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October 21, 2015 18:37
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cifar10_2K_not-in-place
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| I1021 21:39:31.658416 3427 caffe.cpp:184] Using GPUs 0 | |
| I1021 21:39:31.932163 3427 solver.cpp:47] Initializing solver from parameters: | |
| test_iter: 10 | |
| test_interval: 1000 | |
| base_lr: 0.001 | |
| display: 100 | |
| max_iter: 5000 | |
| lr_policy: "poly" | |
| power: 0.5 | |
| momentum: 0.9 | |
| snapshot_prefix: "examples/cifar10_full_sigmoid_bn" | |
| solver_mode: GPU | |
| device_id: 0 | |
| net: "examples/cifar10/cifar10_full_sigmoid_train_test_bn.prototxt" | |
| I1021 21:39:31.932204 3427 solver.cpp:90] Creating training net from net file: examples/cifar10/cifar10_full_sigmoid_train_test_bn.prototxt | |
| I1021 21:39:31.932634 3427 net.cpp:322] The NetState phase (0) differed from the phase (1) specified by a rule in layer cifar | |
| I1021 21:39:31.932646 3427 net.cpp:322] The NetState phase (0) differed from the phase (1) specified by a rule in layer bn1 | |
| I1021 21:39:31.932658 3427 net.cpp:322] The NetState phase (0) differed from the phase (1) specified by a rule in layer bn2 | |
| I1021 21:39:31.932663 3427 net.cpp:322] The NetState phase (0) differed from the phase (1) specified by a rule in layer bn3 | |
| I1021 21:39:31.932667 3427 net.cpp:322] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy | |
| I1021 21:39:31.932780 3427 net.cpp:49] Initializing net from parameters: | |
| name: "CIFAR10_full" | |
| state { | |
| phase: TRAIN | |
| } | |
| layer { | |
| name: "cifar" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mean_file: "examples/cifar10/mean.binaryproto" | |
| } | |
| data_param { | |
| source: "examples/cifar10/cifar10_train_lmdb" | |
| batch_size: 111 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.0001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn1" | |
| type: "BatchNorm" | |
| bottom: "pool1" | |
| top: "bn1" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TRAIN | |
| } | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid1" | |
| type: "Sigmoid" | |
| bottom: "bn1" | |
| top: "Sigmoid1" | |
| } | |
| layer { | |
| name: "conv2" | |
| type: "Convolution" | |
| bottom: "Sigmoid1" | |
| top: "conv2" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2" | |
| type: "BatchNorm" | |
| bottom: "conv2" | |
| top: "bn2" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TRAIN | |
| } | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid2" | |
| type: "Sigmoid" | |
| bottom: "bn2" | |
| top: "Sigmoid2" | |
| } | |
| layer { | |
| name: "pool2" | |
| type: "Pooling" | |
| bottom: "Sigmoid2" | |
| top: "pool2" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3" | |
| type: "Convolution" | |
| bottom: "pool2" | |
| top: "conv3" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3" | |
| type: "BatchNorm" | |
| bottom: "conv3" | |
| top: "bn3" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TRAIN | |
| } | |
| batch_norm_param { | |
| use_global_stats: false | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid3" | |
| type: "Sigmoid" | |
| bottom: "bn3" | |
| top: "Sigmoid3" | |
| } | |
| layer { | |
| name: "pool3" | |
| type: "Pooling" | |
| bottom: "Sigmoid3" | |
| top: "pool3" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "ip1" | |
| type: "InnerProduct" | |
| bottom: "pool3" | |
| top: "ip1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 250 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 10 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "ip1" | |
| bottom: "label" | |
| top: "loss" | |
| } | |
| I1021 21:39:31.932869 3427 layer_factory.hpp:76] Creating layer cifar | |
| I1021 21:39:31.933334 3427 net.cpp:106] Creating Layer cifar | |
| I1021 21:39:31.933457 3427 net.cpp:411] cifar -> data | |
| I1021 21:39:31.933539 3427 net.cpp:411] cifar -> label | |
| I1021 21:39:31.933552 3427 data_transformer.cpp:25] Loading mean file from: examples/cifar10/mean.binaryproto | |
| I1021 21:39:31.934157 3429 db_lmdb.cpp:38] Opened lmdb examples/cifar10/cifar10_train_lmdb | |
| I1021 21:39:31.972024 3427 data_layer.cpp:45] output data size: 111,3,32,32 | |
| I1021 21:39:31.979584 3427 net.cpp:150] Setting up cifar | |
| I1021 21:39:31.979622 3427 net.cpp:157] Top shape: 111 3 32 32 (340992) | |
| I1021 21:39:31.979626 3427 net.cpp:157] Top shape: 111 (111) | |
| I1021 21:39:31.979629 3427 net.cpp:165] Memory required for data: 1364412 | |
| I1021 21:39:31.979639 3427 layer_factory.hpp:76] Creating layer conv1 | |
| I1021 21:39:31.979651 3427 net.cpp:106] Creating Layer conv1 | |
| I1021 21:39:31.979655 3427 net.cpp:454] conv1 <- data | |
| I1021 21:39:31.979665 3427 net.cpp:411] conv1 -> conv1 | |
| I1021 21:39:31.980183 3427 net.cpp:150] Setting up conv1 | |
| I1021 21:39:31.980191 3427 net.cpp:157] Top shape: 111 32 32 32 (3637248) | |
| I1021 21:39:31.980203 3427 net.cpp:165] Memory required for data: 15913404 | |
| I1021 21:39:31.980216 3427 layer_factory.hpp:76] Creating layer pool1 | |
| I1021 21:39:31.980227 3427 net.cpp:106] Creating Layer pool1 | |
| I1021 21:39:31.980231 3427 net.cpp:454] pool1 <- conv1 | |
| I1021 21:39:31.980236 3427 net.cpp:411] pool1 -> pool1 | |
| I1021 21:39:31.980332 3427 net.cpp:150] Setting up pool1 | |
| I1021 21:39:31.980348 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.980350 3427 net.cpp:165] Memory required for data: 19550652 | |
| I1021 21:39:31.980352 3427 layer_factory.hpp:76] Creating layer bn1 | |
| I1021 21:39:31.980370 3427 net.cpp:106] Creating Layer bn1 | |
| I1021 21:39:31.980371 3427 net.cpp:454] bn1 <- pool1 | |
| I1021 21:39:31.980376 3427 net.cpp:411] bn1 -> bn1 | |
| I1021 21:39:31.981046 3427 net.cpp:150] Setting up bn1 | |
| I1021 21:39:31.981053 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.981055 3427 net.cpp:165] Memory required for data: 23187900 | |
| I1021 21:39:31.981063 3427 layer_factory.hpp:76] Creating layer Sigmoid1 | |
| I1021 21:39:31.981068 3427 net.cpp:106] Creating Layer Sigmoid1 | |
| I1021 21:39:31.981072 3427 net.cpp:454] Sigmoid1 <- bn1 | |
| I1021 21:39:31.981076 3427 net.cpp:411] Sigmoid1 -> Sigmoid1 | |
| I1021 21:39:31.981091 3427 net.cpp:150] Setting up Sigmoid1 | |
| I1021 21:39:31.981096 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.981097 3427 net.cpp:165] Memory required for data: 26825148 | |
| I1021 21:39:31.981098 3427 layer_factory.hpp:76] Creating layer conv2 | |
| I1021 21:39:31.981104 3427 net.cpp:106] Creating Layer conv2 | |
| I1021 21:39:31.981106 3427 net.cpp:454] conv2 <- Sigmoid1 | |
| I1021 21:39:31.981109 3427 net.cpp:411] conv2 -> conv2 | |
| I1021 21:39:31.982153 3427 net.cpp:150] Setting up conv2 | |
| I1021 21:39:31.982162 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.982164 3427 net.cpp:165] Memory required for data: 30462396 | |
| I1021 21:39:31.982168 3427 layer_factory.hpp:76] Creating layer bn2 | |
| I1021 21:39:31.982177 3427 net.cpp:106] Creating Layer bn2 | |
| I1021 21:39:31.982178 3427 net.cpp:454] bn2 <- conv2 | |
| I1021 21:39:31.982184 3427 net.cpp:411] bn2 -> bn2 | |
| I1021 21:39:31.982332 3427 net.cpp:150] Setting up bn2 | |
| I1021 21:39:31.982338 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.982341 3427 net.cpp:165] Memory required for data: 34099644 | |
| I1021 21:39:31.982347 3427 layer_factory.hpp:76] Creating layer Sigmoid2 | |
| I1021 21:39:31.982352 3427 net.cpp:106] Creating Layer Sigmoid2 | |
| I1021 21:39:31.982353 3427 net.cpp:454] Sigmoid2 <- bn2 | |
| I1021 21:39:31.982357 3427 net.cpp:411] Sigmoid2 -> Sigmoid2 | |
| I1021 21:39:31.982389 3427 net.cpp:150] Setting up Sigmoid2 | |
| I1021 21:39:31.982422 3427 net.cpp:157] Top shape: 111 32 16 16 (909312) | |
| I1021 21:39:31.982425 3427 net.cpp:165] Memory required for data: 37736892 | |
| I1021 21:39:31.982427 3427 layer_factory.hpp:76] Creating layer pool2 | |
| I1021 21:39:31.982432 3427 net.cpp:106] Creating Layer pool2 | |
| I1021 21:39:31.982434 3427 net.cpp:454] pool2 <- Sigmoid2 | |
| I1021 21:39:31.982439 3427 net.cpp:411] pool2 -> pool2 | |
| I1021 21:39:31.982622 3427 net.cpp:150] Setting up pool2 | |
| I1021 21:39:31.982636 3427 net.cpp:157] Top shape: 111 32 8 8 (227328) | |
| I1021 21:39:31.982638 3427 net.cpp:165] Memory required for data: 38646204 | |
| I1021 21:39:31.982640 3427 layer_factory.hpp:76] Creating layer conv3 | |
| I1021 21:39:31.982658 3427 net.cpp:106] Creating Layer conv3 | |
| I1021 21:39:31.982661 3427 net.cpp:454] conv3 <- pool2 | |
| I1021 21:39:31.982663 3427 net.cpp:411] conv3 -> conv3 | |
| I1021 21:39:31.983965 3427 net.cpp:150] Setting up conv3 | |
| I1021 21:39:31.983971 3427 net.cpp:157] Top shape: 111 64 8 8 (454656) | |
| I1021 21:39:31.983973 3427 net.cpp:165] Memory required for data: 40464828 | |
| I1021 21:39:31.983976 3427 layer_factory.hpp:76] Creating layer bn3 | |
| I1021 21:39:31.983981 3427 net.cpp:106] Creating Layer bn3 | |
| I1021 21:39:31.983983 3427 net.cpp:454] bn3 <- conv3 | |
| I1021 21:39:31.983988 3427 net.cpp:411] bn3 -> bn3 | |
| I1021 21:39:31.984104 3427 net.cpp:150] Setting up bn3 | |
| I1021 21:39:31.984107 3427 net.cpp:157] Top shape: 111 64 8 8 (454656) | |
| I1021 21:39:31.984109 3427 net.cpp:165] Memory required for data: 42283452 | |
| I1021 21:39:31.984113 3427 layer_factory.hpp:76] Creating layer Sigmoid3 | |
| I1021 21:39:31.984118 3427 net.cpp:106] Creating Layer Sigmoid3 | |
| I1021 21:39:31.984120 3427 net.cpp:454] Sigmoid3 <- bn3 | |
| I1021 21:39:31.984122 3427 net.cpp:411] Sigmoid3 -> Sigmoid3 | |
| I1021 21:39:31.984338 3427 net.cpp:150] Setting up Sigmoid3 | |
| I1021 21:39:31.984352 3427 net.cpp:157] Top shape: 111 64 8 8 (454656) | |
| I1021 21:39:31.984400 3427 net.cpp:165] Memory required for data: 44102076 | |
| I1021 21:39:31.984405 3427 layer_factory.hpp:76] Creating layer pool3 | |
| I1021 21:39:31.984411 3427 net.cpp:106] Creating Layer pool3 | |
| I1021 21:39:31.984412 3427 net.cpp:454] pool3 <- Sigmoid3 | |
| I1021 21:39:31.984416 3427 net.cpp:411] pool3 -> pool3 | |
| I1021 21:39:31.984434 3427 net.cpp:150] Setting up pool3 | |
| I1021 21:39:31.984437 3427 net.cpp:157] Top shape: 111 64 4 4 (113664) | |
| I1021 21:39:31.984482 3427 net.cpp:165] Memory required for data: 44556732 | |
| I1021 21:39:31.984484 3427 layer_factory.hpp:76] Creating layer ip1 | |
| I1021 21:39:31.984532 3427 net.cpp:106] Creating Layer ip1 | |
| I1021 21:39:31.984536 3427 net.cpp:454] ip1 <- pool3 | |
| I1021 21:39:31.984558 3427 net.cpp:411] ip1 -> ip1 | |
| I1021 21:39:31.985220 3427 net.cpp:150] Setting up ip1 | |
| I1021 21:39:31.985231 3427 net.cpp:157] Top shape: 111 10 (1110) | |
| I1021 21:39:31.985251 3427 net.cpp:165] Memory required for data: 44561172 | |
| I1021 21:39:31.985278 3427 layer_factory.hpp:76] Creating layer loss | |
| I1021 21:39:31.985298 3427 net.cpp:106] Creating Layer loss | |
| I1021 21:39:31.985301 3427 net.cpp:454] loss <- ip1 | |
| I1021 21:39:31.985324 3427 net.cpp:454] loss <- label | |
| I1021 21:39:31.985342 3427 net.cpp:411] loss -> loss | |
| I1021 21:39:31.985362 3427 layer_factory.hpp:76] Creating layer loss | |
| I1021 21:39:31.985440 3427 net.cpp:150] Setting up loss | |
| I1021 21:39:31.985445 3427 net.cpp:157] Top shape: (1) | |
| I1021 21:39:31.985462 3427 net.cpp:160] with loss weight 1 | |
| I1021 21:39:31.985491 3427 net.cpp:165] Memory required for data: 44561176 | |
| I1021 21:39:31.985515 3427 net.cpp:226] loss needs backward computation. | |
| I1021 21:39:31.985518 3427 net.cpp:226] ip1 needs backward computation. | |
| I1021 21:39:31.985543 3427 net.cpp:226] pool3 needs backward computation. | |
| I1021 21:39:31.985545 3427 net.cpp:226] Sigmoid3 needs backward computation. | |
| I1021 21:39:31.985548 3427 net.cpp:226] bn3 needs backward computation. | |
| I1021 21:39:31.985569 3427 net.cpp:226] conv3 needs backward computation. | |
| I1021 21:39:31.985586 3427 net.cpp:226] pool2 needs backward computation. | |
| I1021 21:39:31.985589 3427 net.cpp:226] Sigmoid2 needs backward computation. | |
| I1021 21:39:31.985628 3427 net.cpp:226] bn2 needs backward computation. | |
| I1021 21:39:31.985632 3427 net.cpp:226] conv2 needs backward computation. | |
| I1021 21:39:31.985654 3427 net.cpp:226] Sigmoid1 needs backward computation. | |
| I1021 21:39:31.985674 3427 net.cpp:226] bn1 needs backward computation. | |
| I1021 21:39:31.985677 3427 net.cpp:226] pool1 needs backward computation. | |
| I1021 21:39:31.985697 3427 net.cpp:226] conv1 needs backward computation. | |
| I1021 21:39:31.985700 3427 net.cpp:228] cifar does not need backward computation. | |
| I1021 21:39:31.985723 3427 net.cpp:270] This network produces output loss | |
| I1021 21:39:31.985749 3427 net.cpp:283] Network initialization done. | |
| I1021 21:39:31.986170 3427 solver.cpp:180] Creating test net (#0) specified by net file: examples/cifar10/cifar10_full_sigmoid_train_test_bn.prototxt | |
| I1021 21:39:31.986217 3427 net.cpp:322] The NetState phase (1) differed from the phase (0) specified by a rule in layer cifar | |
| I1021 21:39:31.986240 3427 net.cpp:322] The NetState phase (1) differed from the phase (0) specified by a rule in layer bn1 | |
| I1021 21:39:31.986259 3427 net.cpp:322] The NetState phase (1) differed from the phase (0) specified by a rule in layer bn2 | |
| I1021 21:39:31.986265 3427 net.cpp:322] The NetState phase (1) differed from the phase (0) specified by a rule in layer bn3 | |
| I1021 21:39:31.986382 3427 net.cpp:49] Initializing net from parameters: | |
| name: "CIFAR10_full" | |
| state { | |
| phase: TEST | |
| } | |
| layer { | |
| name: "cifar" | |
| type: "Data" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mean_file: "examples/cifar10/mean.binaryproto" | |
| } | |
| data_param { | |
| source: "examples/cifar10/cifar10_test_lmdb" | |
| batch_size: 1000 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.0001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn1" | |
| type: "BatchNorm" | |
| bottom: "pool1" | |
| top: "bn1" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TEST | |
| } | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid1" | |
| type: "Sigmoid" | |
| bottom: "bn1" | |
| top: "Sigmoid1" | |
| } | |
| layer { | |
| name: "conv2" | |
| type: "Convolution" | |
| bottom: "Sigmoid1" | |
| top: "conv2" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2" | |
| type: "BatchNorm" | |
| bottom: "conv2" | |
| top: "bn2" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TEST | |
| } | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid2" | |
| type: "Sigmoid" | |
| bottom: "bn2" | |
| top: "Sigmoid2" | |
| } | |
| layer { | |
| name: "pool2" | |
| type: "Pooling" | |
| bottom: "Sigmoid2" | |
| top: "pool2" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3" | |
| type: "Convolution" | |
| bottom: "pool2" | |
| top: "conv3" | |
| param { | |
| lr_mult: 1 | |
| } | |
| param { | |
| lr_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3" | |
| type: "BatchNorm" | |
| bottom: "conv3" | |
| top: "bn3" | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| } | |
| include { | |
| phase: TEST | |
| } | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| name: "Sigmoid3" | |
| type: "Sigmoid" | |
| bottom: "bn3" | |
| top: "Sigmoid3" | |
| } | |
| layer { | |
| name: "pool3" | |
| type: "Pooling" | |
| bottom: "Sigmoid3" | |
| top: "pool3" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "ip1" | |
| type: "InnerProduct" | |
| bottom: "pool3" | |
| top: "ip1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 250 | |
| } | |
| param { | |
| lr_mult: 0.2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 10 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "accuracy" | |
| type: "Accuracy" | |
| bottom: "ip1" | |
| bottom: "label" | |
| top: "accuracy" | |
| include { | |
| phase: TEST | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "ip1" | |
| bottom: "label" | |
| top: "loss" | |
| } | |
| I1021 21:39:31.986920 3427 layer_factory.hpp:76] Creating layer cifar | |
| I1021 21:39:31.987375 3427 net.cpp:106] Creating Layer cifar | |
| I1021 21:39:31.987381 3427 net.cpp:411] cifar -> data | |
| I1021 21:39:31.987409 3427 net.cpp:411] cifar -> label | |
| I1021 21:39:31.987428 3427 data_transformer.cpp:25] Loading mean file from: examples/cifar10/mean.binaryproto | |
| I1021 21:39:31.988034 3431 db_lmdb.cpp:38] Opened lmdb examples/cifar10/cifar10_test_lmdb | |
| I1021 21:39:31.988154 3427 data_layer.cpp:45] output data size: 1000,3,32,32 | |
| I1021 21:39:32.007434 3427 net.cpp:150] Setting up cifar | |
| I1021 21:39:32.007467 3427 net.cpp:157] Top shape: 1000 3 32 32 (3072000) | |
| I1021 21:39:32.007470 3427 net.cpp:157] Top shape: 1000 (1000) | |
| I1021 21:39:32.007472 3427 net.cpp:165] Memory required for data: 12292000 | |
| I1021 21:39:32.007478 3427 layer_factory.hpp:76] Creating layer label_cifar_1_split | |
| I1021 21:39:32.007491 3427 net.cpp:106] Creating Layer label_cifar_1_split | |
| I1021 21:39:32.007494 3427 net.cpp:454] label_cifar_1_split <- label | |
| I1021 21:39:32.007498 3427 net.cpp:411] label_cifar_1_split -> label_cifar_1_split_0 | |
| I1021 21:39:32.007506 3427 net.cpp:411] label_cifar_1_split -> label_cifar_1_split_1 | |
| I1021 21:39:32.007663 3427 net.cpp:150] Setting up label_cifar_1_split | |
| I1021 21:39:32.007675 3427 net.cpp:157] Top shape: 1000 (1000) | |
| I1021 21:39:32.007678 3427 net.cpp:157] Top shape: 1000 (1000) | |
| I1021 21:39:32.007679 3427 net.cpp:165] Memory required for data: 12300000 | |
| I1021 21:39:32.007681 3427 layer_factory.hpp:76] Creating layer conv1 | |
| I1021 21:39:32.007699 3427 net.cpp:106] Creating Layer conv1 | |
| I1021 21:39:32.007700 3427 net.cpp:454] conv1 <- data | |
| I1021 21:39:32.007704 3427 net.cpp:411] conv1 -> conv1 | |
| I1021 21:39:32.008038 3427 net.cpp:150] Setting up conv1 | |
| I1021 21:39:32.008049 3427 net.cpp:157] Top shape: 1000 32 32 32 (32768000) | |
| I1021 21:39:32.008060 3427 net.cpp:165] Memory required for data: 143372000 | |
| I1021 21:39:32.008069 3427 layer_factory.hpp:76] Creating layer pool1 | |
| I1021 21:39:32.008074 3427 net.cpp:106] Creating Layer pool1 | |
| I1021 21:39:32.008076 3427 net.cpp:454] pool1 <- conv1 | |
| I1021 21:39:32.008080 3427 net.cpp:411] pool1 -> pool1 | |
| I1021 21:39:32.008105 3427 net.cpp:150] Setting up pool1 | |
| I1021 21:39:32.008110 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.008111 3427 net.cpp:165] Memory required for data: 176140000 | |
| I1021 21:39:32.008112 3427 layer_factory.hpp:76] Creating layer bn1 | |
| I1021 21:39:32.008119 3427 net.cpp:106] Creating Layer bn1 | |
| I1021 21:39:32.008121 3427 net.cpp:454] bn1 <- pool1 | |
| I1021 21:39:32.008124 3427 net.cpp:411] bn1 -> bn1 | |
| I1021 21:39:32.008246 3427 net.cpp:150] Setting up bn1 | |
| I1021 21:39:32.008251 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.008252 3427 net.cpp:165] Memory required for data: 208908000 | |
| I1021 21:39:32.008268 3427 layer_factory.hpp:76] Creating layer Sigmoid1 | |
| I1021 21:39:32.008272 3427 net.cpp:106] Creating Layer Sigmoid1 | |
| I1021 21:39:32.008275 3427 net.cpp:454] Sigmoid1 <- bn1 | |
| I1021 21:39:32.008277 3427 net.cpp:411] Sigmoid1 -> Sigmoid1 | |
| I1021 21:39:32.008291 3427 net.cpp:150] Setting up Sigmoid1 | |
| I1021 21:39:32.008293 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.008296 3427 net.cpp:165] Memory required for data: 241676000 | |
| I1021 21:39:32.008297 3427 layer_factory.hpp:76] Creating layer conv2 | |
| I1021 21:39:32.008302 3427 net.cpp:106] Creating Layer conv2 | |
| I1021 21:39:32.008347 3427 net.cpp:454] conv2 <- Sigmoid1 | |
| I1021 21:39:32.008355 3427 net.cpp:411] conv2 -> conv2 | |
| I1021 21:39:32.010607 3427 net.cpp:150] Setting up conv2 | |
| I1021 21:39:32.010617 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.010619 3427 net.cpp:165] Memory required for data: 274444000 | |
| I1021 21:39:32.010624 3427 layer_factory.hpp:76] Creating layer bn2 | |
| I1021 21:39:32.010630 3427 net.cpp:106] Creating Layer bn2 | |
| I1021 21:39:32.010633 3427 net.cpp:454] bn2 <- conv2 | |
| I1021 21:39:32.010637 3427 net.cpp:411] bn2 -> bn2 | |
| I1021 21:39:32.010776 3427 net.cpp:150] Setting up bn2 | |
| I1021 21:39:32.010781 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.010782 3427 net.cpp:165] Memory required for data: 307212000 | |
| I1021 21:39:32.010789 3427 layer_factory.hpp:76] Creating layer Sigmoid2 | |
| I1021 21:39:32.010794 3427 net.cpp:106] Creating Layer Sigmoid2 | |
| I1021 21:39:32.010797 3427 net.cpp:454] Sigmoid2 <- bn2 | |
| I1021 21:39:32.010798 3427 net.cpp:411] Sigmoid2 -> Sigmoid2 | |
| I1021 21:39:32.010812 3427 net.cpp:150] Setting up Sigmoid2 | |
| I1021 21:39:32.010815 3427 net.cpp:157] Top shape: 1000 32 16 16 (8192000) | |
| I1021 21:39:32.010818 3427 net.cpp:165] Memory required for data: 339980000 | |
| I1021 21:39:32.010819 3427 layer_factory.hpp:76] Creating layer pool2 | |
| I1021 21:39:32.010823 3427 net.cpp:106] Creating Layer pool2 | |
| I1021 21:39:32.010825 3427 net.cpp:454] pool2 <- Sigmoid2 | |
| I1021 21:39:32.010828 3427 net.cpp:411] pool2 -> pool2 | |
| I1021 21:39:32.010841 3427 net.cpp:150] Setting up pool2 | |
| I1021 21:39:32.010844 3427 net.cpp:157] Top shape: 1000 32 8 8 (2048000) | |
| I1021 21:39:32.010846 3427 net.cpp:165] Memory required for data: 348172000 | |
| I1021 21:39:32.010848 3427 layer_factory.hpp:76] Creating layer conv3 | |
| I1021 21:39:32.010854 3427 net.cpp:106] Creating Layer conv3 | |
| I1021 21:39:32.010855 3427 net.cpp:454] conv3 <- pool2 | |
| I1021 21:39:32.010859 3427 net.cpp:411] conv3 -> conv3 | |
| I1021 21:39:32.012171 3427 net.cpp:150] Setting up conv3 | |
| I1021 21:39:32.012176 3427 net.cpp:157] Top shape: 1000 64 8 8 (4096000) | |
| I1021 21:39:32.012177 3427 net.cpp:165] Memory required for data: 364556000 | |
| I1021 21:39:32.012181 3427 layer_factory.hpp:76] Creating layer bn3 | |
| I1021 21:39:32.012187 3427 net.cpp:106] Creating Layer bn3 | |
| I1021 21:39:32.012189 3427 net.cpp:454] bn3 <- conv3 | |
| I1021 21:39:32.012192 3427 net.cpp:411] bn3 -> bn3 | |
| I1021 21:39:32.012311 3427 net.cpp:150] Setting up bn3 | |
| I1021 21:39:32.012316 3427 net.cpp:157] Top shape: 1000 64 8 8 (4096000) | |
| I1021 21:39:32.012317 3427 net.cpp:165] Memory required for data: 380940000 | |
| I1021 21:39:32.012322 3427 layer_factory.hpp:76] Creating layer Sigmoid3 | |
| I1021 21:39:32.012326 3427 net.cpp:106] Creating Layer Sigmoid3 | |
| I1021 21:39:32.012328 3427 net.cpp:454] Sigmoid3 <- bn3 | |
| I1021 21:39:32.012331 3427 net.cpp:411] Sigmoid3 -> Sigmoid3 | |
| I1021 21:39:32.012343 3427 net.cpp:150] Setting up Sigmoid3 | |
| I1021 21:39:32.012347 3427 net.cpp:157] Top shape: 1000 64 8 8 (4096000) | |
| I1021 21:39:32.012348 3427 net.cpp:165] Memory required for data: 397324000 | |
| I1021 21:39:32.012351 3427 layer_factory.hpp:76] Creating layer pool3 | |
| I1021 21:39:32.012354 3427 net.cpp:106] Creating Layer pool3 | |
| I1021 21:39:32.012356 3427 net.cpp:454] pool3 <- Sigmoid3 | |
| I1021 21:39:32.012359 3427 net.cpp:411] pool3 -> pool3 | |
| I1021 21:39:32.012372 3427 net.cpp:150] Setting up pool3 | |
| I1021 21:39:32.012374 3427 net.cpp:157] Top shape: 1000 64 4 4 (1024000) | |
| I1021 21:39:32.012377 3427 net.cpp:165] Memory required for data: 401420000 | |
| I1021 21:39:32.012382 3427 layer_factory.hpp:76] Creating layer ip1 | |
| I1021 21:39:32.012387 3427 net.cpp:106] Creating Layer ip1 | |
| I1021 21:39:32.012389 3427 net.cpp:454] ip1 <- pool3 | |
| I1021 21:39:32.012393 3427 net.cpp:411] ip1 -> ip1 | |
| I1021 21:39:32.012711 3427 net.cpp:150] Setting up ip1 | |
| I1021 21:39:32.012717 3427 net.cpp:157] Top shape: 1000 10 (10000) | |
| I1021 21:39:32.012718 3427 net.cpp:165] Memory required for data: 401460000 | |
| I1021 21:39:32.012724 3427 layer_factory.hpp:76] Creating layer ip1_ip1_0_split | |
| I1021 21:39:32.012729 3427 net.cpp:106] Creating Layer ip1_ip1_0_split | |
| I1021 21:39:32.012745 3427 net.cpp:454] ip1_ip1_0_split <- ip1 | |
| I1021 21:39:32.012749 3427 net.cpp:411] ip1_ip1_0_split -> ip1_ip1_0_split_0 | |
| I1021 21:39:32.012753 3427 net.cpp:411] ip1_ip1_0_split -> ip1_ip1_0_split_1 | |
| I1021 21:39:32.012778 3427 net.cpp:150] Setting up ip1_ip1_0_split | |
| I1021 21:39:32.012783 3427 net.cpp:157] Top shape: 1000 10 (10000) | |
| I1021 21:39:32.012784 3427 net.cpp:157] Top shape: 1000 10 (10000) | |
| I1021 21:39:32.012786 3427 net.cpp:165] Memory required for data: 401540000 | |
| I1021 21:39:32.012789 3427 layer_factory.hpp:76] Creating layer accuracy | |
| I1021 21:39:32.012795 3427 net.cpp:106] Creating Layer accuracy | |
| I1021 21:39:32.012797 3427 net.cpp:454] accuracy <- ip1_ip1_0_split_0 | |
| I1021 21:39:32.012800 3427 net.cpp:454] accuracy <- label_cifar_1_split_0 | |
| I1021 21:39:32.012804 3427 net.cpp:411] accuracy -> accuracy | |
| I1021 21:39:32.012809 3427 net.cpp:150] Setting up accuracy | |
| I1021 21:39:32.012812 3427 net.cpp:157] Top shape: (1) | |
| I1021 21:39:32.012814 3427 net.cpp:165] Memory required for data: 401540004 | |
| I1021 21:39:32.012816 3427 layer_factory.hpp:76] Creating layer loss | |
| I1021 21:39:32.012820 3427 net.cpp:106] Creating Layer loss | |
| I1021 21:39:32.012821 3427 net.cpp:454] loss <- ip1_ip1_0_split_1 | |
| I1021 21:39:32.012825 3427 net.cpp:454] loss <- label_cifar_1_split_1 | |
| I1021 21:39:32.012827 3427 net.cpp:411] loss -> loss | |
| I1021 21:39:32.012832 3427 layer_factory.hpp:76] Creating layer loss | |
| I1021 21:39:32.012892 3427 net.cpp:150] Setting up loss | |
| I1021 21:39:32.012895 3427 net.cpp:157] Top shape: (1) | |
| I1021 21:39:32.012897 3427 net.cpp:160] with loss weight 1 | |
| I1021 21:39:32.012907 3427 net.cpp:165] Memory required for data: 401540008 | |
| I1021 21:39:32.012908 3427 net.cpp:226] loss needs backward computation. | |
| I1021 21:39:32.012910 3427 net.cpp:228] accuracy does not need backward computation. | |
| I1021 21:39:32.012912 3427 net.cpp:226] ip1_ip1_0_split needs backward computation. | |
| I1021 21:39:32.012914 3427 net.cpp:226] ip1 needs backward computation. | |
| I1021 21:39:32.012917 3427 net.cpp:226] pool3 needs backward computation. | |
| I1021 21:39:32.012918 3427 net.cpp:226] Sigmoid3 needs backward computation. | |
| I1021 21:39:32.012919 3427 net.cpp:226] bn3 needs backward computation. | |
| I1021 21:39:32.012922 3427 net.cpp:226] conv3 needs backward computation. | |
| I1021 21:39:32.012923 3427 net.cpp:226] pool2 needs backward computation. | |
| I1021 21:39:32.012925 3427 net.cpp:226] Sigmoid2 needs backward computation. | |
| I1021 21:39:32.012928 3427 net.cpp:226] bn2 needs backward computation. | |
| I1021 21:39:32.012929 3427 net.cpp:226] conv2 needs backward computation. | |
| I1021 21:39:32.012930 3427 net.cpp:226] Sigmoid1 needs backward computation. | |
| I1021 21:39:32.012933 3427 net.cpp:226] bn1 needs backward computation. | |
| I1021 21:39:32.012934 3427 net.cpp:226] pool1 needs backward computation. | |
| I1021 21:39:32.012936 3427 net.cpp:226] conv1 needs backward computation. | |
| I1021 21:39:32.012938 3427 net.cpp:228] label_cifar_1_split does not need backward computation. | |
| I1021 21:39:32.012940 3427 net.cpp:228] cifar does not need backward computation. | |
| I1021 21:39:32.012943 3427 net.cpp:270] This network produces output accuracy | |
| I1021 21:39:32.012944 3427 net.cpp:270] This network produces output loss | |
| I1021 21:39:32.012955 3427 net.cpp:283] Network initialization done. | |
| I1021 21:39:32.013012 3427 solver.cpp:59] Solver scaffolding done. | |
| I1021 21:39:32.013370 3427 caffe.cpp:212] Starting Optimization | |
| I1021 21:39:32.013376 3427 solver.cpp:287] Solving CIFAR10_full | |
| I1021 21:39:32.013378 3427 solver.cpp:288] Learning Rate Policy: poly | |
| I1021 21:39:32.013828 3427 solver.cpp:340] Iteration 0, Testing net (#0) | |
| I1021 21:39:32.014142 3427 blocking_queue.cpp:50] Data layer prefetch queue empty | |
| I1021 21:39:36.492568 3427 solver.cpp:408] Test net output #0: accuracy = 0.1 | |
| I1021 21:39:36.492605 3427 solver.cpp:408] Test net output #1: loss = 87.3365 (* 1 = 87.3365 loss) | |
| I1021 21:39:36.582258 3427 solver.cpp:236] Iteration 0, loss = 2.309 | |
| I1021 21:39:36.582298 3427 solver.cpp:252] Train net output #0: loss = 2.309 (* 1 = 2.309 loss) | |
| I1021 21:39:36.582363 3427 sgd_solver.cpp:106] Iteration 0, lr = 0.001 | |
| I1021 21:39:49.183332 3427 solver.cpp:236] Iteration 100, loss = 2.06843 | |
| I1021 21:39:49.183368 3427 solver.cpp:252] Train net output #0: loss = 2.06843 (* 1 = 2.06843 loss) | |
| I1021 21:39:49.183374 3427 sgd_solver.cpp:106] Iteration 100, lr = 0.00098995 | |
| I1021 21:40:02.056252 3427 solver.cpp:236] Iteration 200, loss = 1.88549 | |
| I1021 21:40:02.056336 3427 solver.cpp:252] Train net output #0: loss = 1.88549 (* 1 = 1.88549 loss) | |
| I1021 21:40:02.056344 3427 sgd_solver.cpp:106] Iteration 200, lr = 0.000979796 | |
| I1021 21:40:14.760164 3427 solver.cpp:236] Iteration 300, loss = 1.78708 | |
| I1021 21:40:14.760201 3427 solver.cpp:252] Train net output #0: loss = 1.78708 (* 1 = 1.78708 loss) | |
| I1021 21:40:14.760206 3427 sgd_solver.cpp:106] Iteration 300, lr = 0.000969536 | |
| I1021 21:40:27.368268 3427 solver.cpp:236] Iteration 400, loss = 1.73871 | |
| I1021 21:40:27.368304 3427 solver.cpp:252] Train net output #0: loss = 1.73871 (* 1 = 1.73871 loss) | |
| I1021 21:40:27.368309 3427 sgd_solver.cpp:106] Iteration 400, lr = 0.000959166 | |
| I1021 21:40:39.962333 3427 solver.cpp:236] Iteration 500, loss = 1.58247 | |
| I1021 21:40:39.962419 3427 solver.cpp:252] Train net output #0: loss = 1.58247 (* 1 = 1.58247 loss) | |
| I1021 21:40:39.962425 3427 sgd_solver.cpp:106] Iteration 500, lr = 0.000948683 | |
| I1021 21:40:52.493491 3427 solver.cpp:236] Iteration 600, loss = 1.53626 | |
| I1021 21:40:52.493516 3427 solver.cpp:252] Train net output #0: loss = 1.53626 (* 1 = 1.53626 loss) | |
| I1021 21:40:52.493522 3427 sgd_solver.cpp:106] Iteration 600, lr = 0.000938083 | |
| I1021 21:40:58.539062 3427 solver.cpp:236] Iteration 700, loss = 1.51635 | |
| I1021 21:40:58.539095 3427 solver.cpp:252] Train net output #0: loss = 1.51635 (* 1 = 1.51635 loss) | |
| I1021 21:40:58.539100 3427 sgd_solver.cpp:106] Iteration 700, lr = 0.000927362 | |
| I1021 21:41:04.584962 3427 solver.cpp:236] Iteration 800, loss = 1.43724 | |
| I1021 21:41:04.584987 3427 solver.cpp:252] Train net output #0: loss = 1.43724 (* 1 = 1.43724 loss) | |
| I1021 21:41:04.584991 3427 sgd_solver.cpp:106] Iteration 800, lr = 0.000916515 | |
| I1021 21:41:10.623792 3427 solver.cpp:236] Iteration 900, loss = 1.44181 | |
| I1021 21:41:10.623878 3427 solver.cpp:252] Train net output #0: loss = 1.44181 (* 1 = 1.44181 loss) | |
| I1021 21:41:10.623891 3427 sgd_solver.cpp:106] Iteration 900, lr = 0.000905539 | |
| I1021 21:41:16.632550 3427 solver.cpp:340] Iteration 1000, Testing net (#0) | |
| I1021 21:41:18.956629 3427 solver.cpp:408] Test net output #0: accuracy = 0.4018 | |
| I1021 21:41:18.956650 3427 solver.cpp:408] Test net output #1: loss = 1.63185 (* 1 = 1.63185 loss) | |
| I1021 21:41:18.995424 3427 solver.cpp:236] Iteration 1000, loss = 1.57062 | |
| I1021 21:41:18.995445 3427 solver.cpp:252] Train net output #0: loss = 1.57062 (* 1 = 1.57062 loss) | |
| I1021 21:41:18.995450 3427 sgd_solver.cpp:106] Iteration 1000, lr = 0.000894427 | |
| I1021 21:41:25.037570 3427 solver.cpp:236] Iteration 1100, loss = 1.31977 | |
| I1021 21:41:25.037595 3427 solver.cpp:252] Train net output #0: loss = 1.31977 (* 1 = 1.31977 loss) | |
| I1021 21:41:25.037600 3427 sgd_solver.cpp:106] Iteration 1100, lr = 0.000883176 | |
| I1021 21:41:31.078234 3427 solver.cpp:236] Iteration 1200, loss = 1.43099 | |
| I1021 21:41:31.078260 3427 solver.cpp:252] Train net output #0: loss = 1.43099 (* 1 = 1.43099 loss) | |
| I1021 21:41:31.078265 3427 sgd_solver.cpp:106] Iteration 1200, lr = 0.00087178 | |
| I1021 21:41:37.121426 3427 solver.cpp:236] Iteration 1300, loss = 1.4668 | |
| I1021 21:41:37.121451 3427 solver.cpp:252] Train net output #0: loss = 1.4668 (* 1 = 1.4668 loss) | |
| I1021 21:41:37.121456 3427 sgd_solver.cpp:106] Iteration 1300, lr = 0.000860233 | |
| I1021 21:41:43.162214 3427 solver.cpp:236] Iteration 1400, loss = 1.37483 | |
| I1021 21:41:43.162305 3427 solver.cpp:252] Train net output #0: loss = 1.37483 (* 1 = 1.37483 loss) | |
| I1021 21:41:43.162320 3427 sgd_solver.cpp:106] Iteration 1400, lr = 0.000848528 | |
| I1021 21:41:49.202479 3427 solver.cpp:236] Iteration 1500, loss = 1.35915 | |
| I1021 21:41:49.202504 3427 solver.cpp:252] Train net output #0: loss = 1.35915 (* 1 = 1.35915 loss) | |
| I1021 21:41:49.202509 3427 sgd_solver.cpp:106] Iteration 1500, lr = 0.00083666 | |
| I1021 21:41:55.248610 3427 solver.cpp:236] Iteration 1600, loss = 1.26454 | |
| I1021 21:41:55.248635 3427 solver.cpp:252] Train net output #0: loss = 1.26454 (* 1 = 1.26454 loss) | |
| I1021 21:41:55.248639 3427 sgd_solver.cpp:106] Iteration 1600, lr = 0.000824621 | |
| I1021 21:42:01.293602 3427 solver.cpp:236] Iteration 1700, loss = 1.29635 | |
| I1021 21:42:01.293627 3427 solver.cpp:252] Train net output #0: loss = 1.29635 (* 1 = 1.29635 loss) | |
| I1021 21:42:01.293632 3427 sgd_solver.cpp:106] Iteration 1700, lr = 0.000812404 | |
| I1021 21:42:07.332945 3427 solver.cpp:236] Iteration 1800, loss = 1.26151 | |
| I1021 21:42:07.332972 3427 solver.cpp:252] Train net output #0: loss = 1.26151 (* 1 = 1.26151 loss) | |
| I1021 21:42:07.332976 3427 sgd_solver.cpp:106] Iteration 1800, lr = 0.0008 | |
| I1021 21:42:13.372344 3427 solver.cpp:236] Iteration 1900, loss = 1.23388 | |
| I1021 21:42:13.372442 3427 solver.cpp:252] Train net output #0: loss = 1.23388 (* 1 = 1.23388 loss) | |
| I1021 21:42:13.372457 3427 sgd_solver.cpp:106] Iteration 1900, lr = 0.000787401 | |
| I1021 21:42:19.374846 3427 solver.cpp:340] Iteration 2000, Testing net (#0) | |
| I1021 21:42:21.688736 3427 solver.cpp:408] Test net output #0: accuracy = 0.3233 | |
| I1021 21:42:21.688760 3427 solver.cpp:408] Test net output #1: loss = 1.92475 (* 1 = 1.92475 loss) |
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