:14.983438 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:14.983492 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:14.983531 5918 net.cpp:406] conv8_1_comb <- conv8_1
I1017 23:08:14.983556 5918 net.cpp:406] conv8_1_comb <- conv3_3_short
I1017 23:08:14.983602 5918 net.cpp:380] conv8_1_comb -> conv8_1_comb
I1017 23:08:14.983649 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:14.983681 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983716 5918 net.cpp:137] Memory required for data: 328204288
I1017 23:08:14.983752 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:14.983783 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:14.983816 5918 net.cpp:406] conv8_1_comb <- conv8_1_comb
I1017 23:08:14.983855 5918 net.cpp:367] conv8_1_comb -> conv8_1_comb (in-place)
I1017 23:08:14.983891 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:14.983911 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983924 5918 net.cpp:137] Memory required for data: 332398592
I1017 23:08:14.983934 5918 layer_factory.hpp:77] Creating layer conv8_2
I1017 23:08:14.983952 5918 net.cpp:84] Creating Layer conv8_2
I1017 23:08:14.983975 5918 net.cpp:406] conv8_2 <- conv8_1_comb
I1017 23:08:14.983990 5918 net.cpp:380] conv8_2 -> conv8_2
I1017 23:08:14.986050 5918 net.cpp:122] Setting up conv8_2
I1017 23:08:14.986090 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.986106 5918 net.cpp:137] Memory required for data: 336592896
I1017 23:08:14.986124 5918 layer_factory.hpp:77] Creating layer relu8_2
I1017 23:08:14.986138 5918 net.cpp:84] Creating Layer relu8_2
I1017 23:08:14.986150 5918 net.cpp:406] relu8_2 <- conv8_2
I1017 23:08:14.986162 5918 net.cpp:367] relu8_2 -> conv8_2 (in-place)
I1017 23:08:14.986176 5918 net.cpp:122] Setting up relu8_2
I1017 23:08:14.986186 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.986198 5918 net.cpp:137] Memory required for data: 340787200
I1017 23:08:14.986207 5918 layer_factory.hpp:77] Creating layer conv8_3
I1017 23:08:14.986222 5918 net.cpp:84] Creating Layer conv8_3
I1017 23:08:14.986232 5918 net.cpp:406] conv8_3 <- conv8_2
I1017 23:08:14.986244 5918 net.cpp:380] conv8_3 -> conv8_3
I1017 23:08:14.988282 5918 net.cpp:122] Setting up conv8_3
I1017 23:08:14.988329 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988378 5918 net.cpp:137] Memory required for data: 344981504
I1017 23:08:14.988418 5918 layer_factory.hpp:77] Creating layer relu8_3
I1017 23:08:14.988457 5918 net.cpp:84] Creating Layer relu8_3
I1017 23:08:14.988489 5918 net.cpp:406] relu8_3 <- conv8_3
I1017 23:08:14.988523 5918 net.cpp:367] relu8_3 -> conv8_3 (in-place)
I1017 23:08:14.988559 5918 net.cpp:122] Setting up relu8_3
I1017 23:08:14.988593 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988627 5918 net.cpp:137] Memory required for data: 349175808
I1017 23:08:14.988657 5918 layer_factory.hpp:77] Creating layer conv8_3norm
I1017 23:08:14.988692 5918 net.cpp:84] Creating Layer conv8_3norm
I1017 23:08:14.988723 5918 net.cpp:406] conv8_3norm <- conv8_3
I1017 23:08:14.988757 5918 net.cpp:380] conv8_3norm -> conv8_3norm
I1017 23:08:14.988834 5918 net.cpp:122] Setting up conv8_3norm
I1017 23:08:14.988868 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988909 5918 net.cpp:137] Memory required for data: 353370112
I1017 23:08:14.988957 5918 layer_factory.hpp:77] Creating layer conv9_1
I1017 23:08:14.989015 5918 net.cpp:84] Creating Layer conv9_1
I1017 23:08:14.989048 5918 net.cpp:406] conv9_1 <- conv8_3norm
I1017 23:08:14.989084 5918 net.cpp:380] conv9_1 -> conv9_1
I1017 23:08:14.999006 5918 net.cpp:122] Setting up conv9_1
I1017 23:08:14.999060 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.999119 5918 net.cpp:137] Memory required for data: 361758720
I1017 23:08:14.999164 5918 layer_factory.hpp:77] Creating layer conv2_2_short
I1017 23:08:14.999218 5918 net.cpp:84] Creating Layer conv2_2_short
I1017 23:08:14.999241 5918 net.cpp:406] conv2_2_short <- conv2_2norm_conv2_2norm_0_split_1
I1017 23:08:14.999279 5918 net.cpp:380] conv2_2_short -> conv2_2_short
I1017 23:08:15.001752 5918 net.cpp:122] Setting up conv2_2_short
I1017 23:08:15.001812 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.001829 5918 net.cpp:137] Memory required for data: 370147328
I1017 23:08:15.001847 5918 layer_factory.hpp:77] Creating layer conv9_1_comb
I1017 23:08:15.001890 5918 net.cpp:84] Creating Layer conv9_1_comb
I1017 23:08:15.001919 5918 net.cpp:406] conv9_1_comb <- conv9_1
I1017 23:08:15.001951 5918 net.cpp:406] conv9_1_comb <- conv2_2_short
I1017 23:08:15.001974 5918 net.cpp:380] conv9_1_comb -> conv9_1_comb
I1017 23:08:15.002013 5918 net.cpp:122] Setting up conv9_1_comb
I1017 23:08:15.002024 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.002038 5918 net.cpp:137] Memory required for data: 378535936
I1017 23:08:15.002065 5918 layer_factory.hpp:77] Creating layer relu9_1_comb
I1017 23:08:15.002092 5918 net.cpp:84] Creating Layer relu9_1_comb
I1017 23:08:15.002127 5918 net.cpp:406] relu9_1_comb <- conv9_1_comb
I1017 23:08:15.002167 5918 net.cpp:367] relu9_1_comb -> conv9_1_comb (in-place)
I1017 23:08:15.002208 5918 net.cpp:122] Setting up relu9_1_comb
I1017 23:08:15.002228 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.002249 5918 net.cpp:137] Memory required for data: 386924544
I1017 23:08:15.002280 5918 layer_factory.hpp:77] Creating layer conv9_2
I1017 23:08:15.002321 5918 net.cpp:84] Creating Layer conv9_2
I1017 23:08:15.002355 5918 net.cpp:406] conv9_2 <- conv9_1_comb
I1017 23:08:15.002379 5918 net.cpp:380] conv9_2 -> conv9_2
I1017 23:08:15.005256 5918 net.cpp:122] Setting up conv9_2
I1017 23:08:15.005290 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005306 5918 net.cpp:137] Memory required for data: 395313152
I1017 23:08:15.005321 5918 layer_factory.hpp:77] Creating layer relu9_2
I1017 23:08:15.005359 5918 net.cpp:84] Creating Layer relu9_2
I1017 23:08:15.005393 5918 net.cpp:406] relu9_2 <- conv9_2
I1017 23:08:15.005421 5918 net.cpp:367] relu9_2 -> conv9_2 (in-place)
I1017 23:08:15.005439 5918 net.cpp:122] Setting up relu9_2
I1017 23:08:15.005467 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005488 5918 net.cpp:137] Memory required for data: 403701760
I1017 23:08:15.005512 5918 layer_factory.hpp:77] Creating layer conv9_2norm
I1017 23:08:15.005533 5918 net.cpp:84] Creating Layer conv9_2norm
I1017 23:08:15.005555 5918 net.cpp:406] conv9_2norm <- conv9_2
I1017 23:08:15.005578 5918 net.cpp:380] conv9_2norm -> conv9_2norm
I1017 23:08:15.005681 5918 net.cpp:122] Setting up conv9_2norm
I1017 23:08:15.005712 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005728 5918 net.cpp:137] Memory required for data: 412090368
I1017 23:08:15.005746 5918 layer_factory.hpp:77] Creating layer conv10_1
I1017 23:08:15.005789 5918 net.cpp:84] Creating Layer conv10_1
I1017 23:08:15.005844 5918 net.cpp:406] conv10_1 <- conv9_2norm
I1017 23:08:15.005861 5918 net.cpp:380] conv10_1 -> conv10_1
I1017 23:08:15.010627 5918 net.cpp:122] Setting up conv10_1
I1017 23:08:15.010666 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.010684 5918 net.cpp:137] Memory required for data: 445644800
I1017 23:08:15.010699 5918 layer_factory.hpp:77] Creating layer conv1_2_short
I1017 23:08:15.010738 5918 net.cpp:84] Creating Layer conv1_2_short
I1017 23:08:15.010788 5918 net.cpp:406] conv1_2_short <- conv1_2norm_conv1_2norm_0_split_1
I1017 23:08:15.010835 5918 net.cpp:380] conv1_2_short -> conv1_2_short
I1017 23:08:15.012590 5918 net.cpp:122] Setting up conv1_2_short
I1017 23:08:15.012627 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.012643 5918 net.cpp:137] Memory required for data: 479199232
I1017 23:08:15.012658 5918 layer_factory.hpp:77] Creating layer conv10_1_comb
I1017 23:08:15.012694 5918 net.cpp:84] Creating Layer conv10_1_comb
I1017 23:08:15.012720 5918 net.cpp:406] conv10_1_comb <- conv10_1
I1017 23:08:15.012737 5918 net.cpp:406] conv10_1_comb <- conv1_2_short
I1017 23:08:15.012778 5918 net.cpp:380] conv10_1_comb -> conv10_1_comb
I1017 23:08:15.012823 5918 net.cpp:122] Setting up conv10_1_comb
I1017 23:08:15.012857 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.012894 5918 net.cpp:137] Memory required for data: 512753664
I1017 23:08:15.012928 5918 layer_factory.hpp:77] Creating layer relu10_1_comb
I1017 23:08:15.012982 5918 net.cpp:84] Creating Layer relu10_1_comb
I1017 23:08:15.013017 5918 net.cpp:406] relu10_1_comb <- conv10_1_comb
I1017 23:08:15.013053 5918 net.cpp:367] relu10_1_comb -> conv10_1_comb (in-place)
I1017 23:08:15.013077 5918 net.cpp:122] Setting up relu10_1_comb
I1017 23:08:15.013108 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.013145 5918 net.cpp:137] Memory required for data: 546308096
I1017 23:08:15.013170 5918 layer_factory.hpp:77] Creating layer conv10_2
I1017 23:08:15.013206 5918 net.cpp:84] Creating Layer conv10_2
I1017 23:08:15.013219 5918 net.cpp:406] conv10_2 <- conv10_1_comb
I1017 23:08:15.013236 5918 net.cpp:380] conv10_2 -> conv10_2
I1017 23:08:15.016170 5918 net.cpp:122] Setting up conv10_2
I1017 23:08:15.016230 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.016248 5918 net.cpp:137] Memory required for data: 579862528
I1017 23:08:15.016268 5918 layer_factory.hpp:77] Creating layer relu10_2
I1017 23:08:15.016285 5918 net.cpp:84] Creating Layer relu10_2
I1017 23:08:15.016321 5918 net.cpp:406] relu10_2 <- conv10_2
I1017 23:08:15.016347 5918 net.cpp:367] relu10_2 -> conv10_2 (in-place)
I1017 23:08:15.016536 5918 net.cpp:122] Setting up relu10_2
I1017 23:08:15.016566 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.016595 5918 net.cpp:137] Memory required for data: 613416960
I1017 23:08:15.016609 5918 layer_factory.hpp:77] Creating layer conv10_ab
I1017 23:08:15.016628 5918 net.cpp:84] Creating Layer conv10_ab
I1017 23:08:15.016659 5918 net.cpp:406] conv10_ab <- conv10_2
I1017 23:08:15.016674 5918 net.cpp:380] conv10_ab -> conv10_ab
I1017 23:08:15.016955 5918 net.cpp:122] Setting up conv10_ab
I1017 23:08:15.016988 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017004 5918 net.cpp:137] Memory required for data: 613941248
I1017 23:08:15.017019 5918 layer_factory.hpp:77] Creating layer pred_ab_1
I1017 23:08:15.017052 5918 net.cpp:84] Creating Layer pred_ab_1
I1017 23:08:15.017098 5918 net.cpp:406] pred_ab_1 <- conv10_ab
I1017 23:08:15.017139 5918 net.cpp:380] pred_ab_1 -> pred_ab_1
I1017 23:08:15.017165 5918 net.cpp:122] Setting up pred_ab_1
I1017 23:08:15.017190 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017230 5918 net.cpp:137] Memory required for data: 614465536
I1017 23:08:15.017266 5918 layer_factory.hpp:77] Creating layer pred_ab
I1017 23:08:15.017295 5918 net.cpp:84] Creating Layer pred_ab
I1017 23:08:15.017329 5918 net.cpp:406] pred_ab <- pred_ab_1
I1017 23:08:15.017365 5918 net.cpp:380] pred_ab -> pred_ab
I1017 23:08:15.017733 5918 net.cpp:122] Setting up pred_ab
I1017 23:08:15.017767 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017783 5918 net.cpp:137] Memory required for data: 614989824
I1017 23:08:15.017796 5918 net.cpp:200] pred_ab does not need backward computation.
I1017 23:08:15.017859 5918 net.cpp:200] pred_ab_1 does not need backward computation.
I1017 23:08:15.017890 5918 net.cpp:200] conv10_ab does not need backward computation.
I1017 23:08:15.017923 5918 net.cpp:200] relu10_2 does not need backward computation.
I1017 23:08:15.017944 5918 net.cpp:200] conv10_2 does not need backward computation.
I1017 23:08:15.017961 5918 net.cpp:200] relu10_1_comb does not need backward computation.
I1017 23:08:15.017979 5918 net.cpp:200] conv10_1_comb does not need backward computation.
I1017 23:08:15.018013 5918 net.cpp:200] conv1_2_short does not need backward computation.
I1017 23:08:15.018036 5918 net.cpp:200] conv10_1 does not need backward computation.
I1017 23:08:15.018067 5918 net.cpp:200] conv9_2norm does not need backward computation.
I1017 23:08:15.018105 5918 net.cpp:200] relu9_2 does not need backward computation.
I1017 23:08:15.018126 5918 net.cpp:200] conv9_2 does not need backward computation.
I1017 23:08:15.018142 5918 net.cpp:200] relu9_1_comb does not need backward computation.
I1017 23:08:15.018160 5918 net.cpp:200] conv9_1_comb does not need backward computation.
I1017 23:08:15.018194 5918 net.cpp:200] conv2_2_short does not need backward computation.
I1017 23:08:15.018229 5918 net.cpp:200] conv9_1 does not need backward computation.
I1017 23:08:15.018254 5918 net.cpp:200] conv8_3norm does not need backward computation.
I1017 23:08:15.018266 5918 net.cpp:200] relu8_3 does not need backward computation.
I1017 23:08:15.018278 5918 net.cpp:200] conv8_3 does not need backward computation.
I1017 23:08:15.018302 5918 net.cpp:200] relu8_2 does not need backward computation.
I1017 23:08:15.018335 5918 net.cpp:200] conv8_2 does not need backward computation.
I1017 23:08:15.018357 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.018373 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.018410 5918 net.cpp:200] conv3_3_short does not need backward computation.
I1017 23:08:15.018445 5918 net.cpp:200] conv8_1 does not need backward computation.
I1017 23:08:15.018482 5918 net.cpp:200] conv7_3norm does not need backward computation.
I1017 23:08:15.018501 5918 net.cpp:200] relu7_3 does not need backward computation.
I1017 23:08:15.018520 5918 net.cpp:200] conv7_3 does not need backward computation.
I1017 23:08:15.018554 5918 net.cpp:200] relu7_2 does not need backward computation.
I1017 23:08:15.018574 5918 net.cpp:200] conv7_2 does not need backward computation.
I1017 23:08:15.018600 5918 net.cpp:200] relu7_1 does not need backward computation.
I1017 23:08:15.018613 5918 net.cpp:200] conv7_1 does not need backward computation.
I1017 23:08:15.018643 5918 net.cpp:200] conv6_3norm does not need backward computation.
I1017 23:08:15.018662 5918 net.cpp:200] relu6_3 does not need backward computation.
I1017 23:08:15.018677 5918 net.cpp:200] conv6_3 does not need backward computation.
I1017 23:08:15.018713 5918 net.cpp:200] relu6_2 does not need backward computation.
I1017 23:08:15.018734 5918 net.cpp:200] conv6_2 does not need backward computation.
I1017 23:08:15.018750 5918 net.cpp:200] relu6_1 does not need backward computation.
I1017 23:08:15.018767 5918 net.cpp:200] conv6_1 does not need backward computation.
I1017 23:08:15.018801 5918 net.cpp:200] conv5_3norm does not need backward computation.
I1017 23:08:15.018834 5918 net.cpp:200] relu5_3 does not need backward computation.
I1017 23:08:15.018856 5918 net.cpp:200] conv5_3 does not need backward computation.
I1017 23:08:15.018867 5918 net.cpp:200] relu5_2 does not need backward computation.
I1017 23:08:15.018898 5918 net.cpp:200] conv5_2 does not need backward computation.
I1017 23:08:15.018932 5918 net.cpp:200] relu5_1 does not need backward computation.
I1017 23:08:15.018968 5918 net.cpp:200] conv5_1 does not need backward computation.
I1017 23:08:15.018991 5918 net.cpp:200] conv4_3norm does not need backward computation.
I1017 23:08:15.019007 5918 net.cpp:200] relu4_3 does not need backward computation.
I1017 23:08:15.019026 5918 net.cpp:200] conv4_3 does not need backward computation.
I1017 23:08:15.019059 5918 net.cpp:200] relu4_2 does not need backward computation.
I1017 23:08:15.019081 5918 net.cpp:200] conv4_2 does not need backward computation.
I1017 23:08:15.019112 5918 net.cpp:200] relu4_1 does not need backward computation.
I1017 23:08:15.019130 5918 net.cpp:200] conv4_1 does not need backward computation.
I1017 23:08:15.019161 5918 net.cpp:200] conv3_3norm_ss does not need backward computation.
I1017 23:08:15.019174 5918 net.cpp:200] conv3_3norm_conv3_3norm_0_split does not need backward computation.
I1017 23:08:15.019206 5918 net.cpp:200] conv3_3norm does not need backward computation.
I1017 23:08:15.019227 5918 net.cpp:200] relu3_3 does not need backward computation.
I1017 23:08:15.019243 5918 net.cpp:200] conv3_3 does not need backward computation.
I1017 23:08:15.019263 5918 net.cpp:200] relu3_2 does not need backward computation.
I1017 23:08:15.019295 5918 net.cpp:200] conv3_2 does not need backward computation.
I1017 23:08:15.019315 5918 net.cpp:200] relu3_1 does not need backward computation.
I1017 23:08:15.019351 5918 net.cpp:200] conv3_1 does not need backward computation.
I1017 23:08:15.019384 5918 net.cpp:200] conv2_2norm_ss does not need backward computation.
I1017 23:08:15.019423 5918 net.cpp:200] conv2_2norm_conv2_2norm_0_split does not need backward computation.
I1017 23:08:15.019444 5918 net.cpp:200] conv2_2norm does not need backward computation.
I1017 23:08:15.019481 5918 net.cpp:200] relu2_2 does not need backward computation.
I1017 23:08:15.019513 5918 net.cpp:200] conv2_2 does not need backward computation.
I1017 23:08:15.019553 5918 net.cpp:200] relu2_1 does not need backward computation.
I1017 23:08:15.019574 5918 net.cpp:200] conv2_1 does not need backward computation.
I1017 23:08:15.019608 5918 net.cpp:200] conv1_2norm_ss does not need backward computation.
I1017 23:08:15.019632 5918 net.cpp:200] conv1_2norm_conv1_2norm_0_split does not need backward computation.
I1017 23:08:15.019665 5918 net.cpp:200] conv1_2norm does not need backward computation.
I1017 23:08:15.019702 5918 net.cpp:200] relu1_2 does not need backward computation.
I1017 23:08:15.019724 5918 net.cpp:200] conv1_2 does not need backward computation.
I1017 23:08:15.019742 5918 net.cpp:200] relu1_1 does not need backward computation.
I1017 23:08:15.019776 5918 net.cpp:200] conv1_1 does not need backward computation.
I1017 23:08:15.019810 5918 net.cpp:200] bw_conv1_1 does not need backward computation.
I1017 23:08:15.019847 5918 net.cpp:200] ab_conv1_1 does not need backward computation.
I1017 23:08:15.019870 5918 net.cpp:200] Slice does not need backward computation.
I1017 23:08:15.019901 5918 net.cpp:200] data_l_ab_mask does not need backward computation.
I1017 23:08:15.020143 5918 net.cpp:242] This network produces output pred_ab
I1017 23:08:15.020259 5918 net.cpp:255] Network initialization done.
I1017 23:08:15.447329 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/model.caffemodel
I1017 23:08:15.447433 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:15.447446 5918 net.cpp:744] Ignoring source layer img
I1017 23:08:15.447458 5918 net.cpp:744] Ignoring source layer img_lab
I1017 23:08:15.447468 5918 net.cpp:744] Ignoring source layer img_slice
I1017 23:08:15.447507 5918 net.cpp:744] Ignoring source layer data_ab_img_slice_1_split
I1017 23:08:15.447520 5918 net.cpp:744] Ignoring source layer data_l_meansub
I1017 23:08:15.447530 5918 net.cpp:744] Ignoring source layer data_ab_mask
I1017 23:08:15.455726 5918 net.cpp:744] Ignoring source layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.463327 5918 net.cpp:744] Ignoring source layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.471149 5918 net.cpp:744] Ignoring source layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.479413 5918 net.cpp:744] Ignoring source layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.483928 5918 net.cpp:744] Ignoring source layer conv8_3norm_conv8_3norm_0_split
I1017 23:08:15.485272 5918 net.cpp:744] Ignoring source layer pred_ab_2
I1017 23:08:15.485342 5918 net.cpp:744] Ignoring source layer loss_ab
I1017 23:08:15.485352 5918 net.cpp:744] Ignoring source layer loss_ab_loss_ab_0_split
I1017 23:08:15.485363 5918 net.cpp:744] Ignoring source layer data_ab_rs
I1017 23:08:15.485371 5918 net.cpp:744] Ignoring source layer gt_ab_313
I1017 23:08:15.485380 5918 net.cpp:744] Ignoring source layer conv3_pred
I1017 23:08:15.485389 5918 net.cpp:744] Ignoring source layer conv4_pred
I1017 23:08:15.485419 5918 net.cpp:744] Ignoring source layer conv5_pred
I1017 23:08:15.485437 5918 net.cpp:744] Ignoring source layer conv6_pred
I1017 23:08:15.485452 5918 net.cpp:744] Ignoring source layer conv7_pred
I1017 23:08:15.485483 5918 net.cpp:744] Ignoring source layer conv8_pred
I1017 23:08:15.485500 5918 net.cpp:744] Ignoring source layer conv345678_pred
I1017 23:08:15.485514 5918 net.cpp:744] Ignoring source layer relu345678_pred
I1017 23:08:15.485541 5918 net.cpp:744] Ignoring source layer pred_313
I1017 23:08:15.485574 5918 net.cpp:744] Ignoring source layer SoftmaxLossPred
I1017 23:08:15.485604 5918 net.cpp:744] Ignoring source layer loss_class_SoftmaxLossPred_0_split
I1017 23:08:15.485636 5918 net.cpp:744] Ignoring source layer loss_log
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nopred.prototxt, model_path = ./models/reference_model/model.caffemodel
W1017 23:08:15.504539 5918 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W1017 23:08:15.504582 5918 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W1017 23:08:15.504600 5918 _caffe.cpp:142] Net('./models/reference_model/deploy_nopred.prototxt', 1, weights='./models/reference_model/model.caffemodel')
I1017 23:08:15.506335 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/deploy_nopred.prototxt
I1017 23:08:15.506386 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:15.506606 5918 net.cpp:51] Initializing net from parameters:
state {
phase: TEST
level: 0
}
layer {
name: "data_l_ab_mask"
type: "Input"
top: "data_l_ab_mask"
input_param {
shape {
dim: 1
dim: 4
dim: 256
dim: 256
}
}
}
layer {
name: "Slice"
type: "Slice"
bottom: "data_l_ab_mask"
top: "data_l"
top: "data_ab_mask"
slice_param {
slice_point: 1
axis: 1
}
}
layer {
name: "ab_conv1_1"
type: "Convolution"
bottom: "data_ab_mask"
top: "ab_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "bw_conv1_1"
type: "Convolution"
bottom: "data_l"
top: "bw_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "conv1_1"
type: "Eltwise"
bottom: "bw_conv1_1"
bottom: "ab_conv1_1"
top: "conv1_1"
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "conv1_2norm"
type: "BatchNorm"
bottom: "conv1_2"
top: "conv1_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv1_2norm_ss"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
group: 64
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "conv1_2norm_ss"
top: "conv2_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_2norm"
type: "BatchNorm"
bottom: "conv2_2"
top: "conv2_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv2_2norm_ss"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
group: 128
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "conv2_2norm_ss"
top: "conv3_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_3norm"
type: "BatchNorm"
bottom: "conv3_3"
top: "conv3_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_3norm_ss"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
group: 256
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "conv3_3norm_ss"
top: "conv4_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_3norm"
type: "BatchNorm"
bottom: "conv4_3"
top: "conv4_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "conv4_3norm"
top: "conv5_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "conv5_3norm"
type: "BatchNorm"
bottom: "conv5_3"
top: "conv5_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv6_1"
type: "Convolution"
bottom: "conv5_3norm"
top: "conv6_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_1"
type: "ReLU"
bottom: "conv6_1"
top: "conv6_1"
}
layer {
name: "conv6_2"
type: "Convolution"
bottom: "conv6_1"
top: "conv6_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_2"
type: "ReLU"
bottom: "conv6_2"
top: "conv6_2"
}
layer {
name: "conv6_3"
type: "Convolution"
bottom: "conv6_2"
top: "conv6_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_3"
type: "ReLU"
bottom: "conv6_3"
top: "conv6_3"
}
layer {
name: "conv6_3norm"
type: "BatchNorm"
bottom: "conv6_3"
top: "conv6_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv7_1"
type: "Convolution"
bottom: "conv6_3norm"
top: "conv7_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_1"
type: "ReLU"
bottom: "conv7_1"
top: "conv7_1"
}
layer {
name: "conv7_2"
type: "Convolution"
bottom: "conv7_1"
top: "conv7_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_2"
type: "ReLU"
bottom: "conv7_2"
top: "conv7_2"
}
layer {
name: "conv7_3"
type: "Convolution"
bottom: "conv7_2"
top: "conv7_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_3"
type: "ReLU"
bottom: "conv7_3"
top: "conv7_3"
}
layer {
name: "conv7_3norm"
type: "BatchNorm"
bottom: "conv7_3"
top: "conv7_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv8_1"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv8_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 4
stride: 2
dilation: 1
}
}
layer {
name: "conv3_3_short"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3_short"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv8_1_comb"
type: "Eltwise"
bottom: "conv8_1"
bottom: "conv3_3_short"
top: "conv8_1_comb"
}
layer {
name: "conv8_1_comb"
type: "ReLU"
bottom: "conv8_1_comb"
top: "conv8_1_comb"
}
layer {
name: "conv8_2"
type: "Convolution"
bottom: "conv8_1_comb"
top: "conv8_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_2"
type: "ReLU"
bottom: "conv8_2"
top: "conv8_2"
}
layer {
name: "conv8_3"
type: "Convolution"
bottom: "conv8_2"
top: "conv8_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_3"
type: "ReLU"
bottom: "conv8_3"
top: "conv8_3"
}
layer {
name: "conv8_3norm"
type: "BatchNorm"
bottom: "conv8_3"
top: "conv8_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_pred"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv4_pred"
type: "Deconvolution"
bottom: "conv4_3norm"
top: "conv4_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv5_pred"
type: "Deconvolution"
bottom: "conv5_3norm"
top: "conv5_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv6_pred"
type: "Deconvolution"
bottom: "conv6_3norm"
top: "conv6_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv7_pred"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv7_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv8_pred"
type: "Convolution"
bottom: "conv8_3norm"
top: "conv8_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv345678_pred"
type: "Eltwise"
bottom: "conv3_pred"
bottom: "conv4_pred"
bottom: "conv5_pred"
bottom: "conv6_pred"
bottom: "conv7_pred"
bottom: "conv8_pred"
top: "conv345678_pred"
}
layer {
name: "relu345678_pred"
type: "ReLU"
bottom: "conv345678_pred"
top: "conv345678_pred"
}
layer {
name: "pred_313"
type: "Convolution"
bottom: "conv345678_pred"
top: "pred_313"
convolution_param {
num_output: 313
kernel_size: 1
stride: 1
dilation: 1
}
}
layer {
name: "pred_313_us"
type: "Deconvolution"
bottom: "pred_313"
top: "pred_313_us"
param {
name: "kern_us"
}
convolution_param {
num_output: 313
bias_term: false
pad: 1
kernel_size: 4
group: 313
stride: 2
}
}
layer {
name: "pred_313_rs"
type: "Deconvolution"
bottom: "pred_313_us"
top: "pred_313_rs"
param {
name: "kern_us"
}
convolution_param {
num_output: 313
bias_term: false
pad: 1
kernel_size: 4
group: 313
stride: 2
}
}
layer {
name: "scale_S"
type: "Scale"
bottom: "pred_313_rs"
top: "scale_S"
scale_param {
filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "dist_ab_S"
type: "Softmax"
bottom: "scale_S"
top: "dist_ab_S"
}
layer {
name: "scale_T"
type: "Scale"
bottom: "pred_313_rs"
top: "scale_T"
scale_param {
filler {
type: "constant"
value: 2.6
}
}
}
layer {
name: "dist_ab"
type: "Softmax"
bottom: "scale_T"
top: "dist_ab_T"
}
layer {
name: "pred_ab"
type: "Convolution"
bottom: "dist_ab_T"
top: "pred_ab"
convolution_param {
num_output: 2
kernel_size: 1
}
}
I1017 23:08:15.509243 5918 layer_factory.hpp:77] Creating layer data_l_ab_mask
I1017 23:08:15.509280 5918 net.cpp:84] Creating Layer data_l_ab_mask
I1017 23:08:15.509294 5918 net.cpp:380] data_l_ab_mask -> data_l_ab_mask
I1017 23:08:15.509313 5918 net.cpp:122] Setting up data_l_ab_mask
I1017 23:08:15.509325 5918 net.cpp:129] Top shape: 1 4 256 256 (262144)
I1017 23:08:15.509351 5918 net.cpp:137] Memory required for data: 1048576
I1017 23:08:15.509362 5918 layer_factory.hpp:77] Creating layer Slice
I1017 23:08:15.509392 5918 net.cpp:84] Creating Layer Slice
I1017 23:08:15.509410 5918 net.cpp:406] Slice <- data_l_ab_mask
I1017 23:08:15.509429 5918 net.cpp:380] Slice -> data_l
I1017 23:08:15.509671 5918 net.cpp:380] Slice -> data_ab_mask
I1017 23:08:15.509714 5918 net.cpp:122] Setting up Slice
I1017 23:08:15.509744 5918 net.cpp:129] Top shape: 1 1 256 256 (65536)
I1017 23:08:15.509769 5918 net.cpp:129] Top shape: 1 3 256 256 (196608)
I1017 23:08:15.509783 5918 net.cpp:137] Memory required for data: 2097152
I1017 23:08:15.509793 5918 layer_factory.hpp:77] Creating layer ab_conv1_1
I1017 23:08:15.509807 5918 net.cpp:84] Creating Layer ab_conv1_1
I1017 23:08:15.509816 5918 net.cpp:406] ab_conv1_1 <- data_ab_mask
I1017 23:08:15.509830 5918 net.cpp:380] ab_conv1_1 -> ab_conv1_1
I1017 23:08:15.509949 5918 net.cpp:122] Setting up ab_conv1_1
I1017 23:08:15.509995 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510032 5918 net.cpp:137] Memory required for data: 18874368
I1017 23:08:15.510061 5918 layer_factory.hpp:77] Creating layer bw_conv1_1
I1017 23:08:15.510098 5918 net.cpp:84] Creating Layer bw_conv1_1
I1017 23:08:15.510118 5918 net.cpp:406] bw_conv1_1 <- data_l
I1017 23:08:15.510152 5918 net.cpp:380] bw_conv1_1 -> bw_conv1_1
I1017 23:08:15.510308 5918 net.cpp:122] Setting up bw_conv1_1
I1017 23:08:15.510337 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510360 5918 net.cpp:137] Memory required for data: 35651584
I1017 23:08:15.510383 5918 layer_factory.hpp:77] Creating layer conv1_1
I1017 23:08:15.510419 5918 net.cpp:84] Creating Layer conv1_1
I1017 23:08:15.510438 5918 net.cpp:406] conv1_1 <- bw_conv1_1
I1017 23:08:15.510469 5918 net.cpp:406] conv1_1 <- ab_conv1_1
I1017 23:08:15.510488 5918 net.cpp:380] conv1_1 -> conv1_1
I1017 23:08:15.510526 5918 net.cpp:122] Setting up conv1_1
I1017 23:08:15.510558 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510583 5918 net.cpp:137] Memory required for data: 52428800
I1017 23:08:15.510597 5918 layer_factory.hpp:77] Creating layer relu1_1
I1017 23:08:15.510632 5918 net.cpp:84] Creating Layer relu1_1
I1017 23:08:15.510653 5918 net.cpp:406] relu1_1 <- conv1_1
I1017 23:08:15.510689 5918 net.cpp:367] relu1_1 -> conv1_1 (in-place)
I1017 23:08:15.510725 5918 net.cpp:122] Setting up relu1_1
I1017 23:08:15.510740 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510774 5918 net.cpp:137] Memory required for data: 69206016
I1017 23:08:15.510789 5918 layer_factory.hpp:77] Creating layer conv1_2
I1017 23:08:15.510825 5918 net.cpp:84] Creating Layer conv1_2
I1017 23:08:15.510844 5918 net.cpp:406] conv1_2 <- conv1_1
I1017 23:08:15.510880 5918 net.cpp:380] conv1_2 -> conv1_2
I1017 23:08:15.511101 5918 net.cpp:122] Setting up conv1_2
I1017 23:08:15.511129 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511149 5918 net.cpp:137] Memory required for data: 85983232
I1017 23:08:15.511186 5918 layer_factory.hpp:77] Creating layer relu1_2
I1017 23:08:15.511209 5918 net.cpp:84] Creating Layer relu1_2
I1017 23:08:15.511222 5918 net.cpp:406] relu1_2 <- conv1_2
I1017 23:08:15.511253 5918 net.cpp:367] relu1_2 -> conv1_2 (in-place)
I1017 23:08:15.511273 5918 net.cpp:122] Setting up relu1_2
I1017 23:08:15.511289 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511310 5918 net.cpp:137] Memory required for data: 102760448
I1017 23:08:15.511323 5918 layer_factory.hpp:77] Creating layer conv1_2norm
I1017 23:08:15.511345 5918 net.cpp:84] Creating Layer conv1_2norm
I1017 23:08:15.511376 5918 net.cpp:406] conv1_2norm <- conv1_2
I1017 23:08:15.511401 5918 net.cpp:380] conv1_2norm -> conv1_2norm
I1017 23:08:15.511538 5918 net.cpp:122] Setting up conv1_2norm
I1017 23:08:15.511566 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511590 5918 net.cpp:137] Memory required for data: 119537664
I1017 23:08:15.511617 5918 layer_factory.hpp:77] Creating layer conv1_2norm_ss
I1017 23:08:15.511656 5918 net.cpp:84] Creating Layer conv1_2norm_ss
I1017 23:08:15.511675 5918 net.cpp:406] conv1_2norm_ss <- conv1_2norm
I1017 23:08:15.511696 5918 net.cpp:380] conv1_2norm_ss -> conv1_2norm_ss
I1017 23:08:15.511751 5918 net.cpp:122] Setting up conv1_2norm_ss
I1017 23:08:15.511783 5918 net.cpp:129] Top shape: 1 64 128 128 (1048576)
I1017 23:08:15.511806 5918 net.cpp:137] Memory required for data: 123731968
I1017 23:08:15.511824 5918 layer_factory.hpp:77] Creating layer conv2_1
I1017 23:08:15.511862 5918 net.cpp:84] Creating Layer conv2_1
I1017 23:08:15.511880 5918 net.cpp:406] conv2_1 <- conv1_2norm_ss
I1017 23:08:15.511901 5918 net.cpp:380] conv2_1 -> conv2_1
I1017 23:08:15.512075 5918 net.cpp:122] Setting up conv2_1
I1017 23:08:15.512105 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512141 5918 net.cpp:137] Memory required for data: 132120576
I1017 23:08:15.512164 5918 layer_factory.hpp:77] Creating layer relu2_1
I1017 23:08:15.512200 5918 net.cpp:84] Creating Layer relu2_1
I1017 23:08:15.512219 5918 net.cpp:406] relu2_1 <- conv2_1
I1017 23:08:15.512238 5918 net.cpp:367] relu2_1 -> conv2_1 (in-place)
I1017 23:08:15.512274 5918 net.cpp:122] Setting up relu2_1
I1017 23:08:15.512290 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512326 5918 net.cpp:137] Memory required for data: 140509184
I1017 23:08:15.512342 5918 layer_factory.hpp:77] Creating layer conv2_2
I1017 23:08:15.512362 5918 net.cpp:84] Creating Layer conv2_2
I1017 23:08:15.512394 5918 net.cpp:406] conv2_2 <- conv2_1
I1017 23:08:15.512409 5918 net.cpp:380] conv2_2 -> conv2_2
I1017 23:08:15.512668 5918 net.cpp:122] Setting up conv2_2
I1017 23:08:15.512698 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512722 5918 net.cpp:137] Memory required for data: 148897792
I1017 23:08:15.512742 5918 layer_factory.hpp:77] Creating layer relu2_2
I1017 23:08:15.512778 5918 net.cpp:84] Creating Layer relu2_2
I1017 23:08:15.512797 5918 net.cpp:406] relu2_2 <- conv2_2
I1017 23:08:15.512814 5918 net.cpp:367] relu2_2 -> conv2_2 (in-place)
I1017 23:08:15.512850 5918 net.cpp:122] Setting up relu2_2
I1017 23:08:15.512867 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512890 5918 net.cpp:137] Memory required for data: 157286400
I1017 23:08:15.512904 5918 layer_factory.hpp:77] Creating layer conv2_2norm
I1017 23:08:15.512941 5918 net.cpp:84] Creating Layer conv2_2norm
I1017 23:08:15.512960 5918 net.cpp:406] conv2_2norm <- conv2_2
I1017 23:08:15.512979 5918 net.cpp:380] conv2_2norm -> conv2_2norm
I1017 23:08:15.513056 5918 net.cpp:122] Setting up conv2_2norm
I1017 23:08:15.513085 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.513108 5918 net.cpp:137] Memory required for data: 165675008
I1017 23:08:15.513152 5918 layer_factory.hpp:77] Creating layer conv2_2norm_ss
I1017 23:08:15.513178 5918 net.cpp:84] Creating Layer conv2_2norm_ss
I1017 23:08:15.513195 5918 net.cpp:406] conv2_2norm_ss <- conv2_2norm
I1017 23:08:15.513213 5918 net.cpp:380] conv2_2norm_ss -> conv2_2norm_ss
I1017 23:08:15.513262 5918 net.cpp:122] Setting up conv2_2norm_ss
I1017 23:08:15.513290 5918 net.cpp:129] Top shape: 1 128 64 64 (524288)
I1017 23:08:15.513310 5918 net.cpp:137] Memory required for data: 167772160
I1017 23:08:15.513330 5918 layer_factory.hpp:77] Creating layer conv3_1
I1017 23:08:15.513351 5918 net.cpp:84] Creating Layer conv3_1
I1017 23:08:15.513378 5918 net.cpp:406] conv3_1 <- conv2_2norm_ss
I1017 23:08:15.513398 5918 net.cpp:380] conv3_1 -> conv3_1
I1017 23:08:15.513893 5918 net.cpp:122] Setting up conv3_1
I1017 23:08:15.513989 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.514051 5918 net.cpp:137] Memory required for data: 171966464
I1017 23:08:15.514073 5918 layer_factory.hpp:77] Creating layer relu3_1
I1017 23:08:15.514104 5918 net.cpp:84] Creating Layer relu3_1
I1017 23:08:15.514119 5918 net.cpp:406] relu3_1 <- conv3_1
I1017 23:08:15.514147 5918 net.cpp:367] relu3_1 -> conv3_1 (in-place)
I1017 23:08:15.514178 5918 net.cpp:122] Setting up relu3_1
I1017 23:08:15.514204 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.514223 5918 net.cpp:137] Memory required for data: 176160768
I1017 23:08:15.514235 5918 layer_factory.hpp:77] Creating layer conv3_2
I1017 23:08:15.514266 5918 net.cpp:84] Creating Layer conv3_2
I1017 23:08:15.514292 5918 net.cpp:406] conv3_2 <- conv3_1
I1017 23:08:15.514312 5918 net.cpp:380] conv3_2 -> conv3_2
I1017 23:08:15.516732 5918 net.cpp:122] Setting up conv3_2
I1017 23:08:15.516779 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.516798 5918 net.cpp:137] Memory required for data: 180355072
I1017 23:08:15.516836 5918 layer_factory.hpp:77] Creating layer relu3_2
I1017 23:08:15.516882 5918 net.cpp:84] Creating Layer relu3_2
I1017 23:08:15.516898 5918 net.cpp:406] relu3_2 <- conv3_2
I1017 23:08:15.516914 5918 net.cpp:367] relu3_2 -> conv3_2 (in-place)
I1017 23:08:15.516957 5918 net.cpp:122] Setting up relu3_2
I1017 23:08:15.516969 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.517012 5918 net.cpp:137] Memory required for data: 184549376
I1017 23:08:15.517025 5918 layer_factory.hpp:77] Creating layer conv3_3
I1017 23:08:15.517045 5918 net.cpp:84] Creating Layer conv3_3
I1017 23:08:15.517069 5918 net.cpp:406] conv3_3 <- conv3_2
I1017 23:08:15.517089 5918 net.cpp:380] conv3_3 -> conv3_3
I1017 23:08:15.519098 5918 net.cpp:122] Setting up conv3_3
I1017 23:08:15.519155 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519173 5918 net.cpp:137] Memory required for data: 188743680
I1017 23:08:15.519191 5918 layer_factory.hpp:77] Creating layer relu3_3
I1017 23:08:15.519209 5918 net.cpp:84] Creating Layer relu3_3
I1017 23:08:15.519223 5918 net.cpp:406] relu3_3 <- conv3_3
I1017 23:08:15.519238 5918 net.cpp:367] relu3_3 -> conv3_3 (in-place)
I1017 23:08:15.519268 5918 net.cpp:122] Setting up relu3_3
I1017 23:08:15.519282 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519299 5918 net.cpp:137] Memory required for data: 192937984
I1017 23:08:15.519313 5918 layer_factory.hpp:77] Creating layer conv3_3norm
I1017 23:08:15.519347 5918 net.cpp:84] Creating Layer conv3_3norm
I1017 23:08:15.519373 5918 net.cpp:406] conv3_3norm <- conv3_3
I1017 23:08:15.519407 5918 net.cpp:380] conv3_3norm -> conv3_3norm
I1017 23:08:15.519459 5918 net.cpp:122] Setting up conv3_3norm
I1017 23:08:15.519493 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519510 5918 net.cpp:137] Memory required for data: 197132288
I1017 23:08:15.519536 5918 layer_factory.hpp:77] Creating layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519556 5918 net.cpp:84] Creating Layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519572 5918 net.cpp:406] conv3_3norm_conv3_3norm_0_split <- conv3_3norm
I1017 23:08:15.519589 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:15.519623 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:15.519647 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_2
I1017 23:08:15.519671 5918 net.cpp:122] Setting up conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519686 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519706 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519737 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519757 5918 net.cpp:137] Memory required for data: 209715200
I1017 23:08:15.519771 5918 layer_factory.hpp:77] Creating layer conv3_3norm_ss
I1017 23:08:15.519794 5918 net.cpp:84] Creating Layer conv3_3norm_ss
I1017 23:08:15.519822 5918 net.cpp:406] conv3_3norm_ss <- conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:15.519855 5918 net.cpp:380] conv3_3norm_ss -> conv3_3norm_ss
I1017 23:08:15.519889 5918 net.cpp:122] Setting up conv3_3norm_ss
I1017 23:08:15.519902 5918 net.cpp:129] Top shape: 1 256 32 32 (262144)
I1017 23:08:15.519917 5918 net.cpp:137] Memory required for data: 210763776
I1017 23:08:15.519948 5918 layer_factory.hpp:77] Creating layer conv4_1
I1017 23:08:15.519981 5918 net.cpp:84] Creating Layer conv4_1
I1017 23:08:15.519996 5918 net.cpp:406] conv4_1 <- conv3_3norm_ss
I1017 23:08:15.520016 5918 net.cpp:380] conv4_1 -> conv4_1
I1017 23:08:15.524555 5918 net.cpp:122] Setting up conv4_1
I1017 23:08:15.524621 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.524641 5918 net.cpp:137] Memory required for data: 212860928
I1017 23:08:15.524662 5918 layer_factory.hpp:77] Creating layer relu4_1
I1017 23:08:15.524698 5918 net.cpp:84] Creating Layer relu4_1
I1017 23:08:15.524726 5918 net.cpp:406] relu4_1 <- conv4_1
I1017 23:08:15.524746 5918 net.cpp:367] relu4_1 -> conv4_1 (in-place)
I1017 23:08:15.524791 5918 net.cpp:122] Setting up relu4_1
I1017 23:08:15.524803 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.524823 5918 net.cpp:137] Memory required for data: 214958080
I1017 23:08:15.524835 5918 layer_factory.hpp:77] Creating layer conv4_2
I1017 23:08:15.524868 5918 net.cpp:84] Creating Layer conv4_2
I1017 23:08:15.524896 5918 net.cpp:406] conv4_2 <- conv4_1
I1017 23:08:15.524927 5918 net.cpp:380] conv4_2 -> conv4_2
I1017 23:08:15.528928 5918 net.cpp:122] Setting up conv4_2
I1017 23:08:15.528976 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.529002 5918 net.cpp:137] Memory required for data: 217055232
I1017 23:08:15.529033 5918 layer_factory.hpp:77] Creating layer relu4_2
I1017 23:08:15.529049 5918 net.cpp:84] Creating Layer relu4_2
I1017 23:08:15.529057 5918 net.cpp:406] relu4_2 <- conv4_2
I1017 23:08:15.529064 5918 net.cpp:367] relu4_2 -> conv4_2 (in-place)
I1017 23:08:15.529074 5918 net.cpp:122] Setting up relu4_2
I1017 23:08:15.529079 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.529084 5918 net.cpp:137] Memory required for data: 219152384
I1017 23:08:15.529089 5918 layer_factory.hpp:77] Creating layer conv4_3
I1017 23:08:15.529098 5918 net.cpp:84] Creating Layer conv4_3
I1017 23:08:15.529103 5918 net.cpp:406] conv4_3 <- conv4_2
I1017 23:08:15.529109 5918 net.cpp:380] conv4_3 -> conv4_3
I1017 23:08:15.534245 5918 net.cpp:122] Setting up conv4_3
I1017 23:08:15.534301 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534312 5918 net.cpp:137] Memory required for data: 221249536
I1017 23:08:15.534323 5918 layer_factory.hpp:77] Creating layer relu4_3
I1017 23:08:15.534370 5918 net.cpp:84] Creating Layer relu4_3
I1017 23:08:15.534390 5918 net.cpp:406] relu4_3 <- conv4_3
I1017 23:08:15.534411 5918 net.cpp:367] relu4_3 -> conv4_3 (in-place)
I1017 23:08:15.534446 5918 net.cpp:122] Setting up relu4_3
I1017 23:08:15.534464 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534471 5918 net.cpp:137] Memory required for data: 223346688
I1017 23:08:15.534476 5918 layer_factory.hpp:77] Creating layer conv4_3norm
I1017 23:08:15.534502 5918 net.cpp:84] Creating Layer conv4_3norm
I1017 23:08:15.534521 5918 net.cpp:406] conv4_3norm <- conv4_3
I1017 23:08:15.534555 5918 net.cpp:380] conv4_3norm -> conv4_3norm
I1017 23:08:15.534596 5918 net.cpp:122] Setting up conv4_3norm
I1017 23:08:15.534615 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534626 5918 net.cpp:137] Memory required for data: 225443840
I1017 23:08:15.534633 5918 layer_factory.hpp:77] Creating layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534642 5918 net.cpp:84] Creating Layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534648 5918 net.cpp:406] conv4_3norm_conv4_3norm_0_split <- conv4_3norm
I1017 23:08:15.534657 5918 net.cpp:380] conv4_3norm_conv4_3norm_0_split -> conv4_3norm_conv4_3norm_0_split_0
I1017 23:08:15.534663 5918 net.cpp:380] conv4_3norm_conv4_3norm_0_split -> conv4_3norm_conv4_3norm_0_split_1
I1017 23:08:15.534670 5918 net.cpp:122] Setting up conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534687 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534703 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534708 5918 net.cpp:137] Memory required for data: 229638144
I1017 23:08:15.534723 5918 layer_factory.hpp:77] Creating layer conv5_1
I1017 23:08:15.534732 5918 net.cpp:84] Creating Layer conv5_1
I1017 23:08:15.534747 5918 net.cpp:406] conv5_1 <- conv4_3norm_conv4_3norm_0_split_0
I1017 23:08:15.534754 5918 net.cpp:380] conv5_1 -> conv5_1
I1017 23:08:15.538700 5918 net.cpp:122] Setting up conv5_1
I1017 23:08:15.538803 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.538815 5918 net.cpp:137] Memory required for data: 231735296
I1017 23:08:15.538825 5918 layer_factory.hpp:77] Creating layer relu5_1
I1017 23:08:15.538836 5918 net.cpp:84] Creating Layer relu5_1
I1017 23:08:15.538841 5918 net.cpp:406] relu5_1 <- conv5_1
I1017 23:08:15.538848 5918 net.cpp:367] relu5_1 -> conv5_1 (in-place)
I1017 23:08:15.538857 5918 net.cpp:122] Setting up relu5_1
I1017 23:08:15.538873 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.538880 5918 net.cpp:137] Memory required for data: 233832448
I1017 23:08:15.538898 5918 layer_factory.hpp:77] Creating layer conv5_2
I1017 23:08:15.538908 5918 net.cpp:84] Creating Layer conv5_2
I1017 23:08:15.538914 5918 net.cpp:406] conv5_2 <- conv5_1
I1017 23:08:15.538919 5918 net.cpp:380] conv5_2 -> conv5_2
I1017 23:08:15.542616 5918 net.cpp:122] Setting up conv5_2
I1017 23:08:15.542698 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.542732 5918 net.cpp:137] Memory required for data: 235929600
I1017 23:08:15.542758 5918 layer_factory.hpp:77] Creating layer relu5_2
I1017 23:08:15.542810 5918 net.cpp:84] Creating Layer relu5_2
I1017 23:08:15.542845 5918 net.cpp:406] relu5_2 <- conv5_2
I1017 23:08:15.542881 5918 net.cpp:367] relu5_2 -> conv5_2 (in-place)
I1017 23:08:15.542906 5918 net.cpp:122] Setting up relu5_2
I1017 23:08:15.542948 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.542969 5918 net.cpp:137] Memory required for data: 238026752
I1017 23:08:15.542984 5918 layer_factory.hpp:77] Creating layer conv5_3
I1017 23:08:15.543006 5918 net.cpp:84] Creating Layer conv5_3
I1017 23:08:15.543035 5918 net.cpp:406] conv5_3 <- conv5_2
I1017 23:08:15.543056 5918 net.cpp:380] conv5_3 -> conv5_3
I1017 23:08:15.548581 5918 net.cpp:122] Setting up conv5_3
I1017 23:08:15.548647 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548657 5918 net.cpp:137] Memory required for data: 240123904
I1017 23:08:15.548666 5918 layer_factory.hpp:77] Creating layer relu5_3
I1017 23:08:15.548678 5918 net.cpp:84] Creating Layer relu5_3
I1017 23:08:15.548684 5918 net.cpp:406] relu5_3 <- conv5_3
I1017 23:08:15.548692 5918 net.cpp:367] relu5_3 -> conv5_3 (in-place)
I1017 23:08:15.548722 5918 net.cpp:122] Setting up relu5_3
I1017 23:08:15.548732 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548738 5918 net.cpp:137] Memory required for data: 242221056
I1017 23:08:15.548741 5918 layer_factory.hpp:77] Creating layer conv5_3norm
I1017 23:08:15.548748 5918 net.cpp:84] Creating Layer conv5_3norm
I1017 23:08:15.548755 5918 net.cpp:406] conv5_3norm <- conv5_3
I1017 23:08:15.548763 5918 net.cpp:380] conv5_3norm -> conv5_3norm
I1017 23:08:15.548776 5918 net.cpp:122] Setting up conv5_3norm
I1017 23:08:15.548784 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548789 5918 net.cpp:137] Memory required for data: 244318208
I1017 23:08:15.548796 5918 layer_factory.hpp:77] Creating layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548804 5918 net.cpp:84] Creating Layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548810 5918 net.cpp:406] conv5_3norm_conv5_3norm_0_split <- conv5_3norm
I1017 23:08:15.548815 5918 net.cpp:380] conv5_3norm_conv5_3norm_0_split -> conv5_3norm_conv5_3norm_0_split_0
I1017 23:08:15.548856 5918 net.cpp:380] conv5_3norm_conv5_3norm_0_split -> conv5_3norm_conv5_3norm_0_split_1
I1017 23:08:15.548900 5918 net.cpp:122] Setting up conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548929 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548949 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548956 5918 net.cpp:137] Memory required for data: 248512512
I1017 23:08:15.548960 5918 layer_factory.hpp:77] Creating layer conv6_1
I1017 23:08:15.548990 5918 net.cpp:84] Creating Layer conv6_1
I1017 23:08:15.549017 5918 net.cpp:406] conv6_1 <- conv5_3norm_conv5_3norm_0_split_0
I1017 23:08:15.549051 5918 net.cpp:380] conv6_1 -> conv6_1
I1017 23:08:15.555788 5918 net.cpp:122] Setting up conv6_1
I1017 23:08:15.555840 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.555856 5918 net.cpp:137] Memory required for data: 250609664
I1017 23:08:15.555896 5918 layer_factory.hpp:77] Creating layer relu6_1
I1017 23:08:15.555927 5918 net.cpp:84] Creating Layer relu6_1
I1017 23:08:15.555958 5918 net.cpp:406] relu6_1 <- conv6_1
I1017 23:08:15.555979 5918 net.cpp:367] relu6_1 -> conv6_1 (in-place)
I1017 23:08:15.556012 5918 net.cpp:122] Setting up relu6_1
I1017 23:08:15.556028 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.556067 5918 net.cpp:137] Memory required for data: 252706816
I1017 23:08:15.556100 5918 layer_factory.hpp:77] Creating layer conv6_2
I1017 23:08:15.556149 5918 net.cpp:84] Creating Layer conv6_2
I1017 23:08:15.556169 5918 net.cpp:406] conv6_2 <- conv6_1
I1017 23:08:15.556183 5918 net.cpp:380] conv6_2 -> conv6_2
I1017 23:08:15.563122 5918 net.cpp:122] Setting up conv6_2
I1017 23:08:15.563169 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.563194 5918 net.cpp:137] Memory required for data: 254803968
I1017 23:08:15.563232 5918 layer_factory.hpp:77] Creating layer relu6_2
I1017 23:08:15.563251 5918 net.cpp:84] Creating Layer relu6_2
I1017 23:08:15.563275 5918 net.cpp:406] relu6_2 <- conv6_2
I1017 23:08:15.563290 5918 net.cpp:367] relu6_2 -> conv6_2 (in-place)
I1017 23:08:15.563321 5918 net.cpp:122] Setting up relu6_2
I1017 23:08:15.563339 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.563372 5918 net.cpp:137] Memory required for data: 256901120
I1017 23:08:15.563405 5918 layer_factory.hpp:77] Creating layer conv6_3
I1017 23:08:15.563431 5918 net.cpp:84] Creating Layer conv6_3
I1017 23:08:15.563454 5918 net.cpp:406] conv6_3 <- conv6_2
I1017 23:08:15.563473 5918 net.cpp:380] conv6_3 -> conv6_3
I1017 23:08:15.572016 5918 net.cpp:122] Setting up conv6_3
I1017 23:08:15.572070 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572093 5918 net.cpp:137] Memory required for data: 258998272
I1017 23:08:15.572116 5918 layer_factory.hpp:77] Creating layer relu6_3
I1017 23:08:15.572154 5918 net.cpp:84] Creating Layer relu6_3
I1017 23:08:15.572185 5918 net.cpp:406] relu6_3 <- conv6_3
I1017 23:08:15.572218 5918 net.cpp:367] relu6_3 -> conv6_3 (in-place)
I1017 23:08:15.572253 5918 net.cpp:122] Setting up relu6_3
I1017 23:08:15.572281 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572314 5918 net.cpp:137] Memory required for data: 261095424
I1017 23:08:15.572342 5918 layer_factory.hpp:77] Creating layer conv6_3norm
I1017 23:08:15.572376 5918 net.cpp:84] Creating Layer conv6_3norm
I1017 23:08:15.572404 5918 net.cpp:406] conv6_3norm <- conv6_3
I1017 23:08:15.572440 5918 net.cpp:380] conv6_3norm -> conv6_3norm
I1017 23:08:15.572494 5918 net.cpp:122] Setting up conv6_3norm
I1017 23:08:15.572510 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572542 5918 net.cpp:137] Memory required for data: 263192576
I1017 23:08:15.572582 5918 layer_factory.hpp:77] Creating layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572615 5918 net.cpp:84] Creating Layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572644 5918 net.cpp:406] conv6_3norm_conv6_3norm_0_split <- conv6_3norm
I1017 23:08:15.572677 5918 net.cpp:380] conv6_3norm_conv6_3norm_0_split -> conv6_3norm_conv6_3norm_0_split_0
I1017 23:08:15.572715 5918 net.cpp:380] conv6_3norm_conv6_3norm_0_split -> conv6_3norm_conv6_3norm_0_split_1
I1017 23:08:15.572752 5918 net.cpp:122] Setting up conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572780 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572814 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572846 5918 net.cpp:137] Memory required for data: 267386880
I1017 23:08:15.572875 5918 layer_factory.hpp:77] Creating layer conv7_1
I1017 23:08:15.572911 5918 net.cpp:84] Creating Layer conv7_1
I1017 23:08:15.572939 5918 net.cpp:406] conv7_1 <- conv6_3norm_conv6_3norm_0_split_0
I1017 23:08:15.572973 5918 net.cpp:380] conv7_1 -> conv7_1
I1017 23:08:15.583376 5918 net.cpp:122] Setting up conv7_1
I1017 23:08:15.583426 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.583443 5918 net.cpp:137] Memory required for data: 269484032
I1017 23:08:15.583462 5918 layer_factory.hpp:77] Creating layer relu7_1
I1017 23:08:15.583479 5918 net.cpp:84] Creating Layer relu7_1
I1017 23:08:15.583515 5918 net.cpp:406] relu7_1 <- conv7_1
I1017 23:08:15.583551 5918 net.cpp:367] relu7_1 -> conv7_1 (in-place)
I1017 23:08:15.583576 5918 net.cpp:122] Setting up relu7_1
I1017 23:08:15.583604 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.583626 5918 net.cpp:137] Memory required for data: 271581184
I1017 23:08:15.583640 5918 layer_factory.hpp:77] Creating layer conv7_2
I1017 23:08:15.583662 5918 net.cpp:84] Creating Layer conv7_2
I1017 23:08:15.583691 5918 net.cpp:406] conv7_2 <- conv7_1
I1017 23:08:15.583712 5918 net.cpp:380] conv7_2 -> conv7_2
I1017 23:08:15.590440 5918 net.cpp:122] Setting up conv7_2
I1017 23:08:15.590520 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.590555 5918 net.cpp:137] Memory required for data: 273678336
I1017 23:08:15.590585 5918 layer_factory.hpp:77] Creating layer relu7_2
I1017 23:08:15.590610 5918 net.cpp:84] Creating Layer relu7_2
I1017 23:08:15.590636 5918 net.cpp:406] relu7_2 <- conv7_2
I1017 23:08:15.590677 5918 net.cpp:367] relu7_2 -> conv7_2 (in-place)
I1017 23:08:15.590715 5918 net.cpp:122] Setting up relu7_2
I1017 23:08:15.590751 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.590790 5918 net.cpp:137] Memory required for data: 275775488
I1017 23:08:15.590823 5918 layer_factory.hpp:77] Creating layer conv7_3
I1017 23:08:15.590847 5918 net.cpp:84] Creating Layer conv7_3
I1017 23:08:15.590878 5918 net.cpp:406] conv7_3 <- conv7_2
I1017 23:08:15.590925 5918 net.cpp:380] conv7_3 -> conv7_3
I1017 23:08:15.597959 5918 net.cpp:122] Setting up conv7_3
I1017 23:08:15.598060 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598083 5918 net.cpp:137] Memory required for data: 277872640
I1017 23:08:15.598111 5918 layer_factory.hpp:77] Creating layer relu7_3
I1017 23:08:15.598139 5918 net.cpp:84] Creating Layer relu7_3
I1017 23:08:15.598171 5918 net.cpp:406] relu7_3 <- conv7_3
I1017 23:08:15.598209 5918 net.cpp:367] relu7_3 -> conv7_3 (in-place)
I1017 23:08:15.598246 5918 net.cpp:122] Setting up relu7_3
I1017 23:08:15.598261 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598294 5918 net.cpp:137] Memory required for data: 279969792
I1017 23:08:15.598309 5918 layer_factory.hpp:77] Creating layer conv7_3norm
I1017 23:08:15.598345 5918 net.cpp:84] Creating Layer conv7_3norm
I1017 23:08:15.598377 5918 net.cpp:406] conv7_3norm <- conv7_3
I1017 23:08:15.598398 5918 net.cpp:380] conv7_3norm -> conv7_3norm
I1017 23:08:15.598457 5918 net.cpp:122] Setting up conv7_3norm
I1017 23:08:15.598502 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598522 5918 net.cpp:137] Memory required for data: 282066944
I1017 23:08:15.598542 5918 layer_factory.hpp:77] Creating layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598557 5918 net.cpp:84] Creating Layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598569 5918 net.cpp:406] conv7_3norm_conv7_3norm_0_split <- conv7_3norm
I1017 23:08:15.598583 5918 net.cpp:380] conv7_3norm_conv7_3norm_0_split -> conv7_3norm_conv7_3norm_0_split_0
I1017 23:08:15.598611 5918 net.cpp:380] conv7_3norm_conv7_3norm_0_split -> conv7_3norm_conv7_3norm_0_split_1
I1017 23:08:15.598631 5918 net.cpp:122] Setting up conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598641 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598667 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598682 5918 net.cpp:137] Memory required for data: 286261248
I1017 23:08:15.598692 5918 layer_factory.hpp:77] Creating layer conv8_1
I1017 23:08:15.598711 5918 net.cpp:84] Creating Layer conv8_1
I1017 23:08:15.598721 5918 net.cpp:406] conv8_1 <- conv7_3norm_conv7_3norm_0_split_0
I1017 23:08:15.598737 5918 net.cpp:380] conv8_1 -> conv8_1
I1017 23:08:15.606047 5918 net.cpp:122] Setting up conv8_1
I1017 23:08:15.606110 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.606128 5918 net.cpp:137] Memory required for data: 290455552
I1017 23:08:15.606153 5918 layer_factory.hpp:77] Creating layer conv3_3_short
I1017 23:08:15.606174 5918 net.cpp:84] Creating Layer conv3_3_short
I1017 23:08:15.606186 5918 net.cpp:406] conv3_3_short <- conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:15.606202 5918 net.cpp:380] conv3_3_short -> conv3_3_short
I1017 23:08:15.616171 5918 net.cpp:122] Setting up conv3_3_short
I1017 23:08:15.616231 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616250 5918 net.cpp:137] Memory required for data: 294649856
I1017 23:08:15.616273 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:15.616297 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:15.616333 5918 net.cpp:406] conv8_1_comb <- conv8_1
I1017 23:08:15.616351 5918 net.cpp:406] conv8_1_comb <- conv3_3_short
I1017 23:08:15.616369 5918 net.cpp:380] conv8_1_comb -> conv8_1_comb
I1017 23:08:15.616395 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:15.616410 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616430 5918 net.cpp:137] Memory required for data: 298844160
I1017 23:08:15.616449 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:15.616469 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:15.616518 5918 net.cpp:406] conv8_1_comb <- conv8_1_comb
I1017 23:08:15.616539 5918 net.cpp:367] conv8_1_comb -> conv8_1_comb (in-place)
I1017 23:08:15.616564 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:15.616600 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616621 5918 net.cpp:137] Memory required for data: 303038464
I1017 23:08:15.616653 5918 layer_factory.hpp:77] Creating layer conv8_2
I1017 23:08:15.616695 5918 net.cpp:84] Creating Layer conv8_2
I1017 23:08:15.616729 5918 net.cpp:406] conv8_2 <- conv8_1_comb
I1017 23:08:15.616770 5918 net.cpp:380] conv8_2 -> conv8_2
I1017 23:08:15.619094 5918 net.cpp:122] Setting up conv8_2
I1017 23:08:15.619138 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.619154 5918 net.cpp:137] Memory required for data: 307232768
I1017 23:08:15.619190 5918 layer_factory.hpp:77] Creating layer relu8_2
I1017 23:08:15.619227 5918 net.cpp:84] Creating Layer relu8_2
I1017 23:08:15.619261 5918 net.cpp:406] relu8_2 <- conv8_2
I1017 23:08:15.619285 5918 net.cpp:367] relu8_2 -> conv8_2 (in-place)
I1017 23:08:15.619313 5918 net.cpp:122] Setting up relu8_2
I1017 23:08:15.619336 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.619357 5918 net.cpp:137] Memory required for data: 311427072
I1017 23:08:15.619387 5918 layer_factory.hpp:77] Creating layer conv8_3
I1017 23:08:15.619438 5918 net.cpp:84] Creating Layer conv8_3
I1017 23:08:15.619457 5918 net.cpp:406] conv8_3 <- conv8_2
I1017 23:08:15.619472 5918 net.cpp:380] conv8_3 -> conv8_3
I1017 23:08:15.621006 5918 net.cpp:122] Setting up conv8_3
I1017 23:08:15.621042 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621058 5918 net.cpp:137] Memory required for data: 315621376
I1017 23:08:15.621091 5918 layer_factory.hpp:77] Creating layer relu8_3
I1017 23:08:15.621129 5918 net.cpp:84] Creating Layer relu8_3
I1017 23:08:15.621161 5918 net.cpp:406] relu8_3 <- conv8_3
I1017 23:08:15.621212 5918 net.cpp:367] relu8_3 -> conv8_3 (in-place)
I1017 23:08:15.621235 5918 net.cpp:122] Setting up relu8_3
I1017 23:08:15.621245 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621292 5918 net.cpp:137] Memory required for data: 319815680
I1017 23:08:15.621306 5918 layer_factory.hpp:77] Creating layer conv8_3norm
I1017 23:08:15.621321 5918 net.cpp:84] Creating Layer conv8_3norm
I1017 23:08:15.621348 5918 net.cpp:406] conv8_3norm <- conv8_3
I1017 23:08:15.621398 5918 net.cpp:380] conv8_3norm -> conv8_3norm
I1017 23:08:15.621493 5918 net.cpp:122] Setting up conv8_3norm
I1017 23:08:15.621546 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621567 5918 net.cpp:137] Memory required for data: 324009984
I1017 23:08:15.621613 5918 layer_factory.hpp:77] Creating layer conv3_pred
I1017 23:08:15.621649 5918 net.cpp:84] Creating Layer conv3_pred
I1017 23:08:15.621667 5918 net.cpp:406] conv3_pred <- conv3_3norm_conv3_3norm_0_split_2
I1017 23:08:15.621687 5918 net.cpp:380] conv3_pred -> conv3_pred
I1017 23:08:15.633955 5918 net.cpp:122] Setting up conv3_pred
I1017 23:08:15.634009 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.634032 5918 net.cpp:137] Memory required for data: 330301440
I1017 23:08:15.634058 5918 layer_factory.hpp:77] Creating layer conv4_pred
I1017 23:08:15.634096 5918 net.cpp:84] Creating Layer conv4_pred
I1017 23:08:15.634129 5918 net.cpp:406] conv4_pred <- conv4_3norm_conv4_3norm_0_split_1
I1017 23:08:15.634153 5918 net.cpp:380] conv4_pred -> conv4_pred
I1017 23:08:15.686550 5918 net.cpp:122] Setting up conv4_pred
I1017 23:08:15.686623 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.686653 5918 net.cpp:137] Memory required for data: 336592896
I1017 23:08:15.686682 5918 layer_factory.hpp:77] Creating layer conv5_pred
I1017 23:08:15.686709 5918 net.cpp:84] Creating Layer conv5_pred
I1017 23:08:15.686738 5918 net.cpp:406] conv5_pred <- conv5_3norm_conv5_3norm_0_split_1
I1017 23:08:15.686750 5918 net.cpp:380] conv5_pred -> conv5_pred
I1017 23:08:15.731776 5918 net.cpp:122] Setting up conv5_pred
I1017 23:08:15.731832 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.731849 5918 net.cpp:137] Memory required for data: 342884352
I1017 23:08:15.731866 5918 layer_factory.hpp:77] Creating layer conv6_pred
I1017 23:08:15.731910 5918 net.cpp:84] Creating Layer conv6_pred
I1017 23:08:15.731936 5918 net.cpp:406] conv6_pred <- conv6_3norm_conv6_3norm_0_split_1
I1017 23:08:15.731984 5918 net.cpp:380] conv6_pred -> conv6_pred
I1017 23:08:15.793722 5918 net.cpp:122] Setting up conv6_pred
I1017 23:08:15.793926 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.793967 5918 net.cpp:137] Memory required for data: 349175808
I1017 23:08:15.793995 5918 layer_factory.hpp:77] Creating layer conv7_pred
I1017 23:08:15.794035 5918 net.cpp:84] Creating Layer conv7_pred
I1017 23:08:15.794050 5918 net.cpp:406] conv7_pred <- conv7_3norm_conv7_3norm_0_split_1
I1017 23:08:15.794070 5918 net.cpp:380] conv7_pred -> conv7_pred
I1017 23:08:15.848439 5918 net.cpp:122] Setting up conv7_pred
I1017 23:08:15.848496 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.848541 5918 net.cpp:137] Memory required for data: 355467264
I1017 23:08:15.848587 5918 layer_factory.hpp:77] Creating layer conv8_pred
I1017 23:08:15.848616 5918 net.cpp:84] Creating Layer conv8_pred
I1017 23:08:15.848682 5918 net.cpp:406] conv8_pred <- conv8_3norm
I1017 23:08:15.848714 5918 net.cpp:380] conv8_pred -> conv8_pred
I1017 23:08:15.867234 5918 net.cpp:122] Setting up conv8_pred
I1017 23:08:15.867287 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867343 5918 net.cpp:137] Memory required for data: 361758720
I1017 23:08:15.867384 5918 layer_factory.hpp:77] Creating layer conv345678_pred
I1017 23:08:15.867424 5918 net.cpp:84] Creating Layer conv345678_pred
I1017 23:08:15.867456 5918 net.cpp:406] conv345678_pred <- conv3_pred
I1017 23:08:15.867475 5918 net.cpp:406] conv345678_pred <- conv4_pred
I1017 23:08:15.867506 5918 net.cpp:406] conv345678_pred <- conv5_pred
I1017 23:08:15.867523 5918 net.cpp:406] conv345678_pred <- conv6_pred
I1017 23:08:15.867554 5918 net.cpp:406] conv345678_pred <- conv7_pred
I1017 23:08:15.867570 5918 net.cpp:406] conv345678_pred <- conv8_pred
I1017 23:08:15.867605 5918 net.cpp:380] conv345678_pred -> conv345678_pred
I1017 23:08:15.867647 5918 net.cpp:122] Setting up conv345678_pred
I1017 23:08:15.867677 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867714 5918 net.cpp:137] Memory required for data: 368050176
I1017 23:08:15.867730 5918 layer_factory.hpp:77] Creating layer relu345678_pred
I1017 23:08:15.867763 5918 net.cpp:84] Creating Layer relu345678_pred
I1017 23:08:15.867779 5918 net.cpp:406] relu345678_pred <- conv345678_pred
I1017 23:08:15.867811 5918 net.cpp:367] relu345678_pred -> conv345678_pred (in-place)
I1017 23:08:15.867830 5918 net.cpp:122] Setting up relu345678_pred
I1017 23:08:15.867861 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867895 5918 net.cpp:137] Memory required for data: 374341632
I1017 23:08:15.867928 5918 layer_factory.hpp:77] Creating layer pred_313
I1017 23:08:15.867964 5918 net.cpp:84] Creating Layer pred_313
I1017 23:08:15.867982 5918 net.cpp:406] pred_313 <- conv345678_pred
I1017 23:08:15.868000 5918 net.cpp:380] pred_313 -> pred_313
I1017 23:08:15.868234 5918 net.cpp:122] Setting up pred_313
I1017 23:08:15.868266 5918 net.cpp:129] Top shape: 1 313 64 64 (1282048)
I1017 23:08:15.868304 5918 net.cpp:137] Memory required for data: 379469824
I1017 23:08:15.868340 5918 layer_factory.hpp:77] Creating layer pred_313_us
I1017 23:08:15.868377 5918 net.cpp:84] Creating Layer pred_313_us
I1017 23:08:15.868409 5918 net.cpp:406] pred_313_us <- pred_313
I1017 23:08:15.868445 5918 net.cpp:380] pred_313_us -> pred_313_us
I1017 23:08:15.868505 5918 net.cpp:122] Setting up pred_313_us
I1017 23:08:15.868536 5918 net.cpp:129] Top shape: 1 313 128 128 (5128192)
I1017 23:08:15.868572 5918 net.cpp:137] Memory required for data: 399982592
I1017 23:08:15.868605 5918 layer_factory.hpp:77] Creating layer pred_313_rs
I1017 23:08:15.868641 5918 net.cpp:84] Creating Layer pred_313_rs
I1017 23:08:15.868672 5918 net.cpp:406] pred_313_rs <- pred_313_us
I1017 23:08:15.868708 5918 net.cpp:380] pred_313_rs -> pred_313_rs
I1017 23:08:15.868765 5918 net.cpp:122] Setting up pred_313_rs
I1017 23:08:15.868782 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.868816 5918 net.cpp:137] Memory required for data: 482033664
I1017 23:08:15.868849 5918 net.cpp:465] Sharing parameters 'kern_us' owned by layer 'pred_313_us', param index 0
I1017 23:08:15.868880 5918 layer_factory.hpp:77] Creating layer pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.868916 5918 net.cpp:84] Creating Layer pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.868947 5918 net.cpp:406] pred_313_rs_pred_313_rs_0_split <- pred_313_rs
I1017 23:08:15.868983 5918 net.cpp:380] pred_313_rs_pred_313_rs_0_split -> pred_313_rs_pred_313_rs_0_split_0
I1017 23:08:15.869022 5918 net.cpp:380] pred_313_rs_pred_313_rs_0_split -> pred_313_rs_pred_313_rs_0_split_1
I1017 23:08:15.869062 5918 net.cpp:122] Setting up pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.869093 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869129 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869164 5918 net.cpp:137] Memory required for data: 646135808
I1017 23:08:15.869195 5918 layer_factory.hpp:77] Creating layer scale_S
I1017 23:08:15.869231 5918 net.cpp:84] Creating Layer scale_S
I1017 23:08:15.869263 5918 net.cpp:406] scale_S <- pred_313_rs_pred_313_rs_0_split_0
I1017 23:08:15.869299 5918 net.cpp:380] scale_S -> scale_S
I1017 23:08:15.869447 5918 net.cpp:122] Setting up scale_S
I1017 23:08:15.869480 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869516 5918 net.cpp:137] Memory required for data: 728186880
I1017 23:08:15.869550 5918 layer_factory.hpp:77] Creating layer dist_ab_S
I1017 23:08:15.869585 5918 net.cpp:84] Creating Layer dist_ab_S
I1017 23:08:15.869617 5918 net.cpp:406] dist_ab_S <- scale_S
I1017 23:08:15.869652 5918 net.cpp:380] dist_ab_S -> dist_ab_S
I1017 23:08:15.869696 5918 net.cpp:122] Setting up dist_ab_S
I1017 23:08:15.869729 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869765 5918 net.cpp:137] Memory required for data: 810237952
I1017 23:08:15.869810 5918 layer_factory.hpp:77] Creating layer scale_T
I1017 23:08:15.869846 5918 net.cpp:84] Creating Layer scale_T
I1017 23:08:15.869879 5918 net.cpp:406] scale_T <- pred_313_rs_pred_313_rs_0_split_1
I1017 23:08:15.869915 5918 net.cpp:380] scale_T -> scale_T
I1017 23:08:15.870177 5918 net.cpp:122] Setting up scale_T
I1017 23:08:15.870208 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.870244 5918 net.cpp:137] Memory required for data: 892289024
I1017 23:08:15.870280 5918 layer_factory.hpp:77] Creating layer dist_ab
I1017 23:08:15.870314 5918 net.cpp:84] Creating Layer dist_ab
I1017 23:08:15.870345 5918 net.cpp:406] dist_ab <- scale_T
I1017 23:08:15.870380 5918 net.cpp:380] dist_ab -> dist_ab_T
I1017 23:08:15.870420 5918 net.cpp:122] Setting up dist_ab
I1017 23:08:15.870451 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.870487 5918 net.cpp:137] Memory required for data: 974340096
I1017 23:08:15.870518 5918 layer_factory.hpp:77] Creating layer pred_ab
I1017 23:08:15.870553 5918 net.cpp:84] Creating Layer pred_ab
I1017 23:08:15.870585 5918 net.cpp:406] pred_ab <- dist_ab_T
I1017 23:08:15.870621 5918 net.cpp:380] pred_ab -> pred_ab
I1017 23:08:15.870883 5918 net.cpp:122] Setting up pred_ab
I1017 23:08:15.870914 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.870950 5918 net.cpp:137] Memory required for data: 974864384
I1017 23:08:15.870988 5918 net.cpp:200] pred_ab does not need backward computation.
I1017 23:08:15.871021 5918 net.cpp:200] dist_ab does not need backward computation.
I1017 23:08:15.871052 5918 net.cpp:200] scale_T does not need backward computation.
I1017 23:08:15.871084 5918 net.cpp:200] dist_ab_S does not need backward computation.
I1017 23:08:15.871116 5918 net.cpp:200] scale_S does not need backward computation.
I1017 23:08:15.871148 5918 net.cpp:200] pred_313_rs_pred_313_rs_0_split does not need backward computation.
I1017 23:08:15.871181 5918 net.cpp:200] pred_313_rs does not need backward computation.
I1017 23:08:15.871213 5918 net.cpp:200] pred_313_us does not need backward computation.
I1017 23:08:15.871245 5918 net.cpp:200] pred_313 does not need backward computation.
I1017 23:08:15.871278 5918 net.cpp:200] relu345678_pred does not need backward computation.
I1017 23:08:15.871309 5918 net.cpp:200] conv345678_pred does not need backward computation.
I1017 23:08:15.871345 5918 net.cpp:200] conv8_pred does not need backward computation.
I1017 23:08:15.871377 5918 net.cpp:200] conv7_pred does not need backward computation.
I1017 23:08:15.871409 5918 net.cpp:200] conv6_pred does not need backward computation.
I1017 23:08:15.871443 5918 net.cpp:200] conv5_pred does not need backward computation.
I1017 23:08:15.871475 5918 net.cpp:200] conv4_pred does not need backward computation.
I1017 23:08:15.871507 5918 net.cpp:200] conv3_pred does not need backward computation.
I1017 23:08:15.871541 5918 net.cpp:200] conv8_3norm does not need backward computation.
I1017 23:08:15.871573 5918 net.cpp:200] relu8_3 does not need backward computation.
I1017 23:08:15.871605 5918 net.cpp:200] conv8_3 does not need backward computation.
I1017 23:08:15.871637 5918 net.cpp:200] relu8_2 does not need backward computation.
I1017 23:08:15.871670 5918 net.cpp:200] conv8_2 does not need backward computation.
I1017 23:08:15.871702 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.871734 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.871767 5918 net.cpp:200] conv3_3_short does not need backward computation.
I1017 23:08:15.871800 5918 net.cpp:200] conv8_1 does not need backward computation.
I1017 23:08:15.872253 5918 net.cpp:200] conv7_3norm_conv7_3norm_0_split does not need backward computation.
I1017 23:08:15.872287 5918 net.cpp:200] conv7_3norm does not need backward computation.
I1017 23:08:15.872319 5918 net.cpp:200] relu7_3 does not need backward computation.
I1017 23:08:15.872351 5918 net.cpp:200] conv7_3 does not need backward computation.
I1017 23:08:15.872385 5918 net.cpp:200] relu7_2 does not need backward computation.
I1017 23:08:15.872416 5918 net.cpp:200] conv7_2 does not need backward computation.
I1017 23:08:15.872433 5918 net.cpp:200] relu7_1 does not need backward computation.
I1017 23:08:15.872447 5918 net.cpp:200] conv7_1 does not need backward computation.
I1017 23:08:15.872462 5918 net.cpp:200] conv6_3norm_conv6_3norm_0_split does not need backward computation.
I1017 23:08:15.872478 5918 net.cpp:200] conv6_3norm does not need backward computation.
I1017 23:08:15.872493 5918 net.cpp:200] relu6_3 does not need backward computation.
I1017 23:08:15.872506 5918 net.cpp:200] conv6_3 does not need backward computation.
I1017 23:08:15.872520 5918 net.cpp:200] relu6_2 does not need backward computation.
I1017 23:08:15.872534 5918 net.cpp:200] conv6_2 does not need backward computation.
I1017 23:08:15.872566 5918 net.cpp:200] relu6_1 does not need backward computation.
I1017 23:08:15.872599 5918 net.cpp:200] conv6_1 does not need backward computation.
I1017 23:08:15.872634 5918 net.cpp:200] conv5_3norm_conv5_3norm_0_split does not need backward computation.
I1017 23:08:15.872669 5918 net.cpp:200] conv5_3norm does not need backward computation.
I1017 23:08:15.872702 5918 net.cpp:200] relu5_3 does not need backward computation.
I1017 23:08:15.872735 5918 net.cpp:200] conv5_3 does not need backward computation.
I1017 23:08:15.872768 5918 net.cpp:200] relu5_2 does not need backward computation.
I1017 23:08:15.872802 5918 net.cpp:200] conv5_2 does not need backward computation.
I1017 23:08:15.872834 5918 net.cpp:200] relu5_1 does not need backward computation.
I1017 23:08:15.872864 5918 net.cpp:200] conv5_1 does not need backward computation.
I1017 23:08:15.872897 5918 net.cpp:200] conv4_3norm_conv4_3norm_0_split does not need backward computation.
I1017 23:08:15.872929 5918 net.cpp:200] conv4_3norm does not need backward computation.
I1017 23:08:15.872961 5918 net.cpp:200] relu4_3 does not need backward computation.
I1017 23:08:15.872993 5918 net.cpp:200] conv4_3 does not need backward computation.
I1017 23:08:15.873024 5918 net.cpp:200] relu4_2 does not need backward computation.
I1017 23:08:15.873056 5918 net.cpp:200] conv4_2 does not need backward computation.
I1017 23:08:15.873087 5918 net.cpp:200] relu4_1 does not need backward computation.
I1017 23:08:15.873119 5918 net.cpp:200] conv4_1 does not need backward computation.
I1017 23:08:15.873150 5918 net.cpp:200] conv3_3norm_ss does not need backward computation.
I1017 23:08:15.873184 5918 net.cpp:200] conv3_3norm_conv3_3norm_0_split does not need backward computation.
I1017 23:08:15.873216 5918 net.cpp:200] conv3_3norm does not need backward computation.
I1017 23:08:15.873347 5918 net.cpp:200] relu3_3 does not need backward computation.
I1017 23:08:15.873378 5918 net.cpp:200] conv3_3 does not need backward computation.
I1017 23:08:15.873410 5918 net.cpp:200] relu3_2 does not need backward computation.
I1017 23:08:15.873441 5918 net.cpp:200] conv3_2 does not need backward computation.
I1017 23:08:15.873473 5918 net.cpp:200] relu3_1 does not need backward computation.
I1017 23:08:15.873507 5918 net.cpp:200] conv3_1 does not need backward computation.
I1017 23:08:15.873539 5918 net.cpp:200] conv2_2norm_ss does not need backward computation.
I1017 23:08:15.873571 5918 net.cpp:200] conv2_2norm does not need backward computation.
I1017 23:08:15.873636 5918 net.cpp:200] relu2_2 does not need backward computation.
I1017 23:08:15.873667 5918 net.cpp:200] conv2_2 does not need backward computation.
I1017 23:08:15.873699 5918 net.cpp:200] relu2_1 does not need backward computation.
I1017 23:08:15.873730 5918 net.cpp:200] conv2_1 does not need backward computation.
I1017 23:08:15.873762 5918 net.cpp:200] conv1_2norm_ss does not need backward computation.
I1017 23:08:15.873811 5918 net.cpp:200] conv1_2norm does not need backward computation.
I1017 23:08:15.873843 5918 net.cpp:200] relu1_2 does not need backward computation.
I1017 23:08:15.873875 5918 net.cpp:200] conv1_2 does not need backward computation.
I1017 23:08:15.873942 5918 net.cpp:200] relu1_1 does not need backward computation.
I1017 23:08:15.873973 5918 net.cpp:200] conv1_1 does not need backward computation.
I1017 23:08:15.874007 5918 net.cpp:200] bw_conv1_1 does not need backward computation.
I1017 23:08:15.874040 5918 net.cpp:200] ab_conv1_1 does not need backward computation.
I1017 23:08:15.874073 5918 net.cpp:200] Slice does not need backward computation.
I1017 23:08:15.874105 5918 net.cpp:200] data_l_ab_mask does not need backward computation.
I1017 23:08:15.874135 5918 net.cpp:242] This network produces output dist_ab_S
I1017 23:08:15.874168 5918 net.cpp:242] This network produces output pred_ab
I1017 23:08:15.874316 5918 net.cpp:255] Network initialization done.
I1017 23:08:16.960096 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/model.caffemodel
I1017 23:08:16.960180 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:16.960192 5918 net.cpp:744] Ignoring source layer img
I1017 23:08:16.960202 5918 net.cpp:744] Ignoring source layer img_lab
I1017 23:08:16.960211 5918 net.cpp:744] Ignoring source layer img_slice
I1017 23:08:16.960220 5918 net.cpp:744] Ignoring source layer data_ab_img_slice_1_split
I1017 23:08:16.960258 5918 net.cpp:744] Ignoring source layer data_l_meansub
I1017 23:08:16.960288 5918 net.cpp:744] Ignoring source layer data_ab_mask
I1017 23:08:16.960366 5918 net.cpp:744] Ignoring source layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:16.960685 5918 net.cpp:744] Ignoring source layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:16.996033 5918 net.cpp:744] Ignoring source layer conv8_3norm_conv8_3norm_0_split
I1017 23:08:16.996099 5918 net.cpp:744] Ignoring source layer conv9_1
I1017 23:08:16.996112 5918 net.cpp:744] Ignoring source layer conv2_2_short
I1017 23:08:16.996125 5918 net.cpp:744] Ignoring source layer conv9_1_comb
I1017 23:08:16.996139 5918 net.cpp:744] Ignoring source layer relu9_1_comb
I1017 23:08:16.996170 5918 net.cpp:744] Ignoring source layer conv9_2
I1017 23:08:16.996188 5918 net.cpp:744] Ignoring source layer relu9_2
I1017 23:08:16.996201 5918 net.cpp:744] Ignoring source layer conv9_2norm
I1017 23:08:16.996228 5918 net.cpp:744] Ignoring source layer conv10_1
I1017 23:08:16.996258 5918 net.cpp:744] Ignoring source layer conv1_2_short
I1017 23:08:16.996286 5918 net.cpp:744] Ignoring source layer conv10_1_comb
I1017 23:08:16.996315 5918 net.cpp:744] Ignoring source layer relu10_1_comb
I1017 23:08:16.996343 5918 net.cpp:744] Ignoring source layer conv10_2
I1017 23:08:16.996373 5918 net.cpp:744] Ignoring source layer relu10_2
I1017 23:08:16.996402 5918 net.cpp:744] Ignoring source layer conv10_ab
I1017 23:08:16.996429 5918 net.cpp:744] Ignoring source layer pred_ab_1
I1017 23:08:16.996457 5918 net.cpp:744] Ignoring source layer pred_ab_2
I1017 23:08:16.996489 5918 net.cpp:744] Ignoring source layer loss_ab
I1017 23:08:16.996516 5918 net.cpp:744] Ignoring source layer loss_ab_loss_ab_0_split
I1017 23:08:16.996546 5918 net.cpp:744] Ignoring source layer data_ab_rs
I1017 23:08:16.996573 5918 net.cpp:744] Ignoring source layer gt_ab_313
I1017 23:08:17.013119 5918 net.cpp:744] Ignoring source layer SoftmaxLossPred
I1017 23:08:17.013176 5918 net.cpp:744] Ignoring source layer loss_class_SoftmaxLossPred_0_split
I1017 23:08:17.013182 5918 net.cpp:744] Ignoring source layer loss_log
Setting ab cluster centers in layer: pred_ab
Setting upsampling layer kernel: pred_313_us
b'test_imgs/mortar_pestle.jpg'
Traceback (most recent call last):
File "ideepcolor.py", line 78, in
Benitoite
commented
5 years ago I noticed using python3 it works if you get rid of the encode('utf-8')codes as I did here:
https://github.com/Benitoite/interactive-deep-colorization/commit/75c5d770294c554a47a41e7e292ff72603970347
fahriy
commented
5 years ago fago@fago-virtual-machine:~/ideecolor/interactive-deep-colorization-master$ python3 ideepcolor.py --cpu_mode
[win_size] = 512
[image_file] = test_imgs/mortar_pestle.jpg
[gpu] = 0
[cpu_mode] = True
[color_prototxt] = ./models/reference_model/deploy_nodist.prototxt
[color_caffemodel] = ./models/reference_model/model.caffemodel
[dist_prototxt] = ./models/reference_model/deploy_nopred.prototxt
[dist_caffemodel] = ./models/reference_model/model.caffemodel
[color_model] = ./models/pytorch/model.pth
[backend] = caffe
[load_size] = 256
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nodist.prototxt, model_path = ./models/reference_model/model.caffemodel
WARNING: Logging before InitGoogleLogging() is written to STDERR
W1017 23:08:14.858825 5918 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W1017 23:08:14.858896 5918 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W1017 23:08:14.858912 5918 _caffe.cpp:142] Net('./models/reference_model/deploy_nodist.prototxt', 1, weights='./models/reference_model/model.caffemodel')
I1017 23:08:14.860596 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/deploy_nodist.prototxt
I1017 23:08:14.860669 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:14.860877 5918 net.cpp:51] Initializing net from parameters:
state {
phase: TEST
level: 0
}
layer {
name: "data_l_ab_mask"
type: "Input"
top: "data_l_ab_mask"
input_param {
shape {
dim: 1
dim: 4
dim: 256
dim: 256
}
}
}
layer {
name: "Slice"
type: "Slice"
bottom: "data_l_ab_mask"
top: "data_l"
top: "data_ab_mask"
slice_param {
slice_point: 1
axis: 1
}
}
layer {
name: "ab_conv1_1"
type: "Convolution"
bottom: "data_ab_mask"
top: "ab_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "bw_conv1_1"
type: "Convolution"
bottom: "data_l"
top: "bw_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "conv1_1"
type: "Eltwise"
bottom: "bw_conv1_1"
bottom: "ab_conv1_1"
top: "conv1_1"
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "conv1_2norm"
type: "BatchNorm"
bottom: "conv1_2"
top: "conv1_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv1_2norm_ss"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
group: 64
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "conv1_2norm_ss"
top: "conv2_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_2norm"
type: "BatchNorm"
bottom: "conv2_2"
top: "conv2_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv2_2norm_ss"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
group: 128
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "conv2_2norm_ss"
top: "conv3_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_3norm"
type: "BatchNorm"
bottom: "conv3_3"
top: "conv3_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_3norm_ss"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
group: 256
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "conv3_3norm_ss"
top: "conv4_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_3norm"
type: "BatchNorm"
bottom: "conv4_3"
top: "conv4_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "conv4_3norm"
top: "conv5_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "conv5_3norm"
type: "BatchNorm"
bottom: "conv5_3"
top: "conv5_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv6_1"
type: "Convolution"
bottom: "conv5_3norm"
top: "conv6_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_1"
type: "ReLU"
bottom: "conv6_1"
top: "conv6_1"
}
layer {
name: "conv6_2"
type: "Convolution"
bottom: "conv6_1"
top: "conv6_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_2"
type: "ReLU"
bottom: "conv6_2"
top: "conv6_2"
}
layer {
name: "conv6_3"
type: "Convolution"
bottom: "conv6_2"
top: "conv6_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_3"
type: "ReLU"
bottom: "conv6_3"
top: "conv6_3"
}
layer {
name: "conv6_3norm"
type: "BatchNorm"
bottom: "conv6_3"
top: "conv6_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv7_1"
type: "Convolution"
bottom: "conv6_3norm"
top: "conv7_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_1"
type: "ReLU"
bottom: "conv7_1"
top: "conv7_1"
}
layer {
name: "conv7_2"
type: "Convolution"
bottom: "conv7_1"
top: "conv7_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_2"
type: "ReLU"
bottom: "conv7_2"
top: "conv7_2"
}
layer {
name: "conv7_3"
type: "Convolution"
bottom: "conv7_2"
top: "conv7_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_3"
type: "ReLU"
bottom: "conv7_3"
top: "conv7_3"
}
layer {
name: "conv7_3norm"
type: "BatchNorm"
bottom: "conv7_3"
top: "conv7_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv8_1"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv8_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 4
stride: 2
dilation: 1
}
}
layer {
name: "conv3_3_short"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3_short"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv8_1_comb"
type: "Eltwise"
bottom: "conv8_1"
bottom: "conv3_3_short"
top: "conv8_1_comb"
}
layer {
name: "conv8_1_comb"
type: "ReLU"
bottom: "conv8_1_comb"
top: "conv8_1_comb"
}
layer {
name: "conv8_2"
type: "Convolution"
bottom: "conv8_1_comb"
top: "conv8_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_2"
type: "ReLU"
bottom: "conv8_2"
top: "conv8_2"
}
layer {
name: "conv8_3"
type: "Convolution"
bottom: "conv8_2"
top: "conv8_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_3"
type: "ReLU"
bottom: "conv8_3"
top: "conv8_3"
}
layer {
name: "conv8_3norm"
type: "BatchNorm"
bottom: "conv8_3"
top: "conv8_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv9_1"
type: "Deconvolution"
bottom: "conv8_3norm"
top: "conv9_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv2_2_short"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2_short"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv9_1_comb"
type: "Eltwise"
bottom: "conv9_1"
bottom: "conv2_2_short"
top: "conv9_1_comb"
}
layer {
name: "relu9_1_comb"
type: "ReLU"
bottom: "conv9_1_comb"
top: "conv9_1_comb"
}
layer {
name: "conv9_2"
type: "Convolution"
bottom: "conv9_1_comb"
top: "conv9_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "relu9_2"
type: "ReLU"
bottom: "conv9_2"
top: "conv9_2"
}
layer {
name: "conv9_2norm"
type: "BatchNorm"
bottom: "conv9_2"
top: "conv9_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv10_1"
type: "Deconvolution"
bottom: "conv9_2norm"
top: "conv10_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv1_2_short"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2_short"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv10_1_comb"
type: "Eltwise"
bottom: "conv10_1"
bottom: "conv1_2_short"
top: "conv10_1_comb"
}
layer {
name: "relu10_1_comb"
type: "ReLU"
bottom: "conv10_1_comb"
top: "conv10_1_comb"
}
layer {
name: "conv10_2"
type: "Convolution"
bottom: "conv10_1_comb"
top: "conv10_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "relu10_2"
type: "ReLU"
bottom: "conv10_2"
top: "conv10_2"
relu_param {
negative_slope: 0.2
}
}
layer {
name: "conv10_ab"
type: "Convolution"
bottom: "conv10_2"
top: "conv10_ab"
convolution_param {
num_output: 2
kernel_size: 1
stride: 1
dilation: 1
}
}
layer {
name: "pred_ab_1"
type: "TanH"
bottom: "conv10_ab"
top: "pred_ab_1"
}
layer {
name: "pred_ab"
type: "Scale"
bottom: "pred_ab_1"
top: "pred_ab"
param {
lr_mult: 0
decay_mult: 0
}
scale_param {
filler {
type: "constant"
value: 100
}
bias_term: false
}
}
I1017 23:08:14.863397 5918 layer_factory.hpp:77] Creating layer data_l_ab_mask
I1017 23:08:14.863447 5918 net.cpp:84] Creating Layer data_l_ab_mask
I1017 23:08:14.863464 5918 net.cpp:380] data_l_ab_mask -> data_l_ab_mask
I1017 23:08:14.863500 5918 net.cpp:122] Setting up data_l_ab_mask
I1017 23:08:14.863538 5918 net.cpp:129] Top shape: 1 4 256 256 (262144)
I1017 23:08:14.863554 5918 net.cpp:137] Memory required for data: 1048576
I1017 23:08:14.863574 5918 layer_factory.hpp:77] Creating layer Slice
I1017 23:08:14.863602 5918 net.cpp:84] Creating Layer Slice
I1017 23:08:14.863615 5918 net.cpp:406] Slice <- data_l_ab_mask
I1017 23:08:14.863629 5918 net.cpp:380] Slice -> data_l
I1017 23:08:14.863657 5918 net.cpp:380] Slice -> data_ab_mask
I1017 23:08:14.863678 5918 net.cpp:122] Setting up Slice
I1017 23:08:14.863703 5918 net.cpp:129] Top shape: 1 1 256 256 (65536)
I1017 23:08:14.863719 5918 net.cpp:129] Top shape: 1 3 256 256 (196608)
I1017 23:08:14.863734 5918 net.cpp:137] Memory required for data: 2097152
I1017 23:08:14.863746 5918 layer_factory.hpp:77] Creating layer ab_conv1_1
I1017 23:08:14.863775 5918 net.cpp:84] Creating Layer ab_conv1_1
I1017 23:08:14.863812 5918 net.cpp:406] ab_conv1_1 <- data_ab_mask
I1017 23:08:14.863827 5918 net.cpp:380] ab_conv1_1 -> ab_conv1_1
I1017 23:08:14.864332 5918 net.cpp:122] Setting up ab_conv1_1
I1017 23:08:14.864375 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864390 5918 net.cpp:137] Memory required for data: 18874368
I1017 23:08:14.864416 5918 layer_factory.hpp:77] Creating layer bw_conv1_1
I1017 23:08:14.864450 5918 net.cpp:84] Creating Layer bw_conv1_1
I1017 23:08:14.864462 5918 net.cpp:406] bw_conv1_1 <- data_l
I1017 23:08:14.864478 5918 net.cpp:380] bw_conv1_1 -> bw_conv1_1
I1017 23:08:14.864687 5918 net.cpp:122] Setting up bw_conv1_1
I1017 23:08:14.864737 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864751 5918 net.cpp:137] Memory required for data: 35651584
I1017 23:08:14.864768 5918 layer_factory.hpp:77] Creating layer conv1_1
I1017 23:08:14.864786 5918 net.cpp:84] Creating Layer conv1_1
I1017 23:08:14.864799 5918 net.cpp:406] conv1_1 <- bw_conv1_1
I1017 23:08:14.864809 5918 net.cpp:406] conv1_1 <- ab_conv1_1
I1017 23:08:14.864823 5918 net.cpp:380] conv1_1 -> conv1_1
I1017 23:08:14.864872 5918 net.cpp:122] Setting up conv1_1
I1017 23:08:14.864912 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.864926 5918 net.cpp:137] Memory required for data: 52428800
I1017 23:08:14.864936 5918 layer_factory.hpp:77] Creating layer relu1_1
I1017 23:08:14.864969 5918 net.cpp:84] Creating Layer relu1_1
I1017 23:08:14.864994 5918 net.cpp:406] relu1_1 <- conv1_1
I1017 23:08:14.865020 5918 net.cpp:367] relu1_1 -> conv1_1 (in-place)
I1017 23:08:14.865048 5918 net.cpp:122] Setting up relu1_1
I1017 23:08:14.865059 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865072 5918 net.cpp:137] Memory required for data: 69206016
I1017 23:08:14.865082 5918 layer_factory.hpp:77] Creating layer conv1_2
I1017 23:08:14.865099 5918 net.cpp:84] Creating Layer conv1_2
I1017 23:08:14.865111 5918 net.cpp:406] conv1_2 <- conv1_1
I1017 23:08:14.865128 5918 net.cpp:380] conv1_2 -> conv1_2
I1017 23:08:14.865512 5918 net.cpp:122] Setting up conv1_2
I1017 23:08:14.865547 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865567 5918 net.cpp:137] Memory required for data: 85983232
I1017 23:08:14.865587 5918 layer_factory.hpp:77] Creating layer relu1_2
I1017 23:08:14.865605 5918 net.cpp:84] Creating Layer relu1_2
I1017 23:08:14.865633 5918 net.cpp:406] relu1_2 <- conv1_2
I1017 23:08:14.865651 5918 net.cpp:367] relu1_2 -> conv1_2 (in-place)
I1017 23:08:14.865671 5918 net.cpp:122] Setting up relu1_2
I1017 23:08:14.865703 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.865727 5918 net.cpp:137] Memory required for data: 102760448
I1017 23:08:14.865744 5918 layer_factory.hpp:77] Creating layer conv1_2norm
I1017 23:08:14.865772 5918 net.cpp:84] Creating Layer conv1_2norm
I1017 23:08:14.865818 5918 net.cpp:406] conv1_2norm <- conv1_2
I1017 23:08:14.865841 5918 net.cpp:380] conv1_2norm -> conv1_2norm
I1017 23:08:14.866073 5918 net.cpp:122] Setting up conv1_2norm
I1017 23:08:14.866152 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866166 5918 net.cpp:137] Memory required for data: 119537664
I1017 23:08:14.866185 5918 layer_factory.hpp:77] Creating layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866250 5918 net.cpp:84] Creating Layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866277 5918 net.cpp:406] conv1_2norm_conv1_2norm_0_split <- conv1_2norm
I1017 23:08:14.866297 5918 net.cpp:380] conv1_2norm_conv1_2norm_0_split -> conv1_2norm_conv1_2norm_0_split_0
I1017 23:08:14.866327 5918 net.cpp:380] conv1_2norm_conv1_2norm_0_split -> conv1_2norm_conv1_2norm_0_split_1
I1017 23:08:14.866367 5918 net.cpp:122] Setting up conv1_2norm_conv1_2norm_0_split
I1017 23:08:14.866392 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866420 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:14.866436 5918 net.cpp:137] Memory required for data: 153092096
I1017 23:08:14.866444 5918 layer_factory.hpp:77] Creating layer conv1_2norm_ss
I1017 23:08:14.866463 5918 net.cpp:84] Creating Layer conv1_2norm_ss
I1017 23:08:14.866497 5918 net.cpp:406] conv1_2norm_ss <- conv1_2norm_conv1_2norm_0_split_0
I1017 23:08:14.866515 5918 net.cpp:380] conv1_2norm_ss -> conv1_2norm_ss
I1017 23:08:14.866560 5918 net.cpp:122] Setting up conv1_2norm_ss
I1017 23:08:14.866585 5918 net.cpp:129] Top shape: 1 64 128 128 (1048576)
I1017 23:08:14.866612 5918 net.cpp:137] Memory required for data: 157286400
I1017 23:08:14.866628 5918 layer_factory.hpp:77] Creating layer conv2_1
I1017 23:08:14.866648 5918 net.cpp:84] Creating Layer conv2_1
I1017 23:08:14.866672 5918 net.cpp:406] conv2_1 <- conv1_2norm_ss
I1017 23:08:14.866701 5918 net.cpp:380] conv2_1 -> conv2_1
I1017 23:08:14.866986 5918 net.cpp:122] Setting up conv2_1
I1017 23:08:14.867056 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867071 5918 net.cpp:137] Memory required for data: 165675008
I1017 23:08:14.867086 5918 layer_factory.hpp:77] Creating layer relu2_1
I1017 23:08:14.867120 5918 net.cpp:84] Creating Layer relu2_1
I1017 23:08:14.867135 5918 net.cpp:406] relu2_1 <- conv2_1
I1017 23:08:14.867146 5918 net.cpp:367] relu2_1 -> conv2_1 (in-place)
I1017 23:08:14.867177 5918 net.cpp:122] Setting up relu2_1
I1017 23:08:14.867189 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867219 5918 net.cpp:137] Memory required for data: 174063616
I1017 23:08:14.867230 5918 layer_factory.hpp:77] Creating layer conv2_2
I1017 23:08:14.867246 5918 net.cpp:84] Creating Layer conv2_2
I1017 23:08:14.867259 5918 net.cpp:406] conv2_2 <- conv2_1
I1017 23:08:14.867277 5918 net.cpp:380] conv2_2 -> conv2_2
I1017 23:08:14.867863 5918 net.cpp:122] Setting up conv2_2
I1017 23:08:14.867908 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.867923 5918 net.cpp:137] Memory required for data: 182452224
I1017 23:08:14.867938 5918 layer_factory.hpp:77] Creating layer relu2_2
I1017 23:08:14.867949 5918 net.cpp:84] Creating Layer relu2_2
I1017 23:08:14.867974 5918 net.cpp:406] relu2_2 <- conv2_2
I1017 23:08:14.867988 5918 net.cpp:367] relu2_2 -> conv2_2 (in-place)
I1017 23:08:14.868027 5918 net.cpp:122] Setting up relu2_2
I1017 23:08:14.868046 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868067 5918 net.cpp:137] Memory required for data: 190840832
I1017 23:08:14.868095 5918 layer_factory.hpp:77] Creating layer conv2_2norm
I1017 23:08:14.868114 5918 net.cpp:84] Creating Layer conv2_2norm
I1017 23:08:14.868165 5918 net.cpp:406] conv2_2norm <- conv2_2
I1017 23:08:14.868204 5918 net.cpp:380] conv2_2norm -> conv2_2norm
I1017 23:08:14.868314 5918 net.cpp:122] Setting up conv2_2norm
I1017 23:08:14.868355 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868371 5918 net.cpp:137] Memory required for data: 199229440
I1017 23:08:14.868412 5918 layer_factory.hpp:77] Creating layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868448 5918 net.cpp:84] Creating Layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868460 5918 net.cpp:406] conv2_2norm_conv2_2norm_0_split <- conv2_2norm
I1017 23:08:14.868476 5918 net.cpp:380] conv2_2norm_conv2_2norm_0_split -> conv2_2norm_conv2_2norm_0_split_0
I1017 23:08:14.868492 5918 net.cpp:380] conv2_2norm_conv2_2norm_0_split -> conv2_2norm_conv2_2norm_0_split_1
I1017 23:08:14.868532 5918 net.cpp:122] Setting up conv2_2norm_conv2_2norm_0_split
I1017 23:08:14.868543 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868559 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.868574 5918 net.cpp:137] Memory required for data: 216006656
I1017 23:08:14.868602 5918 layer_factory.hpp:77] Creating layer conv2_2norm_ss
I1017 23:08:14.868626 5918 net.cpp:84] Creating Layer conv2_2norm_ss
I1017 23:08:14.868654 5918 net.cpp:406] conv2_2norm_ss <- conv2_2norm_conv2_2norm_0_split_0
I1017 23:08:14.868670 5918 net.cpp:380] conv2_2norm_ss -> conv2_2norm_ss
I1017 23:08:14.868721 5918 net.cpp:122] Setting up conv2_2norm_ss
I1017 23:08:14.868753 5918 net.cpp:129] Top shape: 1 128 64 64 (524288)
I1017 23:08:14.868770 5918 net.cpp:137] Memory required for data: 218103808
I1017 23:08:14.868783 5918 layer_factory.hpp:77] Creating layer conv3_1
I1017 23:08:14.868818 5918 net.cpp:84] Creating Layer conv3_1
I1017 23:08:14.868846 5918 net.cpp:406] conv3_1 <- conv2_2norm_ss
I1017 23:08:14.868861 5918 net.cpp:380] conv3_1 -> conv3_1
I1017 23:08:14.869738 5918 net.cpp:122] Setting up conv3_1
I1017 23:08:14.869832 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.869848 5918 net.cpp:137] Memory required for data: 222298112
I1017 23:08:14.869863 5918 layer_factory.hpp:77] Creating layer relu3_1
I1017 23:08:14.869884 5918 net.cpp:84] Creating Layer relu3_1
I1017 23:08:14.869909 5918 net.cpp:406] relu3_1 <- conv3_1
I1017 23:08:14.869935 5918 net.cpp:367] relu3_1 -> conv3_1 (in-place)
I1017 23:08:14.869963 5918 net.cpp:122] Setting up relu3_1
I1017 23:08:14.869987 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.870004 5918 net.cpp:137] Memory required for data: 226492416
I1017 23:08:14.870014 5918 layer_factory.hpp:77] Creating layer conv3_2
I1017 23:08:14.870043 5918 net.cpp:84] Creating Layer conv3_2
I1017 23:08:14.870057 5918 net.cpp:406] conv3_2 <- conv3_1
I1017 23:08:14.870084 5918 net.cpp:380] conv3_2 -> conv3_2
I1017 23:08:14.871803 5918 net.cpp:122] Setting up conv3_2
I1017 23:08:14.871842 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.871857 5918 net.cpp:137] Memory required for data: 230686720
I1017 23:08:14.871873 5918 layer_factory.hpp:77] Creating layer relu3_2
I1017 23:08:14.871893 5918 net.cpp:84] Creating Layer relu3_2
I1017 23:08:14.871917 5918 net.cpp:406] relu3_2 <- conv3_2
I1017 23:08:14.871934 5918 net.cpp:367] relu3_2 -> conv3_2 (in-place)
I1017 23:08:14.871960 5918 net.cpp:122] Setting up relu3_2
I1017 23:08:14.871989 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.872017 5918 net.cpp:137] Memory required for data: 234881024
I1017 23:08:14.872033 5918 layer_factory.hpp:77] Creating layer conv3_3
I1017 23:08:14.872053 5918 net.cpp:84] Creating Layer conv3_3
I1017 23:08:14.872089 5918 net.cpp:406] conv3_3 <- conv3_2
I1017 23:08:14.872105 5918 net.cpp:380] conv3_3 -> conv3_3
I1017 23:08:14.874007 5918 net.cpp:122] Setting up conv3_3
I1017 23:08:14.874053 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874068 5918 net.cpp:137] Memory required for data: 239075328
I1017 23:08:14.874085 5918 layer_factory.hpp:77] Creating layer relu3_3
I1017 23:08:14.874115 5918 net.cpp:84] Creating Layer relu3_3
I1017 23:08:14.874140 5918 net.cpp:406] relu3_3 <- conv3_3
I1017 23:08:14.874155 5918 net.cpp:367] relu3_3 -> conv3_3 (in-place)
I1017 23:08:14.874181 5918 net.cpp:122] Setting up relu3_3
I1017 23:08:14.874192 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874218 5918 net.cpp:137] Memory required for data: 243269632
I1017 23:08:14.874229 5918 layer_factory.hpp:77] Creating layer conv3_3norm
I1017 23:08:14.874246 5918 net.cpp:84] Creating Layer conv3_3norm
I1017 23:08:14.874258 5918 net.cpp:406] conv3_3norm <- conv3_3
I1017 23:08:14.874272 5918 net.cpp:380] conv3_3norm -> conv3_3norm
I1017 23:08:14.874316 5918 net.cpp:122] Setting up conv3_3norm
I1017 23:08:14.874341 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874356 5918 net.cpp:137] Memory required for data: 247463936
I1017 23:08:14.874372 5918 layer_factory.hpp:77] Creating layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874402 5918 net.cpp:84] Creating Layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874415 5918 net.cpp:406] conv3_3norm_conv3_3norm_0_split <- conv3_3norm
I1017 23:08:14.874431 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:14.874447 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:14.874477 5918 net.cpp:122] Setting up conv3_3norm_conv3_3norm_0_split
I1017 23:08:14.874490 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874516 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.874532 5918 net.cpp:137] Memory required for data: 255852544
I1017 23:08:14.874544 5918 layer_factory.hpp:77] Creating layer conv3_3norm_ss
I1017 23:08:14.874563 5918 net.cpp:84] Creating Layer conv3_3norm_ss
I1017 23:08:14.874588 5918 net.cpp:406] conv3_3norm_ss <- conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:14.874604 5918 net.cpp:380] conv3_3norm_ss -> conv3_3norm_ss
I1017 23:08:14.874647 5918 net.cpp:122] Setting up conv3_3norm_ss
I1017 23:08:14.874671 5918 net.cpp:129] Top shape: 1 256 32 32 (262144)
I1017 23:08:14.874686 5918 net.cpp:137] Memory required for data: 256901120
I1017 23:08:14.874699 5918 layer_factory.hpp:77] Creating layer conv4_1
I1017 23:08:14.874716 5918 net.cpp:84] Creating Layer conv4_1
I1017 23:08:14.874728 5918 net.cpp:406] conv4_1 <- conv3_3norm_ss
I1017 23:08:14.874747 5918 net.cpp:380] conv4_1 -> conv4_1
I1017 23:08:14.878168 5918 net.cpp:122] Setting up conv4_1
I1017 23:08:14.878211 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.878228 5918 net.cpp:137] Memory required for data: 258998272
I1017 23:08:14.878244 5918 layer_factory.hpp:77] Creating layer relu4_1
I1017 23:08:14.878263 5918 net.cpp:84] Creating Layer relu4_1
I1017 23:08:14.878276 5918 net.cpp:406] relu4_1 <- conv4_1
I1017 23:08:14.878293 5918 net.cpp:367] relu4_1 -> conv4_1 (in-place)
I1017 23:08:14.878307 5918 net.cpp:122] Setting up relu4_1
I1017 23:08:14.878329 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.878345 5918 net.cpp:137] Memory required for data: 261095424
I1017 23:08:14.878357 5918 layer_factory.hpp:77] Creating layer conv4_2
I1017 23:08:14.878376 5918 net.cpp:84] Creating Layer conv4_2
I1017 23:08:14.878414 5918 net.cpp:406] conv4_2 <- conv4_1
I1017 23:08:14.878430 5918 net.cpp:380] conv4_2 -> conv4_2
I1017 23:08:14.886188 5918 net.cpp:122] Setting up conv4_2
I1017 23:08:14.886258 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.886276 5918 net.cpp:137] Memory required for data: 263192576
I1017 23:08:14.886301 5918 layer_factory.hpp:77] Creating layer relu4_2
I1017 23:08:14.886340 5918 net.cpp:84] Creating Layer relu4_2
I1017 23:08:14.886356 5918 net.cpp:406] relu4_2 <- conv4_2
I1017 23:08:14.886371 5918 net.cpp:367] relu4_2 -> conv4_2 (in-place)
I1017 23:08:14.886400 5918 net.cpp:122] Setting up relu4_2
I1017 23:08:14.886412 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.886438 5918 net.cpp:137] Memory required for data: 265289728
I1017 23:08:14.886449 5918 layer_factory.hpp:77] Creating layer conv4_3
I1017 23:08:14.886468 5918 net.cpp:84] Creating Layer conv4_3
I1017 23:08:14.886481 5918 net.cpp:406] conv4_3 <- conv4_2
I1017 23:08:14.886493 5918 net.cpp:380] conv4_3 -> conv4_3
I1017 23:08:14.894157 5918 net.cpp:122] Setting up conv4_3
I1017 23:08:14.894219 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894243 5918 net.cpp:137] Memory required for data: 267386880
I1017 23:08:14.894284 5918 layer_factory.hpp:77] Creating layer relu4_3
I1017 23:08:14.894335 5918 net.cpp:84] Creating Layer relu4_3
I1017 23:08:14.894374 5918 net.cpp:406] relu4_3 <- conv4_3
I1017 23:08:14.894399 5918 net.cpp:367] relu4_3 -> conv4_3 (in-place)
I1017 23:08:14.894424 5918 net.cpp:122] Setting up relu4_3
I1017 23:08:14.894438 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894461 5918 net.cpp:137] Memory required for data: 269484032
I1017 23:08:14.894475 5918 layer_factory.hpp:77] Creating layer conv4_3norm
I1017 23:08:14.894501 5918 net.cpp:84] Creating Layer conv4_3norm
I1017 23:08:14.894536 5918 net.cpp:406] conv4_3norm <- conv4_3
I1017 23:08:14.894557 5918 net.cpp:380] conv4_3norm -> conv4_3norm
I1017 23:08:14.894835 5918 net.cpp:122] Setting up conv4_3norm
I1017 23:08:14.894870 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.894892 5918 net.cpp:137] Memory required for data: 271581184
I1017 23:08:14.894934 5918 layer_factory.hpp:77] Creating layer conv5_1
I1017 23:08:14.894987 5918 net.cpp:84] Creating Layer conv5_1
I1017 23:08:14.895007 5918 net.cpp:406] conv5_1 <- conv4_3norm
I1017 23:08:14.895027 5918 net.cpp:380] conv5_1 -> conv5_1
I1017 23:08:14.901981 5918 net.cpp:122] Setting up conv5_1
I1017 23:08:14.902055 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.902071 5918 net.cpp:137] Memory required for data: 273678336
I1017 23:08:14.902089 5918 layer_factory.hpp:77] Creating layer relu5_1
I1017 23:08:14.902107 5918 net.cpp:84] Creating Layer relu5_1
I1017 23:08:14.902134 5918 net.cpp:406] relu5_1 <- conv5_1
I1017 23:08:14.902158 5918 net.cpp:367] relu5_1 -> conv5_1 (in-place)
I1017 23:08:14.902174 5918 net.cpp:122] Setting up relu5_1
I1017 23:08:14.902186 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.902199 5918 net.cpp:137] Memory required for data: 275775488
I1017 23:08:14.902211 5918 layer_factory.hpp:77] Creating layer conv5_2
I1017 23:08:14.902226 5918 net.cpp:84] Creating Layer conv5_2
I1017 23:08:14.902238 5918 net.cpp:406] conv5_2 <- conv5_1
I1017 23:08:14.902256 5918 net.cpp:380] conv5_2 -> conv5_2
I1017 23:08:14.909216 5918 net.cpp:122] Setting up conv5_2
I1017 23:08:14.909272 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.909291 5918 net.cpp:137] Memory required for data: 277872640
I1017 23:08:14.909309 5918 layer_factory.hpp:77] Creating layer relu5_2
I1017 23:08:14.909355 5918 net.cpp:84] Creating Layer relu5_2
I1017 23:08:14.909412 5918 net.cpp:406] relu5_2 <- conv5_2
I1017 23:08:14.909431 5918 net.cpp:367] relu5_2 -> conv5_2 (in-place)
I1017 23:08:14.909483 5918 net.cpp:122] Setting up relu5_2
I1017 23:08:14.909502 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.909530 5918 net.cpp:137] Memory required for data: 279969792
I1017 23:08:14.909543 5918 layer_factory.hpp:77] Creating layer conv5_3
I1017 23:08:14.909564 5918 net.cpp:84] Creating Layer conv5_3
I1017 23:08:14.909586 5918 net.cpp:406] conv5_3 <- conv5_2
I1017 23:08:14.909602 5918 net.cpp:380] conv5_3 -> conv5_3
I1017 23:08:14.917004 5918 net.cpp:122] Setting up conv5_3
I1017 23:08:14.917053 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917083 5918 net.cpp:137] Memory required for data: 282066944
I1017 23:08:14.917119 5918 layer_factory.hpp:77] Creating layer relu5_3
I1017 23:08:14.917150 5918 net.cpp:84] Creating Layer relu5_3
I1017 23:08:14.917177 5918 net.cpp:406] relu5_3 <- conv5_3
I1017 23:08:14.917206 5918 net.cpp:367] relu5_3 -> conv5_3 (in-place)
I1017 23:08:14.917238 5918 net.cpp:122] Setting up relu5_3
I1017 23:08:14.917263 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917289 5918 net.cpp:137] Memory required for data: 284164096
I1017 23:08:14.917313 5918 layer_factory.hpp:77] Creating layer conv5_3norm
I1017 23:08:14.917342 5918 net.cpp:84] Creating Layer conv5_3norm
I1017 23:08:14.917366 5918 net.cpp:406] conv5_3norm <- conv5_3
I1017 23:08:14.917394 5918 net.cpp:380] conv5_3norm -> conv5_3norm
I1017 23:08:14.917444 5918 net.cpp:122] Setting up conv5_3norm
I1017 23:08:14.917469 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.917495 5918 net.cpp:137] Memory required for data: 286261248
I1017 23:08:14.917528 5918 layer_factory.hpp:77] Creating layer conv6_1
I1017 23:08:14.917559 5918 net.cpp:84] Creating Layer conv6_1
I1017 23:08:14.917583 5918 net.cpp:406] conv6_1 <- conv5_3norm
I1017 23:08:14.917614 5918 net.cpp:380] conv6_1 -> conv6_1
I1017 23:08:14.925098 5918 net.cpp:122] Setting up conv6_1
I1017 23:08:14.925155 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.925179 5918 net.cpp:137] Memory required for data: 288358400
I1017 23:08:14.925206 5918 layer_factory.hpp:77] Creating layer relu6_1
I1017 23:08:14.925232 5918 net.cpp:84] Creating Layer relu6_1
I1017 23:08:14.925251 5918 net.cpp:406] relu6_1 <- conv6_1
I1017 23:08:14.925273 5918 net.cpp:367] relu6_1 -> conv6_1 (in-place)
I1017 23:08:14.925295 5918 net.cpp:122] Setting up relu6_1
I1017 23:08:14.925328 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.925349 5918 net.cpp:137] Memory required for data: 290455552
I1017 23:08:14.925367 5918 layer_factory.hpp:77] Creating layer conv6_2
I1017 23:08:14.925388 5918 net.cpp:84] Creating Layer conv6_2
I1017 23:08:14.925422 5918 net.cpp:406] conv6_2 <- conv6_1
I1017 23:08:14.925443 5918 net.cpp:380] conv6_2 -> conv6_2
I1017 23:08:14.932564 5918 net.cpp:122] Setting up conv6_2
I1017 23:08:14.932623 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.932641 5918 net.cpp:137] Memory required for data: 292552704
I1017 23:08:14.932658 5918 layer_factory.hpp:77] Creating layer relu6_2
I1017 23:08:14.932688 5918 net.cpp:84] Creating Layer relu6_2
I1017 23:08:14.932723 5918 net.cpp:406] relu6_2 <- conv6_2
I1017 23:08:14.932741 5918 net.cpp:367] relu6_2 -> conv6_2 (in-place)
I1017 23:08:14.932760 5918 net.cpp:122] Setting up relu6_2
I1017 23:08:14.932783 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.932812 5918 net.cpp:137] Memory required for data: 294649856
I1017 23:08:14.932837 5918 layer_factory.hpp:77] Creating layer conv6_3
I1017 23:08:14.932871 5918 net.cpp:84] Creating Layer conv6_3
I1017 23:08:14.932911 5918 net.cpp:406] conv6_3 <- conv6_2
I1017 23:08:14.932927 5918 net.cpp:380] conv6_3 -> conv6_3
I1017 23:08:14.940912 5918 net.cpp:122] Setting up conv6_3
I1017 23:08:14.940968 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.940985 5918 net.cpp:137] Memory required for data: 296747008
I1017 23:08:14.941004 5918 layer_factory.hpp:77] Creating layer relu6_3
I1017 23:08:14.941025 5918 net.cpp:84] Creating Layer relu6_3
I1017 23:08:14.941038 5918 net.cpp:406] relu6_3 <- conv6_3
I1017 23:08:14.941053 5918 net.cpp:367] relu6_3 -> conv6_3 (in-place)
I1017 23:08:14.941083 5918 net.cpp:122] Setting up relu6_3
I1017 23:08:14.941094 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.941110 5918 net.cpp:137] Memory required for data: 298844160
I1017 23:08:14.941120 5918 layer_factory.hpp:77] Creating layer conv6_3norm
I1017 23:08:14.941150 5918 net.cpp:84] Creating Layer conv6_3norm
I1017 23:08:14.941162 5918 net.cpp:406] conv6_3norm <- conv6_3
I1017 23:08:14.941177 5918 net.cpp:380] conv6_3norm -> conv6_3norm
I1017 23:08:14.941215 5918 net.cpp:122] Setting up conv6_3norm
I1017 23:08:14.941242 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.941263 5918 net.cpp:137] Memory required for data: 300941312
I1017 23:08:14.941316 5918 layer_factory.hpp:77] Creating layer conv7_1
I1017 23:08:14.941359 5918 net.cpp:84] Creating Layer conv7_1
I1017 23:08:14.941380 5918 net.cpp:406] conv7_1 <- conv6_3norm
I1017 23:08:14.941427 5918 net.cpp:380] conv7_1 -> conv7_1
I1017 23:08:14.949010 5918 net.cpp:122] Setting up conv7_1
I1017 23:08:14.949074 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.949092 5918 net.cpp:137] Memory required for data: 303038464
I1017 23:08:14.949110 5918 layer_factory.hpp:77] Creating layer relu7_1
I1017 23:08:14.949131 5918 net.cpp:84] Creating Layer relu7_1
I1017 23:08:14.949143 5918 net.cpp:406] relu7_1 <- conv7_1
I1017 23:08:14.949158 5918 net.cpp:367] relu7_1 -> conv7_1 (in-place)
I1017 23:08:14.949174 5918 net.cpp:122] Setting up relu7_1
I1017 23:08:14.949185 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.949199 5918 net.cpp:137] Memory required for data: 305135616
I1017 23:08:14.949223 5918 layer_factory.hpp:77] Creating layer conv7_2
I1017 23:08:14.949245 5918 net.cpp:84] Creating Layer conv7_2
I1017 23:08:14.949259 5918 net.cpp:406] conv7_2 <- conv7_1
I1017 23:08:14.949272 5918 net.cpp:380] conv7_2 -> conv7_2
I1017 23:08:14.957059 5918 net.cpp:122] Setting up conv7_2
I1017 23:08:14.957120 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.957157 5918 net.cpp:137] Memory required for data: 307232768
I1017 23:08:14.957196 5918 layer_factory.hpp:77] Creating layer relu7_2
I1017 23:08:14.957235 5918 net.cpp:84] Creating Layer relu7_2
I1017 23:08:14.957267 5918 net.cpp:406] relu7_2 <- conv7_2
I1017 23:08:14.957300 5918 net.cpp:367] relu7_2 -> conv7_2 (in-place)
I1017 23:08:14.957334 5918 net.cpp:122] Setting up relu7_2
I1017 23:08:14.957362 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.957396 5918 net.cpp:137] Memory required for data: 309329920
I1017 23:08:14.957423 5918 layer_factory.hpp:77] Creating layer conv7_3
I1017 23:08:14.957589 5918 net.cpp:84] Creating Layer conv7_3
I1017 23:08:14.957620 5918 net.cpp:406] conv7_3 <- conv7_2
I1017 23:08:14.957659 5918 net.cpp:380] conv7_3 -> conv7_3
I1017 23:08:14.964710 5918 net.cpp:122] Setting up conv7_3
I1017 23:08:14.964781 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.964804 5918 net.cpp:137] Memory required for data: 311427072
I1017 23:08:14.964844 5918 layer_factory.hpp:77] Creating layer relu7_3
I1017 23:08:14.964900 5918 net.cpp:84] Creating Layer relu7_3
I1017 23:08:14.964936 5918 net.cpp:406] relu7_3 <- conv7_3
I1017 23:08:14.964980 5918 net.cpp:367] relu7_3 -> conv7_3 (in-place)
I1017 23:08:14.965011 5918 net.cpp:122] Setting up relu7_3
I1017 23:08:14.965029 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.965049 5918 net.cpp:137] Memory required for data: 313524224
I1017 23:08:14.965066 5918 layer_factory.hpp:77] Creating layer conv7_3norm
I1017 23:08:14.965087 5918 net.cpp:84] Creating Layer conv7_3norm
I1017 23:08:14.965121 5918 net.cpp:406] conv7_3norm <- conv7_3
I1017 23:08:14.965142 5918 net.cpp:380] conv7_3norm -> conv7_3norm
I1017 23:08:14.965196 5918 net.cpp:122] Setting up conv7_3norm
I1017 23:08:14.965225 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:14.965247 5918 net.cpp:137] Memory required for data: 315621376
I1017 23:08:14.965276 5918 layer_factory.hpp:77] Creating layer conv8_1
I1017 23:08:14.965323 5918 net.cpp:84] Creating Layer conv8_1
I1017 23:08:14.965355 5918 net.cpp:406] conv8_1 <- conv7_3norm
I1017 23:08:14.965394 5918 net.cpp:380] conv8_1 -> conv8_1
I1017 23:08:14.972735 5918 net.cpp:122] Setting up conv8_1
I1017 23:08:14.972785 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.972810 5918 net.cpp:137] Memory required for data: 319815680
I1017 23:08:14.972856 5918 layer_factory.hpp:77] Creating layer conv3_3_short
I1017 23:08:14.972890 5918 net.cpp:84] Creating Layer conv3_3_short
I1017 23:08:14.972903 5918 net.cpp:406] conv3_3_short <- conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:14.972923 5918 net.cpp:380] conv3_3_short -> conv3_3_short
I1017 23:08:14.983263 5918 net.cpp:122] Setting up conv3_3_short
I1017 23:08:14.983373 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983404 5918 net.cpp:137] Memory required for data: 324009984
I1017 23:08:14.983438 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:14.983492 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:14.983531 5918 net.cpp:406] conv8_1_comb <- conv8_1
I1017 23:08:14.983556 5918 net.cpp:406] conv8_1_comb <- conv3_3_short
I1017 23:08:14.983602 5918 net.cpp:380] conv8_1_comb -> conv8_1_comb
I1017 23:08:14.983649 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:14.983681 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983716 5918 net.cpp:137] Memory required for data: 328204288
I1017 23:08:14.983752 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:14.983783 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:14.983816 5918 net.cpp:406] conv8_1_comb <- conv8_1_comb
I1017 23:08:14.983855 5918 net.cpp:367] conv8_1_comb -> conv8_1_comb (in-place)
I1017 23:08:14.983891 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:14.983911 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.983924 5918 net.cpp:137] Memory required for data: 332398592
I1017 23:08:14.983934 5918 layer_factory.hpp:77] Creating layer conv8_2
I1017 23:08:14.983952 5918 net.cpp:84] Creating Layer conv8_2
I1017 23:08:14.983975 5918 net.cpp:406] conv8_2 <- conv8_1_comb
I1017 23:08:14.983990 5918 net.cpp:380] conv8_2 -> conv8_2
I1017 23:08:14.986050 5918 net.cpp:122] Setting up conv8_2
I1017 23:08:14.986090 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.986106 5918 net.cpp:137] Memory required for data: 336592896
I1017 23:08:14.986124 5918 layer_factory.hpp:77] Creating layer relu8_2
I1017 23:08:14.986138 5918 net.cpp:84] Creating Layer relu8_2
I1017 23:08:14.986150 5918 net.cpp:406] relu8_2 <- conv8_2
I1017 23:08:14.986162 5918 net.cpp:367] relu8_2 -> conv8_2 (in-place)
I1017 23:08:14.986176 5918 net.cpp:122] Setting up relu8_2
I1017 23:08:14.986186 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.986198 5918 net.cpp:137] Memory required for data: 340787200
I1017 23:08:14.986207 5918 layer_factory.hpp:77] Creating layer conv8_3
I1017 23:08:14.986222 5918 net.cpp:84] Creating Layer conv8_3
I1017 23:08:14.986232 5918 net.cpp:406] conv8_3 <- conv8_2
I1017 23:08:14.986244 5918 net.cpp:380] conv8_3 -> conv8_3
I1017 23:08:14.988282 5918 net.cpp:122] Setting up conv8_3
I1017 23:08:14.988329 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988378 5918 net.cpp:137] Memory required for data: 344981504
I1017 23:08:14.988418 5918 layer_factory.hpp:77] Creating layer relu8_3
I1017 23:08:14.988457 5918 net.cpp:84] Creating Layer relu8_3
I1017 23:08:14.988489 5918 net.cpp:406] relu8_3 <- conv8_3
I1017 23:08:14.988523 5918 net.cpp:367] relu8_3 -> conv8_3 (in-place)
I1017 23:08:14.988559 5918 net.cpp:122] Setting up relu8_3
I1017 23:08:14.988593 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988627 5918 net.cpp:137] Memory required for data: 349175808
I1017 23:08:14.988657 5918 layer_factory.hpp:77] Creating layer conv8_3norm
I1017 23:08:14.988692 5918 net.cpp:84] Creating Layer conv8_3norm
I1017 23:08:14.988723 5918 net.cpp:406] conv8_3norm <- conv8_3
I1017 23:08:14.988757 5918 net.cpp:380] conv8_3norm -> conv8_3norm
I1017 23:08:14.988834 5918 net.cpp:122] Setting up conv8_3norm
I1017 23:08:14.988868 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:14.988909 5918 net.cpp:137] Memory required for data: 353370112
I1017 23:08:14.988957 5918 layer_factory.hpp:77] Creating layer conv9_1
I1017 23:08:14.989015 5918 net.cpp:84] Creating Layer conv9_1
I1017 23:08:14.989048 5918 net.cpp:406] conv9_1 <- conv8_3norm
I1017 23:08:14.989084 5918 net.cpp:380] conv9_1 -> conv9_1
I1017 23:08:14.999006 5918 net.cpp:122] Setting up conv9_1
I1017 23:08:14.999060 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:14.999119 5918 net.cpp:137] Memory required for data: 361758720
I1017 23:08:14.999164 5918 layer_factory.hpp:77] Creating layer conv2_2_short
I1017 23:08:14.999218 5918 net.cpp:84] Creating Layer conv2_2_short
I1017 23:08:14.999241 5918 net.cpp:406] conv2_2_short <- conv2_2norm_conv2_2norm_0_split_1
I1017 23:08:14.999279 5918 net.cpp:380] conv2_2_short -> conv2_2_short
I1017 23:08:15.001752 5918 net.cpp:122] Setting up conv2_2_short
I1017 23:08:15.001812 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.001829 5918 net.cpp:137] Memory required for data: 370147328
I1017 23:08:15.001847 5918 layer_factory.hpp:77] Creating layer conv9_1_comb
I1017 23:08:15.001890 5918 net.cpp:84] Creating Layer conv9_1_comb
I1017 23:08:15.001919 5918 net.cpp:406] conv9_1_comb <- conv9_1
I1017 23:08:15.001951 5918 net.cpp:406] conv9_1_comb <- conv2_2_short
I1017 23:08:15.001974 5918 net.cpp:380] conv9_1_comb -> conv9_1_comb
I1017 23:08:15.002013 5918 net.cpp:122] Setting up conv9_1_comb
I1017 23:08:15.002024 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.002038 5918 net.cpp:137] Memory required for data: 378535936
I1017 23:08:15.002065 5918 layer_factory.hpp:77] Creating layer relu9_1_comb
I1017 23:08:15.002092 5918 net.cpp:84] Creating Layer relu9_1_comb
I1017 23:08:15.002127 5918 net.cpp:406] relu9_1_comb <- conv9_1_comb
I1017 23:08:15.002167 5918 net.cpp:367] relu9_1_comb -> conv9_1_comb (in-place)
I1017 23:08:15.002208 5918 net.cpp:122] Setting up relu9_1_comb
I1017 23:08:15.002228 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.002249 5918 net.cpp:137] Memory required for data: 386924544
I1017 23:08:15.002280 5918 layer_factory.hpp:77] Creating layer conv9_2
I1017 23:08:15.002321 5918 net.cpp:84] Creating Layer conv9_2
I1017 23:08:15.002355 5918 net.cpp:406] conv9_2 <- conv9_1_comb
I1017 23:08:15.002379 5918 net.cpp:380] conv9_2 -> conv9_2
I1017 23:08:15.005256 5918 net.cpp:122] Setting up conv9_2
I1017 23:08:15.005290 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005306 5918 net.cpp:137] Memory required for data: 395313152
I1017 23:08:15.005321 5918 layer_factory.hpp:77] Creating layer relu9_2
I1017 23:08:15.005359 5918 net.cpp:84] Creating Layer relu9_2
I1017 23:08:15.005393 5918 net.cpp:406] relu9_2 <- conv9_2
I1017 23:08:15.005421 5918 net.cpp:367] relu9_2 -> conv9_2 (in-place)
I1017 23:08:15.005439 5918 net.cpp:122] Setting up relu9_2
I1017 23:08:15.005467 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005488 5918 net.cpp:137] Memory required for data: 403701760
I1017 23:08:15.005512 5918 layer_factory.hpp:77] Creating layer conv9_2norm
I1017 23:08:15.005533 5918 net.cpp:84] Creating Layer conv9_2norm
I1017 23:08:15.005555 5918 net.cpp:406] conv9_2norm <- conv9_2
I1017 23:08:15.005578 5918 net.cpp:380] conv9_2norm -> conv9_2norm
I1017 23:08:15.005681 5918 net.cpp:122] Setting up conv9_2norm
I1017 23:08:15.005712 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.005728 5918 net.cpp:137] Memory required for data: 412090368
I1017 23:08:15.005746 5918 layer_factory.hpp:77] Creating layer conv10_1
I1017 23:08:15.005789 5918 net.cpp:84] Creating Layer conv10_1
I1017 23:08:15.005844 5918 net.cpp:406] conv10_1 <- conv9_2norm
I1017 23:08:15.005861 5918 net.cpp:380] conv10_1 -> conv10_1
I1017 23:08:15.010627 5918 net.cpp:122] Setting up conv10_1
I1017 23:08:15.010666 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.010684 5918 net.cpp:137] Memory required for data: 445644800
I1017 23:08:15.010699 5918 layer_factory.hpp:77] Creating layer conv1_2_short
I1017 23:08:15.010738 5918 net.cpp:84] Creating Layer conv1_2_short
I1017 23:08:15.010788 5918 net.cpp:406] conv1_2_short <- conv1_2norm_conv1_2norm_0_split_1
I1017 23:08:15.010835 5918 net.cpp:380] conv1_2_short -> conv1_2_short
I1017 23:08:15.012590 5918 net.cpp:122] Setting up conv1_2_short
I1017 23:08:15.012627 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.012643 5918 net.cpp:137] Memory required for data: 479199232
I1017 23:08:15.012658 5918 layer_factory.hpp:77] Creating layer conv10_1_comb
I1017 23:08:15.012694 5918 net.cpp:84] Creating Layer conv10_1_comb
I1017 23:08:15.012720 5918 net.cpp:406] conv10_1_comb <- conv10_1
I1017 23:08:15.012737 5918 net.cpp:406] conv10_1_comb <- conv1_2_short
I1017 23:08:15.012778 5918 net.cpp:380] conv10_1_comb -> conv10_1_comb
I1017 23:08:15.012823 5918 net.cpp:122] Setting up conv10_1_comb
I1017 23:08:15.012857 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.012894 5918 net.cpp:137] Memory required for data: 512753664
I1017 23:08:15.012928 5918 layer_factory.hpp:77] Creating layer relu10_1_comb
I1017 23:08:15.012982 5918 net.cpp:84] Creating Layer relu10_1_comb
I1017 23:08:15.013017 5918 net.cpp:406] relu10_1_comb <- conv10_1_comb
I1017 23:08:15.013053 5918 net.cpp:367] relu10_1_comb -> conv10_1_comb (in-place)
I1017 23:08:15.013077 5918 net.cpp:122] Setting up relu10_1_comb
I1017 23:08:15.013108 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.013145 5918 net.cpp:137] Memory required for data: 546308096
I1017 23:08:15.013170 5918 layer_factory.hpp:77] Creating layer conv10_2
I1017 23:08:15.013206 5918 net.cpp:84] Creating Layer conv10_2
I1017 23:08:15.013219 5918 net.cpp:406] conv10_2 <- conv10_1_comb
I1017 23:08:15.013236 5918 net.cpp:380] conv10_2 -> conv10_2
I1017 23:08:15.016170 5918 net.cpp:122] Setting up conv10_2
I1017 23:08:15.016230 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.016248 5918 net.cpp:137] Memory required for data: 579862528
I1017 23:08:15.016268 5918 layer_factory.hpp:77] Creating layer relu10_2
I1017 23:08:15.016285 5918 net.cpp:84] Creating Layer relu10_2
I1017 23:08:15.016321 5918 net.cpp:406] relu10_2 <- conv10_2
I1017 23:08:15.016347 5918 net.cpp:367] relu10_2 -> conv10_2 (in-place)
I1017 23:08:15.016536 5918 net.cpp:122] Setting up relu10_2
I1017 23:08:15.016566 5918 net.cpp:129] Top shape: 1 128 256 256 (8388608)
I1017 23:08:15.016595 5918 net.cpp:137] Memory required for data: 613416960
I1017 23:08:15.016609 5918 layer_factory.hpp:77] Creating layer conv10_ab
I1017 23:08:15.016628 5918 net.cpp:84] Creating Layer conv10_ab
I1017 23:08:15.016659 5918 net.cpp:406] conv10_ab <- conv10_2
I1017 23:08:15.016674 5918 net.cpp:380] conv10_ab -> conv10_ab
I1017 23:08:15.016955 5918 net.cpp:122] Setting up conv10_ab
I1017 23:08:15.016988 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017004 5918 net.cpp:137] Memory required for data: 613941248
I1017 23:08:15.017019 5918 layer_factory.hpp:77] Creating layer pred_ab_1
I1017 23:08:15.017052 5918 net.cpp:84] Creating Layer pred_ab_1
I1017 23:08:15.017098 5918 net.cpp:406] pred_ab_1 <- conv10_ab
I1017 23:08:15.017139 5918 net.cpp:380] pred_ab_1 -> pred_ab_1
I1017 23:08:15.017165 5918 net.cpp:122] Setting up pred_ab_1
I1017 23:08:15.017190 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017230 5918 net.cpp:137] Memory required for data: 614465536
I1017 23:08:15.017266 5918 layer_factory.hpp:77] Creating layer pred_ab
I1017 23:08:15.017295 5918 net.cpp:84] Creating Layer pred_ab
I1017 23:08:15.017329 5918 net.cpp:406] pred_ab <- pred_ab_1
I1017 23:08:15.017365 5918 net.cpp:380] pred_ab -> pred_ab
I1017 23:08:15.017733 5918 net.cpp:122] Setting up pred_ab
I1017 23:08:15.017767 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.017783 5918 net.cpp:137] Memory required for data: 614989824
I1017 23:08:15.017796 5918 net.cpp:200] pred_ab does not need backward computation.
I1017 23:08:15.017859 5918 net.cpp:200] pred_ab_1 does not need backward computation.
I1017 23:08:15.017890 5918 net.cpp:200] conv10_ab does not need backward computation.
I1017 23:08:15.017923 5918 net.cpp:200] relu10_2 does not need backward computation.
I1017 23:08:15.017944 5918 net.cpp:200] conv10_2 does not need backward computation.
I1017 23:08:15.017961 5918 net.cpp:200] relu10_1_comb does not need backward computation.
I1017 23:08:15.017979 5918 net.cpp:200] conv10_1_comb does not need backward computation.
I1017 23:08:15.018013 5918 net.cpp:200] conv1_2_short does not need backward computation.
I1017 23:08:15.018036 5918 net.cpp:200] conv10_1 does not need backward computation.
I1017 23:08:15.018067 5918 net.cpp:200] conv9_2norm does not need backward computation.
I1017 23:08:15.018105 5918 net.cpp:200] relu9_2 does not need backward computation.
I1017 23:08:15.018126 5918 net.cpp:200] conv9_2 does not need backward computation.
I1017 23:08:15.018142 5918 net.cpp:200] relu9_1_comb does not need backward computation.
I1017 23:08:15.018160 5918 net.cpp:200] conv9_1_comb does not need backward computation.
I1017 23:08:15.018194 5918 net.cpp:200] conv2_2_short does not need backward computation.
I1017 23:08:15.018229 5918 net.cpp:200] conv9_1 does not need backward computation.
I1017 23:08:15.018254 5918 net.cpp:200] conv8_3norm does not need backward computation.
I1017 23:08:15.018266 5918 net.cpp:200] relu8_3 does not need backward computation.
I1017 23:08:15.018278 5918 net.cpp:200] conv8_3 does not need backward computation.
I1017 23:08:15.018302 5918 net.cpp:200] relu8_2 does not need backward computation.
I1017 23:08:15.018335 5918 net.cpp:200] conv8_2 does not need backward computation.
I1017 23:08:15.018357 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.018373 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.018410 5918 net.cpp:200] conv3_3_short does not need backward computation.
I1017 23:08:15.018445 5918 net.cpp:200] conv8_1 does not need backward computation.
I1017 23:08:15.018482 5918 net.cpp:200] conv7_3norm does not need backward computation.
I1017 23:08:15.018501 5918 net.cpp:200] relu7_3 does not need backward computation.
I1017 23:08:15.018520 5918 net.cpp:200] conv7_3 does not need backward computation.
I1017 23:08:15.018554 5918 net.cpp:200] relu7_2 does not need backward computation.
I1017 23:08:15.018574 5918 net.cpp:200] conv7_2 does not need backward computation.
I1017 23:08:15.018600 5918 net.cpp:200] relu7_1 does not need backward computation.
I1017 23:08:15.018613 5918 net.cpp:200] conv7_1 does not need backward computation.
I1017 23:08:15.018643 5918 net.cpp:200] conv6_3norm does not need backward computation.
I1017 23:08:15.018662 5918 net.cpp:200] relu6_3 does not need backward computation.
I1017 23:08:15.018677 5918 net.cpp:200] conv6_3 does not need backward computation.
I1017 23:08:15.018713 5918 net.cpp:200] relu6_2 does not need backward computation.
I1017 23:08:15.018734 5918 net.cpp:200] conv6_2 does not need backward computation.
I1017 23:08:15.018750 5918 net.cpp:200] relu6_1 does not need backward computation.
I1017 23:08:15.018767 5918 net.cpp:200] conv6_1 does not need backward computation.
I1017 23:08:15.018801 5918 net.cpp:200] conv5_3norm does not need backward computation.
I1017 23:08:15.018834 5918 net.cpp:200] relu5_3 does not need backward computation.
I1017 23:08:15.018856 5918 net.cpp:200] conv5_3 does not need backward computation.
I1017 23:08:15.018867 5918 net.cpp:200] relu5_2 does not need backward computation.
I1017 23:08:15.018898 5918 net.cpp:200] conv5_2 does not need backward computation.
I1017 23:08:15.018932 5918 net.cpp:200] relu5_1 does not need backward computation.
I1017 23:08:15.018968 5918 net.cpp:200] conv5_1 does not need backward computation.
I1017 23:08:15.018991 5918 net.cpp:200] conv4_3norm does not need backward computation.
I1017 23:08:15.019007 5918 net.cpp:200] relu4_3 does not need backward computation.
I1017 23:08:15.019026 5918 net.cpp:200] conv4_3 does not need backward computation.
I1017 23:08:15.019059 5918 net.cpp:200] relu4_2 does not need backward computation.
I1017 23:08:15.019081 5918 net.cpp:200] conv4_2 does not need backward computation.
I1017 23:08:15.019112 5918 net.cpp:200] relu4_1 does not need backward computation.
I1017 23:08:15.019130 5918 net.cpp:200] conv4_1 does not need backward computation.
I1017 23:08:15.019161 5918 net.cpp:200] conv3_3norm_ss does not need backward computation.
I1017 23:08:15.019174 5918 net.cpp:200] conv3_3norm_conv3_3norm_0_split does not need backward computation.
I1017 23:08:15.019206 5918 net.cpp:200] conv3_3norm does not need backward computation.
I1017 23:08:15.019227 5918 net.cpp:200] relu3_3 does not need backward computation.
I1017 23:08:15.019243 5918 net.cpp:200] conv3_3 does not need backward computation.
I1017 23:08:15.019263 5918 net.cpp:200] relu3_2 does not need backward computation.
I1017 23:08:15.019295 5918 net.cpp:200] conv3_2 does not need backward computation.
I1017 23:08:15.019315 5918 net.cpp:200] relu3_1 does not need backward computation.
I1017 23:08:15.019351 5918 net.cpp:200] conv3_1 does not need backward computation.
I1017 23:08:15.019384 5918 net.cpp:200] conv2_2norm_ss does not need backward computation.
I1017 23:08:15.019423 5918 net.cpp:200] conv2_2norm_conv2_2norm_0_split does not need backward computation.
I1017 23:08:15.019444 5918 net.cpp:200] conv2_2norm does not need backward computation.
I1017 23:08:15.019481 5918 net.cpp:200] relu2_2 does not need backward computation.
I1017 23:08:15.019513 5918 net.cpp:200] conv2_2 does not need backward computation.
I1017 23:08:15.019553 5918 net.cpp:200] relu2_1 does not need backward computation.
I1017 23:08:15.019574 5918 net.cpp:200] conv2_1 does not need backward computation.
I1017 23:08:15.019608 5918 net.cpp:200] conv1_2norm_ss does not need backward computation.
I1017 23:08:15.019632 5918 net.cpp:200] conv1_2norm_conv1_2norm_0_split does not need backward computation.
I1017 23:08:15.019665 5918 net.cpp:200] conv1_2norm does not need backward computation.
I1017 23:08:15.019702 5918 net.cpp:200] relu1_2 does not need backward computation.
I1017 23:08:15.019724 5918 net.cpp:200] conv1_2 does not need backward computation.
I1017 23:08:15.019742 5918 net.cpp:200] relu1_1 does not need backward computation.
I1017 23:08:15.019776 5918 net.cpp:200] conv1_1 does not need backward computation.
I1017 23:08:15.019810 5918 net.cpp:200] bw_conv1_1 does not need backward computation.
I1017 23:08:15.019847 5918 net.cpp:200] ab_conv1_1 does not need backward computation.
I1017 23:08:15.019870 5918 net.cpp:200] Slice does not need backward computation.
I1017 23:08:15.019901 5918 net.cpp:200] data_l_ab_mask does not need backward computation.
I1017 23:08:15.020143 5918 net.cpp:242] This network produces output pred_ab
I1017 23:08:15.020259 5918 net.cpp:255] Network initialization done.
I1017 23:08:15.447329 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/model.caffemodel
I1017 23:08:15.447433 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:15.447446 5918 net.cpp:744] Ignoring source layer img
I1017 23:08:15.447458 5918 net.cpp:744] Ignoring source layer img_lab
I1017 23:08:15.447468 5918 net.cpp:744] Ignoring source layer img_slice
I1017 23:08:15.447507 5918 net.cpp:744] Ignoring source layer data_ab_img_slice_1_split
I1017 23:08:15.447520 5918 net.cpp:744] Ignoring source layer data_l_meansub
I1017 23:08:15.447530 5918 net.cpp:744] Ignoring source layer data_ab_mask
I1017 23:08:15.455726 5918 net.cpp:744] Ignoring source layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.463327 5918 net.cpp:744] Ignoring source layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.471149 5918 net.cpp:744] Ignoring source layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.479413 5918 net.cpp:744] Ignoring source layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.483928 5918 net.cpp:744] Ignoring source layer conv8_3norm_conv8_3norm_0_split
I1017 23:08:15.485272 5918 net.cpp:744] Ignoring source layer pred_ab_2
I1017 23:08:15.485342 5918 net.cpp:744] Ignoring source layer loss_ab
I1017 23:08:15.485352 5918 net.cpp:744] Ignoring source layer loss_ab_loss_ab_0_split
I1017 23:08:15.485363 5918 net.cpp:744] Ignoring source layer data_ab_rs
I1017 23:08:15.485371 5918 net.cpp:744] Ignoring source layer gt_ab_313
I1017 23:08:15.485380 5918 net.cpp:744] Ignoring source layer conv3_pred
I1017 23:08:15.485389 5918 net.cpp:744] Ignoring source layer conv4_pred
I1017 23:08:15.485419 5918 net.cpp:744] Ignoring source layer conv5_pred
I1017 23:08:15.485437 5918 net.cpp:744] Ignoring source layer conv6_pred
I1017 23:08:15.485452 5918 net.cpp:744] Ignoring source layer conv7_pred
I1017 23:08:15.485483 5918 net.cpp:744] Ignoring source layer conv8_pred
I1017 23:08:15.485500 5918 net.cpp:744] Ignoring source layer conv345678_pred
I1017 23:08:15.485514 5918 net.cpp:744] Ignoring source layer relu345678_pred
I1017 23:08:15.485541 5918 net.cpp:744] Ignoring source layer pred_313
I1017 23:08:15.485574 5918 net.cpp:744] Ignoring source layer SoftmaxLossPred
I1017 23:08:15.485604 5918 net.cpp:744] Ignoring source layer loss_class_SoftmaxLossPred_0_split
I1017 23:08:15.485636 5918 net.cpp:744] Ignoring source layer loss_log
ColorizeImageCaffe instantiated
gpu_id = -1, net_path = ./models/reference_model/deploy_nopred.prototxt, model_path = ./models/reference_model/model.caffemodel
W1017 23:08:15.504539 5918 _caffe.cpp:139] DEPRECATION WARNING - deprecated use of Python interface
W1017 23:08:15.504582 5918 _caffe.cpp:140] Use this instead (with the named "weights" parameter):
W1017 23:08:15.504600 5918 _caffe.cpp:142] Net('./models/reference_model/deploy_nopred.prototxt', 1, weights='./models/reference_model/model.caffemodel')
I1017 23:08:15.506335 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/deploy_nopred.prototxt
I1017 23:08:15.506386 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:15.506606 5918 net.cpp:51] Initializing net from parameters:
state {
phase: TEST
level: 0
}
layer {
name: "data_l_ab_mask"
type: "Input"
top: "data_l_ab_mask"
input_param {
shape {
dim: 1
dim: 4
dim: 256
dim: 256
}
}
}
layer {
name: "Slice"
type: "Slice"
bottom: "data_l_ab_mask"
top: "data_l"
top: "data_ab_mask"
slice_param {
slice_point: 1
axis: 1
}
}
layer {
name: "ab_conv1_1"
type: "Convolution"
bottom: "data_ab_mask"
top: "ab_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "bw_conv1_1"
type: "Convolution"
bottom: "data_l"
top: "bw_conv1_1"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
}
}
layer {
name: "conv1_1"
type: "Eltwise"
bottom: "bw_conv1_1"
bottom: "ab_conv1_1"
top: "conv1_1"
}
layer {
name: "relu1_1"
type: "ReLU"
bottom: "conv1_1"
top: "conv1_1"
}
layer {
name: "conv1_2"
type: "Convolution"
bottom: "conv1_1"
top: "conv1_2"
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu1_2"
type: "ReLU"
bottom: "conv1_2"
top: "conv1_2"
}
layer {
name: "conv1_2norm"
type: "BatchNorm"
bottom: "conv1_2"
top: "conv1_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv1_2norm_ss"
type: "Convolution"
bottom: "conv1_2norm"
top: "conv1_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 64
bias_term: false
kernel_size: 1
group: 64
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv2_1"
type: "Convolution"
bottom: "conv1_2norm_ss"
top: "conv2_1"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
}
}
layer {
name: "relu2_1"
type: "ReLU"
bottom: "conv2_1"
top: "conv2_1"
}
layer {
name: "conv2_2"
type: "Convolution"
bottom: "conv2_1"
top: "conv2_2"
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu2_2"
type: "ReLU"
bottom: "conv2_2"
top: "conv2_2"
}
layer {
name: "conv2_2norm"
type: "BatchNorm"
bottom: "conv2_2"
top: "conv2_2norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv2_2norm_ss"
type: "Convolution"
bottom: "conv2_2norm"
top: "conv2_2norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 128
bias_term: false
kernel_size: 1
group: 128
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv3_1"
type: "Convolution"
bottom: "conv2_2norm_ss"
top: "conv3_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_1"
type: "ReLU"
bottom: "conv3_1"
top: "conv3_1"
}
layer {
name: "conv3_2"
type: "Convolution"
bottom: "conv3_1"
top: "conv3_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
}
}
layer {
name: "relu3_2"
type: "ReLU"
bottom: "conv3_2"
top: "conv3_2"
}
layer {
name: "conv3_3"
type: "Convolution"
bottom: "conv3_2"
top: "conv3_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
}
}
layer {
name: "relu3_3"
type: "ReLU"
bottom: "conv3_3"
top: "conv3_3"
}
layer {
name: "conv3_3norm"
type: "BatchNorm"
bottom: "conv3_3"
top: "conv3_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_3norm_ss"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3norm_ss"
param {
lr_mult: 0
decay_mult: 0
}
convolution_param {
num_output: 256
bias_term: false
kernel_size: 1
group: 256
stride: 2
weight_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv4_1"
type: "Convolution"
bottom: "conv3_3norm_ss"
top: "conv4_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_1"
type: "ReLU"
bottom: "conv4_1"
top: "conv4_1"
}
layer {
name: "conv4_2"
type: "Convolution"
bottom: "conv4_1"
top: "conv4_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_2"
type: "ReLU"
bottom: "conv4_2"
top: "conv4_2"
}
layer {
name: "conv4_3"
type: "Convolution"
bottom: "conv4_2"
top: "conv4_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
stride: 1
dilation: 1
}
}
layer {
name: "relu4_3"
type: "ReLU"
bottom: "conv4_3"
top: "conv4_3"
}
layer {
name: "conv4_3norm"
type: "BatchNorm"
bottom: "conv4_3"
top: "conv4_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv5_1"
type: "Convolution"
bottom: "conv4_3norm"
top: "conv5_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_1"
type: "ReLU"
bottom: "conv5_1"
top: "conv5_1"
}
layer {
name: "conv5_2"
type: "Convolution"
bottom: "conv5_1"
top: "conv5_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_2"
type: "ReLU"
bottom: "conv5_2"
top: "conv5_2"
}
layer {
name: "conv5_3"
type: "Convolution"
bottom: "conv5_2"
top: "conv5_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
stride: 1
dilation: 2
}
}
layer {
name: "relu5_3"
type: "ReLU"
bottom: "conv5_3"
top: "conv5_3"
}
layer {
name: "conv5_3norm"
type: "BatchNorm"
bottom: "conv5_3"
top: "conv5_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv6_1"
type: "Convolution"
bottom: "conv5_3norm"
top: "conv6_1"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_1"
type: "ReLU"
bottom: "conv6_1"
top: "conv6_1"
}
layer {
name: "conv6_2"
type: "Convolution"
bottom: "conv6_1"
top: "conv6_2"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_2"
type: "ReLU"
bottom: "conv6_2"
top: "conv6_2"
}
layer {
name: "conv6_3"
type: "Convolution"
bottom: "conv6_2"
top: "conv6_3"
convolution_param {
num_output: 512
pad: 2
kernel_size: 3
dilation: 2
}
}
layer {
name: "relu6_3"
type: "ReLU"
bottom: "conv6_3"
top: "conv6_3"
}
layer {
name: "conv6_3norm"
type: "BatchNorm"
bottom: "conv6_3"
top: "conv6_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv7_1"
type: "Convolution"
bottom: "conv6_3norm"
top: "conv7_1"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_1"
type: "ReLU"
bottom: "conv7_1"
top: "conv7_1"
}
layer {
name: "conv7_2"
type: "Convolution"
bottom: "conv7_1"
top: "conv7_2"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_2"
type: "ReLU"
bottom: "conv7_2"
top: "conv7_2"
}
layer {
name: "conv7_3"
type: "Convolution"
bottom: "conv7_2"
top: "conv7_3"
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu7_3"
type: "ReLU"
bottom: "conv7_3"
top: "conv7_3"
}
layer {
name: "conv7_3norm"
type: "BatchNorm"
bottom: "conv7_3"
top: "conv7_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv8_1"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv8_1"
convolution_param {
num_output: 256
pad: 1
kernel_size: 4
stride: 2
dilation: 1
}
}
layer {
name: "conv3_3_short"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_3_short"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "conv8_1_comb"
type: "Eltwise"
bottom: "conv8_1"
bottom: "conv3_3_short"
top: "conv8_1_comb"
}
layer {
name: "conv8_1_comb"
type: "ReLU"
bottom: "conv8_1_comb"
top: "conv8_1_comb"
}
layer {
name: "conv8_2"
type: "Convolution"
bottom: "conv8_1_comb"
top: "conv8_2"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_2"
type: "ReLU"
bottom: "conv8_2"
top: "conv8_2"
}
layer {
name: "conv8_3"
type: "Convolution"
bottom: "conv8_2"
top: "conv8_3"
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
dilation: 1
}
}
layer {
name: "relu8_3"
type: "ReLU"
bottom: "conv8_3"
top: "conv8_3"
}
layer {
name: "conv8_3norm"
type: "BatchNorm"
bottom: "conv8_3"
top: "conv8_3norm"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
batch_norm_param {
}
}
layer {
name: "conv3_pred"
type: "Convolution"
bottom: "conv3_3norm"
top: "conv3_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv4_pred"
type: "Deconvolution"
bottom: "conv4_3norm"
top: "conv4_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv5_pred"
type: "Deconvolution"
bottom: "conv5_3norm"
top: "conv5_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv6_pred"
type: "Deconvolution"
bottom: "conv6_3norm"
top: "conv6_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv7_pred"
type: "Deconvolution"
bottom: "conv7_3norm"
top: "conv7_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 4
stride: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv8_pred"
type: "Convolution"
bottom: "conv8_3norm"
top: "conv8_pred"
propagate_down: false
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
dilation: 1
}
}
layer {
name: "conv345678_pred"
type: "Eltwise"
bottom: "conv3_pred"
bottom: "conv4_pred"
bottom: "conv5_pred"
bottom: "conv6_pred"
bottom: "conv7_pred"
bottom: "conv8_pred"
top: "conv345678_pred"
}
layer {
name: "relu345678_pred"
type: "ReLU"
bottom: "conv345678_pred"
top: "conv345678_pred"
}
layer {
name: "pred_313"
type: "Convolution"
bottom: "conv345678_pred"
top: "pred_313"
convolution_param {
num_output: 313
kernel_size: 1
stride: 1
dilation: 1
}
}
layer {
name: "pred_313_us"
type: "Deconvolution"
bottom: "pred_313"
top: "pred_313_us"
param {
name: "kern_us"
}
convolution_param {
num_output: 313
bias_term: false
pad: 1
kernel_size: 4
group: 313
stride: 2
}
}
layer {
name: "pred_313_rs"
type: "Deconvolution"
bottom: "pred_313_us"
top: "pred_313_rs"
param {
name: "kern_us"
}
convolution_param {
num_output: 313
bias_term: false
pad: 1
kernel_size: 4
group: 313
stride: 2
}
}
layer {
name: "scale_S"
type: "Scale"
bottom: "pred_313_rs"
top: "scale_S"
scale_param {
filler {
type: "constant"
value: 0.2
}
}
}
layer {
name: "dist_ab_S"
type: "Softmax"
bottom: "scale_S"
top: "dist_ab_S"
}
layer {
name: "scale_T"
type: "Scale"
bottom: "pred_313_rs"
top: "scale_T"
scale_param {
filler {
type: "constant"
value: 2.6
}
}
}
layer {
name: "dist_ab"
type: "Softmax"
bottom: "scale_T"
top: "dist_ab_T"
}
layer {
name: "pred_ab"
type: "Convolution"
bottom: "dist_ab_T"
top: "pred_ab"
convolution_param {
num_output: 2
kernel_size: 1
}
}
I1017 23:08:15.509243 5918 layer_factory.hpp:77] Creating layer data_l_ab_mask
I1017 23:08:15.509280 5918 net.cpp:84] Creating Layer data_l_ab_mask
I1017 23:08:15.509294 5918 net.cpp:380] data_l_ab_mask -> data_l_ab_mask
I1017 23:08:15.509313 5918 net.cpp:122] Setting up data_l_ab_mask
I1017 23:08:15.509325 5918 net.cpp:129] Top shape: 1 4 256 256 (262144)
I1017 23:08:15.509351 5918 net.cpp:137] Memory required for data: 1048576
I1017 23:08:15.509362 5918 layer_factory.hpp:77] Creating layer Slice
I1017 23:08:15.509392 5918 net.cpp:84] Creating Layer Slice
I1017 23:08:15.509410 5918 net.cpp:406] Slice <- data_l_ab_mask
I1017 23:08:15.509429 5918 net.cpp:380] Slice -> data_l
I1017 23:08:15.509671 5918 net.cpp:380] Slice -> data_ab_mask
I1017 23:08:15.509714 5918 net.cpp:122] Setting up Slice
I1017 23:08:15.509744 5918 net.cpp:129] Top shape: 1 1 256 256 (65536)
I1017 23:08:15.509769 5918 net.cpp:129] Top shape: 1 3 256 256 (196608)
I1017 23:08:15.509783 5918 net.cpp:137] Memory required for data: 2097152
I1017 23:08:15.509793 5918 layer_factory.hpp:77] Creating layer ab_conv1_1
I1017 23:08:15.509807 5918 net.cpp:84] Creating Layer ab_conv1_1
I1017 23:08:15.509816 5918 net.cpp:406] ab_conv1_1 <- data_ab_mask
I1017 23:08:15.509830 5918 net.cpp:380] ab_conv1_1 -> ab_conv1_1
I1017 23:08:15.509949 5918 net.cpp:122] Setting up ab_conv1_1
I1017 23:08:15.509995 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510032 5918 net.cpp:137] Memory required for data: 18874368
I1017 23:08:15.510061 5918 layer_factory.hpp:77] Creating layer bw_conv1_1
I1017 23:08:15.510098 5918 net.cpp:84] Creating Layer bw_conv1_1
I1017 23:08:15.510118 5918 net.cpp:406] bw_conv1_1 <- data_l
I1017 23:08:15.510152 5918 net.cpp:380] bw_conv1_1 -> bw_conv1_1
I1017 23:08:15.510308 5918 net.cpp:122] Setting up bw_conv1_1
I1017 23:08:15.510337 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510360 5918 net.cpp:137] Memory required for data: 35651584
I1017 23:08:15.510383 5918 layer_factory.hpp:77] Creating layer conv1_1
I1017 23:08:15.510419 5918 net.cpp:84] Creating Layer conv1_1
I1017 23:08:15.510438 5918 net.cpp:406] conv1_1 <- bw_conv1_1
I1017 23:08:15.510469 5918 net.cpp:406] conv1_1 <- ab_conv1_1
I1017 23:08:15.510488 5918 net.cpp:380] conv1_1 -> conv1_1
I1017 23:08:15.510526 5918 net.cpp:122] Setting up conv1_1
I1017 23:08:15.510558 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510583 5918 net.cpp:137] Memory required for data: 52428800
I1017 23:08:15.510597 5918 layer_factory.hpp:77] Creating layer relu1_1
I1017 23:08:15.510632 5918 net.cpp:84] Creating Layer relu1_1
I1017 23:08:15.510653 5918 net.cpp:406] relu1_1 <- conv1_1
I1017 23:08:15.510689 5918 net.cpp:367] relu1_1 -> conv1_1 (in-place)
I1017 23:08:15.510725 5918 net.cpp:122] Setting up relu1_1
I1017 23:08:15.510740 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.510774 5918 net.cpp:137] Memory required for data: 69206016
I1017 23:08:15.510789 5918 layer_factory.hpp:77] Creating layer conv1_2
I1017 23:08:15.510825 5918 net.cpp:84] Creating Layer conv1_2
I1017 23:08:15.510844 5918 net.cpp:406] conv1_2 <- conv1_1
I1017 23:08:15.510880 5918 net.cpp:380] conv1_2 -> conv1_2
I1017 23:08:15.511101 5918 net.cpp:122] Setting up conv1_2
I1017 23:08:15.511129 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511149 5918 net.cpp:137] Memory required for data: 85983232
I1017 23:08:15.511186 5918 layer_factory.hpp:77] Creating layer relu1_2
I1017 23:08:15.511209 5918 net.cpp:84] Creating Layer relu1_2
I1017 23:08:15.511222 5918 net.cpp:406] relu1_2 <- conv1_2
I1017 23:08:15.511253 5918 net.cpp:367] relu1_2 -> conv1_2 (in-place)
I1017 23:08:15.511273 5918 net.cpp:122] Setting up relu1_2
I1017 23:08:15.511289 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511310 5918 net.cpp:137] Memory required for data: 102760448
I1017 23:08:15.511323 5918 layer_factory.hpp:77] Creating layer conv1_2norm
I1017 23:08:15.511345 5918 net.cpp:84] Creating Layer conv1_2norm
I1017 23:08:15.511376 5918 net.cpp:406] conv1_2norm <- conv1_2
I1017 23:08:15.511401 5918 net.cpp:380] conv1_2norm -> conv1_2norm
I1017 23:08:15.511538 5918 net.cpp:122] Setting up conv1_2norm
I1017 23:08:15.511566 5918 net.cpp:129] Top shape: 1 64 256 256 (4194304)
I1017 23:08:15.511590 5918 net.cpp:137] Memory required for data: 119537664
I1017 23:08:15.511617 5918 layer_factory.hpp:77] Creating layer conv1_2norm_ss
I1017 23:08:15.511656 5918 net.cpp:84] Creating Layer conv1_2norm_ss
I1017 23:08:15.511675 5918 net.cpp:406] conv1_2norm_ss <- conv1_2norm
I1017 23:08:15.511696 5918 net.cpp:380] conv1_2norm_ss -> conv1_2norm_ss
I1017 23:08:15.511751 5918 net.cpp:122] Setting up conv1_2norm_ss
I1017 23:08:15.511783 5918 net.cpp:129] Top shape: 1 64 128 128 (1048576)
I1017 23:08:15.511806 5918 net.cpp:137] Memory required for data: 123731968
I1017 23:08:15.511824 5918 layer_factory.hpp:77] Creating layer conv2_1
I1017 23:08:15.511862 5918 net.cpp:84] Creating Layer conv2_1
I1017 23:08:15.511880 5918 net.cpp:406] conv2_1 <- conv1_2norm_ss
I1017 23:08:15.511901 5918 net.cpp:380] conv2_1 -> conv2_1
I1017 23:08:15.512075 5918 net.cpp:122] Setting up conv2_1
I1017 23:08:15.512105 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512141 5918 net.cpp:137] Memory required for data: 132120576
I1017 23:08:15.512164 5918 layer_factory.hpp:77] Creating layer relu2_1
I1017 23:08:15.512200 5918 net.cpp:84] Creating Layer relu2_1
I1017 23:08:15.512219 5918 net.cpp:406] relu2_1 <- conv2_1
I1017 23:08:15.512238 5918 net.cpp:367] relu2_1 -> conv2_1 (in-place)
I1017 23:08:15.512274 5918 net.cpp:122] Setting up relu2_1
I1017 23:08:15.512290 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512326 5918 net.cpp:137] Memory required for data: 140509184
I1017 23:08:15.512342 5918 layer_factory.hpp:77] Creating layer conv2_2
I1017 23:08:15.512362 5918 net.cpp:84] Creating Layer conv2_2
I1017 23:08:15.512394 5918 net.cpp:406] conv2_2 <- conv2_1
I1017 23:08:15.512409 5918 net.cpp:380] conv2_2 -> conv2_2
I1017 23:08:15.512668 5918 net.cpp:122] Setting up conv2_2
I1017 23:08:15.512698 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512722 5918 net.cpp:137] Memory required for data: 148897792
I1017 23:08:15.512742 5918 layer_factory.hpp:77] Creating layer relu2_2
I1017 23:08:15.512778 5918 net.cpp:84] Creating Layer relu2_2
I1017 23:08:15.512797 5918 net.cpp:406] relu2_2 <- conv2_2
I1017 23:08:15.512814 5918 net.cpp:367] relu2_2 -> conv2_2 (in-place)
I1017 23:08:15.512850 5918 net.cpp:122] Setting up relu2_2
I1017 23:08:15.512867 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.512890 5918 net.cpp:137] Memory required for data: 157286400
I1017 23:08:15.512904 5918 layer_factory.hpp:77] Creating layer conv2_2norm
I1017 23:08:15.512941 5918 net.cpp:84] Creating Layer conv2_2norm
I1017 23:08:15.512960 5918 net.cpp:406] conv2_2norm <- conv2_2
I1017 23:08:15.512979 5918 net.cpp:380] conv2_2norm -> conv2_2norm
I1017 23:08:15.513056 5918 net.cpp:122] Setting up conv2_2norm
I1017 23:08:15.513085 5918 net.cpp:129] Top shape: 1 128 128 128 (2097152)
I1017 23:08:15.513108 5918 net.cpp:137] Memory required for data: 165675008
I1017 23:08:15.513152 5918 layer_factory.hpp:77] Creating layer conv2_2norm_ss
I1017 23:08:15.513178 5918 net.cpp:84] Creating Layer conv2_2norm_ss
I1017 23:08:15.513195 5918 net.cpp:406] conv2_2norm_ss <- conv2_2norm
I1017 23:08:15.513213 5918 net.cpp:380] conv2_2norm_ss -> conv2_2norm_ss
I1017 23:08:15.513262 5918 net.cpp:122] Setting up conv2_2norm_ss
I1017 23:08:15.513290 5918 net.cpp:129] Top shape: 1 128 64 64 (524288)
I1017 23:08:15.513310 5918 net.cpp:137] Memory required for data: 167772160
I1017 23:08:15.513330 5918 layer_factory.hpp:77] Creating layer conv3_1
I1017 23:08:15.513351 5918 net.cpp:84] Creating Layer conv3_1
I1017 23:08:15.513378 5918 net.cpp:406] conv3_1 <- conv2_2norm_ss
I1017 23:08:15.513398 5918 net.cpp:380] conv3_1 -> conv3_1
I1017 23:08:15.513893 5918 net.cpp:122] Setting up conv3_1
I1017 23:08:15.513989 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.514051 5918 net.cpp:137] Memory required for data: 171966464
I1017 23:08:15.514073 5918 layer_factory.hpp:77] Creating layer relu3_1
I1017 23:08:15.514104 5918 net.cpp:84] Creating Layer relu3_1
I1017 23:08:15.514119 5918 net.cpp:406] relu3_1 <- conv3_1
I1017 23:08:15.514147 5918 net.cpp:367] relu3_1 -> conv3_1 (in-place)
I1017 23:08:15.514178 5918 net.cpp:122] Setting up relu3_1
I1017 23:08:15.514204 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.514223 5918 net.cpp:137] Memory required for data: 176160768
I1017 23:08:15.514235 5918 layer_factory.hpp:77] Creating layer conv3_2
I1017 23:08:15.514266 5918 net.cpp:84] Creating Layer conv3_2
I1017 23:08:15.514292 5918 net.cpp:406] conv3_2 <- conv3_1
I1017 23:08:15.514312 5918 net.cpp:380] conv3_2 -> conv3_2
I1017 23:08:15.516732 5918 net.cpp:122] Setting up conv3_2
I1017 23:08:15.516779 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.516798 5918 net.cpp:137] Memory required for data: 180355072
I1017 23:08:15.516836 5918 layer_factory.hpp:77] Creating layer relu3_2
I1017 23:08:15.516882 5918 net.cpp:84] Creating Layer relu3_2
I1017 23:08:15.516898 5918 net.cpp:406] relu3_2 <- conv3_2
I1017 23:08:15.516914 5918 net.cpp:367] relu3_2 -> conv3_2 (in-place)
I1017 23:08:15.516957 5918 net.cpp:122] Setting up relu3_2
I1017 23:08:15.516969 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.517012 5918 net.cpp:137] Memory required for data: 184549376
I1017 23:08:15.517025 5918 layer_factory.hpp:77] Creating layer conv3_3
I1017 23:08:15.517045 5918 net.cpp:84] Creating Layer conv3_3
I1017 23:08:15.517069 5918 net.cpp:406] conv3_3 <- conv3_2
I1017 23:08:15.517089 5918 net.cpp:380] conv3_3 -> conv3_3
I1017 23:08:15.519098 5918 net.cpp:122] Setting up conv3_3
I1017 23:08:15.519155 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519173 5918 net.cpp:137] Memory required for data: 188743680
I1017 23:08:15.519191 5918 layer_factory.hpp:77] Creating layer relu3_3
I1017 23:08:15.519209 5918 net.cpp:84] Creating Layer relu3_3
I1017 23:08:15.519223 5918 net.cpp:406] relu3_3 <- conv3_3
I1017 23:08:15.519238 5918 net.cpp:367] relu3_3 -> conv3_3 (in-place)
I1017 23:08:15.519268 5918 net.cpp:122] Setting up relu3_3
I1017 23:08:15.519282 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519299 5918 net.cpp:137] Memory required for data: 192937984
I1017 23:08:15.519313 5918 layer_factory.hpp:77] Creating layer conv3_3norm
I1017 23:08:15.519347 5918 net.cpp:84] Creating Layer conv3_3norm
I1017 23:08:15.519373 5918 net.cpp:406] conv3_3norm <- conv3_3
I1017 23:08:15.519407 5918 net.cpp:380] conv3_3norm -> conv3_3norm
I1017 23:08:15.519459 5918 net.cpp:122] Setting up conv3_3norm
I1017 23:08:15.519493 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519510 5918 net.cpp:137] Memory required for data: 197132288
I1017 23:08:15.519536 5918 layer_factory.hpp:77] Creating layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519556 5918 net.cpp:84] Creating Layer conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519572 5918 net.cpp:406] conv3_3norm_conv3_3norm_0_split <- conv3_3norm
I1017 23:08:15.519589 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:15.519623 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:15.519647 5918 net.cpp:380] conv3_3norm_conv3_3norm_0_split -> conv3_3norm_conv3_3norm_0_split_2
I1017 23:08:15.519671 5918 net.cpp:122] Setting up conv3_3norm_conv3_3norm_0_split
I1017 23:08:15.519686 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519706 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519737 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.519757 5918 net.cpp:137] Memory required for data: 209715200
I1017 23:08:15.519771 5918 layer_factory.hpp:77] Creating layer conv3_3norm_ss
I1017 23:08:15.519794 5918 net.cpp:84] Creating Layer conv3_3norm_ss
I1017 23:08:15.519822 5918 net.cpp:406] conv3_3norm_ss <- conv3_3norm_conv3_3norm_0_split_0
I1017 23:08:15.519855 5918 net.cpp:380] conv3_3norm_ss -> conv3_3norm_ss
I1017 23:08:15.519889 5918 net.cpp:122] Setting up conv3_3norm_ss
I1017 23:08:15.519902 5918 net.cpp:129] Top shape: 1 256 32 32 (262144)
I1017 23:08:15.519917 5918 net.cpp:137] Memory required for data: 210763776
I1017 23:08:15.519948 5918 layer_factory.hpp:77] Creating layer conv4_1
I1017 23:08:15.519981 5918 net.cpp:84] Creating Layer conv4_1
I1017 23:08:15.519996 5918 net.cpp:406] conv4_1 <- conv3_3norm_ss
I1017 23:08:15.520016 5918 net.cpp:380] conv4_1 -> conv4_1
I1017 23:08:15.524555 5918 net.cpp:122] Setting up conv4_1
I1017 23:08:15.524621 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.524641 5918 net.cpp:137] Memory required for data: 212860928
I1017 23:08:15.524662 5918 layer_factory.hpp:77] Creating layer relu4_1
I1017 23:08:15.524698 5918 net.cpp:84] Creating Layer relu4_1
I1017 23:08:15.524726 5918 net.cpp:406] relu4_1 <- conv4_1
I1017 23:08:15.524746 5918 net.cpp:367] relu4_1 -> conv4_1 (in-place)
I1017 23:08:15.524791 5918 net.cpp:122] Setting up relu4_1
I1017 23:08:15.524803 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.524823 5918 net.cpp:137] Memory required for data: 214958080
I1017 23:08:15.524835 5918 layer_factory.hpp:77] Creating layer conv4_2
I1017 23:08:15.524868 5918 net.cpp:84] Creating Layer conv4_2
I1017 23:08:15.524896 5918 net.cpp:406] conv4_2 <- conv4_1
I1017 23:08:15.524927 5918 net.cpp:380] conv4_2 -> conv4_2
I1017 23:08:15.528928 5918 net.cpp:122] Setting up conv4_2
I1017 23:08:15.528976 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.529002 5918 net.cpp:137] Memory required for data: 217055232
I1017 23:08:15.529033 5918 layer_factory.hpp:77] Creating layer relu4_2
I1017 23:08:15.529049 5918 net.cpp:84] Creating Layer relu4_2
I1017 23:08:15.529057 5918 net.cpp:406] relu4_2 <- conv4_2
I1017 23:08:15.529064 5918 net.cpp:367] relu4_2 -> conv4_2 (in-place)
I1017 23:08:15.529074 5918 net.cpp:122] Setting up relu4_2
I1017 23:08:15.529079 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.529084 5918 net.cpp:137] Memory required for data: 219152384
I1017 23:08:15.529089 5918 layer_factory.hpp:77] Creating layer conv4_3
I1017 23:08:15.529098 5918 net.cpp:84] Creating Layer conv4_3
I1017 23:08:15.529103 5918 net.cpp:406] conv4_3 <- conv4_2
I1017 23:08:15.529109 5918 net.cpp:380] conv4_3 -> conv4_3
I1017 23:08:15.534245 5918 net.cpp:122] Setting up conv4_3
I1017 23:08:15.534301 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534312 5918 net.cpp:137] Memory required for data: 221249536
I1017 23:08:15.534323 5918 layer_factory.hpp:77] Creating layer relu4_3
I1017 23:08:15.534370 5918 net.cpp:84] Creating Layer relu4_3
I1017 23:08:15.534390 5918 net.cpp:406] relu4_3 <- conv4_3
I1017 23:08:15.534411 5918 net.cpp:367] relu4_3 -> conv4_3 (in-place)
I1017 23:08:15.534446 5918 net.cpp:122] Setting up relu4_3
I1017 23:08:15.534464 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534471 5918 net.cpp:137] Memory required for data: 223346688
I1017 23:08:15.534476 5918 layer_factory.hpp:77] Creating layer conv4_3norm
I1017 23:08:15.534502 5918 net.cpp:84] Creating Layer conv4_3norm
I1017 23:08:15.534521 5918 net.cpp:406] conv4_3norm <- conv4_3
I1017 23:08:15.534555 5918 net.cpp:380] conv4_3norm -> conv4_3norm
I1017 23:08:15.534596 5918 net.cpp:122] Setting up conv4_3norm
I1017 23:08:15.534615 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534626 5918 net.cpp:137] Memory required for data: 225443840
I1017 23:08:15.534633 5918 layer_factory.hpp:77] Creating layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534642 5918 net.cpp:84] Creating Layer conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534648 5918 net.cpp:406] conv4_3norm_conv4_3norm_0_split <- conv4_3norm
I1017 23:08:15.534657 5918 net.cpp:380] conv4_3norm_conv4_3norm_0_split -> conv4_3norm_conv4_3norm_0_split_0
I1017 23:08:15.534663 5918 net.cpp:380] conv4_3norm_conv4_3norm_0_split -> conv4_3norm_conv4_3norm_0_split_1
I1017 23:08:15.534670 5918 net.cpp:122] Setting up conv4_3norm_conv4_3norm_0_split
I1017 23:08:15.534687 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534703 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.534708 5918 net.cpp:137] Memory required for data: 229638144
I1017 23:08:15.534723 5918 layer_factory.hpp:77] Creating layer conv5_1
I1017 23:08:15.534732 5918 net.cpp:84] Creating Layer conv5_1
I1017 23:08:15.534747 5918 net.cpp:406] conv5_1 <- conv4_3norm_conv4_3norm_0_split_0
I1017 23:08:15.534754 5918 net.cpp:380] conv5_1 -> conv5_1
I1017 23:08:15.538700 5918 net.cpp:122] Setting up conv5_1
I1017 23:08:15.538803 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.538815 5918 net.cpp:137] Memory required for data: 231735296
I1017 23:08:15.538825 5918 layer_factory.hpp:77] Creating layer relu5_1
I1017 23:08:15.538836 5918 net.cpp:84] Creating Layer relu5_1
I1017 23:08:15.538841 5918 net.cpp:406] relu5_1 <- conv5_1
I1017 23:08:15.538848 5918 net.cpp:367] relu5_1 -> conv5_1 (in-place)
I1017 23:08:15.538857 5918 net.cpp:122] Setting up relu5_1
I1017 23:08:15.538873 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.538880 5918 net.cpp:137] Memory required for data: 233832448
I1017 23:08:15.538898 5918 layer_factory.hpp:77] Creating layer conv5_2
I1017 23:08:15.538908 5918 net.cpp:84] Creating Layer conv5_2
I1017 23:08:15.538914 5918 net.cpp:406] conv5_2 <- conv5_1
I1017 23:08:15.538919 5918 net.cpp:380] conv5_2 -> conv5_2
I1017 23:08:15.542616 5918 net.cpp:122] Setting up conv5_2
I1017 23:08:15.542698 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.542732 5918 net.cpp:137] Memory required for data: 235929600
I1017 23:08:15.542758 5918 layer_factory.hpp:77] Creating layer relu5_2
I1017 23:08:15.542810 5918 net.cpp:84] Creating Layer relu5_2
I1017 23:08:15.542845 5918 net.cpp:406] relu5_2 <- conv5_2
I1017 23:08:15.542881 5918 net.cpp:367] relu5_2 -> conv5_2 (in-place)
I1017 23:08:15.542906 5918 net.cpp:122] Setting up relu5_2
I1017 23:08:15.542948 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.542969 5918 net.cpp:137] Memory required for data: 238026752
I1017 23:08:15.542984 5918 layer_factory.hpp:77] Creating layer conv5_3
I1017 23:08:15.543006 5918 net.cpp:84] Creating Layer conv5_3
I1017 23:08:15.543035 5918 net.cpp:406] conv5_3 <- conv5_2
I1017 23:08:15.543056 5918 net.cpp:380] conv5_3 -> conv5_3
I1017 23:08:15.548581 5918 net.cpp:122] Setting up conv5_3
I1017 23:08:15.548647 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548657 5918 net.cpp:137] Memory required for data: 240123904
I1017 23:08:15.548666 5918 layer_factory.hpp:77] Creating layer relu5_3
I1017 23:08:15.548678 5918 net.cpp:84] Creating Layer relu5_3
I1017 23:08:15.548684 5918 net.cpp:406] relu5_3 <- conv5_3
I1017 23:08:15.548692 5918 net.cpp:367] relu5_3 -> conv5_3 (in-place)
I1017 23:08:15.548722 5918 net.cpp:122] Setting up relu5_3
I1017 23:08:15.548732 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548738 5918 net.cpp:137] Memory required for data: 242221056
I1017 23:08:15.548741 5918 layer_factory.hpp:77] Creating layer conv5_3norm
I1017 23:08:15.548748 5918 net.cpp:84] Creating Layer conv5_3norm
I1017 23:08:15.548755 5918 net.cpp:406] conv5_3norm <- conv5_3
I1017 23:08:15.548763 5918 net.cpp:380] conv5_3norm -> conv5_3norm
I1017 23:08:15.548776 5918 net.cpp:122] Setting up conv5_3norm
I1017 23:08:15.548784 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548789 5918 net.cpp:137] Memory required for data: 244318208
I1017 23:08:15.548796 5918 layer_factory.hpp:77] Creating layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548804 5918 net.cpp:84] Creating Layer conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548810 5918 net.cpp:406] conv5_3norm_conv5_3norm_0_split <- conv5_3norm
I1017 23:08:15.548815 5918 net.cpp:380] conv5_3norm_conv5_3norm_0_split -> conv5_3norm_conv5_3norm_0_split_0
I1017 23:08:15.548856 5918 net.cpp:380] conv5_3norm_conv5_3norm_0_split -> conv5_3norm_conv5_3norm_0_split_1
I1017 23:08:15.548900 5918 net.cpp:122] Setting up conv5_3norm_conv5_3norm_0_split
I1017 23:08:15.548929 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548949 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.548956 5918 net.cpp:137] Memory required for data: 248512512
I1017 23:08:15.548960 5918 layer_factory.hpp:77] Creating layer conv6_1
I1017 23:08:15.548990 5918 net.cpp:84] Creating Layer conv6_1
I1017 23:08:15.549017 5918 net.cpp:406] conv6_1 <- conv5_3norm_conv5_3norm_0_split_0
I1017 23:08:15.549051 5918 net.cpp:380] conv6_1 -> conv6_1
I1017 23:08:15.555788 5918 net.cpp:122] Setting up conv6_1
I1017 23:08:15.555840 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.555856 5918 net.cpp:137] Memory required for data: 250609664
I1017 23:08:15.555896 5918 layer_factory.hpp:77] Creating layer relu6_1
I1017 23:08:15.555927 5918 net.cpp:84] Creating Layer relu6_1
I1017 23:08:15.555958 5918 net.cpp:406] relu6_1 <- conv6_1
I1017 23:08:15.555979 5918 net.cpp:367] relu6_1 -> conv6_1 (in-place)
I1017 23:08:15.556012 5918 net.cpp:122] Setting up relu6_1
I1017 23:08:15.556028 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.556067 5918 net.cpp:137] Memory required for data: 252706816
I1017 23:08:15.556100 5918 layer_factory.hpp:77] Creating layer conv6_2
I1017 23:08:15.556149 5918 net.cpp:84] Creating Layer conv6_2
I1017 23:08:15.556169 5918 net.cpp:406] conv6_2 <- conv6_1
I1017 23:08:15.556183 5918 net.cpp:380] conv6_2 -> conv6_2
I1017 23:08:15.563122 5918 net.cpp:122] Setting up conv6_2
I1017 23:08:15.563169 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.563194 5918 net.cpp:137] Memory required for data: 254803968
I1017 23:08:15.563232 5918 layer_factory.hpp:77] Creating layer relu6_2
I1017 23:08:15.563251 5918 net.cpp:84] Creating Layer relu6_2
I1017 23:08:15.563275 5918 net.cpp:406] relu6_2 <- conv6_2
I1017 23:08:15.563290 5918 net.cpp:367] relu6_2 -> conv6_2 (in-place)
I1017 23:08:15.563321 5918 net.cpp:122] Setting up relu6_2
I1017 23:08:15.563339 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.563372 5918 net.cpp:137] Memory required for data: 256901120
I1017 23:08:15.563405 5918 layer_factory.hpp:77] Creating layer conv6_3
I1017 23:08:15.563431 5918 net.cpp:84] Creating Layer conv6_3
I1017 23:08:15.563454 5918 net.cpp:406] conv6_3 <- conv6_2
I1017 23:08:15.563473 5918 net.cpp:380] conv6_3 -> conv6_3
I1017 23:08:15.572016 5918 net.cpp:122] Setting up conv6_3
I1017 23:08:15.572070 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572093 5918 net.cpp:137] Memory required for data: 258998272
I1017 23:08:15.572116 5918 layer_factory.hpp:77] Creating layer relu6_3
I1017 23:08:15.572154 5918 net.cpp:84] Creating Layer relu6_3
I1017 23:08:15.572185 5918 net.cpp:406] relu6_3 <- conv6_3
I1017 23:08:15.572218 5918 net.cpp:367] relu6_3 -> conv6_3 (in-place)
I1017 23:08:15.572253 5918 net.cpp:122] Setting up relu6_3
I1017 23:08:15.572281 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572314 5918 net.cpp:137] Memory required for data: 261095424
I1017 23:08:15.572342 5918 layer_factory.hpp:77] Creating layer conv6_3norm
I1017 23:08:15.572376 5918 net.cpp:84] Creating Layer conv6_3norm
I1017 23:08:15.572404 5918 net.cpp:406] conv6_3norm <- conv6_3
I1017 23:08:15.572440 5918 net.cpp:380] conv6_3norm -> conv6_3norm
I1017 23:08:15.572494 5918 net.cpp:122] Setting up conv6_3norm
I1017 23:08:15.572510 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572542 5918 net.cpp:137] Memory required for data: 263192576
I1017 23:08:15.572582 5918 layer_factory.hpp:77] Creating layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572615 5918 net.cpp:84] Creating Layer conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572644 5918 net.cpp:406] conv6_3norm_conv6_3norm_0_split <- conv6_3norm
I1017 23:08:15.572677 5918 net.cpp:380] conv6_3norm_conv6_3norm_0_split -> conv6_3norm_conv6_3norm_0_split_0
I1017 23:08:15.572715 5918 net.cpp:380] conv6_3norm_conv6_3norm_0_split -> conv6_3norm_conv6_3norm_0_split_1
I1017 23:08:15.572752 5918 net.cpp:122] Setting up conv6_3norm_conv6_3norm_0_split
I1017 23:08:15.572780 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572814 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.572846 5918 net.cpp:137] Memory required for data: 267386880
I1017 23:08:15.572875 5918 layer_factory.hpp:77] Creating layer conv7_1
I1017 23:08:15.572911 5918 net.cpp:84] Creating Layer conv7_1
I1017 23:08:15.572939 5918 net.cpp:406] conv7_1 <- conv6_3norm_conv6_3norm_0_split_0
I1017 23:08:15.572973 5918 net.cpp:380] conv7_1 -> conv7_1
I1017 23:08:15.583376 5918 net.cpp:122] Setting up conv7_1
I1017 23:08:15.583426 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.583443 5918 net.cpp:137] Memory required for data: 269484032
I1017 23:08:15.583462 5918 layer_factory.hpp:77] Creating layer relu7_1
I1017 23:08:15.583479 5918 net.cpp:84] Creating Layer relu7_1
I1017 23:08:15.583515 5918 net.cpp:406] relu7_1 <- conv7_1
I1017 23:08:15.583551 5918 net.cpp:367] relu7_1 -> conv7_1 (in-place)
I1017 23:08:15.583576 5918 net.cpp:122] Setting up relu7_1
I1017 23:08:15.583604 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.583626 5918 net.cpp:137] Memory required for data: 271581184
I1017 23:08:15.583640 5918 layer_factory.hpp:77] Creating layer conv7_2
I1017 23:08:15.583662 5918 net.cpp:84] Creating Layer conv7_2
I1017 23:08:15.583691 5918 net.cpp:406] conv7_2 <- conv7_1
I1017 23:08:15.583712 5918 net.cpp:380] conv7_2 -> conv7_2
I1017 23:08:15.590440 5918 net.cpp:122] Setting up conv7_2
I1017 23:08:15.590520 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.590555 5918 net.cpp:137] Memory required for data: 273678336
I1017 23:08:15.590585 5918 layer_factory.hpp:77] Creating layer relu7_2
I1017 23:08:15.590610 5918 net.cpp:84] Creating Layer relu7_2
I1017 23:08:15.590636 5918 net.cpp:406] relu7_2 <- conv7_2
I1017 23:08:15.590677 5918 net.cpp:367] relu7_2 -> conv7_2 (in-place)
I1017 23:08:15.590715 5918 net.cpp:122] Setting up relu7_2
I1017 23:08:15.590751 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.590790 5918 net.cpp:137] Memory required for data: 275775488
I1017 23:08:15.590823 5918 layer_factory.hpp:77] Creating layer conv7_3
I1017 23:08:15.590847 5918 net.cpp:84] Creating Layer conv7_3
I1017 23:08:15.590878 5918 net.cpp:406] conv7_3 <- conv7_2
I1017 23:08:15.590925 5918 net.cpp:380] conv7_3 -> conv7_3
I1017 23:08:15.597959 5918 net.cpp:122] Setting up conv7_3
I1017 23:08:15.598060 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598083 5918 net.cpp:137] Memory required for data: 277872640
I1017 23:08:15.598111 5918 layer_factory.hpp:77] Creating layer relu7_3
I1017 23:08:15.598139 5918 net.cpp:84] Creating Layer relu7_3
I1017 23:08:15.598171 5918 net.cpp:406] relu7_3 <- conv7_3
I1017 23:08:15.598209 5918 net.cpp:367] relu7_3 -> conv7_3 (in-place)
I1017 23:08:15.598246 5918 net.cpp:122] Setting up relu7_3
I1017 23:08:15.598261 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598294 5918 net.cpp:137] Memory required for data: 279969792
I1017 23:08:15.598309 5918 layer_factory.hpp:77] Creating layer conv7_3norm
I1017 23:08:15.598345 5918 net.cpp:84] Creating Layer conv7_3norm
I1017 23:08:15.598377 5918 net.cpp:406] conv7_3norm <- conv7_3
I1017 23:08:15.598398 5918 net.cpp:380] conv7_3norm -> conv7_3norm
I1017 23:08:15.598457 5918 net.cpp:122] Setting up conv7_3norm
I1017 23:08:15.598502 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598522 5918 net.cpp:137] Memory required for data: 282066944
I1017 23:08:15.598542 5918 layer_factory.hpp:77] Creating layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598557 5918 net.cpp:84] Creating Layer conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598569 5918 net.cpp:406] conv7_3norm_conv7_3norm_0_split <- conv7_3norm
I1017 23:08:15.598583 5918 net.cpp:380] conv7_3norm_conv7_3norm_0_split -> conv7_3norm_conv7_3norm_0_split_0
I1017 23:08:15.598611 5918 net.cpp:380] conv7_3norm_conv7_3norm_0_split -> conv7_3norm_conv7_3norm_0_split_1
I1017 23:08:15.598631 5918 net.cpp:122] Setting up conv7_3norm_conv7_3norm_0_split
I1017 23:08:15.598641 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598667 5918 net.cpp:129] Top shape: 1 512 32 32 (524288)
I1017 23:08:15.598682 5918 net.cpp:137] Memory required for data: 286261248
I1017 23:08:15.598692 5918 layer_factory.hpp:77] Creating layer conv8_1
I1017 23:08:15.598711 5918 net.cpp:84] Creating Layer conv8_1
I1017 23:08:15.598721 5918 net.cpp:406] conv8_1 <- conv7_3norm_conv7_3norm_0_split_0
I1017 23:08:15.598737 5918 net.cpp:380] conv8_1 -> conv8_1
I1017 23:08:15.606047 5918 net.cpp:122] Setting up conv8_1
I1017 23:08:15.606110 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.606128 5918 net.cpp:137] Memory required for data: 290455552
I1017 23:08:15.606153 5918 layer_factory.hpp:77] Creating layer conv3_3_short
I1017 23:08:15.606174 5918 net.cpp:84] Creating Layer conv3_3_short
I1017 23:08:15.606186 5918 net.cpp:406] conv3_3_short <- conv3_3norm_conv3_3norm_0_split_1
I1017 23:08:15.606202 5918 net.cpp:380] conv3_3_short -> conv3_3_short
I1017 23:08:15.616171 5918 net.cpp:122] Setting up conv3_3_short
I1017 23:08:15.616231 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616250 5918 net.cpp:137] Memory required for data: 294649856
I1017 23:08:15.616273 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:15.616297 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:15.616333 5918 net.cpp:406] conv8_1_comb <- conv8_1
I1017 23:08:15.616351 5918 net.cpp:406] conv8_1_comb <- conv3_3_short
I1017 23:08:15.616369 5918 net.cpp:380] conv8_1_comb -> conv8_1_comb
I1017 23:08:15.616395 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:15.616410 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616430 5918 net.cpp:137] Memory required for data: 298844160
I1017 23:08:15.616449 5918 layer_factory.hpp:77] Creating layer conv8_1_comb
I1017 23:08:15.616469 5918 net.cpp:84] Creating Layer conv8_1_comb
I1017 23:08:15.616518 5918 net.cpp:406] conv8_1_comb <- conv8_1_comb
I1017 23:08:15.616539 5918 net.cpp:367] conv8_1_comb -> conv8_1_comb (in-place)
I1017 23:08:15.616564 5918 net.cpp:122] Setting up conv8_1_comb
I1017 23:08:15.616600 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.616621 5918 net.cpp:137] Memory required for data: 303038464
I1017 23:08:15.616653 5918 layer_factory.hpp:77] Creating layer conv8_2
I1017 23:08:15.616695 5918 net.cpp:84] Creating Layer conv8_2
I1017 23:08:15.616729 5918 net.cpp:406] conv8_2 <- conv8_1_comb
I1017 23:08:15.616770 5918 net.cpp:380] conv8_2 -> conv8_2
I1017 23:08:15.619094 5918 net.cpp:122] Setting up conv8_2
I1017 23:08:15.619138 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.619154 5918 net.cpp:137] Memory required for data: 307232768
I1017 23:08:15.619190 5918 layer_factory.hpp:77] Creating layer relu8_2
I1017 23:08:15.619227 5918 net.cpp:84] Creating Layer relu8_2
I1017 23:08:15.619261 5918 net.cpp:406] relu8_2 <- conv8_2
I1017 23:08:15.619285 5918 net.cpp:367] relu8_2 -> conv8_2 (in-place)
I1017 23:08:15.619313 5918 net.cpp:122] Setting up relu8_2
I1017 23:08:15.619336 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.619357 5918 net.cpp:137] Memory required for data: 311427072
I1017 23:08:15.619387 5918 layer_factory.hpp:77] Creating layer conv8_3
I1017 23:08:15.619438 5918 net.cpp:84] Creating Layer conv8_3
I1017 23:08:15.619457 5918 net.cpp:406] conv8_3 <- conv8_2
I1017 23:08:15.619472 5918 net.cpp:380] conv8_3 -> conv8_3
I1017 23:08:15.621006 5918 net.cpp:122] Setting up conv8_3
I1017 23:08:15.621042 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621058 5918 net.cpp:137] Memory required for data: 315621376
I1017 23:08:15.621091 5918 layer_factory.hpp:77] Creating layer relu8_3
I1017 23:08:15.621129 5918 net.cpp:84] Creating Layer relu8_3
I1017 23:08:15.621161 5918 net.cpp:406] relu8_3 <- conv8_3
I1017 23:08:15.621212 5918 net.cpp:367] relu8_3 -> conv8_3 (in-place)
I1017 23:08:15.621235 5918 net.cpp:122] Setting up relu8_3
I1017 23:08:15.621245 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621292 5918 net.cpp:137] Memory required for data: 319815680
I1017 23:08:15.621306 5918 layer_factory.hpp:77] Creating layer conv8_3norm
I1017 23:08:15.621321 5918 net.cpp:84] Creating Layer conv8_3norm
I1017 23:08:15.621348 5918 net.cpp:406] conv8_3norm <- conv8_3
I1017 23:08:15.621398 5918 net.cpp:380] conv8_3norm -> conv8_3norm
I1017 23:08:15.621493 5918 net.cpp:122] Setting up conv8_3norm
I1017 23:08:15.621546 5918 net.cpp:129] Top shape: 1 256 64 64 (1048576)
I1017 23:08:15.621567 5918 net.cpp:137] Memory required for data: 324009984
I1017 23:08:15.621613 5918 layer_factory.hpp:77] Creating layer conv3_pred
I1017 23:08:15.621649 5918 net.cpp:84] Creating Layer conv3_pred
I1017 23:08:15.621667 5918 net.cpp:406] conv3_pred <- conv3_3norm_conv3_3norm_0_split_2
I1017 23:08:15.621687 5918 net.cpp:380] conv3_pred -> conv3_pred
I1017 23:08:15.633955 5918 net.cpp:122] Setting up conv3_pred
I1017 23:08:15.634009 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.634032 5918 net.cpp:137] Memory required for data: 330301440
I1017 23:08:15.634058 5918 layer_factory.hpp:77] Creating layer conv4_pred
I1017 23:08:15.634096 5918 net.cpp:84] Creating Layer conv4_pred
I1017 23:08:15.634129 5918 net.cpp:406] conv4_pred <- conv4_3norm_conv4_3norm_0_split_1
I1017 23:08:15.634153 5918 net.cpp:380] conv4_pred -> conv4_pred
I1017 23:08:15.686550 5918 net.cpp:122] Setting up conv4_pred
I1017 23:08:15.686623 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.686653 5918 net.cpp:137] Memory required for data: 336592896
I1017 23:08:15.686682 5918 layer_factory.hpp:77] Creating layer conv5_pred
I1017 23:08:15.686709 5918 net.cpp:84] Creating Layer conv5_pred
I1017 23:08:15.686738 5918 net.cpp:406] conv5_pred <- conv5_3norm_conv5_3norm_0_split_1
I1017 23:08:15.686750 5918 net.cpp:380] conv5_pred -> conv5_pred
I1017 23:08:15.731776 5918 net.cpp:122] Setting up conv5_pred
I1017 23:08:15.731832 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.731849 5918 net.cpp:137] Memory required for data: 342884352
I1017 23:08:15.731866 5918 layer_factory.hpp:77] Creating layer conv6_pred
I1017 23:08:15.731910 5918 net.cpp:84] Creating Layer conv6_pred
I1017 23:08:15.731936 5918 net.cpp:406] conv6_pred <- conv6_3norm_conv6_3norm_0_split_1
I1017 23:08:15.731984 5918 net.cpp:380] conv6_pred -> conv6_pred
I1017 23:08:15.793722 5918 net.cpp:122] Setting up conv6_pred
I1017 23:08:15.793926 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.793967 5918 net.cpp:137] Memory required for data: 349175808
I1017 23:08:15.793995 5918 layer_factory.hpp:77] Creating layer conv7_pred
I1017 23:08:15.794035 5918 net.cpp:84] Creating Layer conv7_pred
I1017 23:08:15.794050 5918 net.cpp:406] conv7_pred <- conv7_3norm_conv7_3norm_0_split_1
I1017 23:08:15.794070 5918 net.cpp:380] conv7_pred -> conv7_pred
I1017 23:08:15.848439 5918 net.cpp:122] Setting up conv7_pred
I1017 23:08:15.848496 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.848541 5918 net.cpp:137] Memory required for data: 355467264
I1017 23:08:15.848587 5918 layer_factory.hpp:77] Creating layer conv8_pred
I1017 23:08:15.848616 5918 net.cpp:84] Creating Layer conv8_pred
I1017 23:08:15.848682 5918 net.cpp:406] conv8_pred <- conv8_3norm
I1017 23:08:15.848714 5918 net.cpp:380] conv8_pred -> conv8_pred
I1017 23:08:15.867234 5918 net.cpp:122] Setting up conv8_pred
I1017 23:08:15.867287 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867343 5918 net.cpp:137] Memory required for data: 361758720
I1017 23:08:15.867384 5918 layer_factory.hpp:77] Creating layer conv345678_pred
I1017 23:08:15.867424 5918 net.cpp:84] Creating Layer conv345678_pred
I1017 23:08:15.867456 5918 net.cpp:406] conv345678_pred <- conv3_pred
I1017 23:08:15.867475 5918 net.cpp:406] conv345678_pred <- conv4_pred
I1017 23:08:15.867506 5918 net.cpp:406] conv345678_pred <- conv5_pred
I1017 23:08:15.867523 5918 net.cpp:406] conv345678_pred <- conv6_pred
I1017 23:08:15.867554 5918 net.cpp:406] conv345678_pred <- conv7_pred
I1017 23:08:15.867570 5918 net.cpp:406] conv345678_pred <- conv8_pred
I1017 23:08:15.867605 5918 net.cpp:380] conv345678_pred -> conv345678_pred
I1017 23:08:15.867647 5918 net.cpp:122] Setting up conv345678_pred
I1017 23:08:15.867677 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867714 5918 net.cpp:137] Memory required for data: 368050176
I1017 23:08:15.867730 5918 layer_factory.hpp:77] Creating layer relu345678_pred
I1017 23:08:15.867763 5918 net.cpp:84] Creating Layer relu345678_pred
I1017 23:08:15.867779 5918 net.cpp:406] relu345678_pred <- conv345678_pred
I1017 23:08:15.867811 5918 net.cpp:367] relu345678_pred -> conv345678_pred (in-place)
I1017 23:08:15.867830 5918 net.cpp:122] Setting up relu345678_pred
I1017 23:08:15.867861 5918 net.cpp:129] Top shape: 1 384 64 64 (1572864)
I1017 23:08:15.867895 5918 net.cpp:137] Memory required for data: 374341632
I1017 23:08:15.867928 5918 layer_factory.hpp:77] Creating layer pred_313
I1017 23:08:15.867964 5918 net.cpp:84] Creating Layer pred_313
I1017 23:08:15.867982 5918 net.cpp:406] pred_313 <- conv345678_pred
I1017 23:08:15.868000 5918 net.cpp:380] pred_313 -> pred_313
I1017 23:08:15.868234 5918 net.cpp:122] Setting up pred_313
I1017 23:08:15.868266 5918 net.cpp:129] Top shape: 1 313 64 64 (1282048)
I1017 23:08:15.868304 5918 net.cpp:137] Memory required for data: 379469824
I1017 23:08:15.868340 5918 layer_factory.hpp:77] Creating layer pred_313_us
I1017 23:08:15.868377 5918 net.cpp:84] Creating Layer pred_313_us
I1017 23:08:15.868409 5918 net.cpp:406] pred_313_us <- pred_313
I1017 23:08:15.868445 5918 net.cpp:380] pred_313_us -> pred_313_us
I1017 23:08:15.868505 5918 net.cpp:122] Setting up pred_313_us
I1017 23:08:15.868536 5918 net.cpp:129] Top shape: 1 313 128 128 (5128192)
I1017 23:08:15.868572 5918 net.cpp:137] Memory required for data: 399982592
I1017 23:08:15.868605 5918 layer_factory.hpp:77] Creating layer pred_313_rs
I1017 23:08:15.868641 5918 net.cpp:84] Creating Layer pred_313_rs
I1017 23:08:15.868672 5918 net.cpp:406] pred_313_rs <- pred_313_us
I1017 23:08:15.868708 5918 net.cpp:380] pred_313_rs -> pred_313_rs
I1017 23:08:15.868765 5918 net.cpp:122] Setting up pred_313_rs
I1017 23:08:15.868782 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.868816 5918 net.cpp:137] Memory required for data: 482033664
I1017 23:08:15.868849 5918 net.cpp:465] Sharing parameters 'kern_us' owned by layer 'pred_313_us', param index 0
I1017 23:08:15.868880 5918 layer_factory.hpp:77] Creating layer pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.868916 5918 net.cpp:84] Creating Layer pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.868947 5918 net.cpp:406] pred_313_rs_pred_313_rs_0_split <- pred_313_rs
I1017 23:08:15.868983 5918 net.cpp:380] pred_313_rs_pred_313_rs_0_split -> pred_313_rs_pred_313_rs_0_split_0
I1017 23:08:15.869022 5918 net.cpp:380] pred_313_rs_pred_313_rs_0_split -> pred_313_rs_pred_313_rs_0_split_1
I1017 23:08:15.869062 5918 net.cpp:122] Setting up pred_313_rs_pred_313_rs_0_split
I1017 23:08:15.869093 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869129 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869164 5918 net.cpp:137] Memory required for data: 646135808
I1017 23:08:15.869195 5918 layer_factory.hpp:77] Creating layer scale_S
I1017 23:08:15.869231 5918 net.cpp:84] Creating Layer scale_S
I1017 23:08:15.869263 5918 net.cpp:406] scale_S <- pred_313_rs_pred_313_rs_0_split_0
I1017 23:08:15.869299 5918 net.cpp:380] scale_S -> scale_S
I1017 23:08:15.869447 5918 net.cpp:122] Setting up scale_S
I1017 23:08:15.869480 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869516 5918 net.cpp:137] Memory required for data: 728186880
I1017 23:08:15.869550 5918 layer_factory.hpp:77] Creating layer dist_ab_S
I1017 23:08:15.869585 5918 net.cpp:84] Creating Layer dist_ab_S
I1017 23:08:15.869617 5918 net.cpp:406] dist_ab_S <- scale_S
I1017 23:08:15.869652 5918 net.cpp:380] dist_ab_S -> dist_ab_S
I1017 23:08:15.869696 5918 net.cpp:122] Setting up dist_ab_S
I1017 23:08:15.869729 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.869765 5918 net.cpp:137] Memory required for data: 810237952
I1017 23:08:15.869810 5918 layer_factory.hpp:77] Creating layer scale_T
I1017 23:08:15.869846 5918 net.cpp:84] Creating Layer scale_T
I1017 23:08:15.869879 5918 net.cpp:406] scale_T <- pred_313_rs_pred_313_rs_0_split_1
I1017 23:08:15.869915 5918 net.cpp:380] scale_T -> scale_T
I1017 23:08:15.870177 5918 net.cpp:122] Setting up scale_T
I1017 23:08:15.870208 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.870244 5918 net.cpp:137] Memory required for data: 892289024
I1017 23:08:15.870280 5918 layer_factory.hpp:77] Creating layer dist_ab
I1017 23:08:15.870314 5918 net.cpp:84] Creating Layer dist_ab
I1017 23:08:15.870345 5918 net.cpp:406] dist_ab <- scale_T
I1017 23:08:15.870380 5918 net.cpp:380] dist_ab -> dist_ab_T
I1017 23:08:15.870420 5918 net.cpp:122] Setting up dist_ab
I1017 23:08:15.870451 5918 net.cpp:129] Top shape: 1 313 256 256 (20512768)
I1017 23:08:15.870487 5918 net.cpp:137] Memory required for data: 974340096
I1017 23:08:15.870518 5918 layer_factory.hpp:77] Creating layer pred_ab
I1017 23:08:15.870553 5918 net.cpp:84] Creating Layer pred_ab
I1017 23:08:15.870585 5918 net.cpp:406] pred_ab <- dist_ab_T
I1017 23:08:15.870621 5918 net.cpp:380] pred_ab -> pred_ab
I1017 23:08:15.870883 5918 net.cpp:122] Setting up pred_ab
I1017 23:08:15.870914 5918 net.cpp:129] Top shape: 1 2 256 256 (131072)
I1017 23:08:15.870950 5918 net.cpp:137] Memory required for data: 974864384
I1017 23:08:15.870988 5918 net.cpp:200] pred_ab does not need backward computation.
I1017 23:08:15.871021 5918 net.cpp:200] dist_ab does not need backward computation.
I1017 23:08:15.871052 5918 net.cpp:200] scale_T does not need backward computation.
I1017 23:08:15.871084 5918 net.cpp:200] dist_ab_S does not need backward computation.
I1017 23:08:15.871116 5918 net.cpp:200] scale_S does not need backward computation.
I1017 23:08:15.871148 5918 net.cpp:200] pred_313_rs_pred_313_rs_0_split does not need backward computation.
I1017 23:08:15.871181 5918 net.cpp:200] pred_313_rs does not need backward computation.
I1017 23:08:15.871213 5918 net.cpp:200] pred_313_us does not need backward computation.
I1017 23:08:15.871245 5918 net.cpp:200] pred_313 does not need backward computation.
I1017 23:08:15.871278 5918 net.cpp:200] relu345678_pred does not need backward computation.
I1017 23:08:15.871309 5918 net.cpp:200] conv345678_pred does not need backward computation.
I1017 23:08:15.871345 5918 net.cpp:200] conv8_pred does not need backward computation.
I1017 23:08:15.871377 5918 net.cpp:200] conv7_pred does not need backward computation.
I1017 23:08:15.871409 5918 net.cpp:200] conv6_pred does not need backward computation.
I1017 23:08:15.871443 5918 net.cpp:200] conv5_pred does not need backward computation.
I1017 23:08:15.871475 5918 net.cpp:200] conv4_pred does not need backward computation.
I1017 23:08:15.871507 5918 net.cpp:200] conv3_pred does not need backward computation.
I1017 23:08:15.871541 5918 net.cpp:200] conv8_3norm does not need backward computation.
I1017 23:08:15.871573 5918 net.cpp:200] relu8_3 does not need backward computation.
I1017 23:08:15.871605 5918 net.cpp:200] conv8_3 does not need backward computation.
I1017 23:08:15.871637 5918 net.cpp:200] relu8_2 does not need backward computation.
I1017 23:08:15.871670 5918 net.cpp:200] conv8_2 does not need backward computation.
I1017 23:08:15.871702 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.871734 5918 net.cpp:200] conv8_1_comb does not need backward computation.
I1017 23:08:15.871767 5918 net.cpp:200] conv3_3_short does not need backward computation.
I1017 23:08:15.871800 5918 net.cpp:200] conv8_1 does not need backward computation.
I1017 23:08:15.872253 5918 net.cpp:200] conv7_3norm_conv7_3norm_0_split does not need backward computation.
I1017 23:08:15.872287 5918 net.cpp:200] conv7_3norm does not need backward computation.
I1017 23:08:15.872319 5918 net.cpp:200] relu7_3 does not need backward computation.
I1017 23:08:15.872351 5918 net.cpp:200] conv7_3 does not need backward computation.
I1017 23:08:15.872385 5918 net.cpp:200] relu7_2 does not need backward computation.
I1017 23:08:15.872416 5918 net.cpp:200] conv7_2 does not need backward computation.
I1017 23:08:15.872433 5918 net.cpp:200] relu7_1 does not need backward computation.
I1017 23:08:15.872447 5918 net.cpp:200] conv7_1 does not need backward computation.
I1017 23:08:15.872462 5918 net.cpp:200] conv6_3norm_conv6_3norm_0_split does not need backward computation.
I1017 23:08:15.872478 5918 net.cpp:200] conv6_3norm does not need backward computation.
I1017 23:08:15.872493 5918 net.cpp:200] relu6_3 does not need backward computation.
I1017 23:08:15.872506 5918 net.cpp:200] conv6_3 does not need backward computation.
I1017 23:08:15.872520 5918 net.cpp:200] relu6_2 does not need backward computation.
I1017 23:08:15.872534 5918 net.cpp:200] conv6_2 does not need backward computation.
I1017 23:08:15.872566 5918 net.cpp:200] relu6_1 does not need backward computation.
I1017 23:08:15.872599 5918 net.cpp:200] conv6_1 does not need backward computation.
I1017 23:08:15.872634 5918 net.cpp:200] conv5_3norm_conv5_3norm_0_split does not need backward computation.
I1017 23:08:15.872669 5918 net.cpp:200] conv5_3norm does not need backward computation.
I1017 23:08:15.872702 5918 net.cpp:200] relu5_3 does not need backward computation.
I1017 23:08:15.872735 5918 net.cpp:200] conv5_3 does not need backward computation.
I1017 23:08:15.872768 5918 net.cpp:200] relu5_2 does not need backward computation.
I1017 23:08:15.872802 5918 net.cpp:200] conv5_2 does not need backward computation.
I1017 23:08:15.872834 5918 net.cpp:200] relu5_1 does not need backward computation.
I1017 23:08:15.872864 5918 net.cpp:200] conv5_1 does not need backward computation.
I1017 23:08:15.872897 5918 net.cpp:200] conv4_3norm_conv4_3norm_0_split does not need backward computation.
I1017 23:08:15.872929 5918 net.cpp:200] conv4_3norm does not need backward computation.
I1017 23:08:15.872961 5918 net.cpp:200] relu4_3 does not need backward computation.
I1017 23:08:15.872993 5918 net.cpp:200] conv4_3 does not need backward computation.
I1017 23:08:15.873024 5918 net.cpp:200] relu4_2 does not need backward computation.
I1017 23:08:15.873056 5918 net.cpp:200] conv4_2 does not need backward computation.
I1017 23:08:15.873087 5918 net.cpp:200] relu4_1 does not need backward computation.
I1017 23:08:15.873119 5918 net.cpp:200] conv4_1 does not need backward computation.
I1017 23:08:15.873150 5918 net.cpp:200] conv3_3norm_ss does not need backward computation.
I1017 23:08:15.873184 5918 net.cpp:200] conv3_3norm_conv3_3norm_0_split does not need backward computation.
I1017 23:08:15.873216 5918 net.cpp:200] conv3_3norm does not need backward computation.
I1017 23:08:15.873347 5918 net.cpp:200] relu3_3 does not need backward computation.
I1017 23:08:15.873378 5918 net.cpp:200] conv3_3 does not need backward computation.
I1017 23:08:15.873410 5918 net.cpp:200] relu3_2 does not need backward computation.
I1017 23:08:15.873441 5918 net.cpp:200] conv3_2 does not need backward computation.
I1017 23:08:15.873473 5918 net.cpp:200] relu3_1 does not need backward computation.
I1017 23:08:15.873507 5918 net.cpp:200] conv3_1 does not need backward computation.
I1017 23:08:15.873539 5918 net.cpp:200] conv2_2norm_ss does not need backward computation.
I1017 23:08:15.873571 5918 net.cpp:200] conv2_2norm does not need backward computation.
I1017 23:08:15.873636 5918 net.cpp:200] relu2_2 does not need backward computation.
I1017 23:08:15.873667 5918 net.cpp:200] conv2_2 does not need backward computation.
I1017 23:08:15.873699 5918 net.cpp:200] relu2_1 does not need backward computation.
I1017 23:08:15.873730 5918 net.cpp:200] conv2_1 does not need backward computation.
I1017 23:08:15.873762 5918 net.cpp:200] conv1_2norm_ss does not need backward computation.
I1017 23:08:15.873811 5918 net.cpp:200] conv1_2norm does not need backward computation.
I1017 23:08:15.873843 5918 net.cpp:200] relu1_2 does not need backward computation.
I1017 23:08:15.873875 5918 net.cpp:200] conv1_2 does not need backward computation.
I1017 23:08:15.873942 5918 net.cpp:200] relu1_1 does not need backward computation.
I1017 23:08:15.873973 5918 net.cpp:200] conv1_1 does not need backward computation.
I1017 23:08:15.874007 5918 net.cpp:200] bw_conv1_1 does not need backward computation.
I1017 23:08:15.874040 5918 net.cpp:200] ab_conv1_1 does not need backward computation.
I1017 23:08:15.874073 5918 net.cpp:200] Slice does not need backward computation.
I1017 23:08:15.874105 5918 net.cpp:200] data_l_ab_mask does not need backward computation.
I1017 23:08:15.874135 5918 net.cpp:242] This network produces output dist_ab_S
I1017 23:08:15.874168 5918 net.cpp:242] This network produces output pred_ab
I1017 23:08:15.874316 5918 net.cpp:255] Network initialization done.
I1017 23:08:16.960096 5918 upgrade_proto.cpp:77] Attempting to upgrade batch norm layers using deprecated params: ./models/reference_model/model.caffemodel
I1017 23:08:16.960180 5918 upgrade_proto.cpp:80] Successfully upgraded batch norm layers using deprecated params.
I1017 23:08:16.960192 5918 net.cpp:744] Ignoring source layer img
I1017 23:08:16.960202 5918 net.cpp:744] Ignoring source layer img_lab
I1017 23:08:16.960211 5918 net.cpp:744] Ignoring source layer img_slice
I1017 23:08:16.960220 5918 net.cpp:744] Ignoring source layer data_ab_img_slice_1_split
I1017 23:08:16.960258 5918 net.cpp:744] Ignoring source layer data_l_meansub
I1017 23:08:16.960288 5918 net.cpp:744] Ignoring source layer data_ab_mask
I1017 23:08:16.960366 5918 net.cpp:744] Ignoring source layer conv1_2norm_conv1_2norm_0_split
I1017 23:08:16.960685 5918 net.cpp:744] Ignoring source layer conv2_2norm_conv2_2norm_0_split
I1017 23:08:16.996033 5918 net.cpp:744] Ignoring source layer conv8_3norm_conv8_3norm_0_split
I1017 23:08:16.996099 5918 net.cpp:744] Ignoring source layer conv9_1
I1017 23:08:16.996112 5918 net.cpp:744] Ignoring source layer conv2_2_short
I1017 23:08:16.996125 5918 net.cpp:744] Ignoring source layer conv9_1_comb
I1017 23:08:16.996139 5918 net.cpp:744] Ignoring source layer relu9_1_comb
I1017 23:08:16.996170 5918 net.cpp:744] Ignoring source layer conv9_2
I1017 23:08:16.996188 5918 net.cpp:744] Ignoring source layer relu9_2
I1017 23:08:16.996201 5918 net.cpp:744] Ignoring source layer conv9_2norm
I1017 23:08:16.996228 5918 net.cpp:744] Ignoring source layer conv10_1
I1017 23:08:16.996258 5918 net.cpp:744] Ignoring source layer conv1_2_short
I1017 23:08:16.996286 5918 net.cpp:744] Ignoring source layer conv10_1_comb
I1017 23:08:16.996315 5918 net.cpp:744] Ignoring source layer relu10_1_comb
I1017 23:08:16.996343 5918 net.cpp:744] Ignoring source layer conv10_2
I1017 23:08:16.996373 5918 net.cpp:744] Ignoring source layer relu10_2
I1017 23:08:16.996402 5918 net.cpp:744] Ignoring source layer conv10_ab
I1017 23:08:16.996429 5918 net.cpp:744] Ignoring source layer pred_ab_1
I1017 23:08:16.996457 5918 net.cpp:744] Ignoring source layer pred_ab_2
I1017 23:08:16.996489 5918 net.cpp:744] Ignoring source layer loss_ab
I1017 23:08:16.996516 5918 net.cpp:744] Ignoring source layer loss_ab_loss_ab_0_split
I1017 23:08:16.996546 5918 net.cpp:744] Ignoring source layer data_ab_rs
I1017 23:08:16.996573 5918 net.cpp:744] Ignoring source layer gt_ab_313
I1017 23:08:17.013119 5918 net.cpp:744] Ignoring source layer SoftmaxLossPred
I1017 23:08:17.013176 5918 net.cpp:744] Ignoring source layer loss_class_SoftmaxLossPred_0_split
I1017 23:08:17.013182 5918 net.cpp:744] Ignoring source layer loss_log
Setting ab cluster centers in layer: pred_ab
Setting upsampling layer kernel: pred_313_us
b'test_imgs/mortar_pestle.jpg'
Traceback (most recent call last):
File "ideepcolor.py", line 78, in
I did everything but get the following error Thanks...
Traceback (most recent call last): File "ideepcolor.py", line 78, in
img_file=args.image_file, load_size=args.load_size, win_size=args.win_size)
File "/home/fago/ideecolor/interactive-deep-colorization-master/ui/gui_design.py", line 112, in init
self.drawWidget.init_result(img_file)
File "/home/fago/ideecolor/interactive-deep-colorization-master/ui/gui_draw.py", line 48, in init_result
self.read_image(image_file.encode('utf-8')) # read an image
File "/home/fago/ideecolor/interactive-deep-colorization-master/ui/gui_draw.py", line 73, in read_image
im_bgr = cv2.imread(image_file)
TypeError: bad argument type for built-in operation