I0621 05:09:48.388129  9255 caffe.cpp:275] Use GPU with device ID 0
I0621 05:09:48.393854  9255 caffe.cpp:279] GPU device name: GeForce 930MX
I0621 05:09:48.584645  9255 upgrade_proto.cpp:53] Attempting to upgrade input file specified using deprecated V1LayerParameter: AdienceFaces/AgeGenderDeepLearning-master/gender_net_definitions/train_val_test_fold_is_0.prototxt
I0621 05:09:48.585021  9255 upgrade_proto.cpp:61] Successfully upgraded file specified using deprecated V1LayerParameter
I0621 05:09:48.585201  9255 net.cpp:294] The NetState phase (1) differed from the phase (0) specified by a rule in layer data
I0621 05:09:48.585419  9255 net.cpp:51] Initializing net from parameters: 
name: "CaffeNet"
state {
  phase: TEST
  level: 0
  stage: ""
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    mirror: false
    crop_size: 227
    mean_file: "AdienceFaces/mean_image/Test_folder_is_0/mean.binaryproto"
  }
  data_param {
    source: "AdienceFaces/lmdb/Test_fold_is_0/gender_val_lmdb"
    batch_size: 50
    backend: LMDB
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    kernel_size: 7
    stride: 4
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm1"
  type: "LRN"
  bottom: "pool1"
  top: "norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "norm1"
  top: "conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm2"
  type: "LRN"
  bottom: "pool2"
  top: "norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "norm2"
  top: "conv3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "InnerProduct"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "gaussian"
      std: 0.005
    }
    bias_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc8"
  type: "InnerProduct"
  bottom: "fc7"
  top: "fc8"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "accuracy"
  type: "Accuracy"
  bottom: "fc8"
  bottom: "label"
  top: "accuracy"
  include {
    phase: TEST
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "fc8"
  bottom: "label"
  top: "loss"
}
I0621 05:09:48.586058  9255 layer_factory.hpp:77] Creating layer data
I0621 05:09:48.586300  9255 db_lmdb.cpp:35] Opened lmdb AdienceFaces/lmdb/Test_fold_is_0/gender_val_lmdb
I0621 05:09:48.586360  9255 net.cpp:84] Creating Layer data
I0621 05:09:48.586410  9255 net.cpp:380] data -> data
I0621 05:09:48.586513  9255 net.cpp:380] data -> label
I0621 05:09:48.586549  9255 data_transformer.cpp:25] Loading mean file from: AdienceFaces/mean_image/Test_folder_is_0/mean.binaryproto
I0621 05:09:48.617580  9255 data_layer.cpp:45] output data size: 50,3,227,227
I0621 05:09:48.728407  9255 base_data_layer.cpp:72] Initializing prefetch
I0621 05:09:48.729188  9255 base_data_layer.cpp:75] Prefetch initialized.
I0621 05:09:48.729230  9255 net.cpp:122] Setting up data
I0621 05:09:48.729290  9255 net.cpp:129] Top shape: 50 3 227 227 (7729350)
I0621 05:09:48.729303  9255 net.cpp:129] Top shape: 50 (50)
I0621 05:09:48.729312  9255 net.cpp:137] Memory required for data: 30917600
I0621 05:09:48.729349  9255 layer_factory.hpp:77] Creating layer label_data_1_split
I0621 05:09:48.729396  9255 net.cpp:84] Creating Layer label_data_1_split
I0621 05:09:48.729423  9255 net.cpp:406] label_data_1_split <- label
I0621 05:09:48.729475  9255 net.cpp:380] label_data_1_split -> label_data_1_split_0
I0621 05:09:48.729509  9255 net.cpp:380] label_data_1_split -> label_data_1_split_1
I0621 05:09:48.729581  9255 net.cpp:122] Setting up label_data_1_split
I0621 05:09:48.729593  9255 net.cpp:129] Top shape: 50 (50)
I0621 05:09:48.729605  9255 net.cpp:129] Top shape: 50 (50)
I0621 05:09:48.729610  9255 net.cpp:137] Memory required for data: 30918000
I0621 05:09:48.729619  9255 layer_factory.hpp:77] Creating layer conv1
I0621 05:09:48.729665  9255 net.cpp:84] Creating Layer conv1
I0621 05:09:48.729676  9255 net.cpp:406] conv1 <- data
I0621 05:09:48.729701  9255 net.cpp:380] conv1 -> conv1
I0621 05:09:48.823750  9261 data_layer.cpp:128] Prefetch batch: 93 ms.
I0621 05:09:48.823793  9261 data_layer.cpp:129]      Read time: 3.164 ms.
I0621 05:09:48.823819  9261 data_layer.cpp:130] Transform time: 89.08 ms.
I0621 05:09:48.950062  9261 data_layer.cpp:128] Prefetch batch: 103 ms.
I0621 05:09:48.950088  9261 data_layer.cpp:129]      Read time: 2.973 ms.
I0621 05:09:48.950093  9261 data_layer.cpp:130] Transform time: 99.794 ms.
I0621 05:09:49.064715  9261 data_layer.cpp:128] Prefetch batch: 96 ms.
I0621 05:09:49.064748  9261 data_layer.cpp:129]      Read time: 2.9 ms.
I0621 05:09:49.064756  9261 data_layer.cpp:130] Transform time: 92.667 ms.
I0621 05:09:49.191263  9261 data_layer.cpp:128] Prefetch batch: 87 ms.
I0621 05:09:49.191290  9261 data_layer.cpp:129]      Read time: 2.586 ms.
I0621 05:09:49.191296  9261 data_layer.cpp:130] Transform time: 84.299 ms.
I0621 05:09:49.306834  9255 cudnn_conv_layer.cpp:194] Reallocating workspace storage: 56928
I0621 05:09:49.306882  9255 net.cpp:122] Setting up conv1
I0621 05:09:49.306928  9255 net.cpp:129] Top shape: 50 96 56 56 (15052800)
I0621 05:09:49.306934  9255 net.cpp:137] Memory required for data: 91129200
I0621 05:09:49.307025  9255 layer_factory.hpp:77] Creating layer relu1
I0621 05:09:49.307085  9255 net.cpp:84] Creating Layer relu1
I0621 05:09:49.307112  9255 net.cpp:406] relu1 <- conv1
I0621 05:09:49.307170  9255 net.cpp:367] relu1 -> conv1 (in-place)
I0621 05:09:49.307641  9255 net.cpp:122] Setting up relu1
I0621 05:09:49.307654  9255 net.cpp:129] Top shape: 50 96 56 56 (15052800)
I0621 05:09:49.307687  9255 net.cpp:137] Memory required for data: 151340400
I0621 05:09:49.307698  9255 layer_factory.hpp:77] Creating layer pool1
I0621 05:09:49.307744  9255 net.cpp:84] Creating Layer pool1
I0621 05:09:49.307755  9255 net.cpp:406] pool1 <- conv1
I0621 05:09:49.307778  9255 net.cpp:380] pool1 -> pool1
I0621 05:09:49.307869  9255 net.cpp:122] Setting up pool1
I0621 05:09:49.307883  9255 net.cpp:129] Top shape: 50 96 28 28 (3763200)
I0621 05:09:49.307888  9255 net.cpp:137] Memory required for data: 166393200
I0621 05:09:49.307895  9255 layer_factory.hpp:77] Creating layer norm1
I0621 05:09:49.307924  9255 net.cpp:84] Creating Layer norm1
I0621 05:09:49.307932  9255 net.cpp:406] norm1 <- pool1
I0621 05:09:49.307955  9255 net.cpp:380] norm1 -> norm1
I0621 05:09:49.308203  9255 net.cpp:122] Setting up norm1
I0621 05:09:49.308219  9255 net.cpp:129] Top shape: 50 96 28 28 (3763200)
I0621 05:09:49.308225  9255 net.cpp:137] Memory required for data: 181446000
I0621 05:09:49.308234  9255 layer_factory.hpp:77] Creating layer conv2
I0621 05:09:49.308275  9255 net.cpp:84] Creating Layer conv2
I0621 05:09:49.308285  9255 net.cpp:406] conv2 <- norm1
I0621 05:09:49.308321  9255 net.cpp:380] conv2 -> conv2
I0621 05:09:49.413105  9255 cudnn_conv_layer.cpp:194] Reallocating workspace storage: 20088
I0621 05:09:49.413169  9255 net.cpp:122] Setting up conv2
I0621 05:09:49.413202  9255 net.cpp:129] Top shape: 50 256 28 28 (10035200)
I0621 05:09:49.413213  9255 net.cpp:137] Memory required for data: 221586800
I0621 05:09:49.413260  9255 layer_factory.hpp:77] Creating layer relu2
I0621 05:09:49.413295  9255 net.cpp:84] Creating Layer relu2
I0621 05:09:49.413311  9255 net.cpp:406] relu2 <- conv2
I0621 05:09:49.413341  9255 net.cpp:367] relu2 -> conv2 (in-place)
I0621 05:09:49.413866  9255 net.cpp:122] Setting up relu2
I0621 05:09:49.413882  9255 net.cpp:129] Top shape: 50 256 28 28 (10035200)
I0621 05:09:49.413887  9255 net.cpp:137] Memory required for data: 261727600
I0621 05:09:49.413913  9255 layer_factory.hpp:77] Creating layer pool2
I0621 05:09:49.413966  9255 net.cpp:84] Creating Layer pool2
I0621 05:09:49.413980  9255 net.cpp:406] pool2 <- conv2
I0621 05:09:49.414011  9255 net.cpp:380] pool2 -> pool2
I0621 05:09:49.414144  9255 net.cpp:122] Setting up pool2
I0621 05:09:49.414158  9255 net.cpp:129] Top shape: 50 256 14 14 (2508800)
I0621 05:09:49.414165  9255 net.cpp:137] Memory required for data: 271762800
I0621 05:09:49.414189  9255 layer_factory.hpp:77] Creating layer norm2
I0621 05:09:49.414214  9255 net.cpp:84] Creating Layer norm2
I0621 05:09:49.414240  9255 net.cpp:406] norm2 <- pool2
I0621 05:09:49.414276  9255 net.cpp:380] norm2 -> norm2
I0621 05:09:49.414549  9255 net.cpp:122] Setting up norm2
I0621 05:09:49.414564  9255 net.cpp:129] Top shape: 50 256 14 14 (2508800)
I0621 05:09:49.414584  9255 net.cpp:137] Memory required for data: 281798000
I0621 05:09:49.414590  9255 layer_factory.hpp:77] Creating layer conv3
I0621 05:09:49.414636  9255 net.cpp:84] Creating Layer conv3
I0621 05:09:49.414646  9255 net.cpp:406] conv3 <- norm2
I0621 05:09:49.414685  9255 net.cpp:380] conv3 -> conv3
I0621 05:09:49.558434  9255 cudnn_conv_layer.cpp:194] Reallocating workspace storage: 18874368
I0621 05:09:49.558748  9255 net.cpp:122] Setting up conv3
I0621 05:09:49.558766  9255 net.cpp:129] Top shape: 50 384 14 14 (3763200)
I0621 05:09:49.558789  9255 net.cpp:137] Memory required for data: 296850800
I0621 05:09:49.558845  9255 layer_factory.hpp:77] Creating layer relu3
I0621 05:09:49.558871  9255 net.cpp:84] Creating Layer relu3
I0621 05:09:49.558881  9255 net.cpp:406] relu3 <- conv3
I0621 05:09:49.558900  9255 net.cpp:367] relu3 -> conv3 (in-place)
I0621 05:09:49.559327  9255 net.cpp:122] Setting up relu3
I0621 05:09:49.559340  9255 net.cpp:129] Top shape: 50 384 14 14 (3763200)
I0621 05:09:49.559342  9255 net.cpp:137] Memory required for data: 311903600
I0621 05:09:49.559348  9255 layer_factory.hpp:77] Creating layer pool5
I0621 05:09:49.559383  9255 net.cpp:84] Creating Layer pool5
I0621 05:09:49.559391  9255 net.cpp:406] pool5 <- conv3
I0621 05:09:49.559444  9255 net.cpp:380] pool5 -> pool5
I0621 05:09:49.559530  9255 net.cpp:122] Setting up pool5
I0621 05:09:49.559543  9255 net.cpp:129] Top shape: 50 384 7 7 (940800)
I0621 05:09:49.559548  9255 net.cpp:137] Memory required for data: 315666800
I0621 05:09:49.559568  9255 layer_factory.hpp:77] Creating layer fc6
I0621 05:09:49.559618  9255 net.cpp:84] Creating Layer fc6
I0621 05:09:49.559628  9255 net.cpp:406] fc6 <- pool5
I0621 05:09:49.559653  9255 net.cpp:380] fc6 -> fc6
I0621 05:09:51.081326  9255 net.cpp:122] Setting up fc6
I0621 05:09:51.081359  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.081364  9255 net.cpp:137] Memory required for data: 315769200
I0621 05:09:51.081393  9255 layer_factory.hpp:77] Creating layer relu6
I0621 05:09:51.081425  9255 net.cpp:84] Creating Layer relu6
I0621 05:09:51.081440  9255 net.cpp:406] relu6 <- fc6
I0621 05:09:51.081470  9255 net.cpp:367] relu6 -> fc6 (in-place)
I0621 05:09:51.082027  9255 net.cpp:122] Setting up relu6
I0621 05:09:51.082041  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.082046  9255 net.cpp:137] Memory required for data: 315871600
I0621 05:09:51.082056  9255 layer_factory.hpp:77] Creating layer drop6
I0621 05:09:51.082084  9255 net.cpp:84] Creating Layer drop6
I0621 05:09:51.082094  9255 net.cpp:406] drop6 <- fc6
I0621 05:09:51.082118  9255 net.cpp:367] drop6 -> fc6 (in-place)
I0621 05:09:51.082172  9255 net.cpp:122] Setting up drop6
I0621 05:09:51.082182  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.082186  9255 net.cpp:137] Memory required for data: 315974000
I0621 05:09:51.082193  9255 layer_factory.hpp:77] Creating layer fc7
I0621 05:09:51.082226  9255 net.cpp:84] Creating Layer fc7
I0621 05:09:51.082235  9255 net.cpp:406] fc7 <- fc6
I0621 05:09:51.082259  9255 net.cpp:380] fc7 -> fc7
I0621 05:09:51.124840  9255 net.cpp:122] Setting up fc7
I0621 05:09:51.124871  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.124876  9255 net.cpp:137] Memory required for data: 316076400
I0621 05:09:51.124956  9255 layer_factory.hpp:77] Creating layer relu7
I0621 05:09:51.124985  9255 net.cpp:84] Creating Layer relu7
I0621 05:09:51.125000  9255 net.cpp:406] relu7 <- fc7
I0621 05:09:51.125023  9255 net.cpp:367] relu7 -> fc7 (in-place)
I0621 05:09:51.125283  9255 net.cpp:122] Setting up relu7
I0621 05:09:51.125294  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.125298  9255 net.cpp:137] Memory required for data: 316178800
I0621 05:09:51.125306  9255 layer_factory.hpp:77] Creating layer drop7
I0621 05:09:51.125422  9255 net.cpp:84] Creating Layer drop7
I0621 05:09:51.125433  9255 net.cpp:406] drop7 <- fc7
I0621 05:09:51.125473  9255 net.cpp:367] drop7 -> fc7 (in-place)
I0621 05:09:51.125547  9255 net.cpp:122] Setting up drop7
I0621 05:09:51.125556  9255 net.cpp:129] Top shape: 50 512 (25600)
I0621 05:09:51.125560  9255 net.cpp:137] Memory required for data: 316281200
I0621 05:09:51.125586  9255 layer_factory.hpp:77] Creating layer fc8
I0621 05:09:51.125612  9255 net.cpp:84] Creating Layer fc8
I0621 05:09:51.125622  9255 net.cpp:406] fc8 <- fc7
I0621 05:09:51.125644  9255 net.cpp:380] fc8 -> fc8
I0621 05:09:51.126024  9255 net.cpp:122] Setting up fc8
I0621 05:09:51.126037  9255 net.cpp:129] Top shape: 50 2 (100)
I0621 05:09:51.126044  9255 net.cpp:137] Memory required for data: 316281600
I0621 05:09:51.126082  9255 layer_factory.hpp:77] Creating layer fc8_fc8_0_split
I0621 05:09:51.126106  9255 net.cpp:84] Creating Layer fc8_fc8_0_split
I0621 05:09:51.126114  9255 net.cpp:406] fc8_fc8_0_split <- fc8
I0621 05:09:51.126137  9255 net.cpp:380] fc8_fc8_0_split -> fc8_fc8_0_split_0
I0621 05:09:51.126175  9255 net.cpp:380] fc8_fc8_0_split -> fc8_fc8_0_split_1
I0621 05:09:51.126260  9255 net.cpp:122] Setting up fc8_fc8_0_split
I0621 05:09:51.126271  9255 net.cpp:129] Top shape: 50 2 (100)
I0621 05:09:51.126281  9255 net.cpp:129] Top shape: 50 2 (100)
I0621 05:09:51.126286  9255 net.cpp:137] Memory required for data: 316282400
I0621 05:09:51.126293  9255 layer_factory.hpp:77] Creating layer accuracy
I0621 05:09:51.126343  9255 net.cpp:84] Creating Layer accuracy
I0621 05:09:51.126353  9255 net.cpp:406] accuracy <- fc8_fc8_0_split_0
I0621 05:09:51.126372  9255 net.cpp:406] accuracy <- label_data_1_split_0
I0621 05:09:51.126389  9255 net.cpp:380] accuracy -> accuracy
I0621 05:09:51.126418  9255 net.cpp:122] Setting up accuracy
I0621 05:09:51.126428  9255 net.cpp:129] Top shape: (1)
I0621 05:09:51.126435  9255 net.cpp:137] Memory required for data: 316282404
I0621 05:09:51.126441  9255 layer_factory.hpp:77] Creating layer loss
I0621 05:09:51.126463  9255 net.cpp:84] Creating Layer loss
I0621 05:09:51.126471  9255 net.cpp:406] loss <- fc8_fc8_0_split_1
I0621 05:09:51.126487  9255 net.cpp:406] loss <- label_data_1_split_1
I0621 05:09:51.126503  9255 net.cpp:380] loss -> loss
I0621 05:09:51.126526  9255 layer_factory.hpp:77] Creating layer loss
I0621 05:09:51.127167  9255 net.cpp:122] Setting up loss
I0621 05:09:51.127182  9255 net.cpp:129] Top shape: (1)
I0621 05:09:51.127187  9255 net.cpp:132]     with loss weight 1
I0621 05:09:51.127199  9255 net.cpp:137] Memory required for data: 316282408
I0621 05:09:51.127209  9255 net.cpp:198] loss needs backward computation.
I0621 05:09:51.127221  9255 net.cpp:200] accuracy does not need backward computation.
I0621 05:09:51.127230  9255 net.cpp:198] fc8_fc8_0_split needs backward computation.
I0621 05:09:51.127238  9255 net.cpp:198] fc8 needs backward computation.
I0621 05:09:51.127245  9255 net.cpp:198] drop7 needs backward computation.
I0621 05:09:51.127252  9255 net.cpp:198] relu7 needs backward computation.
I0621 05:09:51.127259  9255 net.cpp:198] fc7 needs backward computation.
I0621 05:09:51.127267  9255 net.cpp:198] drop6 needs backward computation.
I0621 05:09:51.127274  9255 net.cpp:198] relu6 needs backward computation.
I0621 05:09:51.127280  9255 net.cpp:198] fc6 needs backward computation.
I0621 05:09:51.127288  9255 net.cpp:198] pool5 needs backward computation.
I0621 05:09:51.127296  9255 net.cpp:198] relu3 needs backward computation.
I0621 05:09:51.127303  9255 net.cpp:198] conv3 needs backward computation.
I0621 05:09:51.127312  9255 net.cpp:198] norm2 needs backward computation.
I0621 05:09:51.127320  9255 net.cpp:198] pool2 needs backward computation.
I0621 05:09:51.127327  9255 net.cpp:198] relu2 needs backward computation.
I0621 05:09:51.127334  9255 net.cpp:198] conv2 needs backward computation.
I0621 05:09:51.127341  9255 net.cpp:198] norm1 needs backward computation.
I0621 05:09:51.127348  9255 net.cpp:198] pool1 needs backward computation.
I0621 05:09:51.127357  9255 net.cpp:198] relu1 needs backward computation.
I0621 05:09:51.127363  9255 net.cpp:198] conv1 needs backward computation.
I0621 05:09:51.127372  9255 net.cpp:200] label_data_1_split does not need backward computation.
I0621 05:09:51.127383  9255 net.cpp:200] data does not need backward computation.
I0621 05:09:51.127393  9255 net.cpp:242] This network produces output accuracy
I0621 05:09:51.127406  9255 net.cpp:242] This network produces output loss
I0621 05:09:51.127449  9255 net.cpp:255] Network initialization done.
I0621 05:09:51.194526  9255 upgrade_proto.cpp:53] Attempting to upgrade input file specified using deprecated V1LayerParameter: AdienceFaces/cnn_age_gender_models_and_data.0.0.2/gender_net.caffemodel
I0621 05:09:51.301928  9255 upgrade_proto.cpp:61] Successfully upgraded file specified using deprecated V1LayerParameter
I0621 05:09:51.303406  9255 net.cpp:747] Copying source layer data
I0621 05:09:51.303419  9255 net.cpp:747] Copying source layer conv1
I0621 05:09:51.303601  9255 net.cpp:747] Copying source layer relu1
I0621 05:09:51.303606  9255 net.cpp:747] Copying source layer pool1
I0621 05:09:51.303611  9255 net.cpp:747] Copying source layer norm1
I0621 05:09:51.303617  9255 net.cpp:747] Copying source layer conv2
I0621 05:09:51.310904  9255 net.cpp:747] Copying source layer relu2
I0621 05:09:51.310925  9255 net.cpp:747] Copying source layer pool2
I0621 05:09:51.310930  9255 net.cpp:747] Copying source layer norm2
I0621 05:09:51.310935  9255 net.cpp:747] Copying source layer conv3
I0621 05:09:51.322808  9255 net.cpp:747] Copying source layer relu3
I0621 05:09:51.322834  9255 net.cpp:747] Copying source layer pool5
I0621 05:09:51.322839  9255 net.cpp:747] Copying source layer fc6
I0621 05:09:51.433490  9255 net.cpp:747] Copying source layer relu6
I0621 05:09:51.433516  9255 net.cpp:747] Copying source layer drop6
I0621 05:09:51.433521  9255 net.cpp:747] Copying source layer fc7
I0621 05:09:51.436537  9255 net.cpp:747] Copying source layer relu7
I0621 05:09:51.436547  9255 net.cpp:747] Copying source layer drop7
I0621 05:09:51.436553  9255 net.cpp:747] Copying source layer fc8
I0621 05:09:51.436594  9255 net.cpp:747] Copying source layer loss
I0621 05:09:51.439545  9255 caffe.cpp:290] Running for 100 iterations.
I0621 05:09:51.850666  9255 caffe.cpp:313] Batch 0, accuracy = 1
I0621 05:09:51.850708  9255 caffe.cpp:313] Batch 0, loss = 0.00345826
I0621 05:09:52.231902  9255 caffe.cpp:313] Batch 1, accuracy = 1
I0621 05:09:52.231931  9255 caffe.cpp:313] Batch 1, loss = 0.00543861
I0621 05:09:52.293975  9261 data_layer.cpp:128] Prefetch batch: 443 ms.
I0621 05:09:52.294000  9261 data_layer.cpp:129]      Read time: 2.476 ms.
I0621 05:09:52.294004  9261 data_layer.cpp:130] Transform time: 440.285 ms.
I0621 05:09:52.634951  9255 caffe.cpp:313] Batch 2, accuracy = 1
I0621 05:09:52.634982  9255 caffe.cpp:313] Batch 2, loss = 0.000695975
I0621 05:09:53.004689  9255 caffe.cpp:313] Batch 3, accuracy = 1
I0621 05:09:53.004719  9255 caffe.cpp:313] Batch 3, loss = 0.00333613
I0621 05:09:53.071915  9261 data_layer.cpp:128] Prefetch batch: 455 ms.
I0621 05:09:53.071943  9261 data_layer.cpp:129]      Read time: 2.571 ms.
I0621 05:09:53.071946  9261 data_layer.cpp:130] Transform time: 452.387 ms.
I0621 05:09:53.417047  9255 caffe.cpp:313] Batch 4, accuracy = 1
I0621 05:09:53.417076  9255 caffe.cpp:313] Batch 4, loss = 0.00575129
I0621 05:09:53.481355  9261 data_layer.cpp:128] Prefetch batch: 88 ms.
I0621 05:09:53.481384  9261 data_layer.cpp:129]      Read time: 2.486 ms.
I0621 05:09:53.481389  9261 data_layer.cpp:130] Transform time: 85.3 ms.
I0621 05:09:53.820837  9255 caffe.cpp:313] Batch 5, accuracy = 1
I0621 05:09:53.820874  9255 caffe.cpp:313] Batch 5, loss = 0.00198811
I0621 05:09:54.183792  9255 caffe.cpp:313] Batch 6, accuracy = 1
I0621 05:09:54.183823  9255 caffe.cpp:313] Batch 6, loss = 0.0136313
I0621 05:09:54.183840  9255 blocking_queue.cpp:49] Waiting for data
I0621 05:09:54.248551  9261 data_layer.cpp:128] Prefetch batch: 446 ms.
I0621 05:09:54.248576  9261 data_layer.cpp:129]      Read time: 2.553 ms.
I0621 05:09:54.248581  9261 data_layer.cpp:130] Transform time: 443.267 ms.
I0621 05:09:54.654839  9255 caffe.cpp:313] Batch 7, accuracy = 1
I0621 05:09:54.654868  9255 caffe.cpp:313] Batch 7, loss = 0.0324289
I0621 05:09:54.720398  9261 data_layer.cpp:128] Prefetch batch: 453 ms.
I0621 05:09:54.720438  9261 data_layer.cpp:129]      Read time: 2.55 ms.
I0621 05:09:54.720444  9261 data_layer.cpp:130] Transform time: 450.169 ms.
I0621 05:09:55.131585  9255 caffe.cpp:313] Batch 8, accuracy = 1
I0621 05:09:55.131615  9255 caffe.cpp:313] Batch 8, loss = 0.000437437
I0621 05:09:55.207064  9261 data_layer.cpp:128] Prefetch batch: 465 ms.
I0621 05:09:55.207087  9261 data_layer.cpp:129]      Read time: 3.146 ms.
I0621 05:09:55.207092  9261 data_layer.cpp:130] Transform time: 461.25 ms.
I0621 05:09:55.609077  9255 caffe.cpp:313] Batch 9, accuracy = 1
I0621 05:09:55.609107  9255 caffe.cpp:313] Batch 9, loss = 0.00109834
I0621 05:09:55.674460  9261 data_layer.cpp:128] Prefetch batch: 446 ms.
I0621 05:09:55.674485  9261 data_layer.cpp:129]      Read time: 2.531 ms.
I0621 05:09:55.674489  9261 data_layer.cpp:130] Transform time: 443.034 ms.
I0621 05:09:56.072248  9255 caffe.cpp:313] Batch 10, accuracy = 1
I0621 05:09:56.072279  9255 caffe.cpp:313] Batch 10, loss = 0.00132802
I0621 05:09:56.135673  9261 data_layer.cpp:128] Prefetch batch: 442 ms.
I0621 05:09:56.135697  9261 data_layer.cpp:129]      Read time: 2.655 ms.
I0621 05:09:56.135701  9261 data_layer.cpp:130] Transform time: 439.28 ms.
I0621 05:09:56.262409  9261 data_layer.cpp:128] Prefetch batch: 108 ms.
I0621 05:09:56.262456  9261 data_layer.cpp:129]      Read time: 2.761 ms.
I0621 05:09:56.262464  9261 data_layer.cpp:130] Transform time: 104.838 ms.
I0621 05:09:56.605702  9255 caffe.cpp:313] Batch 11, accuracy = 0.98
I0621 05:09:56.605773  9255 caffe.cpp:313] Batch 11, loss = 0.089439
I0621 05:09:56.677290  9261 data_layer.cpp:128] Prefetch batch: 98 ms.
I0621 05:09:56.677315  9261 data_layer.cpp:129]      Read time: 2.775 ms.
I0621 05:09:56.677321  9261 data_layer.cpp:130] Transform time: 94.58 ms.
I0621 05:09:57.095875  9255 caffe.cpp:313] Batch 12, accuracy = 1
I0621 05:09:57.095901  9255 caffe.cpp:313] Batch 12, loss = 0.000852685
I0621 05:09:57.162714  9261 data_layer.cpp:128] Prefetch batch: 91 ms.
I0621 05:09:57.162739  9261 data_layer.cpp:129]      Read time: 2.691 ms.
I0621 05:09:57.162744  9261 data_layer.cpp:130] Transform time: 88.191 ms.
I0621 05:09:57.585988  9255 caffe.cpp:313] Batch 13, accuracy = 1
I0621 05:09:57.586016  9255 caffe.cpp:313] Batch 13, loss = 0.0014817
I0621 05:09:57.656692  9261 data_layer.cpp:128] Prefetch batch: 97 ms.
I0621 05:09:57.656715  9261 data_layer.cpp:129]      Read time: 2.685 ms.
I0621 05:09:57.656719  9261 data_layer.cpp:130] Transform time: 93.76 ms.
I0621 05:09:58.006120  9255 caffe.cpp:313] Batch 14, accuracy = 1
I0621 05:09:58.006152  9255 caffe.cpp:313] Batch 14, loss = 0.00153036
I0621 05:09:58.453860  9255 caffe.cpp:313] Batch 15, accuracy = 1
I0621 05:09:58.453889  9255 caffe.cpp:313] Batch 15, loss = 0.0154516
I0621 05:09:58.529845  9261 data_layer.cpp:128] Prefetch batch: 542 ms.
I0621 05:09:58.529868  9261 data_layer.cpp:129]      Read time: 2.999 ms.
I0621 05:09:58.529872  9261 data_layer.cpp:130] Transform time: 538.218 ms.
I0621 05:09:59.001708  9255 caffe.cpp:313] Batch 16, accuracy = 0.98
I0621 05:09:59.001741  9255 caffe.cpp:313] Batch 16, loss = 0.0388879
I0621 05:09:59.075336  9261 data_layer.cpp:128] Prefetch batch: 526 ms.
I0621 05:09:59.075361  9261 data_layer.cpp:129]      Read time: 2.806 ms.
I0621 05:09:59.075366  9261 data_layer.cpp:130] Transform time: 522.335 ms.
I0621 05:09:59.552593  9255 caffe.cpp:313] Batch 17, accuracy = 1
I0621 05:09:59.552623  9255 caffe.cpp:313] Batch 17, loss = 0.00654772
I0621 05:09:59.617159  9261 data_layer.cpp:128] Prefetch batch: 523 ms.
I0621 05:09:59.617185  9261 data_layer.cpp:129]      Read time: 2.575 ms.
I0621 05:09:59.617190  9261 data_layer.cpp:130] Transform time: 520.182 ms.
I0621 05:10:00.038475  9255 caffe.cpp:313] Batch 18, accuracy = 1
I0621 05:10:00.038508  9255 caffe.cpp:313] Batch 18, loss = 0.00222036
I0621 05:10:00.110288  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:00.110316  9261 data_layer.cpp:129]      Read time: 2.874 ms.
I0621 05:10:00.110340  9261 data_layer.cpp:130] Transform time: 470.626 ms.
I0621 05:10:00.595381  9255 caffe.cpp:313] Batch 19, accuracy = 1
I0621 05:10:00.595413  9255 caffe.cpp:313] Batch 19, loss = 0.00456996
I0621 05:10:00.683594  9261 data_layer.cpp:128] Prefetch batch: 554 ms.
I0621 05:10:00.683619  9261 data_layer.cpp:129]      Read time: 3.606 ms.
I0621 05:10:00.683624  9261 data_layer.cpp:130] Transform time: 549.292 ms.
I0621 05:10:01.121162  9255 caffe.cpp:313] Batch 20, accuracy = 1
I0621 05:10:01.121196  9255 caffe.cpp:313] Batch 20, loss = 0.00238464
I0621 05:10:01.185638  9261 data_layer.cpp:128] Prefetch batch: 483 ms.
I0621 05:10:01.185663  9261 data_layer.cpp:129]      Read time: 2.745 ms.
I0621 05:10:01.185667  9261 data_layer.cpp:130] Transform time: 479.82 ms.
I0621 05:10:01.611837  9255 caffe.cpp:313] Batch 21, accuracy = 0.94
I0621 05:10:01.611871  9255 caffe.cpp:313] Batch 21, loss = 0.249902
I0621 05:10:01.679471  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:01.679497  9261 data_layer.cpp:129]      Read time: 2.752 ms.
I0621 05:10:01.679500  9261 data_layer.cpp:130] Transform time: 471.448 ms.
I0621 05:10:02.104100  9255 caffe.cpp:313] Batch 22, accuracy = 1
I0621 05:10:02.104130  9255 caffe.cpp:313] Batch 22, loss = 0.013257
I0621 05:10:02.168272  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:02.168318  9261 data_layer.cpp:129]      Read time: 2.618 ms.
I0621 05:10:02.168323  9261 data_layer.cpp:130] Transform time: 467.106 ms.
I0621 05:10:02.649461  9255 caffe.cpp:313] Batch 23, accuracy = 0.98
I0621 05:10:02.649492  9255 caffe.cpp:313] Batch 23, loss = 0.101673
I0621 05:10:02.713213  9261 data_layer.cpp:128] Prefetch batch: 526 ms.
I0621 05:10:02.713237  9261 data_layer.cpp:129]      Read time: 2.932 ms.
I0621 05:10:02.713241  9261 data_layer.cpp:130] Transform time: 522.952 ms.
I0621 05:10:03.136209  9255 caffe.cpp:313] Batch 24, accuracy = 0.96
I0621 05:10:03.136242  9255 caffe.cpp:313] Batch 24, loss = 0.0490273
I0621 05:10:03.200739  9261 data_layer.cpp:128] Prefetch batch: 468 ms.
I0621 05:10:03.200760  9261 data_layer.cpp:129]      Read time: 2.596 ms.
I0621 05:10:03.200765  9261 data_layer.cpp:130] Transform time: 465.621 ms.
I0621 05:10:03.627660  9255 caffe.cpp:313] Batch 25, accuracy = 0.98
I0621 05:10:03.627693  9255 caffe.cpp:313] Batch 25, loss = 0.0429638
I0621 05:10:03.676492  9261 data_layer.cpp:73] Restarting data prefetching from start.
I0621 05:10:03.690582  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:03.690604  9261 data_layer.cpp:129]      Read time: 2.373 ms.
I0621 05:10:03.690608  9261 data_layer.cpp:130] Transform time: 468.474 ms.
I0621 05:10:04.117252  9255 caffe.cpp:313] Batch 26, accuracy = 0.96
I0621 05:10:04.117285  9255 caffe.cpp:313] Batch 26, loss = 0.061624
I0621 05:10:04.180125  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:04.180147  9261 data_layer.cpp:129]      Read time: 2.135 ms.
I0621 05:10:04.180151  9261 data_layer.cpp:130] Transform time: 468.326 ms.
I0621 05:10:04.604143  9255 caffe.cpp:313] Batch 27, accuracy = 1
I0621 05:10:04.604172  9255 caffe.cpp:313] Batch 27, loss = 0.00311931
I0621 05:10:04.669706  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:04.669729  9261 data_layer.cpp:129]      Read time: 2.218 ms.
I0621 05:10:04.669734  9261 data_layer.cpp:130] Transform time: 468.031 ms.
I0621 05:10:05.116358  9255 caffe.cpp:313] Batch 28, accuracy = 1
I0621 05:10:05.116387  9255 caffe.cpp:313] Batch 28, loss = 0.00544837
I0621 05:10:05.182485  9261 data_layer.cpp:128] Prefetch batch: 494 ms.
I0621 05:10:05.182509  9261 data_layer.cpp:129]      Read time: 2.008 ms.
I0621 05:10:05.182513  9261 data_layer.cpp:130] Transform time: 491.731 ms.
I0621 05:10:05.609772  9255 caffe.cpp:313] Batch 29, accuracy = 1
I0621 05:10:05.609800  9255 caffe.cpp:313] Batch 29, loss = 0.00203879
I0621 05:10:05.672799  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:05.672822  9261 data_layer.cpp:129]      Read time: 1.909 ms.
I0621 05:10:05.672827  9261 data_layer.cpp:130] Transform time: 469.052 ms.
I0621 05:10:06.110100  9255 caffe.cpp:313] Batch 30, accuracy = 1
I0621 05:10:06.110128  9255 caffe.cpp:313] Batch 30, loss = 0.00226966
I0621 05:10:06.177919  9261 data_layer.cpp:128] Prefetch batch: 486 ms.
I0621 05:10:06.177950  9261 data_layer.cpp:129]      Read time: 2.178 ms.
I0621 05:10:06.177958  9261 data_layer.cpp:130] Transform time: 483.528 ms.
I0621 05:10:06.645843  9255 caffe.cpp:313] Batch 31, accuracy = 1
I0621 05:10:06.645872  9255 caffe.cpp:313] Batch 31, loss = 0.00619339
I0621 05:10:06.710574  9261 data_layer.cpp:128] Prefetch batch: 511 ms.
I0621 05:10:06.710597  9261 data_layer.cpp:129]      Read time: 2.053 ms.
I0621 05:10:06.710602  9261 data_layer.cpp:130] Transform time: 509.176 ms.
I0621 05:10:07.154237  9255 caffe.cpp:313] Batch 32, accuracy = 1
I0621 05:10:07.154271  9255 caffe.cpp:313] Batch 32, loss = 0.00130428
I0621 05:10:07.234674  9261 data_layer.cpp:128] Prefetch batch: 505 ms.
I0621 05:10:07.234697  9261 data_layer.cpp:129]      Read time: 2.515 ms.
I0621 05:10:07.234701  9261 data_layer.cpp:130] Transform time: 501.933 ms.
I0621 05:10:07.693024  9255 caffe.cpp:313] Batch 33, accuracy = 1
I0621 05:10:07.693053  9255 caffe.cpp:313] Batch 33, loss = 0.0241075
I0621 05:10:07.759130  9261 data_layer.cpp:128] Prefetch batch: 505 ms.
I0621 05:10:07.759155  9261 data_layer.cpp:129]      Read time: 1.943 ms.
I0621 05:10:07.759214  9261 data_layer.cpp:130] Transform time: 503.556 ms.
I0621 05:10:08.209447  9255 caffe.cpp:313] Batch 34, accuracy = 1
I0621 05:10:08.209475  9255 caffe.cpp:313] Batch 34, loss = 0.0220396
I0621 05:10:08.273260  9261 data_layer.cpp:128] Prefetch batch: 495 ms.
I0621 05:10:08.273283  9261 data_layer.cpp:129]      Read time: 2.012 ms.
I0621 05:10:08.273288  9261 data_layer.cpp:130] Transform time: 492.941 ms.
I0621 05:10:08.707206  9255 caffe.cpp:313] Batch 35, accuracy = 1
I0621 05:10:08.707242  9255 caffe.cpp:313] Batch 35, loss = 0.000269073
I0621 05:10:08.770939  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:08.770963  9261 data_layer.cpp:129]      Read time: 2.088 ms.
I0621 05:10:08.770967  9261 data_layer.cpp:130] Transform time: 476.299 ms.
I0621 05:10:09.211122  9255 caffe.cpp:313] Batch 36, accuracy = 1
I0621 05:10:09.211150  9255 caffe.cpp:313] Batch 36, loss = 0.00187037
I0621 05:10:09.275471  9261 data_layer.cpp:128] Prefetch batch: 485 ms.
I0621 05:10:09.275496  9261 data_layer.cpp:129]      Read time: 1.992 ms.
I0621 05:10:09.275499  9261 data_layer.cpp:130] Transform time: 483.245 ms.
I0621 05:10:09.707247  9255 caffe.cpp:313] Batch 37, accuracy = 1
I0621 05:10:09.707276  9255 caffe.cpp:313] Batch 37, loss = 0.000554118
I0621 05:10:09.772718  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:09.772740  9261 data_layer.cpp:129]      Read time: 2.068 ms.
I0621 05:10:09.772745  9261 data_layer.cpp:130] Transform time: 476.137 ms.
I0621 05:10:10.194701  9255 caffe.cpp:313] Batch 38, accuracy = 0.98
I0621 05:10:10.194728  9255 caffe.cpp:313] Batch 38, loss = 0.0897981
I0621 05:10:10.266548  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:10.266571  9261 data_layer.cpp:129]      Read time: 2.23 ms.
I0621 05:10:10.266575  9261 data_layer.cpp:130] Transform time: 471.712 ms.
I0621 05:10:10.702741  9255 caffe.cpp:313] Batch 39, accuracy = 1
I0621 05:10:10.702770  9255 caffe.cpp:313] Batch 39, loss = 0.000841885
I0621 05:10:10.767951  9261 data_layer.cpp:128] Prefetch batch: 482 ms.
I0621 05:10:10.767977  9261 data_layer.cpp:129]      Read time: 2.025 ms.
I0621 05:10:10.767982  9261 data_layer.cpp:130] Transform time: 479.745 ms.
I0621 05:10:11.194497  9255 caffe.cpp:313] Batch 40, accuracy = 1
I0621 05:10:11.194535  9255 caffe.cpp:313] Batch 40, loss = 0.00161345
I0621 05:10:11.259649  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:11.259670  9261 data_layer.cpp:129]      Read time: 2.057 ms.
I0621 05:10:11.259675  9261 data_layer.cpp:130] Transform time: 470.31 ms.
I0621 05:10:11.693092  9255 caffe.cpp:313] Batch 41, accuracy = 1
I0621 05:10:11.693125  9255 caffe.cpp:313] Batch 41, loss = 0.0142535
I0621 05:10:11.759941  9261 data_layer.cpp:128] Prefetch batch: 481 ms.
I0621 05:10:11.759968  9261 data_layer.cpp:129]      Read time: 2.113 ms.
I0621 05:10:11.759973  9261 data_layer.cpp:130] Transform time: 478.58 ms.
I0621 05:10:12.193846  9255 caffe.cpp:313] Batch 42, accuracy = 0.98
I0621 05:10:12.193881  9255 caffe.cpp:313] Batch 42, loss = 0.0280041
I0621 05:10:12.257475  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:12.257499  9261 data_layer.cpp:129]      Read time: 1.985 ms.
I0621 05:10:12.257503  9261 data_layer.cpp:130] Transform time: 476.255 ms.
I0621 05:10:12.686233  9255 caffe.cpp:313] Batch 43, accuracy = 1
I0621 05:10:12.686264  9255 caffe.cpp:313] Batch 43, loss = 0.0132677
I0621 05:10:12.752446  9261 data_layer.cpp:128] Prefetch batch: 476 ms.
I0621 05:10:12.752468  9261 data_layer.cpp:129]      Read time: 2.111 ms.
I0621 05:10:12.752472  9261 data_layer.cpp:130] Transform time: 473.462 ms.
I0621 05:10:13.181036  9255 caffe.cpp:313] Batch 44, accuracy = 1
I0621 05:10:13.181068  9255 caffe.cpp:313] Batch 44, loss = 0.00657825
I0621 05:10:13.244959  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:13.244982  9261 data_layer.cpp:129]      Read time: 2.086 ms.
I0621 05:10:13.244987  9261 data_layer.cpp:130] Transform time: 470.871 ms.
I0621 05:10:13.689447  9255 caffe.cpp:313] Batch 45, accuracy = 1
I0621 05:10:13.689484  9255 caffe.cpp:313] Batch 45, loss = 0.00529458
I0621 05:10:13.754181  9261 data_layer.cpp:128] Prefetch batch: 490 ms.
I0621 05:10:13.754206  9261 data_layer.cpp:129]      Read time: 2.076 ms.
I0621 05:10:13.754210  9261 data_layer.cpp:130] Transform time: 487.886 ms.
I0621 05:10:14.188201  9255 caffe.cpp:313] Batch 46, accuracy = 1
I0621 05:10:14.188235  9255 caffe.cpp:313] Batch 46, loss = 0.00130833
I0621 05:10:14.251134  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:14.251157  9261 data_layer.cpp:129]      Read time: 1.966 ms.
I0621 05:10:14.251161  9261 data_layer.cpp:130] Transform time: 475.926 ms.
I0621 05:10:14.674515  9255 caffe.cpp:313] Batch 47, accuracy = 1
I0621 05:10:14.674594  9255 caffe.cpp:313] Batch 47, loss = 0.00270342
I0621 05:10:14.737648  9261 data_layer.cpp:128] Prefetch batch: 466 ms.
I0621 05:10:14.737673  9261 data_layer.cpp:129]      Read time: 2.029 ms.
I0621 05:10:14.737676  9261 data_layer.cpp:130] Transform time: 464.179 ms.
I0621 05:10:15.163300  9255 caffe.cpp:313] Batch 48, accuracy = 0.94
I0621 05:10:15.163328  9255 caffe.cpp:313] Batch 48, loss = 0.249731
I0621 05:10:15.226248  9261 data_layer.cpp:128] Prefetch batch: 469 ms.
I0621 05:10:15.226279  9261 data_layer.cpp:129]      Read time: 1.975 ms.
I0621 05:10:15.226285  9261 data_layer.cpp:130] Transform time: 467.492 ms.
I0621 05:10:15.652357  9255 caffe.cpp:313] Batch 49, accuracy = 1
I0621 05:10:15.652386  9255 caffe.cpp:313] Batch 49, loss = 0.0132662
I0621 05:10:15.717767  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:15.717792  9261 data_layer.cpp:129]      Read time: 1.984 ms.
I0621 05:10:15.717797  9261 data_layer.cpp:130] Transform time: 470.346 ms.
I0621 05:10:16.144520  9255 caffe.cpp:313] Batch 50, accuracy = 0.98
I0621 05:10:16.144546  9255 caffe.cpp:313] Batch 50, loss = 0.101816
I0621 05:10:16.209931  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:16.209955  9261 data_layer.cpp:129]      Read time: 2.07 ms.
I0621 05:10:16.209960  9261 data_layer.cpp:130] Transform time: 469.55 ms.
I0621 05:10:16.645532  9255 caffe.cpp:313] Batch 51, accuracy = 0.96
I0621 05:10:16.645560  9255 caffe.cpp:313] Batch 51, loss = 0.0491293
I0621 05:10:16.710378  9261 data_layer.cpp:128] Prefetch batch: 481 ms.
I0621 05:10:16.710404  9261 data_layer.cpp:129]      Read time: 1.96 ms.
I0621 05:10:16.710410  9261 data_layer.cpp:130] Transform time: 478.837 ms.
I0621 05:10:17.141708  9255 caffe.cpp:313] Batch 52, accuracy = 0.96
I0621 05:10:17.141737  9255 caffe.cpp:313] Batch 52, loss = 0.0590623
I0621 05:10:17.177822  9261 data_layer.cpp:73] Restarting data prefetching from start.
I0621 05:10:17.207149  9261 data_layer.cpp:128] Prefetch batch: 477 ms.
I0621 05:10:17.207171  9261 data_layer.cpp:129]      Read time: 2.172 ms.
I0621 05:10:17.207177  9261 data_layer.cpp:130] Transform time: 475.171 ms.
I0621 05:10:17.640935  9255 caffe.cpp:313] Batch 53, accuracy = 0.98
I0621 05:10:17.640962  9255 caffe.cpp:313] Batch 53, loss = 0.0465135
I0621 05:10:17.705500  9261 data_layer.cpp:128] Prefetch batch: 479 ms.
I0621 05:10:17.705523  9261 data_layer.cpp:129]      Read time: 2.041 ms.
I0621 05:10:17.705528  9261 data_layer.cpp:130] Transform time: 477.071 ms.
I0621 05:10:18.138242  9255 caffe.cpp:313] Batch 54, accuracy = 1
I0621 05:10:18.138274  9255 caffe.cpp:313] Batch 54, loss = 0.00193586
I0621 05:10:18.199862  9261 data_layer.cpp:128] Prefetch batch: 475 ms.
I0621 05:10:18.199885  9261 data_layer.cpp:129]      Read time: 2.011 ms.
I0621 05:10:18.199889  9261 data_layer.cpp:130] Transform time: 473.162 ms.
I0621 05:10:18.628198  9255 caffe.cpp:313] Batch 55, accuracy = 1
I0621 05:10:18.628324  9255 caffe.cpp:313] Batch 55, loss = 0.00529078
I0621 05:10:18.691926  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:18.691948  9261 data_layer.cpp:129]      Read time: 2.008 ms.
I0621 05:10:18.691952  9261 data_layer.cpp:130] Transform time: 468.999 ms.
I0621 05:10:19.118468  9255 caffe.cpp:313] Batch 56, accuracy = 1
I0621 05:10:19.118495  9255 caffe.cpp:313] Batch 56, loss = 0.0028633
I0621 05:10:19.182781  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:19.182808  9261 data_layer.cpp:129]      Read time: 1.942 ms.
I0621 05:10:19.182813  9261 data_layer.cpp:130] Transform time: 469.443 ms.
I0621 05:10:19.612092  9255 caffe.cpp:313] Batch 57, accuracy = 1
I0621 05:10:19.612124  9255 caffe.cpp:313] Batch 57, loss = 0.00179789
I0621 05:10:19.675312  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:19.675335  9261 data_layer.cpp:129]      Read time: 1.914 ms.
I0621 05:10:19.675340  9261 data_layer.cpp:130] Transform time: 471.44 ms.
I0621 05:10:20.108211  9255 caffe.cpp:313] Batch 58, accuracy = 1
I0621 05:10:20.108240  9255 caffe.cpp:313] Batch 58, loss = 0.00612902
I0621 05:10:20.172348  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:20.172369  9261 data_layer.cpp:129]      Read time: 2.016 ms.
I0621 05:10:20.172374  9261 data_layer.cpp:130] Transform time: 475.849 ms.
I0621 05:10:20.621956  9255 caffe.cpp:313] Batch 59, accuracy = 1
I0621 05:10:20.622124  9255 caffe.cpp:313] Batch 59, loss = 0.000986689
I0621 05:10:20.689734  9261 data_layer.cpp:128] Prefetch batch: 498 ms.
I0621 05:10:20.689779  9261 data_layer.cpp:129]      Read time: 2.367 ms.
I0621 05:10:20.689785  9261 data_layer.cpp:130] Transform time: 495.437 ms.
I0621 05:10:21.130733  9255 caffe.cpp:313] Batch 60, accuracy = 1
I0621 05:10:21.130805  9255 caffe.cpp:313] Batch 60, loss = 0.0310192
I0621 05:10:21.200079  9261 data_layer.cpp:128] Prefetch batch: 492 ms.
I0621 05:10:21.200104  9261 data_layer.cpp:129]      Read time: 2.423 ms.
I0621 05:10:21.200110  9261 data_layer.cpp:130] Transform time: 488.838 ms.
I0621 05:10:21.630143  9255 caffe.cpp:313] Batch 61, accuracy = 1
I0621 05:10:21.630219  9255 caffe.cpp:313] Batch 61, loss = 0.0151602
I0621 05:10:21.698102  9261 data_layer.cpp:128] Prefetch batch: 479 ms.
I0621 05:10:21.698127  9261 data_layer.cpp:129]      Read time: 2.354 ms.
I0621 05:10:21.698132  9261 data_layer.cpp:130] Transform time: 476.657 ms.
I0621 05:10:22.128907  9255 caffe.cpp:313] Batch 62, accuracy = 1
I0621 05:10:22.128937  9255 caffe.cpp:313] Batch 62, loss = 0.000581679
I0621 05:10:22.191830  9261 data_layer.cpp:128] Prefetch batch: 475 ms.
I0621 05:10:22.191854  9261 data_layer.cpp:129]      Read time: 2.013 ms.
I0621 05:10:22.191859  9261 data_layer.cpp:130] Transform time: 472.912 ms.
I0621 05:10:22.642824  9255 caffe.cpp:313] Batch 63, accuracy = 1
I0621 05:10:22.642854  9255 caffe.cpp:313] Batch 63, loss = 0.00153125
I0621 05:10:22.707995  9261 data_layer.cpp:128] Prefetch batch: 497 ms.
I0621 05:10:22.708017  9261 data_layer.cpp:129]      Read time: 2.095 ms.
I0621 05:10:22.708021  9261 data_layer.cpp:130] Transform time: 494.877 ms.
I0621 05:10:23.142137  9255 caffe.cpp:313] Batch 64, accuracy = 1
I0621 05:10:23.142215  9255 caffe.cpp:313] Batch 64, loss = 0.000610845
I0621 05:10:23.205780  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:23.205806  9261 data_layer.cpp:129]      Read time: 1.971 ms.
I0621 05:10:23.205811  9261 data_layer.cpp:130] Transform time: 476.364 ms.
I0621 05:10:23.644893  9255 caffe.cpp:313] Batch 65, accuracy = 0.98
I0621 05:10:23.644925  9255 caffe.cpp:313] Batch 65, loss = 0.0899159
I0621 05:10:23.708767  9261 data_layer.cpp:128] Prefetch batch: 484 ms.
I0621 05:10:23.708791  9261 data_layer.cpp:129]      Read time: 2.021 ms.
I0621 05:10:23.708796  9261 data_layer.cpp:130] Transform time: 481.895 ms.
I0621 05:10:24.139601  9255 caffe.cpp:313] Batch 66, accuracy = 1
I0621 05:10:24.139662  9255 caffe.cpp:313] Batch 66, loss = 0.00131957
I0621 05:10:24.205041  9261 data_layer.cpp:128] Prefetch batch: 477 ms.
I0621 05:10:24.205070  9261 data_layer.cpp:129]      Read time: 2.193 ms.
I0621 05:10:24.205135  9261 data_layer.cpp:130] Transform time: 474.764 ms.
I0621 05:10:24.638656  9255 caffe.cpp:313] Batch 67, accuracy = 1
I0621 05:10:24.638684  9255 caffe.cpp:313] Batch 67, loss = 0.000986941
I0621 05:10:24.702548  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:24.702574  9261 data_layer.cpp:129]      Read time: 1.949 ms.
I0621 05:10:24.702579  9261 data_layer.cpp:130] Transform time: 476.4 ms.
I0621 05:10:25.127079  9255 caffe.cpp:313] Batch 68, accuracy = 1
I0621 05:10:25.127106  9255 caffe.cpp:313] Batch 68, loss = 0.0158635
I0621 05:10:25.191723  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:25.191746  9261 data_layer.cpp:129]      Read time: 1.986 ms.
I0621 05:10:25.191752  9261 data_layer.cpp:130] Transform time: 468.034 ms.
I0621 05:10:25.621855  9255 caffe.cpp:313] Batch 69, accuracy = 0.98
I0621 05:10:25.621881  9255 caffe.cpp:313] Batch 69, loss = 0.0299117
I0621 05:10:25.685972  9261 data_layer.cpp:128] Prefetch batch: 475 ms.
I0621 05:10:25.686003  9261 data_layer.cpp:129]      Read time: 2.129 ms.
I0621 05:10:25.686008  9261 data_layer.cpp:130] Transform time: 473.063 ms.
I0621 05:10:26.114552  9255 caffe.cpp:313] Batch 70, accuracy = 1
I0621 05:10:26.114580  9255 caffe.cpp:313] Batch 70, loss = 0.0109028
I0621 05:10:26.178588  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:26.178612  9261 data_layer.cpp:129]      Read time: 2.035 ms.
I0621 05:10:26.178617  9261 data_layer.cpp:130] Transform time: 471.518 ms.
I0621 05:10:26.611421  9255 caffe.cpp:313] Batch 71, accuracy = 1
I0621 05:10:26.611449  9255 caffe.cpp:313] Batch 71, loss = 0.00569288
I0621 05:10:26.676271  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:26.676302  9261 data_layer.cpp:129]      Read time: 2.092 ms.
I0621 05:10:26.676308  9261 data_layer.cpp:130] Transform time: 476.095 ms.
I0621 05:10:27.105980  9255 caffe.cpp:313] Batch 72, accuracy = 1
I0621 05:10:27.106010  9255 caffe.cpp:313] Batch 72, loss = 0.00583484
I0621 05:10:27.170265  9261 data_layer.cpp:128] Prefetch batch: 475 ms.
I0621 05:10:27.170289  9261 data_layer.cpp:129]      Read time: 2.017 ms.
I0621 05:10:27.170295  9261 data_layer.cpp:130] Transform time: 472.971 ms.
I0621 05:10:27.599230  9255 caffe.cpp:313] Batch 73, accuracy = 1
I0621 05:10:27.599257  9255 caffe.cpp:313] Batch 73, loss = 0.000460519
I0621 05:10:27.661451  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:27.661475  9261 data_layer.cpp:129]      Read time: 2.081 ms.
I0621 05:10:27.661480  9261 data_layer.cpp:130] Transform time: 469.718 ms.
I0621 05:10:28.088554  9255 caffe.cpp:313] Batch 74, accuracy = 0.96
I0621 05:10:28.088585  9255 caffe.cpp:313] Batch 74, loss = 0.134284
I0621 05:10:28.152799  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:28.152823  9261 data_layer.cpp:129]      Read time: 1.991 ms.
I0621 05:10:28.152828  9261 data_layer.cpp:130] Transform time: 470.243 ms.
I0621 05:10:28.587466  9255 caffe.cpp:313] Batch 75, accuracy = 0.98
I0621 05:10:28.587502  9255 caffe.cpp:313] Batch 75, loss = 0.126503
I0621 05:10:28.657420  9261 data_layer.cpp:128] Prefetch batch: 486 ms.
I0621 05:10:28.657444  9261 data_layer.cpp:129]      Read time: 2.324 ms.
I0621 05:10:28.657449  9261 data_layer.cpp:130] Transform time: 483.087 ms.
I0621 05:10:29.083998  9255 caffe.cpp:313] Batch 76, accuracy = 0.98
I0621 05:10:29.084029  9255 caffe.cpp:313] Batch 76, loss = 0.10534
I0621 05:10:29.146598  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:29.146623  9261 data_layer.cpp:129]      Read time: 1.98 ms.
I0621 05:10:29.146630  9261 data_layer.cpp:130] Transform time: 468.152 ms.
I0621 05:10:29.583667  9255 caffe.cpp:313] Batch 77, accuracy = 0.98
I0621 05:10:29.583698  9255 caffe.cpp:313] Batch 77, loss = 0.0298291
I0621 05:10:29.648113  9261 data_layer.cpp:128] Prefetch batch: 482 ms.
I0621 05:10:29.648138  9261 data_layer.cpp:129]      Read time: 2.006 ms.
I0621 05:10:29.648142  9261 data_layer.cpp:130] Transform time: 479.999 ms.
I0621 05:10:30.077632  9255 caffe.cpp:313] Batch 78, accuracy = 0.96
I0621 05:10:30.077694  9255 caffe.cpp:313] Batch 78, loss = 0.0592567
I0621 05:10:30.140786  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:30.140810  9261 data_layer.cpp:129]      Read time: 2.112 ms.
I0621 05:10:30.140815  9261 data_layer.cpp:130] Transform time: 471.351 ms.
I0621 05:10:30.569511  9255 caffe.cpp:313] Batch 79, accuracy = 0.98
I0621 05:10:30.569543  9255 caffe.cpp:313] Batch 79, loss = 0.0211704
I0621 05:10:30.590111  9261 data_layer.cpp:73] Restarting data prefetching from start.
I0621 05:10:30.633456  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:30.633477  9261 data_layer.cpp:129]      Read time: 1.99 ms.
I0621 05:10:30.633481  9261 data_layer.cpp:130] Transform time: 471.41 ms.
I0621 05:10:31.063040  9255 caffe.cpp:313] Batch 80, accuracy = 0.98
I0621 05:10:31.063076  9255 caffe.cpp:313] Batch 80, loss = 0.0461964
I0621 05:10:31.126842  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:31.126865  9261 data_layer.cpp:129]      Read time: 2.023 ms.
I0621 05:10:31.126869  9261 data_layer.cpp:130] Transform time: 471.88 ms.
I0621 05:10:31.555622  9255 caffe.cpp:313] Batch 81, accuracy = 1
I0621 05:10:31.555652  9255 caffe.cpp:313] Batch 81, loss = 0.00341416
I0621 05:10:31.619474  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:31.619503  9261 data_layer.cpp:129]      Read time: 2.115 ms.
I0621 05:10:31.619508  9261 data_layer.cpp:130] Transform time: 471.273 ms.
I0621 05:10:32.046608  9255 caffe.cpp:313] Batch 82, accuracy = 1
I0621 05:10:32.046638  9255 caffe.cpp:313] Batch 82, loss = 0.00356155
I0621 05:10:32.112409  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:32.112433  9261 data_layer.cpp:129]      Read time: 2.029 ms.
I0621 05:10:32.112439  9261 data_layer.cpp:130] Transform time: 471.579 ms.
I0621 05:10:32.540565  9255 caffe.cpp:313] Batch 83, accuracy = 1
I0621 05:10:32.540593  9255 caffe.cpp:313] Batch 83, loss = 0.00331591
I0621 05:10:32.603022  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:32.603049  9261 data_layer.cpp:129]      Read time: 2.006 ms.
I0621 05:10:32.603055  9261 data_layer.cpp:130] Transform time: 469.155 ms.
I0621 05:10:33.028343  9255 caffe.cpp:313] Batch 84, accuracy = 1
I0621 05:10:33.028381  9255 caffe.cpp:313] Batch 84, loss = 0.00615345
I0621 05:10:33.092502  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:33.092542  9261 data_layer.cpp:129]      Read time: 2.079 ms.
I0621 05:10:33.092547  9261 data_layer.cpp:130] Transform time: 468.173 ms.
I0621 05:10:33.518517  9255 caffe.cpp:313] Batch 85, accuracy = 1
I0621 05:10:33.518544  9255 caffe.cpp:313] Batch 85, loss = 0.00145095
I0621 05:10:33.582267  9261 data_layer.cpp:128] Prefetch batch: 470 ms.
I0621 05:10:33.582291  9261 data_layer.cpp:129]      Read time: 2.115 ms.
I0621 05:10:33.582298  9261 data_layer.cpp:130] Transform time: 468.324 ms.
I0621 05:10:34.011322  9255 caffe.cpp:313] Batch 86, accuracy = 1
I0621 05:10:34.011353  9255 caffe.cpp:313] Batch 86, loss = 0.0140347
I0621 05:10:34.075978  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:34.076002  9261 data_layer.cpp:129]      Read time: 2.104 ms.
I0621 05:10:34.076007  9261 data_layer.cpp:130] Transform time: 472.075 ms.
I0621 05:10:34.501047  9255 caffe.cpp:313] Batch 87, accuracy = 1
I0621 05:10:34.501076  9255 caffe.cpp:313] Batch 87, loss = 0.0181554
I0621 05:10:34.567296  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:34.567322  9261 data_layer.cpp:129]      Read time: 2.001 ms.
I0621 05:10:34.567327  9261 data_layer.cpp:130] Transform time: 470.148 ms.
I0621 05:10:34.992429  9255 caffe.cpp:313] Batch 88, accuracy = 1
I0621 05:10:34.992458  9255 caffe.cpp:313] Batch 88, loss = 0.0148255
I0621 05:10:35.057134  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:35.057158  9261 data_layer.cpp:129]      Read time: 2.067 ms.
I0621 05:10:35.057164  9261 data_layer.cpp:130] Transform time: 468.57 ms.
I0621 05:10:35.484920  9255 caffe.cpp:313] Batch 89, accuracy = 1
I0621 05:10:35.484977  9255 caffe.cpp:313] Batch 89, loss = 0.000857536
I0621 05:10:35.548723  9261 data_layer.cpp:128] Prefetch batch: 472 ms.
I0621 05:10:35.548764  9261 data_layer.cpp:129]      Read time: 2.073 ms.
I0621 05:10:35.548770  9261 data_layer.cpp:130] Transform time: 470.211 ms.
I0621 05:10:35.979413  9255 caffe.cpp:313] Batch 90, accuracy = 1
I0621 05:10:35.979439  9255 caffe.cpp:313] Batch 90, loss = 0.00139223
I0621 05:10:36.042747  9261 data_layer.cpp:128] Prefetch batch: 475 ms.
I0621 05:10:36.042773  9261 data_layer.cpp:129]      Read time: 2.053 ms.
I0621 05:10:36.042778  9261 data_layer.cpp:130] Transform time: 472.687 ms.
I0621 05:10:36.471578  9255 caffe.cpp:313] Batch 91, accuracy = 1
I0621 05:10:36.471607  9255 caffe.cpp:313] Batch 91, loss = 0.000793095
I0621 05:10:36.540040  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:36.540066  9261 data_layer.cpp:129]      Read time: 2.139 ms.
I0621 05:10:36.540071  9261 data_layer.cpp:130] Transform time: 475.973 ms.
I0621 05:10:36.972373  9255 caffe.cpp:313] Batch 92, accuracy = 0.98
I0621 05:10:36.972404  9255 caffe.cpp:313] Batch 92, loss = 0.0895017
I0621 05:10:37.036841  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:37.036867  9261 data_layer.cpp:129]      Read time: 2.029 ms.
I0621 05:10:37.036872  9261 data_layer.cpp:130] Transform time: 475.585 ms.
I0621 05:10:37.463913  9255 caffe.cpp:313] Batch 93, accuracy = 1
I0621 05:10:37.463943  9255 caffe.cpp:313] Batch 93, loss = 0.00138137
I0621 05:10:37.546959  9261 data_layer.cpp:128] Prefetch batch: 491 ms.
I0621 05:10:37.546985  9261 data_layer.cpp:129]      Read time: 2.335 ms.
I0621 05:10:37.546991  9261 data_layer.cpp:130] Transform time: 488.5 ms.
I0621 05:10:37.975695  9255 caffe.cpp:313] Batch 94, accuracy = 1
I0621 05:10:37.975723  9255 caffe.cpp:313] Batch 94, loss = 0.00149138
I0621 05:10:38.039269  9261 data_layer.cpp:128] Prefetch batch: 473 ms.
I0621 05:10:38.039295  9261 data_layer.cpp:129]      Read time: 1.815 ms.
I0621 05:10:38.039301  9261 data_layer.cpp:130] Transform time: 471.355 ms.
I0621 05:10:38.466117  9255 caffe.cpp:313] Batch 95, accuracy = 1
I0621 05:10:38.466197  9255 caffe.cpp:313] Batch 95, loss = 0.0153391
I0621 05:10:38.539139  9261 data_layer.cpp:128] Prefetch batch: 481 ms.
I0621 05:10:38.539170  9261 data_layer.cpp:129]      Read time: 2.227 ms.
I0621 05:10:38.539176  9261 data_layer.cpp:130] Transform time: 478.121 ms.
I0621 05:10:38.972512  9255 caffe.cpp:313] Batch 96, accuracy = 0.98
I0621 05:10:38.972543  9255 caffe.cpp:313] Batch 96, loss = 0.0301299
I0621 05:10:39.036533  9261 data_layer.cpp:128] Prefetch batch: 478 ms.
I0621 05:10:39.036556  9261 data_layer.cpp:129]      Read time: 1.989 ms.
I0621 05:10:39.036561  9261 data_layer.cpp:130] Transform time: 476.203 ms.
I0621 05:10:39.463707  9255 caffe.cpp:313] Batch 97, accuracy = 1
I0621 05:10:39.463737  9255 caffe.cpp:313] Batch 97, loss = 0.0109073
I0621 05:10:39.532269  9261 data_layer.cpp:128] Prefetch batch: 477 ms.
I0621 05:10:39.532336  9261 data_layer.cpp:129]      Read time: 2.172 ms.
I0621 05:10:39.532343  9261 data_layer.cpp:130] Transform time: 474.381 ms.
I0621 05:10:39.960021  9255 caffe.cpp:313] Batch 98, accuracy = 1
I0621 05:10:39.960049  9255 caffe.cpp:313] Batch 98, loss = 0.00709413
I0621 05:10:40.022655  9261 data_layer.cpp:128] Prefetch batch: 471 ms.
I0621 05:10:40.022678  9261 data_layer.cpp:129]      Read time: 2.044 ms.
I0621 05:10:40.022682  9261 data_layer.cpp:130] Transform time: 469.16 ms.
I0621 05:10:40.449362  9255 caffe.cpp:313] Batch 99, accuracy = 1
I0621 05:10:40.449389  9255 caffe.cpp:313] Batch 99, loss = 0.00436931
I0621 05:10:40.449398  9255 caffe.cpp:318] Loss: 0.0248335
I0621 05:10:40.449412  9255 caffe.cpp:330] accuracy = 0.993
I0621 05:10:40.449427  9255 caffe.cpp:330] loss = 0.0248335 (* 1 = 0.0248335 loss)
I0621 05:10:40.515966  9261 data_layer.cpp:128] Prefetch batch: 474 ms.
I0621 05:10:40.515991  9261 data_layer.cpp:129]      Read time: 2.426 ms.
I0621 05:10:40.515995  9261 data_layer.cpp:130] Transform time: 471.442 ms.