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output0050.log
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I0811 20:39:45.997757 2099430144 caffe.cpp:113] Use GPU with device ID 0
I0811 20:39:46.861117 2099430144 caffe.cpp:121] Starting Optimization
I0811 20:39:46.861150 2099430144 solver.cpp:32] Initializing solver from parameters:
test_iter: 100
test_interval: 500
base_lr: 0.0001
display: 100
max_iter: 20000
lr_policy: "inv"
gamma: 0.0001
power: 0.75
momentum: 0.9
weight_decay: 0
snapshot: 0
snapshot_prefix: "src/siamese_network_bw/model/snapshots/siamese"
solver_mode: GPU
net: "src/siamese_network_bw/model/siamese_train_validate.prototxt"
I0811 20:39:46.861265 2099430144 solver.cpp:70] Creating training net from net file: src/siamese_network_bw/model/siamese_train_validate.prototxt
I0811 20:39:46.861790 2099430144 net.cpp:287] The NetState phase (0) differed from the phase (1) specified by a rule in layer pair_data
I0811 20:39:46.861825 2099430144 net.cpp:42] Initializing net from parameters:
name: "siamese_train_validate"
state {
phase: TRAIN
}
layer {
name: "pair_data"
type: "Data"
top: "pair_data"
top: "sim"
include {
phase: TRAIN
}
transform_param {
scale: 0.00390625
}
data_param {
source: "src/siamese_network_bw/data/siamese_network_train_leveldb"
batch_size: 64
}
}
layer {
name: "slice_pair"
type: "Slice"
bottom: "pair_data"
top: "data"
top: "data_p"
slice_param {
slice_dim: 1
slice_point: 1
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
name: "conv1_w"
lr_mult: 1
}
param {
name: "conv1_b"
lr_mult: 2
}
convolution_param {
num_output: 32
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param {
name: "conv2_w"
lr_mult: 1
}
param {
name: "conv2_b"
lr_mult: 2
}
convolution_param {
num_output: 64
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
param {
name: "conv3_w"
lr_mult: 1
}
param {
name: "conv3_b"
lr_mult: 2
}
convolution_param {
num_output: 128
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3"
top: "pool3"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "ip1"
type: "InnerProduct"
bottom: "pool3"
top: "ip1"
param {
name: "ip1_w"
lr_mult: 1
}
param {
name: "ip1_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "ip1"
top: "ip1"
}
layer {
name: "ip2"
type: "InnerProduct"
bottom: "ip1"
top: "ip2"
param {
name: "ip2_w"
lr_mult: 1
}
param {
name: "ip2_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "ip2"
top: "ip2"
}
layer {
name: "feat"
type: "InnerProduct"
bottom: "ip2"
top: "feat"
param {
name: "feat_w"
lr_mult: 1
}
param {
name: "feat_b"
lr_mult: 2
}
inner_product_param {
num_output: 2
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "conv1_p"
type: "Convolution"
bottom: "data_p"
top: "conv1_p"
param {
name: "conv1_w"
lr_mult: 1
}
param {
name: "conv1_b"
lr_mult: 2
}
convolution_param {
num_output: 32
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool1_p"
type: "Pooling"
bottom: "conv1_p"
top: "pool1_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_p"
type: "Convolution"
bottom: "pool1_p"
top: "conv2_p"
param {
name: "conv2_w"
lr_mult: 1
}
param {
name: "conv2_b"
lr_mult: 2
}
convolution_param {
num_output: 64
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool2_p"
type: "Pooling"
bottom: "conv2_p"
top: "pool2_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_p"
type: "Convolution"
bottom: "pool2_p"
top: "conv3_p"
param {
name: "conv3_w"
lr_mult: 1
}
param {
name: "conv3_b"
lr_mult: 2
}
convolution_param {
num_output: 128
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool3_p"
type: "Pooling"
bottom: "conv3_p"
top: "pool3_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "ip1_p"
type: "InnerProduct"
bottom: "pool3_p"
top: "ip1_p"
param {
name: "ip1_w"
lr_mult: 1
}
param {
name: "ip1_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu1_p"
type: "ReLU"
bottom: "ip1_p"
top: "ip1_p"
}
layer {
name: "ip2_p"
type: "InnerProduct"
bottom: "ip1_p"
top: "ip2_p"
param {
name: "ip2_w"
lr_mult: 1
}
param {
name: "ip2_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu2_p"
type: "ReLU"
bottom: "ip2_p"
top: "ip2_p"
}
layer {
name: "feat_p"
type: "InnerProduct"
bottom: "ip2_p"
top: "feat_p"
param {
name: "feat_w"
lr_mult: 1
}
param {
name: "feat_b"
lr_mult: 2
}
inner_product_param {
num_output: 2
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "loss"
type: "ContrastiveLoss"
bottom: "feat"
bottom: "feat_p"
bottom: "sim"
top: "loss"
contrastive_loss_param {
margin: 1
}
}
I0811 20:39:46.862112 2099430144 layer_factory.hpp:74] Creating layer pair_data
I0811 20:39:46.862134 2099430144 net.cpp:90] Creating Layer pair_data
I0811 20:39:46.862143 2099430144 net.cpp:368] pair_data -> pair_data
I0811 20:39:46.862169 2099430144 net.cpp:368] pair_data -> sim
I0811 20:39:46.862184 2099430144 net.cpp:120] Setting up pair_data
I0811 20:39:52.332720 2099430144 db.cpp:20] Opened leveldb src/siamese_network_bw/data/siamese_network_train_leveldb
I0811 20:39:52.332794 2099430144 data_layer.cpp:52] output data size: 64,2,58,58
I0811 20:39:52.332936 2099430144 net.cpp:127] Top shape: 64 2 58 58 (430592)
I0811 20:39:52.332958 2099430144 net.cpp:127] Top shape: 64 (64)
I0811 20:39:52.332967 2099430144 layer_factory.hpp:74] Creating layer slice_pair
I0811 20:39:52.332985 2099430144 net.cpp:90] Creating Layer slice_pair
I0811 20:39:52.332993 2099430144 net.cpp:410] slice_pair <- pair_data
I0811 20:39:52.333003 2099430144 net.cpp:368] slice_pair -> data
I0811 20:39:52.333012 2099430144 net.cpp:368] slice_pair -> data_p
I0811 20:39:52.333019 2099430144 net.cpp:120] Setting up slice_pair
I0811 20:39:52.333026 2099430144 net.cpp:127] Top shape: 64 1 58 58 (215296)
I0811 20:39:52.333031 2099430144 net.cpp:127] Top shape: 64 1 58 58 (215296)
I0811 20:39:52.333035 2099430144 layer_factory.hpp:74] Creating layer conv1
I0811 20:39:52.333047 2099430144 net.cpp:90] Creating Layer conv1
I0811 20:39:52.333052 2099430144 net.cpp:410] conv1 <- data
I0811 20:39:52.333060 2099430144 net.cpp:368] conv1 -> conv1
I0811 20:39:52.333101 2099430144 net.cpp:120] Setting up conv1
I0811 20:39:52.401515 2099430144 net.cpp:127] Top shape: 64 32 56 56 (6422528)
I0811 20:39:52.401556 2099430144 layer_factory.hpp:74] Creating layer pool1
I0811 20:39:52.401567 2099430144 net.cpp:90] Creating Layer pool1
I0811 20:39:52.401571 2099430144 net.cpp:410] pool1 <- conv1
I0811 20:39:52.401578 2099430144 net.cpp:368] pool1 -> pool1
I0811 20:39:52.401587 2099430144 net.cpp:120] Setting up pool1
I0811 20:39:52.401731 2099430144 net.cpp:127] Top shape: 64 32 28 28 (1605632)
I0811 20:39:52.401741 2099430144 layer_factory.hpp:74] Creating layer conv2
I0811 20:39:52.401751 2099430144 net.cpp:90] Creating Layer conv2
I0811 20:39:52.401754 2099430144 net.cpp:410] conv2 <- pool1
I0811 20:39:52.401762 2099430144 net.cpp:368] conv2 -> conv2
I0811 20:39:52.401770 2099430144 net.cpp:120] Setting up conv2
I0811 20:39:52.402146 2099430144 net.cpp:127] Top shape: 64 64 27 27 (2985984)
I0811 20:39:52.402173 2099430144 layer_factory.hpp:74] Creating layer pool2
I0811 20:39:52.402179 2099430144 net.cpp:90] Creating Layer pool2
I0811 20:39:52.402184 2099430144 net.cpp:410] pool2 <- conv2
I0811 20:39:52.402191 2099430144 net.cpp:368] pool2 -> pool2
I0811 20:39:52.402205 2099430144 net.cpp:120] Setting up pool2
I0811 20:39:52.402263 2099430144 net.cpp:127] Top shape: 64 64 14 14 (802816)
I0811 20:39:52.402268 2099430144 layer_factory.hpp:74] Creating layer conv3
I0811 20:39:52.402276 2099430144 net.cpp:90] Creating Layer conv3
I0811 20:39:52.402281 2099430144 net.cpp:410] conv3 <- pool2
I0811 20:39:52.402287 2099430144 net.cpp:368] conv3 -> conv3
I0811 20:39:52.402300 2099430144 net.cpp:120] Setting up conv3
I0811 20:39:52.402772 2099430144 net.cpp:127] Top shape: 64 128 13 13 (1384448)
I0811 20:39:52.402794 2099430144 layer_factory.hpp:74] Creating layer pool3
I0811 20:39:52.402801 2099430144 net.cpp:90] Creating Layer pool3
I0811 20:39:52.402804 2099430144 net.cpp:410] pool3 <- conv3
I0811 20:39:52.402811 2099430144 net.cpp:368] pool3 -> pool3
I0811 20:39:52.402817 2099430144 net.cpp:120] Setting up pool3
I0811 20:39:52.402865 2099430144 net.cpp:127] Top shape: 64 128 7 7 (401408)
I0811 20:39:52.402875 2099430144 layer_factory.hpp:74] Creating layer ip1
I0811 20:39:52.402884 2099430144 net.cpp:90] Creating Layer ip1
I0811 20:39:52.402889 2099430144 net.cpp:410] ip1 <- pool3
I0811 20:39:52.402895 2099430144 net.cpp:368] ip1 -> ip1
I0811 20:39:52.402901 2099430144 net.cpp:120] Setting up ip1
I0811 20:39:52.425437 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.425468 2099430144 layer_factory.hpp:74] Creating layer relu1
I0811 20:39:52.425484 2099430144 net.cpp:90] Creating Layer relu1
I0811 20:39:52.425489 2099430144 net.cpp:410] relu1 <- ip1
I0811 20:39:52.425494 2099430144 net.cpp:357] relu1 -> ip1 (in-place)
I0811 20:39:52.425501 2099430144 net.cpp:120] Setting up relu1
I0811 20:39:52.425709 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.425732 2099430144 layer_factory.hpp:74] Creating layer ip2
I0811 20:39:52.425750 2099430144 net.cpp:90] Creating Layer ip2
I0811 20:39:52.425755 2099430144 net.cpp:410] ip2 <- ip1
I0811 20:39:52.425767 2099430144 net.cpp:368] ip2 -> ip2
I0811 20:39:52.425776 2099430144 net.cpp:120] Setting up ip2
I0811 20:39:52.427476 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.427492 2099430144 layer_factory.hpp:74] Creating layer relu2
I0811 20:39:52.427498 2099430144 net.cpp:90] Creating Layer relu2
I0811 20:39:52.427502 2099430144 net.cpp:410] relu2 <- ip2
I0811 20:39:52.427512 2099430144 net.cpp:357] relu2 -> ip2 (in-place)
I0811 20:39:52.427518 2099430144 net.cpp:120] Setting up relu2
I0811 20:39:52.427577 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.427583 2099430144 layer_factory.hpp:74] Creating layer feat
I0811 20:39:52.427590 2099430144 net.cpp:90] Creating Layer feat
I0811 20:39:52.427593 2099430144 net.cpp:410] feat <- ip2
I0811 20:39:52.427599 2099430144 net.cpp:368] feat -> feat
I0811 20:39:52.427605 2099430144 net.cpp:120] Setting up feat
I0811 20:39:52.427623 2099430144 net.cpp:127] Top shape: 64 2 (128)
I0811 20:39:52.427657 2099430144 layer_factory.hpp:74] Creating layer conv1_p
I0811 20:39:52.427669 2099430144 net.cpp:90] Creating Layer conv1_p
I0811 20:39:52.427672 2099430144 net.cpp:410] conv1_p <- data_p
I0811 20:39:52.427678 2099430144 net.cpp:368] conv1_p -> conv1_p
I0811 20:39:52.427685 2099430144 net.cpp:120] Setting up conv1_p
I0811 20:39:52.427940 2099430144 net.cpp:127] Top shape: 64 32 56 56 (6422528)
I0811 20:39:52.427950 2099430144 net.cpp:459] Sharing parameters 'conv1_w' owned by layer 'conv1', param index 0
I0811 20:39:52.427966 2099430144 net.cpp:459] Sharing parameters 'conv1_b' owned by layer 'conv1', param index 1
I0811 20:39:52.427970 2099430144 layer_factory.hpp:74] Creating layer pool1_p
I0811 20:39:52.427978 2099430144 net.cpp:90] Creating Layer pool1_p
I0811 20:39:52.427983 2099430144 net.cpp:410] pool1_p <- conv1_p
I0811 20:39:52.427989 2099430144 net.cpp:368] pool1_p -> pool1_p
I0811 20:39:52.427995 2099430144 net.cpp:120] Setting up pool1_p
I0811 20:39:52.428041 2099430144 net.cpp:127] Top shape: 64 32 28 28 (1605632)
I0811 20:39:52.428046 2099430144 layer_factory.hpp:74] Creating layer conv2_p
I0811 20:39:52.428053 2099430144 net.cpp:90] Creating Layer conv2_p
I0811 20:39:52.428057 2099430144 net.cpp:410] conv2_p <- pool1_p
I0811 20:39:52.428063 2099430144 net.cpp:368] conv2_p -> conv2_p
I0811 20:39:52.428069 2099430144 net.cpp:120] Setting up conv2_p
I0811 20:39:52.428339 2099430144 net.cpp:127] Top shape: 64 64 27 27 (2985984)
I0811 20:39:52.428347 2099430144 net.cpp:459] Sharing parameters 'conv2_w' owned by layer 'conv2', param index 0
I0811 20:39:52.428352 2099430144 net.cpp:459] Sharing parameters 'conv2_b' owned by layer 'conv2', param index 1
I0811 20:39:52.428357 2099430144 layer_factory.hpp:74] Creating layer pool2_p
I0811 20:39:52.428364 2099430144 net.cpp:90] Creating Layer pool2_p
I0811 20:39:52.428369 2099430144 net.cpp:410] pool2_p <- conv2_p
I0811 20:39:52.428374 2099430144 net.cpp:368] pool2_p -> pool2_p
I0811 20:39:52.428382 2099430144 net.cpp:120] Setting up pool2_p
I0811 20:39:52.428422 2099430144 net.cpp:127] Top shape: 64 64 14 14 (802816)
I0811 20:39:52.428428 2099430144 layer_factory.hpp:74] Creating layer conv3_p
I0811 20:39:52.428434 2099430144 net.cpp:90] Creating Layer conv3_p
I0811 20:39:52.428444 2099430144 net.cpp:410] conv3_p <- pool2_p
I0811 20:39:52.428452 2099430144 net.cpp:368] conv3_p -> conv3_p
I0811 20:39:52.428459 2099430144 net.cpp:120] Setting up conv3_p
I0811 20:39:52.429039 2099430144 net.cpp:127] Top shape: 64 128 13 13 (1384448)
I0811 20:39:52.429054 2099430144 net.cpp:459] Sharing parameters 'conv3_w' owned by layer 'conv3', param index 0
I0811 20:39:52.429061 2099430144 net.cpp:459] Sharing parameters 'conv3_b' owned by layer 'conv3', param index 1
I0811 20:39:52.429077 2099430144 layer_factory.hpp:74] Creating layer pool3_p
I0811 20:39:52.429095 2099430144 net.cpp:90] Creating Layer pool3_p
I0811 20:39:52.429108 2099430144 net.cpp:410] pool3_p <- conv3_p
I0811 20:39:52.429121 2099430144 net.cpp:368] pool3_p -> pool3_p
I0811 20:39:52.429128 2099430144 net.cpp:120] Setting up pool3_p
I0811 20:39:52.429291 2099430144 net.cpp:127] Top shape: 64 128 7 7 (401408)
I0811 20:39:52.429306 2099430144 layer_factory.hpp:74] Creating layer ip1_p
I0811 20:39:52.429314 2099430144 net.cpp:90] Creating Layer ip1_p
I0811 20:39:52.429318 2099430144 net.cpp:410] ip1_p <- pool3_p
I0811 20:39:52.429327 2099430144 net.cpp:368] ip1_p -> ip1_p
I0811 20:39:52.429334 2099430144 net.cpp:120] Setting up ip1_p
I0811 20:39:52.453850 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.453896 2099430144 net.cpp:459] Sharing parameters 'ip1_w' owned by layer 'ip1', param index 0
I0811 20:39:52.454972 2099430144 net.cpp:459] Sharing parameters 'ip1_b' owned by layer 'ip1', param index 1
I0811 20:39:52.454979 2099430144 layer_factory.hpp:74] Creating layer relu1_p
I0811 20:39:52.454989 2099430144 net.cpp:90] Creating Layer relu1_p
I0811 20:39:52.454993 2099430144 net.cpp:410] relu1_p <- ip1_p
I0811 20:39:52.454998 2099430144 net.cpp:357] relu1_p -> ip1_p (in-place)
I0811 20:39:52.455036 2099430144 net.cpp:120] Setting up relu1_p
I0811 20:39:52.455121 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.455128 2099430144 layer_factory.hpp:74] Creating layer ip2_p
I0811 20:39:52.455135 2099430144 net.cpp:90] Creating Layer ip2_p
I0811 20:39:52.455139 2099430144 net.cpp:410] ip2_p <- ip1_p
I0811 20:39:52.455145 2099430144 net.cpp:368] ip2_p -> ip2_p
I0811 20:39:52.455154 2099430144 net.cpp:120] Setting up ip2_p
I0811 20:39:52.456825 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.456832 2099430144 net.cpp:459] Sharing parameters 'ip2_w' owned by layer 'ip2', param index 0
I0811 20:39:52.456850 2099430144 net.cpp:459] Sharing parameters 'ip2_b' owned by layer 'ip2', param index 1
I0811 20:39:52.456854 2099430144 layer_factory.hpp:74] Creating layer relu2_p
I0811 20:39:52.456949 2099430144 net.cpp:90] Creating Layer relu2_p
I0811 20:39:52.456960 2099430144 net.cpp:410] relu2_p <- ip2_p
I0811 20:39:52.456969 2099430144 net.cpp:357] relu2_p -> ip2_p (in-place)
I0811 20:39:52.456977 2099430144 net.cpp:120] Setting up relu2_p
I0811 20:39:52.457036 2099430144 net.cpp:127] Top shape: 64 500 (32000)
I0811 20:39:52.457062 2099430144 layer_factory.hpp:74] Creating layer feat_p
I0811 20:39:52.457077 2099430144 net.cpp:90] Creating Layer feat_p
I0811 20:39:52.457082 2099430144 net.cpp:410] feat_p <- ip2_p
I0811 20:39:52.457089 2099430144 net.cpp:368] feat_p -> feat_p
I0811 20:39:52.457098 2099430144 net.cpp:120] Setting up feat_p
I0811 20:39:52.457115 2099430144 net.cpp:127] Top shape: 64 2 (128)
I0811 20:39:52.457121 2099430144 net.cpp:459] Sharing parameters 'feat_w' owned by layer 'feat', param index 0
I0811 20:39:52.457130 2099430144 net.cpp:459] Sharing parameters 'feat_b' owned by layer 'feat', param index 1
I0811 20:39:52.457135 2099430144 layer_factory.hpp:74] Creating layer loss
I0811 20:39:52.457147 2099430144 net.cpp:90] Creating Layer loss
I0811 20:39:52.457154 2099430144 net.cpp:410] loss <- feat
I0811 20:39:52.457159 2099430144 net.cpp:410] loss <- feat_p
I0811 20:39:52.457165 2099430144 net.cpp:410] loss <- sim
I0811 20:39:52.457173 2099430144 net.cpp:368] loss -> loss
I0811 20:39:52.457180 2099430144 net.cpp:120] Setting up loss
I0811 20:39:52.457190 2099430144 net.cpp:127] Top shape: (1)
I0811 20:39:52.457193 2099430144 net.cpp:129] with loss weight 1
I0811 20:39:52.457206 2099430144 net.cpp:192] loss needs backward computation.
I0811 20:39:52.457211 2099430144 net.cpp:192] feat_p needs backward computation.
I0811 20:39:52.457213 2099430144 net.cpp:192] relu2_p needs backward computation.
I0811 20:39:52.457218 2099430144 net.cpp:192] ip2_p needs backward computation.
I0811 20:39:52.457221 2099430144 net.cpp:192] relu1_p needs backward computation.
I0811 20:39:52.457226 2099430144 net.cpp:192] ip1_p needs backward computation.
I0811 20:39:52.457229 2099430144 net.cpp:192] pool3_p needs backward computation.
I0811 20:39:52.457233 2099430144 net.cpp:192] conv3_p needs backward computation.
I0811 20:39:52.457237 2099430144 net.cpp:192] pool2_p needs backward computation.
I0811 20:39:52.457242 2099430144 net.cpp:192] conv2_p needs backward computation.
I0811 20:39:52.457245 2099430144 net.cpp:192] pool1_p needs backward computation.
I0811 20:39:52.457249 2099430144 net.cpp:192] conv1_p needs backward computation.
I0811 20:39:52.457253 2099430144 net.cpp:192] feat needs backward computation.
I0811 20:39:52.457257 2099430144 net.cpp:192] relu2 needs backward computation.
I0811 20:39:52.457262 2099430144 net.cpp:192] ip2 needs backward computation.
I0811 20:39:52.457264 2099430144 net.cpp:192] relu1 needs backward computation.
I0811 20:39:52.457269 2099430144 net.cpp:192] ip1 needs backward computation.
I0811 20:39:52.457278 2099430144 net.cpp:192] pool3 needs backward computation.
I0811 20:39:52.457283 2099430144 net.cpp:192] conv3 needs backward computation.
I0811 20:39:52.457286 2099430144 net.cpp:192] pool2 needs backward computation.
I0811 20:39:52.457291 2099430144 net.cpp:192] conv2 needs backward computation.
I0811 20:39:52.457314 2099430144 net.cpp:192] pool1 needs backward computation.
I0811 20:39:52.457319 2099430144 net.cpp:192] conv1 needs backward computation.
I0811 20:39:52.457324 2099430144 net.cpp:194] slice_pair does not need backward computation.
I0811 20:39:52.457348 2099430144 net.cpp:194] pair_data does not need backward computation.
I0811 20:39:52.457360 2099430144 net.cpp:235] This network produces output loss
I0811 20:39:52.457375 2099430144 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0811 20:39:52.457384 2099430144 net.cpp:247] Network initialization done.
I0811 20:39:52.457391 2099430144 net.cpp:248] Memory required for data: 113292548
I0811 20:39:52.457767 2099430144 solver.cpp:154] Creating test net (#0) specified by net file: src/siamese_network_bw/model/siamese_train_validate.prototxt
I0811 20:39:52.457811 2099430144 net.cpp:287] The NetState phase (1) differed from the phase (0) specified by a rule in layer pair_data
I0811 20:39:52.457833 2099430144 net.cpp:42] Initializing net from parameters:
name: "siamese_train_validate"
state {
phase: TEST
}
layer {
name: "pair_data"
type: "Data"
top: "pair_data"
top: "sim"
include {
phase: TEST
}
transform_param {
scale: 0.00390625
}
data_param {
source: "src/siamese_network_bw/data/siamese_network_validation_leveldb"
batch_size: 64
}
}
layer {
name: "slice_pair"
type: "Slice"
bottom: "pair_data"
top: "data"
top: "data_p"
slice_param {
slice_dim: 1
slice_point: 1
}
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
name: "conv1_w"
lr_mult: 1
}
param {
name: "conv1_b"
lr_mult: 2
}
convolution_param {
num_output: 32
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param {
name: "conv2_w"
lr_mult: 1
}
param {
name: "conv2_b"
lr_mult: 2
}
convolution_param {
num_output: 64
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
param {
name: "conv3_w"
lr_mult: 1
}
param {
name: "conv3_b"
lr_mult: 2
}
convolution_param {
num_output: 128
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3"
top: "pool3"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "ip1"
type: "InnerProduct"
bottom: "pool3"
top: "ip1"
param {
name: "ip1_w"
lr_mult: 1
}
param {
name: "ip1_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "ip1"
top: "ip1"
}
layer {
name: "ip2"
type: "InnerProduct"
bottom: "ip1"
top: "ip2"
param {
name: "ip2_w"
lr_mult: 1
}
param {
name: "ip2_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "ip2"
top: "ip2"
}
layer {
name: "feat"
type: "InnerProduct"
bottom: "ip2"
top: "feat"
param {
name: "feat_w"
lr_mult: 1
}
param {
name: "feat_b"
lr_mult: 2
}
inner_product_param {
num_output: 2
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "conv1_p"
type: "Convolution"
bottom: "data_p"
top: "conv1_p"
param {
name: "conv1_w"
lr_mult: 1
}
param {
name: "conv1_b"
lr_mult: 2
}
convolution_param {
num_output: 32
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool1_p"
type: "Pooling"
bottom: "conv1_p"
top: "pool1_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv2_p"
type: "Convolution"
bottom: "pool1_p"
top: "conv2_p"
param {
name: "conv2_w"
lr_mult: 1
}
param {
name: "conv2_b"
lr_mult: 2
}
convolution_param {
num_output: 64
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool2_p"
type: "Pooling"
bottom: "conv2_p"
top: "pool2_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "conv3_p"
type: "Convolution"
bottom: "pool2_p"
top: "conv3_p"
param {
name: "conv3_w"
lr_mult: 1
}
param {
name: "conv3_b"
lr_mult: 2
}
convolution_param {
num_output: 128
kernel_size: 2
stride: 1
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "pool3_p"
type: "Pooling"
bottom: "conv3_p"
top: "pool3_p"
pooling_param {
pool: MAX
kernel_size: 2
stride: 2
}
}
layer {
name: "ip1_p"
type: "InnerProduct"
bottom: "pool3_p"
top: "ip1_p"
param {
name: "ip1_w"
lr_mult: 1
}
param {
name: "ip1_b"
lr_mult: 2
}
inner_product_param {
num_output: 500
weight_filler {
type: "xavier"
}
bias_filler {
type: "constant"
}
}
}
layer {
name: "relu1_p"
type: "ReLU"
bottom: "ip1_p"
top: "ip1_p"
}
layer {