I0506 01:01:54.124902  7983 caffe.cpp:113] Use GPU with device ID 0
I0506 01:01:54.296818  7983 caffe.cpp:121] Starting Optimization
I0506 01:01:54.296908  7983 solver.cpp:32] Initializing solver from parameters: 
test_iter: 135
test_interval: 1000
base_lr: 0.01
display: 100
max_iter: 2400000
lr_policy: "poly"
power: 0.5
momentum: 0.9
weight_decay: 0.0002
snapshot: 5000
snapshot_prefix: "models/bvlc_googlenet/ADS_googlenet_quick"
solver_mode: GPU
net: "models/bvlc_googlenet/train_val.prototxt"
test_initialization: false
average_loss: 40
I0506 01:01:54.297003  7983 solver.cpp:70] Creating training net from net file: models/bvlc_googlenet/train_val.prototxt
I0506 01:01:54.300971  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer data
I0506 01:01:54.301028  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss1/top-1
I0506 01:01:54.301036  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss1/top-2
I0506 01:01:54.301071  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss2/top-1
I0506 01:01:54.301079  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss2/top-2
I0506 01:01:54.301112  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss3/top-1
I0506 01:01:54.301118  7983 net.cpp:257] The NetState phase (0) differed from the phase (1) specified by a rule in layer loss3/top-2
I0506 01:01:54.302217  7983 net.cpp:42] Initializing net from parameters: 
name: "GoogleNet"
state {
  phase: TRAIN
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TRAIN
  }
  transform_param {
    mirror: true
    crop_size: 224
    mean_file: "models/bvlc_googlenet/ADS64Aug_mean.binaryproto"
  }
  data_param {
    source: "models/bvlc_googlenet/ADS64_train_lmdb"
    batch_size: 32
    backend: LMDB
  }
}
layer {
  name: "conv1/7x7_s2"
  type: "Convolution"
  bottom: "data"
  top: "conv1/7x7_s2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 3
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv1/relu_7x7"
  type: "ReLU"
  bottom: "conv1/7x7_s2"
  top: "conv1/7x7_s2"
}
layer {
  name: "pool1/3x3_s2"
  type: "Pooling"
  bottom: "conv1/7x7_s2"
  top: "pool1/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "pool1/norm1"
  type: "LRN"
  bottom: "pool1/3x3_s2"
  top: "pool1/norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2/3x3_reduce"
  type: "Convolution"
  bottom: "pool1/norm1"
  top: "conv2/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv2/relu_3x3_reduce"
  type: "ReLU"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3_reduce"
}
layer {
  name: "conv2/3x3"
  type: "Convolution"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv2/relu_3x3"
  type: "ReLU"
  bottom: "conv2/3x3"
  top: "conv2/3x3"
}
layer {
  name: "conv2/norm2"
  type: "LRN"
  bottom: "conv2/3x3"
  top: "conv2/norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "pool2/3x3_s2"
  type: "Pooling"
  bottom: "conv2/norm2"
  top: "pool2/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3a/1x1"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_1x1"
  type: "ReLU"
  bottom: "inception_3a/1x1"
  top: "inception_3a/1x1"
}
layer {
  name: "inception_3a/3x3_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3_reduce"
}
layer {
  name: "inception_3a/3x3"
  type: "Convolution"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_3x3"
  type: "ReLU"
  bottom: "inception_3a/3x3"
  top: "inception_3a/3x3"
}
layer {
  name: "inception_3a/5x5_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_3a/5x5_reduce"
  top: "inception_3a/5x5_reduce"
}
layer {
  name: "inception_3a/5x5"
  type: "Convolution"
  bottom: "inception_3a/5x5_reduce"
  top: "inception_3a/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_5x5"
  type: "ReLU"
  bottom: "inception_3a/5x5"
  top: "inception_3a/5x5"
}
layer {
  name: "inception_3a/pool"
  type: "Pooling"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3a/pool_proj"
  type: "Convolution"
  bottom: "inception_3a/pool"
  top: "inception_3a/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/pool_proj"
}
layer {
  name: "inception_3a/output"
  type: "Concat"
  bottom: "inception_3a/1x1"
  bottom: "inception_3a/3x3"
  bottom: "inception_3a/5x5"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/output"
}
layer {
  name: "inception_3b/1x1"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_1x1"
  type: "ReLU"
  bottom: "inception_3b/1x1"
  top: "inception_3b/1x1"
}
layer {
  name: "inception_3b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3_reduce"
}
layer {
  name: "inception_3b/3x3"
  type: "Convolution"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_3x3"
  type: "ReLU"
  bottom: "inception_3b/3x3"
  top: "inception_3b/3x3"
}
layer {
  name: "inception_3b/5x5_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_3b/5x5_reduce"
  top: "inception_3b/5x5_reduce"
}
layer {
  name: "inception_3b/5x5"
  type: "Convolution"
  bottom: "inception_3b/5x5_reduce"
  top: "inception_3b/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_5x5"
  type: "ReLU"
  bottom: "inception_3b/5x5"
  top: "inception_3b/5x5"
}
layer {
  name: "inception_3b/pool"
  type: "Pooling"
  bottom: "inception_3a/output"
  top: "inception_3b/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3b/pool_proj"
  type: "Convolution"
  bottom: "inception_3b/pool"
  top: "inception_3b/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/pool_proj"
}
layer {
  name: "inception_3b/output"
  type: "Concat"
  bottom: "inception_3b/1x1"
  bottom: "inception_3b/3x3"
  bottom: "inception_3b/5x5"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/output"
}
layer {
  name: "pool3/3x3_s2"
  type: "Pooling"
  bottom: "inception_3b/output"
  top: "pool3/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_4a/1x1"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_1x1"
  type: "ReLU"
  bottom: "inception_4a/1x1"
  top: "inception_4a/1x1"
}
layer {
  name: "inception_4a/3x3_reduce"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3_reduce"
}
layer {
  name: "inception_4a/3x3"
  type: "Convolution"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 208
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_3x3"
  type: "ReLU"
  bottom: "inception_4a/3x3"
  top: "inception_4a/3x3"
}
layer {
  name: "inception_4a/5x5_reduce"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4a/5x5_reduce"
  top: "inception_4a/5x5_reduce"
}
layer {
  name: "inception_4a/5x5"
  type: "Convolution"
  bottom: "inception_4a/5x5_reduce"
  top: "inception_4a/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 48
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_5x5"
  type: "ReLU"
  bottom: "inception_4a/5x5"
  top: "inception_4a/5x5"
}
layer {
  name: "inception_4a/pool"
  type: "Pooling"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4a/pool_proj"
  type: "Convolution"
  bottom: "inception_4a/pool"
  top: "inception_4a/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/pool_proj"
}
layer {
  name: "inception_4a/output"
  type: "Concat"
  bottom: "inception_4a/1x1"
  bottom: "inception_4a/3x3"
  bottom: "inception_4a/5x5"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/output"
}
layer {
  name: "loss1/ave_pool"
  type: "Pooling"
  bottom: "inception_4a/output"
  top: "loss1/ave_pool"
  pooling_param {
    pool: AVE
    kernel_size: 5
    stride: 3
  }
}
layer {
  name: "loss1/conv"
  type: "Convolution"
  bottom: "loss1/ave_pool"
  top: "loss1/conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.08
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss1/relu_conv"
  type: "ReLU"
  bottom: "loss1/conv"
  top: "loss1/conv"
}
layer {
  name: "loss1/fc"
  type: "InnerProduct"
  bottom: "loss1/conv"
  top: "loss1/fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1024
    weight_filler {
      type: "xavier"
      std: 0.02
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss1/relu_fc"
  type: "ReLU"
  bottom: "loss1/fc"
  top: "loss1/fc"
}
layer {
  name: "loss1/drop_fc"
  type: "Dropout"
  bottom: "loss1/fc"
  top: "loss1/fc"
  dropout_param {
    dropout_ratio: 0.7
  }
}
layer {
  name: "loss1/classifier"
  type: "InnerProduct"
  bottom: "loss1/fc"
  top: "loss1/classifier"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 6
    weight_filler {
      type: "xavier"
      std: 0.0009765625
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss1/loss"
  type: "SoftmaxWithLoss"
  bottom: "loss1/classifier"
  bottom: "label"
  top: "loss1/loss1"
  loss_weight: 0.3
}
layer {
  name: "inception_4b/1x1"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 160
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_1x1"
  type: "ReLU"
  bottom: "inception_4b/1x1"
  top: "inception_4b/1x1"
}
layer {
  name: "inception_4b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 112
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3_reduce"
}
layer {
  name: "inception_4b/3x3"
  type: "Convolution"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 224
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_3x3"
  type: "ReLU"
  bottom: "inception_4b/3x3"
  top: "inception_4b/3x3"
}
layer {
  name: "inception_4b/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 24
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4b/5x5_reduce"
  top: "inception_4b/5x5_reduce"
}
layer {
  name: "inception_4b/5x5"
  type: "Convolution"
  bottom: "inception_4b/5x5_reduce"
  top: "inception_4b/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_5x5"
  type: "ReLU"
  bottom: "inception_4b/5x5"
  top: "inception_4b/5x5"
}
layer {
  name: "inception_4b/pool"
  type: "Pooling"
  bottom: "inception_4a/output"
  top: "inception_4b/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4b/pool_proj"
  type: "Convolution"
  bottom: "inception_4b/pool"
  top: "inception_4b/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/pool_proj"
}
layer {
  name: "inception_4b/output"
  type: "Concat"
  bottom: "inception_4b/1x1"
  bottom: "inception_4b/3x3"
  bottom: "inception_4b/5x5"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/output"
}
layer {
  name: "inception_4c/1x1"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_1x1"
  type: "ReLU"
  bottom: "inception_4c/1x1"
  top: "inception_4c/1x1"
}
layer {
  name: "inception_4c/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3_reduce"
}
layer {
  name: "inception_4c/3x3"
  type: "Convolution"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_3x3"
  type: "ReLU"
  bottom: "inception_4c/3x3"
  top: "inception_4c/3x3"
}
layer {
  name: "inception_4c/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 24
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4c/5x5_reduce"
  top: "inception_4c/5x5_reduce"
}
layer {
  name: "inception_4c/5x5"
  type: "Convolution"
  bottom: "inception_4c/5x5_reduce"
  top: "inception_4c/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_5x5"
  type: "ReLU"
  bottom: "inception_4c/5x5"
  top: "inception_4c/5x5"
}
layer {
  name: "inception_4c/pool"
  type: "Pooling"
  bottom: "inception_4b/output"
  top: "inception_4c/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4c/pool_proj"
  type: "Convolution"
  bottom: "inception_4c/pool"
  top: "inception_4c/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/pool_proj"
}
layer {
  name: "inception_4c/output"
  type: "Concat"
  bottom: "inception_4c/1x1"
  bottom: "inception_4c/3x3"
  bottom: "inception_4c/5x5"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/output"
}
layer {
  name: "inception_4d/1x1"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 112
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_1x1"
  type: "ReLU"
  bottom: "inception_4d/1x1"
  top: "inception_4d/1x1"
}
layer {
  name: "inception_4d/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 144
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3_reduce"
}
layer {
  name: "inception_4d/3x3"
  type: "Convolution"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 288
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_3x3"
  type: "ReLU"
  bottom: "inception_4d/3x3"
  top: "inception_4d/3x3"
}
layer {
  name: "inception_4d/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4d/5x5_reduce"
  top: "inception_4d/5x5_reduce"
}
layer {
  name: "inception_4d/5x5"
  type: "Convolution"
  bottom: "inception_4d/5x5_reduce"
  top: "inception_4d/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_5x5"
  type: "ReLU"
  bottom: "inception_4d/5x5"
  top: "inception_4d/5x5"
}
layer {
  name: "inception_4d/pool"
  type: "Pooling"
  bottom: "inception_4c/output"
  top: "inception_4d/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4d/pool_proj"
  type: "Convolution"
  bottom: "inception_4d/pool"
  top: "inception_4d/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/pool_proj"
}
layer {
  name: "inception_4d/output"
  type: "Concat"
  bottom: "inception_4d/1x1"
  bottom: "inception_4d/3x3"
  bottom: "inception_4d/5x5"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/output"
}
layer {
  name: "loss2/ave_pool"
  type: "Pooling"
  bottom: "inception_4d/output"
  top: "loss2/ave_pool"
  pooling_param {
    pool: AVE
    kernel_size: 5
    stride: 3
  }
}
layer {
  name: "loss2/conv"
  type: "Convolution"
  bottom: "loss2/ave_pool"
  top: "loss2/conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.08
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss2/relu_conv"
  type: "ReLU"
  bottom: "loss2/conv"
  top: "loss2/conv"
}
layer {
  name: "loss2/fc"
  type: "InnerProduct"
  bottom: "loss2/conv"
  top: "loss2/fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1024
    weight_filler {
      type: "xavier"
      std: 0.02
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss2/relu_fc"
  type: "ReLU"
  bottom: "loss2/fc"
  top: "loss2/fc"
}
layer {
  name: "loss2/drop_fc"
  type: "Dropout"
  bottom: "loss2/fc"
  top: "loss2/fc"
  dropout_param {
    dropout_ratio: 0.7
  }
}
layer {
  name: "loss2/classifier"
  type: "InnerProduct"
  bottom: "loss2/fc"
  top: "loss2/classifier"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 6
    weight_filler {
      type: "xavier"
      std: 0.0009765625
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss2/loss"
  type: "SoftmaxWithLoss"
  bottom: "loss2/classifier"
  bottom: "label"
  top: "loss2/loss1"
  loss_weight: 0.3
}
layer {
  name: "inception_4e/1x1"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_1x1"
  type: "ReLU"
  bottom: "inception_4e/1x1"
  top: "inception_4e/1x1"
}
layer {
  name: "inception_4e/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 160
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3_reduce"
}
layer {
  name: "inception_4e/3x3"
  type: "Convolution"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 320
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_3x3"
  type: "ReLU"
  bottom: "inception_4e/3x3"
  top: "inception_4e/3x3"
}
layer {
  name: "inception_4e/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_5x5_r
I0506 01:01:54.302949  7983 layer_factory.hpp:74] Creating layer data
I0506 01:01:54.302976  7983 net.cpp:84] Creating Layer data
I0506 01:01:54.302985  7983 net.cpp:338] data -> data
I0506 01:01:54.303009  7983 net.cpp:338] data -> label
I0506 01:01:54.303021  7983 net.cpp:113] Setting up data
I0506 01:01:54.303092  7983 db.cpp:34] Opened lmdb models/bvlc_googlenet/ADS64_train_lmdb
I0506 01:01:54.303248  7983 data_layer.cpp:67] output data size: 32,3,224,224
I0506 01:01:54.303264  7983 data_transformer.cpp:22] Loading mean file from: models/bvlc_googlenet/ADS64Aug_mean.binaryproto
I0506 01:01:54.307796  7983 net.cpp:120] Top shape: 32 3 224 224 (4816896)
I0506 01:01:54.307821  7983 net.cpp:120] Top shape: 32 (32)
I0506 01:01:54.307832  7983 layer_factory.hpp:74] Creating layer label_data_1_split
I0506 01:01:54.307845  7983 net.cpp:84] Creating Layer label_data_1_split
I0506 01:01:54.307852  7983 net.cpp:380] label_data_1_split <- label
I0506 01:01:54.307865  7983 net.cpp:338] label_data_1_split -> label_data_1_split_0
I0506 01:01:54.307878  7983 net.cpp:338] label_data_1_split -> label_data_1_split_1
I0506 01:01:54.307914  7983 net.cpp:338] label_data_1_split -> label_data_1_split_2
I0506 01:01:54.307924  7983 net.cpp:113] Setting up label_data_1_split
I0506 01:01:54.307940  7983 net.cpp:120] Top shape: 32 (32)
I0506 01:01:54.307945  7983 net.cpp:120] Top shape: 32 (32)
I0506 01:01:54.307951  7983 net.cpp:120] Top shape: 32 (32)
I0506 01:01:54.307957  7983 layer_factory.hpp:74] Creating layer conv1/7x7_s2
I0506 01:01:54.307971  7983 net.cpp:84] Creating Layer conv1/7x7_s2
I0506 01:01:54.307975  7983 net.cpp:380] conv1/7x7_s2 <- data
I0506 01:01:54.307981  7983 net.cpp:338] conv1/7x7_s2 -> conv1/7x7_s2
I0506 01:01:54.307992  7983 net.cpp:113] Setting up conv1/7x7_s2
I0506 01:01:54.308107  7983 net.cpp:120] Top shape: 32 64 112 112 (25690112)
I0506 01:01:54.308122  7983 layer_factory.hpp:74] Creating layer conv1/relu_7x7
I0506 01:01:54.308131  7983 net.cpp:84] Creating Layer conv1/relu_7x7
I0506 01:01:54.308135  7983 net.cpp:380] conv1/relu_7x7 <- conv1/7x7_s2
I0506 01:01:54.308143  7983 net.cpp:327] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I0506 01:01:54.308151  7983 net.cpp:113] Setting up conv1/relu_7x7
I0506 01:01:54.308157  7983 net.cpp:120] Top shape: 32 64 112 112 (25690112)
I0506 01:01:54.308162  7983 layer_factory.hpp:74] Creating layer pool1/3x3_s2
I0506 01:01:54.308171  7983 net.cpp:84] Creating Layer pool1/3x3_s2
I0506 01:01:54.308176  7983 net.cpp:380] pool1/3x3_s2 <- conv1/7x7_s2
I0506 01:01:54.308182  7983 net.cpp:338] pool1/3x3_s2 -> pool1/3x3_s2
I0506 01:01:54.308190  7983 net.cpp:113] Setting up pool1/3x3_s2
I0506 01:01:54.308207  7983 net.cpp:120] Top shape: 32 64 56 56 (6422528)
I0506 01:01:54.308212  7983 layer_factory.hpp:74] Creating layer pool1/norm1
I0506 01:01:54.308223  7983 net.cpp:84] Creating Layer pool1/norm1
I0506 01:01:54.308229  7983 net.cpp:380] pool1/norm1 <- pool1/3x3_s2
I0506 01:01:54.308236  7983 net.cpp:338] pool1/norm1 -> pool1/norm1
I0506 01:01:54.308245  7983 net.cpp:113] Setting up pool1/norm1
I0506 01:01:54.308254  7983 net.cpp:120] Top shape: 32 64 56 56 (6422528)
I0506 01:01:54.308260  7983 layer_factory.hpp:74] Creating layer conv2/3x3_reduce
I0506 01:01:54.308269  7983 net.cpp:84] Creating Layer conv2/3x3_reduce
I0506 01:01:54.308274  7983 net.cpp:380] conv2/3x3_reduce <- pool1/norm1
I0506 01:01:54.308280  7983 net.cpp:338] conv2/3x3_reduce -> conv2/3x3_reduce
I0506 01:01:54.308290  7983 net.cpp:113] Setting up conv2/3x3_reduce
I0506 01:01:54.308336  7983 net.cpp:120] Top shape: 32 64 56 56 (6422528)
I0506 01:01:54.308346  7983 layer_factory.hpp:74] Creating layer conv2/relu_3x3_reduce
I0506 01:01:54.308353  7983 net.cpp:84] Creating Layer conv2/relu_3x3_reduce
I0506 01:01:54.308357  7983 net.cpp:380] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I0506 01:01:54.308364  7983 net.cpp:327] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I0506 01:01:54.308372  7983 net.cpp:113] Setting up conv2/relu_3x3_reduce
I0506 01:01:54.308377  7983 net.cpp:120] Top shape: 32 64 56 56 (6422528)
I0506 01:01:54.308383  7983 layer_factory.hpp:74] Creating layer conv2/3x3
I0506 01:01:54.308393  7983 net.cpp:84] Creating Layer conv2/3x3
I0506 01:01:54.308398  7983 net.cpp:380] conv2/3x3 <- conv2/3x3_reduce
I0506 01:01:54.308404  7983 net.cpp:338] conv2/3x3 -> conv2/3x3
I0506 01:01:54.308413  7983 net.cpp:113] Setting up conv2/3x3
I0506 01:01:54.309217  7983 net.cpp:120] Top shape: 32 192 56 56 (19267584)
I0506 01:01:54.309231  7983 layer_factory.hpp:74] Creating layer conv2/relu_3x3
I0506 01:01:54.309237  7983 net.cpp:84] Creating Layer conv2/relu_3x3
I0506 01:01:54.309240  7983 net.cpp:380] conv2/relu_3x3 <- conv2/3x3
I0506 01:01:54.309247  7983 net.cpp:327] conv2/relu_3x3 -> conv2/3x3 (in-place)
I0506 01:01:54.309252  7983 net.cpp:113] Setting up conv2/relu_3x3
I0506 01:01:54.309258  7983 net.cpp:120] Top shape: 32 192 56 56 (19267584)
I0506 01:01:54.309262  7983 layer_factory.hpp:74] Creating layer conv2/norm2
I0506 01:01:54.309268  7983 net.cpp:84] Creating Layer conv2/norm2
I0506 01:01:54.309273  7983 net.cpp:380] conv2/norm2 <- conv2/3x3
I0506 01:01:54.309278  7983 net.cpp:338] conv2/norm2 -> conv2/norm2
I0506 01:01:54.309284  7983 net.cpp:113] Setting up conv2/norm2
I0506 01:01:54.309290  7983 net.cpp:120] Top shape: 32 192 56 56 (19267584)
I0506 01:01:54.309294  7983 layer_factory.hpp:74] Creating layer pool2/3x3_s2
I0506 01:01:54.309301  7983 net.cpp:84] Creating Layer pool2/3x3_s2
I0506 01:01:54.309305  7983 net.cpp:380] pool2/3x3_s2 <- conv2/norm2
I0506 01:01:54.309310  7983 net.cpp:338] pool2/3x3_s2 -> pool2/3x3_s2
I0506 01:01:54.309316  7983 net.cpp:113] Setting up pool2/3x3_s2
I0506 01:01:54.309324  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.309329  7983 layer_factory.hpp:74] Creating layer pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.309334  7983 net.cpp:84] Creating Layer pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.309339  7983 net.cpp:380] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I0506 01:01:54.309345  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0506 01:01:54.309351  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0506 01:01:54.309358  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0506 01:01:54.309365  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0506 01:01:54.309371  7983 net.cpp:113] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.309379  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.309384  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.309389  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.309394  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.309398  7983 layer_factory.hpp:74] Creating layer inception_3a/1x1
I0506 01:01:54.309406  7983 net.cpp:84] Creating Layer inception_3a/1x1
I0506 01:01:54.309411  7983 net.cpp:380] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0506 01:01:54.309417  7983 net.cpp:338] inception_3a/1x1 -> inception_3a/1x1
I0506 01:01:54.309425  7983 net.cpp:113] Setting up inception_3a/1x1
I0506 01:01:54.309525  7983 net.cpp:120] Top shape: 32 64 28 28 (1605632)
I0506 01:01:54.309531  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_1x1
I0506 01:01:54.309537  7983 net.cpp:84] Creating Layer inception_3a/relu_1x1
I0506 01:01:54.309541  7983 net.cpp:380] inception_3a/relu_1x1 <- inception_3a/1x1
I0506 01:01:54.309547  7983 net.cpp:327] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I0506 01:01:54.309552  7983 net.cpp:113] Setting up inception_3a/relu_1x1
I0506 01:01:54.309558  7983 net.cpp:120] Top shape: 32 64 28 28 (1605632)
I0506 01:01:54.309562  7983 layer_factory.hpp:74] Creating layer inception_3a/3x3_reduce
I0506 01:01:54.309569  7983 net.cpp:84] Creating Layer inception_3a/3x3_reduce
I0506 01:01:54.309573  7983 net.cpp:380] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0506 01:01:54.309579  7983 net.cpp:338] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I0506 01:01:54.309587  7983 net.cpp:113] Setting up inception_3a/3x3_reduce
I0506 01:01:54.309728  7983 net.cpp:120] Top shape: 32 96 28 28 (2408448)
I0506 01:01:54.309737  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_3x3_reduce
I0506 01:01:54.309746  7983 net.cpp:84] Creating Layer inception_3a/relu_3x3_reduce
I0506 01:01:54.309751  7983 net.cpp:380] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I0506 01:01:54.309955  7983 net.cpp:327] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I0506 01:01:54.309964  7983 net.cpp:113] Setting up inception_3a/relu_3x3_reduce
I0506 01:01:54.309972  7983 net.cpp:120] Top shape: 32 96 28 28 (2408448)
I0506 01:01:54.309978  7983 layer_factory.hpp:74] Creating layer inception_3a/3x3
I0506 01:01:54.309988  7983 net.cpp:84] Creating Layer inception_3a/3x3
I0506 01:01:54.309994  7983 net.cpp:380] inception_3a/3x3 <- inception_3a/3x3_reduce
I0506 01:01:54.310001  7983 net.cpp:338] inception_3a/3x3 -> inception_3a/3x3
I0506 01:01:54.310009  7983 net.cpp:113] Setting up inception_3a/3x3
I0506 01:01:54.310847  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.310859  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_3x3
I0506 01:01:54.310866  7983 net.cpp:84] Creating Layer inception_3a/relu_3x3
I0506 01:01:54.310870  7983 net.cpp:380] inception_3a/relu_3x3 <- inception_3a/3x3
I0506 01:01:54.310878  7983 net.cpp:327] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I0506 01:01:54.310884  7983 net.cpp:113] Setting up inception_3a/relu_3x3
I0506 01:01:54.310890  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.310894  7983 layer_factory.hpp:74] Creating layer inception_3a/5x5_reduce
I0506 01:01:54.310901  7983 net.cpp:84] Creating Layer inception_3a/5x5_reduce
I0506 01:01:54.310905  7983 net.cpp:380] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0506 01:01:54.310940  7983 net.cpp:338] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I0506 01:01:54.310951  7983 net.cpp:113] Setting up inception_3a/5x5_reduce
I0506 01:01:54.310995  7983 net.cpp:120] Top shape: 32 16 28 28 (401408)
I0506 01:01:54.311004  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_5x5_reduce
I0506 01:01:54.311028  7983 net.cpp:84] Creating Layer inception_3a/relu_5x5_reduce
I0506 01:01:54.311035  7983 net.cpp:380] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I0506 01:01:54.311043  7983 net.cpp:327] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I0506 01:01:54.311048  7983 net.cpp:113] Setting up inception_3a/relu_5x5_reduce
I0506 01:01:54.311056  7983 net.cpp:120] Top shape: 32 16 28 28 (401408)
I0506 01:01:54.311060  7983 layer_factory.hpp:74] Creating layer inception_3a/5x5
I0506 01:01:54.311072  7983 net.cpp:84] Creating Layer inception_3a/5x5
I0506 01:01:54.311076  7983 net.cpp:380] inception_3a/5x5 <- inception_3a/5x5_reduce
I0506 01:01:54.311086  7983 net.cpp:338] inception_3a/5x5 -> inception_3a/5x5
I0506 01:01:54.311094  7983 net.cpp:113] Setting up inception_3a/5x5
I0506 01:01:54.311431  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.311444  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_5x5
I0506 01:01:54.311455  7983 net.cpp:84] Creating Layer inception_3a/relu_5x5
I0506 01:01:54.311461  7983 net.cpp:380] inception_3a/relu_5x5 <- inception_3a/5x5
I0506 01:01:54.311467  7983 net.cpp:327] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I0506 01:01:54.311473  7983 net.cpp:113] Setting up inception_3a/relu_5x5
I0506 01:01:54.311480  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.311485  7983 layer_factory.hpp:74] Creating layer inception_3a/pool
I0506 01:01:54.311494  7983 net.cpp:84] Creating Layer inception_3a/pool
I0506 01:01:54.311501  7983 net.cpp:380] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0506 01:01:54.311507  7983 net.cpp:338] inception_3a/pool -> inception_3a/pool
I0506 01:01:54.311516  7983 net.cpp:113] Setting up inception_3a/pool
I0506 01:01:54.311525  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.311530  7983 layer_factory.hpp:74] Creating layer inception_3a/pool_proj
I0506 01:01:54.311537  7983 net.cpp:84] Creating Layer inception_3a/pool_proj
I0506 01:01:54.311544  7983 net.cpp:380] inception_3a/pool_proj <- inception_3a/pool
I0506 01:01:54.311553  7983 net.cpp:338] inception_3a/pool_proj -> inception_3a/pool_proj
I0506 01:01:54.311560  7983 net.cpp:113] Setting up inception_3a/pool_proj
I0506 01:01:54.311621  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.311633  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_pool_proj
I0506 01:01:54.311640  7983 net.cpp:84] Creating Layer inception_3a/relu_pool_proj
I0506 01:01:54.311645  7983 net.cpp:380] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I0506 01:01:54.311651  7983 net.cpp:327] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I0506 01:01:54.311658  7983 net.cpp:113] Setting up inception_3a/relu_pool_proj
I0506 01:01:54.311664  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.311671  7983 layer_factory.hpp:74] Creating layer inception_3a/output
I0506 01:01:54.311681  7983 net.cpp:84] Creating Layer inception_3a/output
I0506 01:01:54.311688  7983 net.cpp:380] inception_3a/output <- inception_3a/1x1
I0506 01:01:54.311693  7983 net.cpp:380] inception_3a/output <- inception_3a/3x3
I0506 01:01:54.311699  7983 net.cpp:380] inception_3a/output <- inception_3a/5x5
I0506 01:01:54.311707  7983 net.cpp:380] inception_3a/output <- inception_3a/pool_proj
I0506 01:01:54.311712  7983 net.cpp:338] inception_3a/output -> inception_3a/output
I0506 01:01:54.311722  7983 net.cpp:113] Setting up inception_3a/output
I0506 01:01:54.311730  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.311736  7983 layer_factory.hpp:74] Creating layer inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.311744  7983 net.cpp:84] Creating Layer inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.311750  7983 net.cpp:380] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I0506 01:01:54.311758  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I0506 01:01:54.311765  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I0506 01:01:54.311775  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I0506 01:01:54.311784  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I0506 01:01:54.311790  7983 net.cpp:113] Setting up inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.311800  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.311807  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.311813  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.311820  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.311825  7983 layer_factory.hpp:74] Creating layer inception_3b/1x1
I0506 01:01:54.311830  7983 net.cpp:84] Creating Layer inception_3b/1x1
I0506 01:01:54.311836  7983 net.cpp:380] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I0506 01:01:54.311846  7983 net.cpp:338] inception_3b/1x1 -> inception_3b/1x1
I0506 01:01:54.311854  7983 net.cpp:113] Setting up inception_3b/1x1
I0506 01:01:54.312124  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.312135  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_1x1
I0506 01:01:54.312144  7983 net.cpp:84] Creating Layer inception_3b/relu_1x1
I0506 01:01:54.312150  7983 net.cpp:380] inception_3b/relu_1x1 <- inception_3b/1x1
I0506 01:01:54.312156  7983 net.cpp:327] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I0506 01:01:54.312165  7983 net.cpp:113] Setting up inception_3b/relu_1x1
I0506 01:01:54.312170  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.312175  7983 layer_factory.hpp:74] Creating layer inception_3b/3x3_reduce
I0506 01:01:54.312182  7983 net.cpp:84] Creating Layer inception_3b/3x3_reduce
I0506 01:01:54.312188  7983 net.cpp:380] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I0506 01:01:54.312196  7983 net.cpp:338] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I0506 01:01:54.312206  7983 net.cpp:113] Setting up inception_3b/3x3_reduce
I0506 01:01:54.312499  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.312510  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_3x3_reduce
I0506 01:01:54.312516  7983 net.cpp:84] Creating Layer inception_3b/relu_3x3_reduce
I0506 01:01:54.312521  7983 net.cpp:380] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I0506 01:01:54.312531  7983 net.cpp:327] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I0506 01:01:54.312537  7983 net.cpp:113] Setting up inception_3b/relu_3x3_reduce
I0506 01:01:54.312543  7983 net.cpp:120] Top shape: 32 128 28 28 (3211264)
I0506 01:01:54.312547  7983 layer_factory.hpp:74] Creating layer inception_3b/3x3
I0506 01:01:54.312557  7983 net.cpp:84] Creating Layer inception_3b/3x3
I0506 01:01:54.312564  7983 net.cpp:380] inception_3b/3x3 <- inception_3b/3x3_reduce
I0506 01:01:54.312572  7983 net.cpp:338] inception_3b/3x3 -> inception_3b/3x3
I0506 01:01:54.312580  7983 net.cpp:113] Setting up inception_3b/3x3
I0506 01:01:54.314478  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.314492  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_3x3
I0506 01:01:54.314499  7983 net.cpp:84] Creating Layer inception_3b/relu_3x3
I0506 01:01:54.314504  7983 net.cpp:380] inception_3b/relu_3x3 <- inception_3b/3x3
I0506 01:01:54.314510  7983 net.cpp:327] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I0506 01:01:54.314517  7983 net.cpp:113] Setting up inception_3b/relu_3x3
I0506 01:01:54.314522  7983 net.cpp:120] Top shape: 32 192 28 28 (4816896)
I0506 01:01:54.314527  7983 layer_factory.hpp:74] Creating layer inception_3b/5x5_reduce
I0506 01:01:54.314538  7983 net.cpp:84] Creating Layer inception_3b/5x5_reduce
I0506 01:01:54.314541  7983 net.cpp:380] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I0506 01:01:54.314558  7983 net.cpp:338] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I0506 01:01:54.314565  7983 net.cpp:113] Setting up inception_3b/5x5_reduce
I0506 01:01:54.314645  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.314654  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_5x5_reduce
I0506 01:01:54.314661  7983 net.cpp:84] Creating Layer inception_3b/relu_5x5_reduce
I0506 01:01:54.314666  7983 net.cpp:380] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I0506 01:01:54.314672  7983 net.cpp:327] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I0506 01:01:54.314678  7983 net.cpp:113] Setting up inception_3b/relu_5x5_reduce
I0506 01:01:54.314684  7983 net.cpp:120] Top shape: 32 32 28 28 (802816)
I0506 01:01:54.314688  7983 layer_factory.hpp:74] Creating layer inception_3b/5x5
I0506 01:01:54.314695  7983 net.cpp:84] Creating Layer inception_3b/5x5
I0506 01:01:54.314699  7983 net.cpp:380] inception_3b/5x5 <- inception_3b/5x5_reduce
I0506 01:01:54.314708  7983 net.cpp:338] inception_3b/5x5 -> inception_3b/5x5
I0506 01:01:54.314718  7983 net.cpp:113] Setting up inception_3b/5x5
I0506 01:01:54.315603  7983 net.cpp:120] Top shape: 32 96 28 28 (2408448)
I0506 01:01:54.315615  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_5x5
I0506 01:01:54.315621  7983 net.cpp:84] Creating Layer inception_3b/relu_5x5
I0506 01:01:54.315626  7983 net.cpp:380] inception_3b/relu_5x5 <- inception_3b/5x5
I0506 01:01:54.315632  7983 net.cpp:327] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I0506 01:01:54.315639  7983 net.cpp:113] Setting up inception_3b/relu_5x5
I0506 01:01:54.315644  7983 net.cpp:120] Top shape: 32 96 28 28 (2408448)
I0506 01:01:54.315649  7983 layer_factory.hpp:74] Creating layer inception_3b/pool
I0506 01:01:54.315654  7983 net.cpp:84] Creating Layer inception_3b/pool
I0506 01:01:54.315659  7983 net.cpp:380] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I0506 01:01:54.315665  7983 net.cpp:338] inception_3b/pool -> inception_3b/pool
I0506 01:01:54.315673  7983 net.cpp:113] Setting up inception_3b/pool
I0506 01:01:54.315682  7983 net.cpp:120] Top shape: 32 256 28 28 (6422528)
I0506 01:01:54.315687  7983 layer_factory.hpp:74] Creating layer inception_3b/pool_proj
I0506 01:01:54.315696  7983 net.cpp:84] Creating Layer inception_3b/pool_proj
I0506 01:01:54.315701  7983 net.cpp:380] inception_3b/pool_proj <- inception_3b/pool
I0506 01:01:54.315708  7983 net.cpp:338] inception_3b/pool_proj -> inception_3b/pool_proj
I0506 01:01:54.315716  7983 net.cpp:113] Setting up inception_3b/pool_proj
I0506 01:01:54.315856  7983 net.cpp:120] Top shape: 32 64 28 28 (1605632)
I0506 01:01:54.315866  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_pool_proj
I0506 01:01:54.315872  7983 net.cpp:84] Creating Layer inception_3b/relu_pool_proj
I0506 01:01:54.315876  7983 net.cpp:380] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I0506 01:01:54.315882  7983 net.cpp:327] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I0506 01:01:54.315888  7983 net.cpp:113] Setting up inception_3b/relu_pool_proj
I0506 01:01:54.315893  7983 net.cpp:120] Top shape: 32 64 28 28 (1605632)
I0506 01:01:54.315898  7983 layer_factory.hpp:74] Creating layer inception_3b/output
I0506 01:01:54.315907  7983 net.cpp:84] Creating Layer inception_3b/output
I0506 01:01:54.315912  7983 net.cpp:380] inception_3b/output <- inception_3b/1x1
I0506 01:01:54.315917  7983 net.cpp:380] inception_3b/output <- inception_3b/3x3
I0506 01:01:54.315922  7983 net.cpp:380] inception_3b/output <- inception_3b/5x5
I0506 01:01:54.315927  7983 net.cpp:380] inception_3b/output <- inception_3b/pool_proj
I0506 01:01:54.315932  7983 net.cpp:338] inception_3b/output -> inception_3b/output
I0506 01:01:54.315938  7983 net.cpp:113] Setting up inception_3b/output
I0506 01:01:54.315945  7983 net.cpp:120] Top shape: 32 480 28 28 (12042240)
I0506 01:01:54.315950  7983 layer_factory.hpp:74] Creating layer pool3/3x3_s2
I0506 01:01:54.315960  7983 net.cpp:84] Creating Layer pool3/3x3_s2
I0506 01:01:54.315966  7983 net.cpp:380] pool3/3x3_s2 <- inception_3b/output
I0506 01:01:54.315973  7983 net.cpp:338] pool3/3x3_s2 -> pool3/3x3_s2
I0506 01:01:54.315979  7983 net.cpp:113] Setting up pool3/3x3_s2
I0506 01:01:54.315987  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.315991  7983 layer_factory.hpp:74] Creating layer pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.315997  7983 net.cpp:84] Creating Layer pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.316001  7983 net.cpp:380] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I0506 01:01:54.316009  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0506 01:01:54.316016  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0506 01:01:54.316023  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0506 01:01:54.316032  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0506 01:01:54.316038  7983 net.cpp:113] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.316045  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.316051  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.316056  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.316061  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.316064  7983 layer_factory.hpp:74] Creating layer inception_4a/1x1
I0506 01:01:54.316073  7983 net.cpp:84] Creating Layer inception_4a/1x1
I0506 01:01:54.316077  7983 net.cpp:380] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0506 01:01:54.316084  7983 net.cpp:338] inception_4a/1x1 -> inception_4a/1x1
I0506 01:01:54.316092  7983 net.cpp:113] Setting up inception_4a/1x1
I0506 01:01:54.316908  7983 net.cpp:120] Top shape: 32 192 14 14 (1204224)
I0506 01:01:54.316921  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_1x1
I0506 01:01:54.316927  7983 net.cpp:84] Creating Layer inception_4a/relu_1x1
I0506 01:01:54.316932  7983 net.cpp:380] inception_4a/relu_1x1 <- inception_4a/1x1
I0506 01:01:54.316938  7983 net.cpp:327] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I0506 01:01:54.316943  7983 net.cpp:113] Setting up inception_4a/relu_1x1
I0506 01:01:54.316949  7983 net.cpp:120] Top shape: 32 192 14 14 (1204224)
I0506 01:01:54.316953  7983 layer_factory.hpp:74] Creating layer inception_4a/3x3_reduce
I0506 01:01:54.316962  7983 net.cpp:84] Creating Layer inception_4a/3x3_reduce
I0506 01:01:54.316967  7983 net.cpp:380] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0506 01:01:54.316973  7983 net.cpp:338] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I0506 01:01:54.316982  7983 net.cpp:113] Setting up inception_4a/3x3_reduce
I0506 01:01:54.317347  7983 net.cpp:120] Top shape: 32 96 14 14 (602112)
I0506 01:01:54.317363  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_3x3_reduce
I0506 01:01:54.317371  7983 net.cpp:84] Creating Layer inception_4a/relu_3x3_reduce
I0506 01:01:54.317378  7983 net.cpp:380] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I0506 01:01:54.317384  7983 net.cpp:327] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I0506 01:01:54.317389  7983 net.cpp:113] Setting up inception_4a/relu_3x3_reduce
I0506 01:01:54.317395  7983 net.cpp:120] Top shape: 32 96 14 14 (602112)
I0506 01:01:54.317399  7983 layer_factory.hpp:74] Creating layer inception_4a/3x3
I0506 01:01:54.317406  7983 net.cpp:84] Creating Layer inception_4a/3x3
I0506 01:01:54.317410  7983 net.cpp:380] inception_4a/3x3 <- inception_4a/3x3_reduce
I0506 01:01:54.317416  7983 net.cpp:338] inception_4a/3x3 -> inception_4a/3x3
I0506 01:01:54.317423  7983 net.cpp:113] Setting up inception_4a/3x3
I0506 01:01:54.318807  7983 net.cpp:120] Top shape: 32 208 14 14 (1304576)
I0506 01:01:54.318819  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_3x3
I0506 01:01:54.318826  7983 net.cpp:84] Creating Layer inception_4a/relu_3x3
I0506 01:01:54.318830  7983 net.cpp:380] inception_4a/relu_3x3 <- inception_4a/3x3
I0506 01:01:54.318836  7983 net.cpp:327] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I0506 01:01:54.318842  7983 net.cpp:113] Setting up inception_4a/relu_3x3
I0506 01:01:54.318847  7983 net.cpp:120] Top shape: 32 208 14 14 (1304576)
I0506 01:01:54.318855  7983 layer_factory.hpp:74] Creating layer inception_4a/5x5_reduce
I0506 01:01:54.318863  7983 net.cpp:84] Creating Layer inception_4a/5x5_reduce
I0506 01:01:54.318868  7983 net.cpp:380] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0506 01:01:54.318874  7983 net.cpp:338] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I0506 01:01:54.318882  7983 net.cpp:113] Setting up inception_4a/5x5_reduce
I0506 01:01:54.318958  7983 net.cpp:120] Top shape: 32 16 14 14 (100352)
I0506 01:01:54.318967  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_5x5_reduce
I0506 01:01:54.318974  7983 net.cpp:84] Creating Layer inception_4a/relu_5x5_reduce
I0506 01:01:54.318979  7983 net.cpp:380] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I0506 01:01:54.318985  7983 net.cpp:327] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I0506 01:01:54.318991  7983 net.cpp:113] Setting up inception_4a/relu_5x5_reduce
I0506 01:01:54.318997  7983 net.cpp:120] Top shape: 32 16 14 14 (100352)
I0506 01:01:54.319001  7983 layer_factory.hpp:74] Creating layer inception_4a/5x5
I0506 01:01:54.319008  7983 net.cpp:84] Creating Layer inception_4a/5x5
I0506 01:01:54.319012  7983 net.cpp:380] inception_4a/5x5 <- inception_4a/5x5_reduce
I0506 01:01:54.319020  7983 net.cpp:338] inception_4a/5x5 -> inception_4a/5x5
I0506 01:01:54.319026  7983 net.cpp:113] Setting up inception_4a/5x5
I0506 01:01:54.319188  7983 net.cpp:120] Top shape: 32 48 14 14 (301056)
I0506 01:01:54.319198  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_5x5
I0506 01:01:54.319205  7983 net.cpp:84] Creating Layer inception_4a/relu_5x5
I0506 01:01:54.319210  7983 net.cpp:380] inception_4a/relu_5x5 <- inception_4a/5x5
I0506 01:01:54.319216  7983 net.cpp:327] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I0506 01:01:54.319222  7983 net.cpp:113] Setting up inception_4a/relu_5x5
I0506 01:01:54.319227  7983 net.cpp:120] Top shape: 32 48 14 14 (301056)
I0506 01:01:54.319231  7983 layer_factory.hpp:74] Creating layer inception_4a/pool
I0506 01:01:54.319238  7983 net.cpp:84] Creating Layer inception_4a/pool
I0506 01:01:54.319242  7983 net.cpp:380] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0506 01:01:54.319249  7983 net.cpp:338] inception_4a/pool -> inception_4a/pool
I0506 01:01:54.319257  7983 net.cpp:113] Setting up inception_4a/pool
I0506 01:01:54.319264  7983 net.cpp:120] Top shape: 32 480 14 14 (3010560)
I0506 01:01:54.319270  7983 layer_factory.hpp:74] Creating layer inception_4a/pool_proj
I0506 01:01:54.319278  7983 net.cpp:84] Creating Layer inception_4a/pool_proj
I0506 01:01:54.319281  7983 net.cpp:380] inception_4a/pool_proj <- inception_4a/pool
I0506 01:01:54.319290  7983 net.cpp:338] inception_4a/pool_proj -> inception_4a/pool_proj
I0506 01:01:54.319298  7983 net.cpp:113] Setting up inception_4a/pool_proj
I0506 01:01:54.319548  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.319560  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_pool_proj
I0506 01:01:54.319566  7983 net.cpp:84] Creating Layer inception_4a/relu_pool_proj
I0506 01:01:54.319571  7983 net.cpp:380] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I0506 01:01:54.319576  7983 net.cpp:327] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I0506 01:01:54.319582  7983 net.cpp:113] Setting up inception_4a/relu_pool_proj
I0506 01:01:54.319588  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.319592  7983 layer_factory.hpp:74] Creating layer inception_4a/output
I0506 01:01:54.319598  7983 net.cpp:84] Creating Layer inception_4a/output
I0506 01:01:54.319602  7983 net.cpp:380] inception_4a/output <- inception_4a/1x1
I0506 01:01:54.319607  7983 net.cpp:380] inception_4a/output <- inception_4a/3x3
I0506 01:01:54.319612  7983 net.cpp:380] inception_4a/output <- inception_4a/5x5
I0506 01:01:54.319617  7983 net.cpp:380] inception_4a/output <- inception_4a/pool_proj
I0506 01:01:54.319625  7983 net.cpp:338] inception_4a/output -> inception_4a/output
I0506 01:01:54.319633  7983 net.cpp:113] Setting up inception_4a/output
I0506 01:01:54.319639  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319644  7983 layer_factory.hpp:74] Creating layer inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.319650  7983 net.cpp:84] Creating Layer inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.319654  7983 net.cpp:380] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I0506 01:01:54.319661  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I0506 01:01:54.319669  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I0506 01:01:54.319676  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I0506 01:01:54.319684  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I0506 01:01:54.319690  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_4
I0506 01:01:54.319700  7983 net.cpp:113] Setting up inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.319706  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319711  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319716  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319721  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319726  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.319730  7983 layer_factory.hpp:74] Creating layer loss1/ave_pool
I0506 01:01:54.319738  7983 net.cpp:84] Creating Layer loss1/ave_pool
I0506 01:01:54.319742  7983 net.cpp:380] loss1/ave_pool <- inception_4a/output_inception_4a/output_0_split_0
I0506 01:01:54.319748  7983 net.cpp:338] loss1/ave_pool -> loss1/ave_pool
I0506 01:01:54.319756  7983 net.cpp:113] Setting up loss1/ave_pool
I0506 01:01:54.319762  7983 net.cpp:120] Top shape: 32 512 4 4 (262144)
I0506 01:01:54.319766  7983 layer_factory.hpp:74] Creating layer loss1/conv
I0506 01:01:54.319774  7983 net.cpp:84] Creating Layer loss1/conv
I0506 01:01:54.319779  7983 net.cpp:380] loss1/conv <- loss1/ave_pool
I0506 01:01:54.319785  7983 net.cpp:338] loss1/conv -> loss1/conv
I0506 01:01:54.319792  7983 net.cpp:113] Setting up loss1/conv
I0506 01:01:54.320307  7983 net.cpp:120] Top shape: 32 128 4 4 (65536)
I0506 01:01:54.320319  7983 layer_factory.hpp:74] Creating layer loss1/relu_conv
I0506 01:01:54.320325  7983 net.cpp:84] Creating Layer loss1/relu_conv
I0506 01:01:54.320330  7983 net.cpp:380] loss1/relu_conv <- loss1/conv
I0506 01:01:54.320338  7983 net.cpp:327] loss1/relu_conv -> loss1/conv (in-place)
I0506 01:01:54.320343  7983 net.cpp:113] Setting up loss1/relu_conv
I0506 01:01:54.320349  7983 net.cpp:120] Top shape: 32 128 4 4 (65536)
I0506 01:01:54.320353  7983 layer_factory.hpp:74] Creating layer loss1/fc
I0506 01:01:54.320361  7983 net.cpp:84] Creating Layer loss1/fc
I0506 01:01:54.320365  7983 net.cpp:380] loss1/fc <- loss1/conv
I0506 01:01:54.320374  7983 net.cpp:338] loss1/fc -> loss1/fc
I0506 01:01:54.320384  7983 net.cpp:113] Setting up loss1/fc
I0506 01:01:54.336019  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.336050  7983 layer_factory.hpp:74] Creating layer loss1/relu_fc
I0506 01:01:54.336061  7983 net.cpp:84] Creating Layer loss1/relu_fc
I0506 01:01:54.336069  7983 net.cpp:380] loss1/relu_fc <- loss1/fc
I0506 01:01:54.336077  7983 net.cpp:327] loss1/relu_fc -> loss1/fc (in-place)
I0506 01:01:54.336086  7983 net.cpp:113] Setting up loss1/relu_fc
I0506 01:01:54.336119  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.336138  7983 layer_factory.hpp:74] Creating layer loss1/drop_fc
I0506 01:01:54.336163  7983 net.cpp:84] Creating Layer loss1/drop_fc
I0506 01:01:54.336169  7983 net.cpp:380] loss1/drop_fc <- loss1/fc
I0506 01:01:54.336175  7983 net.cpp:327] loss1/drop_fc -> loss1/fc (in-place)
I0506 01:01:54.336187  7983 net.cpp:113] Setting up loss1/drop_fc
I0506 01:01:54.336199  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.336205  7983 layer_factory.hpp:74] Creating layer loss1/classifier
I0506 01:01:54.336215  7983 net.cpp:84] Creating Layer loss1/classifier
I0506 01:01:54.336221  7983 net.cpp:380] loss1/classifier <- loss1/fc
I0506 01:01:54.336228  7983 net.cpp:338] loss1/classifier -> loss1/classifier
I0506 01:01:54.336238  7983 net.cpp:113] Setting up loss1/classifier
I0506 01:01:54.336305  7983 net.cpp:120] Top shape: 32 6 (192)
I0506 01:01:54.336315  7983 layer_factory.hpp:74] Creating layer loss1/loss
I0506 01:01:54.336326  7983 net.cpp:84] Creating Layer loss1/loss
I0506 01:01:54.336333  7983 net.cpp:380] loss1/loss <- loss1/classifier
I0506 01:01:54.336338  7983 net.cpp:380] loss1/loss <- label_data_1_split_0
I0506 01:01:54.336346  7983 net.cpp:338] loss1/loss -> loss1/loss1
I0506 01:01:54.336354  7983 net.cpp:113] Setting up loss1/loss
I0506 01:01:54.336364  7983 layer_factory.hpp:74] Creating layer loss1/loss
I0506 01:01:54.336382  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.336388  7983 net.cpp:122]     with loss weight 0.3
I0506 01:01:54.336411  7983 layer_factory.hpp:74] Creating layer inception_4b/1x1
I0506 01:01:54.336422  7983 net.cpp:84] Creating Layer inception_4b/1x1
I0506 01:01:54.336429  7983 net.cpp:380] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_1
I0506 01:01:54.336443  7983 net.cpp:338] inception_4b/1x1 -> inception_4b/1x1
I0506 01:01:54.336453  7983 net.cpp:113] Setting up inception_4b/1x1
I0506 01:01:54.337136  7983 net.cpp:120] Top shape: 32 160 14 14 (1003520)
I0506 01:01:54.337149  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_1x1
I0506 01:01:54.337155  7983 net.cpp:84] Creating Layer inception_4b/relu_1x1
I0506 01:01:54.337162  7983 net.cpp:380] inception_4b/relu_1x1 <- inception_4b/1x1
I0506 01:01:54.337167  7983 net.cpp:327] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I0506 01:01:54.337174  7983 net.cpp:113] Setting up inception_4b/relu_1x1
I0506 01:01:54.337180  7983 net.cpp:120] Top shape: 32 160 14 14 (1003520)
I0506 01:01:54.337187  7983 layer_factory.hpp:74] Creating layer inception_4b/3x3_reduce
I0506 01:01:54.337195  7983 net.cpp:84] Creating Layer inception_4b/3x3_reduce
I0506 01:01:54.337201  7983 net.cpp:380] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_2
I0506 01:01:54.337208  7983 net.cpp:338] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I0506 01:01:54.337218  7983 net.cpp:113] Setting up inception_4b/3x3_reduce
I0506 01:01:54.337677  7983 net.cpp:120] Top shape: 32 112 14 14 (702464)
I0506 01:01:54.337688  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_3x3_reduce
I0506 01:01:54.337694  7983 net.cpp:84] Creating Layer inception_4b/relu_3x3_reduce
I0506 01:01:54.337699  7983 net.cpp:380] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I0506 01:01:54.337705  7983 net.cpp:327] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I0506 01:01:54.337710  7983 net.cpp:113] Setting up inception_4b/relu_3x3_reduce
I0506 01:01:54.337716  7983 net.cpp:120] Top shape: 32 112 14 14 (702464)
I0506 01:01:54.337720  7983 layer_factory.hpp:74] Creating layer inception_4b/3x3
I0506 01:01:54.337728  7983 net.cpp:84] Creating Layer inception_4b/3x3
I0506 01:01:54.337731  7983 net.cpp:380] inception_4b/3x3 <- inception_4b/3x3_reduce
I0506 01:01:54.337739  7983 net.cpp:338] inception_4b/3x3 -> inception_4b/3x3
I0506 01:01:54.337748  7983 net.cpp:113] Setting up inception_4b/3x3
I0506 01:01:54.339485  7983 net.cpp:120] Top shape: 32 224 14 14 (1404928)
I0506 01:01:54.339498  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_3x3
I0506 01:01:54.339504  7983 net.cpp:84] Creating Layer inception_4b/relu_3x3
I0506 01:01:54.339509  7983 net.cpp:380] inception_4b/relu_3x3 <- inception_4b/3x3
I0506 01:01:54.339514  7983 net.cpp:327] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I0506 01:01:54.339520  7983 net.cpp:113] Setting up inception_4b/relu_3x3
I0506 01:01:54.339526  7983 net.cpp:120] Top shape: 32 224 14 14 (1404928)
I0506 01:01:54.339530  7983 layer_factory.hpp:74] Creating layer inception_4b/5x5_reduce
I0506 01:01:54.339537  7983 net.cpp:84] Creating Layer inception_4b/5x5_reduce
I0506 01:01:54.339541  7983 net.cpp:380] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_3
I0506 01:01:54.339550  7983 net.cpp:338] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I0506 01:01:54.339556  7983 net.cpp:113] Setting up inception_4b/5x5_reduce
I0506 01:01:54.339663  7983 net.cpp:120] Top shape: 32 24 14 14 (150528)
I0506 01:01:54.339673  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_5x5_reduce
I0506 01:01:54.339678  7983 net.cpp:84] Creating Layer inception_4b/relu_5x5_reduce
I0506 01:01:54.339682  7983 net.cpp:380] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I0506 01:01:54.339687  7983 net.cpp:327] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I0506 01:01:54.339694  7983 net.cpp:113] Setting up inception_4b/relu_5x5_reduce
I0506 01:01:54.339699  7983 net.cpp:120] Top shape: 32 24 14 14 (150528)
I0506 01:01:54.339704  7983 layer_factory.hpp:74] Creating layer inception_4b/5x5
I0506 01:01:54.339712  7983 net.cpp:84] Creating Layer inception_4b/5x5
I0506 01:01:54.339716  7983 net.cpp:380] inception_4b/5x5 <- inception_4b/5x5_reduce
I0506 01:01:54.339725  7983 net.cpp:338] inception_4b/5x5 -> inception_4b/5x5
I0506 01:01:54.339731  7983 net.cpp:113] Setting up inception_4b/5x5
I0506 01:01:54.340041  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.340052  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_5x5
I0506 01:01:54.340059  7983 net.cpp:84] Creating Layer inception_4b/relu_5x5
I0506 01:01:54.340064  7983 net.cpp:380] inception_4b/relu_5x5 <- inception_4b/5x5
I0506 01:01:54.340068  7983 net.cpp:327] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I0506 01:01:54.340075  7983 net.cpp:113] Setting up inception_4b/relu_5x5
I0506 01:01:54.340080  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.340085  7983 layer_factory.hpp:74] Creating layer inception_4b/pool
I0506 01:01:54.340090  7983 net.cpp:84] Creating Layer inception_4b/pool
I0506 01:01:54.340095  7983 net.cpp:380] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_4
I0506 01:01:54.340102  7983 net.cpp:338] inception_4b/pool -> inception_4b/pool
I0506 01:01:54.340117  7983 net.cpp:113] Setting up inception_4b/pool
I0506 01:01:54.340127  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340132  7983 layer_factory.hpp:74] Creating layer inception_4b/pool_proj
I0506 01:01:54.340140  7983 net.cpp:84] Creating Layer inception_4b/pool_proj
I0506 01:01:54.340144  7983 net.cpp:380] inception_4b/pool_proj <- inception_4b/pool
I0506 01:01:54.340153  7983 net.cpp:338] inception_4b/pool_proj -> inception_4b/pool_proj
I0506 01:01:54.340160  7983 net.cpp:113] Setting up inception_4b/pool_proj
I0506 01:01:54.340423  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.340435  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_pool_proj
I0506 01:01:54.340440  7983 net.cpp:84] Creating Layer inception_4b/relu_pool_proj
I0506 01:01:54.340445  7983 net.cpp:380] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I0506 01:01:54.340450  7983 net.cpp:327] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I0506 01:01:54.340456  7983 net.cpp:113] Setting up inception_4b/relu_pool_proj
I0506 01:01:54.340461  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.340466  7983 layer_factory.hpp:74] Creating layer inception_4b/output
I0506 01:01:54.340472  7983 net.cpp:84] Creating Layer inception_4b/output
I0506 01:01:54.340476  7983 net.cpp:380] inception_4b/output <- inception_4b/1x1
I0506 01:01:54.340482  7983 net.cpp:380] inception_4b/output <- inception_4b/3x3
I0506 01:01:54.340488  7983 net.cpp:380] inception_4b/output <- inception_4b/5x5
I0506 01:01:54.340493  7983 net.cpp:380] inception_4b/output <- inception_4b/pool_proj
I0506 01:01:54.340498  7983 net.cpp:338] inception_4b/output -> inception_4b/output
I0506 01:01:54.340505  7983 net.cpp:113] Setting up inception_4b/output
I0506 01:01:54.340513  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340517  7983 layer_factory.hpp:74] Creating layer inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.340524  7983 net.cpp:84] Creating Layer inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.340528  7983 net.cpp:380] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I0506 01:01:54.340535  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I0506 01:01:54.340543  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I0506 01:01:54.340550  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I0506 01:01:54.340558  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I0506 01:01:54.340565  7983 net.cpp:113] Setting up inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.340574  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340579  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340584  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340589  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.340592  7983 layer_factory.hpp:74] Creating layer inception_4c/1x1
I0506 01:01:54.340601  7983 net.cpp:84] Creating Layer inception_4c/1x1
I0506 01:01:54.340620  7983 net.cpp:380] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I0506 01:01:54.340631  7983 net.cpp:338] inception_4c/1x1 -> inception_4c/1x1
I0506 01:01:54.340641  7983 net.cpp:113] Setting up inception_4c/1x1
I0506 01:01:54.341152  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.341163  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_1x1
I0506 01:01:54.341171  7983 net.cpp:84] Creating Layer inception_4c/relu_1x1
I0506 01:01:54.341176  7983 net.cpp:380] inception_4c/relu_1x1 <- inception_4c/1x1
I0506 01:01:54.341181  7983 net.cpp:327] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I0506 01:01:54.341187  7983 net.cpp:113] Setting up inception_4c/relu_1x1
I0506 01:01:54.341193  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.341197  7983 layer_factory.hpp:74] Creating layer inception_4c/3x3_reduce
I0506 01:01:54.341205  7983 net.cpp:84] Creating Layer inception_4c/3x3_reduce
I0506 01:01:54.341210  7983 net.cpp:380] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I0506 01:01:54.341217  7983 net.cpp:338] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I0506 01:01:54.341223  7983 net.cpp:113] Setting up inception_4c/3x3_reduce
I0506 01:01:54.341734  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.341745  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_3x3_reduce
I0506 01:01:54.341753  7983 net.cpp:84] Creating Layer inception_4c/relu_3x3_reduce
I0506 01:01:54.341758  7983 net.cpp:380] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I0506 01:01:54.341763  7983 net.cpp:327] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I0506 01:01:54.341769  7983 net.cpp:113] Setting up inception_4c/relu_3x3_reduce
I0506 01:01:54.341775  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.341779  7983 layer_factory.hpp:74] Creating layer inception_4c/3x3
I0506 01:01:54.341786  7983 net.cpp:84] Creating Layer inception_4c/3x3
I0506 01:01:54.341790  7983 net.cpp:380] inception_4c/3x3 <- inception_4c/3x3_reduce
I0506 01:01:54.341799  7983 net.cpp:338] inception_4c/3x3 -> inception_4c/3x3
I0506 01:01:54.341805  7983 net.cpp:113] Setting up inception_4c/3x3
I0506 01:01:54.344050  7983 net.cpp:120] Top shape: 32 256 14 14 (1605632)
I0506 01:01:54.344074  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_3x3
I0506 01:01:54.344080  7983 net.cpp:84] Creating Layer inception_4c/relu_3x3
I0506 01:01:54.344084  7983 net.cpp:380] inception_4c/relu_3x3 <- inception_4c/3x3
I0506 01:01:54.344091  7983 net.cpp:327] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I0506 01:01:54.344097  7983 net.cpp:113] Setting up inception_4c/relu_3x3
I0506 01:01:54.344102  7983 net.cpp:120] Top shape: 32 256 14 14 (1605632)
I0506 01:01:54.344107  7983 layer_factory.hpp:74] Creating layer inception_4c/5x5_reduce
I0506 01:01:54.344115  7983 net.cpp:84] Creating Layer inception_4c/5x5_reduce
I0506 01:01:54.344120  7983 net.cpp:380] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I0506 01:01:54.344127  7983 net.cpp:338] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I0506 01:01:54.344135  7983 net.cpp:113] Setting up inception_4c/5x5_reduce
I0506 01:01:54.344246  7983 net.cpp:120] Top shape: 32 24 14 14 (150528)
I0506 01:01:54.344255  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_5x5_reduce
I0506 01:01:54.344261  7983 net.cpp:84] Creating Layer inception_4c/relu_5x5_reduce
I0506 01:01:54.344266  7983 net.cpp:380] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I0506 01:01:54.344271  7983 net.cpp:327] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I0506 01:01:54.344277  7983 net.cpp:113] Setting up inception_4c/relu_5x5_reduce
I0506 01:01:54.344283  7983 net.cpp:120] Top shape: 32 24 14 14 (150528)
I0506 01:01:54.344287  7983 layer_factory.hpp:74] Creating layer inception_4c/5x5
I0506 01:01:54.344295  7983 net.cpp:84] Creating Layer inception_4c/5x5
I0506 01:01:54.344300  7983 net.cpp:380] inception_4c/5x5 <- inception_4c/5x5_reduce
I0506 01:01:54.344307  7983 net.cpp:338] inception_4c/5x5 -> inception_4c/5x5
I0506 01:01:54.344315  7983 net.cpp:113] Setting up inception_4c/5x5
I0506 01:01:54.344636  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.344647  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_5x5
I0506 01:01:54.344653  7983 net.cpp:84] Creating Layer inception_4c/relu_5x5
I0506 01:01:54.344657  7983 net.cpp:380] inception_4c/relu_5x5 <- inception_4c/5x5
I0506 01:01:54.344663  7983 net.cpp:327] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I0506 01:01:54.344669  7983 net.cpp:113] Setting up inception_4c/relu_5x5
I0506 01:01:54.344674  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.344679  7983 layer_factory.hpp:74] Creating layer inception_4c/pool
I0506 01:01:54.344686  7983 net.cpp:84] Creating Layer inception_4c/pool
I0506 01:01:54.344689  7983 net.cpp:380] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I0506 01:01:54.344697  7983 net.cpp:338] inception_4c/pool -> inception_4c/pool
I0506 01:01:54.344704  7983 net.cpp:113] Setting up inception_4c/pool
I0506 01:01:54.344712  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.344717  7983 layer_factory.hpp:74] Creating layer inception_4c/pool_proj
I0506 01:01:54.344724  7983 net.cpp:84] Creating Layer inception_4c/pool_proj
I0506 01:01:54.344730  7983 net.cpp:380] inception_4c/pool_proj <- inception_4c/pool
I0506 01:01:54.344737  7983 net.cpp:338] inception_4c/pool_proj -> inception_4c/pool_proj
I0506 01:01:54.344744  7983 net.cpp:113] Setting up inception_4c/pool_proj
I0506 01:01:54.345007  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.345018  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_pool_proj
I0506 01:01:54.345023  7983 net.cpp:84] Creating Layer inception_4c/relu_pool_proj
I0506 01:01:54.345028  7983 net.cpp:380] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I0506 01:01:54.345036  7983 net.cpp:327] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I0506 01:01:54.345041  7983 net.cpp:113] Setting up inception_4c/relu_pool_proj
I0506 01:01:54.345047  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.345052  7983 layer_factory.hpp:74] Creating layer inception_4c/output
I0506 01:01:54.345058  7983 net.cpp:84] Creating Layer inception_4c/output
I0506 01:01:54.345062  7983 net.cpp:380] inception_4c/output <- inception_4c/1x1
I0506 01:01:54.345067  7983 net.cpp:380] inception_4c/output <- inception_4c/3x3
I0506 01:01:54.345072  7983 net.cpp:380] inception_4c/output <- inception_4c/5x5
I0506 01:01:54.345077  7983 net.cpp:380] inception_4c/output <- inception_4c/pool_proj
I0506 01:01:54.345082  7983 net.cpp:338] inception_4c/output -> inception_4c/output
I0506 01:01:54.345088  7983 net.cpp:113] Setting up inception_4c/output
I0506 01:01:54.345095  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.345099  7983 layer_factory.hpp:74] Creating layer inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.345105  7983 net.cpp:84] Creating Layer inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.345110  7983 net.cpp:380] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I0506 01:01:54.345118  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I0506 01:01:54.345124  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I0506 01:01:54.345132  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I0506 01:01:54.345139  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I0506 01:01:54.345146  7983 net.cpp:113] Setting up inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.345155  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.345162  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.345167  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.345172  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.345176  7983 layer_factory.hpp:74] Creating layer inception_4d/1x1
I0506 01:01:54.345183  7983 net.cpp:84] Creating Layer inception_4d/1x1
I0506 01:01:54.345187  7983 net.cpp:380] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I0506 01:01:54.345194  7983 net.cpp:338] inception_4d/1x1 -> inception_4d/1x1
I0506 01:01:54.345201  7983 net.cpp:113] Setting up inception_4d/1x1
I0506 01:01:54.345650  7983 net.cpp:120] Top shape: 32 112 14 14 (702464)
I0506 01:01:54.345662  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_1x1
I0506 01:01:54.345669  7983 net.cpp:84] Creating Layer inception_4d/relu_1x1
I0506 01:01:54.345672  7983 net.cpp:380] inception_4d/relu_1x1 <- inception_4d/1x1
I0506 01:01:54.345679  7983 net.cpp:327] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I0506 01:01:54.345685  7983 net.cpp:113] Setting up inception_4d/relu_1x1
I0506 01:01:54.345690  7983 net.cpp:120] Top shape: 32 112 14 14 (702464)
I0506 01:01:54.345693  7983 layer_factory.hpp:74] Creating layer inception_4d/3x3_reduce
I0506 01:01:54.345702  7983 net.cpp:84] Creating Layer inception_4d/3x3_reduce
I0506 01:01:54.345707  7983 net.cpp:380] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I0506 01:01:54.345713  7983 net.cpp:338] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I0506 01:01:54.345721  7983 net.cpp:113] Setting up inception_4d/3x3_reduce
I0506 01:01:54.346295  7983 net.cpp:120] Top shape: 32 144 14 14 (903168)
I0506 01:01:54.346307  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_3x3_reduce
I0506 01:01:54.346314  7983 net.cpp:84] Creating Layer inception_4d/relu_3x3_reduce
I0506 01:01:54.346319  7983 net.cpp:380] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I0506 01:01:54.346325  7983 net.cpp:327] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I0506 01:01:54.346331  7983 net.cpp:113] Setting up inception_4d/relu_3x3_reduce
I0506 01:01:54.346338  7983 net.cpp:120] Top shape: 32 144 14 14 (903168)
I0506 01:01:54.346341  7983 layer_factory.hpp:74] Creating layer inception_4d/3x3
I0506 01:01:54.346349  7983 net.cpp:84] Creating Layer inception_4d/3x3
I0506 01:01:54.346354  7983 net.cpp:380] inception_4d/3x3 <- inception_4d/3x3_reduce
I0506 01:01:54.346361  7983 net.cpp:338] inception_4d/3x3 -> inception_4d/3x3
I0506 01:01:54.346369  7983 net.cpp:113] Setting up inception_4d/3x3
I0506 01:01:54.349400  7983 net.cpp:120] Top shape: 32 288 14 14 (1806336)
I0506 01:01:54.349413  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_3x3
I0506 01:01:54.349421  7983 net.cpp:84] Creating Layer inception_4d/relu_3x3
I0506 01:01:54.349426  7983 net.cpp:380] inception_4d/relu_3x3 <- inception_4d/3x3
I0506 01:01:54.349432  7983 net.cpp:327] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I0506 01:01:54.349438  7983 net.cpp:113] Setting up inception_4d/relu_3x3
I0506 01:01:54.349444  7983 net.cpp:120] Top shape: 32 288 14 14 (1806336)
I0506 01:01:54.349448  7983 layer_factory.hpp:74] Creating layer inception_4d/5x5_reduce
I0506 01:01:54.349457  7983 net.cpp:84] Creating Layer inception_4d/5x5_reduce
I0506 01:01:54.349462  7983 net.cpp:380] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I0506 01:01:54.349468  7983 net.cpp:338] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I0506 01:01:54.349475  7983 net.cpp:113] Setting up inception_4d/5x5_reduce
I0506 01:01:54.349611  7983 net.cpp:120] Top shape: 32 32 14 14 (200704)
I0506 01:01:54.349622  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_5x5_reduce
I0506 01:01:54.349627  7983 net.cpp:84] Creating Layer inception_4d/relu_5x5_reduce
I0506 01:01:54.349632  7983 net.cpp:380] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I0506 01:01:54.349640  7983 net.cpp:327] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I0506 01:01:54.349647  7983 net.cpp:113] Setting up inception_4d/relu_5x5_reduce
I0506 01:01:54.349653  7983 net.cpp:120] Top shape: 32 32 14 14 (200704)
I0506 01:01:54.349658  7983 layer_factory.hpp:74] Creating layer inception_4d/5x5
I0506 01:01:54.349663  7983 net.cpp:84] Creating Layer inception_4d/5x5
I0506 01:01:54.349668  7983 net.cpp:380] inception_4d/5x5 <- inception_4d/5x5_reduce
I0506 01:01:54.349674  7983 net.cpp:338] inception_4d/5x5 -> inception_4d/5x5
I0506 01:01:54.349681  7983 net.cpp:113] Setting up inception_4d/5x5
I0506 01:01:54.350085  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.350095  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_5x5
I0506 01:01:54.350101  7983 net.cpp:84] Creating Layer inception_4d/relu_5x5
I0506 01:01:54.350106  7983 net.cpp:380] inception_4d/relu_5x5 <- inception_4d/5x5
I0506 01:01:54.350111  7983 net.cpp:327] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I0506 01:01:54.350117  7983 net.cpp:113] Setting up inception_4d/relu_5x5
I0506 01:01:54.350123  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.350127  7983 layer_factory.hpp:74] Creating layer inception_4d/pool
I0506 01:01:54.350133  7983 net.cpp:84] Creating Layer inception_4d/pool
I0506 01:01:54.350137  7983 net.cpp:380] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I0506 01:01:54.350145  7983 net.cpp:338] inception_4d/pool -> inception_4d/pool
I0506 01:01:54.350152  7983 net.cpp:113] Setting up inception_4d/pool
I0506 01:01:54.350159  7983 net.cpp:120] Top shape: 32 512 14 14 (3211264)
I0506 01:01:54.350163  7983 layer_factory.hpp:74] Creating layer inception_4d/pool_proj
I0506 01:01:54.350172  7983 net.cpp:84] Creating Layer inception_4d/pool_proj
I0506 01:01:54.350177  7983 net.cpp:380] inception_4d/pool_proj <- inception_4d/pool
I0506 01:01:54.350183  7983 net.cpp:338] inception_4d/pool_proj -> inception_4d/pool_proj
I0506 01:01:54.350190  7983 net.cpp:113] Setting up inception_4d/pool_proj
I0506 01:01:54.350455  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.350466  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_pool_proj
I0506 01:01:54.350471  7983 net.cpp:84] Creating Layer inception_4d/relu_pool_proj
I0506 01:01:54.350476  7983 net.cpp:380] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I0506 01:01:54.350483  7983 net.cpp:327] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I0506 01:01:54.350491  7983 net.cpp:113] Setting up inception_4d/relu_pool_proj
I0506 01:01:54.350497  7983 net.cpp:120] Top shape: 32 64 14 14 (401408)
I0506 01:01:54.350500  7983 layer_factory.hpp:74] Creating layer inception_4d/output
I0506 01:01:54.350507  7983 net.cpp:84] Creating Layer inception_4d/output
I0506 01:01:54.350510  7983 net.cpp:380] inception_4d/output <- inception_4d/1x1
I0506 01:01:54.350515  7983 net.cpp:380] inception_4d/output <- inception_4d/3x3
I0506 01:01:54.350520  7983 net.cpp:380] inception_4d/output <- inception_4d/5x5
I0506 01:01:54.350524  7983 net.cpp:380] inception_4d/output <- inception_4d/pool_proj
I0506 01:01:54.350530  7983 net.cpp:338] inception_4d/output -> inception_4d/output
I0506 01:01:54.350536  7983 net.cpp:113] Setting up inception_4d/output
I0506 01:01:54.350543  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350548  7983 layer_factory.hpp:74] Creating layer inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.350554  7983 net.cpp:84] Creating Layer inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.350558  7983 net.cpp:380] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I0506 01:01:54.350565  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I0506 01:01:54.350574  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I0506 01:01:54.350580  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I0506 01:01:54.350589  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I0506 01:01:54.350596  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_4
I0506 01:01:54.350605  7983 net.cpp:113] Setting up inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.350612  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350617  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350622  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350627  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350632  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.350636  7983 layer_factory.hpp:74] Creating layer loss2/ave_pool
I0506 01:01:54.350642  7983 net.cpp:84] Creating Layer loss2/ave_pool
I0506 01:01:54.350646  7983 net.cpp:380] loss2/ave_pool <- inception_4d/output_inception_4d/output_0_split_0
I0506 01:01:54.350652  7983 net.cpp:338] loss2/ave_pool -> loss2/ave_pool
I0506 01:01:54.350659  7983 net.cpp:113] Setting up loss2/ave_pool
I0506 01:01:54.350666  7983 net.cpp:120] Top shape: 32 528 4 4 (270336)
I0506 01:01:54.350671  7983 layer_factory.hpp:74] Creating layer loss2/conv
I0506 01:01:54.350678  7983 net.cpp:84] Creating Layer loss2/conv
I0506 01:01:54.350683  7983 net.cpp:380] loss2/conv <- loss2/ave_pool
I0506 01:01:54.350692  7983 net.cpp:338] loss2/conv -> loss2/conv
I0506 01:01:54.350698  7983 net.cpp:113] Setting up loss2/conv
I0506 01:01:54.351222  7983 net.cpp:120] Top shape: 32 128 4 4 (65536)
I0506 01:01:54.351233  7983 layer_factory.hpp:74] Creating layer loss2/relu_conv
I0506 01:01:54.351243  7983 net.cpp:84] Creating Layer loss2/relu_conv
I0506 01:01:54.351248  7983 net.cpp:380] loss2/relu_conv <- loss2/conv
I0506 01:01:54.351253  7983 net.cpp:327] loss2/relu_conv -> loss2/conv (in-place)
I0506 01:01:54.351258  7983 net.cpp:113] Setting up loss2/relu_conv
I0506 01:01:54.351264  7983 net.cpp:120] Top shape: 32 128 4 4 (65536)
I0506 01:01:54.351269  7983 layer_factory.hpp:74] Creating layer loss2/fc
I0506 01:01:54.351276  7983 net.cpp:84] Creating Layer loss2/fc
I0506 01:01:54.351280  7983 net.cpp:380] loss2/fc <- loss2/conv
I0506 01:01:54.351289  7983 net.cpp:338] loss2/fc -> loss2/fc
I0506 01:01:54.351296  7983 net.cpp:113] Setting up loss2/fc
I0506 01:01:54.366844  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.366875  7983 layer_factory.hpp:74] Creating layer loss2/relu_fc
I0506 01:01:54.366888  7983 net.cpp:84] Creating Layer loss2/relu_fc
I0506 01:01:54.366896  7983 net.cpp:380] loss2/relu_fc <- loss2/fc
I0506 01:01:54.366905  7983 net.cpp:327] loss2/relu_fc -> loss2/fc (in-place)
I0506 01:01:54.366914  7983 net.cpp:113] Setting up loss2/relu_fc
I0506 01:01:54.366920  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.366925  7983 layer_factory.hpp:74] Creating layer loss2/drop_fc
I0506 01:01:54.366932  7983 net.cpp:84] Creating Layer loss2/drop_fc
I0506 01:01:54.366936  7983 net.cpp:380] loss2/drop_fc <- loss2/fc
I0506 01:01:54.366943  7983 net.cpp:327] loss2/drop_fc -> loss2/fc (in-place)
I0506 01:01:54.366950  7983 net.cpp:113] Setting up loss2/drop_fc
I0506 01:01:54.366957  7983 net.cpp:120] Top shape: 32 1024 (32768)
I0506 01:01:54.366961  7983 layer_factory.hpp:74] Creating layer loss2/classifier
I0506 01:01:54.366971  7983 net.cpp:84] Creating Layer loss2/classifier
I0506 01:01:54.366974  7983 net.cpp:380] loss2/classifier <- loss2/fc
I0506 01:01:54.366981  7983 net.cpp:338] loss2/classifier -> loss2/classifier
I0506 01:01:54.366991  7983 net.cpp:113] Setting up loss2/classifier
I0506 01:01:54.367053  7983 net.cpp:120] Top shape: 32 6 (192)
I0506 01:01:54.367063  7983 layer_factory.hpp:74] Creating layer loss2/loss
I0506 01:01:54.367070  7983 net.cpp:84] Creating Layer loss2/loss
I0506 01:01:54.367074  7983 net.cpp:380] loss2/loss <- loss2/classifier
I0506 01:01:54.367080  7983 net.cpp:380] loss2/loss <- label_data_1_split_1
I0506 01:01:54.367087  7983 net.cpp:338] loss2/loss -> loss2/loss1
I0506 01:01:54.367094  7983 net.cpp:113] Setting up loss2/loss
I0506 01:01:54.367100  7983 layer_factory.hpp:74] Creating layer loss2/loss
I0506 01:01:54.367117  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.367123  7983 net.cpp:122]     with loss weight 0.3
I0506 01:01:54.367141  7983 layer_factory.hpp:74] Creating layer inception_4e/1x1
I0506 01:01:54.367151  7983 net.cpp:84] Creating Layer inception_4e/1x1
I0506 01:01:54.367156  7983 net.cpp:380] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_1
I0506 01:01:54.367163  7983 net.cpp:338] inception_4e/1x1 -> inception_4e/1x1
I0506 01:01:54.367174  7983 net.cpp:113] Setting up inception_4e/1x1
I0506 01:01:54.368262  7983 net.cpp:120] Top shape: 32 256 14 14 (1605632)
I0506 01:01:54.368290  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_1x1
I0506 01:01:54.368300  7983 net.cpp:84] Creating Layer inception_4e/relu_1x1
I0506 01:01:54.368309  7983 net.cpp:380] inception_4e/relu_1x1 <- inception_4e/1x1
I0506 01:01:54.368315  7983 net.cpp:327] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I0506 01:01:54.368324  7983 net.cpp:113] Setting up inception_4e/relu_1x1
I0506 01:01:54.368330  7983 net.cpp:120] Top shape: 32 256 14 14 (1605632)
I0506 01:01:54.368333  7983 layer_factory.hpp:74] Creating layer inception_4e/3x3_reduce
I0506 01:01:54.368342  7983 net.cpp:84] Creating Layer inception_4e/3x3_reduce
I0506 01:01:54.368347  7983 net.cpp:380] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_2
I0506 01:01:54.368356  7983 net.cpp:338] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I0506 01:01:54.368365  7983 net.cpp:113] Setting up inception_4e/3x3_reduce
I0506 01:01:54.369060  7983 net.cpp:120] Top shape: 32 160 14 14 (1003520)
I0506 01:01:54.369079  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_3x3_reduce
I0506 01:01:54.369089  7983 net.cpp:84] Creating Layer inception_4e/relu_3x3_reduce
I0506 01:01:54.369096  7983 net.cpp:380] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I0506 01:01:54.369102  7983 net.cpp:327] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I0506 01:01:54.369110  7983 net.cpp:113] Setting up inception_4e/relu_3x3_reduce
I0506 01:01:54.369115  7983 net.cpp:120] Top shape: 32 160 14 14 (1003520)
I0506 01:01:54.369119  7983 layer_factory.hpp:74] Creating layer inception_4e/3x3
I0506 01:01:54.369128  7983 net.cpp:84] Creating Layer inception_4e/3x3
I0506 01:01:54.369132  7983 net.cpp:380] inception_4e/3x3 <- inception_4e/3x3_reduce
I0506 01:01:54.369143  7983 net.cpp:338] inception_4e/3x3 -> inception_4e/3x3
I0506 01:01:54.369150  7983 net.cpp:113] Setting up inception_4e/3x3
I0506 01:01:54.372836  7983 net.cpp:120] Top shape: 32 320 14 14 (2007040)
I0506 01:01:54.372865  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_3x3
I0506 01:01:54.372876  7983 net.cpp:84] Creating Layer inception_4e/relu_3x3
I0506 01:01:54.372882  7983 net.cpp:380] inception_4e/relu_3x3 <- inception_4e/3x3
I0506 01:01:54.372892  7983 net.cpp:327] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I0506 01:01:54.372900  7983 net.cpp:113] Setting up inception_4e/relu_3x3
I0506 01:01:54.372906  7983 net.cpp:120] Top shape: 32 320 14 14 (2007040)
I0506 01:01:54.372911  7983 layer_factory.hpp:74] Creating layer inception_4e/5x5_reduce
I0506 01:01:54.372920  7983 net.cpp:84] Creating Layer inception_4e/5x5_reduce
I0506 01:01:54.372925  7983 net.cpp:380] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_3
I0506 01:01:54.372933  7983 net.cpp:338] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I0506 01:01:54.372941  7983 net.cpp:113] Setting up inception_4e/5x5_reduce
I0506 01:01:54.373091  7983 net.cpp:120] Top shape: 32 32 14 14 (200704)
I0506 01:01:54.373101  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_5x5_reduce
I0506 01:01:54.373107  7983 net.cpp:84] Creating Layer inception_4e/relu_5x5_reduce
I0506 01:01:54.373111  7983 net.cpp:380] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I0506 01:01:54.373117  7983 net.cpp:327] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I0506 01:01:54.373123  7983 net.cpp:113] Setting up inception_4e/relu_5x5_reduce
I0506 01:01:54.373128  7983 net.cpp:120] Top shape: 32 32 14 14 (200704)
I0506 01:01:54.373132  7983 layer_factory.hpp:74] Creating layer inception_4e/5x5
I0506 01:01:54.373157  7983 net.cpp:84] Creating Layer inception_4e/5x5
I0506 01:01:54.373163  7983 net.cpp:380] inception_4e/5x5 <- inception_4e/5x5_reduce
I0506 01:01:54.373170  7983 net.cpp:338] inception_4e/5x5 -> inception_4e/5x5
I0506 01:01:54.373178  7983 net.cpp:113] Setting up inception_4e/5x5
I0506 01:01:54.373975  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.373987  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_5x5
I0506 01:01:54.373994  7983 net.cpp:84] Creating Layer inception_4e/relu_5x5
I0506 01:01:54.373998  7983 net.cpp:380] inception_4e/relu_5x5 <- inception_4e/5x5
I0506 01:01:54.374006  7983 net.cpp:327] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I0506 01:01:54.374012  7983 net.cpp:113] Setting up inception_4e/relu_5x5
I0506 01:01:54.374018  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.374022  7983 layer_factory.hpp:74] Creating layer inception_4e/pool
I0506 01:01:54.374028  7983 net.cpp:84] Creating Layer inception_4e/pool
I0506 01:01:54.374033  7983 net.cpp:380] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_4
I0506 01:01:54.374039  7983 net.cpp:338] inception_4e/pool -> inception_4e/pool
I0506 01:01:54.374045  7983 net.cpp:113] Setting up inception_4e/pool
I0506 01:01:54.374058  7983 net.cpp:120] Top shape: 32 528 14 14 (3311616)
I0506 01:01:54.374061  7983 layer_factory.hpp:74] Creating layer inception_4e/pool_proj
I0506 01:01:54.374068  7983 net.cpp:84] Creating Layer inception_4e/pool_proj
I0506 01:01:54.374073  7983 net.cpp:380] inception_4e/pool_proj <- inception_4e/pool
I0506 01:01:54.374081  7983 net.cpp:338] inception_4e/pool_proj -> inception_4e/pool_proj
I0506 01:01:54.374089  7983 net.cpp:113] Setting up inception_4e/pool_proj
I0506 01:01:54.374620  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.374631  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_pool_proj
I0506 01:01:54.374637  7983 net.cpp:84] Creating Layer inception_4e/relu_pool_proj
I0506 01:01:54.374642  7983 net.cpp:380] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I0506 01:01:54.374647  7983 net.cpp:327] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I0506 01:01:54.374653  7983 net.cpp:113] Setting up inception_4e/relu_pool_proj
I0506 01:01:54.374660  7983 net.cpp:120] Top shape: 32 128 14 14 (802816)
I0506 01:01:54.374663  7983 layer_factory.hpp:74] Creating layer inception_4e/output
I0506 01:01:54.374670  7983 net.cpp:84] Creating Layer inception_4e/output
I0506 01:01:54.374673  7983 net.cpp:380] inception_4e/output <- inception_4e/1x1
I0506 01:01:54.374680  7983 net.cpp:380] inception_4e/output <- inception_4e/3x3
I0506 01:01:54.374685  7983 net.cpp:380] inception_4e/output <- inception_4e/5x5
I0506 01:01:54.374689  7983 net.cpp:380] inception_4e/output <- inception_4e/pool_proj
I0506 01:01:54.374697  7983 net.cpp:338] inception_4e/output -> inception_4e/output
I0506 01:01:54.374703  7983 net.cpp:113] Setting up inception_4e/output
I0506 01:01:54.374712  7983 net.cpp:120] Top shape: 32 832 14 14 (5218304)
I0506 01:01:54.374716  7983 layer_factory.hpp:74] Creating layer pool4/3x3_s2
I0506 01:01:54.374722  7983 net.cpp:84] Creating Layer pool4/3x3_s2
I0506 01:01:54.374727  7983 net.cpp:380] pool4/3x3_s2 <- inception_4e/output
I0506 01:01:54.374737  7983 net.cpp:338] pool4/3x3_s2 -> pool4/3x3_s2
I0506 01:01:54.374743  7983 net.cpp:113] Setting up pool4/3x3_s2
I0506 01:01:54.374753  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.374758  7983 layer_factory.hpp:74] Creating layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.374764  7983 net.cpp:84] Creating Layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.374768  7983 net.cpp:380] pool4/3x3_s2_pool4/3x3_s2_0_split <- pool4/3x3_s2
I0506 01:01:54.374774  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_0
I0506 01:01:54.374781  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_1
I0506 01:01:54.374790  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_2
I0506 01:01:54.374799  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_3
I0506 01:01:54.374805  7983 net.cpp:113] Setting up pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.374814  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.374819  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.374824  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.374827  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.374831  7983 layer_factory.hpp:74] Creating layer inception_5a/1x1
I0506 01:01:54.374841  7983 net.cpp:84] Creating Layer inception_5a/1x1
I0506 01:01:54.374845  7983 net.cpp:380] inception_5a/1x1 <- pool4/3x3_s2_pool4/3x3_s2_0_split_0
I0506 01:01:54.374857  7983 net.cpp:338] inception_5a/1x1 -> inception_5a/1x1
I0506 01:01:54.374864  7983 net.cpp:113] Setting up inception_5a/1x1
I0506 01:01:54.376507  7983 net.cpp:120] Top shape: 32 256 7 7 (401408)
I0506 01:01:54.376518  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_1x1
I0506 01:01:54.376525  7983 net.cpp:84] Creating Layer inception_5a/relu_1x1
I0506 01:01:54.376530  7983 net.cpp:380] inception_5a/relu_1x1 <- inception_5a/1x1
I0506 01:01:54.376536  7983 net.cpp:327] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I0506 01:01:54.376543  7983 net.cpp:113] Setting up inception_5a/relu_1x1
I0506 01:01:54.376549  7983 net.cpp:120] Top shape: 32 256 7 7 (401408)
I0506 01:01:54.376552  7983 layer_factory.hpp:74] Creating layer inception_5a/3x3_reduce
I0506 01:01:54.376559  7983 net.cpp:84] Creating Layer inception_5a/3x3_reduce
I0506 01:01:54.376564  7983 net.cpp:380] inception_5a/3x3_reduce <- pool4/3x3_s2_pool4/3x3_s2_0_split_1
I0506 01:01:54.376572  7983 net.cpp:338] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I0506 01:01:54.376579  7983 net.cpp:113] Setting up inception_5a/3x3_reduce
I0506 01:01:54.377619  7983 net.cpp:120] Top shape: 32 160 7 7 (250880)
I0506 01:01:54.377630  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_3x3_reduce
I0506 01:01:54.377636  7983 net.cpp:84] Creating Layer inception_5a/relu_3x3_reduce
I0506 01:01:54.377640  7983 net.cpp:380] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I0506 01:01:54.377646  7983 net.cpp:327] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I0506 01:01:54.377653  7983 net.cpp:113] Setting up inception_5a/relu_3x3_reduce
I0506 01:01:54.377660  7983 net.cpp:120] Top shape: 32 160 7 7 (250880)
I0506 01:01:54.377663  7983 layer_factory.hpp:74] Creating layer inception_5a/3x3
I0506 01:01:54.377671  7983 net.cpp:84] Creating Layer inception_5a/3x3
I0506 01:01:54.377676  7983 net.cpp:380] inception_5a/3x3 <- inception_5a/3x3_reduce
I0506 01:01:54.377682  7983 net.cpp:338] inception_5a/3x3 -> inception_5a/3x3
I0506 01:01:54.377689  7983 net.cpp:113] Setting up inception_5a/3x3
I0506 01:01:54.381253  7983 net.cpp:120] Top shape: 32 320 7 7 (501760)
I0506 01:01:54.381278  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_3x3
I0506 01:01:54.381291  7983 net.cpp:84] Creating Layer inception_5a/relu_3x3
I0506 01:01:54.381299  7983 net.cpp:380] inception_5a/relu_3x3 <- inception_5a/3x3
I0506 01:01:54.381307  7983 net.cpp:327] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I0506 01:01:54.381315  7983 net.cpp:113] Setting up inception_5a/relu_3x3
I0506 01:01:54.381321  7983 net.cpp:120] Top shape: 32 320 7 7 (501760)
I0506 01:01:54.381325  7983 layer_factory.hpp:74] Creating layer inception_5a/5x5_reduce
I0506 01:01:54.381336  7983 net.cpp:84] Creating Layer inception_5a/5x5_reduce
I0506 01:01:54.381341  7983 net.cpp:380] inception_5a/5x5_reduce <- pool4/3x3_s2_pool4/3x3_s2_0_split_2
I0506 01:01:54.381348  7983 net.cpp:338] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I0506 01:01:54.381356  7983 net.cpp:113] Setting up inception_5a/5x5_reduce
I0506 01:01:54.381580  7983 net.cpp:120] Top shape: 32 32 7 7 (50176)
I0506 01:01:54.381592  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_5x5_reduce
I0506 01:01:54.381597  7983 net.cpp:84] Creating Layer inception_5a/relu_5x5_reduce
I0506 01:01:54.381603  7983 net.cpp:380] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I0506 01:01:54.381608  7983 net.cpp:327] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I0506 01:01:54.381613  7983 net.cpp:113] Setting up inception_5a/relu_5x5_reduce
I0506 01:01:54.381619  7983 net.cpp:120] Top shape: 32 32 7 7 (50176)
I0506 01:01:54.381623  7983 layer_factory.hpp:74] Creating layer inception_5a/5x5
I0506 01:01:54.381633  7983 net.cpp:84] Creating Layer inception_5a/5x5
I0506 01:01:54.381639  7983 net.cpp:380] inception_5a/5x5 <- inception_5a/5x5_reduce
I0506 01:01:54.381646  7983 net.cpp:338] inception_5a/5x5 -> inception_5a/5x5
I0506 01:01:54.381654  7983 net.cpp:113] Setting up inception_5a/5x5
I0506 01:01:54.382447  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.382458  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_5x5
I0506 01:01:54.382464  7983 net.cpp:84] Creating Layer inception_5a/relu_5x5
I0506 01:01:54.382470  7983 net.cpp:380] inception_5a/relu_5x5 <- inception_5a/5x5
I0506 01:01:54.382477  7983 net.cpp:327] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I0506 01:01:54.382483  7983 net.cpp:113] Setting up inception_5a/relu_5x5
I0506 01:01:54.382488  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.382493  7983 layer_factory.hpp:74] Creating layer inception_5a/pool
I0506 01:01:54.382498  7983 net.cpp:84] Creating Layer inception_5a/pool
I0506 01:01:54.382503  7983 net.cpp:380] inception_5a/pool <- pool4/3x3_s2_pool4/3x3_s2_0_split_3
I0506 01:01:54.382509  7983 net.cpp:338] inception_5a/pool -> inception_5a/pool
I0506 01:01:54.382515  7983 net.cpp:113] Setting up inception_5a/pool
I0506 01:01:54.382525  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.382530  7983 layer_factory.hpp:74] Creating layer inception_5a/pool_proj
I0506 01:01:54.382539  7983 net.cpp:84] Creating Layer inception_5a/pool_proj
I0506 01:01:54.382544  7983 net.cpp:380] inception_5a/pool_proj <- inception_5a/pool
I0506 01:01:54.382551  7983 net.cpp:338] inception_5a/pool_proj -> inception_5a/pool_proj
I0506 01:01:54.382560  7983 net.cpp:113] Setting up inception_5a/pool_proj
I0506 01:01:54.383385  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.383396  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_pool_proj
I0506 01:01:54.383404  7983 net.cpp:84] Creating Layer inception_5a/relu_pool_proj
I0506 01:01:54.383409  7983 net.cpp:380] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I0506 01:01:54.383414  7983 net.cpp:327] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I0506 01:01:54.383420  7983 net.cpp:113] Setting up inception_5a/relu_pool_proj
I0506 01:01:54.383425  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.383430  7983 layer_factory.hpp:74] Creating layer inception_5a/output
I0506 01:01:54.383436  7983 net.cpp:84] Creating Layer inception_5a/output
I0506 01:01:54.383440  7983 net.cpp:380] inception_5a/output <- inception_5a/1x1
I0506 01:01:54.383445  7983 net.cpp:380] inception_5a/output <- inception_5a/3x3
I0506 01:01:54.383450  7983 net.cpp:380] inception_5a/output <- inception_5a/5x5
I0506 01:01:54.383455  7983 net.cpp:380] inception_5a/output <- inception_5a/pool_proj
I0506 01:01:54.383462  7983 net.cpp:338] inception_5a/output -> inception_5a/output
I0506 01:01:54.383469  7983 net.cpp:113] Setting up inception_5a/output
I0506 01:01:54.383477  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.383481  7983 layer_factory.hpp:74] Creating layer inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.383488  7983 net.cpp:84] Creating Layer inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.383492  7983 net.cpp:380] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I0506 01:01:54.383498  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I0506 01:01:54.383507  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I0506 01:01:54.383515  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I0506 01:01:54.383525  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I0506 01:01:54.383533  7983 net.cpp:113] Setting up inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.383539  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.383544  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.383549  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.383554  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.383558  7983 layer_factory.hpp:74] Creating layer inception_5b/1x1
I0506 01:01:54.383566  7983 net.cpp:84] Creating Layer inception_5b/1x1
I0506 01:01:54.383571  7983 net.cpp:380] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I0506 01:01:54.383577  7983 net.cpp:338] inception_5b/1x1 -> inception_5b/1x1
I0506 01:01:54.383584  7983 net.cpp:113] Setting up inception_5b/1x1
I0506 01:01:54.386051  7983 net.cpp:120] Top shape: 32 384 7 7 (602112)
I0506 01:01:54.386065  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_1x1
I0506 01:01:54.386070  7983 net.cpp:84] Creating Layer inception_5b/relu_1x1
I0506 01:01:54.386075  7983 net.cpp:380] inception_5b/relu_1x1 <- inception_5b/1x1
I0506 01:01:54.386080  7983 net.cpp:327] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I0506 01:01:54.386086  7983 net.cpp:113] Setting up inception_5b/relu_1x1
I0506 01:01:54.386092  7983 net.cpp:120] Top shape: 32 384 7 7 (602112)
I0506 01:01:54.386096  7983 layer_factory.hpp:74] Creating layer inception_5b/3x3_reduce
I0506 01:01:54.386103  7983 net.cpp:84] Creating Layer inception_5b/3x3_reduce
I0506 01:01:54.386108  7983 net.cpp:380] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I0506 01:01:54.386116  7983 net.cpp:338] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I0506 01:01:54.386123  7983 net.cpp:113] Setting up inception_5b/3x3_reduce
I0506 01:01:54.387347  7983 net.cpp:120] Top shape: 32 192 7 7 (301056)
I0506 01:01:54.387358  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_3x3_reduce
I0506 01:01:54.387364  7983 net.cpp:84] Creating Layer inception_5b/relu_3x3_reduce
I0506 01:01:54.387369  7983 net.cpp:380] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I0506 01:01:54.387374  7983 net.cpp:327] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I0506 01:01:54.387380  7983 net.cpp:113] Setting up inception_5b/relu_3x3_reduce
I0506 01:01:54.387387  7983 net.cpp:120] Top shape: 32 192 7 7 (301056)
I0506 01:01:54.387390  7983 layer_factory.hpp:74] Creating layer inception_5b/3x3
I0506 01:01:54.387399  7983 net.cpp:84] Creating Layer inception_5b/3x3
I0506 01:01:54.387403  7983 net.cpp:380] inception_5b/3x3 <- inception_5b/3x3_reduce
I0506 01:01:54.387411  7983 net.cpp:338] inception_5b/3x3 -> inception_5b/3x3
I0506 01:01:54.387434  7983 net.cpp:113] Setting up inception_5b/3x3
I0506 01:01:54.392504  7983 net.cpp:120] Top shape: 32 384 7 7 (602112)
I0506 01:01:54.392520  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_3x3
I0506 01:01:54.392529  7983 net.cpp:84] Creating Layer inception_5b/relu_3x3
I0506 01:01:54.392534  7983 net.cpp:380] inception_5b/relu_3x3 <- inception_5b/3x3
I0506 01:01:54.392540  7983 net.cpp:327] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I0506 01:01:54.392547  7983 net.cpp:113] Setting up inception_5b/relu_3x3
I0506 01:01:54.392555  7983 net.cpp:120] Top shape: 32 384 7 7 (602112)
I0506 01:01:54.392560  7983 layer_factory.hpp:74] Creating layer inception_5b/5x5_reduce
I0506 01:01:54.392567  7983 net.cpp:84] Creating Layer inception_5b/5x5_reduce
I0506 01:01:54.392572  7983 net.cpp:380] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I0506 01:01:54.392580  7983 net.cpp:338] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I0506 01:01:54.392586  7983 net.cpp:113] Setting up inception_5b/5x5_reduce
I0506 01:01:54.392916  7983 net.cpp:120] Top shape: 32 48 7 7 (75264)
I0506 01:01:54.392927  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_5x5_reduce
I0506 01:01:54.392933  7983 net.cpp:84] Creating Layer inception_5b/relu_5x5_reduce
I0506 01:01:54.392938  7983 net.cpp:380] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I0506 01:01:54.392946  7983 net.cpp:327] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I0506 01:01:54.392952  7983 net.cpp:113] Setting up inception_5b/relu_5x5_reduce
I0506 01:01:54.392957  7983 net.cpp:120] Top shape: 32 48 7 7 (75264)
I0506 01:01:54.392961  7983 layer_factory.hpp:74] Creating layer inception_5b/5x5
I0506 01:01:54.392969  7983 net.cpp:84] Creating Layer inception_5b/5x5
I0506 01:01:54.392973  7983 net.cpp:380] inception_5b/5x5 <- inception_5b/5x5_reduce
I0506 01:01:54.392979  7983 net.cpp:338] inception_5b/5x5 -> inception_5b/5x5
I0506 01:01:54.392987  7983 net.cpp:113] Setting up inception_5b/5x5
I0506 01:01:54.394357  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.394371  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_5x5
I0506 01:01:54.394376  7983 net.cpp:84] Creating Layer inception_5b/relu_5x5
I0506 01:01:54.394381  7983 net.cpp:380] inception_5b/relu_5x5 <- inception_5b/5x5
I0506 01:01:54.394387  7983 net.cpp:327] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I0506 01:01:54.394393  7983 net.cpp:113] Setting up inception_5b/relu_5x5
I0506 01:01:54.394399  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.394403  7983 layer_factory.hpp:74] Creating layer inception_5b/pool
I0506 01:01:54.394410  7983 net.cpp:84] Creating Layer inception_5b/pool
I0506 01:01:54.394414  7983 net.cpp:380] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I0506 01:01:54.394423  7983 net.cpp:338] inception_5b/pool -> inception_5b/pool
I0506 01:01:54.394430  7983 net.cpp:113] Setting up inception_5b/pool
I0506 01:01:54.394440  7983 net.cpp:120] Top shape: 32 832 7 7 (1304576)
I0506 01:01:54.394446  7983 layer_factory.hpp:74] Creating layer inception_5b/pool_proj
I0506 01:01:54.394454  7983 net.cpp:84] Creating Layer inception_5b/pool_proj
I0506 01:01:54.394459  7983 net.cpp:380] inception_5b/pool_proj <- inception_5b/pool
I0506 01:01:54.394466  7983 net.cpp:338] inception_5b/pool_proj -> inception_5b/pool_proj
I0506 01:01:54.394474  7983 net.cpp:113] Setting up inception_5b/pool_proj
I0506 01:01:54.395445  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.395458  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_pool_proj
I0506 01:01:54.395467  7983 net.cpp:84] Creating Layer inception_5b/relu_pool_proj
I0506 01:01:54.395472  7983 net.cpp:380] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I0506 01:01:54.395478  7983 net.cpp:327] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I0506 01:01:54.395483  7983 net.cpp:113] Setting up inception_5b/relu_pool_proj
I0506 01:01:54.395489  7983 net.cpp:120] Top shape: 32 128 7 7 (200704)
I0506 01:01:54.395493  7983 layer_factory.hpp:74] Creating layer inception_5b/output
I0506 01:01:54.395500  7983 net.cpp:84] Creating Layer inception_5b/output
I0506 01:01:54.395506  7983 net.cpp:380] inception_5b/output <- inception_5b/1x1
I0506 01:01:54.395511  7983 net.cpp:380] inception_5b/output <- inception_5b/3x3
I0506 01:01:54.395516  7983 net.cpp:380] inception_5b/output <- inception_5b/5x5
I0506 01:01:54.395520  7983 net.cpp:380] inception_5b/output <- inception_5b/pool_proj
I0506 01:01:54.395526  7983 net.cpp:338] inception_5b/output -> inception_5b/output
I0506 01:01:54.395534  7983 net.cpp:113] Setting up inception_5b/output
I0506 01:01:54.395541  7983 net.cpp:120] Top shape: 32 1024 7 7 (1605632)
I0506 01:01:54.395545  7983 layer_factory.hpp:74] Creating layer pool5/7x7_s1
I0506 01:01:54.395552  7983 net.cpp:84] Creating Layer pool5/7x7_s1
I0506 01:01:54.395556  7983 net.cpp:380] pool5/7x7_s1 <- inception_5b/output
I0506 01:01:54.395563  7983 net.cpp:338] pool5/7x7_s1 -> pool5/7x7_s1
I0506 01:01:54.395571  7983 net.cpp:113] Setting up pool5/7x7_s1
I0506 01:01:54.395578  7983 net.cpp:120] Top shape: 32 1024 1 1 (32768)
I0506 01:01:54.395582  7983 layer_factory.hpp:74] Creating layer pool5/drop_7x7_s1
I0506 01:01:54.395589  7983 net.cpp:84] Creating Layer pool5/drop_7x7_s1
I0506 01:01:54.395594  7983 net.cpp:380] pool5/drop_7x7_s1 <- pool5/7x7_s1
I0506 01:01:54.395599  7983 net.cpp:327] pool5/drop_7x7_s1 -> pool5/7x7_s1 (in-place)
I0506 01:01:54.395606  7983 net.cpp:113] Setting up pool5/drop_7x7_s1
I0506 01:01:54.395615  7983 net.cpp:120] Top shape: 32 1024 1 1 (32768)
I0506 01:01:54.395622  7983 layer_factory.hpp:74] Creating layer loss3/classifier
I0506 01:01:54.395629  7983 net.cpp:84] Creating Layer loss3/classifier
I0506 01:01:54.395633  7983 net.cpp:380] loss3/classifier <- pool5/7x7_s1
I0506 01:01:54.395640  7983 net.cpp:338] loss3/classifier -> loss3/classifier
I0506 01:01:54.395648  7983 net.cpp:113] Setting up loss3/classifier
I0506 01:01:54.395706  7983 net.cpp:120] Top shape: 32 6 (192)
I0506 01:01:54.395715  7983 layer_factory.hpp:74] Creating layer loss3/loss3
I0506 01:01:54.395722  7983 net.cpp:84] Creating Layer loss3/loss3
I0506 01:01:54.395727  7983 net.cpp:380] loss3/loss3 <- loss3/classifier
I0506 01:01:54.395733  7983 net.cpp:380] loss3/loss3 <- label_data_1_split_2
I0506 01:01:54.395740  7983 net.cpp:338] loss3/loss3 -> loss3/loss3
I0506 01:01:54.395746  7983 net.cpp:113] Setting up loss3/loss3
I0506 01:01:54.395752  7983 layer_factory.hpp:74] Creating layer loss3/loss3
I0506 01:01:54.395769  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.395776  7983 net.cpp:122]     with loss weight 1
I0506 01:01:54.395789  7983 net.cpp:167] loss3/loss3 needs backward computation.
I0506 01:01:54.395797  7983 net.cpp:167] loss3/classifier needs backward computation.
I0506 01:01:54.395800  7983 net.cpp:167] pool5/drop_7x7_s1 needs backward computation.
I0506 01:01:54.395804  7983 net.cpp:167] pool5/7x7_s1 needs backward computation.
I0506 01:01:54.395808  7983 net.cpp:167] inception_5b/output needs backward computation.
I0506 01:01:54.395813  7983 net.cpp:167] inception_5b/relu_pool_proj needs backward computation.
I0506 01:01:54.395817  7983 net.cpp:167] inception_5b/pool_proj needs backward computation.
I0506 01:01:54.395820  7983 net.cpp:167] inception_5b/pool needs backward computation.
I0506 01:01:54.395825  7983 net.cpp:167] inception_5b/relu_5x5 needs backward computation.
I0506 01:01:54.395828  7983 net.cpp:167] inception_5b/5x5 needs backward computation.
I0506 01:01:54.395833  7983 net.cpp:167] inception_5b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.395836  7983 net.cpp:167] inception_5b/5x5_reduce needs backward computation.
I0506 01:01:54.395840  7983 net.cpp:167] inception_5b/relu_3x3 needs backward computation.
I0506 01:01:54.395844  7983 net.cpp:167] inception_5b/3x3 needs backward computation.
I0506 01:01:54.395848  7983 net.cpp:167] inception_5b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.395853  7983 net.cpp:167] inception_5b/3x3_reduce needs backward computation.
I0506 01:01:54.395856  7983 net.cpp:167] inception_5b/relu_1x1 needs backward computation.
I0506 01:01:54.395860  7983 net.cpp:167] inception_5b/1x1 needs backward computation.
I0506 01:01:54.395864  7983 net.cpp:167] inception_5a/output_inception_5a/output_0_split needs backward computation.
I0506 01:01:54.395869  7983 net.cpp:167] inception_5a/output needs backward computation.
I0506 01:01:54.395874  7983 net.cpp:167] inception_5a/relu_pool_proj needs backward computation.
I0506 01:01:54.395879  7983 net.cpp:167] inception_5a/pool_proj needs backward computation.
I0506 01:01:54.395882  7983 net.cpp:167] inception_5a/pool needs backward computation.
I0506 01:01:54.395886  7983 net.cpp:167] inception_5a/relu_5x5 needs backward computation.
I0506 01:01:54.395890  7983 net.cpp:167] inception_5a/5x5 needs backward computation.
I0506 01:01:54.395895  7983 net.cpp:167] inception_5a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.395900  7983 net.cpp:167] inception_5a/5x5_reduce needs backward computation.
I0506 01:01:54.395903  7983 net.cpp:167] inception_5a/relu_3x3 needs backward computation.
I0506 01:01:54.395908  7983 net.cpp:167] inception_5a/3x3 needs backward computation.
I0506 01:01:54.395912  7983 net.cpp:167] inception_5a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.395916  7983 net.cpp:167] inception_5a/3x3_reduce needs backward computation.
I0506 01:01:54.395920  7983 net.cpp:167] inception_5a/relu_1x1 needs backward computation.
I0506 01:01:54.395925  7983 net.cpp:167] inception_5a/1x1 needs backward computation.
I0506 01:01:54.395928  7983 net.cpp:167] pool4/3x3_s2_pool4/3x3_s2_0_split needs backward computation.
I0506 01:01:54.395933  7983 net.cpp:167] pool4/3x3_s2 needs backward computation.
I0506 01:01:54.395937  7983 net.cpp:167] inception_4e/output needs backward computation.
I0506 01:01:54.395943  7983 net.cpp:167] inception_4e/relu_pool_proj needs backward computation.
I0506 01:01:54.395947  7983 net.cpp:167] inception_4e/pool_proj needs backward computation.
I0506 01:01:54.395952  7983 net.cpp:167] inception_4e/pool needs backward computation.
I0506 01:01:54.395956  7983 net.cpp:167] inception_4e/relu_5x5 needs backward computation.
I0506 01:01:54.395961  7983 net.cpp:167] inception_4e/5x5 needs backward computation.
I0506 01:01:54.395967  7983 net.cpp:167] inception_4e/relu_5x5_reduce needs backward computation.
I0506 01:01:54.395970  7983 net.cpp:167] inception_4e/5x5_reduce needs backward computation.
I0506 01:01:54.395975  7983 net.cpp:167] inception_4e/relu_3x3 needs backward computation.
I0506 01:01:54.395979  7983 net.cpp:167] inception_4e/3x3 needs backward computation.
I0506 01:01:54.395983  7983 net.cpp:167] inception_4e/relu_3x3_reduce needs backward computation.
I0506 01:01:54.395987  7983 net.cpp:167] inception_4e/3x3_reduce needs backward computation.
I0506 01:01:54.395992  7983 net.cpp:167] inception_4e/relu_1x1 needs backward computation.
I0506 01:01:54.395997  7983 net.cpp:167] inception_4e/1x1 needs backward computation.
I0506 01:01:54.396000  7983 net.cpp:167] loss2/loss needs backward computation.
I0506 01:01:54.396005  7983 net.cpp:167] loss2/classifier needs backward computation.
I0506 01:01:54.396010  7983 net.cpp:167] loss2/drop_fc needs backward computation.
I0506 01:01:54.396014  7983 net.cpp:167] loss2/relu_fc needs backward computation.
I0506 01:01:54.396018  7983 net.cpp:167] loss2/fc needs backward computation.
I0506 01:01:54.396023  7983 net.cpp:167] loss2/relu_conv needs backward computation.
I0506 01:01:54.396028  7983 net.cpp:167] loss2/conv needs backward computation.
I0506 01:01:54.396031  7983 net.cpp:167] loss2/ave_pool needs backward computation.
I0506 01:01:54.396036  7983 net.cpp:167] inception_4d/output_inception_4d/output_0_split needs backward computation.
I0506 01:01:54.396040  7983 net.cpp:167] inception_4d/output needs backward computation.
I0506 01:01:54.396046  7983 net.cpp:167] inception_4d/relu_pool_proj needs backward computation.
I0506 01:01:54.396050  7983 net.cpp:167] inception_4d/pool_proj needs backward computation.
I0506 01:01:54.396055  7983 net.cpp:167] inception_4d/pool needs backward computation.
I0506 01:01:54.396059  7983 net.cpp:167] inception_4d/relu_5x5 needs backward computation.
I0506 01:01:54.396064  7983 net.cpp:167] inception_4d/5x5 needs backward computation.
I0506 01:01:54.396069  7983 net.cpp:167] inception_4d/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396073  7983 net.cpp:167] inception_4d/5x5_reduce needs backward computation.
I0506 01:01:54.396077  7983 net.cpp:167] inception_4d/relu_3x3 needs backward computation.
I0506 01:01:54.396081  7983 net.cpp:167] inception_4d/3x3 needs backward computation.
I0506 01:01:54.396086  7983 net.cpp:167] inception_4d/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396090  7983 net.cpp:167] inception_4d/3x3_reduce needs backward computation.
I0506 01:01:54.396095  7983 net.cpp:167] inception_4d/relu_1x1 needs backward computation.
I0506 01:01:54.396100  7983 net.cpp:167] inception_4d/1x1 needs backward computation.
I0506 01:01:54.396103  7983 net.cpp:167] inception_4c/output_inception_4c/output_0_split needs backward computation.
I0506 01:01:54.396108  7983 net.cpp:167] inception_4c/output needs backward computation.
I0506 01:01:54.396114  7983 net.cpp:167] inception_4c/relu_pool_proj needs backward computation.
I0506 01:01:54.396118  7983 net.cpp:167] inception_4c/pool_proj needs backward computation.
I0506 01:01:54.396122  7983 net.cpp:167] inception_4c/pool needs backward computation.
I0506 01:01:54.396127  7983 net.cpp:167] inception_4c/relu_5x5 needs backward computation.
I0506 01:01:54.396131  7983 net.cpp:167] inception_4c/5x5 needs backward computation.
I0506 01:01:54.396136  7983 net.cpp:167] inception_4c/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396139  7983 net.cpp:167] inception_4c/5x5_reduce needs backward computation.
I0506 01:01:54.396144  7983 net.cpp:167] inception_4c/relu_3x3 needs backward computation.
I0506 01:01:54.396148  7983 net.cpp:167] inception_4c/3x3 needs backward computation.
I0506 01:01:54.396153  7983 net.cpp:167] inception_4c/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396157  7983 net.cpp:167] inception_4c/3x3_reduce needs backward computation.
I0506 01:01:54.396162  7983 net.cpp:167] inception_4c/relu_1x1 needs backward computation.
I0506 01:01:54.396167  7983 net.cpp:167] inception_4c/1x1 needs backward computation.
I0506 01:01:54.396170  7983 net.cpp:167] inception_4b/output_inception_4b/output_0_split needs backward computation.
I0506 01:01:54.396174  7983 net.cpp:167] inception_4b/output needs backward computation.
I0506 01:01:54.396180  7983 net.cpp:167] inception_4b/relu_pool_proj needs backward computation.
I0506 01:01:54.396184  7983 net.cpp:167] inception_4b/pool_proj needs backward computation.
I0506 01:01:54.396188  7983 net.cpp:167] inception_4b/pool needs backward computation.
I0506 01:01:54.396193  7983 net.cpp:167] inception_4b/relu_5x5 needs backward computation.
I0506 01:01:54.396198  7983 net.cpp:167] inception_4b/5x5 needs backward computation.
I0506 01:01:54.396201  7983 net.cpp:167] inception_4b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396205  7983 net.cpp:167] inception_4b/5x5_reduce needs backward computation.
I0506 01:01:54.396210  7983 net.cpp:167] inception_4b/relu_3x3 needs backward computation.
I0506 01:01:54.396214  7983 net.cpp:167] inception_4b/3x3 needs backward computation.
I0506 01:01:54.396219  7983 net.cpp:167] inception_4b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396222  7983 net.cpp:167] inception_4b/3x3_reduce needs backward computation.
I0506 01:01:54.396227  7983 net.cpp:167] inception_4b/relu_1x1 needs backward computation.
I0506 01:01:54.396231  7983 net.cpp:167] inception_4b/1x1 needs backward computation.
I0506 01:01:54.396235  7983 net.cpp:167] loss1/loss needs backward computation.
I0506 01:01:54.396240  7983 net.cpp:167] loss1/classifier needs backward computation.
I0506 01:01:54.396245  7983 net.cpp:167] loss1/drop_fc needs backward computation.
I0506 01:01:54.396250  7983 net.cpp:167] loss1/relu_fc needs backward computation.
I0506 01:01:54.396253  7983 net.cpp:167] loss1/fc needs backward computation.
I0506 01:01:54.396257  7983 net.cpp:167] loss1/relu_conv needs backward computation.
I0506 01:01:54.396262  7983 net.cpp:167] loss1/conv needs backward computation.
I0506 01:01:54.396268  7983 net.cpp:167] loss1/ave_pool needs backward computation.
I0506 01:01:54.396273  7983 net.cpp:167] inception_4a/output_inception_4a/output_0_split needs backward computation.
I0506 01:01:54.396278  7983 net.cpp:167] inception_4a/output needs backward computation.
I0506 01:01:54.396283  7983 net.cpp:167] inception_4a/relu_pool_proj needs backward computation.
I0506 01:01:54.396287  7983 net.cpp:167] inception_4a/pool_proj needs backward computation.
I0506 01:01:54.396292  7983 net.cpp:167] inception_4a/pool needs backward computation.
I0506 01:01:54.396296  7983 net.cpp:167] inception_4a/relu_5x5 needs backward computation.
I0506 01:01:54.396301  7983 net.cpp:167] inception_4a/5x5 needs backward computation.
I0506 01:01:54.396306  7983 net.cpp:167] inception_4a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396311  7983 net.cpp:167] inception_4a/5x5_reduce needs backward computation.
I0506 01:01:54.396314  7983 net.cpp:167] inception_4a/relu_3x3 needs backward computation.
I0506 01:01:54.396318  7983 net.cpp:167] inception_4a/3x3 needs backward computation.
I0506 01:01:54.396323  7983 net.cpp:167] inception_4a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396327  7983 net.cpp:167] inception_4a/3x3_reduce needs backward computation.
I0506 01:01:54.396332  7983 net.cpp:167] inception_4a/relu_1x1 needs backward computation.
I0506 01:01:54.396337  7983 net.cpp:167] inception_4a/1x1 needs backward computation.
I0506 01:01:54.396340  7983 net.cpp:167] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I0506 01:01:54.396345  7983 net.cpp:167] pool3/3x3_s2 needs backward computation.
I0506 01:01:54.396349  7983 net.cpp:167] inception_3b/output needs backward computation.
I0506 01:01:54.396355  7983 net.cpp:167] inception_3b/relu_pool_proj needs backward computation.
I0506 01:01:54.396359  7983 net.cpp:167] inception_3b/pool_proj needs backward computation.
I0506 01:01:54.396363  7983 net.cpp:167] inception_3b/pool needs backward computation.
I0506 01:01:54.396368  7983 net.cpp:167] inception_3b/relu_5x5 needs backward computation.
I0506 01:01:54.396373  7983 net.cpp:167] inception_3b/5x5 needs backward computation.
I0506 01:01:54.396376  7983 net.cpp:167] inception_3b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396380  7983 net.cpp:167] inception_3b/5x5_reduce needs backward computation.
I0506 01:01:54.396385  7983 net.cpp:167] inception_3b/relu_3x3 needs backward computation.
I0506 01:01:54.396389  7983 net.cpp:167] inception_3b/3x3 needs backward computation.
I0506 01:01:54.396394  7983 net.cpp:167] inception_3b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396397  7983 net.cpp:167] inception_3b/3x3_reduce needs backward computation.
I0506 01:01:54.396402  7983 net.cpp:167] inception_3b/relu_1x1 needs backward computation.
I0506 01:01:54.396406  7983 net.cpp:167] inception_3b/1x1 needs backward computation.
I0506 01:01:54.396410  7983 net.cpp:167] inception_3a/output_inception_3a/output_0_split needs backward computation.
I0506 01:01:54.396414  7983 net.cpp:167] inception_3a/output needs backward computation.
I0506 01:01:54.396420  7983 net.cpp:167] inception_3a/relu_pool_proj needs backward computation.
I0506 01:01:54.396425  7983 net.cpp:167] inception_3a/pool_proj needs backward computation.
I0506 01:01:54.396430  7983 net.cpp:167] inception_3a/pool needs backward computation.
I0506 01:01:54.396433  7983 net.cpp:167] inception_3a/relu_5x5 needs backward computation.
I0506 01:01:54.396437  7983 net.cpp:167] inception_3a/5x5 needs backward computation.
I0506 01:01:54.396442  7983 net.cpp:167] inception_3a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.396448  7983 net.cpp:167] inception_3a/5x5_reduce needs backward computation.
I0506 01:01:54.396453  7983 net.cpp:167] inception_3a/relu_3x3 needs backward computation.
I0506 01:01:54.396457  7983 net.cpp:167] inception_3a/3x3 needs backward computation.
I0506 01:01:54.396462  7983 net.cpp:167] inception_3a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396466  7983 net.cpp:167] inception_3a/3x3_reduce needs backward computation.
I0506 01:01:54.396471  7983 net.cpp:167] inception_3a/relu_1x1 needs backward computation.
I0506 01:01:54.396476  7983 net.cpp:167] inception_3a/1x1 needs backward computation.
I0506 01:01:54.396481  7983 net.cpp:167] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I0506 01:01:54.396484  7983 net.cpp:167] pool2/3x3_s2 needs backward computation.
I0506 01:01:54.396489  7983 net.cpp:167] conv2/norm2 needs backward computation.
I0506 01:01:54.396493  7983 net.cpp:167] conv2/relu_3x3 needs backward computation.
I0506 01:01:54.396497  7983 net.cpp:167] conv2/3x3 needs backward computation.
I0506 01:01:54.396502  7983 net.cpp:167] conv2/relu_3x3_reduce needs backward computation.
I0506 01:01:54.396507  7983 net.cpp:167] conv2/3x3_reduce needs backward computation.
I0506 01:01:54.396512  7983 net.cpp:167] pool1/norm1 needs backward computation.
I0506 01:01:54.396515  7983 net.cpp:167] pool1/3x3_s2 needs backward computation.
I0506 01:01:54.396520  7983 net.cpp:167] conv1/relu_7x7 needs backward computation.
I0506 01:01:54.396524  7983 net.cpp:167] conv1/7x7_s2 needs backward computation.
I0506 01:01:54.396528  7983 net.cpp:169] label_data_1_split does not need backward computation.
I0506 01:01:54.396533  7983 net.cpp:169] data does not need backward computation.
I0506 01:01:54.396538  7983 net.cpp:205] This network produces output loss1/loss1
I0506 01:01:54.396543  7983 net.cpp:205] This network produces output loss2/loss1
I0506 01:01:54.396548  7983 net.cpp:205] This network produces output loss3/loss3
I0506 01:01:54.396678  7983 net.cpp:447] Collecting Learning Rate and Weight Decay.
I0506 01:01:54.396702  7983 net.cpp:217] Network initialization done.
I0506 01:01:54.396708  7983 net.cpp:218] Memory required for data: 1794710284
I0506 01:01:54.401115  7983 solver.cpp:154] Creating test net (#0) specified by net file: models/bvlc_googlenet/train_val.prototxt
I0506 01:01:54.401314  7983 net.cpp:257] The NetState phase (1) differed from the phase (0) specified by a rule in layer data
I0506 01:01:54.402534  7983 net.cpp:42] Initializing net from parameters: 
name: "GoogleNet"
state {
  phase: TEST
}
layer {
  name: "data"
  type: "Data"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    mirror: false
    crop_size: 224
    mean_file: "models/bvlc_googlenet/ADS64Aug_mean.binaryproto"
  }
  data_param {
    source: "models/bvlc_googlenet/ADS64_val_lmdb"
    batch_size: 16
    backend: LMDB
  }
}
layer {
  name: "conv1/7x7_s2"
  type: "Convolution"
  bottom: "data"
  top: "conv1/7x7_s2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 3
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv1/relu_7x7"
  type: "ReLU"
  bottom: "conv1/7x7_s2"
  top: "conv1/7x7_s2"
}
layer {
  name: "pool1/3x3_s2"
  type: "Pooling"
  bottom: "conv1/7x7_s2"
  top: "pool1/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "pool1/norm1"
  type: "LRN"
  bottom: "pool1/3x3_s2"
  top: "pool1/norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2/3x3_reduce"
  type: "Convolution"
  bottom: "pool1/norm1"
  top: "conv2/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv2/relu_3x3_reduce"
  type: "ReLU"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3_reduce"
}
layer {
  name: "conv2/3x3"
  type: "Convolution"
  bottom: "conv2/3x3_reduce"
  top: "conv2/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "conv2/relu_3x3"
  type: "ReLU"
  bottom: "conv2/3x3"
  top: "conv2/3x3"
}
layer {
  name: "conv2/norm2"
  type: "LRN"
  bottom: "conv2/3x3"
  top: "conv2/norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "pool2/3x3_s2"
  type: "Pooling"
  bottom: "conv2/norm2"
  top: "pool2/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_3a/1x1"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_1x1"
  type: "ReLU"
  bottom: "inception_3a/1x1"
  top: "inception_3a/1x1"
}
layer {
  name: "inception_3a/3x3_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3_reduce"
}
layer {
  name: "inception_3a/3x3"
  type: "Convolution"
  bottom: "inception_3a/3x3_reduce"
  top: "inception_3a/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_3x3"
  type: "ReLU"
  bottom: "inception_3a/3x3"
  top: "inception_3a/3x3"
}
layer {
  name: "inception_3a/5x5_reduce"
  type: "Convolution"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_3a/5x5_reduce"
  top: "inception_3a/5x5_reduce"
}
layer {
  name: "inception_3a/5x5"
  type: "Convolution"
  bottom: "inception_3a/5x5_reduce"
  top: "inception_3a/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_5x5"
  type: "ReLU"
  bottom: "inception_3a/5x5"
  top: "inception_3a/5x5"
}
layer {
  name: "inception_3a/pool"
  type: "Pooling"
  bottom: "pool2/3x3_s2"
  top: "inception_3a/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3a/pool_proj"
  type: "Convolution"
  bottom: "inception_3a/pool"
  top: "inception_3a/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/pool_proj"
}
layer {
  name: "inception_3a/output"
  type: "Concat"
  bottom: "inception_3a/1x1"
  bottom: "inception_3a/3x3"
  bottom: "inception_3a/5x5"
  bottom: "inception_3a/pool_proj"
  top: "inception_3a/output"
}
layer {
  name: "inception_3b/1x1"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_1x1"
  type: "ReLU"
  bottom: "inception_3b/1x1"
  top: "inception_3b/1x1"
}
layer {
  name: "inception_3b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3_reduce"
}
layer {
  name: "inception_3b/3x3"
  type: "Convolution"
  bottom: "inception_3b/3x3_reduce"
  top: "inception_3b/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_3x3"
  type: "ReLU"
  bottom: "inception_3b/3x3"
  top: "inception_3b/3x3"
}
layer {
  name: "inception_3b/5x5_reduce"
  type: "Convolution"
  bottom: "inception_3a/output"
  top: "inception_3b/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_3b/5x5_reduce"
  top: "inception_3b/5x5_reduce"
}
layer {
  name: "inception_3b/5x5"
  type: "Convolution"
  bottom: "inception_3b/5x5_reduce"
  top: "inception_3b/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_5x5"
  type: "ReLU"
  bottom: "inception_3b/5x5"
  top: "inception_3b/5x5"
}
layer {
  name: "inception_3b/pool"
  type: "Pooling"
  bottom: "inception_3a/output"
  top: "inception_3b/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_3b/pool_proj"
  type: "Convolution"
  bottom: "inception_3b/pool"
  top: "inception_3b/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_3b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/pool_proj"
}
layer {
  name: "inception_3b/output"
  type: "Concat"
  bottom: "inception_3b/1x1"
  bottom: "inception_3b/3x3"
  bottom: "inception_3b/5x5"
  bottom: "inception_3b/pool_proj"
  top: "inception_3b/output"
}
layer {
  name: "pool3/3x3_s2"
  type: "Pooling"
  bottom: "inception_3b/output"
  top: "pool3/3x3_s2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "inception_4a/1x1"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 192
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_1x1"
  type: "ReLU"
  bottom: "inception_4a/1x1"
  top: "inception_4a/1x1"
}
layer {
  name: "inception_4a/3x3_reduce"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 96
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3_reduce"
}
layer {
  name: "inception_4a/3x3"
  type: "Convolution"
  bottom: "inception_4a/3x3_reduce"
  top: "inception_4a/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 208
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_3x3"
  type: "ReLU"
  bottom: "inception_4a/3x3"
  top: "inception_4a/3x3"
}
layer {
  name: "inception_4a/5x5_reduce"
  type: "Convolution"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 16
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4a/5x5_reduce"
  top: "inception_4a/5x5_reduce"
}
layer {
  name: "inception_4a/5x5"
  type: "Convolution"
  bottom: "inception_4a/5x5_reduce"
  top: "inception_4a/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 48
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_5x5"
  type: "ReLU"
  bottom: "inception_4a/5x5"
  top: "inception_4a/5x5"
}
layer {
  name: "inception_4a/pool"
  type: "Pooling"
  bottom: "pool3/3x3_s2"
  top: "inception_4a/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4a/pool_proj"
  type: "Convolution"
  bottom: "inception_4a/pool"
  top: "inception_4a/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4a/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/pool_proj"
}
layer {
  name: "inception_4a/output"
  type: "Concat"
  bottom: "inception_4a/1x1"
  bottom: "inception_4a/3x3"
  bottom: "inception_4a/5x5"
  bottom: "inception_4a/pool_proj"
  top: "inception_4a/output"
}
layer {
  name: "loss1/ave_pool"
  type: "Pooling"
  bottom: "inception_4a/output"
  top: "loss1/ave_pool"
  pooling_param {
    pool: AVE
    kernel_size: 5
    stride: 3
  }
}
layer {
  name: "loss1/conv"
  type: "Convolution"
  bottom: "loss1/ave_pool"
  top: "loss1/conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.08
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss1/relu_conv"
  type: "ReLU"
  bottom: "loss1/conv"
  top: "loss1/conv"
}
layer {
  name: "loss1/fc"
  type: "InnerProduct"
  bottom: "loss1/conv"
  top: "loss1/fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1024
    weight_filler {
      type: "xavier"
      std: 0.02
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss1/relu_fc"
  type: "ReLU"
  bottom: "loss1/fc"
  top: "loss1/fc"
}
layer {
  name: "loss1/drop_fc"
  type: "Dropout"
  bottom: "loss1/fc"
  top: "loss1/fc"
  dropout_param {
    dropout_ratio: 0.7
  }
}
layer {
  name: "loss1/classifier"
  type: "InnerProduct"
  bottom: "loss1/fc"
  top: "loss1/classifier"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 6
    weight_filler {
      type: "xavier"
      std: 0.0009765625
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss1/loss"
  type: "SoftmaxWithLoss"
  bottom: "loss1/classifier"
  bottom: "label"
  top: "loss1/loss1"
  loss_weight: 0.3
}
layer {
  name: "loss1/top-1"
  type: "Accuracy"
  bottom: "loss1/classifier"
  bottom: "label"
  top: "loss1/top-1"
  include {
    phase: TEST
  }
}
layer {
  name: "loss1/top-2"
  type: "Accuracy"
  bottom: "loss1/classifier"
  bottom: "label"
  top: "loss1/top-2"
  include {
    phase: TEST
  }
  accuracy_param {
    top_k: 2
  }
}
layer {
  name: "inception_4b/1x1"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 160
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_1x1"
  type: "ReLU"
  bottom: "inception_4b/1x1"
  top: "inception_4b/1x1"
}
layer {
  name: "inception_4b/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 112
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3_reduce"
}
layer {
  name: "inception_4b/3x3"
  type: "Convolution"
  bottom: "inception_4b/3x3_reduce"
  top: "inception_4b/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 224
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_3x3"
  type: "ReLU"
  bottom: "inception_4b/3x3"
  top: "inception_4b/3x3"
}
layer {
  name: "inception_4b/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4a/output"
  top: "inception_4b/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 24
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4b/5x5_reduce"
  top: "inception_4b/5x5_reduce"
}
layer {
  name: "inception_4b/5x5"
  type: "Convolution"
  bottom: "inception_4b/5x5_reduce"
  top: "inception_4b/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_5x5"
  type: "ReLU"
  bottom: "inception_4b/5x5"
  top: "inception_4b/5x5"
}
layer {
  name: "inception_4b/pool"
  type: "Pooling"
  bottom: "inception_4a/output"
  top: "inception_4b/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4b/pool_proj"
  type: "Convolution"
  bottom: "inception_4b/pool"
  top: "inception_4b/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4b/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/pool_proj"
}
layer {
  name: "inception_4b/output"
  type: "Concat"
  bottom: "inception_4b/1x1"
  bottom: "inception_4b/3x3"
  bottom: "inception_4b/5x5"
  bottom: "inception_4b/pool_proj"
  top: "inception_4b/output"
}
layer {
  name: "inception_4c/1x1"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_1x1"
  type: "ReLU"
  bottom: "inception_4c/1x1"
  top: "inception_4c/1x1"
}
layer {
  name: "inception_4c/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3_reduce"
}
layer {
  name: "inception_4c/3x3"
  type: "Convolution"
  bottom: "inception_4c/3x3_reduce"
  top: "inception_4c/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_3x3"
  type: "ReLU"
  bottom: "inception_4c/3x3"
  top: "inception_4c/3x3"
}
layer {
  name: "inception_4c/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4b/output"
  top: "inception_4c/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 24
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4c/5x5_reduce"
  top: "inception_4c/5x5_reduce"
}
layer {
  name: "inception_4c/5x5"
  type: "Convolution"
  bottom: "inception_4c/5x5_reduce"
  top: "inception_4c/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_5x5"
  type: "ReLU"
  bottom: "inception_4c/5x5"
  top: "inception_4c/5x5"
}
layer {
  name: "inception_4c/pool"
  type: "Pooling"
  bottom: "inception_4b/output"
  top: "inception_4c/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4c/pool_proj"
  type: "Convolution"
  bottom: "inception_4c/pool"
  top: "inception_4c/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4c/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/pool_proj"
}
layer {
  name: "inception_4c/output"
  type: "Concat"
  bottom: "inception_4c/1x1"
  bottom: "inception_4c/3x3"
  bottom: "inception_4c/5x5"
  bottom: "inception_4c/pool_proj"
  top: "inception_4c/output"
}
layer {
  name: "inception_4d/1x1"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 112
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_1x1"
  type: "ReLU"
  bottom: "inception_4d/1x1"
  top: "inception_4d/1x1"
}
layer {
  name: "inception_4d/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 144
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3_reduce"
}
layer {
  name: "inception_4d/3x3"
  type: "Convolution"
  bottom: "inception_4d/3x3_reduce"
  top: "inception_4d/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 288
    pad: 1
    kernel_size: 3
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_3x3"
  type: "ReLU"
  bottom: "inception_4d/3x3"
  top: "inception_4d/3x3"
}
layer {
  name: "inception_4d/5x5_reduce"
  type: "Convolution"
  bottom: "inception_4c/output"
  top: "inception_4d/5x5_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 32
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.2
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_5x5_reduce"
  type: "ReLU"
  bottom: "inception_4d/5x5_reduce"
  top: "inception_4d/5x5_reduce"
}
layer {
  name: "inception_4d/5x5"
  type: "Convolution"
  bottom: "inception_4d/5x5_reduce"
  top: "inception_4d/5x5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 2
    kernel_size: 5
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_5x5"
  type: "ReLU"
  bottom: "inception_4d/5x5"
  top: "inception_4d/5x5"
}
layer {
  name: "inception_4d/pool"
  type: "Pooling"
  bottom: "inception_4c/output"
  top: "inception_4d/pool"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 1
    pad: 1
  }
}
layer {
  name: "inception_4d/pool_proj"
  type: "Convolution"
  bottom: "inception_4d/pool"
  top: "inception_4d/pool_proj"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4d/relu_pool_proj"
  type: "ReLU"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/pool_proj"
}
layer {
  name: "inception_4d/output"
  type: "Concat"
  bottom: "inception_4d/1x1"
  bottom: "inception_4d/3x3"
  bottom: "inception_4d/5x5"
  bottom: "inception_4d/pool_proj"
  top: "inception_4d/output"
}
layer {
  name: "loss2/ave_pool"
  type: "Pooling"
  bottom: "inception_4d/output"
  top: "loss2/ave_pool"
  pooling_param {
    pool: AVE
    kernel_size: 5
    stride: 3
  }
}
layer {
  name: "loss2/conv"
  type: "Convolution"
  bottom: "loss2/ave_pool"
  top: "loss2/conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.08
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss2/relu_conv"
  type: "ReLU"
  bottom: "loss2/conv"
  top: "loss2/conv"
}
layer {
  name: "loss2/fc"
  type: "InnerProduct"
  bottom: "loss2/conv"
  top: "loss2/fc"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 1024
    weight_filler {
      type: "xavier"
      std: 0.02
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "loss2/relu_fc"
  type: "ReLU"
  bottom: "loss2/fc"
  top: "loss2/fc"
}
layer {
  name: "loss2/drop_fc"
  type: "Dropout"
  bottom: "loss2/fc"
  top: "loss2/fc"
  dropout_param {
    dropout_ratio: 0.7
  }
}
layer {
  name: "loss2/classifier"
  type: "InnerProduct"
  bottom: "loss2/fc"
  top: "loss2/classifier"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  inner_product_param {
    num_output: 6
    weight_filler {
      type: "xavier"
      std: 0.0009765625
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layer {
  name: "loss2/loss"
  type: "SoftmaxWithLoss"
  bottom: "loss2/classifier"
  bottom: "label"
  top: "loss2/loss1"
  loss_weight: 0.3
}
layer {
  name: "loss2/top-1"
  type: "Accuracy"
  bottom: "loss2/classifier"
  bottom: "label"
  top: "loss2/top-1"
  include {
    phase: TEST
  }
}
layer {
  name: "loss2/top-2"
  type: "Accuracy"
  bottom: "loss2/classifier"
  bottom: "label"
  top: "loss2/top-2"
  include {
    phase: TEST
  }
  accuracy_param {
    top_k: 2
  }
}
layer {
  name: "inception_4e/1x1"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/1x1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.03
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_1x1"
  type: "ReLU"
  bottom: "inception_4e/1x1"
  top: "inception_4e/1x1"
}
layer {
  name: "inception_4e/3x3_reduce"
  type: "Convolution"
  bottom: "inception_4d/output"
  top: "inception_4e/3x3_reduce"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 160
    kernel_size: 1
    weight_filler {
      type: "xavier"
      std: 0.09
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "inception_4e/relu_3x3_reduce"
  type: "ReLU"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3_reduce"
}
layer {
  name: "inception_4e/3x3"
  type: "Convolution"
  bottom: "inception_4e/3x3_reduce"
  top: "inception_4e/3x3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 320
    pad: 1
    kernel_size: 3
    weight_filler {
      t
I0506 01:01:54.403290  7983 layer_factory.hpp:74] Creating layer data
I0506 01:01:54.403302  7983 net.cpp:84] Creating Layer data
I0506 01:01:54.403308  7983 net.cpp:338] data -> data
I0506 01:01:54.403318  7983 net.cpp:338] data -> label
I0506 01:01:54.403326  7983 net.cpp:113] Setting up data
I0506 01:01:54.403380  7983 db.cpp:34] Opened lmdb models/bvlc_googlenet/ADS64_val_lmdb
I0506 01:01:54.403516  7983 data_layer.cpp:67] output data size: 16,3,224,224
I0506 01:01:54.403525  7983 data_transformer.cpp:22] Loading mean file from: models/bvlc_googlenet/ADS64Aug_mean.binaryproto
I0506 01:01:54.406572  7983 net.cpp:120] Top shape: 16 3 224 224 (2408448)
I0506 01:01:54.406592  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406601  7983 layer_factory.hpp:74] Creating layer label_data_1_split
I0506 01:01:54.406617  7983 net.cpp:84] Creating Layer label_data_1_split
I0506 01:01:54.406623  7983 net.cpp:380] label_data_1_split <- label
I0506 01:01:54.406635  7983 net.cpp:338] label_data_1_split -> label_data_1_split_0
I0506 01:01:54.406647  7983 net.cpp:338] label_data_1_split -> label_data_1_split_1
I0506 01:01:54.406656  7983 net.cpp:338] label_data_1_split -> label_data_1_split_2
I0506 01:01:54.406663  7983 net.cpp:338] label_data_1_split -> label_data_1_split_3
I0506 01:01:54.406671  7983 net.cpp:338] label_data_1_split -> label_data_1_split_4
I0506 01:01:54.406677  7983 net.cpp:338] label_data_1_split -> label_data_1_split_5
I0506 01:01:54.406683  7983 net.cpp:338] label_data_1_split -> label_data_1_split_6
I0506 01:01:54.406692  7983 net.cpp:338] label_data_1_split -> label_data_1_split_7
I0506 01:01:54.406697  7983 net.cpp:338] label_data_1_split -> label_data_1_split_8
I0506 01:01:54.406704  7983 net.cpp:113] Setting up label_data_1_split
I0506 01:01:54.406715  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406720  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406725  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406730  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406735  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406740  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406745  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406750  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406754  7983 net.cpp:120] Top shape: 16 (16)
I0506 01:01:54.406759  7983 layer_factory.hpp:74] Creating layer conv1/7x7_s2
I0506 01:01:54.406770  7983 net.cpp:84] Creating Layer conv1/7x7_s2
I0506 01:01:54.406774  7983 net.cpp:380] conv1/7x7_s2 <- data
I0506 01:01:54.406781  7983 net.cpp:338] conv1/7x7_s2 -> conv1/7x7_s2
I0506 01:01:54.406790  7983 net.cpp:113] Setting up conv1/7x7_s2
I0506 01:01:54.406888  7983 net.cpp:120] Top shape: 16 64 112 112 (12845056)
I0506 01:01:54.406900  7983 layer_factory.hpp:74] Creating layer conv1/relu_7x7
I0506 01:01:54.406908  7983 net.cpp:84] Creating Layer conv1/relu_7x7
I0506 01:01:54.406913  7983 net.cpp:380] conv1/relu_7x7 <- conv1/7x7_s2
I0506 01:01:54.406919  7983 net.cpp:327] conv1/relu_7x7 -> conv1/7x7_s2 (in-place)
I0506 01:01:54.406924  7983 net.cpp:113] Setting up conv1/relu_7x7
I0506 01:01:54.406930  7983 net.cpp:120] Top shape: 16 64 112 112 (12845056)
I0506 01:01:54.406934  7983 layer_factory.hpp:74] Creating layer pool1/3x3_s2
I0506 01:01:54.406942  7983 net.cpp:84] Creating Layer pool1/3x3_s2
I0506 01:01:54.406946  7983 net.cpp:380] pool1/3x3_s2 <- conv1/7x7_s2
I0506 01:01:54.406952  7983 net.cpp:338] pool1/3x3_s2 -> pool1/3x3_s2
I0506 01:01:54.406958  7983 net.cpp:113] Setting up pool1/3x3_s2
I0506 01:01:54.406968  7983 net.cpp:120] Top shape: 16 64 56 56 (3211264)
I0506 01:01:54.406972  7983 layer_factory.hpp:74] Creating layer pool1/norm1
I0506 01:01:54.406980  7983 net.cpp:84] Creating Layer pool1/norm1
I0506 01:01:54.406985  7983 net.cpp:380] pool1/norm1 <- pool1/3x3_s2
I0506 01:01:54.406991  7983 net.cpp:338] pool1/norm1 -> pool1/norm1
I0506 01:01:54.406997  7983 net.cpp:113] Setting up pool1/norm1
I0506 01:01:54.407004  7983 net.cpp:120] Top shape: 16 64 56 56 (3211264)
I0506 01:01:54.407008  7983 layer_factory.hpp:74] Creating layer conv2/3x3_reduce
I0506 01:01:54.407016  7983 net.cpp:84] Creating Layer conv2/3x3_reduce
I0506 01:01:54.407021  7983 net.cpp:380] conv2/3x3_reduce <- pool1/norm1
I0506 01:01:54.407027  7983 net.cpp:338] conv2/3x3_reduce -> conv2/3x3_reduce
I0506 01:01:54.407035  7983 net.cpp:113] Setting up conv2/3x3_reduce
I0506 01:01:54.407079  7983 net.cpp:120] Top shape: 16 64 56 56 (3211264)
I0506 01:01:54.407088  7983 layer_factory.hpp:74] Creating layer conv2/relu_3x3_reduce
I0506 01:01:54.407102  7983 net.cpp:84] Creating Layer conv2/relu_3x3_reduce
I0506 01:01:54.407106  7983 net.cpp:380] conv2/relu_3x3_reduce <- conv2/3x3_reduce
I0506 01:01:54.407112  7983 net.cpp:327] conv2/relu_3x3_reduce -> conv2/3x3_reduce (in-place)
I0506 01:01:54.407119  7983 net.cpp:113] Setting up conv2/relu_3x3_reduce
I0506 01:01:54.407124  7983 net.cpp:120] Top shape: 16 64 56 56 (3211264)
I0506 01:01:54.407130  7983 layer_factory.hpp:74] Creating layer conv2/3x3
I0506 01:01:54.407137  7983 net.cpp:84] Creating Layer conv2/3x3
I0506 01:01:54.407141  7983 net.cpp:380] conv2/3x3 <- conv2/3x3_reduce
I0506 01:01:54.407148  7983 net.cpp:338] conv2/3x3 -> conv2/3x3
I0506 01:01:54.407155  7983 net.cpp:113] Setting up conv2/3x3
I0506 01:01:54.407977  7983 net.cpp:120] Top shape: 16 192 56 56 (9633792)
I0506 01:01:54.408002  7983 layer_factory.hpp:74] Creating layer conv2/relu_3x3
I0506 01:01:54.408011  7983 net.cpp:84] Creating Layer conv2/relu_3x3
I0506 01:01:54.408016  7983 net.cpp:380] conv2/relu_3x3 <- conv2/3x3
I0506 01:01:54.408023  7983 net.cpp:327] conv2/relu_3x3 -> conv2/3x3 (in-place)
I0506 01:01:54.408030  7983 net.cpp:113] Setting up conv2/relu_3x3
I0506 01:01:54.408036  7983 net.cpp:120] Top shape: 16 192 56 56 (9633792)
I0506 01:01:54.408041  7983 layer_factory.hpp:74] Creating layer conv2/norm2
I0506 01:01:54.408047  7983 net.cpp:84] Creating Layer conv2/norm2
I0506 01:01:54.408051  7983 net.cpp:380] conv2/norm2 <- conv2/3x3
I0506 01:01:54.408057  7983 net.cpp:338] conv2/norm2 -> conv2/norm2
I0506 01:01:54.408066  7983 net.cpp:113] Setting up conv2/norm2
I0506 01:01:54.408073  7983 net.cpp:120] Top shape: 16 192 56 56 (9633792)
I0506 01:01:54.408078  7983 layer_factory.hpp:74] Creating layer pool2/3x3_s2
I0506 01:01:54.408085  7983 net.cpp:84] Creating Layer pool2/3x3_s2
I0506 01:01:54.408089  7983 net.cpp:380] pool2/3x3_s2 <- conv2/norm2
I0506 01:01:54.408095  7983 net.cpp:338] pool2/3x3_s2 -> pool2/3x3_s2
I0506 01:01:54.408102  7983 net.cpp:113] Setting up pool2/3x3_s2
I0506 01:01:54.408110  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.408114  7983 layer_factory.hpp:74] Creating layer pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.408121  7983 net.cpp:84] Creating Layer pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.408125  7983 net.cpp:380] pool2/3x3_s2_pool2/3x3_s2_0_split <- pool2/3x3_s2
I0506 01:01:54.408131  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0506 01:01:54.408138  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0506 01:01:54.408145  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0506 01:01:54.408152  7983 net.cpp:338] pool2/3x3_s2_pool2/3x3_s2_0_split -> pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0506 01:01:54.408159  7983 net.cpp:113] Setting up pool2/3x3_s2_pool2/3x3_s2_0_split
I0506 01:01:54.408165  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.408170  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.408175  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.408179  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.408184  7983 layer_factory.hpp:74] Creating layer inception_3a/1x1
I0506 01:01:54.408191  7983 net.cpp:84] Creating Layer inception_3a/1x1
I0506 01:01:54.408196  7983 net.cpp:380] inception_3a/1x1 <- pool2/3x3_s2_pool2/3x3_s2_0_split_0
I0506 01:01:54.408202  7983 net.cpp:338] inception_3a/1x1 -> inception_3a/1x1
I0506 01:01:54.408210  7983 net.cpp:113] Setting up inception_3a/1x1
I0506 01:01:54.408313  7983 net.cpp:120] Top shape: 16 64 28 28 (802816)
I0506 01:01:54.408320  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_1x1
I0506 01:01:54.408327  7983 net.cpp:84] Creating Layer inception_3a/relu_1x1
I0506 01:01:54.408331  7983 net.cpp:380] inception_3a/relu_1x1 <- inception_3a/1x1
I0506 01:01:54.408337  7983 net.cpp:327] inception_3a/relu_1x1 -> inception_3a/1x1 (in-place)
I0506 01:01:54.408342  7983 net.cpp:113] Setting up inception_3a/relu_1x1
I0506 01:01:54.408349  7983 net.cpp:120] Top shape: 16 64 28 28 (802816)
I0506 01:01:54.408352  7983 layer_factory.hpp:74] Creating layer inception_3a/3x3_reduce
I0506 01:01:54.408360  7983 net.cpp:84] Creating Layer inception_3a/3x3_reduce
I0506 01:01:54.408365  7983 net.cpp:380] inception_3a/3x3_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_1
I0506 01:01:54.408372  7983 net.cpp:338] inception_3a/3x3_reduce -> inception_3a/3x3_reduce
I0506 01:01:54.408380  7983 net.cpp:113] Setting up inception_3a/3x3_reduce
I0506 01:01:54.408524  7983 net.cpp:120] Top shape: 16 96 28 28 (1204224)
I0506 01:01:54.408534  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_3x3_reduce
I0506 01:01:54.408541  7983 net.cpp:84] Creating Layer inception_3a/relu_3x3_reduce
I0506 01:01:54.408546  7983 net.cpp:380] inception_3a/relu_3x3_reduce <- inception_3a/3x3_reduce
I0506 01:01:54.408552  7983 net.cpp:327] inception_3a/relu_3x3_reduce -> inception_3a/3x3_reduce (in-place)
I0506 01:01:54.408558  7983 net.cpp:113] Setting up inception_3a/relu_3x3_reduce
I0506 01:01:54.408563  7983 net.cpp:120] Top shape: 16 96 28 28 (1204224)
I0506 01:01:54.408568  7983 layer_factory.hpp:74] Creating layer inception_3a/3x3
I0506 01:01:54.408576  7983 net.cpp:84] Creating Layer inception_3a/3x3
I0506 01:01:54.408579  7983 net.cpp:380] inception_3a/3x3 <- inception_3a/3x3_reduce
I0506 01:01:54.408586  7983 net.cpp:338] inception_3a/3x3 -> inception_3a/3x3
I0506 01:01:54.408592  7983 net.cpp:113] Setting up inception_3a/3x3
I0506 01:01:54.409471  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.409494  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_3x3
I0506 01:01:54.409505  7983 net.cpp:84] Creating Layer inception_3a/relu_3x3
I0506 01:01:54.409510  7983 net.cpp:380] inception_3a/relu_3x3 <- inception_3a/3x3
I0506 01:01:54.409518  7983 net.cpp:327] inception_3a/relu_3x3 -> inception_3a/3x3 (in-place)
I0506 01:01:54.409525  7983 net.cpp:113] Setting up inception_3a/relu_3x3
I0506 01:01:54.409531  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.409535  7983 layer_factory.hpp:74] Creating layer inception_3a/5x5_reduce
I0506 01:01:54.409545  7983 net.cpp:84] Creating Layer inception_3a/5x5_reduce
I0506 01:01:54.409551  7983 net.cpp:380] inception_3a/5x5_reduce <- pool2/3x3_s2_pool2/3x3_s2_0_split_2
I0506 01:01:54.409559  7983 net.cpp:338] inception_3a/5x5_reduce -> inception_3a/5x5_reduce
I0506 01:01:54.409565  7983 net.cpp:113] Setting up inception_3a/5x5_reduce
I0506 01:01:54.409606  7983 net.cpp:120] Top shape: 16 16 28 28 (200704)
I0506 01:01:54.409615  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_5x5_reduce
I0506 01:01:54.409621  7983 net.cpp:84] Creating Layer inception_3a/relu_5x5_reduce
I0506 01:01:54.409625  7983 net.cpp:380] inception_3a/relu_5x5_reduce <- inception_3a/5x5_reduce
I0506 01:01:54.409631  7983 net.cpp:327] inception_3a/relu_5x5_reduce -> inception_3a/5x5_reduce (in-place)
I0506 01:01:54.409636  7983 net.cpp:113] Setting up inception_3a/relu_5x5_reduce
I0506 01:01:54.409642  7983 net.cpp:120] Top shape: 16 16 28 28 (200704)
I0506 01:01:54.409646  7983 layer_factory.hpp:74] Creating layer inception_3a/5x5
I0506 01:01:54.409653  7983 net.cpp:84] Creating Layer inception_3a/5x5
I0506 01:01:54.409657  7983 net.cpp:380] inception_3a/5x5 <- inception_3a/5x5_reduce
I0506 01:01:54.409665  7983 net.cpp:338] inception_3a/5x5 -> inception_3a/5x5
I0506 01:01:54.409672  7983 net.cpp:113] Setting up inception_3a/5x5
I0506 01:01:54.409781  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.409790  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_5x5
I0506 01:01:54.409795  7983 net.cpp:84] Creating Layer inception_3a/relu_5x5
I0506 01:01:54.409800  7983 net.cpp:380] inception_3a/relu_5x5 <- inception_3a/5x5
I0506 01:01:54.409804  7983 net.cpp:327] inception_3a/relu_5x5 -> inception_3a/5x5 (in-place)
I0506 01:01:54.409811  7983 net.cpp:113] Setting up inception_3a/relu_5x5
I0506 01:01:54.409816  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.409819  7983 layer_factory.hpp:74] Creating layer inception_3a/pool
I0506 01:01:54.409827  7983 net.cpp:84] Creating Layer inception_3a/pool
I0506 01:01:54.409832  7983 net.cpp:380] inception_3a/pool <- pool2/3x3_s2_pool2/3x3_s2_0_split_3
I0506 01:01:54.409838  7983 net.cpp:338] inception_3a/pool -> inception_3a/pool
I0506 01:01:54.409847  7983 net.cpp:113] Setting up inception_3a/pool
I0506 01:01:54.409855  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.409860  7983 layer_factory.hpp:74] Creating layer inception_3a/pool_proj
I0506 01:01:54.409869  7983 net.cpp:84] Creating Layer inception_3a/pool_proj
I0506 01:01:54.409873  7983 net.cpp:380] inception_3a/pool_proj <- inception_3a/pool
I0506 01:01:54.409880  7983 net.cpp:338] inception_3a/pool_proj -> inception_3a/pool_proj
I0506 01:01:54.409888  7983 net.cpp:113] Setting up inception_3a/pool_proj
I0506 01:01:54.409947  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.409960  7983 layer_factory.hpp:74] Creating layer inception_3a/relu_pool_proj
I0506 01:01:54.409970  7983 net.cpp:84] Creating Layer inception_3a/relu_pool_proj
I0506 01:01:54.409975  7983 net.cpp:380] inception_3a/relu_pool_proj <- inception_3a/pool_proj
I0506 01:01:54.409979  7983 net.cpp:327] inception_3a/relu_pool_proj -> inception_3a/pool_proj (in-place)
I0506 01:01:54.409986  7983 net.cpp:113] Setting up inception_3a/relu_pool_proj
I0506 01:01:54.409991  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.409996  7983 layer_factory.hpp:74] Creating layer inception_3a/output
I0506 01:01:54.410002  7983 net.cpp:84] Creating Layer inception_3a/output
I0506 01:01:54.410006  7983 net.cpp:380] inception_3a/output <- inception_3a/1x1
I0506 01:01:54.410012  7983 net.cpp:380] inception_3a/output <- inception_3a/3x3
I0506 01:01:54.410017  7983 net.cpp:380] inception_3a/output <- inception_3a/5x5
I0506 01:01:54.410022  7983 net.cpp:380] inception_3a/output <- inception_3a/pool_proj
I0506 01:01:54.410028  7983 net.cpp:338] inception_3a/output -> inception_3a/output
I0506 01:01:54.410035  7983 net.cpp:113] Setting up inception_3a/output
I0506 01:01:54.410044  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.410048  7983 layer_factory.hpp:74] Creating layer inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.410055  7983 net.cpp:84] Creating Layer inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.410059  7983 net.cpp:380] inception_3a/output_inception_3a/output_0_split <- inception_3a/output
I0506 01:01:54.410066  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_0
I0506 01:01:54.410074  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_1
I0506 01:01:54.410081  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_2
I0506 01:01:54.410091  7983 net.cpp:338] inception_3a/output_inception_3a/output_0_split -> inception_3a/output_inception_3a/output_0_split_3
I0506 01:01:54.410097  7983 net.cpp:113] Setting up inception_3a/output_inception_3a/output_0_split
I0506 01:01:54.410105  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.410110  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.410115  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.410120  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.410125  7983 layer_factory.hpp:74] Creating layer inception_3b/1x1
I0506 01:01:54.410133  7983 net.cpp:84] Creating Layer inception_3b/1x1
I0506 01:01:54.410138  7983 net.cpp:380] inception_3b/1x1 <- inception_3a/output_inception_3a/output_0_split_0
I0506 01:01:54.410146  7983 net.cpp:338] inception_3b/1x1 -> inception_3b/1x1
I0506 01:01:54.410153  7983 net.cpp:113] Setting up inception_3b/1x1
I0506 01:01:54.410418  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.410426  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_1x1
I0506 01:01:54.410434  7983 net.cpp:84] Creating Layer inception_3b/relu_1x1
I0506 01:01:54.410437  7983 net.cpp:380] inception_3b/relu_1x1 <- inception_3b/1x1
I0506 01:01:54.410444  7983 net.cpp:327] inception_3b/relu_1x1 -> inception_3b/1x1 (in-place)
I0506 01:01:54.410449  7983 net.cpp:113] Setting up inception_3b/relu_1x1
I0506 01:01:54.410455  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.410459  7983 layer_factory.hpp:74] Creating layer inception_3b/3x3_reduce
I0506 01:01:54.410468  7983 net.cpp:84] Creating Layer inception_3b/3x3_reduce
I0506 01:01:54.410472  7983 net.cpp:380] inception_3b/3x3_reduce <- inception_3a/output_inception_3a/output_0_split_1
I0506 01:01:54.410480  7983 net.cpp:338] inception_3b/3x3_reduce -> inception_3b/3x3_reduce
I0506 01:01:54.410487  7983 net.cpp:113] Setting up inception_3b/3x3_reduce
I0506 01:01:54.410768  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.410779  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_3x3_reduce
I0506 01:01:54.410786  7983 net.cpp:84] Creating Layer inception_3b/relu_3x3_reduce
I0506 01:01:54.410791  7983 net.cpp:380] inception_3b/relu_3x3_reduce <- inception_3b/3x3_reduce
I0506 01:01:54.410797  7983 net.cpp:327] inception_3b/relu_3x3_reduce -> inception_3b/3x3_reduce (in-place)
I0506 01:01:54.410804  7983 net.cpp:113] Setting up inception_3b/relu_3x3_reduce
I0506 01:01:54.410809  7983 net.cpp:120] Top shape: 16 128 28 28 (1605632)
I0506 01:01:54.410814  7983 layer_factory.hpp:74] Creating layer inception_3b/3x3
I0506 01:01:54.410826  7983 net.cpp:84] Creating Layer inception_3b/3x3
I0506 01:01:54.410831  7983 net.cpp:380] inception_3b/3x3 <- inception_3b/3x3_reduce
I0506 01:01:54.410840  7983 net.cpp:338] inception_3b/3x3 -> inception_3b/3x3
I0506 01:01:54.410847  7983 net.cpp:113] Setting up inception_3b/3x3
I0506 01:01:54.412582  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.412631  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_3x3
I0506 01:01:54.412642  7983 net.cpp:84] Creating Layer inception_3b/relu_3x3
I0506 01:01:54.412648  7983 net.cpp:380] inception_3b/relu_3x3 <- inception_3b/3x3
I0506 01:01:54.412658  7983 net.cpp:327] inception_3b/relu_3x3 -> inception_3b/3x3 (in-place)
I0506 01:01:54.412667  7983 net.cpp:113] Setting up inception_3b/relu_3x3
I0506 01:01:54.412672  7983 net.cpp:120] Top shape: 16 192 28 28 (2408448)
I0506 01:01:54.412677  7983 layer_factory.hpp:74] Creating layer inception_3b/5x5_reduce
I0506 01:01:54.412684  7983 net.cpp:84] Creating Layer inception_3b/5x5_reduce
I0506 01:01:54.412689  7983 net.cpp:380] inception_3b/5x5_reduce <- inception_3a/output_inception_3a/output_0_split_2
I0506 01:01:54.412698  7983 net.cpp:338] inception_3b/5x5_reduce -> inception_3b/5x5_reduce
I0506 01:01:54.412705  7983 net.cpp:113] Setting up inception_3b/5x5_reduce
I0506 01:01:54.412786  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.412794  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_5x5_reduce
I0506 01:01:54.412801  7983 net.cpp:84] Creating Layer inception_3b/relu_5x5_reduce
I0506 01:01:54.412804  7983 net.cpp:380] inception_3b/relu_5x5_reduce <- inception_3b/5x5_reduce
I0506 01:01:54.412811  7983 net.cpp:327] inception_3b/relu_5x5_reduce -> inception_3b/5x5_reduce (in-place)
I0506 01:01:54.412816  7983 net.cpp:113] Setting up inception_3b/relu_5x5_reduce
I0506 01:01:54.412822  7983 net.cpp:120] Top shape: 16 32 28 28 (401408)
I0506 01:01:54.412825  7983 layer_factory.hpp:74] Creating layer inception_3b/5x5
I0506 01:01:54.412834  7983 net.cpp:84] Creating Layer inception_3b/5x5
I0506 01:01:54.412838  7983 net.cpp:380] inception_3b/5x5 <- inception_3b/5x5_reduce
I0506 01:01:54.412845  7983 net.cpp:338] inception_3b/5x5 -> inception_3b/5x5
I0506 01:01:54.412854  7983 net.cpp:113] Setting up inception_3b/5x5
I0506 01:01:54.413465  7983 net.cpp:120] Top shape: 16 96 28 28 (1204224)
I0506 01:01:54.413475  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_5x5
I0506 01:01:54.413481  7983 net.cpp:84] Creating Layer inception_3b/relu_5x5
I0506 01:01:54.413486  7983 net.cpp:380] inception_3b/relu_5x5 <- inception_3b/5x5
I0506 01:01:54.413491  7983 net.cpp:327] inception_3b/relu_5x5 -> inception_3b/5x5 (in-place)
I0506 01:01:54.413497  7983 net.cpp:113] Setting up inception_3b/relu_5x5
I0506 01:01:54.413503  7983 net.cpp:120] Top shape: 16 96 28 28 (1204224)
I0506 01:01:54.413507  7983 layer_factory.hpp:74] Creating layer inception_3b/pool
I0506 01:01:54.413514  7983 net.cpp:84] Creating Layer inception_3b/pool
I0506 01:01:54.413518  7983 net.cpp:380] inception_3b/pool <- inception_3a/output_inception_3a/output_0_split_3
I0506 01:01:54.413527  7983 net.cpp:338] inception_3b/pool -> inception_3b/pool
I0506 01:01:54.413533  7983 net.cpp:113] Setting up inception_3b/pool
I0506 01:01:54.413542  7983 net.cpp:120] Top shape: 16 256 28 28 (3211264)
I0506 01:01:54.413547  7983 layer_factory.hpp:74] Creating layer inception_3b/pool_proj
I0506 01:01:54.413555  7983 net.cpp:84] Creating Layer inception_3b/pool_proj
I0506 01:01:54.413560  7983 net.cpp:380] inception_3b/pool_proj <- inception_3b/pool
I0506 01:01:54.413566  7983 net.cpp:338] inception_3b/pool_proj -> inception_3b/pool_proj
I0506 01:01:54.413573  7983 net.cpp:113] Setting up inception_3b/pool_proj
I0506 01:01:54.413712  7983 net.cpp:120] Top shape: 16 64 28 28 (802816)
I0506 01:01:54.413720  7983 layer_factory.hpp:74] Creating layer inception_3b/relu_pool_proj
I0506 01:01:54.413727  7983 net.cpp:84] Creating Layer inception_3b/relu_pool_proj
I0506 01:01:54.413730  7983 net.cpp:380] inception_3b/relu_pool_proj <- inception_3b/pool_proj
I0506 01:01:54.413738  7983 net.cpp:327] inception_3b/relu_pool_proj -> inception_3b/pool_proj (in-place)
I0506 01:01:54.413743  7983 net.cpp:113] Setting up inception_3b/relu_pool_proj
I0506 01:01:54.413749  7983 net.cpp:120] Top shape: 16 64 28 28 (802816)
I0506 01:01:54.413753  7983 layer_factory.hpp:74] Creating layer inception_3b/output
I0506 01:01:54.413760  7983 net.cpp:84] Creating Layer inception_3b/output
I0506 01:01:54.413764  7983 net.cpp:380] inception_3b/output <- inception_3b/1x1
I0506 01:01:54.413769  7983 net.cpp:380] inception_3b/output <- inception_3b/3x3
I0506 01:01:54.413774  7983 net.cpp:380] inception_3b/output <- inception_3b/5x5
I0506 01:01:54.413779  7983 net.cpp:380] inception_3b/output <- inception_3b/pool_proj
I0506 01:01:54.413784  7983 net.cpp:338] inception_3b/output -> inception_3b/output
I0506 01:01:54.413790  7983 net.cpp:113] Setting up inception_3b/output
I0506 01:01:54.413799  7983 net.cpp:120] Top shape: 16 480 28 28 (6021120)
I0506 01:01:54.413802  7983 layer_factory.hpp:74] Creating layer pool3/3x3_s2
I0506 01:01:54.413810  7983 net.cpp:84] Creating Layer pool3/3x3_s2
I0506 01:01:54.413815  7983 net.cpp:380] pool3/3x3_s2 <- inception_3b/output
I0506 01:01:54.413821  7983 net.cpp:338] pool3/3x3_s2 -> pool3/3x3_s2
I0506 01:01:54.413827  7983 net.cpp:113] Setting up pool3/3x3_s2
I0506 01:01:54.413835  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.413838  7983 layer_factory.hpp:74] Creating layer pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.413846  7983 net.cpp:84] Creating Layer pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.413849  7983 net.cpp:380] pool3/3x3_s2_pool3/3x3_s2_0_split <- pool3/3x3_s2
I0506 01:01:54.413856  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0506 01:01:54.413863  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0506 01:01:54.413871  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0506 01:01:54.413877  7983 net.cpp:338] pool3/3x3_s2_pool3/3x3_s2_0_split -> pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0506 01:01:54.413887  7983 net.cpp:113] Setting up pool3/3x3_s2_pool3/3x3_s2_0_split
I0506 01:01:54.413897  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.413902  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.413908  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.413911  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.413915  7983 layer_factory.hpp:74] Creating layer inception_4a/1x1
I0506 01:01:54.413923  7983 net.cpp:84] Creating Layer inception_4a/1x1
I0506 01:01:54.413926  7983 net.cpp:380] inception_4a/1x1 <- pool3/3x3_s2_pool3/3x3_s2_0_split_0
I0506 01:01:54.413935  7983 net.cpp:338] inception_4a/1x1 -> inception_4a/1x1
I0506 01:01:54.413944  7983 net.cpp:113] Setting up inception_4a/1x1
I0506 01:01:54.414680  7983 net.cpp:120] Top shape: 16 192 14 14 (602112)
I0506 01:01:54.414690  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_1x1
I0506 01:01:54.414696  7983 net.cpp:84] Creating Layer inception_4a/relu_1x1
I0506 01:01:54.414700  7983 net.cpp:380] inception_4a/relu_1x1 <- inception_4a/1x1
I0506 01:01:54.414706  7983 net.cpp:327] inception_4a/relu_1x1 -> inception_4a/1x1 (in-place)
I0506 01:01:54.414712  7983 net.cpp:113] Setting up inception_4a/relu_1x1
I0506 01:01:54.414718  7983 net.cpp:120] Top shape: 16 192 14 14 (602112)
I0506 01:01:54.414722  7983 layer_factory.hpp:74] Creating layer inception_4a/3x3_reduce
I0506 01:01:54.414731  7983 net.cpp:84] Creating Layer inception_4a/3x3_reduce
I0506 01:01:54.414736  7983 net.cpp:380] inception_4a/3x3_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_1
I0506 01:01:54.414743  7983 net.cpp:338] inception_4a/3x3_reduce -> inception_4a/3x3_reduce
I0506 01:01:54.414751  7983 net.cpp:113] Setting up inception_4a/3x3_reduce
I0506 01:01:54.415114  7983 net.cpp:120] Top shape: 16 96 14 14 (301056)
I0506 01:01:54.415129  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_3x3_reduce
I0506 01:01:54.415137  7983 net.cpp:84] Creating Layer inception_4a/relu_3x3_reduce
I0506 01:01:54.415141  7983 net.cpp:380] inception_4a/relu_3x3_reduce <- inception_4a/3x3_reduce
I0506 01:01:54.415148  7983 net.cpp:327] inception_4a/relu_3x3_reduce -> inception_4a/3x3_reduce (in-place)
I0506 01:01:54.415153  7983 net.cpp:113] Setting up inception_4a/relu_3x3_reduce
I0506 01:01:54.415159  7983 net.cpp:120] Top shape: 16 96 14 14 (301056)
I0506 01:01:54.415163  7983 layer_factory.hpp:74] Creating layer inception_4a/3x3
I0506 01:01:54.415170  7983 net.cpp:84] Creating Layer inception_4a/3x3
I0506 01:01:54.415174  7983 net.cpp:380] inception_4a/3x3 <- inception_4a/3x3_reduce
I0506 01:01:54.415182  7983 net.cpp:338] inception_4a/3x3 -> inception_4a/3x3
I0506 01:01:54.415189  7983 net.cpp:113] Setting up inception_4a/3x3
I0506 01:01:54.416578  7983 net.cpp:120] Top shape: 16 208 14 14 (652288)
I0506 01:01:54.416589  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_3x3
I0506 01:01:54.416595  7983 net.cpp:84] Creating Layer inception_4a/relu_3x3
I0506 01:01:54.416600  7983 net.cpp:380] inception_4a/relu_3x3 <- inception_4a/3x3
I0506 01:01:54.416628  7983 net.cpp:327] inception_4a/relu_3x3 -> inception_4a/3x3 (in-place)
I0506 01:01:54.416637  7983 net.cpp:113] Setting up inception_4a/relu_3x3
I0506 01:01:54.416643  7983 net.cpp:120] Top shape: 16 208 14 14 (652288)
I0506 01:01:54.416648  7983 layer_factory.hpp:74] Creating layer inception_4a/5x5_reduce
I0506 01:01:54.416656  7983 net.cpp:84] Creating Layer inception_4a/5x5_reduce
I0506 01:01:54.416661  7983 net.cpp:380] inception_4a/5x5_reduce <- pool3/3x3_s2_pool3/3x3_s2_0_split_2
I0506 01:01:54.416669  7983 net.cpp:338] inception_4a/5x5_reduce -> inception_4a/5x5_reduce
I0506 01:01:54.416676  7983 net.cpp:113] Setting up inception_4a/5x5_reduce
I0506 01:01:54.416749  7983 net.cpp:120] Top shape: 16 16 14 14 (50176)
I0506 01:01:54.416756  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_5x5_reduce
I0506 01:01:54.416764  7983 net.cpp:84] Creating Layer inception_4a/relu_5x5_reduce
I0506 01:01:54.416769  7983 net.cpp:380] inception_4a/relu_5x5_reduce <- inception_4a/5x5_reduce
I0506 01:01:54.416774  7983 net.cpp:327] inception_4a/relu_5x5_reduce -> inception_4a/5x5_reduce (in-place)
I0506 01:01:54.416779  7983 net.cpp:113] Setting up inception_4a/relu_5x5_reduce
I0506 01:01:54.416785  7983 net.cpp:120] Top shape: 16 16 14 14 (50176)
I0506 01:01:54.416790  7983 layer_factory.hpp:74] Creating layer inception_4a/5x5
I0506 01:01:54.416797  7983 net.cpp:84] Creating Layer inception_4a/5x5
I0506 01:01:54.416802  7983 net.cpp:380] inception_4a/5x5 <- inception_4a/5x5_reduce
I0506 01:01:54.416808  7983 net.cpp:338] inception_4a/5x5 -> inception_4a/5x5
I0506 01:01:54.416815  7983 net.cpp:113] Setting up inception_4a/5x5
I0506 01:01:54.416976  7983 net.cpp:120] Top shape: 16 48 14 14 (150528)
I0506 01:01:54.416985  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_5x5
I0506 01:01:54.416992  7983 net.cpp:84] Creating Layer inception_4a/relu_5x5
I0506 01:01:54.416996  7983 net.cpp:380] inception_4a/relu_5x5 <- inception_4a/5x5
I0506 01:01:54.417002  7983 net.cpp:327] inception_4a/relu_5x5 -> inception_4a/5x5 (in-place)
I0506 01:01:54.417007  7983 net.cpp:113] Setting up inception_4a/relu_5x5
I0506 01:01:54.417013  7983 net.cpp:120] Top shape: 16 48 14 14 (150528)
I0506 01:01:54.417017  7983 layer_factory.hpp:74] Creating layer inception_4a/pool
I0506 01:01:54.417024  7983 net.cpp:84] Creating Layer inception_4a/pool
I0506 01:01:54.417029  7983 net.cpp:380] inception_4a/pool <- pool3/3x3_s2_pool3/3x3_s2_0_split_3
I0506 01:01:54.417035  7983 net.cpp:338] inception_4a/pool -> inception_4a/pool
I0506 01:01:54.417042  7983 net.cpp:113] Setting up inception_4a/pool
I0506 01:01:54.417050  7983 net.cpp:120] Top shape: 16 480 14 14 (1505280)
I0506 01:01:54.417055  7983 layer_factory.hpp:74] Creating layer inception_4a/pool_proj
I0506 01:01:54.417062  7983 net.cpp:84] Creating Layer inception_4a/pool_proj
I0506 01:01:54.417067  7983 net.cpp:380] inception_4a/pool_proj <- inception_4a/pool
I0506 01:01:54.417074  7983 net.cpp:338] inception_4a/pool_proj -> inception_4a/pool_proj
I0506 01:01:54.417081  7983 net.cpp:113] Setting up inception_4a/pool_proj
I0506 01:01:54.417330  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.417340  7983 layer_factory.hpp:74] Creating layer inception_4a/relu_pool_proj
I0506 01:01:54.417346  7983 net.cpp:84] Creating Layer inception_4a/relu_pool_proj
I0506 01:01:54.417351  7983 net.cpp:380] inception_4a/relu_pool_proj <- inception_4a/pool_proj
I0506 01:01:54.417358  7983 net.cpp:327] inception_4a/relu_pool_proj -> inception_4a/pool_proj (in-place)
I0506 01:01:54.417366  7983 net.cpp:113] Setting up inception_4a/relu_pool_proj
I0506 01:01:54.417371  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.417376  7983 layer_factory.hpp:74] Creating layer inception_4a/output
I0506 01:01:54.417382  7983 net.cpp:84] Creating Layer inception_4a/output
I0506 01:01:54.417387  7983 net.cpp:380] inception_4a/output <- inception_4a/1x1
I0506 01:01:54.417392  7983 net.cpp:380] inception_4a/output <- inception_4a/3x3
I0506 01:01:54.417397  7983 net.cpp:380] inception_4a/output <- inception_4a/5x5
I0506 01:01:54.417402  7983 net.cpp:380] inception_4a/output <- inception_4a/pool_proj
I0506 01:01:54.417407  7983 net.cpp:338] inception_4a/output -> inception_4a/output
I0506 01:01:54.417413  7983 net.cpp:113] Setting up inception_4a/output
I0506 01:01:54.417420  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417424  7983 layer_factory.hpp:74] Creating layer inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.417431  7983 net.cpp:84] Creating Layer inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.417438  7983 net.cpp:380] inception_4a/output_inception_4a/output_0_split <- inception_4a/output
I0506 01:01:54.417444  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_0
I0506 01:01:54.417451  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_1
I0506 01:01:54.417459  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_2
I0506 01:01:54.417465  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_3
I0506 01:01:54.417472  7983 net.cpp:338] inception_4a/output_inception_4a/output_0_split -> inception_4a/output_inception_4a/output_0_split_4
I0506 01:01:54.417479  7983 net.cpp:113] Setting up inception_4a/output_inception_4a/output_0_split
I0506 01:01:54.417486  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417492  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417497  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417501  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417506  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.417510  7983 layer_factory.hpp:74] Creating layer loss1/ave_pool
I0506 01:01:54.417517  7983 net.cpp:84] Creating Layer loss1/ave_pool
I0506 01:01:54.417522  7983 net.cpp:380] loss1/ave_pool <- inception_4a/output_inception_4a/output_0_split_0
I0506 01:01:54.417529  7983 net.cpp:338] loss1/ave_pool -> loss1/ave_pool
I0506 01:01:54.417536  7983 net.cpp:113] Setting up loss1/ave_pool
I0506 01:01:54.417543  7983 net.cpp:120] Top shape: 16 512 4 4 (131072)
I0506 01:01:54.417547  7983 layer_factory.hpp:74] Creating layer loss1/conv
I0506 01:01:54.417554  7983 net.cpp:84] Creating Layer loss1/conv
I0506 01:01:54.417558  7983 net.cpp:380] loss1/conv <- loss1/ave_pool
I0506 01:01:54.417567  7983 net.cpp:338] loss1/conv -> loss1/conv
I0506 01:01:54.417573  7983 net.cpp:113] Setting up loss1/conv
I0506 01:01:54.418083  7983 net.cpp:120] Top shape: 16 128 4 4 (32768)
I0506 01:01:54.418093  7983 layer_factory.hpp:74] Creating layer loss1/relu_conv
I0506 01:01:54.418100  7983 net.cpp:84] Creating Layer loss1/relu_conv
I0506 01:01:54.418105  7983 net.cpp:380] loss1/relu_conv <- loss1/conv
I0506 01:01:54.418110  7983 net.cpp:327] loss1/relu_conv -> loss1/conv (in-place)
I0506 01:01:54.418117  7983 net.cpp:113] Setting up loss1/relu_conv
I0506 01:01:54.418123  7983 net.cpp:120] Top shape: 16 128 4 4 (32768)
I0506 01:01:54.418126  7983 layer_factory.hpp:74] Creating layer loss1/fc
I0506 01:01:54.418134  7983 net.cpp:84] Creating Layer loss1/fc
I0506 01:01:54.418138  7983 net.cpp:380] loss1/fc <- loss1/conv
I0506 01:01:54.418145  7983 net.cpp:338] loss1/fc -> loss1/fc
I0506 01:01:54.418154  7983 net.cpp:113] Setting up loss1/fc
I0506 01:01:54.433878  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.433907  7983 layer_factory.hpp:74] Creating layer loss1/relu_fc
I0506 01:01:54.433918  7983 net.cpp:84] Creating Layer loss1/relu_fc
I0506 01:01:54.433924  7983 net.cpp:380] loss1/relu_fc <- loss1/fc
I0506 01:01:54.433933  7983 net.cpp:327] loss1/relu_fc -> loss1/fc (in-place)
I0506 01:01:54.433941  7983 net.cpp:113] Setting up loss1/relu_fc
I0506 01:01:54.433948  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.433953  7983 layer_factory.hpp:74] Creating layer loss1/drop_fc
I0506 01:01:54.433969  7983 net.cpp:84] Creating Layer loss1/drop_fc
I0506 01:01:54.433974  7983 net.cpp:380] loss1/drop_fc <- loss1/fc
I0506 01:01:54.433979  7983 net.cpp:327] loss1/drop_fc -> loss1/fc (in-place)
I0506 01:01:54.433985  7983 net.cpp:113] Setting up loss1/drop_fc
I0506 01:01:54.433995  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.434000  7983 layer_factory.hpp:74] Creating layer loss1/classifier
I0506 01:01:54.434008  7983 net.cpp:84] Creating Layer loss1/classifier
I0506 01:01:54.434012  7983 net.cpp:380] loss1/classifier <- loss1/fc
I0506 01:01:54.434020  7983 net.cpp:338] loss1/classifier -> loss1/classifier
I0506 01:01:54.434027  7983 net.cpp:113] Setting up loss1/classifier
I0506 01:01:54.434087  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.434094  7983 layer_factory.hpp:74] Creating layer loss1/classifier_loss1/classifier_0_split
I0506 01:01:54.434103  7983 net.cpp:84] Creating Layer loss1/classifier_loss1/classifier_0_split
I0506 01:01:54.434108  7983 net.cpp:380] loss1/classifier_loss1/classifier_0_split <- loss1/classifier
I0506 01:01:54.434113  7983 net.cpp:338] loss1/classifier_loss1/classifier_0_split -> loss1/classifier_loss1/classifier_0_split_0
I0506 01:01:54.434128  7983 net.cpp:338] loss1/classifier_loss1/classifier_0_split -> loss1/classifier_loss1/classifier_0_split_1
I0506 01:01:54.434134  7983 net.cpp:338] loss1/classifier_loss1/classifier_0_split -> loss1/classifier_loss1/classifier_0_split_2
I0506 01:01:54.434141  7983 net.cpp:113] Setting up loss1/classifier_loss1/classifier_0_split
I0506 01:01:54.434149  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.434154  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.434159  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.434162  7983 layer_factory.hpp:74] Creating layer loss1/loss
I0506 01:01:54.434171  7983 net.cpp:84] Creating Layer loss1/loss
I0506 01:01:54.434176  7983 net.cpp:380] loss1/loss <- loss1/classifier_loss1/classifier_0_split_0
I0506 01:01:54.434181  7983 net.cpp:380] loss1/loss <- label_data_1_split_0
I0506 01:01:54.434188  7983 net.cpp:338] loss1/loss -> loss1/loss1
I0506 01:01:54.434195  7983 net.cpp:113] Setting up loss1/loss
I0506 01:01:54.434202  7983 layer_factory.hpp:74] Creating layer loss1/loss
I0506 01:01:54.434217  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.434222  7983 net.cpp:122]     with loss weight 0.3
I0506 01:01:54.434237  7983 layer_factory.hpp:74] Creating layer loss1/top-1
I0506 01:01:54.434247  7983 net.cpp:84] Creating Layer loss1/top-1
I0506 01:01:54.434250  7983 net.cpp:380] loss1/top-1 <- loss1/classifier_loss1/classifier_0_split_1
I0506 01:01:54.434257  7983 net.cpp:380] loss1/top-1 <- label_data_1_split_1
I0506 01:01:54.434262  7983 net.cpp:338] loss1/top-1 -> loss1/top-1
I0506 01:01:54.434269  7983 net.cpp:113] Setting up loss1/top-1
I0506 01:01:54.434278  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.434281  7983 layer_factory.hpp:74] Creating layer loss1/top-2
I0506 01:01:54.434289  7983 net.cpp:84] Creating Layer loss1/top-2
I0506 01:01:54.434293  7983 net.cpp:380] loss1/top-2 <- loss1/classifier_loss1/classifier_0_split_2
I0506 01:01:54.434299  7983 net.cpp:380] loss1/top-2 <- label_data_1_split_2
I0506 01:01:54.434304  7983 net.cpp:338] loss1/top-2 -> loss1/top-2
I0506 01:01:54.434311  7983 net.cpp:113] Setting up loss1/top-2
I0506 01:01:54.434317  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.434321  7983 layer_factory.hpp:74] Creating layer inception_4b/1x1
I0506 01:01:54.434329  7983 net.cpp:84] Creating Layer inception_4b/1x1
I0506 01:01:54.434334  7983 net.cpp:380] inception_4b/1x1 <- inception_4a/output_inception_4a/output_0_split_1
I0506 01:01:54.434342  7983 net.cpp:338] inception_4b/1x1 -> inception_4b/1x1
I0506 01:01:54.434350  7983 net.cpp:113] Setting up inception_4b/1x1
I0506 01:01:54.434993  7983 net.cpp:120] Top shape: 16 160 14 14 (501760)
I0506 01:01:54.435003  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_1x1
I0506 01:01:54.435009  7983 net.cpp:84] Creating Layer inception_4b/relu_1x1
I0506 01:01:54.435012  7983 net.cpp:380] inception_4b/relu_1x1 <- inception_4b/1x1
I0506 01:01:54.435020  7983 net.cpp:327] inception_4b/relu_1x1 -> inception_4b/1x1 (in-place)
I0506 01:01:54.435026  7983 net.cpp:113] Setting up inception_4b/relu_1x1
I0506 01:01:54.435032  7983 net.cpp:120] Top shape: 16 160 14 14 (501760)
I0506 01:01:54.435036  7983 layer_factory.hpp:74] Creating layer inception_4b/3x3_reduce
I0506 01:01:54.435044  7983 net.cpp:84] Creating Layer inception_4b/3x3_reduce
I0506 01:01:54.435047  7983 net.cpp:380] inception_4b/3x3_reduce <- inception_4a/output_inception_4a/output_0_split_2
I0506 01:01:54.435055  7983 net.cpp:338] inception_4b/3x3_reduce -> inception_4b/3x3_reduce
I0506 01:01:54.435062  7983 net.cpp:113] Setting up inception_4b/3x3_reduce
I0506 01:01:54.435521  7983 net.cpp:120] Top shape: 16 112 14 14 (351232)
I0506 01:01:54.435531  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_3x3_reduce
I0506 01:01:54.435538  7983 net.cpp:84] Creating Layer inception_4b/relu_3x3_reduce
I0506 01:01:54.435542  7983 net.cpp:380] inception_4b/relu_3x3_reduce <- inception_4b/3x3_reduce
I0506 01:01:54.435549  7983 net.cpp:327] inception_4b/relu_3x3_reduce -> inception_4b/3x3_reduce (in-place)
I0506 01:01:54.435555  7983 net.cpp:113] Setting up inception_4b/relu_3x3_reduce
I0506 01:01:54.435560  7983 net.cpp:120] Top shape: 16 112 14 14 (351232)
I0506 01:01:54.435565  7983 layer_factory.hpp:74] Creating layer inception_4b/3x3
I0506 01:01:54.435572  7983 net.cpp:84] Creating Layer inception_4b/3x3
I0506 01:01:54.435577  7983 net.cpp:380] inception_4b/3x3 <- inception_4b/3x3_reduce
I0506 01:01:54.435585  7983 net.cpp:338] inception_4b/3x3 -> inception_4b/3x3
I0506 01:01:54.435590  7983 net.cpp:113] Setting up inception_4b/3x3
I0506 01:01:54.437317  7983 net.cpp:120] Top shape: 16 224 14 14 (702464)
I0506 01:01:54.437329  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_3x3
I0506 01:01:54.437335  7983 net.cpp:84] Creating Layer inception_4b/relu_3x3
I0506 01:01:54.437340  7983 net.cpp:380] inception_4b/relu_3x3 <- inception_4b/3x3
I0506 01:01:54.437345  7983 net.cpp:327] inception_4b/relu_3x3 -> inception_4b/3x3 (in-place)
I0506 01:01:54.437350  7983 net.cpp:113] Setting up inception_4b/relu_3x3
I0506 01:01:54.437355  7983 net.cpp:120] Top shape: 16 224 14 14 (702464)
I0506 01:01:54.437360  7983 layer_factory.hpp:74] Creating layer inception_4b/5x5_reduce
I0506 01:01:54.437368  7983 net.cpp:84] Creating Layer inception_4b/5x5_reduce
I0506 01:01:54.437373  7983 net.cpp:380] inception_4b/5x5_reduce <- inception_4a/output_inception_4a/output_0_split_3
I0506 01:01:54.437379  7983 net.cpp:338] inception_4b/5x5_reduce -> inception_4b/5x5_reduce
I0506 01:01:54.437386  7983 net.cpp:113] Setting up inception_4b/5x5_reduce
I0506 01:01:54.437494  7983 net.cpp:120] Top shape: 16 24 14 14 (75264)
I0506 01:01:54.437502  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_5x5_reduce
I0506 01:01:54.437510  7983 net.cpp:84] Creating Layer inception_4b/relu_5x5_reduce
I0506 01:01:54.437515  7983 net.cpp:380] inception_4b/relu_5x5_reduce <- inception_4b/5x5_reduce
I0506 01:01:54.437520  7983 net.cpp:327] inception_4b/relu_5x5_reduce -> inception_4b/5x5_reduce (in-place)
I0506 01:01:54.437525  7983 net.cpp:113] Setting up inception_4b/relu_5x5_reduce
I0506 01:01:54.437531  7983 net.cpp:120] Top shape: 16 24 14 14 (75264)
I0506 01:01:54.437536  7983 layer_factory.hpp:74] Creating layer inception_4b/5x5
I0506 01:01:54.437542  7983 net.cpp:84] Creating Layer inception_4b/5x5
I0506 01:01:54.437546  7983 net.cpp:380] inception_4b/5x5 <- inception_4b/5x5_reduce
I0506 01:01:54.437553  7983 net.cpp:338] inception_4b/5x5 -> inception_4b/5x5
I0506 01:01:54.437561  7983 net.cpp:113] Setting up inception_4b/5x5
I0506 01:01:54.437870  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.437878  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_5x5
I0506 01:01:54.437885  7983 net.cpp:84] Creating Layer inception_4b/relu_5x5
I0506 01:01:54.437888  7983 net.cpp:380] inception_4b/relu_5x5 <- inception_4b/5x5
I0506 01:01:54.437896  7983 net.cpp:327] inception_4b/relu_5x5 -> inception_4b/5x5 (in-place)
I0506 01:01:54.437901  7983 net.cpp:113] Setting up inception_4b/relu_5x5
I0506 01:01:54.437907  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.437911  7983 layer_factory.hpp:74] Creating layer inception_4b/pool
I0506 01:01:54.437917  7983 net.cpp:84] Creating Layer inception_4b/pool
I0506 01:01:54.437922  7983 net.cpp:380] inception_4b/pool <- inception_4a/output_inception_4a/output_0_split_4
I0506 01:01:54.437928  7983 net.cpp:338] inception_4b/pool -> inception_4b/pool
I0506 01:01:54.437934  7983 net.cpp:113] Setting up inception_4b/pool
I0506 01:01:54.437943  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.437948  7983 layer_factory.hpp:74] Creating layer inception_4b/pool_proj
I0506 01:01:54.437957  7983 net.cpp:84] Creating Layer inception_4b/pool_proj
I0506 01:01:54.437961  7983 net.cpp:380] inception_4b/pool_proj <- inception_4b/pool
I0506 01:01:54.437968  7983 net.cpp:338] inception_4b/pool_proj -> inception_4b/pool_proj
I0506 01:01:54.437976  7983 net.cpp:113] Setting up inception_4b/pool_proj
I0506 01:01:54.438237  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.438246  7983 layer_factory.hpp:74] Creating layer inception_4b/relu_pool_proj
I0506 01:01:54.438251  7983 net.cpp:84] Creating Layer inception_4b/relu_pool_proj
I0506 01:01:54.438256  7983 net.cpp:380] inception_4b/relu_pool_proj <- inception_4b/pool_proj
I0506 01:01:54.438263  7983 net.cpp:327] inception_4b/relu_pool_proj -> inception_4b/pool_proj (in-place)
I0506 01:01:54.438269  7983 net.cpp:113] Setting up inception_4b/relu_pool_proj
I0506 01:01:54.438276  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.438279  7983 layer_factory.hpp:74] Creating layer inception_4b/output
I0506 01:01:54.438287  7983 net.cpp:84] Creating Layer inception_4b/output
I0506 01:01:54.438290  7983 net.cpp:380] inception_4b/output <- inception_4b/1x1
I0506 01:01:54.438294  7983 net.cpp:380] inception_4b/output <- inception_4b/3x3
I0506 01:01:54.438299  7983 net.cpp:380] inception_4b/output <- inception_4b/5x5
I0506 01:01:54.438304  7983 net.cpp:380] inception_4b/output <- inception_4b/pool_proj
I0506 01:01:54.438312  7983 net.cpp:338] inception_4b/output -> inception_4b/output
I0506 01:01:54.438318  7983 net.cpp:113] Setting up inception_4b/output
I0506 01:01:54.438326  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.438331  7983 layer_factory.hpp:74] Creating layer inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.438338  7983 net.cpp:84] Creating Layer inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.438341  7983 net.cpp:380] inception_4b/output_inception_4b/output_0_split <- inception_4b/output
I0506 01:01:54.438347  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_0
I0506 01:01:54.438354  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_1
I0506 01:01:54.438361  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_2
I0506 01:01:54.438369  7983 net.cpp:338] inception_4b/output_inception_4b/output_0_split -> inception_4b/output_inception_4b/output_0_split_3
I0506 01:01:54.438374  7983 net.cpp:113] Setting up inception_4b/output_inception_4b/output_0_split
I0506 01:01:54.438383  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.438388  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.438393  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.438398  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.438402  7983 layer_factory.hpp:74] Creating layer inception_4c/1x1
I0506 01:01:54.438410  7983 net.cpp:84] Creating Layer inception_4c/1x1
I0506 01:01:54.438413  7983 net.cpp:380] inception_4c/1x1 <- inception_4b/output_inception_4b/output_0_split_0
I0506 01:01:54.438422  7983 net.cpp:338] inception_4c/1x1 -> inception_4c/1x1
I0506 01:01:54.438429  7983 net.cpp:113] Setting up inception_4c/1x1
I0506 01:01:54.438940  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.438948  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_1x1
I0506 01:01:54.438954  7983 net.cpp:84] Creating Layer inception_4c/relu_1x1
I0506 01:01:54.438959  7983 net.cpp:380] inception_4c/relu_1x1 <- inception_4c/1x1
I0506 01:01:54.438966  7983 net.cpp:327] inception_4c/relu_1x1 -> inception_4c/1x1 (in-place)
I0506 01:01:54.438972  7983 net.cpp:113] Setting up inception_4c/relu_1x1
I0506 01:01:54.438978  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.438982  7983 layer_factory.hpp:74] Creating layer inception_4c/3x3_reduce
I0506 01:01:54.438989  7983 net.cpp:84] Creating Layer inception_4c/3x3_reduce
I0506 01:01:54.438993  7983 net.cpp:380] inception_4c/3x3_reduce <- inception_4b/output_inception_4b/output_0_split_1
I0506 01:01:54.439002  7983 net.cpp:338] inception_4c/3x3_reduce -> inception_4c/3x3_reduce
I0506 01:01:54.439008  7983 net.cpp:113] Setting up inception_4c/3x3_reduce
I0506 01:01:54.439517  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.439527  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_3x3_reduce
I0506 01:01:54.439532  7983 net.cpp:84] Creating Layer inception_4c/relu_3x3_reduce
I0506 01:01:54.439538  7983 net.cpp:380] inception_4c/relu_3x3_reduce <- inception_4c/3x3_reduce
I0506 01:01:54.439543  7983 net.cpp:327] inception_4c/relu_3x3_reduce -> inception_4c/3x3_reduce (in-place)
I0506 01:01:54.439549  7983 net.cpp:113] Setting up inception_4c/relu_3x3_reduce
I0506 01:01:54.439554  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.439558  7983 layer_factory.hpp:74] Creating layer inception_4c/3x3
I0506 01:01:54.439568  7983 net.cpp:84] Creating Layer inception_4c/3x3
I0506 01:01:54.439571  7983 net.cpp:380] inception_4c/3x3 <- inception_4c/3x3_reduce
I0506 01:01:54.439579  7983 net.cpp:338] inception_4c/3x3 -> inception_4c/3x3
I0506 01:01:54.439586  7983 net.cpp:113] Setting up inception_4c/3x3
I0506 01:01:54.441828  7983 net.cpp:120] Top shape: 16 256 14 14 (802816)
I0506 01:01:54.441846  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_3x3
I0506 01:01:54.441854  7983 net.cpp:84] Creating Layer inception_4c/relu_3x3
I0506 01:01:54.441858  7983 net.cpp:380] inception_4c/relu_3x3 <- inception_4c/3x3
I0506 01:01:54.441865  7983 net.cpp:327] inception_4c/relu_3x3 -> inception_4c/3x3 (in-place)
I0506 01:01:54.441871  7983 net.cpp:113] Setting up inception_4c/relu_3x3
I0506 01:01:54.441877  7983 net.cpp:120] Top shape: 16 256 14 14 (802816)
I0506 01:01:54.441881  7983 layer_factory.hpp:74] Creating layer inception_4c/5x5_reduce
I0506 01:01:54.441889  7983 net.cpp:84] Creating Layer inception_4c/5x5_reduce
I0506 01:01:54.441894  7983 net.cpp:380] inception_4c/5x5_reduce <- inception_4b/output_inception_4b/output_0_split_2
I0506 01:01:54.441901  7983 net.cpp:338] inception_4c/5x5_reduce -> inception_4c/5x5_reduce
I0506 01:01:54.441908  7983 net.cpp:113] Setting up inception_4c/5x5_reduce
I0506 01:01:54.442014  7983 net.cpp:120] Top shape: 16 24 14 14 (75264)
I0506 01:01:54.442023  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_5x5_reduce
I0506 01:01:54.442030  7983 net.cpp:84] Creating Layer inception_4c/relu_5x5_reduce
I0506 01:01:54.442034  7983 net.cpp:380] inception_4c/relu_5x5_reduce <- inception_4c/5x5_reduce
I0506 01:01:54.442040  7983 net.cpp:327] inception_4c/relu_5x5_reduce -> inception_4c/5x5_reduce (in-place)
I0506 01:01:54.442046  7983 net.cpp:113] Setting up inception_4c/relu_5x5_reduce
I0506 01:01:54.442052  7983 net.cpp:120] Top shape: 16 24 14 14 (75264)
I0506 01:01:54.442056  7983 layer_factory.hpp:74] Creating layer inception_4c/5x5
I0506 01:01:54.442065  7983 net.cpp:84] Creating Layer inception_4c/5x5
I0506 01:01:54.442069  7983 net.cpp:380] inception_4c/5x5 <- inception_4c/5x5_reduce
I0506 01:01:54.442075  7983 net.cpp:338] inception_4c/5x5 -> inception_4c/5x5
I0506 01:01:54.442081  7983 net.cpp:113] Setting up inception_4c/5x5
I0506 01:01:54.442387  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.442396  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_5x5
I0506 01:01:54.442402  7983 net.cpp:84] Creating Layer inception_4c/relu_5x5
I0506 01:01:54.442406  7983 net.cpp:380] inception_4c/relu_5x5 <- inception_4c/5x5
I0506 01:01:54.442414  7983 net.cpp:327] inception_4c/relu_5x5 -> inception_4c/5x5 (in-place)
I0506 01:01:54.442420  7983 net.cpp:113] Setting up inception_4c/relu_5x5
I0506 01:01:54.442425  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.442430  7983 layer_factory.hpp:74] Creating layer inception_4c/pool
I0506 01:01:54.442435  7983 net.cpp:84] Creating Layer inception_4c/pool
I0506 01:01:54.442440  7983 net.cpp:380] inception_4c/pool <- inception_4b/output_inception_4b/output_0_split_3
I0506 01:01:54.442445  7983 net.cpp:338] inception_4c/pool -> inception_4c/pool
I0506 01:01:54.442452  7983 net.cpp:113] Setting up inception_4c/pool
I0506 01:01:54.442462  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442466  7983 layer_factory.hpp:74] Creating layer inception_4c/pool_proj
I0506 01:01:54.442474  7983 net.cpp:84] Creating Layer inception_4c/pool_proj
I0506 01:01:54.442478  7983 net.cpp:380] inception_4c/pool_proj <- inception_4c/pool
I0506 01:01:54.442484  7983 net.cpp:338] inception_4c/pool_proj -> inception_4c/pool_proj
I0506 01:01:54.442492  7983 net.cpp:113] Setting up inception_4c/pool_proj
I0506 01:01:54.442754  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.442764  7983 layer_factory.hpp:74] Creating layer inception_4c/relu_pool_proj
I0506 01:01:54.442770  7983 net.cpp:84] Creating Layer inception_4c/relu_pool_proj
I0506 01:01:54.442773  7983 net.cpp:380] inception_4c/relu_pool_proj <- inception_4c/pool_proj
I0506 01:01:54.442780  7983 net.cpp:327] inception_4c/relu_pool_proj -> inception_4c/pool_proj (in-place)
I0506 01:01:54.442785  7983 net.cpp:113] Setting up inception_4c/relu_pool_proj
I0506 01:01:54.442790  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.442795  7983 layer_factory.hpp:74] Creating layer inception_4c/output
I0506 01:01:54.442800  7983 net.cpp:84] Creating Layer inception_4c/output
I0506 01:01:54.442805  7983 net.cpp:380] inception_4c/output <- inception_4c/1x1
I0506 01:01:54.442809  7983 net.cpp:380] inception_4c/output <- inception_4c/3x3
I0506 01:01:54.442814  7983 net.cpp:380] inception_4c/output <- inception_4c/5x5
I0506 01:01:54.442819  7983 net.cpp:380] inception_4c/output <- inception_4c/pool_proj
I0506 01:01:54.442826  7983 net.cpp:338] inception_4c/output -> inception_4c/output
I0506 01:01:54.442832  7983 net.cpp:113] Setting up inception_4c/output
I0506 01:01:54.442839  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442843  7983 layer_factory.hpp:74] Creating layer inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.442850  7983 net.cpp:84] Creating Layer inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.442854  7983 net.cpp:380] inception_4c/output_inception_4c/output_0_split <- inception_4c/output
I0506 01:01:54.442860  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_0
I0506 01:01:54.442868  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_1
I0506 01:01:54.442877  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_2
I0506 01:01:54.442883  7983 net.cpp:338] inception_4c/output_inception_4c/output_0_split -> inception_4c/output_inception_4c/output_0_split_3
I0506 01:01:54.442889  7983 net.cpp:113] Setting up inception_4c/output_inception_4c/output_0_split
I0506 01:01:54.442896  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442901  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442905  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442910  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.442914  7983 layer_factory.hpp:74] Creating layer inception_4d/1x1
I0506 01:01:54.442921  7983 net.cpp:84] Creating Layer inception_4d/1x1
I0506 01:01:54.442925  7983 net.cpp:380] inception_4d/1x1 <- inception_4c/output_inception_4c/output_0_split_0
I0506 01:01:54.442934  7983 net.cpp:338] inception_4d/1x1 -> inception_4d/1x1
I0506 01:01:54.442940  7983 net.cpp:113] Setting up inception_4d/1x1
I0506 01:01:54.443392  7983 net.cpp:120] Top shape: 16 112 14 14 (351232)
I0506 01:01:54.443400  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_1x1
I0506 01:01:54.443406  7983 net.cpp:84] Creating Layer inception_4d/relu_1x1
I0506 01:01:54.443410  7983 net.cpp:380] inception_4d/relu_1x1 <- inception_4d/1x1
I0506 01:01:54.443418  7983 net.cpp:327] inception_4d/relu_1x1 -> inception_4d/1x1 (in-place)
I0506 01:01:54.443423  7983 net.cpp:113] Setting up inception_4d/relu_1x1
I0506 01:01:54.443429  7983 net.cpp:120] Top shape: 16 112 14 14 (351232)
I0506 01:01:54.443434  7983 layer_factory.hpp:74] Creating layer inception_4d/3x3_reduce
I0506 01:01:54.443440  7983 net.cpp:84] Creating Layer inception_4d/3x3_reduce
I0506 01:01:54.443444  7983 net.cpp:380] inception_4d/3x3_reduce <- inception_4c/output_inception_4c/output_0_split_1
I0506 01:01:54.443452  7983 net.cpp:338] inception_4d/3x3_reduce -> inception_4d/3x3_reduce
I0506 01:01:54.443459  7983 net.cpp:113] Setting up inception_4d/3x3_reduce
I0506 01:01:54.444030  7983 net.cpp:120] Top shape: 16 144 14 14 (451584)
I0506 01:01:54.444038  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_3x3_reduce
I0506 01:01:54.444044  7983 net.cpp:84] Creating Layer inception_4d/relu_3x3_reduce
I0506 01:01:54.444048  7983 net.cpp:380] inception_4d/relu_3x3_reduce <- inception_4d/3x3_reduce
I0506 01:01:54.444056  7983 net.cpp:327] inception_4d/relu_3x3_reduce -> inception_4d/3x3_reduce (in-place)
I0506 01:01:54.444061  7983 net.cpp:113] Setting up inception_4d/relu_3x3_reduce
I0506 01:01:54.444067  7983 net.cpp:120] Top shape: 16 144 14 14 (451584)
I0506 01:01:54.444072  7983 layer_factory.hpp:74] Creating layer inception_4d/3x3
I0506 01:01:54.444078  7983 net.cpp:84] Creating Layer inception_4d/3x3
I0506 01:01:54.444082  7983 net.cpp:380] inception_4d/3x3 <- inception_4d/3x3_reduce
I0506 01:01:54.444088  7983 net.cpp:338] inception_4d/3x3 -> inception_4d/3x3
I0506 01:01:54.444095  7983 net.cpp:113] Setting up inception_4d/3x3
I0506 01:01:54.446930  7983 net.cpp:120] Top shape: 16 288 14 14 (903168)
I0506 01:01:54.446943  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_3x3
I0506 01:01:54.446949  7983 net.cpp:84] Creating Layer inception_4d/relu_3x3
I0506 01:01:54.446954  7983 net.cpp:380] inception_4d/relu_3x3 <- inception_4d/3x3
I0506 01:01:54.446961  7983 net.cpp:327] inception_4d/relu_3x3 -> inception_4d/3x3 (in-place)
I0506 01:01:54.446967  7983 net.cpp:113] Setting up inception_4d/relu_3x3
I0506 01:01:54.446974  7983 net.cpp:120] Top shape: 16 288 14 14 (903168)
I0506 01:01:54.446977  7983 layer_factory.hpp:74] Creating layer inception_4d/5x5_reduce
I0506 01:01:54.446985  7983 net.cpp:84] Creating Layer inception_4d/5x5_reduce
I0506 01:01:54.446988  7983 net.cpp:380] inception_4d/5x5_reduce <- inception_4c/output_inception_4c/output_0_split_2
I0506 01:01:54.446995  7983 net.cpp:338] inception_4d/5x5_reduce -> inception_4d/5x5_reduce
I0506 01:01:54.447002  7983 net.cpp:113] Setting up inception_4d/5x5_reduce
I0506 01:01:54.447141  7983 net.cpp:120] Top shape: 16 32 14 14 (100352)
I0506 01:01:54.447149  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_5x5_reduce
I0506 01:01:54.447155  7983 net.cpp:84] Creating Layer inception_4d/relu_5x5_reduce
I0506 01:01:54.447160  7983 net.cpp:380] inception_4d/relu_5x5_reduce <- inception_4d/5x5_reduce
I0506 01:01:54.447165  7983 net.cpp:327] inception_4d/relu_5x5_reduce -> inception_4d/5x5_reduce (in-place)
I0506 01:01:54.447170  7983 net.cpp:113] Setting up inception_4d/relu_5x5_reduce
I0506 01:01:54.447176  7983 net.cpp:120] Top shape: 16 32 14 14 (100352)
I0506 01:01:54.447180  7983 layer_factory.hpp:74] Creating layer inception_4d/5x5
I0506 01:01:54.447187  7983 net.cpp:84] Creating Layer inception_4d/5x5
I0506 01:01:54.447191  7983 net.cpp:380] inception_4d/5x5 <- inception_4d/5x5_reduce
I0506 01:01:54.447199  7983 net.cpp:338] inception_4d/5x5 -> inception_4d/5x5
I0506 01:01:54.447206  7983 net.cpp:113] Setting up inception_4d/5x5
I0506 01:01:54.447610  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.447620  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_5x5
I0506 01:01:54.447626  7983 net.cpp:84] Creating Layer inception_4d/relu_5x5
I0506 01:01:54.447630  7983 net.cpp:380] inception_4d/relu_5x5 <- inception_4d/5x5
I0506 01:01:54.447638  7983 net.cpp:327] inception_4d/relu_5x5 -> inception_4d/5x5 (in-place)
I0506 01:01:54.447643  7983 net.cpp:113] Setting up inception_4d/relu_5x5
I0506 01:01:54.447649  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.447654  7983 layer_factory.hpp:74] Creating layer inception_4d/pool
I0506 01:01:54.447659  7983 net.cpp:84] Creating Layer inception_4d/pool
I0506 01:01:54.447664  7983 net.cpp:380] inception_4d/pool <- inception_4c/output_inception_4c/output_0_split_3
I0506 01:01:54.447670  7983 net.cpp:338] inception_4d/pool -> inception_4d/pool
I0506 01:01:54.447676  7983 net.cpp:113] Setting up inception_4d/pool
I0506 01:01:54.447687  7983 net.cpp:120] Top shape: 16 512 14 14 (1605632)
I0506 01:01:54.447691  7983 layer_factory.hpp:74] Creating layer inception_4d/pool_proj
I0506 01:01:54.447698  7983 net.cpp:84] Creating Layer inception_4d/pool_proj
I0506 01:01:54.447703  7983 net.cpp:380] inception_4d/pool_proj <- inception_4d/pool
I0506 01:01:54.447711  7983 net.cpp:338] inception_4d/pool_proj -> inception_4d/pool_proj
I0506 01:01:54.447718  7983 net.cpp:113] Setting up inception_4d/pool_proj
I0506 01:01:54.447984  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.447994  7983 layer_factory.hpp:74] Creating layer inception_4d/relu_pool_proj
I0506 01:01:54.448000  7983 net.cpp:84] Creating Layer inception_4d/relu_pool_proj
I0506 01:01:54.448004  7983 net.cpp:380] inception_4d/relu_pool_proj <- inception_4d/pool_proj
I0506 01:01:54.448010  7983 net.cpp:327] inception_4d/relu_pool_proj -> inception_4d/pool_proj (in-place)
I0506 01:01:54.448016  7983 net.cpp:113] Setting up inception_4d/relu_pool_proj
I0506 01:01:54.448021  7983 net.cpp:120] Top shape: 16 64 14 14 (200704)
I0506 01:01:54.448025  7983 layer_factory.hpp:74] Creating layer inception_4d/output
I0506 01:01:54.448032  7983 net.cpp:84] Creating Layer inception_4d/output
I0506 01:01:54.448037  7983 net.cpp:380] inception_4d/output <- inception_4d/1x1
I0506 01:01:54.448042  7983 net.cpp:380] inception_4d/output <- inception_4d/3x3
I0506 01:01:54.448047  7983 net.cpp:380] inception_4d/output <- inception_4d/5x5
I0506 01:01:54.448052  7983 net.cpp:380] inception_4d/output <- inception_4d/pool_proj
I0506 01:01:54.448060  7983 net.cpp:338] inception_4d/output -> inception_4d/output
I0506 01:01:54.448066  7983 net.cpp:113] Setting up inception_4d/output
I0506 01:01:54.448076  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448079  7983 layer_factory.hpp:74] Creating layer inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.448086  7983 net.cpp:84] Creating Layer inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.448091  7983 net.cpp:380] inception_4d/output_inception_4d/output_0_split <- inception_4d/output
I0506 01:01:54.448096  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_0
I0506 01:01:54.448106  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_1
I0506 01:01:54.448112  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_2
I0506 01:01:54.448120  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_3
I0506 01:01:54.448127  7983 net.cpp:338] inception_4d/output_inception_4d/output_0_split -> inception_4d/output_inception_4d/output_0_split_4
I0506 01:01:54.448133  7983 net.cpp:113] Setting up inception_4d/output_inception_4d/output_0_split
I0506 01:01:54.448142  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448146  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448151  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448156  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448160  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.448164  7983 layer_factory.hpp:74] Creating layer loss2/ave_pool
I0506 01:01:54.448173  7983 net.cpp:84] Creating Layer loss2/ave_pool
I0506 01:01:54.448176  7983 net.cpp:380] loss2/ave_pool <- inception_4d/output_inception_4d/output_0_split_0
I0506 01:01:54.448184  7983 net.cpp:338] loss2/ave_pool -> loss2/ave_pool
I0506 01:01:54.448190  7983 net.cpp:113] Setting up loss2/ave_pool
I0506 01:01:54.448199  7983 net.cpp:120] Top shape: 16 528 4 4 (135168)
I0506 01:01:54.448202  7983 layer_factory.hpp:74] Creating layer loss2/conv
I0506 01:01:54.448210  7983 net.cpp:84] Creating Layer loss2/conv
I0506 01:01:54.448215  7983 net.cpp:380] loss2/conv <- loss2/ave_pool
I0506 01:01:54.448221  7983 net.cpp:338] loss2/conv -> loss2/conv
I0506 01:01:54.448230  7983 net.cpp:113] Setting up loss2/conv
I0506 01:01:54.448773  7983 net.cpp:120] Top shape: 16 128 4 4 (32768)
I0506 01:01:54.448788  7983 layer_factory.hpp:74] Creating layer loss2/relu_conv
I0506 01:01:54.448796  7983 net.cpp:84] Creating Layer loss2/relu_conv
I0506 01:01:54.448801  7983 net.cpp:380] loss2/relu_conv <- loss2/conv
I0506 01:01:54.448808  7983 net.cpp:327] loss2/relu_conv -> loss2/conv (in-place)
I0506 01:01:54.448815  7983 net.cpp:113] Setting up loss2/relu_conv
I0506 01:01:54.448822  7983 net.cpp:120] Top shape: 16 128 4 4 (32768)
I0506 01:01:54.448825  7983 layer_factory.hpp:74] Creating layer loss2/fc
I0506 01:01:54.448833  7983 net.cpp:84] Creating Layer loss2/fc
I0506 01:01:54.448837  7983 net.cpp:380] loss2/fc <- loss2/conv
I0506 01:01:54.448843  7983 net.cpp:338] loss2/fc -> loss2/fc
I0506 01:01:54.448853  7983 net.cpp:113] Setting up loss2/fc
I0506 01:01:54.464325  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.464354  7983 layer_factory.hpp:74] Creating layer loss2/relu_fc
I0506 01:01:54.464364  7983 net.cpp:84] Creating Layer loss2/relu_fc
I0506 01:01:54.464370  7983 net.cpp:380] loss2/relu_fc <- loss2/fc
I0506 01:01:54.464380  7983 net.cpp:327] loss2/relu_fc -> loss2/fc (in-place)
I0506 01:01:54.464388  7983 net.cpp:113] Setting up loss2/relu_fc
I0506 01:01:54.464395  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.464400  7983 layer_factory.hpp:74] Creating layer loss2/drop_fc
I0506 01:01:54.464407  7983 net.cpp:84] Creating Layer loss2/drop_fc
I0506 01:01:54.464411  7983 net.cpp:380] loss2/drop_fc <- loss2/fc
I0506 01:01:54.464416  7983 net.cpp:327] loss2/drop_fc -> loss2/fc (in-place)
I0506 01:01:54.464423  7983 net.cpp:113] Setting up loss2/drop_fc
I0506 01:01:54.464431  7983 net.cpp:120] Top shape: 16 1024 (16384)
I0506 01:01:54.464434  7983 layer_factory.hpp:74] Creating layer loss2/classifier
I0506 01:01:54.464443  7983 net.cpp:84] Creating Layer loss2/classifier
I0506 01:01:54.464447  7983 net.cpp:380] loss2/classifier <- loss2/fc
I0506 01:01:54.464455  7983 net.cpp:338] loss2/classifier -> loss2/classifier
I0506 01:01:54.464464  7983 net.cpp:113] Setting up loss2/classifier
I0506 01:01:54.464526  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.464534  7983 layer_factory.hpp:74] Creating layer loss2/classifier_loss2/classifier_0_split
I0506 01:01:54.464541  7983 net.cpp:84] Creating Layer loss2/classifier_loss2/classifier_0_split
I0506 01:01:54.464546  7983 net.cpp:380] loss2/classifier_loss2/classifier_0_split <- loss2/classifier
I0506 01:01:54.464552  7983 net.cpp:338] loss2/classifier_loss2/classifier_0_split -> loss2/classifier_loss2/classifier_0_split_0
I0506 01:01:54.464560  7983 net.cpp:338] loss2/classifier_loss2/classifier_0_split -> loss2/classifier_loss2/classifier_0_split_1
I0506 01:01:54.464567  7983 net.cpp:338] loss2/classifier_loss2/classifier_0_split -> loss2/classifier_loss2/classifier_0_split_2
I0506 01:01:54.464573  7983 net.cpp:113] Setting up loss2/classifier_loss2/classifier_0_split
I0506 01:01:54.464581  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.464586  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.464591  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.464594  7983 layer_factory.hpp:74] Creating layer loss2/loss
I0506 01:01:54.464602  7983 net.cpp:84] Creating Layer loss2/loss
I0506 01:01:54.464617  7983 net.cpp:380] loss2/loss <- loss2/classifier_loss2/classifier_0_split_0
I0506 01:01:54.464623  7983 net.cpp:380] loss2/loss <- label_data_1_split_3
I0506 01:01:54.464629  7983 net.cpp:338] loss2/loss -> loss2/loss1
I0506 01:01:54.464637  7983 net.cpp:113] Setting up loss2/loss
I0506 01:01:54.464643  7983 layer_factory.hpp:74] Creating layer loss2/loss
I0506 01:01:54.464658  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.464661  7983 net.cpp:122]     with loss weight 0.3
I0506 01:01:54.464678  7983 layer_factory.hpp:74] Creating layer loss2/top-1
I0506 01:01:54.464687  7983 net.cpp:84] Creating Layer loss2/top-1
I0506 01:01:54.464692  7983 net.cpp:380] loss2/top-1 <- loss2/classifier_loss2/classifier_0_split_1
I0506 01:01:54.464697  7983 net.cpp:380] loss2/top-1 <- label_data_1_split_4
I0506 01:01:54.464704  7983 net.cpp:338] loss2/top-1 -> loss2/top-1
I0506 01:01:54.464711  7983 net.cpp:113] Setting up loss2/top-1
I0506 01:01:54.464718  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.464722  7983 layer_factory.hpp:74] Creating layer loss2/top-2
I0506 01:01:54.464730  7983 net.cpp:84] Creating Layer loss2/top-2
I0506 01:01:54.464735  7983 net.cpp:380] loss2/top-2 <- loss2/classifier_loss2/classifier_0_split_2
I0506 01:01:54.464740  7983 net.cpp:380] loss2/top-2 <- label_data_1_split_5
I0506 01:01:54.464745  7983 net.cpp:338] loss2/top-2 -> loss2/top-2
I0506 01:01:54.464753  7983 net.cpp:113] Setting up loss2/top-2
I0506 01:01:54.464758  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.464763  7983 layer_factory.hpp:74] Creating layer inception_4e/1x1
I0506 01:01:54.464771  7983 net.cpp:84] Creating Layer inception_4e/1x1
I0506 01:01:54.464776  7983 net.cpp:380] inception_4e/1x1 <- inception_4d/output_inception_4d/output_0_split_1
I0506 01:01:54.464784  7983 net.cpp:338] inception_4e/1x1 -> inception_4e/1x1
I0506 01:01:54.464792  7983 net.cpp:113] Setting up inception_4e/1x1
I0506 01:01:54.466022  7983 net.cpp:120] Top shape: 16 256 14 14 (802816)
I0506 01:01:54.466032  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_1x1
I0506 01:01:54.466038  7983 net.cpp:84] Creating Layer inception_4e/relu_1x1
I0506 01:01:54.466043  7983 net.cpp:380] inception_4e/relu_1x1 <- inception_4e/1x1
I0506 01:01:54.466050  7983 net.cpp:327] inception_4e/relu_1x1 -> inception_4e/1x1 (in-place)
I0506 01:01:54.466056  7983 net.cpp:113] Setting up inception_4e/relu_1x1
I0506 01:01:54.466063  7983 net.cpp:120] Top shape: 16 256 14 14 (802816)
I0506 01:01:54.466066  7983 layer_factory.hpp:74] Creating layer inception_4e/3x3_reduce
I0506 01:01:54.466090  7983 net.cpp:84] Creating Layer inception_4e/3x3_reduce
I0506 01:01:54.466095  7983 net.cpp:380] inception_4e/3x3_reduce <- inception_4d/output_inception_4d/output_0_split_2
I0506 01:01:54.466104  7983 net.cpp:338] inception_4e/3x3_reduce -> inception_4e/3x3_reduce
I0506 01:01:54.466111  7983 net.cpp:113] Setting up inception_4e/3x3_reduce
I0506 01:01:54.466768  7983 net.cpp:120] Top shape: 16 160 14 14 (501760)
I0506 01:01:54.466778  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_3x3_reduce
I0506 01:01:54.466784  7983 net.cpp:84] Creating Layer inception_4e/relu_3x3_reduce
I0506 01:01:54.466789  7983 net.cpp:380] inception_4e/relu_3x3_reduce <- inception_4e/3x3_reduce
I0506 01:01:54.466794  7983 net.cpp:327] inception_4e/relu_3x3_reduce -> inception_4e/3x3_reduce (in-place)
I0506 01:01:54.466800  7983 net.cpp:113] Setting up inception_4e/relu_3x3_reduce
I0506 01:01:54.466805  7983 net.cpp:120] Top shape: 16 160 14 14 (501760)
I0506 01:01:54.466810  7983 layer_factory.hpp:74] Creating layer inception_4e/3x3
I0506 01:01:54.466819  7983 net.cpp:84] Creating Layer inception_4e/3x3
I0506 01:01:54.466823  7983 net.cpp:380] inception_4e/3x3 <- inception_4e/3x3_reduce
I0506 01:01:54.466830  7983 net.cpp:338] inception_4e/3x3 -> inception_4e/3x3
I0506 01:01:54.466837  7983 net.cpp:113] Setting up inception_4e/3x3
I0506 01:01:54.470361  7983 net.cpp:120] Top shape: 16 320 14 14 (1003520)
I0506 01:01:54.470372  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_3x3
I0506 01:01:54.470381  7983 net.cpp:84] Creating Layer inception_4e/relu_3x3
I0506 01:01:54.470386  7983 net.cpp:380] inception_4e/relu_3x3 <- inception_4e/3x3
I0506 01:01:54.470391  7983 net.cpp:327] inception_4e/relu_3x3 -> inception_4e/3x3 (in-place)
I0506 01:01:54.470397  7983 net.cpp:113] Setting up inception_4e/relu_3x3
I0506 01:01:54.470402  7983 net.cpp:120] Top shape: 16 320 14 14 (1003520)
I0506 01:01:54.470407  7983 layer_factory.hpp:74] Creating layer inception_4e/5x5_reduce
I0506 01:01:54.470415  7983 net.cpp:84] Creating Layer inception_4e/5x5_reduce
I0506 01:01:54.470419  7983 net.cpp:380] inception_4e/5x5_reduce <- inception_4d/output_inception_4d/output_0_split_3
I0506 01:01:54.470427  7983 net.cpp:338] inception_4e/5x5_reduce -> inception_4e/5x5_reduce
I0506 01:01:54.470434  7983 net.cpp:113] Setting up inception_4e/5x5_reduce
I0506 01:01:54.470576  7983 net.cpp:120] Top shape: 16 32 14 14 (100352)
I0506 01:01:54.470583  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_5x5_reduce
I0506 01:01:54.470589  7983 net.cpp:84] Creating Layer inception_4e/relu_5x5_reduce
I0506 01:01:54.470594  7983 net.cpp:380] inception_4e/relu_5x5_reduce <- inception_4e/5x5_reduce
I0506 01:01:54.470602  7983 net.cpp:327] inception_4e/relu_5x5_reduce -> inception_4e/5x5_reduce (in-place)
I0506 01:01:54.470607  7983 net.cpp:113] Setting up inception_4e/relu_5x5_reduce
I0506 01:01:54.470613  7983 net.cpp:120] Top shape: 16 32 14 14 (100352)
I0506 01:01:54.470616  7983 layer_factory.hpp:74] Creating layer inception_4e/5x5
I0506 01:01:54.470623  7983 net.cpp:84] Creating Layer inception_4e/5x5
I0506 01:01:54.470628  7983 net.cpp:380] inception_4e/5x5 <- inception_4e/5x5_reduce
I0506 01:01:54.470634  7983 net.cpp:338] inception_4e/5x5 -> inception_4e/5x5
I0506 01:01:54.470643  7983 net.cpp:113] Setting up inception_4e/5x5
I0506 01:01:54.471432  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.471441  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_5x5
I0506 01:01:54.471447  7983 net.cpp:84] Creating Layer inception_4e/relu_5x5
I0506 01:01:54.471452  7983 net.cpp:380] inception_4e/relu_5x5 <- inception_4e/5x5
I0506 01:01:54.471459  7983 net.cpp:327] inception_4e/relu_5x5 -> inception_4e/5x5 (in-place)
I0506 01:01:54.471465  7983 net.cpp:113] Setting up inception_4e/relu_5x5
I0506 01:01:54.471470  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.471474  7983 layer_factory.hpp:74] Creating layer inception_4e/pool
I0506 01:01:54.471482  7983 net.cpp:84] Creating Layer inception_4e/pool
I0506 01:01:54.471485  7983 net.cpp:380] inception_4e/pool <- inception_4d/output_inception_4d/output_0_split_4
I0506 01:01:54.471492  7983 net.cpp:338] inception_4e/pool -> inception_4e/pool
I0506 01:01:54.471498  7983 net.cpp:113] Setting up inception_4e/pool
I0506 01:01:54.471508  7983 net.cpp:120] Top shape: 16 528 14 14 (1655808)
I0506 01:01:54.471511  7983 layer_factory.hpp:74] Creating layer inception_4e/pool_proj
I0506 01:01:54.471520  7983 net.cpp:84] Creating Layer inception_4e/pool_proj
I0506 01:01:54.471524  7983 net.cpp:380] inception_4e/pool_proj <- inception_4e/pool
I0506 01:01:54.471532  7983 net.cpp:338] inception_4e/pool_proj -> inception_4e/pool_proj
I0506 01:01:54.471539  7983 net.cpp:113] Setting up inception_4e/pool_proj
I0506 01:01:54.472065  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.472074  7983 layer_factory.hpp:74] Creating layer inception_4e/relu_pool_proj
I0506 01:01:54.472082  7983 net.cpp:84] Creating Layer inception_4e/relu_pool_proj
I0506 01:01:54.472086  7983 net.cpp:380] inception_4e/relu_pool_proj <- inception_4e/pool_proj
I0506 01:01:54.472092  7983 net.cpp:327] inception_4e/relu_pool_proj -> inception_4e/pool_proj (in-place)
I0506 01:01:54.472098  7983 net.cpp:113] Setting up inception_4e/relu_pool_proj
I0506 01:01:54.472103  7983 net.cpp:120] Top shape: 16 128 14 14 (401408)
I0506 01:01:54.472107  7983 layer_factory.hpp:74] Creating layer inception_4e/output
I0506 01:01:54.472115  7983 net.cpp:84] Creating Layer inception_4e/output
I0506 01:01:54.472118  7983 net.cpp:380] inception_4e/output <- inception_4e/1x1
I0506 01:01:54.472123  7983 net.cpp:380] inception_4e/output <- inception_4e/3x3
I0506 01:01:54.472128  7983 net.cpp:380] inception_4e/output <- inception_4e/5x5
I0506 01:01:54.472133  7983 net.cpp:380] inception_4e/output <- inception_4e/pool_proj
I0506 01:01:54.472141  7983 net.cpp:338] inception_4e/output -> inception_4e/output
I0506 01:01:54.472147  7983 net.cpp:113] Setting up inception_4e/output
I0506 01:01:54.472156  7983 net.cpp:120] Top shape: 16 832 14 14 (2609152)
I0506 01:01:54.472160  7983 layer_factory.hpp:74] Creating layer pool4/3x3_s2
I0506 01:01:54.472167  7983 net.cpp:84] Creating Layer pool4/3x3_s2
I0506 01:01:54.472172  7983 net.cpp:380] pool4/3x3_s2 <- inception_4e/output
I0506 01:01:54.472177  7983 net.cpp:338] pool4/3x3_s2 -> pool4/3x3_s2
I0506 01:01:54.472183  7983 net.cpp:113] Setting up pool4/3x3_s2
I0506 01:01:54.472192  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.472195  7983 layer_factory.hpp:74] Creating layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.472203  7983 net.cpp:84] Creating Layer pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.472208  7983 net.cpp:380] pool4/3x3_s2_pool4/3x3_s2_0_split <- pool4/3x3_s2
I0506 01:01:54.472213  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_0
I0506 01:01:54.472220  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_1
I0506 01:01:54.472229  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_2
I0506 01:01:54.472249  7983 net.cpp:338] pool4/3x3_s2_pool4/3x3_s2_0_split -> pool4/3x3_s2_pool4/3x3_s2_0_split_3
I0506 01:01:54.472256  7983 net.cpp:113] Setting up pool4/3x3_s2_pool4/3x3_s2_0_split
I0506 01:01:54.472264  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.472268  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.472275  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.472280  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.472283  7983 layer_factory.hpp:74] Creating layer inception_5a/1x1
I0506 01:01:54.472290  7983 net.cpp:84] Creating Layer inception_5a/1x1
I0506 01:01:54.472295  7983 net.cpp:380] inception_5a/1x1 <- pool4/3x3_s2_pool4/3x3_s2_0_split_0
I0506 01:01:54.472303  7983 net.cpp:338] inception_5a/1x1 -> inception_5a/1x1
I0506 01:01:54.472311  7983 net.cpp:113] Setting up inception_5a/1x1
I0506 01:01:54.473942  7983 net.cpp:120] Top shape: 16 256 7 7 (200704)
I0506 01:01:54.473951  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_1x1
I0506 01:01:54.473958  7983 net.cpp:84] Creating Layer inception_5a/relu_1x1
I0506 01:01:54.473961  7983 net.cpp:380] inception_5a/relu_1x1 <- inception_5a/1x1
I0506 01:01:54.473968  7983 net.cpp:327] inception_5a/relu_1x1 -> inception_5a/1x1 (in-place)
I0506 01:01:54.473973  7983 net.cpp:113] Setting up inception_5a/relu_1x1
I0506 01:01:54.473978  7983 net.cpp:120] Top shape: 16 256 7 7 (200704)
I0506 01:01:54.473983  7983 layer_factory.hpp:74] Creating layer inception_5a/3x3_reduce
I0506 01:01:54.473991  7983 net.cpp:84] Creating Layer inception_5a/3x3_reduce
I0506 01:01:54.473995  7983 net.cpp:380] inception_5a/3x3_reduce <- pool4/3x3_s2_pool4/3x3_s2_0_split_1
I0506 01:01:54.474004  7983 net.cpp:338] inception_5a/3x3_reduce -> inception_5a/3x3_reduce
I0506 01:01:54.474011  7983 net.cpp:113] Setting up inception_5a/3x3_reduce
I0506 01:01:54.475031  7983 net.cpp:120] Top shape: 16 160 7 7 (125440)
I0506 01:01:54.475041  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_3x3_reduce
I0506 01:01:54.475047  7983 net.cpp:84] Creating Layer inception_5a/relu_3x3_reduce
I0506 01:01:54.475051  7983 net.cpp:380] inception_5a/relu_3x3_reduce <- inception_5a/3x3_reduce
I0506 01:01:54.475059  7983 net.cpp:327] inception_5a/relu_3x3_reduce -> inception_5a/3x3_reduce (in-place)
I0506 01:01:54.475065  7983 net.cpp:113] Setting up inception_5a/relu_3x3_reduce
I0506 01:01:54.475070  7983 net.cpp:120] Top shape: 16 160 7 7 (125440)
I0506 01:01:54.475075  7983 layer_factory.hpp:74] Creating layer inception_5a/3x3
I0506 01:01:54.475081  7983 net.cpp:84] Creating Layer inception_5a/3x3
I0506 01:01:54.475085  7983 net.cpp:380] inception_5a/3x3 <- inception_5a/3x3_reduce
I0506 01:01:54.475093  7983 net.cpp:338] inception_5a/3x3 -> inception_5a/3x3
I0506 01:01:54.475100  7983 net.cpp:113] Setting up inception_5a/3x3
I0506 01:01:54.478596  7983 net.cpp:120] Top shape: 16 320 7 7 (250880)
I0506 01:01:54.478607  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_3x3
I0506 01:01:54.478613  7983 net.cpp:84] Creating Layer inception_5a/relu_3x3
I0506 01:01:54.478618  7983 net.cpp:380] inception_5a/relu_3x3 <- inception_5a/3x3
I0506 01:01:54.478626  7983 net.cpp:327] inception_5a/relu_3x3 -> inception_5a/3x3 (in-place)
I0506 01:01:54.478631  7983 net.cpp:113] Setting up inception_5a/relu_3x3
I0506 01:01:54.478637  7983 net.cpp:120] Top shape: 16 320 7 7 (250880)
I0506 01:01:54.478641  7983 layer_factory.hpp:74] Creating layer inception_5a/5x5_reduce
I0506 01:01:54.478648  7983 net.cpp:84] Creating Layer inception_5a/5x5_reduce
I0506 01:01:54.478653  7983 net.cpp:380] inception_5a/5x5_reduce <- pool4/3x3_s2_pool4/3x3_s2_0_split_2
I0506 01:01:54.478662  7983 net.cpp:338] inception_5a/5x5_reduce -> inception_5a/5x5_reduce
I0506 01:01:54.478668  7983 net.cpp:113] Setting up inception_5a/5x5_reduce
I0506 01:01:54.478884  7983 net.cpp:120] Top shape: 16 32 7 7 (25088)
I0506 01:01:54.478893  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_5x5_reduce
I0506 01:01:54.478899  7983 net.cpp:84] Creating Layer inception_5a/relu_5x5_reduce
I0506 01:01:54.478904  7983 net.cpp:380] inception_5a/relu_5x5_reduce <- inception_5a/5x5_reduce
I0506 01:01:54.478909  7983 net.cpp:327] inception_5a/relu_5x5_reduce -> inception_5a/5x5_reduce (in-place)
I0506 01:01:54.478915  7983 net.cpp:113] Setting up inception_5a/relu_5x5_reduce
I0506 01:01:54.478920  7983 net.cpp:120] Top shape: 16 32 7 7 (25088)
I0506 01:01:54.478924  7983 layer_factory.hpp:74] Creating layer inception_5a/5x5
I0506 01:01:54.478931  7983 net.cpp:84] Creating Layer inception_5a/5x5
I0506 01:01:54.478935  7983 net.cpp:380] inception_5a/5x5 <- inception_5a/5x5_reduce
I0506 01:01:54.478943  7983 net.cpp:338] inception_5a/5x5 -> inception_5a/5x5
I0506 01:01:54.478951  7983 net.cpp:113] Setting up inception_5a/5x5
I0506 01:01:54.479739  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.479748  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_5x5
I0506 01:01:54.479754  7983 net.cpp:84] Creating Layer inception_5a/relu_5x5
I0506 01:01:54.479758  7983 net.cpp:380] inception_5a/relu_5x5 <- inception_5a/5x5
I0506 01:01:54.479764  7983 net.cpp:327] inception_5a/relu_5x5 -> inception_5a/5x5 (in-place)
I0506 01:01:54.479769  7983 net.cpp:113] Setting up inception_5a/relu_5x5
I0506 01:01:54.479775  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.479779  7983 layer_factory.hpp:74] Creating layer inception_5a/pool
I0506 01:01:54.479786  7983 net.cpp:84] Creating Layer inception_5a/pool
I0506 01:01:54.479791  7983 net.cpp:380] inception_5a/pool <- pool4/3x3_s2_pool4/3x3_s2_0_split_3
I0506 01:01:54.479797  7983 net.cpp:338] inception_5a/pool -> inception_5a/pool
I0506 01:01:54.479804  7983 net.cpp:113] Setting up inception_5a/pool
I0506 01:01:54.479811  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.479816  7983 layer_factory.hpp:74] Creating layer inception_5a/pool_proj
I0506 01:01:54.479825  7983 net.cpp:84] Creating Layer inception_5a/pool_proj
I0506 01:01:54.479830  7983 net.cpp:380] inception_5a/pool_proj <- inception_5a/pool
I0506 01:01:54.479835  7983 net.cpp:338] inception_5a/pool_proj -> inception_5a/pool_proj
I0506 01:01:54.479842  7983 net.cpp:113] Setting up inception_5a/pool_proj
I0506 01:01:54.480669  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.480679  7983 layer_factory.hpp:74] Creating layer inception_5a/relu_pool_proj
I0506 01:01:54.480685  7983 net.cpp:84] Creating Layer inception_5a/relu_pool_proj
I0506 01:01:54.480690  7983 net.cpp:380] inception_5a/relu_pool_proj <- inception_5a/pool_proj
I0506 01:01:54.480696  7983 net.cpp:327] inception_5a/relu_pool_proj -> inception_5a/pool_proj (in-place)
I0506 01:01:54.480703  7983 net.cpp:113] Setting up inception_5a/relu_pool_proj
I0506 01:01:54.480708  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.480712  7983 layer_factory.hpp:74] Creating layer inception_5a/output
I0506 01:01:54.480718  7983 net.cpp:84] Creating Layer inception_5a/output
I0506 01:01:54.480722  7983 net.cpp:380] inception_5a/output <- inception_5a/1x1
I0506 01:01:54.480727  7983 net.cpp:380] inception_5a/output <- inception_5a/3x3
I0506 01:01:54.480732  7983 net.cpp:380] inception_5a/output <- inception_5a/5x5
I0506 01:01:54.480737  7983 net.cpp:380] inception_5a/output <- inception_5a/pool_proj
I0506 01:01:54.480742  7983 net.cpp:338] inception_5a/output -> inception_5a/output
I0506 01:01:54.480749  7983 net.cpp:113] Setting up inception_5a/output
I0506 01:01:54.480756  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.480761  7983 layer_factory.hpp:74] Creating layer inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.480767  7983 net.cpp:84] Creating Layer inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.480770  7983 net.cpp:380] inception_5a/output_inception_5a/output_0_split <- inception_5a/output
I0506 01:01:54.480778  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_0
I0506 01:01:54.480787  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_1
I0506 01:01:54.480793  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_2
I0506 01:01:54.480800  7983 net.cpp:338] inception_5a/output_inception_5a/output_0_split -> inception_5a/output_inception_5a/output_0_split_3
I0506 01:01:54.480806  7983 net.cpp:113] Setting up inception_5a/output_inception_5a/output_0_split
I0506 01:01:54.480815  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.480820  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.480825  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.480829  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.480834  7983 layer_factory.hpp:74] Creating layer inception_5b/1x1
I0506 01:01:54.480840  7983 net.cpp:84] Creating Layer inception_5b/1x1
I0506 01:01:54.480845  7983 net.cpp:380] inception_5b/1x1 <- inception_5a/output_inception_5a/output_0_split_0
I0506 01:01:54.480854  7983 net.cpp:338] inception_5b/1x1 -> inception_5b/1x1
I0506 01:01:54.480860  7983 net.cpp:113] Setting up inception_5b/1x1
I0506 01:01:54.483283  7983 net.cpp:120] Top shape: 16 384 7 7 (301056)
I0506 01:01:54.483292  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_1x1
I0506 01:01:54.483299  7983 net.cpp:84] Creating Layer inception_5b/relu_1x1
I0506 01:01:54.483304  7983 net.cpp:380] inception_5b/relu_1x1 <- inception_5b/1x1
I0506 01:01:54.483310  7983 net.cpp:327] inception_5b/relu_1x1 -> inception_5b/1x1 (in-place)
I0506 01:01:54.483316  7983 net.cpp:113] Setting up inception_5b/relu_1x1
I0506 01:01:54.483322  7983 net.cpp:120] Top shape: 16 384 7 7 (301056)
I0506 01:01:54.483326  7983 layer_factory.hpp:74] Creating layer inception_5b/3x3_reduce
I0506 01:01:54.483332  7983 net.cpp:84] Creating Layer inception_5b/3x3_reduce
I0506 01:01:54.483337  7983 net.cpp:380] inception_5b/3x3_reduce <- inception_5a/output_inception_5a/output_0_split_1
I0506 01:01:54.483345  7983 net.cpp:338] inception_5b/3x3_reduce -> inception_5b/3x3_reduce
I0506 01:01:54.483352  7983 net.cpp:113] Setting up inception_5b/3x3_reduce
I0506 01:01:54.484570  7983 net.cpp:120] Top shape: 16 192 7 7 (150528)
I0506 01:01:54.484580  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_3x3_reduce
I0506 01:01:54.484587  7983 net.cpp:84] Creating Layer inception_5b/relu_3x3_reduce
I0506 01:01:54.484592  7983 net.cpp:380] inception_5b/relu_3x3_reduce <- inception_5b/3x3_reduce
I0506 01:01:54.484597  7983 net.cpp:327] inception_5b/relu_3x3_reduce -> inception_5b/3x3_reduce (in-place)
I0506 01:01:54.484603  7983 net.cpp:113] Setting up inception_5b/relu_3x3_reduce
I0506 01:01:54.484616  7983 net.cpp:120] Top shape: 16 192 7 7 (150528)
I0506 01:01:54.484621  7983 layer_factory.hpp:74] Creating layer inception_5b/3x3
I0506 01:01:54.484629  7983 net.cpp:84] Creating Layer inception_5b/3x3
I0506 01:01:54.484634  7983 net.cpp:380] inception_5b/3x3 <- inception_5b/3x3_reduce
I0506 01:01:54.484642  7983 net.cpp:338] inception_5b/3x3 -> inception_5b/3x3
I0506 01:01:54.484647  7983 net.cpp:113] Setting up inception_5b/3x3
I0506 01:01:54.489919  7983 net.cpp:120] Top shape: 16 384 7 7 (301056)
I0506 01:01:54.489946  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_3x3
I0506 01:01:54.489958  7983 net.cpp:84] Creating Layer inception_5b/relu_3x3
I0506 01:01:54.489964  7983 net.cpp:380] inception_5b/relu_3x3 <- inception_5b/3x3
I0506 01:01:54.489971  7983 net.cpp:327] inception_5b/relu_3x3 -> inception_5b/3x3 (in-place)
I0506 01:01:54.489980  7983 net.cpp:113] Setting up inception_5b/relu_3x3
I0506 01:01:54.489986  7983 net.cpp:120] Top shape: 16 384 7 7 (301056)
I0506 01:01:54.489990  7983 layer_factory.hpp:74] Creating layer inception_5b/5x5_reduce
I0506 01:01:54.489998  7983 net.cpp:84] Creating Layer inception_5b/5x5_reduce
I0506 01:01:54.490005  7983 net.cpp:380] inception_5b/5x5_reduce <- inception_5a/output_inception_5a/output_0_split_2
I0506 01:01:54.490013  7983 net.cpp:338] inception_5b/5x5_reduce -> inception_5b/5x5_reduce
I0506 01:01:54.490021  7983 net.cpp:113] Setting up inception_5b/5x5_reduce
I0506 01:01:54.490345  7983 net.cpp:120] Top shape: 16 48 7 7 (37632)
I0506 01:01:54.490355  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_5x5_reduce
I0506 01:01:54.490360  7983 net.cpp:84] Creating Layer inception_5b/relu_5x5_reduce
I0506 01:01:54.490365  7983 net.cpp:380] inception_5b/relu_5x5_reduce <- inception_5b/5x5_reduce
I0506 01:01:54.490371  7983 net.cpp:327] inception_5b/relu_5x5_reduce -> inception_5b/5x5_reduce (in-place)
I0506 01:01:54.490377  7983 net.cpp:113] Setting up inception_5b/relu_5x5_reduce
I0506 01:01:54.490382  7983 net.cpp:120] Top shape: 16 48 7 7 (37632)
I0506 01:01:54.490386  7983 layer_factory.hpp:74] Creating layer inception_5b/5x5
I0506 01:01:54.490396  7983 net.cpp:84] Creating Layer inception_5b/5x5
I0506 01:01:54.490399  7983 net.cpp:380] inception_5b/5x5 <- inception_5b/5x5_reduce
I0506 01:01:54.490407  7983 net.cpp:338] inception_5b/5x5 -> inception_5b/5x5
I0506 01:01:54.490414  7983 net.cpp:113] Setting up inception_5b/5x5
I0506 01:01:54.491587  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.491597  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_5x5
I0506 01:01:54.491603  7983 net.cpp:84] Creating Layer inception_5b/relu_5x5
I0506 01:01:54.491607  7983 net.cpp:380] inception_5b/relu_5x5 <- inception_5b/5x5
I0506 01:01:54.491614  7983 net.cpp:327] inception_5b/relu_5x5 -> inception_5b/5x5 (in-place)
I0506 01:01:54.491621  7983 net.cpp:113] Setting up inception_5b/relu_5x5
I0506 01:01:54.491626  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.491631  7983 layer_factory.hpp:74] Creating layer inception_5b/pool
I0506 01:01:54.491637  7983 net.cpp:84] Creating Layer inception_5b/pool
I0506 01:01:54.491641  7983 net.cpp:380] inception_5b/pool <- inception_5a/output_inception_5a/output_0_split_3
I0506 01:01:54.491649  7983 net.cpp:338] inception_5b/pool -> inception_5b/pool
I0506 01:01:54.491657  7983 net.cpp:113] Setting up inception_5b/pool
I0506 01:01:54.491665  7983 net.cpp:120] Top shape: 16 832 7 7 (652288)
I0506 01:01:54.491669  7983 layer_factory.hpp:74] Creating layer inception_5b/pool_proj
I0506 01:01:54.491677  7983 net.cpp:84] Creating Layer inception_5b/pool_proj
I0506 01:01:54.491682  7983 net.cpp:380] inception_5b/pool_proj <- inception_5b/pool
I0506 01:01:54.491689  7983 net.cpp:338] inception_5b/pool_proj -> inception_5b/pool_proj
I0506 01:01:54.491696  7983 net.cpp:113] Setting up inception_5b/pool_proj
I0506 01:01:54.492524  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.492534  7983 layer_factory.hpp:74] Creating layer inception_5b/relu_pool_proj
I0506 01:01:54.492540  7983 net.cpp:84] Creating Layer inception_5b/relu_pool_proj
I0506 01:01:54.492544  7983 net.cpp:380] inception_5b/relu_pool_proj <- inception_5b/pool_proj
I0506 01:01:54.492550  7983 net.cpp:327] inception_5b/relu_pool_proj -> inception_5b/pool_proj (in-place)
I0506 01:01:54.492558  7983 net.cpp:113] Setting up inception_5b/relu_pool_proj
I0506 01:01:54.492563  7983 net.cpp:120] Top shape: 16 128 7 7 (100352)
I0506 01:01:54.492566  7983 layer_factory.hpp:74] Creating layer inception_5b/output
I0506 01:01:54.492573  7983 net.cpp:84] Creating Layer inception_5b/output
I0506 01:01:54.492578  7983 net.cpp:380] inception_5b/output <- inception_5b/1x1
I0506 01:01:54.492583  7983 net.cpp:380] inception_5b/output <- inception_5b/3x3
I0506 01:01:54.492588  7983 net.cpp:380] inception_5b/output <- inception_5b/5x5
I0506 01:01:54.492593  7983 net.cpp:380] inception_5b/output <- inception_5b/pool_proj
I0506 01:01:54.492599  7983 net.cpp:338] inception_5b/output -> inception_5b/output
I0506 01:01:54.492625  7983 net.cpp:113] Setting up inception_5b/output
I0506 01:01:54.492635  7983 net.cpp:120] Top shape: 16 1024 7 7 (802816)
I0506 01:01:54.492640  7983 layer_factory.hpp:74] Creating layer pool5/7x7_s1
I0506 01:01:54.492646  7983 net.cpp:84] Creating Layer pool5/7x7_s1
I0506 01:01:54.492650  7983 net.cpp:380] pool5/7x7_s1 <- inception_5b/output
I0506 01:01:54.492657  7983 net.cpp:338] pool5/7x7_s1 -> pool5/7x7_s1
I0506 01:01:54.492666  7983 net.cpp:113] Setting up pool5/7x7_s1
I0506 01:01:54.492673  7983 net.cpp:120] Top shape: 16 1024 1 1 (16384)
I0506 01:01:54.492677  7983 layer_factory.hpp:74] Creating layer pool5/drop_7x7_s1
I0506 01:01:54.492683  7983 net.cpp:84] Creating Layer pool5/drop_7x7_s1
I0506 01:01:54.492688  7983 net.cpp:380] pool5/drop_7x7_s1 <- pool5/7x7_s1
I0506 01:01:54.492693  7983 net.cpp:327] pool5/drop_7x7_s1 -> pool5/7x7_s1 (in-place)
I0506 01:01:54.492699  7983 net.cpp:113] Setting up pool5/drop_7x7_s1
I0506 01:01:54.492707  7983 net.cpp:120] Top shape: 16 1024 1 1 (16384)
I0506 01:01:54.492712  7983 layer_factory.hpp:74] Creating layer loss3/classifier
I0506 01:01:54.492719  7983 net.cpp:84] Creating Layer loss3/classifier
I0506 01:01:54.492723  7983 net.cpp:380] loss3/classifier <- pool5/7x7_s1
I0506 01:01:54.492733  7983 net.cpp:338] loss3/classifier -> loss3/classifier
I0506 01:01:54.492740  7983 net.cpp:113] Setting up loss3/classifier
I0506 01:01:54.492800  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.492808  7983 layer_factory.hpp:74] Creating layer loss3/classifier_loss3/classifier_0_split
I0506 01:01:54.492815  7983 net.cpp:84] Creating Layer loss3/classifier_loss3/classifier_0_split
I0506 01:01:54.492820  7983 net.cpp:380] loss3/classifier_loss3/classifier_0_split <- loss3/classifier
I0506 01:01:54.492825  7983 net.cpp:338] loss3/classifier_loss3/classifier_0_split -> loss3/classifier_loss3/classifier_0_split_0
I0506 01:01:54.492832  7983 net.cpp:338] loss3/classifier_loss3/classifier_0_split -> loss3/classifier_loss3/classifier_0_split_1
I0506 01:01:54.492840  7983 net.cpp:338] loss3/classifier_loss3/classifier_0_split -> loss3/classifier_loss3/classifier_0_split_2
I0506 01:01:54.492846  7983 net.cpp:113] Setting up loss3/classifier_loss3/classifier_0_split
I0506 01:01:54.492853  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.492858  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.492863  7983 net.cpp:120] Top shape: 16 6 (96)
I0506 01:01:54.492867  7983 layer_factory.hpp:74] Creating layer loss3/loss3
I0506 01:01:54.492876  7983 net.cpp:84] Creating Layer loss3/loss3
I0506 01:01:54.492880  7983 net.cpp:380] loss3/loss3 <- loss3/classifier_loss3/classifier_0_split_0
I0506 01:01:54.492885  7983 net.cpp:380] loss3/loss3 <- label_data_1_split_6
I0506 01:01:54.492892  7983 net.cpp:338] loss3/loss3 -> loss3/loss3
I0506 01:01:54.492899  7983 net.cpp:113] Setting up loss3/loss3
I0506 01:01:54.492905  7983 layer_factory.hpp:74] Creating layer loss3/loss3
I0506 01:01:54.492919  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.492923  7983 net.cpp:122]     with loss weight 1
I0506 01:01:54.492938  7983 layer_factory.hpp:74] Creating layer loss3/top-1
I0506 01:01:54.492947  7983 net.cpp:84] Creating Layer loss3/top-1
I0506 01:01:54.492951  7983 net.cpp:380] loss3/top-1 <- loss3/classifier_loss3/classifier_0_split_1
I0506 01:01:54.492957  7983 net.cpp:380] loss3/top-1 <- label_data_1_split_7
I0506 01:01:54.492964  7983 net.cpp:338] loss3/top-1 -> loss3/top-1
I0506 01:01:54.492970  7983 net.cpp:113] Setting up loss3/top-1
I0506 01:01:54.492977  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.492981  7983 layer_factory.hpp:74] Creating layer loss3/top-2
I0506 01:01:54.492990  7983 net.cpp:84] Creating Layer loss3/top-2
I0506 01:01:54.492995  7983 net.cpp:380] loss3/top-2 <- loss3/classifier_loss3/classifier_0_split_2
I0506 01:01:54.493000  7983 net.cpp:380] loss3/top-2 <- label_data_1_split_8
I0506 01:01:54.493005  7983 net.cpp:338] loss3/top-2 -> loss3/top-2
I0506 01:01:54.493012  7983 net.cpp:113] Setting up loss3/top-2
I0506 01:01:54.493018  7983 net.cpp:120] Top shape: (1)
I0506 01:01:54.493022  7983 net.cpp:169] loss3/top-2 does not need backward computation.
I0506 01:01:54.493026  7983 net.cpp:169] loss3/top-1 does not need backward computation.
I0506 01:01:54.493031  7983 net.cpp:167] loss3/loss3 needs backward computation.
I0506 01:01:54.493034  7983 net.cpp:167] loss3/classifier_loss3/classifier_0_split needs backward computation.
I0506 01:01:54.493039  7983 net.cpp:167] loss3/classifier needs backward computation.
I0506 01:01:54.493043  7983 net.cpp:167] pool5/drop_7x7_s1 needs backward computation.
I0506 01:01:54.493047  7983 net.cpp:167] pool5/7x7_s1 needs backward computation.
I0506 01:01:54.493051  7983 net.cpp:167] inception_5b/output needs backward computation.
I0506 01:01:54.493057  7983 net.cpp:167] inception_5b/relu_pool_proj needs backward computation.
I0506 01:01:54.493059  7983 net.cpp:167] inception_5b/pool_proj needs backward computation.
I0506 01:01:54.493064  7983 net.cpp:167] inception_5b/pool needs backward computation.
I0506 01:01:54.493068  7983 net.cpp:167] inception_5b/relu_5x5 needs backward computation.
I0506 01:01:54.493072  7983 net.cpp:167] inception_5b/5x5 needs backward computation.
I0506 01:01:54.493077  7983 net.cpp:167] inception_5b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.493079  7983 net.cpp:167] inception_5b/5x5_reduce needs backward computation.
I0506 01:01:54.493083  7983 net.cpp:167] inception_5b/relu_3x3 needs backward computation.
I0506 01:01:54.493088  7983 net.cpp:167] inception_5b/3x3 needs backward computation.
I0506 01:01:54.493091  7983 net.cpp:167] inception_5b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.493095  7983 net.cpp:167] inception_5b/3x3_reduce needs backward computation.
I0506 01:01:54.493099  7983 net.cpp:167] inception_5b/relu_1x1 needs backward computation.
I0506 01:01:54.493103  7983 net.cpp:167] inception_5b/1x1 needs backward computation.
I0506 01:01:54.493108  7983 net.cpp:167] inception_5a/output_inception_5a/output_0_split needs backward computation.
I0506 01:01:54.493111  7983 net.cpp:167] inception_5a/output needs backward computation.
I0506 01:01:54.493118  7983 net.cpp:167] inception_5a/relu_pool_proj needs backward computation.
I0506 01:01:54.493121  7983 net.cpp:167] inception_5a/pool_proj needs backward computation.
I0506 01:01:54.493125  7983 net.cpp:167] inception_5a/pool needs backward computation.
I0506 01:01:54.493129  7983 net.cpp:167] inception_5a/relu_5x5 needs backward computation.
I0506 01:01:54.493134  7983 net.cpp:167] inception_5a/5x5 needs backward computation.
I0506 01:01:54.493139  7983 net.cpp:167] inception_5a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.493142  7983 net.cpp:167] inception_5a/5x5_reduce needs backward computation.
I0506 01:01:54.493146  7983 net.cpp:167] inception_5a/relu_3x3 needs backward computation.
I0506 01:01:54.493151  7983 net.cpp:167] inception_5a/3x3 needs backward computation.
I0506 01:01:54.493155  7983 net.cpp:167] inception_5a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.493160  7983 net.cpp:167] inception_5a/3x3_reduce needs backward computation.
I0506 01:01:54.493163  7983 net.cpp:167] inception_5a/relu_1x1 needs backward computation.
I0506 01:01:54.493167  7983 net.cpp:167] inception_5a/1x1 needs backward computation.
I0506 01:01:54.510104  7983 net.cpp:167] pool4/3x3_s2_pool4/3x3_s2_0_split needs backward computation.
I0506 01:01:54.510121  7983 net.cpp:167] pool4/3x3_s2 needs backward computation.
I0506 01:01:54.510126  7983 net.cpp:167] inception_4e/output needs backward computation.
I0506 01:01:54.510133  7983 net.cpp:167] inception_4e/relu_pool_proj needs backward computation.
I0506 01:01:54.510136  7983 net.cpp:167] inception_4e/pool_proj needs backward computation.
I0506 01:01:54.510141  7983 net.cpp:167] inception_4e/pool needs backward computation.
I0506 01:01:54.510145  7983 net.cpp:167] inception_4e/relu_5x5 needs backward computation.
I0506 01:01:54.510150  7983 net.cpp:167] inception_4e/5x5 needs backward computation.
I0506 01:01:54.510159  7983 net.cpp:167] inception_4e/relu_5x5_reduce needs backward computation.
I0506 01:01:54.510164  7983 net.cpp:167] inception_4e/5x5_reduce needs backward computation.
I0506 01:01:54.510169  7983 net.cpp:167] inception_4e/relu_3x3 needs backward computation.
I0506 01:01:54.510172  7983 net.cpp:167] inception_4e/3x3 needs backward computation.
I0506 01:01:54.510176  7983 net.cpp:167] inception_4e/relu_3x3_reduce needs backward computation.
I0506 01:01:54.510180  7983 net.cpp:167] inception_4e/3x3_reduce needs backward computation.
I0506 01:01:54.510185  7983 net.cpp:167] inception_4e/relu_1x1 needs backward computation.
I0506 01:01:54.510190  7983 net.cpp:167] inception_4e/1x1 needs backward computation.
I0506 01:01:54.510195  7983 net.cpp:169] loss2/top-2 does not need backward computation.
I0506 01:01:54.510198  7983 net.cpp:169] loss2/top-1 does not need backward computation.
I0506 01:01:54.510202  7983 net.cpp:167] loss2/loss needs backward computation.
I0506 01:01:54.510207  7983 net.cpp:167] loss2/classifier_loss2/classifier_0_split needs backward computation.
I0506 01:01:54.510212  7983 net.cpp:167] loss2/classifier needs backward computation.
I0506 01:01:54.510217  7983 net.cpp:167] loss2/drop_fc needs backward computation.
I0506 01:01:54.510221  7983 net.cpp:167] loss2/relu_fc needs backward computation.
I0506 01:01:54.510226  7983 net.cpp:167] loss2/fc needs backward computation.
I0506 01:01:54.510229  7983 net.cpp:167] loss2/relu_conv needs backward computation.
I0506 01:01:54.510234  7983 net.cpp:167] loss2/conv needs backward computation.
I0506 01:01:54.510238  7983 net.cpp:167] loss2/ave_pool needs backward computation.
I0506 01:01:54.510243  7983 net.cpp:167] inception_4d/output_inception_4d/output_0_split needs backward computation.
I0506 01:01:54.510247  7983 net.cpp:167] inception_4d/output needs backward computation.
I0506 01:01:54.510253  7983 net.cpp:167] inception_4d/relu_pool_proj needs backward computation.
I0506 01:01:54.510257  7983 net.cpp:167] inception_4d/pool_proj needs backward computation.
I0506 01:01:54.510262  7983 net.cpp:167] inception_4d/pool needs backward computation.
I0506 01:01:54.510267  7983 net.cpp:167] inception_4d/relu_5x5 needs backward computation.
I0506 01:01:54.510270  7983 net.cpp:167] inception_4d/5x5 needs backward computation.
I0506 01:01:54.510275  7983 net.cpp:167] inception_4d/relu_5x5_reduce needs backward computation.
I0506 01:01:54.510279  7983 net.cpp:167] inception_4d/5x5_reduce needs backward computation.
I0506 01:01:54.510283  7983 net.cpp:167] inception_4d/relu_3x3 needs backward computation.
I0506 01:01:54.510288  7983 net.cpp:167] inception_4d/3x3 needs backward computation.
I0506 01:01:54.510293  7983 net.cpp:167] inception_4d/relu_3x3_reduce needs backward computation.
I0506 01:01:54.510296  7983 net.cpp:167] inception_4d/3x3_reduce needs backward computation.
I0506 01:01:54.510301  7983 net.cpp:167] inception_4d/relu_1x1 needs backward computation.
I0506 01:01:54.510305  7983 net.cpp:167] inception_4d/1x1 needs backward computation.
I0506 01:01:54.510309  7983 net.cpp:167] inception_4c/output_inception_4c/output_0_split needs backward computation.
I0506 01:01:54.510314  7983 net.cpp:167] inception_4c/output needs backward computation.
I0506 01:01:54.510320  7983 net.cpp:167] inception_4c/relu_pool_proj needs backward computation.
I0506 01:01:54.510324  7983 net.cpp:167] inception_4c/pool_proj needs backward computation.
I0506 01:01:54.510329  7983 net.cpp:167] inception_4c/pool needs backward computation.
I0506 01:01:54.510334  7983 net.cpp:167] inception_4c/relu_5x5 needs backward computation.
I0506 01:01:54.510339  7983 net.cpp:167] inception_4c/5x5 needs backward computation.
I0506 01:01:54.510342  7983 net.cpp:167] inception_4c/relu_5x5_reduce needs backward computation.
I0506 01:01:54.510346  7983 net.cpp:167] inception_4c/5x5_reduce needs backward computation.
I0506 01:01:54.510351  7983 net.cpp:167] inception_4c/relu_3x3 needs backward computation.
I0506 01:01:54.510355  7983 net.cpp:167] inception_4c/3x3 needs backward computation.
I0506 01:01:54.510360  7983 net.cpp:167] inception_4c/relu_3x3_reduce needs backward computation.
I0506 01:01:54.510365  7983 net.cpp:167] inception_4c/3x3_reduce needs backward computation.
I0506 01:01:54.510370  7983 net.cpp:167] inception_4c/relu_1x1 needs backward computation.
I0506 01:01:54.510373  7983 net.cpp:167] inception_4c/1x1 needs backward computation.
I0506 01:01:54.510378  7983 net.cpp:167] inception_4b/output_inception_4b/output_0_split needs backward computation.
I0506 01:01:54.510382  7983 net.cpp:167] inception_4b/output needs backward computation.
I0506 01:01:54.510388  7983 net.cpp:167] inception_4b/relu_pool_proj needs backward computation.
I0506 01:01:54.510392  7983 net.cpp:167] inception_4b/pool_proj needs backward computation.
I0506 01:01:54.510397  7983 net.cpp:167] inception_4b/pool needs backward computation.
I0506 01:01:54.510401  7983 net.cpp:167] inception_4b/relu_5x5 needs backward computation.
I0506 01:01:54.510406  7983 net.cpp:167] inception_4b/5x5 needs backward computation.
I0506 01:01:54.510411  7983 net.cpp:167] inception_4b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.510414  7983 net.cpp:167] inception_4b/5x5_reduce needs backward computation.
I0506 01:01:54.510418  7983 net.cpp:167] inception_4b/relu_3x3 needs backward computation.
I0506 01:01:54.510422  7983 net.cpp:167] inception_4b/3x3 needs backward computation.
I0506 01:01:54.510427  7983 net.cpp:167] inception_4b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.510432  7983 net.cpp:167] inception_4b/3x3_reduce needs backward computation.
I0506 01:01:54.510435  7983 net.cpp:167] inception_4b/relu_1x1 needs backward computation.
I0506 01:01:54.510439  7983 net.cpp:167] inception_4b/1x1 needs backward computation.
I0506 01:01:54.510444  7983 net.cpp:169] loss1/top-2 does not need backward computation.
I0506 01:01:54.510448  7983 net.cpp:169] loss1/top-1 does not need backward computation.
I0506 01:01:54.510452  7983 net.cpp:167] loss1/loss needs backward computation.
I0506 01:01:54.510457  7983 net.cpp:167] loss1/classifier_loss1/classifier_0_split needs backward computation.
I0506 01:01:54.510462  7983 net.cpp:167] loss1/classifier needs backward computation.
I0506 01:01:54.510467  7983 net.cpp:167] loss1/drop_fc needs backward computation.
I0506 01:01:54.510470  7983 net.cpp:167] loss1/relu_fc needs backward computation.
I0506 01:01:54.510474  7983 net.cpp:167] loss1/fc needs backward computation.
I0506 01:01:54.510479  7983 net.cpp:167] loss1/relu_conv needs backward computation.
I0506 01:01:54.510483  7983 net.cpp:167] loss1/conv needs backward computation.
I0506 01:01:54.510488  7983 net.cpp:167] loss1/ave_pool needs backward computation.
I0506 01:01:54.510493  7983 net.cpp:167] inception_4a/output_inception_4a/output_0_split needs backward computation.
I0506 01:01:54.510496  7983 net.cpp:167] inception_4a/output needs backward computation.
I0506 01:01:54.510503  7983 net.cpp:167] inception_4a/relu_pool_proj needs backward computation.
I0506 01:01:54.510506  7983 net.cpp:167] inception_4a/pool_proj needs backward computation.
I0506 01:01:54.510511  7983 net.cpp:167] inception_4a/pool needs backward computation.
I0506 01:01:54.514202  7983 net.cpp:167] inception_4a/relu_5x5 needs backward computation.
I0506 01:01:54.514210  7983 net.cpp:167] inception_4a/5x5 needs backward computation.
I0506 01:01:54.514216  7983 net.cpp:167] inception_4a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.514220  7983 net.cpp:167] inception_4a/5x5_reduce needs backward computation.
I0506 01:01:54.514225  7983 net.cpp:167] inception_4a/relu_3x3 needs backward computation.
I0506 01:01:54.514230  7983 net.cpp:167] inception_4a/3x3 needs backward computation.
I0506 01:01:54.514235  7983 net.cpp:167] inception_4a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.514240  7983 net.cpp:167] inception_4a/3x3_reduce needs backward computation.
I0506 01:01:54.514245  7983 net.cpp:167] inception_4a/relu_1x1 needs backward computation.
I0506 01:01:54.514248  7983 net.cpp:167] inception_4a/1x1 needs backward computation.
I0506 01:01:54.514253  7983 net.cpp:167] pool3/3x3_s2_pool3/3x3_s2_0_split needs backward computation.
I0506 01:01:54.514258  7983 net.cpp:167] pool3/3x3_s2 needs backward computation.
I0506 01:01:54.514262  7983 net.cpp:167] inception_3b/output needs backward computation.
I0506 01:01:54.514268  7983 net.cpp:167] inception_3b/relu_pool_proj needs backward computation.
I0506 01:01:54.514273  7983 net.cpp:167] inception_3b/pool_proj needs backward computation.
I0506 01:01:54.514277  7983 net.cpp:167] inception_3b/pool needs backward computation.
I0506 01:01:54.514282  7983 net.cpp:167] inception_3b/relu_5x5 needs backward computation.
I0506 01:01:54.514286  7983 net.cpp:167] inception_3b/5x5 needs backward computation.
I0506 01:01:54.514292  7983 net.cpp:167] inception_3b/relu_5x5_reduce needs backward computation.
I0506 01:01:54.514297  7983 net.cpp:167] inception_3b/5x5_reduce needs backward computation.
I0506 01:01:54.514300  7983 net.cpp:167] inception_3b/relu_3x3 needs backward computation.
I0506 01:01:54.514304  7983 net.cpp:167] inception_3b/3x3 needs backward computation.
I0506 01:01:54.514309  7983 net.cpp:167] inception_3b/relu_3x3_reduce needs backward computation.
I0506 01:01:54.514313  7983 net.cpp:167] inception_3b/3x3_reduce needs backward computation.
I0506 01:01:54.514318  7983 net.cpp:167] inception_3b/relu_1x1 needs backward computation.
I0506 01:01:54.514322  7983 net.cpp:167] inception_3b/1x1 needs backward computation.
I0506 01:01:54.514327  7983 net.cpp:167] inception_3a/output_inception_3a/output_0_split needs backward computation.
I0506 01:01:54.514331  7983 net.cpp:167] inception_3a/output needs backward computation.
I0506 01:01:54.514338  7983 net.cpp:167] inception_3a/relu_pool_proj needs backward computation.
I0506 01:01:54.514341  7983 net.cpp:167] inception_3a/pool_proj needs backward computation.
I0506 01:01:54.514348  7983 net.cpp:167] inception_3a/pool needs backward computation.
I0506 01:01:54.514354  7983 net.cpp:167] inception_3a/relu_5x5 needs backward computation.
I0506 01:01:54.514359  7983 net.cpp:167] inception_3a/5x5 needs backward computation.
I0506 01:01:54.514364  7983 net.cpp:167] inception_3a/relu_5x5_reduce needs backward computation.
I0506 01:01:54.514369  7983 net.cpp:167] inception_3a/5x5_reduce needs backward computation.
I0506 01:01:54.514372  7983 net.cpp:167] inception_3a/relu_3x3 needs backward computation.
I0506 01:01:54.514376  7983 net.cpp:167] inception_3a/3x3 needs backward computation.
I0506 01:01:54.514381  7983 net.cpp:167] inception_3a/relu_3x3_reduce needs backward computation.
I0506 01:01:54.514385  7983 net.cpp:167] inception_3a/3x3_reduce needs backward computation.
I0506 01:01:54.514389  7983 net.cpp:167] inception_3a/relu_1x1 needs backward computation.
I0506 01:01:54.514394  7983 net.cpp:167] inception_3a/1x1 needs backward computation.
I0506 01:01:54.514399  7983 net.cpp:167] pool2/3x3_s2_pool2/3x3_s2_0_split needs backward computation.
I0506 01:01:54.514402  7983 net.cpp:167] pool2/3x3_s2 needs backward computation.
I0506 01:01:54.514407  7983 net.cpp:167] conv2/norm2 needs backward computation.
I0506 01:01:54.514412  7983 net.cpp:167] conv2/relu_3x3 needs backward computation.
I0506 01:01:54.514416  7983 net.cpp:167] conv2/3x3 needs backward computation.
I0506 01:01:54.514421  7983 net.cpp:167] conv2/relu_3x3_reduce needs backward computation.
I0506 01:01:54.514425  7983 net.cpp:167] conv2/3x3_reduce needs backward computation.
I0506 01:01:54.514430  7983 net.cpp:167] pool1/norm1 needs backward computation.
I0506 01:01:54.514435  7983 net.cpp:167] pool1/3x3_s2 needs backward computation.
I0506 01:01:54.514439  7983 net.cpp:167] conv1/relu_7x7 needs backward computation.
I0506 01:01:54.514443  7983 net.cpp:167] conv1/7x7_s2 needs backward computation.
I0506 01:01:54.514448  7983 net.cpp:169] label_data_1_split does not need backward computation.
I0506 01:01:54.514452  7983 net.cpp:169] data does not need backward computation.
I0506 01:01:54.514456  7983 net.cpp:205] This network produces output loss1/loss1
I0506 01:01:54.514463  7983 net.cpp:205] This network produces output loss1/top-1
I0506 01:01:54.514469  7983 net.cpp:205] This network produces output loss1/top-2
I0506 01:01:54.514474  7983 net.cpp:205] This network produces output loss2/loss1
I0506 01:01:54.514478  7983 net.cpp:205] This network produces output loss2/top-1
I0506 01:01:54.514483  7983 net.cpp:205] This network produces output loss2/top-2
I0506 01:01:54.514487  7983 net.cpp:205] This network produces output loss3/loss3
I0506 01:01:54.514492  7983 net.cpp:205] This network produces output loss3/top-1
I0506 01:01:54.514495  7983 net.cpp:205] This network produces output loss3/top-2
I0506 01:01:54.514626  7983 net.cpp:447] Collecting Learning Rate and Weight Decay.
I0506 01:01:54.514649  7983 net.cpp:217] Network initialization done.
I0506 01:01:54.514654  7983 net.cpp:218] Memory required for data: 897359012
I0506 01:01:54.515386  7983 solver.cpp:42] Solver scaffolding done.
I0506 01:01:54.515784  7983 solver.cpp:222] Solving GoogleNet
I0506 01:01:54.515792  7983 solver.cpp:223] Learning Rate Policy: poly
I0506 01:01:55.586416  7983 solver.cpp:189] Iteration 0, loss = 4.56167
I0506 01:01:55.586467  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 6.06144 (* 0.3 = 1.81843 loss)
I0506 01:01:55.586478  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 2.62156 (* 0.3 = 0.786467 loss)
I0506 01:01:55.586488  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.95677 (* 1 = 1.95677 loss)
I0506 01:01:55.586506  7983 solver.cpp:464] Iteration 0, lr = 0.01
I0506 01:03:56.862834  7983 solver.cpp:189] Iteration 100, loss = 2.05245
I0506 01:03:56.862886  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.23098 (* 0.3 = 0.369293 loss)
I0506 01:03:56.862897  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.10455 (* 0.3 = 0.331364 loss)
I0506 01:03:56.862906  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.10152 (* 1 = 1.10152 loss)
I0506 01:03:56.862917  7983 solver.cpp:464] Iteration 100, lr = 0.00999979
I0506 01:05:57.827980  7983 solver.cpp:189] Iteration 200, loss = 1.83228
I0506 01:05:57.828027  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.46139 (* 0.3 = 0.438416 loss)
I0506 01:05:57.828038  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.24577 (* 0.3 = 0.373732 loss)
I0506 01:05:57.828047  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.25408 (* 1 = 1.25408 loss)
I0506 01:05:57.828058  7983 solver.cpp:464] Iteration 200, lr = 0.00999958
I0506 01:07:58.667878  7983 solver.cpp:189] Iteration 300, loss = 1.63494
I0506 01:07:58.667925  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.12514 (* 0.3 = 0.337542 loss)
I0506 01:07:58.667937  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.861977 (* 0.3 = 0.258593 loss)
I0506 01:07:58.667945  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.840427 (* 1 = 0.840427 loss)
I0506 01:07:58.667955  7983 solver.cpp:464] Iteration 300, lr = 0.00999937
I0506 01:10:00.257865  7983 solver.cpp:189] Iteration 400, loss = 1.57793
I0506 01:10:00.257913  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.773497 (* 0.3 = 0.232049 loss)
I0506 01:10:00.257925  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.879187 (* 0.3 = 0.263756 loss)
I0506 01:10:00.257933  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.828578 (* 1 = 0.828578 loss)
I0506 01:10:00.257943  7983 solver.cpp:464] Iteration 400, lr = 0.00999917
I0506 01:12:01.504022  7983 solver.cpp:189] Iteration 500, loss = 1.54462
I0506 01:12:01.504070  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.23079 (* 0.3 = 0.369236 loss)
I0506 01:12:01.504081  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.1797 (* 0.3 = 0.353909 loss)
I0506 01:12:01.504091  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.30081 (* 1 = 1.30081 loss)
I0506 01:12:01.504101  7983 solver.cpp:464] Iteration 500, lr = 0.00999896
I0506 01:14:03.258074  7983 solver.cpp:189] Iteration 600, loss = 1.57342
I0506 01:14:03.258122  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.968765 (* 0.3 = 0.29063 loss)
I0506 01:14:03.258133  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.966235 (* 0.3 = 0.28987 loss)
I0506 01:14:03.258142  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.886854 (* 1 = 0.886854 loss)
I0506 01:14:03.258153  7983 solver.cpp:464] Iteration 600, lr = 0.00999875
I0506 01:16:05.269508  7983 solver.cpp:189] Iteration 700, loss = 1.41588
I0506 01:16:05.269625  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.630231 (* 0.3 = 0.189069 loss)
I0506 01:16:05.269655  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.662052 (* 0.3 = 0.198616 loss)
I0506 01:16:05.269681  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.614667 (* 1 = 0.614667 loss)
I0506 01:16:05.269706  7983 solver.cpp:464] Iteration 700, lr = 0.00999854
I0506 01:18:07.214493  7983 solver.cpp:189] Iteration 800, loss = 1.46279
I0506 01:18:07.214540  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.896996 (* 0.3 = 0.269099 loss)
I0506 01:18:07.214551  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.753694 (* 0.3 = 0.226108 loss)
I0506 01:18:07.214560  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.808497 (* 1 = 0.808497 loss)
I0506 01:18:07.214572  7983 solver.cpp:464] Iteration 800, lr = 0.00999833
I0506 01:20:08.086626  7983 solver.cpp:189] Iteration 900, loss = 1.46502
I0506 01:20:08.086680  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.770703 (* 0.3 = 0.231211 loss)
I0506 01:20:08.086691  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.78023 (* 0.3 = 0.234069 loss)
I0506 01:20:08.086700  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.725635 (* 1 = 0.725635 loss)
I0506 01:20:08.086710  7983 solver.cpp:464] Iteration 900, lr = 0.00999813
I0506 01:22:07.653806  7983 solver.cpp:266] Iteration 1000, Testing net (#0)
I0506 01:22:30.005203  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.06221 (* 0.3 = 0.318663 loss)
I0506 01:22:30.005231  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.614352
I0506 01:22:30.005239  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.768519
I0506 01:22:30.005247  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.06421 (* 0.3 = 0.319262 loss)
I0506 01:22:30.005254  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.609722
I0506 01:22:30.005259  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.777315
I0506 01:22:30.005269  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.08731 (* 1 = 1.08731 loss)
I0506 01:22:30.005305  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.601852
I0506 01:22:30.005316  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.756944
I0506 01:22:30.982199  7983 solver.cpp:189] Iteration 1000, loss = 1.47663
I0506 01:22:30.982247  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.967938 (* 0.3 = 0.290382 loss)
I0506 01:22:30.982259  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.975548 (* 0.3 = 0.292664 loss)
I0506 01:22:30.982266  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.994018 (* 1 = 0.994018 loss)
I0506 01:22:30.982277  7983 solver.cpp:464] Iteration 1000, lr = 0.00999792
I0506 01:24:32.489408  7983 solver.cpp:189] Iteration 1100, loss = 1.28571
I0506 01:24:32.489455  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.79296 (* 0.3 = 0.237888 loss)
I0506 01:24:32.489466  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.770364 (* 0.3 = 0.231109 loss)
I0506 01:24:32.489475  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.789899 (* 1 = 0.789899 loss)
I0506 01:24:32.489485  7983 solver.cpp:464] Iteration 1100, lr = 0.00999771
I0506 01:26:33.439004  7983 solver.cpp:189] Iteration 1200, loss = 1.46191
I0506 01:26:33.439051  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.812468 (* 0.3 = 0.24374 loss)
I0506 01:26:33.439062  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.866222 (* 0.3 = 0.259867 loss)
I0506 01:26:33.439071  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.913023 (* 1 = 0.913023 loss)
I0506 01:26:33.439082  7983 solver.cpp:464] Iteration 1200, lr = 0.0099975
I0506 01:28:34.145112  7983 solver.cpp:189] Iteration 1300, loss = 1.35917
I0506 01:28:34.145151  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.12472 (* 0.3 = 0.337417 loss)
I0506 01:28:34.145161  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.19907 (* 0.3 = 0.35972 loss)
I0506 01:28:34.145170  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.13566 (* 1 = 1.13566 loss)
I0506 01:28:34.145180  7983 solver.cpp:464] Iteration 1300, lr = 0.00999729
I0506 01:30:34.675143  7983 solver.cpp:189] Iteration 1400, loss = 1.37209
I0506 01:30:34.675182  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.613245 (* 0.3 = 0.183974 loss)
I0506 01:30:34.675192  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.652391 (* 0.3 = 0.195717 loss)
I0506 01:30:34.675200  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.609226 (* 1 = 0.609226 loss)
I0506 01:30:34.675211  7983 solver.cpp:464] Iteration 1400, lr = 0.00999708
I0506 01:32:35.471295  7983 solver.cpp:189] Iteration 1500, loss = 1.24499
I0506 01:32:35.471334  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.707395 (* 0.3 = 0.212218 loss)
I0506 01:32:35.471344  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.876799 (* 0.3 = 0.26304 loss)
I0506 01:32:35.471353  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.827349 (* 1 = 0.827349 loss)
I0506 01:32:35.471362  7983 solver.cpp:464] Iteration 1500, lr = 0.00999687
I0506 01:34:35.902498  7983 solver.cpp:189] Iteration 1600, loss = 1.34026
I0506 01:34:35.902537  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.01114 (* 0.3 = 0.303341 loss)
I0506 01:34:35.902547  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.0341 (* 0.3 = 0.310231 loss)
I0506 01:34:35.902555  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.07819 (* 1 = 1.07819 loss)
I0506 01:34:35.902565  7983 solver.cpp:464] Iteration 1600, lr = 0.00999667
I0506 01:36:36.633855  7983 solver.cpp:189] Iteration 1700, loss = 1.26059
I0506 01:36:36.633894  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.735212 (* 0.3 = 0.220564 loss)
I0506 01:36:36.633904  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.765116 (* 0.3 = 0.229535 loss)
I0506 01:36:36.633913  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.853563 (* 1 = 0.853563 loss)
I0506 01:36:36.633923  7983 solver.cpp:464] Iteration 1700, lr = 0.00999646
I0506 01:38:37.349513  7983 solver.cpp:189] Iteration 1800, loss = 1.23841
I0506 01:38:37.349548  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.751114 (* 0.3 = 0.225334 loss)
I0506 01:38:37.349558  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.726181 (* 0.3 = 0.217854 loss)
I0506 01:38:37.349567  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.703934 (* 1 = 0.703934 loss)
I0506 01:38:37.349577  7983 solver.cpp:464] Iteration 1800, lr = 0.00999625
I0506 01:40:37.949167  7983 solver.cpp:189] Iteration 1900, loss = 1.28024
I0506 01:40:37.949205  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.479867 (* 0.3 = 0.14396 loss)
I0506 01:40:37.949215  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.454458 (* 0.3 = 0.136337 loss)
I0506 01:40:37.949223  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.517627 (* 1 = 0.517627 loss)
I0506 01:40:37.949234  7983 solver.cpp:464] Iteration 1900, lr = 0.00999604
I0506 01:42:37.609086  7983 solver.cpp:266] Iteration 2000, Testing net (#0)
I0506 01:42:59.721818  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.03981 (* 0.3 = 0.311942 loss)
I0506 01:42:59.721842  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.606481
I0506 01:42:59.721848  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.814815
I0506 01:42:59.721856  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.00405 (* 0.3 = 0.301215 loss)
I0506 01:42:59.721863  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.609722
I0506 01:42:59.721869  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.843056
I0506 01:42:59.721878  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.01127 (* 1 = 1.01127 loss)
I0506 01:42:59.721884  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.609722
I0506 01:42:59.721889  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.826389
I0506 01:43:00.696810  7983 solver.cpp:189] Iteration 2000, loss = 1.28918
I0506 01:43:00.696846  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.775939 (* 0.3 = 0.232782 loss)
I0506 01:43:00.696856  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.850299 (* 0.3 = 0.25509 loss)
I0506 01:43:00.696864  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.798565 (* 1 = 0.798565 loss)
I0506 01:43:00.696874  7983 solver.cpp:464] Iteration 2000, lr = 0.00999583
I0506 01:45:01.410444  7983 solver.cpp:189] Iteration 2100, loss = 1.28416
I0506 01:45:01.410480  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.908782 (* 0.3 = 0.272635 loss)
I0506 01:45:01.410490  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.05727 (* 0.3 = 0.317181 loss)
I0506 01:45:01.410500  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.09958 (* 1 = 1.09958 loss)
I0506 01:45:01.410509  7983 solver.cpp:464] Iteration 2100, lr = 0.00999562
I0506 01:47:02.165315  7983 solver.cpp:189] Iteration 2200, loss = 1.24907
I0506 01:47:02.165354  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.658996 (* 0.3 = 0.197699 loss)
I0506 01:47:02.165364  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.618919 (* 0.3 = 0.185676 loss)
I0506 01:47:02.165372  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.529563 (* 1 = 0.529563 loss)
I0506 01:47:02.165381  7983 solver.cpp:464] Iteration 2200, lr = 0.00999542
I0506 01:49:02.609869  7983 solver.cpp:189] Iteration 2300, loss = 1.19348
I0506 01:49:02.609910  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.793805 (* 0.3 = 0.238142 loss)
I0506 01:49:02.609920  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.943852 (* 0.3 = 0.283156 loss)
I0506 01:49:02.609927  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.942863 (* 1 = 0.942863 loss)
I0506 01:49:02.609937  7983 solver.cpp:464] Iteration 2300, lr = 0.00999521
I0506 01:51:03.239151  7983 solver.cpp:189] Iteration 2400, loss = 1.20257
I0506 01:51:03.239190  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.418426 (* 0.3 = 0.125528 loss)
I0506 01:51:03.239202  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.394073 (* 0.3 = 0.118222 loss)
I0506 01:51:03.239209  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.410298 (* 1 = 0.410298 loss)
I0506 01:51:03.239219  7983 solver.cpp:464] Iteration 2400, lr = 0.009995
I0506 01:53:04.125560  7983 solver.cpp:189] Iteration 2500, loss = 1.18759
I0506 01:53:04.125598  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.717116 (* 0.3 = 0.215135 loss)
I0506 01:53:04.125609  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.640873 (* 0.3 = 0.192262 loss)
I0506 01:53:04.125617  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.666073 (* 1 = 0.666073 loss)
I0506 01:53:04.125627  7983 solver.cpp:464] Iteration 2500, lr = 0.00999479
I0506 01:55:04.852121  7983 solver.cpp:189] Iteration 2600, loss = 1.19096
I0506 01:55:04.852160  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.859055 (* 0.3 = 0.257717 loss)
I0506 01:55:04.852170  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.727849 (* 0.3 = 0.218355 loss)
I0506 01:55:04.852180  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.682324 (* 1 = 0.682324 loss)
I0506 01:55:04.852190  7983 solver.cpp:464] Iteration 2600, lr = 0.00999458
I0506 01:57:05.386468  7983 solver.cpp:189] Iteration 2700, loss = 1.23075
I0506 01:57:05.386507  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.768581 (* 0.3 = 0.230574 loss)
I0506 01:57:05.386517  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.677536 (* 0.3 = 0.203261 loss)
I0506 01:57:05.386525  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.66227 (* 1 = 0.66227 loss)
I0506 01:57:05.386535  7983 solver.cpp:464] Iteration 2700, lr = 0.00999437
I0506 01:59:06.030345  7983 solver.cpp:189] Iteration 2800, loss = 1.28896
I0506 01:59:06.030385  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.869547 (* 0.3 = 0.260864 loss)
I0506 01:59:06.030395  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.879749 (* 0.3 = 0.263925 loss)
I0506 01:59:06.030403  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.975619 (* 1 = 0.975619 loss)
I0506 01:59:06.030413  7983 solver.cpp:464] Iteration 2800, lr = 0.00999417
I0506 02:01:06.725471  7983 solver.cpp:189] Iteration 2900, loss = 1.1417
I0506 02:01:06.725510  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.880107 (* 0.3 = 0.264032 loss)
I0506 02:01:06.725520  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.853824 (* 0.3 = 0.256147 loss)
I0506 02:01:06.725528  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.829875 (* 1 = 0.829875 loss)
I0506 02:01:06.725538  7983 solver.cpp:464] Iteration 2900, lr = 0.00999396
I0506 02:03:06.305526  7983 solver.cpp:266] Iteration 3000, Testing net (#0)
I0506 02:03:28.544816  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04764 (* 0.3 = 0.314292 loss)
I0506 02:03:28.544839  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.621759
I0506 02:03:28.544847  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.82037
I0506 02:03:28.544854  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.965891 (* 0.3 = 0.289767 loss)
I0506 02:03:28.544860  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.625926
I0506 02:03:28.544867  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.843982
I0506 02:03:28.544874  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.967662 (* 1 = 0.967662 loss)
I0506 02:03:28.544880  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.635648
I0506 02:03:28.544886  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.835648
I0506 02:03:29.518118  7983 solver.cpp:189] Iteration 3000, loss = 1.19022
I0506 02:03:29.518156  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.643258 (* 0.3 = 0.192977 loss)
I0506 02:03:29.518165  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.5302 (* 0.3 = 0.15906 loss)
I0506 02:03:29.518174  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.6025 (* 1 = 0.6025 loss)
I0506 02:03:29.518183  7983 solver.cpp:464] Iteration 3000, lr = 0.00999375
I0506 02:05:29.930629  7983 solver.cpp:189] Iteration 3100, loss = 1.18624
I0506 02:05:29.930668  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.429445 (* 0.3 = 0.128834 loss)
I0506 02:05:29.930678  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.464579 (* 0.3 = 0.139374 loss)
I0506 02:05:29.930686  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.494467 (* 1 = 0.494467 loss)
I0506 02:05:29.930696  7983 solver.cpp:464] Iteration 3100, lr = 0.00999354
I0506 02:07:30.698534  7983 solver.cpp:189] Iteration 3200, loss = 1.16425
I0506 02:07:30.698575  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.614618 (* 0.3 = 0.184385 loss)
I0506 02:07:30.698585  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.631009 (* 0.3 = 0.189303 loss)
I0506 02:07:30.698593  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.706523 (* 1 = 0.706523 loss)
I0506 02:07:30.698603  7983 solver.cpp:464] Iteration 3200, lr = 0.00999333
I0506 02:09:31.456814  7983 solver.cpp:189] Iteration 3300, loss = 1.07494
I0506 02:09:31.456852  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.49827 (* 0.3 = 0.149481 loss)
I0506 02:09:31.456863  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.482222 (* 0.3 = 0.144667 loss)
I0506 02:09:31.456871  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.503426 (* 1 = 0.503426 loss)
I0506 02:09:31.456881  7983 solver.cpp:464] Iteration 3300, lr = 0.00999312
I0506 02:11:32.216650  7983 solver.cpp:189] Iteration 3400, loss = 1.12345
I0506 02:11:32.216686  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.49267 (* 0.3 = 0.147801 loss)
I0506 02:11:32.216696  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.599458 (* 0.3 = 0.179837 loss)
I0506 02:11:32.216704  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.618524 (* 1 = 0.618524 loss)
I0506 02:11:32.216714  7983 solver.cpp:464] Iteration 3400, lr = 0.00999291
I0506 02:13:32.893241  7983 solver.cpp:189] Iteration 3500, loss = 1.17145
I0506 02:13:32.893280  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.750428 (* 0.3 = 0.225129 loss)
I0506 02:13:32.893290  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.691351 (* 0.3 = 0.207405 loss)
I0506 02:13:32.893298  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.692231 (* 1 = 0.692231 loss)
I0506 02:13:32.893308  7983 solver.cpp:464] Iteration 3500, lr = 0.00999271
I0506 02:15:33.599460  7983 solver.cpp:189] Iteration 3600, loss = 1.11353
I0506 02:15:33.599499  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.715307 (* 0.3 = 0.214592 loss)
I0506 02:15:33.599509  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.744036 (* 0.3 = 0.223211 loss)
I0506 02:15:33.599519  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.762275 (* 1 = 0.762275 loss)
I0506 02:15:33.599529  7983 solver.cpp:464] Iteration 3600, lr = 0.0099925
I0506 02:17:34.159535  7983 solver.cpp:189] Iteration 3700, loss = 1.18537
I0506 02:17:34.159574  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.58141 (* 0.3 = 0.174423 loss)
I0506 02:17:34.159584  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.479147 (* 0.3 = 0.143744 loss)
I0506 02:17:34.159592  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.511361 (* 1 = 0.511361 loss)
I0506 02:17:34.159602  7983 solver.cpp:464] Iteration 3700, lr = 0.00999229
I0506 02:19:34.655951  7983 solver.cpp:189] Iteration 3800, loss = 1.14419
I0506 02:19:34.655990  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.681156 (* 0.3 = 0.204347 loss)
I0506 02:19:34.656000  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.756887 (* 0.3 = 0.227066 loss)
I0506 02:19:34.656008  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.690902 (* 1 = 0.690902 loss)
I0506 02:19:34.656019  7983 solver.cpp:464] Iteration 3800, lr = 0.00999208
I0506 02:21:35.249614  7983 solver.cpp:189] Iteration 3900, loss = 1.22606
I0506 02:21:35.249652  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.11529 (* 0.3 = 0.334588 loss)
I0506 02:21:35.249662  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 1.0284 (* 0.3 = 0.308519 loss)
I0506 02:21:35.249671  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.07271 (* 1 = 1.07271 loss)
I0506 02:21:35.249680  7983 solver.cpp:464] Iteration 3900, lr = 0.00999187
I0506 02:23:35.009922  7983 solver.cpp:266] Iteration 4000, Testing net (#0)
I0506 02:23:57.166530  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.14498 (* 0.3 = 0.343493 loss)
I0506 02:23:57.166553  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.600926
I0506 02:23:57.166560  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.784722
I0506 02:23:57.166569  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.14834 (* 0.3 = 0.344501 loss)
I0506 02:23:57.166576  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.59537
I0506 02:23:57.166582  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.792593
I0506 02:23:57.166591  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.17424 (* 1 = 1.17424 loss)
I0506 02:23:57.166597  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.606481
I0506 02:23:57.166602  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.789352
I0506 02:23:58.150729  7983 solver.cpp:189] Iteration 4000, loss = 1.02772
I0506 02:23:58.150766  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.666955 (* 0.3 = 0.200087 loss)
I0506 02:23:58.150776  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.701067 (* 0.3 = 0.21032 loss)
I0506 02:23:58.150785  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.711083 (* 1 = 0.711083 loss)
I0506 02:23:58.150794  7983 solver.cpp:464] Iteration 4000, lr = 0.00999166
I0506 02:25:58.994631  7983 solver.cpp:189] Iteration 4100, loss = 1.16492
I0506 02:25:58.994669  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.624576 (* 0.3 = 0.187373 loss)
I0506 02:25:58.994680  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.609564 (* 0.3 = 0.182869 loss)
I0506 02:25:58.994689  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.634346 (* 1 = 0.634346 loss)
I0506 02:25:58.994699  7983 solver.cpp:464] Iteration 4100, lr = 0.00999145
I0506 02:27:59.590132  7983 solver.cpp:189] Iteration 4200, loss = 1.11502
I0506 02:27:59.590172  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.915097 (* 0.3 = 0.274529 loss)
I0506 02:27:59.590181  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.866836 (* 0.3 = 0.260051 loss)
I0506 02:27:59.590190  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.898948 (* 1 = 0.898948 loss)
I0506 02:27:59.590199  7983 solver.cpp:464] Iteration 4200, lr = 0.00999125
I0506 02:30:00.223968  7983 solver.cpp:189] Iteration 4300, loss = 1.13816
I0506 02:30:00.224005  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.877472 (* 0.3 = 0.263242 loss)
I0506 02:30:00.224016  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.803341 (* 0.3 = 0.241002 loss)
I0506 02:30:00.224025  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.841235 (* 1 = 0.841235 loss)
I0506 02:30:00.224035  7983 solver.cpp:464] Iteration 4300, lr = 0.00999104
I0506 02:32:00.779526  7983 solver.cpp:189] Iteration 4400, loss = 1.05653
I0506 02:32:00.779564  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.5147 (* 0.3 = 0.15441 loss)
I0506 02:32:00.779574  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.509353 (* 0.3 = 0.152806 loss)
I0506 02:32:00.779582  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.488423 (* 1 = 0.488423 loss)
I0506 02:32:00.779592  7983 solver.cpp:464] Iteration 4400, lr = 0.00999083
I0506 02:34:01.195320  7983 solver.cpp:189] Iteration 4500, loss = 1.14568
I0506 02:34:01.195358  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.738523 (* 0.3 = 0.221557 loss)
I0506 02:34:01.195368  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.702831 (* 0.3 = 0.210849 loss)
I0506 02:34:01.195375  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.747638 (* 1 = 0.747638 loss)
I0506 02:34:01.195385  7983 solver.cpp:464] Iteration 4500, lr = 0.00999062
I0506 02:36:01.788532  7983 solver.cpp:189] Iteration 4600, loss = 1.07049
I0506 02:36:01.788570  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.929929 (* 0.3 = 0.278979 loss)
I0506 02:36:01.788580  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.837496 (* 0.3 = 0.251249 loss)
I0506 02:36:01.788589  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.799312 (* 1 = 0.799312 loss)
I0506 02:36:01.788599  7983 solver.cpp:464] Iteration 4600, lr = 0.00999041
I0506 02:38:02.437253  7983 solver.cpp:189] Iteration 4700, loss = 1.03341
I0506 02:38:02.437293  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.551901 (* 0.3 = 0.16557 loss)
I0506 02:38:02.437304  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.451631 (* 0.3 = 0.135489 loss)
I0506 02:38:02.437311  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.476299 (* 1 = 0.476299 loss)
I0506 02:38:02.437321  7983 solver.cpp:464] Iteration 4700, lr = 0.0099902
I0506 02:40:03.122122  7983 solver.cpp:189] Iteration 4800, loss = 1.0897
I0506 02:40:03.122160  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.605437 (* 0.3 = 0.181631 loss)
I0506 02:40:03.122170  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.649196 (* 0.3 = 0.194759 loss)
I0506 02:40:03.122179  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.633899 (* 1 = 0.633899 loss)
I0506 02:40:03.122189  7983 solver.cpp:464] Iteration 4800, lr = 0.00998999
I0506 02:42:03.701319  7983 solver.cpp:189] Iteration 4900, loss = 1.18843
I0506 02:42:03.701359  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.678068 (* 0.3 = 0.20342 loss)
I0506 02:42:03.701370  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.594105 (* 0.3 = 0.178231 loss)
I0506 02:42:03.701380  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.63264 (* 1 = 0.63264 loss)
I0506 02:42:03.701390  7983 solver.cpp:464] Iteration 4900, lr = 0.00998979
I0506 02:44:03.303585  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_5000.caffemodel
I0506 02:44:03.417206  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_5000.solverstate
I0506 02:44:03.484714  7983 solver.cpp:266] Iteration 5000, Testing net (#0)
I0506 02:44:25.536157  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04158 (* 0.3 = 0.312473 loss)
I0506 02:44:25.536183  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.628241
I0506 02:44:25.536190  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.804167
I0506 02:44:25.536200  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.995196 (* 0.3 = 0.298559 loss)
I0506 02:44:25.536206  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.631481
I0506 02:44:25.536211  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.806481
I0506 02:44:25.536219  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.982632 (* 1 = 0.982632 loss)
I0506 02:44:25.536226  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.636111
I0506 02:44:25.536231  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.810185
I0506 02:44:26.509975  7983 solver.cpp:189] Iteration 5000, loss = 1.14696
I0506 02:44:26.510013  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.743587 (* 0.3 = 0.223076 loss)
I0506 02:44:26.510023  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.660982 (* 0.3 = 0.198295 loss)
I0506 02:44:26.510032  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.611186 (* 1 = 0.611186 loss)
I0506 02:44:26.510042  7983 solver.cpp:464] Iteration 5000, lr = 0.00998958
I0506 02:46:27.169677  7983 solver.cpp:189] Iteration 5100, loss = 1.09045
I0506 02:46:27.169715  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.682407 (* 0.3 = 0.204722 loss)
I0506 02:46:27.169725  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.552113 (* 0.3 = 0.165634 loss)
I0506 02:46:27.169734  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.561394 (* 1 = 0.561394 loss)
I0506 02:46:27.169744  7983 solver.cpp:464] Iteration 5100, lr = 0.00998937
I0506 02:48:28.033113  7983 solver.cpp:189] Iteration 5200, loss = 1.02388
I0506 02:48:28.033152  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.895519 (* 0.3 = 0.268656 loss)
I0506 02:48:28.033162  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.759522 (* 0.3 = 0.227857 loss)
I0506 02:48:28.033172  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.823336 (* 1 = 0.823336 loss)
I0506 02:48:28.033182  7983 solver.cpp:464] Iteration 5200, lr = 0.00998916
I0506 02:50:28.453429  7983 solver.cpp:189] Iteration 5300, loss = 1.01288
I0506 02:50:28.453467  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.647393 (* 0.3 = 0.194218 loss)
I0506 02:50:28.453477  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.581387 (* 0.3 = 0.174416 loss)
I0506 02:50:28.453486  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.628704 (* 1 = 0.628704 loss)
I0506 02:50:28.453496  7983 solver.cpp:464] Iteration 5300, lr = 0.00998895
I0506 02:52:29.168553  7983 solver.cpp:189] Iteration 5400, loss = 0.962972
I0506 02:52:29.168591  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.04813 (* 0.3 = 0.314439 loss)
I0506 02:52:29.168602  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.967081 (* 0.3 = 0.290124 loss)
I0506 02:52:29.168625  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 1.07222 (* 1 = 1.07222 loss)
I0506 02:52:29.168635  7983 solver.cpp:464] Iteration 5400, lr = 0.00998874
I0506 02:54:30.018560  7983 solver.cpp:189] Iteration 5500, loss = 0.982062
I0506 02:54:30.018599  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.644208 (* 0.3 = 0.193262 loss)
I0506 02:54:30.018610  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.693962 (* 0.3 = 0.208188 loss)
I0506 02:54:30.018618  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.694342 (* 1 = 0.694342 loss)
I0506 02:54:30.018628  7983 solver.cpp:464] Iteration 5500, lr = 0.00998854
I0506 02:56:30.864496  7983 solver.cpp:189] Iteration 5600, loss = 1.00453
I0506 02:56:30.864536  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.721807 (* 0.3 = 0.216542 loss)
I0506 02:56:30.864545  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.721493 (* 0.3 = 0.216448 loss)
I0506 02:56:30.864553  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.756013 (* 1 = 0.756013 loss)
I0506 02:56:30.864564  7983 solver.cpp:464] Iteration 5600, lr = 0.00998833
I0506 02:58:31.275856  7983 solver.cpp:189] Iteration 5700, loss = 1.07038
I0506 02:58:31.275894  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.643501 (* 0.3 = 0.19305 loss)
I0506 02:58:31.275905  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.603795 (* 0.3 = 0.181138 loss)
I0506 02:58:31.275913  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.592927 (* 1 = 0.592927 loss)
I0506 02:58:31.275924  7983 solver.cpp:464] Iteration 5700, lr = 0.00998812
I0506 03:00:32.089464  7983 solver.cpp:189] Iteration 5800, loss = 0.965187
I0506 03:00:32.089504  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.667716 (* 0.3 = 0.200315 loss)
I0506 03:00:32.089514  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.541497 (* 0.3 = 0.162449 loss)
I0506 03:00:32.089524  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.584294 (* 1 = 0.584294 loss)
I0506 03:00:32.089534  7983 solver.cpp:464] Iteration 5800, lr = 0.00998791
I0506 03:02:32.939507  7983 solver.cpp:189] Iteration 5900, loss = 1.02773
I0506 03:02:32.939545  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.430412 (* 0.3 = 0.129124 loss)
I0506 03:02:32.939555  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.461484 (* 0.3 = 0.138445 loss)
I0506 03:02:32.939564  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.510919 (* 1 = 0.510919 loss)
I0506 03:02:32.939574  7983 solver.cpp:464] Iteration 5900, lr = 0.0099877
I0506 03:04:32.650902  7983 solver.cpp:266] Iteration 6000, Testing net (#0)
I0506 03:04:54.977077  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.136 (* 0.3 = 0.340799 loss)
I0506 03:04:54.977100  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.61713
I0506 03:04:54.977108  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.803241
I0506 03:04:54.977116  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.10403 (* 0.3 = 0.33121 loss)
I0506 03:04:54.977123  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.623148
I0506 03:04:54.977128  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.806481
I0506 03:04:54.977136  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.1274 (* 1 = 1.1274 loss)
I0506 03:04:54.977143  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.611111
I0506 03:04:54.977149  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.800463
I0506 03:04:55.949970  7983 solver.cpp:189] Iteration 6000, loss = 1.0082
I0506 03:04:55.950007  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.511337 (* 0.3 = 0.153401 loss)
I0506 03:04:55.950017  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.548648 (* 0.3 = 0.164594 loss)
I0506 03:04:55.950026  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.576403 (* 1 = 0.576403 loss)
I0506 03:04:55.950036  7983 solver.cpp:464] Iteration 6000, lr = 0.00998749
I0506 03:06:56.497231  7983 solver.cpp:189] Iteration 6100, loss = 1.03996
I0506 03:06:56.497270  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.507461 (* 0.3 = 0.152238 loss)
I0506 03:06:56.497280  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.469794 (* 0.3 = 0.140938 loss)
I0506 03:06:56.497289  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.420324 (* 1 = 0.420324 loss)
I0506 03:06:56.497300  7983 solver.cpp:464] Iteration 6100, lr = 0.00998728
I0506 03:08:57.237093  7983 solver.cpp:189] Iteration 6200, loss = 0.963522
I0506 03:08:57.237130  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.647881 (* 0.3 = 0.194364 loss)
I0506 03:08:57.237140  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.729429 (* 0.3 = 0.218829 loss)
I0506 03:08:57.237149  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.687902 (* 1 = 0.687902 loss)
I0506 03:08:57.237159  7983 solver.cpp:464] Iteration 6200, lr = 0.00998707
I0506 03:10:57.834242  7983 solver.cpp:189] Iteration 6300, loss = 0.943854
I0506 03:10:57.834280  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.74482 (* 0.3 = 0.223446 loss)
I0506 03:10:57.834290  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.727776 (* 0.3 = 0.218333 loss)
I0506 03:10:57.834298  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.725404 (* 1 = 0.725404 loss)
I0506 03:10:57.834308  7983 solver.cpp:464] Iteration 6300, lr = 0.00998687
I0506 03:12:58.627985  7983 solver.cpp:189] Iteration 6400, loss = 1.02086
I0506 03:12:58.628023  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.779367 (* 0.3 = 0.23381 loss)
I0506 03:12:58.628033  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.700398 (* 0.3 = 0.210119 loss)
I0506 03:12:58.628043  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.75995 (* 1 = 0.75995 loss)
I0506 03:12:58.628054  7983 solver.cpp:464] Iteration 6400, lr = 0.00998666
I0506 03:14:59.411195  7983 solver.cpp:189] Iteration 6500, loss = 1.01113
I0506 03:14:59.411233  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.73383 (* 0.3 = 0.220149 loss)
I0506 03:14:59.411243  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.736116 (* 0.3 = 0.220835 loss)
I0506 03:14:59.411252  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.722054 (* 1 = 0.722054 loss)
I0506 03:14:59.411262  7983 solver.cpp:464] Iteration 6500, lr = 0.00998645
I0506 03:16:59.742509  7983 solver.cpp:189] Iteration 6600, loss = 0.978416
I0506 03:16:59.742548  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.752459 (* 0.3 = 0.225738 loss)
I0506 03:16:59.742558  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.674148 (* 0.3 = 0.202244 loss)
I0506 03:16:59.742566  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.646482 (* 1 = 0.646482 loss)
I0506 03:16:59.742578  7983 solver.cpp:464] Iteration 6600, lr = 0.00998624
I0506 03:19:00.131346  7983 solver.cpp:189] Iteration 6700, loss = 1.06278
I0506 03:19:00.131383  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.474709 (* 0.3 = 0.142413 loss)
I0506 03:19:00.131393  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.424596 (* 0.3 = 0.127379 loss)
I0506 03:19:00.131402  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.436762 (* 1 = 0.436762 loss)
I0506 03:19:00.131412  7983 solver.cpp:464] Iteration 6700, lr = 0.00998603
I0506 03:21:01.083509  7983 solver.cpp:189] Iteration 6800, loss = 1.07968
I0506 03:21:01.083556  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.535732 (* 0.3 = 0.16072 loss)
I0506 03:21:01.083567  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.544133 (* 0.3 = 0.16324 loss)
I0506 03:21:01.083576  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.54525 (* 1 = 0.54525 loss)
I0506 03:21:01.083587  7983 solver.cpp:464] Iteration 6800, lr = 0.00998582
I0506 03:23:02.642169  7983 solver.cpp:189] Iteration 6900, loss = 0.885849
I0506 03:23:02.642218  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.333685 (* 0.3 = 0.100106 loss)
I0506 03:23:02.642230  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.321484 (* 0.3 = 0.0964452 loss)
I0506 03:23:02.642238  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.288565 (* 1 = 0.288565 loss)
I0506 03:23:02.642249  7983 solver.cpp:464] Iteration 6900, lr = 0.00998561
I0506 03:25:02.153942  7983 solver.cpp:266] Iteration 7000, Testing net (#0)
I0506 03:25:24.307194  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 0.987033 (* 0.3 = 0.29611 loss)
I0506 03:25:24.307217  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.655093
I0506 03:25:24.307224  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.840741
I0506 03:25:24.307232  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.955769 (* 0.3 = 0.286731 loss)
I0506 03:25:24.307240  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.67037
I0506 03:25:24.307245  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.854167
I0506 03:25:24.307253  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.949837 (* 1 = 0.949837 loss)
I0506 03:25:24.307258  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.662037
I0506 03:25:24.307265  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.849537
I0506 03:25:25.281044  7983 solver.cpp:189] Iteration 7000, loss = 1.0255
I0506 03:25:25.281081  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.42514 (* 0.3 = 0.127542 loss)
I0506 03:25:25.281092  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.406607 (* 0.3 = 0.121982 loss)
I0506 03:25:25.281100  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.44156 (* 1 = 0.44156 loss)
I0506 03:25:25.281111  7983 solver.cpp:464] Iteration 7000, lr = 0.00998541
I0506 03:27:26.069746  7983 solver.cpp:189] Iteration 7100, loss = 1.01707
I0506 03:27:26.069784  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.744365 (* 0.3 = 0.223309 loss)
I0506 03:27:26.069794  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.682367 (* 0.3 = 0.20471 loss)
I0506 03:27:26.069803  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.747395 (* 1 = 0.747395 loss)
I0506 03:27:26.069813  7983 solver.cpp:464] Iteration 7100, lr = 0.0099852
I0506 03:29:26.802536  7983 solver.cpp:189] Iteration 7200, loss = 0.97568
I0506 03:29:26.802575  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.72486 (* 0.3 = 0.217458 loss)
I0506 03:29:26.802585  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.699461 (* 0.3 = 0.209838 loss)
I0506 03:29:26.802594  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.686789 (* 1 = 0.686789 loss)
I0506 03:29:26.802604  7983 solver.cpp:464] Iteration 7200, lr = 0.00998499
I0506 03:31:27.315306  7983 solver.cpp:189] Iteration 7300, loss = 0.988712
I0506 03:31:27.315343  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.534394 (* 0.3 = 0.160318 loss)
I0506 03:31:27.315354  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.432267 (* 0.3 = 0.12968 loss)
I0506 03:31:27.315362  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.384995 (* 1 = 0.384995 loss)
I0506 03:31:27.315372  7983 solver.cpp:464] Iteration 7300, lr = 0.00998478
I0506 03:33:27.886263  7983 solver.cpp:189] Iteration 7400, loss = 1.01015
I0506 03:33:27.886301  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.760055 (* 0.3 = 0.228017 loss)
I0506 03:33:27.886312  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.687688 (* 0.3 = 0.206306 loss)
I0506 03:33:27.886319  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.692026 (* 1 = 0.692026 loss)
I0506 03:33:27.886329  7983 solver.cpp:464] Iteration 7400, lr = 0.00998457
I0506 03:35:28.617611  7983 solver.cpp:189] Iteration 7500, loss = 1.00656
I0506 03:35:28.617650  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.78564 (* 0.3 = 0.235692 loss)
I0506 03:35:28.617660  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.839358 (* 0.3 = 0.251807 loss)
I0506 03:35:28.617668  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.82228 (* 1 = 0.82228 loss)
I0506 03:35:28.617679  7983 solver.cpp:464] Iteration 7500, lr = 0.00998436
I0506 03:37:29.403110  7983 solver.cpp:189] Iteration 7600, loss = 0.96025
I0506 03:37:29.403148  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.631623 (* 0.3 = 0.189487 loss)
I0506 03:37:29.403158  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.621961 (* 0.3 = 0.186588 loss)
I0506 03:37:29.403167  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.799642 (* 1 = 0.799642 loss)
I0506 03:37:29.403177  7983 solver.cpp:464] Iteration 7600, lr = 0.00998415
I0506 03:39:29.944290  7983 solver.cpp:189] Iteration 7700, loss = 0.937995
I0506 03:39:29.944330  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.645165 (* 0.3 = 0.193549 loss)
I0506 03:39:29.944340  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.567949 (* 0.3 = 0.170385 loss)
I0506 03:39:29.944350  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.590586 (* 1 = 0.590586 loss)
I0506 03:39:29.944360  7983 solver.cpp:464] Iteration 7700, lr = 0.00998395
I0506 03:41:30.602984  7983 solver.cpp:189] Iteration 7800, loss = 1.03039
I0506 03:41:30.603024  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.676534 (* 0.3 = 0.20296 loss)
I0506 03:41:30.603034  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.762628 (* 0.3 = 0.228788 loss)
I0506 03:41:30.603042  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.697826 (* 1 = 0.697826 loss)
I0506 03:41:30.603052  7983 solver.cpp:464] Iteration 7800, lr = 0.00998374
I0506 03:43:31.215528  7983 solver.cpp:189] Iteration 7900, loss = 1.00407
I0506 03:43:31.215567  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.547479 (* 0.3 = 0.164244 loss)
I0506 03:43:31.215577  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.428928 (* 0.3 = 0.128678 loss)
I0506 03:43:31.215585  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.520229 (* 1 = 0.520229 loss)
I0506 03:43:31.215596  7983 solver.cpp:464] Iteration 7900, lr = 0.00998353
I0506 03:45:30.738344  7983 solver.cpp:266] Iteration 8000, Testing net (#0)
I0506 03:45:53.009383  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 0.991859 (* 0.3 = 0.297558 loss)
I0506 03:45:53.009408  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.652778
I0506 03:45:53.009415  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.842593
I0506 03:45:53.009423  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.966608 (* 0.3 = 0.289982 loss)
I0506 03:45:53.009430  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.652315
I0506 03:45:53.009436  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.853241
I0506 03:45:53.009444  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.98878 (* 1 = 0.98878 loss)
I0506 03:45:53.009450  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.64537
I0506 03:45:53.009455  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.846759
I0506 03:45:53.982329  7983 solver.cpp:189] Iteration 8000, loss = 0.945082
I0506 03:45:53.982367  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.627972 (* 0.3 = 0.188392 loss)
I0506 03:45:53.982378  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.503316 (* 0.3 = 0.150995 loss)
I0506 03:45:53.982386  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.545233 (* 1 = 0.545233 loss)
I0506 03:45:53.982395  7983 solver.cpp:464] Iteration 8000, lr = 0.00998332
I0506 03:47:54.719813  7983 solver.cpp:189] Iteration 8100, loss = 0.916346
I0506 03:47:54.719851  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.774108 (* 0.3 = 0.232233 loss)
I0506 03:47:54.719861  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.688061 (* 0.3 = 0.206418 loss)
I0506 03:47:54.719871  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.63482 (* 1 = 0.63482 loss)
I0506 03:47:54.719880  7983 solver.cpp:464] Iteration 8100, lr = 0.00998311
I0506 03:49:55.063446  7983 solver.cpp:189] Iteration 8200, loss = 0.951786
I0506 03:49:55.063487  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.517031 (* 0.3 = 0.155109 loss)
I0506 03:49:55.063496  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.445164 (* 0.3 = 0.133549 loss)
I0506 03:49:55.063505  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.44127 (* 1 = 0.44127 loss)
I0506 03:49:55.063516  7983 solver.cpp:464] Iteration 8200, lr = 0.0099829
I0506 03:51:55.796733  7983 solver.cpp:189] Iteration 8300, loss = 0.891579
I0506 03:51:55.796772  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.37396 (* 0.3 = 0.112188 loss)
I0506 03:51:55.796783  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.393124 (* 0.3 = 0.117937 loss)
I0506 03:51:55.796792  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.41984 (* 1 = 0.41984 loss)
I0506 03:51:55.796802  7983 solver.cpp:464] Iteration 8300, lr = 0.00998269
I0506 03:53:56.566225  7983 solver.cpp:189] Iteration 8400, loss = 0.910662
I0506 03:53:56.566264  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.504373 (* 0.3 = 0.151312 loss)
I0506 03:53:56.566274  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.523311 (* 0.3 = 0.156993 loss)
I0506 03:53:56.566283  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.545305 (* 1 = 0.545305 loss)
I0506 03:53:56.566293  7983 solver.cpp:464] Iteration 8400, lr = 0.00998248
I0506 03:55:57.642729  7983 solver.cpp:189] Iteration 8500, loss = 0.896658
I0506 03:55:57.642766  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.540189 (* 0.3 = 0.162057 loss)
I0506 03:55:57.642776  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.548263 (* 0.3 = 0.164479 loss)
I0506 03:55:57.642784  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.587661 (* 1 = 0.587661 loss)
I0506 03:55:57.642794  7983 solver.cpp:464] Iteration 8500, lr = 0.00998228
I0506 03:57:58.007154  7983 solver.cpp:189] Iteration 8600, loss = 0.964205
I0506 03:57:58.007194  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.703938 (* 0.3 = 0.211181 loss)
I0506 03:57:58.007203  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.650388 (* 0.3 = 0.195116 loss)
I0506 03:57:58.007212  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.604043 (* 1 = 0.604043 loss)
I0506 03:57:58.007222  7983 solver.cpp:464] Iteration 8600, lr = 0.00998207
I0506 03:59:58.529113  7983 solver.cpp:189] Iteration 8700, loss = 0.830082
I0506 03:59:58.529151  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.508772 (* 0.3 = 0.152632 loss)
I0506 03:59:58.529161  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.479555 (* 0.3 = 0.143866 loss)
I0506 03:59:58.529170  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.513852 (* 1 = 0.513852 loss)
I0506 03:59:58.529181  7983 solver.cpp:464] Iteration 8700, lr = 0.00998186
I0506 04:01:59.130205  7983 solver.cpp:189] Iteration 8800, loss = 0.95397
I0506 04:01:59.130244  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.36526 (* 0.3 = 0.109578 loss)
I0506 04:01:59.130255  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.381311 (* 0.3 = 0.114393 loss)
I0506 04:01:59.130264  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.374461 (* 1 = 0.374461 loss)
I0506 04:01:59.130273  7983 solver.cpp:464] Iteration 8800, lr = 0.00998165
I0506 04:03:59.877112  7983 solver.cpp:189] Iteration 8900, loss = 0.944094
I0506 04:03:59.877151  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.364644 (* 0.3 = 0.109393 loss)
I0506 04:03:59.877161  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.394664 (* 0.3 = 0.118399 loss)
I0506 04:03:59.877169  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.364146 (* 1 = 0.364146 loss)
I0506 04:03:59.877181  7983 solver.cpp:464] Iteration 8900, lr = 0.00998144
I0506 04:05:59.475178  7983 solver.cpp:266] Iteration 9000, Testing net (#0)
I0506 04:06:21.688531  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.00441 (* 0.3 = 0.301324 loss)
I0506 04:06:21.688557  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.633796
I0506 04:06:21.688565  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.831944
I0506 04:06:21.688573  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.981157 (* 0.3 = 0.294347 loss)
I0506 04:06:21.688580  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.642593
I0506 04:06:21.688586  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.827778
I0506 04:06:21.688594  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.97718 (* 1 = 0.97718 loss)
I0506 04:06:21.688601  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.64537
I0506 04:06:21.688614  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.830093
I0506 04:06:22.660950  7983 solver.cpp:189] Iteration 9000, loss = 0.969459
I0506 04:06:22.660987  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.386073 (* 0.3 = 0.115822 loss)
I0506 04:06:22.660998  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.407199 (* 0.3 = 0.12216 loss)
I0506 04:06:22.661006  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.459048 (* 1 = 0.459048 loss)
I0506 04:06:22.661016  7983 solver.cpp:464] Iteration 9000, lr = 0.00998123
I0506 04:08:23.386595  7983 solver.cpp:189] Iteration 9100, loss = 0.869763
I0506 04:08:23.386636  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.408553 (* 0.3 = 0.122566 loss)
I0506 04:08:23.386646  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.48388 (* 0.3 = 0.145164 loss)
I0506 04:08:23.386654  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.558989 (* 1 = 0.558989 loss)
I0506 04:08:23.386664  7983 solver.cpp:464] Iteration 9100, lr = 0.00998102
I0506 04:10:24.126714  7983 solver.cpp:189] Iteration 9200, loss = 0.88483
I0506 04:10:24.126754  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.556565 (* 0.3 = 0.166969 loss)
I0506 04:10:24.126763  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.500412 (* 0.3 = 0.150123 loss)
I0506 04:10:24.126772  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.415782 (* 1 = 0.415782 loss)
I0506 04:10:24.126782  7983 solver.cpp:464] Iteration 9200, lr = 0.00998081
I0506 04:12:25.195840  7983 solver.cpp:189] Iteration 9300, loss = 0.878043
I0506 04:12:25.195879  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.663237 (* 0.3 = 0.198971 loss)
I0506 04:12:25.195889  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.640864 (* 0.3 = 0.192259 loss)
I0506 04:12:25.195899  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.597338 (* 1 = 0.597338 loss)
I0506 04:12:25.195909  7983 solver.cpp:464] Iteration 9300, lr = 0.00998061
I0506 04:14:25.896564  7983 solver.cpp:189] Iteration 9400, loss = 0.862437
I0506 04:14:25.896603  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.356056 (* 0.3 = 0.106817 loss)
I0506 04:14:25.896623  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.422865 (* 0.3 = 0.12686 loss)
I0506 04:14:25.896632  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.434803 (* 1 = 0.434803 loss)
I0506 04:14:25.896642  7983 solver.cpp:464] Iteration 9400, lr = 0.0099804
I0506 04:16:26.256840  7983 solver.cpp:189] Iteration 9500, loss = 0.882303
I0506 04:16:26.256878  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.686518 (* 0.3 = 0.205955 loss)
I0506 04:16:26.256889  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.722722 (* 0.3 = 0.216817 loss)
I0506 04:16:26.256897  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.737782 (* 1 = 0.737782 loss)
I0506 04:16:26.256907  7983 solver.cpp:464] Iteration 9500, lr = 0.00998019
I0506 04:18:26.723177  7983 solver.cpp:189] Iteration 9600, loss = 0.928127
I0506 04:18:26.723219  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.498301 (* 0.3 = 0.14949 loss)
I0506 04:18:26.723230  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.544487 (* 0.3 = 0.163346 loss)
I0506 04:18:26.723239  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.491938 (* 1 = 0.491938 loss)
I0506 04:18:26.723249  7983 solver.cpp:464] Iteration 9600, lr = 0.00997998
I0506 04:20:27.374622  7983 solver.cpp:189] Iteration 9700, loss = 0.878153
I0506 04:20:27.374660  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.649151 (* 0.3 = 0.194745 loss)
I0506 04:20:27.374671  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.549574 (* 0.3 = 0.164872 loss)
I0506 04:20:27.374680  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.493403 (* 1 = 0.493403 loss)
I0506 04:20:27.374689  7983 solver.cpp:464] Iteration 9700, lr = 0.00997977
I0506 04:22:27.963904  7983 solver.cpp:189] Iteration 9800, loss = 0.855599
I0506 04:22:27.963943  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.399637 (* 0.3 = 0.119891 loss)
I0506 04:22:27.963954  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.439981 (* 0.3 = 0.131994 loss)
I0506 04:22:27.963963  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.442155 (* 1 = 0.442155 loss)
I0506 04:22:27.963973  7983 solver.cpp:464] Iteration 9800, lr = 0.00997956
I0506 04:24:28.627347  7983 solver.cpp:189] Iteration 9900, loss = 0.942062
I0506 04:24:28.627388  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.432797 (* 0.3 = 0.129839 loss)
I0506 04:24:28.627398  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.441095 (* 0.3 = 0.132329 loss)
I0506 04:24:28.627405  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.418129 (* 1 = 0.418129 loss)
I0506 04:24:28.627416  7983 solver.cpp:464] Iteration 9900, lr = 0.00997935
I0506 04:26:28.396631  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_10000.caffemodel
I0506 04:26:28.495796  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_10000.solverstate
I0506 04:26:28.562602  7983 solver.cpp:266] Iteration 10000, Testing net (#0)
I0506 04:26:50.685168  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 0.956569 (* 0.3 = 0.286971 loss)
I0506 04:26:50.685191  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.647685
I0506 04:26:50.685199  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.844907
I0506 04:26:50.685206  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.90913 (* 0.3 = 0.272739 loss)
I0506 04:26:50.685214  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.663889
I0506 04:26:50.685220  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.852778
I0506 04:26:50.685227  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.923961 (* 1 = 0.923961 loss)
I0506 04:26:50.685232  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.658796
I0506 04:26:50.685238  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.849537
I0506 04:26:51.659077  7983 solver.cpp:189] Iteration 10000, loss = 0.91183
I0506 04:26:51.659114  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.674195 (* 0.3 = 0.202258 loss)
I0506 04:26:51.659123  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.668759 (* 0.3 = 0.200628 loss)
I0506 04:26:51.659132  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.691562 (* 1 = 0.691562 loss)
I0506 04:26:51.659142  7983 solver.cpp:464] Iteration 10000, lr = 0.00997914
I0506 04:28:52.262595  7983 solver.cpp:189] Iteration 10100, loss = 0.917819
I0506 04:28:52.262634  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.48862 (* 0.3 = 0.146586 loss)
I0506 04:28:52.262645  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.539512 (* 0.3 = 0.161854 loss)
I0506 04:28:52.262652  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.666053 (* 1 = 0.666053 loss)
I0506 04:28:52.262663  7983 solver.cpp:464] Iteration 10100, lr = 0.00997894
I0506 04:30:52.827620  7983 solver.cpp:189] Iteration 10200, loss = 0.851237
I0506 04:30:52.827658  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.390652 (* 0.3 = 0.117195 loss)
I0506 04:30:52.827668  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.354384 (* 0.3 = 0.106315 loss)
I0506 04:30:52.827677  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.353903 (* 1 = 0.353903 loss)
I0506 04:30:52.827687  7983 solver.cpp:464] Iteration 10200, lr = 0.00997873
I0506 04:32:53.391096  7983 solver.cpp:189] Iteration 10300, loss = 0.884745
I0506 04:32:53.391134  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.308755 (* 0.3 = 0.0926265 loss)
I0506 04:32:53.391145  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.306902 (* 0.3 = 0.0920705 loss)
I0506 04:32:53.391155  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.294041 (* 1 = 0.294041 loss)
I0506 04:32:53.391165  7983 solver.cpp:464] Iteration 10300, lr = 0.00997852
I0506 04:34:54.205492  7983 solver.cpp:189] Iteration 10400, loss = 0.839714
I0506 04:34:54.205530  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.611984 (* 0.3 = 0.183595 loss)
I0506 04:34:54.205541  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.681314 (* 0.3 = 0.204394 loss)
I0506 04:34:54.205549  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.6956 (* 1 = 0.6956 loss)
I0506 04:34:54.205559  7983 solver.cpp:464] Iteration 10400, lr = 0.00997831
I0506 04:36:55.110502  7983 solver.cpp:189] Iteration 10500, loss = 0.898056
I0506 04:36:55.110540  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.666278 (* 0.3 = 0.199883 loss)
I0506 04:36:55.110550  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.621287 (* 0.3 = 0.186386 loss)
I0506 04:36:55.110560  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.570716 (* 1 = 0.570716 loss)
I0506 04:36:55.110569  7983 solver.cpp:464] Iteration 10500, lr = 0.0099781
I0506 04:38:55.794764  7983 solver.cpp:189] Iteration 10600, loss = 0.893876
I0506 04:38:55.794801  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.532051 (* 0.3 = 0.159615 loss)
I0506 04:38:55.794811  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.540836 (* 0.3 = 0.162251 loss)
I0506 04:38:55.794821  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.608012 (* 1 = 0.608012 loss)
I0506 04:38:55.794831  7983 solver.cpp:464] Iteration 10600, lr = 0.00997789
I0506 04:40:56.539772  7983 solver.cpp:189] Iteration 10700, loss = 0.896496
I0506 04:40:56.539810  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.613997 (* 0.3 = 0.184199 loss)
I0506 04:40:56.539820  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.628179 (* 0.3 = 0.188454 loss)
I0506 04:40:56.539829  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.632669 (* 1 = 0.632669 loss)
I0506 04:40:56.539839  7983 solver.cpp:464] Iteration 10700, lr = 0.00997768
I0506 04:42:57.406378  7983 solver.cpp:189] Iteration 10800, loss = 0.890623
I0506 04:42:57.406415  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.571611 (* 0.3 = 0.171483 loss)
I0506 04:42:57.406424  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.491507 (* 0.3 = 0.147452 loss)
I0506 04:42:57.406433  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.486109 (* 1 = 0.486109 loss)
I0506 04:42:57.406443  7983 solver.cpp:464] Iteration 10800, lr = 0.00997747
I0506 04:44:58.178205  7983 solver.cpp:189] Iteration 10900, loss = 0.870377
I0506 04:44:58.178244  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.544308 (* 0.3 = 0.163292 loss)
I0506 04:44:58.178256  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.618648 (* 0.3 = 0.185594 loss)
I0506 04:44:58.178263  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.675598 (* 1 = 0.675598 loss)
I0506 04:44:58.178273  7983 solver.cpp:464] Iteration 10900, lr = 0.00997727
I0506 04:46:57.850142  7983 solver.cpp:266] Iteration 11000, Testing net (#0)
I0506 04:47:20.099728  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 0.935582 (* 0.3 = 0.280675 loss)
I0506 04:47:20.099752  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.668981
I0506 04:47:20.099759  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.852778
I0506 04:47:20.099768  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.914701 (* 0.3 = 0.27441 loss)
I0506 04:47:20.099774  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.665278
I0506 04:47:20.099781  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.858796
I0506 04:47:20.099788  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.931366 (* 1 = 0.931366 loss)
I0506 04:47:20.099794  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.665741
I0506 04:47:20.099800  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.856019
I0506 04:47:21.072788  7983 solver.cpp:189] Iteration 11000, loss = 0.82738
I0506 04:47:21.072824  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.831661 (* 0.3 = 0.249498 loss)
I0506 04:47:21.072834  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.803826 (* 0.3 = 0.241148 loss)
I0506 04:47:21.072842  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.864282 (* 1 = 0.864282 loss)
I0506 04:47:21.072852  7983 solver.cpp:464] Iteration 11000, lr = 0.00997706
I0506 04:49:21.815177  7983 solver.cpp:189] Iteration 11100, loss = 0.829758
I0506 04:49:21.815217  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.466841 (* 0.3 = 0.140052 loss)
I0506 04:49:21.815227  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.400311 (* 0.3 = 0.120093 loss)
I0506 04:49:21.815235  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.418892 (* 1 = 0.418892 loss)
I0506 04:49:21.815245  7983 solver.cpp:464] Iteration 11100, lr = 0.00997685
I0506 04:51:22.465229  7983 solver.cpp:189] Iteration 11200, loss = 0.863486
I0506 04:51:22.465267  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.00676 (* 0.3 = 0.302029 loss)
I0506 04:51:22.465277  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.744029 (* 0.3 = 0.223209 loss)
I0506 04:51:22.465286  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.87731 (* 1 = 0.87731 loss)
I0506 04:51:22.465296  7983 solver.cpp:464] Iteration 11200, lr = 0.00997664
I0506 04:53:22.847944  7983 solver.cpp:189] Iteration 11300, loss = 0.838586
I0506 04:53:22.847983  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.483356 (* 0.3 = 0.145007 loss)
I0506 04:53:22.847993  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.388051 (* 0.3 = 0.116415 loss)
I0506 04:53:22.848002  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.429069 (* 1 = 0.429069 loss)
I0506 04:53:22.848013  7983 solver.cpp:464] Iteration 11300, lr = 0.00997643
I0506 04:55:23.671600  7983 solver.cpp:189] Iteration 11400, loss = 0.797574
I0506 04:55:23.671639  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.449997 (* 0.3 = 0.134999 loss)
I0506 04:55:23.671649  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.400514 (* 0.3 = 0.120154 loss)
I0506 04:55:23.671658  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.429834 (* 1 = 0.429834 loss)
I0506 04:55:23.671668  7983 solver.cpp:464] Iteration 11400, lr = 0.00997622
I0506 04:57:24.312207  7983 solver.cpp:189] Iteration 11500, loss = 0.873581
I0506 04:57:24.312245  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.80828 (* 0.3 = 0.242484 loss)
I0506 04:57:24.312255  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.675988 (* 0.3 = 0.202797 loss)
I0506 04:57:24.312264  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.720918 (* 1 = 0.720918 loss)
I0506 04:57:24.312274  7983 solver.cpp:464] Iteration 11500, lr = 0.00997601
I0506 04:59:25.112414  7983 solver.cpp:189] Iteration 11600, loss = 0.818141
I0506 04:59:25.112453  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.400344 (* 0.3 = 0.120103 loss)
I0506 04:59:25.112463  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.482585 (* 0.3 = 0.144776 loss)
I0506 04:59:25.112473  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.488577 (* 1 = 0.488577 loss)
I0506 04:59:25.112483  7983 solver.cpp:464] Iteration 11600, lr = 0.0099758
I0506 05:01:25.899278  7983 solver.cpp:189] Iteration 11700, loss = 0.890609
I0506 05:01:25.899317  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.433975 (* 0.3 = 0.130192 loss)
I0506 05:01:25.899328  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.402162 (* 0.3 = 0.120649 loss)
I0506 05:01:25.899338  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.503041 (* 1 = 0.503041 loss)
I0506 05:01:25.899348  7983 solver.cpp:464] Iteration 11700, lr = 0.0099756
I0506 05:03:26.268791  7983 solver.cpp:189] Iteration 11800, loss = 0.84242
I0506 05:03:26.268828  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.46465 (* 0.3 = 0.139395 loss)
I0506 05:03:26.268839  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.377453 (* 0.3 = 0.113236 loss)
I0506 05:03:26.268847  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.441999 (* 1 = 0.441999 loss)
I0506 05:03:26.268857  7983 solver.cpp:464] Iteration 11800, lr = 0.00997539
I0506 05:05:26.927889  7983 solver.cpp:189] Iteration 11900, loss = 0.875263
I0506 05:05:26.927928  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.522091 (* 0.3 = 0.156627 loss)
I0506 05:05:26.927938  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.593986 (* 0.3 = 0.178196 loss)
I0506 05:05:26.927947  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.600642 (* 1 = 0.600642 loss)
I0506 05:05:26.927958  7983 solver.cpp:464] Iteration 11900, lr = 0.00997518
I0506 05:07:26.354873  7983 solver.cpp:266] Iteration 12000, Testing net (#0)
I0506 05:07:48.455013  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.05448 (* 0.3 = 0.316343 loss)
I0506 05:07:48.455035  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.649074
I0506 05:07:48.455042  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.853241
I0506 05:07:48.455051  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.01378 (* 0.3 = 0.304135 loss)
I0506 05:07:48.455057  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.650463
I0506 05:07:48.455063  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.859259
I0506 05:07:48.455071  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.00475 (* 1 = 1.00475 loss)
I0506 05:07:48.455076  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.646759
I0506 05:07:48.455082  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.858333
I0506 05:07:49.438397  7983 solver.cpp:189] Iteration 12000, loss = 0.782278
I0506 05:07:49.438433  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.504976 (* 0.3 = 0.151493 loss)
I0506 05:07:49.438443  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.46168 (* 0.3 = 0.138504 loss)
I0506 05:07:49.438452  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.402052 (* 1 = 0.402052 loss)
I0506 05:07:49.438462  7983 solver.cpp:464] Iteration 12000, lr = 0.00997497
I0506 05:09:50.214527  7983 solver.cpp:189] Iteration 12100, loss = 0.853153
I0506 05:09:50.214566  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.663457 (* 0.3 = 0.199037 loss)
I0506 05:09:50.214576  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.544335 (* 0.3 = 0.163301 loss)
I0506 05:09:50.214586  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.605295 (* 1 = 0.605295 loss)
I0506 05:09:50.214596  7983 solver.cpp:464] Iteration 12100, lr = 0.00997476
I0506 05:11:50.906682  7983 solver.cpp:189] Iteration 12200, loss = 0.819332
I0506 05:11:50.906719  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.11765 (* 0.3 = 0.335296 loss)
I0506 05:11:50.906729  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.832321 (* 0.3 = 0.249696 loss)
I0506 05:11:50.906738  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.915191 (* 1 = 0.915191 loss)
I0506 05:11:50.906747  7983 solver.cpp:464] Iteration 12200, lr = 0.00997455
I0506 05:13:51.706712  7983 solver.cpp:189] Iteration 12300, loss = 0.900798
I0506 05:13:51.706751  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.373799 (* 0.3 = 0.11214 loss)
I0506 05:13:51.706763  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.339684 (* 0.3 = 0.101905 loss)
I0506 05:13:51.706771  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.379034 (* 1 = 0.379034 loss)
I0506 05:13:51.706781  7983 solver.cpp:464] Iteration 12300, lr = 0.00997434
I0506 05:15:52.221936  7983 solver.cpp:189] Iteration 12400, loss = 0.798063
I0506 05:15:52.221976  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.961894 (* 0.3 = 0.288568 loss)
I0506 05:15:52.221985  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.841675 (* 0.3 = 0.252503 loss)
I0506 05:15:52.221994  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.838374 (* 1 = 0.838374 loss)
I0506 05:15:52.222004  7983 solver.cpp:464] Iteration 12400, lr = 0.00997413
I0506 05:17:52.578793  7983 solver.cpp:189] Iteration 12500, loss = 0.886244
I0506 05:17:52.578832  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.658977 (* 0.3 = 0.197693 loss)
I0506 05:17:52.578841  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.596023 (* 0.3 = 0.178807 loss)
I0506 05:17:52.578850  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.525259 (* 1 = 0.525259 loss)
I0506 05:17:52.578861  7983 solver.cpp:464] Iteration 12500, lr = 0.00997392
I0506 05:19:53.128214  7983 solver.cpp:189] Iteration 12600, loss = 0.82632
I0506 05:19:53.128253  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.309832 (* 0.3 = 0.0929495 loss)
I0506 05:19:53.128263  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.342134 (* 0.3 = 0.10264 loss)
I0506 05:19:53.128273  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.270911 (* 1 = 0.270911 loss)
I0506 05:19:53.128283  7983 solver.cpp:464] Iteration 12600, lr = 0.00997372
I0506 05:21:53.665154  7983 solver.cpp:189] Iteration 12700, loss = 0.771658
I0506 05:21:53.665192  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.528187 (* 0.3 = 0.158456 loss)
I0506 05:21:53.665204  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.495928 (* 0.3 = 0.148778 loss)
I0506 05:21:53.665212  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.421704 (* 1 = 0.421704 loss)
I0506 05:21:53.665222  7983 solver.cpp:464] Iteration 12700, lr = 0.00997351
I0506 05:23:54.157361  7983 solver.cpp:189] Iteration 12800, loss = 0.868689
I0506 05:23:54.157400  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.39472 (* 0.3 = 0.118416 loss)
I0506 05:23:54.157410  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.416785 (* 0.3 = 0.125035 loss)
I0506 05:23:54.157419  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.427279 (* 1 = 0.427279 loss)
I0506 05:23:54.157429  7983 solver.cpp:464] Iteration 12800, lr = 0.0099733
I0506 05:25:55.014154  7983 solver.cpp:189] Iteration 12900, loss = 0.8713
I0506 05:25:55.014194  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.644146 (* 0.3 = 0.193244 loss)
I0506 05:25:55.014204  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.557178 (* 0.3 = 0.167153 loss)
I0506 05:25:55.014212  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.593135 (* 1 = 0.593135 loss)
I0506 05:25:55.014222  7983 solver.cpp:464] Iteration 12900, lr = 0.00997309
I0506 05:27:54.465689  7983 solver.cpp:266] Iteration 13000, Testing net (#0)
I0506 05:28:16.697775  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.01161 (* 0.3 = 0.303484 loss)
I0506 05:28:16.697798  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.659722
I0506 05:28:16.697805  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.847222
I0506 05:28:16.697813  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.999883 (* 0.3 = 0.299965 loss)
I0506 05:28:16.697819  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.642593
I0506 05:28:16.697825  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.844444
I0506 05:28:16.697834  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.961701 (* 1 = 0.961701 loss)
I0506 05:28:16.697839  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.646296
I0506 05:28:16.697845  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.852315
I0506 05:28:17.670923  7983 solver.cpp:189] Iteration 13000, loss = 0.844584
I0506 05:28:17.670959  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.508271 (* 0.3 = 0.152481 loss)
I0506 05:28:17.670969  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.499292 (* 0.3 = 0.149788 loss)
I0506 05:28:17.670979  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.514422 (* 1 = 0.514422 loss)
I0506 05:28:17.670989  7983 solver.cpp:464] Iteration 13000, lr = 0.00997288
I0506 05:30:18.437214  7983 solver.cpp:189] Iteration 13100, loss = 0.812623
I0506 05:30:18.437253  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.508341 (* 0.3 = 0.152502 loss)
I0506 05:30:18.437263  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.537803 (* 0.3 = 0.161341 loss)
I0506 05:30:18.437273  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.55396 (* 1 = 0.55396 loss)
I0506 05:30:18.437283  7983 solver.cpp:464] Iteration 13100, lr = 0.00997267
I0506 05:32:19.066184  7983 solver.cpp:189] Iteration 13200, loss = 0.84058
I0506 05:32:19.066222  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.867011 (* 0.3 = 0.260103 loss)
I0506 05:32:19.066232  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.710704 (* 0.3 = 0.213211 loss)
I0506 05:32:19.066241  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.629783 (* 1 = 0.629783 loss)
I0506 05:32:19.066251  7983 solver.cpp:464] Iteration 13200, lr = 0.00997246
I0506 05:34:19.483862  7983 solver.cpp:189] Iteration 13300, loss = 0.773901
I0506 05:34:19.483899  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.66824 (* 0.3 = 0.200472 loss)
I0506 05:34:19.483909  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.590697 (* 0.3 = 0.177209 loss)
I0506 05:34:19.483918  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.516986 (* 1 = 0.516986 loss)
I0506 05:34:19.483928  7983 solver.cpp:464] Iteration 13300, lr = 0.00997225
I0506 05:36:20.016006  7983 solver.cpp:189] Iteration 13400, loss = 0.819199
I0506 05:36:20.016044  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.605778 (* 0.3 = 0.181733 loss)
I0506 05:36:20.016054  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.584182 (* 0.3 = 0.175255 loss)
I0506 05:36:20.016063  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.622948 (* 1 = 0.622948 loss)
I0506 05:36:20.016073  7983 solver.cpp:464] Iteration 13400, lr = 0.00997204
I0506 05:38:20.384641  7983 solver.cpp:189] Iteration 13500, loss = 0.779029
I0506 05:38:20.384680  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.665664 (* 0.3 = 0.199699 loss)
I0506 05:38:20.384690  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.681334 (* 0.3 = 0.2044 loss)
I0506 05:38:20.384699  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.678761 (* 1 = 0.678761 loss)
I0506 05:38:20.384709  7983 solver.cpp:464] Iteration 13500, lr = 0.00997183
I0506 05:40:20.909318  7983 solver.cpp:189] Iteration 13600, loss = 0.829786
I0506 05:40:20.909358  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.499231 (* 0.3 = 0.149769 loss)
I0506 05:40:20.909368  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.413011 (* 0.3 = 0.123903 loss)
I0506 05:40:20.909378  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.463264 (* 1 = 0.463264 loss)
I0506 05:40:20.909386  7983 solver.cpp:464] Iteration 13600, lr = 0.00997163
I0506 05:42:21.594048  7983 solver.cpp:189] Iteration 13700, loss = 0.832088
I0506 05:42:21.594085  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.589493 (* 0.3 = 0.176848 loss)
I0506 05:42:21.594095  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.557029 (* 0.3 = 0.167109 loss)
I0506 05:42:21.594105  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.507038 (* 1 = 0.507038 loss)
I0506 05:42:21.594115  7983 solver.cpp:464] Iteration 13700, lr = 0.00997142
I0506 05:44:22.376871  7983 solver.cpp:189] Iteration 13800, loss = 0.779316
I0506 05:44:22.376910  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.457658 (* 0.3 = 0.137297 loss)
I0506 05:44:22.376920  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.420383 (* 0.3 = 0.126115 loss)
I0506 05:44:22.376929  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.406093 (* 1 = 0.406093 loss)
I0506 05:44:22.376938  7983 solver.cpp:464] Iteration 13800, lr = 0.00997121
I0506 05:46:23.249248  7983 solver.cpp:189] Iteration 13900, loss = 0.790663
I0506 05:46:23.249285  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.406179 (* 0.3 = 0.121854 loss)
I0506 05:46:23.249295  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.35487 (* 0.3 = 0.106461 loss)
I0506 05:46:23.249305  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.400745 (* 1 = 0.400745 loss)
I0506 05:46:23.249315  7983 solver.cpp:464] Iteration 13900, lr = 0.009971
I0506 05:48:23.208753  7983 solver.cpp:266] Iteration 14000, Testing net (#0)
I0506 05:48:45.489634  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.1758 (* 0.3 = 0.352739 loss)
I0506 05:48:45.489656  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.644444
I0506 05:48:45.489663  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.818056
I0506 05:48:45.489672  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.11268 (* 0.3 = 0.333803 loss)
I0506 05:48:45.489678  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.646296
I0506 05:48:45.489684  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.823148
I0506 05:48:45.489692  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.15475 (* 1 = 1.15475 loss)
I0506 05:48:45.489698  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.637037
I0506 05:48:45.489703  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.810648
I0506 05:48:46.463547  7983 solver.cpp:189] Iteration 14000, loss = 0.785443
I0506 05:48:46.463584  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.708123 (* 0.3 = 0.212437 loss)
I0506 05:48:46.463595  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.602261 (* 0.3 = 0.180678 loss)
I0506 05:48:46.463604  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.615052 (* 1 = 0.615052 loss)
I0506 05:48:46.463614  7983 solver.cpp:464] Iteration 14000, lr = 0.00997079
I0506 05:50:46.672482  7983 solver.cpp:189] Iteration 14100, loss = 0.778808
I0506 05:50:46.672519  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.506444 (* 0.3 = 0.151933 loss)
I0506 05:50:46.672529  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.517614 (* 0.3 = 0.155284 loss)
I0506 05:50:46.672538  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.509 (* 1 = 0.509 loss)
I0506 05:50:46.672547  7983 solver.cpp:464] Iteration 14100, lr = 0.00997058
I0506 05:52:47.337697  7983 solver.cpp:189] Iteration 14200, loss = 0.765634
I0506 05:52:47.337733  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.552995 (* 0.3 = 0.165898 loss)
I0506 05:52:47.337743  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.463957 (* 0.3 = 0.139187 loss)
I0506 05:52:47.337752  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.48434 (* 1 = 0.48434 loss)
I0506 05:52:47.337762  7983 solver.cpp:464] Iteration 14200, lr = 0.00997037
I0506 05:54:48.121295  7983 solver.cpp:189] Iteration 14300, loss = 0.753293
I0506 05:54:48.121335  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.462816 (* 0.3 = 0.138845 loss)
I0506 05:54:48.121345  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.513739 (* 0.3 = 0.154122 loss)
I0506 05:54:48.121352  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.446493 (* 1 = 0.446493 loss)
I0506 05:54:48.121362  7983 solver.cpp:464] Iteration 14300, lr = 0.00997016
I0506 05:56:48.961752  7983 solver.cpp:189] Iteration 14400, loss = 0.747432
I0506 05:56:48.961791  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.638131 (* 0.3 = 0.191439 loss)
I0506 05:56:48.961801  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.694965 (* 0.3 = 0.20849 loss)
I0506 05:56:48.961809  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.787303 (* 1 = 0.787303 loss)
I0506 05:56:48.961819  7983 solver.cpp:464] Iteration 14400, lr = 0.00996995
I0506 05:58:49.460343  7983 solver.cpp:189] Iteration 14500, loss = 0.742369
I0506 05:58:49.460381  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.383381 (* 0.3 = 0.115014 loss)
I0506 05:58:49.460391  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.393241 (* 0.3 = 0.117972 loss)
I0506 05:58:49.460400  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.416444 (* 1 = 0.416444 loss)
I0506 05:58:49.460410  7983 solver.cpp:464] Iteration 14500, lr = 0.00996975
I0506 06:00:49.978160  7983 solver.cpp:189] Iteration 14600, loss = 0.789579
I0506 06:00:49.978199  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.622996 (* 0.3 = 0.186899 loss)
I0506 06:00:49.978209  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.513495 (* 0.3 = 0.154049 loss)
I0506 06:00:49.978219  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.529123 (* 1 = 0.529123 loss)
I0506 06:00:49.978229  7983 solver.cpp:464] Iteration 14600, lr = 0.00996954
I0506 06:02:50.497818  7983 solver.cpp:189] Iteration 14700, loss = 0.880811
I0506 06:02:50.497858  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.567331 (* 0.3 = 0.170199 loss)
I0506 06:02:50.497867  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.562923 (* 0.3 = 0.168877 loss)
I0506 06:02:50.497876  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.572923 (* 1 = 0.572923 loss)
I0506 06:02:50.497886  7983 solver.cpp:464] Iteration 14700, lr = 0.00996933
I0506 06:04:50.990944  7983 solver.cpp:189] Iteration 14800, loss = 0.845311
I0506 06:04:50.990983  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.709963 (* 0.3 = 0.212989 loss)
I0506 06:04:50.990993  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.656501 (* 0.3 = 0.19695 loss)
I0506 06:04:50.991001  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.641969 (* 1 = 0.641969 loss)
I0506 06:04:50.991013  7983 solver.cpp:464] Iteration 14800, lr = 0.00996912
I0506 06:06:51.793289  7983 solver.cpp:189] Iteration 14900, loss = 0.743158
I0506 06:06:51.793329  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.315019 (* 0.3 = 0.0945058 loss)
I0506 06:06:51.793339  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.405312 (* 0.3 = 0.121593 loss)
I0506 06:06:51.793347  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.41175 (* 1 = 0.41175 loss)
I0506 06:06:51.793357  7983 solver.cpp:464] Iteration 14900, lr = 0.00996891
I0506 06:08:51.348381  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_15000.caffemodel
I0506 06:08:51.446619  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_15000.solverstate
I0506 06:08:51.513284  7983 solver.cpp:266] Iteration 15000, Testing net (#0)
I0506 06:09:13.689560  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.03381 (* 0.3 = 0.310144 loss)
I0506 06:09:13.689585  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.662037
I0506 06:09:13.689592  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.835648
I0506 06:09:13.689601  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.02763 (* 0.3 = 0.308289 loss)
I0506 06:09:13.689607  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.65463
I0506 06:09:13.689613  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.839352
I0506 06:09:13.689621  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.995163 (* 1 = 0.995163 loss)
I0506 06:09:13.689627  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.663889
I0506 06:09:13.689633  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.844907
I0506 06:09:14.663575  7983 solver.cpp:189] Iteration 15000, loss = 0.832609
I0506 06:09:14.663612  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.351567 (* 0.3 = 0.10547 loss)
I0506 06:09:14.663622  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.419042 (* 0.3 = 0.125712 loss)
I0506 06:09:14.663630  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.502003 (* 1 = 0.502003 loss)
I0506 06:09:14.663640  7983 solver.cpp:464] Iteration 15000, lr = 0.0099687
I0506 06:11:15.359757  7983 solver.cpp:189] Iteration 15100, loss = 0.752622
I0506 06:11:15.359797  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.319501 (* 0.3 = 0.0958503 loss)
I0506 06:11:15.359807  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.337842 (* 0.3 = 0.101353 loss)
I0506 06:11:15.359814  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.282621 (* 1 = 0.282621 loss)
I0506 06:11:15.359824  7983 solver.cpp:464] Iteration 15100, lr = 0.00996849
I0506 06:13:16.238535  7983 solver.cpp:189] Iteration 15200, loss = 0.813067
I0506 06:13:16.238574  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.525509 (* 0.3 = 0.157653 loss)
I0506 06:13:16.238584  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.39519 (* 0.3 = 0.118557 loss)
I0506 06:13:16.238592  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.4216 (* 1 = 0.4216 loss)
I0506 06:13:16.238602  7983 solver.cpp:464] Iteration 15200, lr = 0.00996828
I0506 06:15:17.190577  7983 solver.cpp:189] Iteration 15300, loss = 0.739311
I0506 06:15:17.190614  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.693333 (* 0.3 = 0.208 loss)
I0506 06:15:17.190624  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.648047 (* 0.3 = 0.194414 loss)
I0506 06:15:17.190632  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.677231 (* 1 = 0.677231 loss)
I0506 06:15:17.190644  7983 solver.cpp:464] Iteration 15300, lr = 0.00996807
I0506 06:17:18.015736  7983 solver.cpp:189] Iteration 15400, loss = 0.806185
I0506 06:17:18.015775  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.482649 (* 0.3 = 0.144795 loss)
I0506 06:17:18.015784  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.526245 (* 0.3 = 0.157874 loss)
I0506 06:17:18.015794  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.49344 (* 1 = 0.49344 loss)
I0506 06:17:18.015804  7983 solver.cpp:464] Iteration 15400, lr = 0.00996786
I0506 06:19:18.344537  7983 solver.cpp:189] Iteration 15500, loss = 0.789315
I0506 06:19:18.344576  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.805333 (* 0.3 = 0.2416 loss)
I0506 06:19:18.344586  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.619832 (* 0.3 = 0.18595 loss)
I0506 06:19:18.344594  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.719599 (* 1 = 0.719599 loss)
I0506 06:19:18.344612  7983 solver.cpp:464] Iteration 15500, lr = 0.00996766
I0506 06:21:19.006526  7983 solver.cpp:189] Iteration 15600, loss = 0.725842
I0506 06:21:19.006566  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.317425 (* 0.3 = 0.0952276 loss)
I0506 06:21:19.006575  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.394317 (* 0.3 = 0.118295 loss)
I0506 06:21:19.006583  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.395957 (* 1 = 0.395957 loss)
I0506 06:21:19.006594  7983 solver.cpp:464] Iteration 15600, lr = 0.00996745
I0506 06:23:19.523634  7983 solver.cpp:189] Iteration 15700, loss = 0.846908
I0506 06:23:19.523672  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.413409 (* 0.3 = 0.124023 loss)
I0506 06:23:19.523684  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.468694 (* 0.3 = 0.140608 loss)
I0506 06:23:19.523691  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.452443 (* 1 = 0.452443 loss)
I0506 06:23:19.523701  7983 solver.cpp:464] Iteration 15700, lr = 0.00996724
I0506 06:25:19.930196  7983 solver.cpp:189] Iteration 15800, loss = 0.82526
I0506 06:25:19.930234  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.590516 (* 0.3 = 0.177155 loss)
I0506 06:25:19.930244  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.666264 (* 0.3 = 0.199879 loss)
I0506 06:25:19.930253  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.587798 (* 1 = 0.587798 loss)
I0506 06:25:19.930263  7983 solver.cpp:464] Iteration 15800, lr = 0.00996703
I0506 06:27:20.456703  7983 solver.cpp:189] Iteration 15900, loss = 0.767163
I0506 06:27:20.456743  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.568793 (* 0.3 = 0.170638 loss)
I0506 06:27:20.456753  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.598698 (* 0.3 = 0.17961 loss)
I0506 06:27:20.456761  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.483156 (* 1 = 0.483156 loss)
I0506 06:27:20.456771  7983 solver.cpp:464] Iteration 15900, lr = 0.00996682
I0506 06:29:20.120301  7983 solver.cpp:266] Iteration 16000, Testing net (#0)
I0506 06:29:42.468108  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04453 (* 0.3 = 0.31336 loss)
I0506 06:29:42.468132  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.672685
I0506 06:29:42.468139  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.842593
I0506 06:29:42.468148  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.06248 (* 0.3 = 0.318744 loss)
I0506 06:29:42.468154  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.664352
I0506 06:29:42.468160  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.848148
I0506 06:29:42.468168  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.07546 (* 1 = 1.07546 loss)
I0506 06:29:42.468174  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.659259
I0506 06:29:42.468179  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.841667
I0506 06:29:43.441635  7983 solver.cpp:189] Iteration 16000, loss = 0.75305
I0506 06:29:43.441673  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.749149 (* 0.3 = 0.224745 loss)
I0506 06:29:43.441683  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.856249 (* 0.3 = 0.256875 loss)
I0506 06:29:43.441690  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.702793 (* 1 = 0.702793 loss)
I0506 06:29:43.441701  7983 solver.cpp:464] Iteration 16000, lr = 0.00996661
I0506 06:31:44.269709  7983 solver.cpp:189] Iteration 16100, loss = 0.787989
I0506 06:31:44.269748  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.644949 (* 0.3 = 0.193485 loss)
I0506 06:31:44.269758  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.695499 (* 0.3 = 0.20865 loss)
I0506 06:31:44.269767  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.741201 (* 1 = 0.741201 loss)
I0506 06:31:44.269776  7983 solver.cpp:464] Iteration 16100, lr = 0.0099664
I0506 06:33:44.710867  7983 solver.cpp:189] Iteration 16200, loss = 0.753379
I0506 06:33:44.710906  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.433392 (* 0.3 = 0.130018 loss)
I0506 06:33:44.710916  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.351812 (* 0.3 = 0.105544 loss)
I0506 06:33:44.710924  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.309885 (* 1 = 0.309885 loss)
I0506 06:33:44.710934  7983 solver.cpp:464] Iteration 16200, lr = 0.00996619
I0506 06:35:45.433195  7983 solver.cpp:189] Iteration 16300, loss = 0.751499
I0506 06:35:45.433235  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.495159 (* 0.3 = 0.148548 loss)
I0506 06:35:45.433245  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.46108 (* 0.3 = 0.138324 loss)
I0506 06:35:45.433254  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.487732 (* 1 = 0.487732 loss)
I0506 06:35:45.433264  7983 solver.cpp:464] Iteration 16300, lr = 0.00996598
I0506 06:37:46.148543  7983 solver.cpp:189] Iteration 16400, loss = 0.7245
I0506 06:37:46.148582  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.372919 (* 0.3 = 0.111876 loss)
I0506 06:37:46.148592  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.320309 (* 0.3 = 0.0960927 loss)
I0506 06:37:46.148602  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.327702 (* 1 = 0.327702 loss)
I0506 06:37:46.148620  7983 solver.cpp:464] Iteration 16400, lr = 0.00996577
I0506 06:39:46.918010  7983 solver.cpp:189] Iteration 16500, loss = 0.751265
I0506 06:39:46.918050  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.391559 (* 0.3 = 0.117468 loss)
I0506 06:39:46.918059  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.399207 (* 0.3 = 0.119762 loss)
I0506 06:39:46.918068  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.297404 (* 1 = 0.297404 loss)
I0506 06:39:46.918078  7983 solver.cpp:464] Iteration 16500, lr = 0.00996557
I0506 06:41:47.433490  7983 solver.cpp:189] Iteration 16600, loss = 0.802634
I0506 06:41:47.433527  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.57727 (* 0.3 = 0.173181 loss)
I0506 06:41:47.433537  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.566235 (* 0.3 = 0.16987 loss)
I0506 06:41:47.433547  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.518144 (* 1 = 0.518144 loss)
I0506 06:41:47.433557  7983 solver.cpp:464] Iteration 16600, lr = 0.00996536
I0506 06:43:47.614445  7983 solver.cpp:189] Iteration 16700, loss = 0.688753
I0506 06:43:47.614482  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.247937 (* 0.3 = 0.074381 loss)
I0506 06:43:47.614492  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.250523 (* 0.3 = 0.0751568 loss)
I0506 06:43:47.614502  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.253214 (* 1 = 0.253214 loss)
I0506 06:43:47.614512  7983 solver.cpp:464] Iteration 16700, lr = 0.00996515
I0506 06:45:48.459890  7983 solver.cpp:189] Iteration 16800, loss = 0.751038
I0506 06:45:48.459929  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.490958 (* 0.3 = 0.147287 loss)
I0506 06:45:48.459939  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.406376 (* 0.3 = 0.121913 loss)
I0506 06:45:48.459949  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.414961 (* 1 = 0.414961 loss)
I0506 06:45:48.459959  7983 solver.cpp:464] Iteration 16800, lr = 0.00996494
I0506 06:47:49.032924  7983 solver.cpp:189] Iteration 16900, loss = 0.769144
I0506 06:47:49.032961  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.424373 (* 0.3 = 0.127312 loss)
I0506 06:47:49.032973  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.309762 (* 0.3 = 0.0929286 loss)
I0506 06:47:49.032980  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.292742 (* 1 = 0.292742 loss)
I0506 06:47:49.032990  7983 solver.cpp:464] Iteration 16900, lr = 0.00996473
I0506 06:49:48.539011  7983 solver.cpp:266] Iteration 17000, Testing net (#0)
I0506 06:50:10.645622  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04128 (* 0.3 = 0.312384 loss)
I0506 06:50:10.645645  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.690278
I0506 06:50:10.645653  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.858796
I0506 06:50:10.645661  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.00999 (* 0.3 = 0.302996 loss)
I0506 06:50:10.645668  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.675926
I0506 06:50:10.645673  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.853704
I0506 06:50:10.645681  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.996266 (* 1 = 0.996266 loss)
I0506 06:50:10.645687  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.673611
I0506 06:50:10.645694  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.856944
I0506 06:50:11.622520  7983 solver.cpp:189] Iteration 17000, loss = 0.742946
I0506 06:50:11.622556  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.440259 (* 0.3 = 0.132078 loss)
I0506 06:50:11.622566  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.609401 (* 0.3 = 0.18282 loss)
I0506 06:50:11.622575  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.543827 (* 1 = 0.543827 loss)
I0506 06:50:11.622584  7983 solver.cpp:464] Iteration 17000, lr = 0.00996452
I0506 06:52:11.813575  7983 solver.cpp:189] Iteration 17100, loss = 0.718433
I0506 06:52:11.813614  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.453862 (* 0.3 = 0.136158 loss)
I0506 06:52:11.813624  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.4475 (* 0.3 = 0.13425 loss)
I0506 06:52:11.813633  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.41496 (* 1 = 0.41496 loss)
I0506 06:52:11.813643  7983 solver.cpp:464] Iteration 17100, lr = 0.00996431
I0506 06:54:12.220918  7983 solver.cpp:189] Iteration 17200, loss = 0.744764
I0506 06:54:12.220957  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.709083 (* 0.3 = 0.212725 loss)
I0506 06:54:12.220968  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.57658 (* 0.3 = 0.172974 loss)
I0506 06:54:12.220976  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.558387 (* 1 = 0.558387 loss)
I0506 06:54:12.220985  7983 solver.cpp:464] Iteration 17200, lr = 0.0099641
I0506 06:56:13.168736  7983 solver.cpp:189] Iteration 17300, loss = 0.762199
I0506 06:56:13.168776  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.597302 (* 0.3 = 0.179191 loss)
I0506 06:56:13.168786  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.503685 (* 0.3 = 0.151106 loss)
I0506 06:56:13.168794  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.501367 (* 1 = 0.501367 loss)
I0506 06:56:13.168804  7983 solver.cpp:464] Iteration 17300, lr = 0.00996389
I0506 06:58:13.734100  7983 solver.cpp:189] Iteration 17400, loss = 0.744784
I0506 06:58:13.734138  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.682633 (* 0.3 = 0.20479 loss)
I0506 06:58:13.734148  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.813446 (* 0.3 = 0.244034 loss)
I0506 06:58:13.734158  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.695229 (* 1 = 0.695229 loss)
I0506 06:58:13.734168  7983 solver.cpp:464] Iteration 17400, lr = 0.00996368
I0506 07:00:14.433336  7983 solver.cpp:189] Iteration 17500, loss = 0.75035
I0506 07:00:14.433375  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.405189 (* 0.3 = 0.121557 loss)
I0506 07:00:14.433387  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.397762 (* 0.3 = 0.119329 loss)
I0506 07:00:14.433395  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.497214 (* 1 = 0.497214 loss)
I0506 07:00:14.433405  7983 solver.cpp:464] Iteration 17500, lr = 0.00996347
I0506 07:02:15.128005  7983 solver.cpp:189] Iteration 17600, loss = 0.771594
I0506 07:02:15.128044  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.360731 (* 0.3 = 0.108219 loss)
I0506 07:02:15.128054  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.375682 (* 0.3 = 0.112704 loss)
I0506 07:02:15.128062  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.409042 (* 1 = 0.409042 loss)
I0506 07:02:15.128072  7983 solver.cpp:464] Iteration 17600, lr = 0.00996327
I0506 07:04:15.869186  7983 solver.cpp:189] Iteration 17700, loss = 0.799994
I0506 07:04:15.869225  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.602587 (* 0.3 = 0.180776 loss)
I0506 07:04:15.869235  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.669223 (* 0.3 = 0.200767 loss)
I0506 07:04:15.869245  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.520065 (* 1 = 0.520065 loss)
I0506 07:04:15.869256  7983 solver.cpp:464] Iteration 17700, lr = 0.00996306
I0506 07:06:16.510067  7983 solver.cpp:189] Iteration 17800, loss = 0.627889
I0506 07:06:16.510107  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.320005 (* 0.3 = 0.0960015 loss)
I0506 07:06:16.510118  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.421501 (* 0.3 = 0.12645 loss)
I0506 07:06:16.510125  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.364337 (* 1 = 0.364337 loss)
I0506 07:06:16.510135  7983 solver.cpp:464] Iteration 17800, lr = 0.00996285
I0506 07:08:16.909482  7983 solver.cpp:189] Iteration 17900, loss = 0.787912
I0506 07:08:16.909521  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.46713 (* 0.3 = 0.140139 loss)
I0506 07:08:16.909531  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.546864 (* 0.3 = 0.164059 loss)
I0506 07:08:16.909539  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.539367 (* 1 = 0.539367 loss)
I0506 07:08:16.909549  7983 solver.cpp:464] Iteration 17900, lr = 0.00996264
I0506 07:10:16.642051  7983 solver.cpp:266] Iteration 18000, Testing net (#0)
I0506 07:10:38.807396  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.14278 (* 0.3 = 0.342833 loss)
I0506 07:10:38.807420  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.659259
I0506 07:10:38.807426  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.841667
I0506 07:10:38.807435  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.02805 (* 0.3 = 0.308415 loss)
I0506 07:10:38.807441  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.673148
I0506 07:10:38.807447  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.848611
I0506 07:10:38.807456  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.03296 (* 1 = 1.03296 loss)
I0506 07:10:38.807461  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.666667
I0506 07:10:38.807467  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.848148
I0506 07:10:39.780351  7983 solver.cpp:189] Iteration 18000, loss = 0.702032
I0506 07:10:39.780387  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.634933 (* 0.3 = 0.19048 loss)
I0506 07:10:39.780397  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.456241 (* 0.3 = 0.136872 loss)
I0506 07:10:39.780405  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.446853 (* 1 = 0.446853 loss)
I0506 07:10:39.780416  7983 solver.cpp:464] Iteration 18000, lr = 0.00996243
I0506 07:12:40.077841  7983 solver.cpp:189] Iteration 18100, loss = 0.769381
I0506 07:12:40.077880  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.682495 (* 0.3 = 0.204749 loss)
I0506 07:12:40.077890  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.644083 (* 0.3 = 0.193225 loss)
I0506 07:12:40.077899  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.652649 (* 1 = 0.652649 loss)
I0506 07:12:40.077909  7983 solver.cpp:464] Iteration 18100, lr = 0.00996222
I0506 07:14:40.731448  7983 solver.cpp:189] Iteration 18200, loss = 0.727082
I0506 07:14:40.731488  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.351488 (* 0.3 = 0.105446 loss)
I0506 07:14:40.731498  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.297198 (* 0.3 = 0.0891593 loss)
I0506 07:14:40.731508  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.306423 (* 1 = 0.306423 loss)
I0506 07:14:40.731518  7983 solver.cpp:464] Iteration 18200, lr = 0.00996201
I0506 07:16:41.243083  7983 solver.cpp:189] Iteration 18300, loss = 0.729855
I0506 07:16:41.243124  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.35364 (* 0.3 = 0.106092 loss)
I0506 07:16:41.243134  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.38079 (* 0.3 = 0.114237 loss)
I0506 07:16:41.243142  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.507241 (* 1 = 0.507241 loss)
I0506 07:16:41.243154  7983 solver.cpp:464] Iteration 18300, lr = 0.0099618
I0506 07:18:41.748932  7983 solver.cpp:189] Iteration 18400, loss = 0.705905
I0506 07:18:41.748971  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.463659 (* 0.3 = 0.139098 loss)
I0506 07:18:41.748981  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.441717 (* 0.3 = 0.132515 loss)
I0506 07:18:41.748989  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.549315 (* 1 = 0.549315 loss)
I0506 07:18:41.748999  7983 solver.cpp:464] Iteration 18400, lr = 0.00996159
I0506 07:20:42.224715  7983 solver.cpp:189] Iteration 18500, loss = 0.694263
I0506 07:20:42.224753  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.490307 (* 0.3 = 0.147092 loss)
I0506 07:20:42.224763  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.531264 (* 0.3 = 0.159379 loss)
I0506 07:20:42.224772  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.526655 (* 1 = 0.526655 loss)
I0506 07:20:42.224782  7983 solver.cpp:464] Iteration 18500, lr = 0.00996138
I0506 07:22:42.915324  7983 solver.cpp:189] Iteration 18600, loss = 0.724137
I0506 07:22:42.915364  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.574663 (* 0.3 = 0.172399 loss)
I0506 07:22:42.915374  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.532558 (* 0.3 = 0.159767 loss)
I0506 07:22:42.915382  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.500109 (* 1 = 0.500109 loss)
I0506 07:22:42.915392  7983 solver.cpp:464] Iteration 18600, lr = 0.00996117
I0506 07:24:43.334982  7983 solver.cpp:189] Iteration 18700, loss = 0.75623
I0506 07:24:43.335021  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.516468 (* 0.3 = 0.15494 loss)
I0506 07:24:43.335031  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.515461 (* 0.3 = 0.154638 loss)
I0506 07:24:43.335039  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.456182 (* 1 = 0.456182 loss)
I0506 07:24:43.335049  7983 solver.cpp:464] Iteration 18700, lr = 0.00996097
I0506 07:26:43.878473  7983 solver.cpp:189] Iteration 18800, loss = 0.785557
I0506 07:26:43.878512  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.502563 (* 0.3 = 0.150769 loss)
I0506 07:26:43.878522  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.427219 (* 0.3 = 0.128166 loss)
I0506 07:26:43.878530  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.418387 (* 1 = 0.418387 loss)
I0506 07:26:43.878540  7983 solver.cpp:464] Iteration 18800, lr = 0.00996076
I0506 07:28:44.494020  7983 solver.cpp:189] Iteration 18900, loss = 0.674044
I0506 07:28:44.494058  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.56035 (* 0.3 = 0.168105 loss)
I0506 07:28:44.494068  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.48701 (* 0.3 = 0.146103 loss)
I0506 07:28:44.494076  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.470208 (* 1 = 0.470208 loss)
I0506 07:28:44.494087  7983 solver.cpp:464] Iteration 18900, lr = 0.00996055
I0506 07:30:43.827002  7983 solver.cpp:266] Iteration 19000, Testing net (#0)
I0506 07:31:06.027981  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.11213 (* 0.3 = 0.333639 loss)
I0506 07:31:06.028004  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.648611
I0506 07:31:06.028012  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.836111
I0506 07:31:06.028020  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.09508 (* 0.3 = 0.328525 loss)
I0506 07:31:06.028026  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.619907
I0506 07:31:06.028033  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.823611
I0506 07:31:06.028040  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.07898 (* 1 = 1.07898 loss)
I0506 07:31:06.028046  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.627778
I0506 07:31:06.028053  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.819907
I0506 07:31:07.001313  7983 solver.cpp:189] Iteration 19000, loss = 0.700919
I0506 07:31:07.001350  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.634466 (* 0.3 = 0.19034 loss)
I0506 07:31:07.001360  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.620647 (* 0.3 = 0.186194 loss)
I0506 07:31:07.001369  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.579882 (* 1 = 0.579882 loss)
I0506 07:31:07.001379  7983 solver.cpp:464] Iteration 19000, lr = 0.00996034
I0506 07:33:07.626432  7983 solver.cpp:189] Iteration 19100, loss = 0.697832
I0506 07:33:07.626471  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.308882 (* 0.3 = 0.0926646 loss)
I0506 07:33:07.626482  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.257818 (* 0.3 = 0.0773455 loss)
I0506 07:33:07.626489  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.269546 (* 1 = 0.269546 loss)
I0506 07:33:07.626499  7983 solver.cpp:464] Iteration 19100, lr = 0.00996013
I0506 07:35:08.080566  7983 solver.cpp:189] Iteration 19200, loss = 0.72101
I0506 07:35:08.080613  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.510293 (* 0.3 = 0.153088 loss)
I0506 07:35:08.080626  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.56705 (* 0.3 = 0.170115 loss)
I0506 07:35:08.080634  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.607876 (* 1 = 0.607876 loss)
I0506 07:35:08.080646  7983 solver.cpp:464] Iteration 19200, lr = 0.00995992
I0506 07:37:08.836061  7983 solver.cpp:189] Iteration 19300, loss = 0.714769
I0506 07:37:08.836102  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.626317 (* 0.3 = 0.187895 loss)
I0506 07:37:08.836112  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.518583 (* 0.3 = 0.155575 loss)
I0506 07:37:08.836122  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.456737 (* 1 = 0.456737 loss)
I0506 07:37:08.836130  7983 solver.cpp:464] Iteration 19300, lr = 0.00995971
I0506 07:39:09.305397  7983 solver.cpp:189] Iteration 19400, loss = 0.710523
I0506 07:39:09.305438  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.05756 (* 0.3 = 0.317267 loss)
I0506 07:39:09.305447  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.821049 (* 0.3 = 0.246315 loss)
I0506 07:39:09.305456  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.896143 (* 1 = 0.896143 loss)
I0506 07:39:09.305466  7983 solver.cpp:464] Iteration 19400, lr = 0.0099595
I0506 07:41:09.994210  7983 solver.cpp:189] Iteration 19500, loss = 0.698772
I0506 07:41:09.994251  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.441957 (* 0.3 = 0.132587 loss)
I0506 07:41:09.994261  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.505306 (* 0.3 = 0.151592 loss)
I0506 07:41:09.994268  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.512526 (* 1 = 0.512526 loss)
I0506 07:41:09.994279  7983 solver.cpp:464] Iteration 19500, lr = 0.00995929
I0506 07:43:10.559592  7983 solver.cpp:189] Iteration 19600, loss = 0.617785
I0506 07:43:10.559631  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.371358 (* 0.3 = 0.111407 loss)
I0506 07:43:10.559643  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.443884 (* 0.3 = 0.133165 loss)
I0506 07:43:10.559651  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.415589 (* 1 = 0.415589 loss)
I0506 07:43:10.559661  7983 solver.cpp:464] Iteration 19600, lr = 0.00995908
I0506 07:45:11.485671  7983 solver.cpp:189] Iteration 19700, loss = 0.712901
I0506 07:45:11.485712  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.77824 (* 0.3 = 0.233472 loss)
I0506 07:45:11.485721  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.601375 (* 0.3 = 0.180413 loss)
I0506 07:45:11.485730  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.575555 (* 1 = 0.575555 loss)
I0506 07:45:11.485741  7983 solver.cpp:464] Iteration 19700, lr = 0.00995887
I0506 07:47:12.144520  7983 solver.cpp:189] Iteration 19800, loss = 0.696686
I0506 07:47:12.144559  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.32785 (* 0.3 = 0.0983549 loss)
I0506 07:47:12.144570  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.402259 (* 0.3 = 0.120678 loss)
I0506 07:47:12.144579  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.433347 (* 1 = 0.433347 loss)
I0506 07:47:12.144589  7983 solver.cpp:464] Iteration 19800, lr = 0.00995866
I0506 07:49:12.915062  7983 solver.cpp:189] Iteration 19900, loss = 0.68962
I0506 07:49:12.915102  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.591692 (* 0.3 = 0.177508 loss)
I0506 07:49:12.915112  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.474263 (* 0.3 = 0.142279 loss)
I0506 07:49:12.915120  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.492312 (* 1 = 0.492312 loss)
I0506 07:49:12.915130  7983 solver.cpp:464] Iteration 19900, lr = 0.00995846
I0506 07:51:12.270458  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_20000.caffemodel
I0506 07:51:12.368927  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_20000.solverstate
I0506 07:51:12.435500  7983 solver.cpp:266] Iteration 20000, Testing net (#0)
I0506 07:51:34.610764  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04235 (* 0.3 = 0.312704 loss)
I0506 07:51:34.610790  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.668981
I0506 07:51:34.610797  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.85
I0506 07:51:34.610805  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.09563 (* 0.3 = 0.328688 loss)
I0506 07:51:34.610811  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.674074
I0506 07:51:34.610817  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.849074
I0506 07:51:34.610826  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.12274 (* 1 = 1.12274 loss)
I0506 07:51:34.610831  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.657407
I0506 07:51:34.610837  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.839352
I0506 07:51:35.595202  7983 solver.cpp:189] Iteration 20000, loss = 0.682427
I0506 07:51:35.595238  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.349421 (* 0.3 = 0.104826 loss)
I0506 07:51:35.595249  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.330215 (* 0.3 = 0.0990646 loss)
I0506 07:51:35.595257  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.390813 (* 1 = 0.390813 loss)
I0506 07:51:35.595268  7983 solver.cpp:464] Iteration 20000, lr = 0.00995825
I0506 07:53:36.115942  7983 solver.cpp:189] Iteration 20100, loss = 0.697848
I0506 07:53:36.115983  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.55081 (* 0.3 = 0.165243 loss)
I0506 07:53:36.115993  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.619127 (* 0.3 = 0.185738 loss)
I0506 07:53:36.116001  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.536635 (* 1 = 0.536635 loss)
I0506 07:53:36.116011  7983 solver.cpp:464] Iteration 20100, lr = 0.00995804
I0506 07:55:36.465730  7983 solver.cpp:189] Iteration 20200, loss = 0.669945
I0506 07:55:36.465770  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.327757 (* 0.3 = 0.0983272 loss)
I0506 07:55:36.465780  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.371931 (* 0.3 = 0.111579 loss)
I0506 07:55:36.465788  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.339304 (* 1 = 0.339304 loss)
I0506 07:55:36.465798  7983 solver.cpp:464] Iteration 20200, lr = 0.00995783
I0506 07:57:37.384912  7983 solver.cpp:189] Iteration 20300, loss = 0.690725
I0506 07:57:37.384950  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.341317 (* 0.3 = 0.102395 loss)
I0506 07:57:37.384961  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.21489 (* 0.3 = 0.064467 loss)
I0506 07:57:37.384970  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.265312 (* 1 = 0.265312 loss)
I0506 07:57:37.384981  7983 solver.cpp:464] Iteration 20300, lr = 0.00995762
I0506 07:59:38.075343  7983 solver.cpp:189] Iteration 20400, loss = 0.753879
I0506 07:59:38.075381  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.646026 (* 0.3 = 0.193808 loss)
I0506 07:59:38.075392  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.591117 (* 0.3 = 0.177335 loss)
I0506 07:59:38.075400  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.627652 (* 1 = 0.627652 loss)
I0506 07:59:38.075410  7983 solver.cpp:464] Iteration 20400, lr = 0.00995741
I0506 08:01:38.874205  7983 solver.cpp:189] Iteration 20500, loss = 0.772872
I0506 08:01:38.874244  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.390953 (* 0.3 = 0.117286 loss)
I0506 08:01:38.874254  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.322608 (* 0.3 = 0.0967824 loss)
I0506 08:01:38.874264  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.316358 (* 1 = 0.316358 loss)
I0506 08:01:38.874274  7983 solver.cpp:464] Iteration 20500, lr = 0.0099572
I0506 08:03:39.511162  7983 solver.cpp:189] Iteration 20600, loss = 0.730529
I0506 08:03:39.511201  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.495455 (* 0.3 = 0.148637 loss)
I0506 08:03:39.511212  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.482464 (* 0.3 = 0.144739 loss)
I0506 08:03:39.511220  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.490195 (* 1 = 0.490195 loss)
I0506 08:03:39.511231  7983 solver.cpp:464] Iteration 20600, lr = 0.00995699
I0506 08:05:40.216487  7983 solver.cpp:189] Iteration 20700, loss = 0.609504
I0506 08:05:40.216526  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.372924 (* 0.3 = 0.111877 loss)
I0506 08:05:40.216537  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.343454 (* 0.3 = 0.103036 loss)
I0506 08:05:40.216545  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.382873 (* 1 = 0.382873 loss)
I0506 08:05:40.216557  7983 solver.cpp:464] Iteration 20700, lr = 0.00995678
I0506 08:07:40.791965  7983 solver.cpp:189] Iteration 20800, loss = 0.746668
I0506 08:07:40.792004  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.263133 (* 0.3 = 0.0789398 loss)
I0506 08:07:40.792014  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.249809 (* 0.3 = 0.0749426 loss)
I0506 08:07:40.792023  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.303841 (* 1 = 0.303841 loss)
I0506 08:07:40.792032  7983 solver.cpp:464] Iteration 20800, lr = 0.00995657
I0506 08:09:41.559093  7983 solver.cpp:189] Iteration 20900, loss = 0.688211
I0506 08:09:41.559131  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.362952 (* 0.3 = 0.108886 loss)
I0506 08:09:41.559142  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.23679 (* 0.3 = 0.0710371 loss)
I0506 08:09:41.559150  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.264873 (* 1 = 0.264873 loss)
I0506 08:09:41.559161  7983 solver.cpp:464] Iteration 20900, lr = 0.00995636
I0506 08:11:41.372403  7983 solver.cpp:266] Iteration 21000, Testing net (#0)
I0506 08:12:03.675788  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.01904 (* 0.3 = 0.305713 loss)
I0506 08:12:03.675813  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.6625
I0506 08:12:03.675822  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.854167
I0506 08:12:03.675829  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.00139 (* 0.3 = 0.300417 loss)
I0506 08:12:03.675837  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.660185
I0506 08:12:03.675843  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.849074
I0506 08:12:03.675850  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.987684 (* 1 = 0.987684 loss)
I0506 08:12:03.675856  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.657407
I0506 08:12:03.675861  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.855556
I0506 08:12:04.648949  7983 solver.cpp:189] Iteration 21000, loss = 0.733669
I0506 08:12:04.648986  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.309225 (* 0.3 = 0.0927674 loss)
I0506 08:12:04.648996  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.262303 (* 0.3 = 0.0786909 loss)
I0506 08:12:04.649005  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.239792 (* 1 = 0.239792 loss)
I0506 08:12:04.649015  7983 solver.cpp:464] Iteration 21000, lr = 0.00995615
I0506 08:14:05.048563  7983 solver.cpp:189] Iteration 21100, loss = 0.730553
I0506 08:14:05.048601  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.546534 (* 0.3 = 0.16396 loss)
I0506 08:14:05.048621  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.391113 (* 0.3 = 0.117334 loss)
I0506 08:14:05.048630  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.411532 (* 1 = 0.411532 loss)
I0506 08:14:05.048640  7983 solver.cpp:464] Iteration 21100, lr = 0.00995594
I0506 08:16:05.678745  7983 solver.cpp:189] Iteration 21200, loss = 0.683838
I0506 08:16:05.678782  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.526568 (* 0.3 = 0.15797 loss)
I0506 08:16:05.678793  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.308417 (* 0.3 = 0.0925251 loss)
I0506 08:16:05.678802  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.397343 (* 1 = 0.397343 loss)
I0506 08:16:05.678812  7983 solver.cpp:464] Iteration 21200, lr = 0.00995573
I0506 08:18:06.444136  7983 solver.cpp:189] Iteration 21300, loss = 0.670706
I0506 08:18:06.444175  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.4374 (* 0.3 = 0.13122 loss)
I0506 08:18:06.444185  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.496668 (* 0.3 = 0.149 loss)
I0506 08:18:06.444195  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.52233 (* 1 = 0.52233 loss)
I0506 08:18:06.444205  7983 solver.cpp:464] Iteration 21300, lr = 0.00995553
I0506 08:20:06.820279  7983 solver.cpp:189] Iteration 21400, loss = 0.675466
I0506 08:20:06.820318  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.494044 (* 0.3 = 0.148213 loss)
I0506 08:20:06.820329  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.351052 (* 0.3 = 0.105316 loss)
I0506 08:20:06.820338  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.440618 (* 1 = 0.440618 loss)
I0506 08:20:06.820348  7983 solver.cpp:464] Iteration 21400, lr = 0.00995532
I0506 08:22:07.451124  7983 solver.cpp:189] Iteration 21500, loss = 0.673207
I0506 08:22:07.451161  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.681278 (* 0.3 = 0.204383 loss)
I0506 08:22:07.451171  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.531382 (* 0.3 = 0.159415 loss)
I0506 08:22:07.451180  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.558366 (* 1 = 0.558366 loss)
I0506 08:22:07.451190  7983 solver.cpp:464] Iteration 21500, lr = 0.00995511
I0506 08:24:08.124230  7983 solver.cpp:189] Iteration 21600, loss = 0.74957
I0506 08:24:08.124270  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.703962 (* 0.3 = 0.211189 loss)
I0506 08:24:08.124280  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.649625 (* 0.3 = 0.194887 loss)
I0506 08:24:08.124289  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.679354 (* 1 = 0.679354 loss)
I0506 08:24:08.124299  7983 solver.cpp:464] Iteration 21600, lr = 0.0099549
I0506 08:26:08.405194  7983 solver.cpp:189] Iteration 21700, loss = 0.694113
I0506 08:26:08.405231  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.565491 (* 0.3 = 0.169647 loss)
I0506 08:26:08.405241  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.473925 (* 0.3 = 0.142178 loss)
I0506 08:26:08.405251  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.429978 (* 1 = 0.429978 loss)
I0506 08:26:08.405261  7983 solver.cpp:464] Iteration 21700, lr = 0.00995469
I0506 08:28:09.203797  7983 solver.cpp:189] Iteration 21800, loss = 0.626537
I0506 08:28:09.203836  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.414744 (* 0.3 = 0.124423 loss)
I0506 08:28:09.203846  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.445155 (* 0.3 = 0.133546 loss)
I0506 08:28:09.203855  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.449325 (* 1 = 0.449325 loss)
I0506 08:28:09.203865  7983 solver.cpp:464] Iteration 21800, lr = 0.00995448
I0506 08:30:09.833798  7983 solver.cpp:189] Iteration 21900, loss = 0.639895
I0506 08:30:09.833837  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.69001 (* 0.3 = 0.207003 loss)
I0506 08:30:09.833848  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.518165 (* 0.3 = 0.15545 loss)
I0506 08:30:09.833856  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.438331 (* 1 = 0.438331 loss)
I0506 08:30:09.833866  7983 solver.cpp:464] Iteration 21900, lr = 0.00995427
I0506 08:32:09.064647  7983 solver.cpp:266] Iteration 22000, Testing net (#0)
I0506 08:32:31.182759  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04984 (* 0.3 = 0.314951 loss)
I0506 08:32:31.182783  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.665741
I0506 08:32:31.182790  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.843982
I0506 08:32:31.182799  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 0.995999 (* 0.3 = 0.2988 loss)
I0506 08:32:31.182806  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.672222
I0506 08:32:31.182811  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.845833
I0506 08:32:31.182819  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 0.977643 (* 1 = 0.977643 loss)
I0506 08:32:31.182826  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.668056
I0506 08:32:31.182832  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.855093
I0506 08:32:32.158674  7983 solver.cpp:189] Iteration 22000, loss = 0.718648
I0506 08:32:32.158711  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.290025 (* 0.3 = 0.0870075 loss)
I0506 08:32:32.158721  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.298187 (* 0.3 = 0.0894562 loss)
I0506 08:32:32.158730  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.321303 (* 1 = 0.321303 loss)
I0506 08:32:32.158740  7983 solver.cpp:464] Iteration 22000, lr = 0.00995406
I0506 08:34:32.813101  7983 solver.cpp:189] Iteration 22100, loss = 0.670984
I0506 08:34:32.813139  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.323712 (* 0.3 = 0.0971137 loss)
I0506 08:34:32.813149  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.321511 (* 0.3 = 0.0964534 loss)
I0506 08:34:32.813158  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.319003 (* 1 = 0.319003 loss)
I0506 08:34:32.813169  7983 solver.cpp:464] Iteration 22100, lr = 0.00995385
I0506 08:36:33.157397  7983 solver.cpp:189] Iteration 22200, loss = 0.639151
I0506 08:36:33.157436  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.421319 (* 0.3 = 0.126396 loss)
I0506 08:36:33.157446  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.356113 (* 0.3 = 0.106834 loss)
I0506 08:36:33.157455  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.360703 (* 1 = 0.360703 loss)
I0506 08:36:33.157465  7983 solver.cpp:464] Iteration 22200, lr = 0.00995364
I0506 08:38:33.824832  7983 solver.cpp:189] Iteration 22300, loss = 0.669427
I0506 08:38:33.824872  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.486169 (* 0.3 = 0.145851 loss)
I0506 08:38:33.824882  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.489178 (* 0.3 = 0.146753 loss)
I0506 08:38:33.824890  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.502607 (* 1 = 0.502607 loss)
I0506 08:38:33.824900  7983 solver.cpp:464] Iteration 22300, lr = 0.00995343
I0506 08:40:34.147732  7983 solver.cpp:189] Iteration 22400, loss = 0.672508
I0506 08:40:34.147771  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.374878 (* 0.3 = 0.112463 loss)
I0506 08:40:34.147781  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.397785 (* 0.3 = 0.119336 loss)
I0506 08:40:34.147789  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.390022 (* 1 = 0.390022 loss)
I0506 08:40:34.147800  7983 solver.cpp:464] Iteration 22400, lr = 0.00995322
I0506 08:42:34.863837  7983 solver.cpp:189] Iteration 22500, loss = 0.606429
I0506 08:42:34.863876  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.261406 (* 0.3 = 0.0784217 loss)
I0506 08:42:34.863888  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.20053 (* 0.3 = 0.060159 loss)
I0506 08:42:34.863896  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.226875 (* 1 = 0.226875 loss)
I0506 08:42:34.863906  7983 solver.cpp:464] Iteration 22500, lr = 0.00995301
I0506 08:44:35.440031  7983 solver.cpp:189] Iteration 22600, loss = 0.72722
I0506 08:44:35.440068  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.616915 (* 0.3 = 0.185075 loss)
I0506 08:44:35.440078  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.503419 (* 0.3 = 0.151026 loss)
I0506 08:44:35.440088  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.559064 (* 1 = 0.559064 loss)
I0506 08:44:35.440098  7983 solver.cpp:464] Iteration 22600, lr = 0.00995281
I0506 08:46:36.478133  7983 solver.cpp:189] Iteration 22700, loss = 0.661615
I0506 08:46:36.478171  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.916268 (* 0.3 = 0.27488 loss)
I0506 08:46:36.478183  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.716934 (* 0.3 = 0.21508 loss)
I0506 08:46:36.478190  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.696442 (* 1 = 0.696442 loss)
I0506 08:46:36.478200  7983 solver.cpp:464] Iteration 22700, lr = 0.0099526
I0506 08:48:37.126935  7983 solver.cpp:189] Iteration 22800, loss = 0.684091
I0506 08:48:37.126972  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.221733 (* 0.3 = 0.0665198 loss)
I0506 08:48:37.126982  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.19547 (* 0.3 = 0.0586409 loss)
I0506 08:48:37.126991  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.196049 (* 1 = 0.196049 loss)
I0506 08:48:37.127002  7983 solver.cpp:464] Iteration 22800, lr = 0.00995239
I0506 08:50:37.865620  7983 solver.cpp:189] Iteration 22900, loss = 0.63815
I0506 08:50:37.865658  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.383878 (* 0.3 = 0.115163 loss)
I0506 08:50:37.865669  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.482685 (* 0.3 = 0.144806 loss)
I0506 08:50:37.865676  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.586623 (* 1 = 0.586623 loss)
I0506 08:50:37.865686  7983 solver.cpp:464] Iteration 22900, lr = 0.00995218
I0506 08:52:37.415438  7983 solver.cpp:266] Iteration 23000, Testing net (#0)
I0506 08:52:59.569587  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.20047 (* 0.3 = 0.360141 loss)
I0506 08:52:59.569610  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.672222
I0506 08:52:59.569618  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.842593
I0506 08:52:59.569627  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.13876 (* 0.3 = 0.341629 loss)
I0506 08:52:59.569633  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.668981
I0506 08:52:59.569639  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.845833
I0506 08:52:59.569648  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.14129 (* 1 = 1.14129 loss)
I0506 08:52:59.569653  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.66713
I0506 08:52:59.569659  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.845833
I0506 08:53:00.547704  7983 solver.cpp:189] Iteration 23000, loss = 0.630434
I0506 08:53:00.547740  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.436552 (* 0.3 = 0.130965 loss)
I0506 08:53:00.547751  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.266541 (* 0.3 = 0.0799623 loss)
I0506 08:53:00.547760  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.318052 (* 1 = 0.318052 loss)
I0506 08:53:00.547770  7983 solver.cpp:464] Iteration 23000, lr = 0.00995197
I0506 08:55:01.090394  7983 solver.cpp:189] Iteration 23100, loss = 0.675072
I0506 08:55:01.090431  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.330557 (* 0.3 = 0.0991672 loss)
I0506 08:55:01.090442  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.387886 (* 0.3 = 0.116366 loss)
I0506 08:55:01.090451  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.382493 (* 1 = 0.382493 loss)
I0506 08:55:01.090461  7983 solver.cpp:464] Iteration 23100, lr = 0.00995176
I0506 08:57:01.590230  7983 solver.cpp:189] Iteration 23200, loss = 0.70348
I0506 08:57:01.590268  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.377463 (* 0.3 = 0.113239 loss)
I0506 08:57:01.590278  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.34883 (* 0.3 = 0.104649 loss)
I0506 08:57:01.590287  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.319079 (* 1 = 0.319079 loss)
I0506 08:57:01.590297  7983 solver.cpp:464] Iteration 23200, lr = 0.00995155
I0506 08:59:02.139354  7983 solver.cpp:189] Iteration 23300, loss = 0.713148
I0506 08:59:02.139392  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.38598 (* 0.3 = 0.115794 loss)
I0506 08:59:02.139402  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.361654 (* 0.3 = 0.108496 loss)
I0506 08:59:02.139411  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.374903 (* 1 = 0.374903 loss)
I0506 08:59:02.139421  7983 solver.cpp:464] Iteration 23300, lr = 0.00995134
I0506 09:01:02.769194  7983 solver.cpp:189] Iteration 23400, loss = 0.661842
I0506 09:01:02.769232  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.620825 (* 0.3 = 0.186248 loss)
I0506 09:01:02.769243  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.434545 (* 0.3 = 0.130364 loss)
I0506 09:01:02.769253  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.422133 (* 1 = 0.422133 loss)
I0506 09:01:02.769261  7983 solver.cpp:464] Iteration 23400, lr = 0.00995113
I0506 09:03:03.279947  7983 solver.cpp:189] Iteration 23500, loss = 0.652931
I0506 09:03:03.279986  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.486134 (* 0.3 = 0.14584 loss)
I0506 09:03:03.279997  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.410969 (* 0.3 = 0.123291 loss)
I0506 09:03:03.280005  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.366235 (* 1 = 0.366235 loss)
I0506 09:03:03.280016  7983 solver.cpp:464] Iteration 23500, lr = 0.00995092
I0506 09:05:03.946431  7983 solver.cpp:189] Iteration 23600, loss = 0.640626
I0506 09:05:03.946471  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.618955 (* 0.3 = 0.185686 loss)
I0506 09:05:03.946481  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.617332 (* 0.3 = 0.1852 loss)
I0506 09:05:03.946490  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.649587 (* 1 = 0.649587 loss)
I0506 09:05:03.946501  7983 solver.cpp:464] Iteration 23600, lr = 0.00995071
I0506 09:07:04.607535  7983 solver.cpp:189] Iteration 23700, loss = 0.693883
I0506 09:07:04.607574  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.46348 (* 0.3 = 0.139044 loss)
I0506 09:07:04.607584  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.480956 (* 0.3 = 0.144287 loss)
I0506 09:07:04.607592  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.46369 (* 1 = 0.46369 loss)
I0506 09:07:04.607604  7983 solver.cpp:464] Iteration 23700, lr = 0.0099505
I0506 09:09:05.151211  7983 solver.cpp:189] Iteration 23800, loss = 0.729106
I0506 09:09:05.151248  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.263288 (* 0.3 = 0.0789865 loss)
I0506 09:09:05.151258  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.258615 (* 0.3 = 0.0775845 loss)
I0506 09:09:05.151267  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.22419 (* 1 = 0.22419 loss)
I0506 09:09:05.151276  7983 solver.cpp:464] Iteration 23800, lr = 0.00995029
I0506 09:11:06.366726  7983 solver.cpp:189] Iteration 23900, loss = 0.688906
I0506 09:11:06.366765  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.662457 (* 0.3 = 0.198737 loss)
I0506 09:11:06.366775  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.640084 (* 0.3 = 0.192025 loss)
I0506 09:11:06.366783  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.645483 (* 1 = 0.645483 loss)
I0506 09:11:06.366793  7983 solver.cpp:464] Iteration 23900, lr = 0.00995008
I0506 09:13:06.015095  7983 solver.cpp:266] Iteration 24000, Testing net (#0)
I0506 09:13:28.217291  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.04242 (* 0.3 = 0.312725 loss)
I0506 09:13:28.217314  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.679167
I0506 09:13:28.217321  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.842593
I0506 09:13:28.217329  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.05293 (* 0.3 = 0.315878 loss)
I0506 09:13:28.217336  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.667593
I0506 09:13:28.217342  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.841667
I0506 09:13:28.217350  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.02995 (* 1 = 1.02995 loss)
I0506 09:13:28.217356  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.668519
I0506 09:13:28.217362  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.850926
I0506 09:13:29.190510  7983 solver.cpp:189] Iteration 24000, loss = 0.68193
I0506 09:13:29.190547  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.425469 (* 0.3 = 0.127641 loss)
I0506 09:13:29.190557  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.439826 (* 0.3 = 0.131948 loss)
I0506 09:13:29.190565  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.432862 (* 1 = 0.432862 loss)
I0506 09:13:29.190575  7983 solver.cpp:464] Iteration 24000, lr = 0.00994987
I0506 09:15:29.712034  7983 solver.cpp:189] Iteration 24100, loss = 0.655039
I0506 09:15:29.712074  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.393937 (* 0.3 = 0.118181 loss)
I0506 09:15:29.712083  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.388149 (* 0.3 = 0.116445 loss)
I0506 09:15:29.712091  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.403779 (* 1 = 0.403779 loss)
I0506 09:15:29.712101  7983 solver.cpp:464] Iteration 24100, lr = 0.00994966
I0506 09:17:30.104152  7983 solver.cpp:189] Iteration 24200, loss = 0.615793
I0506 09:17:30.104192  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.273688 (* 0.3 = 0.0821063 loss)
I0506 09:17:30.104202  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.149916 (* 0.3 = 0.0449749 loss)
I0506 09:17:30.104209  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.150417 (* 1 = 0.150417 loss)
I0506 09:17:30.104219  7983 solver.cpp:464] Iteration 24200, lr = 0.00994946
I0506 09:19:30.661144  7983 solver.cpp:189] Iteration 24300, loss = 0.62974
I0506 09:19:30.661183  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.217702 (* 0.3 = 0.0653107 loss)
I0506 09:19:30.661193  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.201504 (* 0.3 = 0.0604512 loss)
I0506 09:19:30.661202  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.233826 (* 1 = 0.233826 loss)
I0506 09:19:30.661212  7983 solver.cpp:464] Iteration 24300, lr = 0.00994925
I0506 09:21:31.075712  7983 solver.cpp:189] Iteration 24400, loss = 0.664161
I0506 09:21:31.075749  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.486906 (* 0.3 = 0.146072 loss)
I0506 09:21:31.075760  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.345545 (* 0.3 = 0.103664 loss)
I0506 09:21:31.075768  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.33626 (* 1 = 0.33626 loss)
I0506 09:21:31.075779  7983 solver.cpp:464] Iteration 24400, lr = 0.00994904
I0506 09:23:31.882313  7983 solver.cpp:189] Iteration 24500, loss = 0.70025
I0506 09:23:31.882350  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.184254 (* 0.3 = 0.0552763 loss)
I0506 09:23:31.882361  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.348206 (* 0.3 = 0.104462 loss)
I0506 09:23:31.882369  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.268945 (* 1 = 0.268945 loss)
I0506 09:23:31.882380  7983 solver.cpp:464] Iteration 24500, lr = 0.00994883
I0506 09:25:32.499500  7983 solver.cpp:189] Iteration 24600, loss = 0.642256
I0506 09:25:32.499538  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.325053 (* 0.3 = 0.0975158 loss)
I0506 09:25:32.499548  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.345769 (* 0.3 = 0.103731 loss)
I0506 09:25:32.499557  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.354675 (* 1 = 0.354675 loss)
I0506 09:25:32.499567  7983 solver.cpp:464] Iteration 24600, lr = 0.00994862
I0506 09:27:32.979919  7983 solver.cpp:189] Iteration 24700, loss = 0.619041
I0506 09:27:32.979959  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.231257 (* 0.3 = 0.0693772 loss)
I0506 09:27:32.979969  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.160995 (* 0.3 = 0.0482986 loss)
I0506 09:27:32.979977  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.216497 (* 1 = 0.216497 loss)
I0506 09:27:32.979987  7983 solver.cpp:464] Iteration 24700, lr = 0.00994841
I0506 09:29:33.517127  7983 solver.cpp:189] Iteration 24800, loss = 0.610614
I0506 09:29:33.517164  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.660039 (* 0.3 = 0.198012 loss)
I0506 09:29:33.517174  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.642967 (* 0.3 = 0.19289 loss)
I0506 09:29:33.517184  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.535896 (* 1 = 0.535896 loss)
I0506 09:29:33.517192  7983 solver.cpp:464] Iteration 24800, lr = 0.0099482
I0506 09:31:34.128116  7983 solver.cpp:189] Iteration 24900, loss = 0.624495
I0506 09:31:34.128154  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.388795 (* 0.3 = 0.116638 loss)
I0506 09:31:34.128165  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.518675 (* 0.3 = 0.155602 loss)
I0506 09:31:34.128175  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.684693 (* 1 = 0.684693 loss)
I0506 09:31:34.128185  7983 solver.cpp:464] Iteration 24900, lr = 0.00994799
I0506 09:33:33.718389  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_25000.caffemodel
I0506 09:33:33.816547  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_25000.solverstate
I0506 09:33:33.883117  7983 solver.cpp:266] Iteration 25000, Testing net (#0)
I0506 09:33:55.980120  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.01126 (* 0.3 = 0.303377 loss)
I0506 09:33:55.980144  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.690278
I0506 09:33:55.980151  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.862037
I0506 09:33:55.980160  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.01604 (* 0.3 = 0.304813 loss)
I0506 09:33:55.980166  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.669444
I0506 09:33:55.980172  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.849537
I0506 09:33:55.980180  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.00357 (* 1 = 1.00357 loss)
I0506 09:33:55.980186  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.67037
I0506 09:33:55.980191  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.842593
I0506 09:33:56.958822  7983 solver.cpp:189] Iteration 25000, loss = 0.651401
I0506 09:33:56.958860  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.229928 (* 0.3 = 0.0689783 loss)
I0506 09:33:56.958870  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.318395 (* 0.3 = 0.0955186 loss)
I0506 09:33:56.958879  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.398882 (* 1 = 0.398882 loss)
I0506 09:33:56.958889  7983 solver.cpp:464] Iteration 25000, lr = 0.00994778
I0506 09:35:57.698976  7983 solver.cpp:189] Iteration 25100, loss = 0.632681
I0506 09:35:57.699013  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.468405 (* 0.3 = 0.140522 loss)
I0506 09:35:57.699023  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.432862 (* 0.3 = 0.129859 loss)
I0506 09:35:57.699033  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.383631 (* 1 = 0.383631 loss)
I0506 09:35:57.699043  7983 solver.cpp:464] Iteration 25100, lr = 0.00994757
I0506 09:37:58.427517  7983 solver.cpp:189] Iteration 25200, loss = 0.589961
I0506 09:37:58.427556  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.500404 (* 0.3 = 0.150121 loss)
I0506 09:37:58.427567  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.469382 (* 0.3 = 0.140815 loss)
I0506 09:37:58.427575  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.526456 (* 1 = 0.526456 loss)
I0506 09:37:58.427585  7983 solver.cpp:464] Iteration 25200, lr = 0.00994736
I0506 09:39:59.265930  7983 solver.cpp:189] Iteration 25300, loss = 0.688376
I0506 09:39:59.265969  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 1.01177 (* 0.3 = 0.303531 loss)
I0506 09:39:59.265980  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.815635 (* 0.3 = 0.24469 loss)
I0506 09:39:59.265987  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.712108 (* 1 = 0.712108 loss)
I0506 09:39:59.265998  7983 solver.cpp:464] Iteration 25300, lr = 0.00994715
I0506 09:41:59.806805  7983 solver.cpp:189] Iteration 25400, loss = 0.598362
I0506 09:41:59.806843  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.355307 (* 0.3 = 0.106592 loss)
I0506 09:41:59.806854  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.250032 (* 0.3 = 0.0750095 loss)
I0506 09:41:59.806861  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.204945 (* 1 = 0.204945 loss)
I0506 09:41:59.806871  7983 solver.cpp:464] Iteration 25400, lr = 0.00994694
I0506 09:44:00.472393  7983 solver.cpp:189] Iteration 25500, loss = 0.645991
I0506 09:44:00.472429  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.287231 (* 0.3 = 0.0861694 loss)
I0506 09:44:00.472440  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.353427 (* 0.3 = 0.106028 loss)
I0506 09:44:00.472448  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.34725 (* 1 = 0.34725 loss)
I0506 09:44:00.472458  7983 solver.cpp:464] Iteration 25500, lr = 0.00994673
I0506 09:46:01.067996  7983 solver.cpp:189] Iteration 25600, loss = 0.611712
I0506 09:46:01.068053  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.267866 (* 0.3 = 0.0803599 loss)
I0506 09:46:01.068064  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.27734 (* 0.3 = 0.0832019 loss)
I0506 09:46:01.068074  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.29094 (* 1 = 0.29094 loss)
I0506 09:46:01.068086  7983 solver.cpp:464] Iteration 25600, lr = 0.00994652
I0506 09:48:02.496827  7983 solver.cpp:189] Iteration 25700, loss = 0.63452
I0506 09:48:02.496872  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.160393 (* 0.3 = 0.048118 loss)
I0506 09:48:02.496883  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.238933 (* 0.3 = 0.0716798 loss)
I0506 09:48:02.496892  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.256286 (* 1 = 0.256286 loss)
I0506 09:48:02.496904  7983 solver.cpp:464] Iteration 25700, lr = 0.00994631
I0506 09:50:05.195154  7983 solver.cpp:189] Iteration 25800, loss = 0.603707
I0506 09:50:05.195202  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.234777 (* 0.3 = 0.070433 loss)
I0506 09:50:05.195214  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.433152 (* 0.3 = 0.129946 loss)
I0506 09:50:05.195222  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.437078 (* 1 = 0.437078 loss)
I0506 09:50:05.195232  7983 solver.cpp:464] Iteration 25800, lr = 0.0099461
I0506 09:52:07.549546  7983 solver.cpp:189] Iteration 25900, loss = 0.673498
I0506 09:52:07.549592  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.439012 (* 0.3 = 0.131704 loss)
I0506 09:52:07.549603  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.334808 (* 0.3 = 0.100443 loss)
I0506 09:52:07.549612  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.307884 (* 1 = 0.307884 loss)
I0506 09:52:07.549623  7983 solver.cpp:464] Iteration 25900, lr = 0.0099459
I0506 09:54:08.541023  7983 solver.cpp:266] Iteration 26000, Testing net (#0)
I0506 09:54:30.904870  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.13458 (* 0.3 = 0.340374 loss)
I0506 09:54:30.904901  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.667593
I0506 09:54:30.904908  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.833796
I0506 09:54:30.904917  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.13517 (* 0.3 = 0.34055 loss)
I0506 09:54:30.904923  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.656944
I0506 09:54:30.904928  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.82037
I0506 09:54:30.904937  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.13385 (* 1 = 1.13385 loss)
I0506 09:54:30.904942  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.652778
I0506 09:54:30.904978  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.826852
I0506 09:54:31.877342  7983 solver.cpp:189] Iteration 26000, loss = 0.676735
I0506 09:54:31.877387  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.494841 (* 0.3 = 0.148452 loss)
I0506 09:54:31.877398  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.481138 (* 0.3 = 0.144341 loss)
I0506 09:54:31.877406  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.465853 (* 1 = 0.465853 loss)
I0506 09:54:31.877416  7983 solver.cpp:464] Iteration 26000, lr = 0.00994569
I0506 09:56:32.385066  7983 solver.cpp:189] Iteration 26100, loss = 0.662837
I0506 09:56:32.385115  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.219439 (* 0.3 = 0.0658318 loss)
I0506 09:56:32.385126  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.143111 (* 0.3 = 0.0429332 loss)
I0506 09:56:32.385136  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.140253 (* 1 = 0.140253 loss)
I0506 09:56:32.385146  7983 solver.cpp:464] Iteration 26100, lr = 0.00994548
I0506 09:58:33.175041  7983 solver.cpp:189] Iteration 26200, loss = 0.678286
I0506 09:58:33.175091  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.301486 (* 0.3 = 0.0904457 loss)
I0506 09:58:33.175102  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.222868 (* 0.3 = 0.0668605 loss)
I0506 09:58:33.175112  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.282108 (* 1 = 0.282108 loss)
I0506 09:58:33.175122  7983 solver.cpp:464] Iteration 26200, lr = 0.00994527
I0506 10:00:33.984468  7983 solver.cpp:189] Iteration 26300, loss = 0.645534
I0506 10:00:33.984520  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.636719 (* 0.3 = 0.191016 loss)
I0506 10:00:33.984531  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.557639 (* 0.3 = 0.167292 loss)
I0506 10:00:33.984540  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.571955 (* 1 = 0.571955 loss)
I0506 10:00:33.984551  7983 solver.cpp:464] Iteration 26300, lr = 0.00994506
I0506 10:02:34.733736  7983 solver.cpp:189] Iteration 26400, loss = 0.651414
I0506 10:02:34.733775  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.74438 (* 0.3 = 0.223314 loss)
I0506 10:02:34.733785  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.69767 (* 0.3 = 0.209301 loss)
I0506 10:02:34.733793  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.862908 (* 1 = 0.862908 loss)
I0506 10:02:34.733803  7983 solver.cpp:464] Iteration 26400, lr = 0.00994485
I0506 10:04:35.483006  7983 solver.cpp:189] Iteration 26500, loss = 0.613731
I0506 10:04:35.483045  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.379081 (* 0.3 = 0.113724 loss)
I0506 10:04:35.483055  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.305577 (* 0.3 = 0.091673 loss)
I0506 10:04:35.483063  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.326493 (* 1 = 0.326493 loss)
I0506 10:04:35.483073  7983 solver.cpp:464] Iteration 26500, lr = 0.00994464
I0506 10:06:36.267217  7983 solver.cpp:189] Iteration 26600, loss = 0.634297
I0506 10:06:36.267256  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.755223 (* 0.3 = 0.226567 loss)
I0506 10:06:36.267266  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.884288 (* 0.3 = 0.265286 loss)
I0506 10:06:36.267274  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.839123 (* 1 = 0.839123 loss)
I0506 10:06:36.267284  7983 solver.cpp:464] Iteration 26600, lr = 0.00994443
I0506 10:08:36.896395  7983 solver.cpp:189] Iteration 26700, loss = 0.731859
I0506 10:08:36.896435  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.446304 (* 0.3 = 0.133891 loss)
I0506 10:08:36.896445  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.386536 (* 0.3 = 0.115961 loss)
I0506 10:08:36.896453  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.406275 (* 1 = 0.406275 loss)
I0506 10:08:36.896464  7983 solver.cpp:464] Iteration 26700, lr = 0.00994422
I0506 10:10:37.067914  7983 solver.cpp:189] Iteration 26800, loss = 0.634374
I0506 10:10:37.067951  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.541748 (* 0.3 = 0.162525 loss)
I0506 10:10:37.067961  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.435067 (* 0.3 = 0.13052 loss)
I0506 10:10:37.067970  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.386009 (* 1 = 0.386009 loss)
I0506 10:10:37.067980  7983 solver.cpp:464] Iteration 26800, lr = 0.00994401
I0506 10:12:37.370164  7983 solver.cpp:189] Iteration 26900, loss = 0.630706
I0506 10:12:37.370201  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.46251 (* 0.3 = 0.138753 loss)
I0506 10:12:37.370211  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.45227 (* 0.3 = 0.135681 loss)
I0506 10:12:37.370220  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.482854 (* 1 = 0.482854 loss)
I0506 10:12:37.370230  7983 solver.cpp:464] Iteration 26900, lr = 0.0099438
I0506 10:14:36.950055  7983 solver.cpp:266] Iteration 27000, Testing net (#0)
I0506 10:14:59.101552  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.1377 (* 0.3 = 0.341309 loss)
I0506 10:14:59.101577  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.675463
I0506 10:14:59.101583  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.844444
I0506 10:14:59.101591  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.02861 (* 0.3 = 0.308582 loss)
I0506 10:14:59.101598  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.676389
I0506 10:14:59.101604  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.855093
I0506 10:14:59.101613  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.02634 (* 1 = 1.02634 loss)
I0506 10:14:59.101619  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.674537
I0506 10:14:59.101624  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.853704
I0506 10:15:00.072394  7983 solver.cpp:189] Iteration 27000, loss = 0.647126
I0506 10:15:00.072432  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.259737 (* 0.3 = 0.0779211 loss)
I0506 10:15:00.072443  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.332621 (* 0.3 = 0.0997862 loss)
I0506 10:15:00.072451  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.257225 (* 1 = 0.257225 loss)
I0506 10:15:00.072461  7983 solver.cpp:464] Iteration 27000, lr = 0.00994359
I0506 10:17:00.740646  7983 solver.cpp:189] Iteration 27100, loss = 0.628919
I0506 10:17:00.740684  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.402119 (* 0.3 = 0.120636 loss)
I0506 10:17:00.740694  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.358801 (* 0.3 = 0.10764 loss)
I0506 10:17:00.740702  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.36686 (* 1 = 0.36686 loss)
I0506 10:17:00.740712  7983 solver.cpp:464] Iteration 27100, lr = 0.00994338
I0506 10:19:01.378116  7983 solver.cpp:189] Iteration 27200, loss = 0.668539
I0506 10:19:01.378154  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.467378 (* 0.3 = 0.140213 loss)
I0506 10:19:01.378165  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.314755 (* 0.3 = 0.0944266 loss)
I0506 10:19:01.378172  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.319941 (* 1 = 0.319941 loss)
I0506 10:19:01.378183  7983 solver.cpp:464] Iteration 27200, lr = 0.00994317
I0506 10:21:02.444278  7983 solver.cpp:189] Iteration 27300, loss = 0.585072
I0506 10:21:02.444329  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.470945 (* 0.3 = 0.141284 loss)
I0506 10:21:02.444340  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.403167 (* 0.3 = 0.12095 loss)
I0506 10:21:02.444350  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.51608 (* 1 = 0.51608 loss)
I0506 10:21:02.444361  7983 solver.cpp:464] Iteration 27300, lr = 0.00994296
I0506 10:23:02.918989  7983 solver.cpp:189] Iteration 27400, loss = 0.678222
I0506 10:23:02.919041  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.415591 (* 0.3 = 0.124677 loss)
I0506 10:23:02.919054  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.337346 (* 0.3 = 0.101204 loss)
I0506 10:23:02.919061  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.303329 (* 1 = 0.303329 loss)
I0506 10:23:02.919072  7983 solver.cpp:464] Iteration 27400, lr = 0.00994275
I0506 10:25:03.797433  7983 solver.cpp:189] Iteration 27500, loss = 0.692913
I0506 10:25:03.797483  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.781868 (* 0.3 = 0.23456 loss)
I0506 10:25:03.797494  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.521988 (* 0.3 = 0.156597 loss)
I0506 10:25:03.797503  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.63197 (* 1 = 0.63197 loss)
I0506 10:25:03.797513  7983 solver.cpp:464] Iteration 27500, lr = 0.00994254
I0506 10:27:04.518569  7983 solver.cpp:189] Iteration 27600, loss = 0.590191
I0506 10:27:04.518618  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.425517 (* 0.3 = 0.127655 loss)
I0506 10:27:04.518630  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.275345 (* 0.3 = 0.0826036 loss)
I0506 10:27:04.518640  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.17039 (* 1 = 0.17039 loss)
I0506 10:27:04.518651  7983 solver.cpp:464] Iteration 27600, lr = 0.00994233
I0506 10:29:05.173789  7983 solver.cpp:189] Iteration 27700, loss = 0.609182
I0506 10:29:05.173835  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.262003 (* 0.3 = 0.0786009 loss)
I0506 10:29:05.173846  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.214262 (* 0.3 = 0.0642787 loss)
I0506 10:29:05.173854  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.19443 (* 1 = 0.19443 loss)
I0506 10:29:05.173864  7983 solver.cpp:464] Iteration 27700, lr = 0.00994212
I0506 10:31:06.065166  7983 solver.cpp:189] Iteration 27800, loss = 0.572731
I0506 10:31:06.065217  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.623763 (* 0.3 = 0.187129 loss)
I0506 10:31:06.065227  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.597577 (* 0.3 = 0.179273 loss)
I0506 10:31:06.065237  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.533949 (* 1 = 0.533949 loss)
I0506 10:31:06.065248  7983 solver.cpp:464] Iteration 27800, lr = 0.00994191
I0506 10:33:06.723546  7983 solver.cpp:189] Iteration 27900, loss = 0.614035
I0506 10:33:06.723595  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.425759 (* 0.3 = 0.127728 loss)
I0506 10:33:06.723606  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.389385 (* 0.3 = 0.116815 loss)
I0506 10:33:06.723615  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.339771 (* 1 = 0.339771 loss)
I0506 10:33:06.723626  7983 solver.cpp:464] Iteration 27900, lr = 0.0099417
I0506 10:35:06.601769  7983 solver.cpp:266] Iteration 28000, Testing net (#0)
I0506 10:35:28.852754  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.11878 (* 0.3 = 0.335634 loss)
I0506 10:35:28.852785  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.659259
I0506 10:35:28.852792  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.838889
I0506 10:35:28.852802  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.0654 (* 0.3 = 0.31962 loss)
I0506 10:35:28.852807  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.671296
I0506 10:35:28.852813  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.846759
I0506 10:35:28.852821  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.08663 (* 1 = 1.08663 loss)
I0506 10:35:28.852828  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.662037
I0506 10:35:28.852833  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.851389
I0506 10:35:29.826597  7983 solver.cpp:189] Iteration 28000, loss = 0.586742
I0506 10:35:29.826645  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.41178 (* 0.3 = 0.123534 loss)
I0506 10:35:29.826658  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.315373 (* 0.3 = 0.094612 loss)
I0506 10:35:29.826666  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.292879 (* 1 = 0.292879 loss)
I0506 10:35:29.826678  7983 solver.cpp:464] Iteration 28000, lr = 0.0099415
I0506 10:37:30.830946  7983 solver.cpp:189] Iteration 28100, loss = 0.568002
I0506 10:37:30.830993  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.507883 (* 0.3 = 0.152365 loss)
I0506 10:37:30.831004  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.476652 (* 0.3 = 0.142996 loss)
I0506 10:37:30.831013  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.473021 (* 1 = 0.473021 loss)
I0506 10:37:30.831024  7983 solver.cpp:464] Iteration 28100, lr = 0.00994129
I0506 10:39:31.743659  7983 solver.cpp:189] Iteration 28200, loss = 0.610435
I0506 10:39:31.743706  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.220642 (* 0.3 = 0.0661926 loss)
I0506 10:39:31.743718  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.310281 (* 0.3 = 0.0930842 loss)
I0506 10:39:31.743727  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.297254 (* 1 = 0.297254 loss)
I0506 10:39:31.743738  7983 solver.cpp:464] Iteration 28200, lr = 0.00994108
I0506 10:41:33.093508  7983 solver.cpp:189] Iteration 28300, loss = 0.554317
I0506 10:41:33.093554  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.312124 (* 0.3 = 0.0936373 loss)
I0506 10:41:33.093564  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.202786 (* 0.3 = 0.0608359 loss)
I0506 10:41:33.093574  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.196249 (* 1 = 0.196249 loss)
I0506 10:41:33.093583  7983 solver.cpp:464] Iteration 28300, lr = 0.00994087
I0506 10:43:34.246430  7983 solver.cpp:189] Iteration 28400, loss = 0.609165
I0506 10:43:34.246474  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.297022 (* 0.3 = 0.0891067 loss)
I0506 10:43:34.246485  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.250195 (* 0.3 = 0.0750586 loss)
I0506 10:43:34.246495  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.255118 (* 1 = 0.255118 loss)
I0506 10:43:34.246505  7983 solver.cpp:464] Iteration 28400, lr = 0.00994066
I0506 10:45:34.972797  7983 solver.cpp:189] Iteration 28500, loss = 0.583051
I0506 10:45:34.972843  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.401324 (* 0.3 = 0.120397 loss)
I0506 10:45:34.972853  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.379802 (* 0.3 = 0.113941 loss)
I0506 10:45:34.972862  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.427646 (* 1 = 0.427646 loss)
I0506 10:45:34.972873  7983 solver.cpp:464] Iteration 28500, lr = 0.00994045
I0506 10:47:35.779027  7983 solver.cpp:189] Iteration 28600, loss = 0.639678
I0506 10:47:35.779075  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.293307 (* 0.3 = 0.087992 loss)
I0506 10:47:35.779086  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.24318 (* 0.3 = 0.072954 loss)
I0506 10:47:35.779095  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.269133 (* 1 = 0.269133 loss)
I0506 10:47:35.779106  7983 solver.cpp:464] Iteration 28600, lr = 0.00994024
I0506 10:49:36.471801  7983 solver.cpp:189] Iteration 28700, loss = 0.588279
I0506 10:49:36.471853  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.344124 (* 0.3 = 0.103237 loss)
I0506 10:49:36.471863  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.335324 (* 0.3 = 0.100597 loss)
I0506 10:49:36.471873  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.2761 (* 1 = 0.2761 loss)
I0506 10:49:36.471884  7983 solver.cpp:464] Iteration 28700, lr = 0.00994003
I0506 10:51:36.814792  7983 solver.cpp:189] Iteration 28800, loss = 0.678487
I0506 10:51:36.814841  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.43376 (* 0.3 = 0.130128 loss)
I0506 10:51:36.814852  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.436953 (* 0.3 = 0.131086 loss)
I0506 10:51:36.814862  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.451629 (* 1 = 0.451629 loss)
I0506 10:51:36.814872  7983 solver.cpp:464] Iteration 28800, lr = 0.00993982
I0506 10:53:37.293226  7983 solver.cpp:189] Iteration 28900, loss = 0.59984
I0506 10:53:37.293277  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.378401 (* 0.3 = 0.11352 loss)
I0506 10:53:37.293288  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.319475 (* 0.3 = 0.0958425 loss)
I0506 10:53:37.293298  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.357155 (* 1 = 0.357155 loss)
I0506 10:53:37.293308  7983 solver.cpp:464] Iteration 28900, lr = 0.00993961
I0506 10:55:37.029058  7983 solver.cpp:266] Iteration 29000, Testing net (#0)
I0506 10:55:59.363561  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.10304 (* 0.3 = 0.330912 loss)
I0506 10:55:59.363592  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.668981
I0506 10:55:59.363600  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.836574
I0506 10:55:59.363608  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.07084 (* 0.3 = 0.321252 loss)
I0506 10:55:59.363615  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.671296
I0506 10:55:59.363620  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.847222
I0506 10:55:59.363628  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.06889 (* 1 = 1.06889 loss)
I0506 10:55:59.363634  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.677315
I0506 10:55:59.363641  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.843982
I0506 10:56:00.338912  7983 solver.cpp:189] Iteration 29000, loss = 0.675251
I0506 10:56:00.338964  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.370649 (* 0.3 = 0.111195 loss)
I0506 10:56:00.338975  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.331505 (* 0.3 = 0.0994514 loss)
I0506 10:56:00.338984  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.310425 (* 1 = 0.310425 loss)
I0506 10:56:00.338995  7983 solver.cpp:464] Iteration 29000, lr = 0.0099394
I0506 10:58:01.409307  7983 solver.cpp:189] Iteration 29100, loss = 0.580754
I0506 10:58:01.409356  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.322755 (* 0.3 = 0.0968264 loss)
I0506 10:58:01.409368  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.297 (* 0.3 = 0.0891 loss)
I0506 10:58:01.409376  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.339353 (* 1 = 0.339353 loss)
I0506 10:58:01.409386  7983 solver.cpp:464] Iteration 29100, lr = 0.00993919
I0506 11:00:02.121580  7983 solver.cpp:189] Iteration 29200, loss = 0.613873
I0506 11:00:02.121625  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.703202 (* 0.3 = 0.210961 loss)
I0506 11:00:02.121636  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.571555 (* 0.3 = 0.171467 loss)
I0506 11:00:02.121645  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.524496 (* 1 = 0.524496 loss)
I0506 11:00:02.121656  7983 solver.cpp:464] Iteration 29200, lr = 0.00993898
I0506 11:02:02.801249  7983 solver.cpp:189] Iteration 29300, loss = 0.524242
I0506 11:02:02.801290  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.646697 (* 0.3 = 0.194009 loss)
I0506 11:02:02.801300  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.573749 (* 0.3 = 0.172125 loss)
I0506 11:02:02.801308  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.544448 (* 1 = 0.544448 loss)
I0506 11:02:02.801317  7983 solver.cpp:464] Iteration 29300, lr = 0.00993877
I0506 11:04:03.528158  7983 solver.cpp:189] Iteration 29400, loss = 0.602687
I0506 11:04:03.528199  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.458556 (* 0.3 = 0.137567 loss)
I0506 11:04:03.528209  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.346452 (* 0.3 = 0.103936 loss)
I0506 11:04:03.528218  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.404243 (* 1 = 0.404243 loss)
I0506 11:04:03.528228  7983 solver.cpp:464] Iteration 29400, lr = 0.00993856
I0506 11:06:04.118451  7983 solver.cpp:189] Iteration 29500, loss = 0.6024
I0506 11:06:04.118490  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.536741 (* 0.3 = 0.161022 loss)
I0506 11:06:04.118500  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.446716 (* 0.3 = 0.134015 loss)
I0506 11:06:04.118510  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.441283 (* 1 = 0.441283 loss)
I0506 11:06:04.118520  7983 solver.cpp:464] Iteration 29500, lr = 0.00993835
I0506 11:08:04.759127  7983 solver.cpp:189] Iteration 29600, loss = 0.668701
I0506 11:08:04.759166  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.686288 (* 0.3 = 0.205887 loss)
I0506 11:08:04.759176  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.529676 (* 0.3 = 0.158903 loss)
I0506 11:08:04.759186  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.444405 (* 1 = 0.444405 loss)
I0506 11:08:04.759196  7983 solver.cpp:464] Iteration 29600, lr = 0.00993814
I0506 11:10:05.628917  7983 solver.cpp:189] Iteration 29700, loss = 0.631964
I0506 11:10:05.628957  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.654029 (* 0.3 = 0.196209 loss)
I0506 11:10:05.628968  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.527971 (* 0.3 = 0.158391 loss)
I0506 11:10:05.628976  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.547056 (* 1 = 0.547056 loss)
I0506 11:10:05.628986  7983 solver.cpp:464] Iteration 29700, lr = 0.00993793
I0506 11:12:06.158431  7983 solver.cpp:189] Iteration 29800, loss = 0.637626
I0506 11:12:06.158470  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.382686 (* 0.3 = 0.114806 loss)
I0506 11:12:06.158481  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.543111 (* 0.3 = 0.162933 loss)
I0506 11:12:06.158489  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.507783 (* 1 = 0.507783 loss)
I0506 11:12:06.158499  7983 solver.cpp:464] Iteration 29800, lr = 0.00993772
I0506 11:14:06.688910  7983 solver.cpp:189] Iteration 29900, loss = 0.568763
I0506 11:14:06.688949  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.416979 (* 0.3 = 0.125094 loss)
I0506 11:14:06.688961  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.565616 (* 0.3 = 0.169685 loss)
I0506 11:14:06.688969  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.420861 (* 1 = 0.420861 loss)
I0506 11:14:06.688979  7983 solver.cpp:464] Iteration 29900, lr = 0.00993751
I0506 11:16:06.307221  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_30000.caffemodel
I0506 11:16:06.406083  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_30000.solverstate
I0506 11:16:06.473016  7983 solver.cpp:266] Iteration 30000, Testing net (#0)
I0506 11:16:28.509979  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.36849 (* 0.3 = 0.410547 loss)
I0506 11:16:28.510004  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.644444
I0506 11:16:28.510012  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.814352
I0506 11:16:28.510021  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.20724 (* 0.3 = 0.362173 loss)
I0506 11:16:28.510027  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.658333
I0506 11:16:28.510033  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.835185
I0506 11:16:28.510041  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.23498 (* 1 = 1.23498 loss)
I0506 11:16:28.510047  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.65463
I0506 11:16:28.510053  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.837037
I0506 11:16:29.492452  7983 solver.cpp:189] Iteration 30000, loss = 0.531794
I0506 11:16:29.492492  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.362837 (* 0.3 = 0.108851 loss)
I0506 11:16:29.492502  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.225724 (* 0.3 = 0.0677172 loss)
I0506 11:16:29.492511  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.182338 (* 1 = 0.182338 loss)
I0506 11:16:29.492522  7983 solver.cpp:464] Iteration 30000, lr = 0.0099373
I0506 11:18:30.570596  7983 solver.cpp:189] Iteration 30100, loss = 0.642577
I0506 11:18:30.570636  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.45457 (* 0.3 = 0.136371 loss)
I0506 11:18:30.570647  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.532937 (* 0.3 = 0.159881 loss)
I0506 11:18:30.570655  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.525016 (* 1 = 0.525016 loss)
I0506 11:18:30.570665  7983 solver.cpp:464] Iteration 30100, lr = 0.00993709
I0506 11:20:30.683729  7983 solver.cpp:189] Iteration 30200, loss = 0.533674
I0506 11:20:30.683769  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.313264 (* 0.3 = 0.0939792 loss)
I0506 11:20:30.683779  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.249464 (* 0.3 = 0.0748392 loss)
I0506 11:20:30.683789  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.237059 (* 1 = 0.237059 loss)
I0506 11:20:30.683799  7983 solver.cpp:464] Iteration 30200, lr = 0.00993688
I0506 11:22:31.564775  7983 solver.cpp:189] Iteration 30300, loss = 0.580814
I0506 11:22:31.564815  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.682858 (* 0.3 = 0.204858 loss)
I0506 11:22:31.564824  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.495641 (* 0.3 = 0.148692 loss)
I0506 11:22:31.564833  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.563837 (* 1 = 0.563837 loss)
I0506 11:22:31.564844  7983 solver.cpp:464] Iteration 30300, lr = 0.00993667
I0506 11:24:32.074733  7983 solver.cpp:189] Iteration 30400, loss = 0.6111
I0506 11:24:32.074772  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.626518 (* 0.3 = 0.187956 loss)
I0506 11:24:32.074782  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.551407 (* 0.3 = 0.165422 loss)
I0506 11:24:32.074791  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.464823 (* 1 = 0.464823 loss)
I0506 11:24:32.074801  7983 solver.cpp:464] Iteration 30400, lr = 0.00993646
I0506 11:26:32.732419  7983 solver.cpp:189] Iteration 30500, loss = 0.555272
I0506 11:26:32.732460  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.215721 (* 0.3 = 0.0647164 loss)
I0506 11:26:32.732470  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.294164 (* 0.3 = 0.0882491 loss)
I0506 11:26:32.732480  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.28829 (* 1 = 0.28829 loss)
I0506 11:26:32.732489  7983 solver.cpp:464] Iteration 30500, lr = 0.00993626
I0506 11:28:32.965373  7983 solver.cpp:189] Iteration 30600, loss = 0.607796
I0506 11:28:32.965415  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.445979 (* 0.3 = 0.133794 loss)
I0506 11:28:32.965425  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.473285 (* 0.3 = 0.141985 loss)
I0506 11:28:32.965432  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.481214 (* 1 = 0.481214 loss)
I0506 11:28:32.965442  7983 solver.cpp:464] Iteration 30600, lr = 0.00993604
I0506 11:30:33.517735  7983 solver.cpp:189] Iteration 30700, loss = 0.603308
I0506 11:30:33.517776  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.221321 (* 0.3 = 0.0663964 loss)
I0506 11:30:33.517786  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.270462 (* 0.3 = 0.0811385 loss)
I0506 11:30:33.517794  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.243452 (* 1 = 0.243452 loss)
I0506 11:30:33.517806  7983 solver.cpp:464] Iteration 30700, lr = 0.00993584
I0506 11:32:34.345299  7983 solver.cpp:189] Iteration 30800, loss = 0.647923
I0506 11:32:34.345337  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.36558 (* 0.3 = 0.109674 loss)
I0506 11:32:34.345347  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.369588 (* 0.3 = 0.110876 loss)
I0506 11:32:34.345356  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.442586 (* 1 = 0.442586 loss)
I0506 11:32:34.345366  7983 solver.cpp:464] Iteration 30800, lr = 0.00993563
I0506 11:34:36.454104  7983 solver.cpp:189] Iteration 30900, loss = 0.578597
I0506 11:34:36.454144  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.374093 (* 0.3 = 0.112228 loss)
I0506 11:34:36.454154  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.307609 (* 0.3 = 0.0922827 loss)
I0506 11:34:36.454164  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.351583 (* 1 = 0.351583 loss)
I0506 11:34:36.454174  7983 solver.cpp:464] Iteration 30900, lr = 0.00993542
I0506 11:36:38.734578  7983 solver.cpp:266] Iteration 31000, Testing net (#0)
I0506 11:37:01.391083  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.30018 (* 0.3 = 0.390053 loss)
I0506 11:37:01.391109  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.649537
I0506 11:37:01.391116  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.831481
I0506 11:37:01.391125  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.26364 (* 0.3 = 0.379093 loss)
I0506 11:37:01.391131  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.656018
I0506 11:37:01.391137  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.824537
I0506 11:37:01.391145  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.32328 (* 1 = 1.32328 loss)
I0506 11:37:01.391151  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.647685
I0506 11:37:01.391156  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.826389
I0506 11:37:02.390166  7983 solver.cpp:189] Iteration 31000, loss = 0.553436
I0506 11:37:02.390208  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.278349 (* 0.3 = 0.0835046 loss)
I0506 11:37:02.390219  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.178358 (* 0.3 = 0.0535073 loss)
I0506 11:37:02.390228  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.189104 (* 1 = 0.189104 loss)
I0506 11:37:02.390239  7983 solver.cpp:464] Iteration 31000, lr = 0.00993521
I0506 11:39:04.369137  7983 solver.cpp:189] Iteration 31100, loss = 0.642109
I0506 11:39:04.369176  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.773991 (* 0.3 = 0.232197 loss)
I0506 11:39:04.369187  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.62338 (* 0.3 = 0.187014 loss)
I0506 11:39:04.369196  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.603028 (* 1 = 0.603028 loss)
I0506 11:39:04.369205  7983 solver.cpp:464] Iteration 31100, lr = 0.009935
I0506 11:41:05.967907  7983 solver.cpp:189] Iteration 31200, loss = 0.547333
I0506 11:41:05.967946  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.486873 (* 0.3 = 0.146062 loss)
I0506 11:41:05.967955  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.350403 (* 0.3 = 0.105121 loss)
I0506 11:41:05.967964  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.310532 (* 1 = 0.310532 loss)
I0506 11:41:05.967974  7983 solver.cpp:464] Iteration 31200, lr = 0.00993479
I0506 11:43:06.659234  7983 solver.cpp:189] Iteration 31300, loss = 0.590004
I0506 11:43:06.659274  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.204014 (* 0.3 = 0.0612041 loss)
I0506 11:43:06.659286  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.163989 (* 0.3 = 0.0491966 loss)
I0506 11:43:06.659294  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.169725 (* 1 = 0.169725 loss)
I0506 11:43:06.659304  7983 solver.cpp:464] Iteration 31300, lr = 0.00993458
I0506 11:45:07.980281  7983 solver.cpp:189] Iteration 31400, loss = 0.599086
I0506 11:45:07.980321  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.449778 (* 0.3 = 0.134933 loss)
I0506 11:45:07.980331  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.341504 (* 0.3 = 0.102451 loss)
I0506 11:45:07.980340  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.357067 (* 1 = 0.357067 loss)
I0506 11:45:07.980351  7983 solver.cpp:464] Iteration 31400, lr = 0.00993437
I0506 11:47:08.957550  7983 solver.cpp:189] Iteration 31500, loss = 0.560467
I0506 11:47:08.957589  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.388388 (* 0.3 = 0.116516 loss)
I0506 11:47:08.957599  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.246392 (* 0.3 = 0.0739177 loss)
I0506 11:47:08.957607  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.312255 (* 1 = 0.312255 loss)
I0506 11:47:08.957617  7983 solver.cpp:464] Iteration 31500, lr = 0.00993416
I0506 11:49:10.270088  7983 solver.cpp:189] Iteration 31600, loss = 0.521047
I0506 11:49:10.270128  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.471896 (* 0.3 = 0.141569 loss)
I0506 11:49:10.270139  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.484753 (* 0.3 = 0.145426 loss)
I0506 11:49:10.270148  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.493003 (* 1 = 0.493003 loss)
I0506 11:49:10.270158  7983 solver.cpp:464] Iteration 31600, lr = 0.00993395
I0506 11:51:11.126080  7983 solver.cpp:189] Iteration 31700, loss = 0.644513
I0506 11:51:11.126126  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.316982 (* 0.3 = 0.0950945 loss)
I0506 11:51:11.126137  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.30625 (* 0.3 = 0.091875 loss)
I0506 11:51:11.126145  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.282993 (* 1 = 0.282993 loss)
I0506 11:51:11.126157  7983 solver.cpp:464] Iteration 31700, lr = 0.00993374
I0506 11:53:12.241780  7983 solver.cpp:189] Iteration 31800, loss = 0.582121
I0506 11:53:12.241819  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.299269 (* 0.3 = 0.0897807 loss)
I0506 11:53:12.241830  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.248281 (* 0.3 = 0.0744844 loss)
I0506 11:53:12.241838  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.233953 (* 1 = 0.233953 loss)
I0506 11:53:12.241848  7983 solver.cpp:464] Iteration 31800, lr = 0.00993353
I0506 11:55:13.510601  7983 solver.cpp:189] Iteration 31900, loss = 0.634116
I0506 11:55:13.510638  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.39066 (* 0.3 = 0.117198 loss)
I0506 11:55:13.510649  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.345029 (* 0.3 = 0.103509 loss)
I0506 11:55:13.510659  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.37388 (* 1 = 0.37388 loss)
I0506 11:55:13.510668  7983 solver.cpp:464] Iteration 31900, lr = 0.00993332
I0506 11:57:14.977699  7983 solver.cpp:266] Iteration 32000, Testing net (#0)
I0506 11:57:37.526212  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.29235 (* 0.3 = 0.387704 loss)
I0506 11:57:37.526235  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.657407
I0506 11:57:37.526242  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.824074
I0506 11:57:37.526252  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.29404 (* 0.3 = 0.388212 loss)
I0506 11:57:37.526259  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.637037
I0506 11:57:37.526265  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.829167
I0506 11:57:37.526273  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.26396 (* 1 = 1.26396 loss)
I0506 11:57:37.526279  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.639815
I0506 11:57:37.526284  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.831481
I0506 11:57:38.517073  7983 solver.cpp:189] Iteration 32000, loss = 0.596647
I0506 11:57:38.517112  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.571789 (* 0.3 = 0.171537 loss)
I0506 11:57:38.517122  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.484495 (* 0.3 = 0.145349 loss)
I0506 11:57:38.517132  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.566737 (* 1 = 0.566737 loss)
I0506 11:57:38.517140  7983 solver.cpp:464] Iteration 32000, lr = 0.00993311
I0506 11:59:40.108706  7983 solver.cpp:189] Iteration 32100, loss = 0.593348
I0506 11:59:40.108748  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.464185 (* 0.3 = 0.139256 loss)
I0506 11:59:40.108758  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.344006 (* 0.3 = 0.103202 loss)
I0506 11:59:40.108767  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.423955 (* 1 = 0.423955 loss)
I0506 11:59:40.108777  7983 solver.cpp:464] Iteration 32100, lr = 0.0099329
I0506 12:01:41.862819  7983 solver.cpp:189] Iteration 32200, loss = 0.587646
I0506 12:01:41.862860  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.292948 (* 0.3 = 0.0878844 loss)
I0506 12:01:41.862871  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.256875 (* 0.3 = 0.0770627 loss)
I0506 12:01:41.862880  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.26759 (* 1 = 0.26759 loss)
I0506 12:01:41.862890  7983 solver.cpp:464] Iteration 32200, lr = 0.00993269
I0506 12:03:43.571976  7983 solver.cpp:189] Iteration 32300, loss = 0.590752
I0506 12:03:43.572016  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.449929 (* 0.3 = 0.134979 loss)
I0506 12:03:43.572026  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.423476 (* 0.3 = 0.127043 loss)
I0506 12:03:43.572034  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.404003 (* 1 = 0.404003 loss)
I0506 12:03:43.572044  7983 solver.cpp:464] Iteration 32300, lr = 0.00993248
I0506 12:05:45.689124  7983 solver.cpp:189] Iteration 32400, loss = 0.584393
I0506 12:05:45.689163  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.490224 (* 0.3 = 0.147067 loss)
I0506 12:05:45.689173  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.481255 (* 0.3 = 0.144376 loss)
I0506 12:05:45.689182  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.4111 (* 1 = 0.4111 loss)
I0506 12:05:45.689193  7983 solver.cpp:464] Iteration 32400, lr = 0.00993227
I0506 12:07:46.966140  7983 solver.cpp:189] Iteration 32500, loss = 0.596102
I0506 12:07:46.966192  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.363626 (* 0.3 = 0.109088 loss)
I0506 12:07:46.966202  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.335863 (* 0.3 = 0.100759 loss)
I0506 12:07:46.966210  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.3413 (* 1 = 0.3413 loss)
I0506 12:07:46.966222  7983 solver.cpp:464] Iteration 32500, lr = 0.00993206
I0506 12:09:50.654867  7983 solver.cpp:189] Iteration 32600, loss = 0.632095
I0506 12:09:50.654907  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.41761 (* 0.3 = 0.125283 loss)
I0506 12:09:50.654917  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.409597 (* 0.3 = 0.122879 loss)
I0506 12:09:50.654927  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.430937 (* 1 = 0.430937 loss)
I0506 12:09:50.654937  7983 solver.cpp:464] Iteration 32600, lr = 0.00993185
I0506 12:11:55.341980  7983 solver.cpp:189] Iteration 32700, loss = 0.490551
I0506 12:11:55.342021  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.40371 (* 0.3 = 0.121113 loss)
I0506 12:11:55.342032  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.461137 (* 0.3 = 0.138341 loss)
I0506 12:11:55.342041  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.530287 (* 1 = 0.530287 loss)
I0506 12:11:55.342051  7983 solver.cpp:464] Iteration 32700, lr = 0.00993164
I0506 12:13:56.289780  7983 solver.cpp:189] Iteration 32800, loss = 0.539922
I0506 12:13:56.289819  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.267977 (* 0.3 = 0.0803932 loss)
I0506 12:13:56.289829  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.319499 (* 0.3 = 0.0958497 loss)
I0506 12:13:56.289839  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.302748 (* 1 = 0.302748 loss)
I0506 12:13:56.289849  7983 solver.cpp:464] Iteration 32800, lr = 0.00993143
I0506 12:15:58.007107  7983 solver.cpp:189] Iteration 32900, loss = 0.515578
I0506 12:15:58.007149  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.329919 (* 0.3 = 0.0989757 loss)
I0506 12:15:58.007160  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.221034 (* 0.3 = 0.0663102 loss)
I0506 12:15:58.007169  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.187983 (* 1 = 0.187983 loss)
I0506 12:15:58.007179  7983 solver.cpp:464] Iteration 32900, lr = 0.00993122
I0506 12:17:58.564338  7983 solver.cpp:266] Iteration 33000, Testing net (#0)
I0506 12:18:20.741739  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.21416 (* 0.3 = 0.364247 loss)
I0506 12:18:20.741762  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.653241
I0506 12:18:20.741770  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.846296
I0506 12:18:20.741778  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.14938 (* 0.3 = 0.344815 loss)
I0506 12:18:20.741786  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.660185
I0506 12:18:20.741791  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.849074
I0506 12:18:20.741799  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.11485 (* 1 = 1.11485 loss)
I0506 12:18:20.741806  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.664815
I0506 12:18:20.741811  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.84537
I0506 12:18:21.718201  7983 solver.cpp:189] Iteration 33000, loss = 0.610954
I0506 12:18:21.718238  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.530042 (* 0.3 = 0.159013 loss)
I0506 12:18:21.718248  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.364365 (* 0.3 = 0.109309 loss)
I0506 12:18:21.718257  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.344125 (* 1 = 0.344125 loss)
I0506 12:18:21.718266  7983 solver.cpp:464] Iteration 33000, lr = 0.00993101
I0506 12:20:23.336251  7983 solver.cpp:189] Iteration 33100, loss = 0.524537
I0506 12:20:23.336292  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.90205 (* 0.3 = 0.270615 loss)
I0506 12:20:23.336302  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.975656 (* 0.3 = 0.292697 loss)
I0506 12:20:23.336311  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.94988 (* 1 = 0.94988 loss)
I0506 12:20:23.336320  7983 solver.cpp:464] Iteration 33100, lr = 0.0099308
I0506 12:22:24.440907  7983 solver.cpp:189] Iteration 33200, loss = 0.592977
I0506 12:22:24.440946  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.222571 (* 0.3 = 0.0667713 loss)
I0506 12:22:24.440958  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.360043 (* 0.3 = 0.108013 loss)
I0506 12:22:24.440965  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.311783 (* 1 = 0.311783 loss)
I0506 12:22:24.440975  7983 solver.cpp:464] Iteration 33200, lr = 0.00993059
I0506 12:24:25.086715  7983 solver.cpp:189] Iteration 33300, loss = 0.620712
I0506 12:24:25.086755  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.430718 (* 0.3 = 0.129215 loss)
I0506 12:24:25.086766  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.354619 (* 0.3 = 0.106386 loss)
I0506 12:24:25.086773  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.393584 (* 1 = 0.393584 loss)
I0506 12:24:25.086784  7983 solver.cpp:464] Iteration 33300, lr = 0.00993038
I0506 12:26:25.707756  7983 solver.cpp:189] Iteration 33400, loss = 0.533741
I0506 12:26:25.707795  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.484055 (* 0.3 = 0.145217 loss)
I0506 12:26:25.707805  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.349349 (* 0.3 = 0.104805 loss)
I0506 12:26:25.707813  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.369735 (* 1 = 0.369735 loss)
I0506 12:26:25.707823  7983 solver.cpp:464] Iteration 33400, lr = 0.00993017
I0506 12:28:26.170465  7983 solver.cpp:189] Iteration 33500, loss = 0.678517
I0506 12:28:26.170503  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.446354 (* 0.3 = 0.133906 loss)
I0506 12:28:26.170513  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.515506 (* 0.3 = 0.154652 loss)
I0506 12:28:26.170522  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.430571 (* 1 = 0.430571 loss)
I0506 12:28:26.170532  7983 solver.cpp:464] Iteration 33500, lr = 0.00992996
I0506 12:30:26.549948  7983 solver.cpp:189] Iteration 33600, loss = 0.523854
I0506 12:30:26.549988  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.220554 (* 0.3 = 0.0661661 loss)
I0506 12:30:26.549998  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.206184 (* 0.3 = 0.0618552 loss)
I0506 12:30:26.550006  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.171453 (* 1 = 0.171453 loss)
I0506 12:30:26.550017  7983 solver.cpp:464] Iteration 33600, lr = 0.00992975
I0506 12:32:27.287420  7983 solver.cpp:189] Iteration 33700, loss = 0.599356
I0506 12:32:27.287457  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.731012 (* 0.3 = 0.219304 loss)
I0506 12:32:27.287468  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.692296 (* 0.3 = 0.207689 loss)
I0506 12:32:27.287477  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.696057 (* 1 = 0.696057 loss)
I0506 12:32:27.287487  7983 solver.cpp:464] Iteration 33700, lr = 0.00992954
I0506 12:34:28.100241  7983 solver.cpp:189] Iteration 33800, loss = 0.541386
I0506 12:34:28.100281  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.470205 (* 0.3 = 0.141061 loss)
I0506 12:34:28.100291  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.347594 (* 0.3 = 0.104278 loss)
I0506 12:34:28.100301  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.361603 (* 1 = 0.361603 loss)
I0506 12:34:28.100311  7983 solver.cpp:464] Iteration 33800, lr = 0.00992933
I0506 12:36:29.957787  7983 solver.cpp:189] Iteration 33900, loss = 0.569275
I0506 12:36:29.957828  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.197529 (* 0.3 = 0.0592588 loss)
I0506 12:36:29.957839  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.227221 (* 0.3 = 0.0681663 loss)
I0506 12:36:29.957847  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.221148 (* 1 = 0.221148 loss)
I0506 12:36:29.957857  7983 solver.cpp:464] Iteration 33900, lr = 0.00992912
I0506 12:38:30.319336  7983 solver.cpp:266] Iteration 34000, Testing net (#0)
I0506 12:38:52.803784  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.15682 (* 0.3 = 0.347047 loss)
I0506 12:38:52.803808  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.693981
I0506 12:38:52.803817  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.85463
I0506 12:38:52.803824  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.08187 (* 0.3 = 0.32456 loss)
I0506 12:38:52.803830  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.688426
I0506 12:38:52.803836  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.859259
I0506 12:38:52.803844  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.10768 (* 1 = 1.10768 loss)
I0506 12:38:52.803850  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.679167
I0506 12:38:52.803856  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.858333
I0506 12:38:53.785545  7983 solver.cpp:189] Iteration 34000, loss = 0.555932
I0506 12:38:53.785583  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.337367 (* 0.3 = 0.10121 loss)
I0506 12:38:53.785593  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.325346 (* 0.3 = 0.0976037 loss)
I0506 12:38:53.785601  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.314102 (* 1 = 0.314102 loss)
I0506 12:38:53.785612  7983 solver.cpp:464] Iteration 34000, lr = 0.00992891
I0506 12:40:55.822407  7983 solver.cpp:189] Iteration 34100, loss = 0.581359
I0506 12:40:55.822444  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.575942 (* 0.3 = 0.172783 loss)
I0506 12:40:55.822454  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.483629 (* 0.3 = 0.145089 loss)
I0506 12:40:55.822463  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.482667 (* 1 = 0.482667 loss)
I0506 12:40:55.822474  7983 solver.cpp:464] Iteration 34100, lr = 0.0099287
I0506 12:42:58.515331  7983 solver.cpp:189] Iteration 34200, loss = 0.578996
I0506 12:42:58.515378  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.389683 (* 0.3 = 0.116905 loss)
I0506 12:42:58.515388  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.375423 (* 0.3 = 0.112627 loss)
I0506 12:42:58.515398  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.407595 (* 1 = 0.407595 loss)
I0506 12:42:58.515408  7983 solver.cpp:464] Iteration 34200, lr = 0.00992849
I0506 12:44:59.932247  7983 solver.cpp:189] Iteration 34300, loss = 0.567663
I0506 12:44:59.932286  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.249405 (* 0.3 = 0.0748215 loss)
I0506 12:44:59.932297  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.380328 (* 0.3 = 0.114098 loss)
I0506 12:44:59.932306  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.318229 (* 1 = 0.318229 loss)
I0506 12:44:59.932317  7983 solver.cpp:464] Iteration 34300, lr = 0.00992828
I0506 12:47:01.574796  7983 solver.cpp:189] Iteration 34400, loss = 0.50319
I0506 12:47:01.574836  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.564846 (* 0.3 = 0.169454 loss)
I0506 12:47:01.574846  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.329879 (* 0.3 = 0.0989637 loss)
I0506 12:47:01.574854  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.396102 (* 1 = 0.396102 loss)
I0506 12:47:01.574864  7983 solver.cpp:464] Iteration 34400, lr = 0.00992807
I0506 12:49:03.867930  7983 solver.cpp:189] Iteration 34500, loss = 0.517533
I0506 12:49:03.867972  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.288657 (* 0.3 = 0.0865972 loss)
I0506 12:49:03.867982  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.227448 (* 0.3 = 0.0682344 loss)
I0506 12:49:03.867991  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.261523 (* 1 = 0.261523 loss)
I0506 12:49:03.868001  7983 solver.cpp:464] Iteration 34500, lr = 0.00992787
I0506 12:51:05.340594  7983 solver.cpp:189] Iteration 34600, loss = 0.57377
I0506 12:51:05.340641  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.269688 (* 0.3 = 0.0809065 loss)
I0506 12:51:05.340651  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.283339 (* 0.3 = 0.0850016 loss)
I0506 12:51:05.340659  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.266716 (* 1 = 0.266716 loss)
I0506 12:51:05.340669  7983 solver.cpp:464] Iteration 34600, lr = 0.00992765
I0506 12:53:05.944809  7983 solver.cpp:189] Iteration 34700, loss = 0.543113
I0506 12:53:05.944849  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.791528 (* 0.3 = 0.237458 loss)
I0506 12:53:05.944859  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.417981 (* 0.3 = 0.125394 loss)
I0506 12:53:05.944867  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.324256 (* 1 = 0.324256 loss)
I0506 12:53:05.944877  7983 solver.cpp:464] Iteration 34700, lr = 0.00992745
I0506 12:55:06.636000  7983 solver.cpp:189] Iteration 34800, loss = 0.58585
I0506 12:55:06.636040  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.679826 (* 0.3 = 0.203948 loss)
I0506 12:55:06.636051  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.80135 (* 0.3 = 0.240405 loss)
I0506 12:55:06.636059  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.725716 (* 1 = 0.725716 loss)
I0506 12:55:06.636070  7983 solver.cpp:464] Iteration 34800, lr = 0.00992723
I0506 12:57:07.397826  7983 solver.cpp:189] Iteration 34900, loss = 0.598505
I0506 12:57:07.397866  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.278858 (* 0.3 = 0.0836573 loss)
I0506 12:57:07.397876  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.21278 (* 0.3 = 0.063834 loss)
I0506 12:57:07.397884  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.238479 (* 1 = 0.238479 loss)
I0506 12:57:07.397894  7983 solver.cpp:464] Iteration 34900, lr = 0.00992703
I0506 12:59:07.423632  7983 solver.cpp:334] Snapshotting to models/bvlc_googlenet/ADS_googlenet_quick_iter_35000.caffemodel
I0506 12:59:07.521771  7983 solver.cpp:342] Snapshotting solver state to models/bvlc_googlenet/ADS_googlenet_quick_iter_35000.solverstate
I0506 12:59:07.587779  7983 solver.cpp:266] Iteration 35000, Testing net (#0)
I0506 12:59:30.042809  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.4047 (* 0.3 = 0.421411 loss)
I0506 12:59:30.042831  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.613426
I0506 12:59:30.042840  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.806481
I0506 12:59:30.042847  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.26592 (* 0.3 = 0.379775 loss)
I0506 12:59:30.042853  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.630556
I0506 12:59:30.042860  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.820833
I0506 12:59:30.042867  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.29088 (* 1 = 1.29088 loss)
I0506 12:59:30.042873  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.623611
I0506 12:59:30.042879  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.822685
I0506 12:59:31.018177  7983 solver.cpp:189] Iteration 35000, loss = 0.55417
I0506 12:59:31.018213  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.655791 (* 0.3 = 0.196737 loss)
I0506 12:59:31.018224  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.419997 (* 0.3 = 0.125999 loss)
I0506 12:59:31.018231  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.388034 (* 1 = 0.388034 loss)
I0506 12:59:31.018241  7983 solver.cpp:464] Iteration 35000, lr = 0.00992682
I0506 13:01:33.774978  7983 solver.cpp:189] Iteration 35100, loss = 0.475218
I0506 13:01:33.775019  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.520916 (* 0.3 = 0.156275 loss)
I0506 13:01:33.775030  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.300394 (* 0.3 = 0.0901181 loss)
I0506 13:01:33.775039  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.331117 (* 1 = 0.331117 loss)
I0506 13:01:33.775050  7983 solver.cpp:464] Iteration 35100, lr = 0.00992661
I0506 13:03:38.287231  7983 solver.cpp:189] Iteration 35200, loss = 0.563413
I0506 13:03:38.287276  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.277738 (* 0.3 = 0.0833214 loss)
I0506 13:03:38.287286  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.204331 (* 0.3 = 0.0612994 loss)
I0506 13:03:38.287294  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.195771 (* 1 = 0.195771 loss)
I0506 13:03:38.287305  7983 solver.cpp:464] Iteration 35200, lr = 0.0099264
I0506 13:05:40.124876  7983 solver.cpp:189] Iteration 35300, loss = 0.604191
I0506 13:05:40.124917  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.24548 (* 0.3 = 0.073644 loss)
I0506 13:05:40.124927  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.47614 (* 0.3 = 0.142842 loss)
I0506 13:05:40.124935  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.463388 (* 1 = 0.463388 loss)
I0506 13:05:40.124945  7983 solver.cpp:464] Iteration 35300, lr = 0.00992619
I0506 13:07:41.050807  7983 solver.cpp:189] Iteration 35400, loss = 0.659911
I0506 13:07:41.050849  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.298405 (* 0.3 = 0.0895214 loss)
I0506 13:07:41.050860  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.29895 (* 0.3 = 0.0896851 loss)
I0506 13:07:41.050868  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.262895 (* 1 = 0.262895 loss)
I0506 13:07:41.050879  7983 solver.cpp:464] Iteration 35400, lr = 0.00992598
I0506 13:09:42.298558  7983 solver.cpp:189] Iteration 35500, loss = 0.601309
I0506 13:09:42.298598  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.592943 (* 0.3 = 0.177883 loss)
I0506 13:09:42.298609  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.346266 (* 0.3 = 0.10388 loss)
I0506 13:09:42.298617  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.301477 (* 1 = 0.301477 loss)
I0506 13:09:42.298626  7983 solver.cpp:464] Iteration 35500, lr = 0.00992577
I0506 13:11:42.913225  7983 solver.cpp:189] Iteration 35600, loss = 0.548134
I0506 13:11:42.913266  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.209413 (* 0.3 = 0.0628239 loss)
I0506 13:11:42.913276  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.17839 (* 0.3 = 0.0535171 loss)
I0506 13:11:42.913285  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.210997 (* 1 = 0.210997 loss)
I0506 13:11:42.913295  7983 solver.cpp:464] Iteration 35600, lr = 0.00992556
I0506 13:13:43.429611  7983 solver.cpp:189] Iteration 35700, loss = 0.536261
I0506 13:13:43.429651  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.292743 (* 0.3 = 0.0878228 loss)
I0506 13:13:43.429661  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.376646 (* 0.3 = 0.112994 loss)
I0506 13:13:43.429669  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.287166 (* 1 = 0.287166 loss)
I0506 13:13:43.429679  7983 solver.cpp:464] Iteration 35700, lr = 0.00992535
I0506 13:15:44.992600  7983 solver.cpp:189] Iteration 35800, loss = 0.533166
I0506 13:15:44.992645  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.629889 (* 0.3 = 0.188967 loss)
I0506 13:15:44.992655  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.482956 (* 0.3 = 0.144887 loss)
I0506 13:15:44.992663  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.443735 (* 1 = 0.443735 loss)
I0506 13:15:44.992674  7983 solver.cpp:464] Iteration 35800, lr = 0.00992514
I0506 13:17:46.635941  7983 solver.cpp:189] Iteration 35900, loss = 0.521701
I0506 13:17:46.635984  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.268844 (* 0.3 = 0.0806532 loss)
I0506 13:17:46.635995  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.221051 (* 0.3 = 0.0663154 loss)
I0506 13:17:46.636003  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.228738 (* 1 = 0.228738 loss)
I0506 13:17:46.636013  7983 solver.cpp:464] Iteration 35900, lr = 0.00992493
I0506 13:19:46.505533  7983 solver.cpp:266] Iteration 36000, Testing net (#0)
I0506 13:20:08.846068  7983 solver.cpp:315]     Test net output #0: loss1/loss1 = 1.1662 (* 0.3 = 0.34986 loss)
I0506 13:20:08.846092  7983 solver.cpp:315]     Test net output #1: loss1/top-1 = 0.673611
I0506 13:20:08.846099  7983 solver.cpp:315]     Test net output #2: loss1/top-2 = 0.850926
I0506 13:20:08.846107  7983 solver.cpp:315]     Test net output #3: loss2/loss1 = 1.1236 (* 0.3 = 0.337079 loss)
I0506 13:20:08.846114  7983 solver.cpp:315]     Test net output #4: loss2/top-1 = 0.668519
I0506 13:20:08.846120  7983 solver.cpp:315]     Test net output #5: loss2/top-2 = 0.847685
I0506 13:20:08.846128  7983 solver.cpp:315]     Test net output #6: loss3/loss3 = 1.13724 (* 1 = 1.13724 loss)
I0506 13:20:08.846134  7983 solver.cpp:315]     Test net output #7: loss3/top-1 = 0.664352
I0506 13:20:08.846139  7983 solver.cpp:315]     Test net output #8: loss3/top-2 = 0.852778
I0506 13:20:09.819227  7983 solver.cpp:189] Iteration 36000, loss = 0.466469
I0506 13:20:09.819264  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.425411 (* 0.3 = 0.127623 loss)
I0506 13:20:09.819275  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.385114 (* 0.3 = 0.115534 loss)
I0506 13:20:09.819283  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.297571 (* 1 = 0.297571 loss)
I0506 13:20:09.819293  7983 solver.cpp:464] Iteration 36000, lr = 0.00992472
I0506 13:22:11.165165  7983 solver.cpp:189] Iteration 36100, loss = 0.498288
I0506 13:22:11.165206  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.231173 (* 0.3 = 0.069352 loss)
I0506 13:22:11.165216  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.330053 (* 0.3 = 0.099016 loss)
I0506 13:22:11.165225  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.319774 (* 1 = 0.319774 loss)
I0506 13:22:11.165235  7983 solver.cpp:464] Iteration 36100, lr = 0.00992451
I0506 13:24:13.156942  7983 solver.cpp:189] Iteration 36200, loss = 0.534526
I0506 13:24:13.156980  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.335863 (* 0.3 = 0.100759 loss)
I0506 13:24:13.156991  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.281296 (* 0.3 = 0.0843889 loss)
I0506 13:24:13.157001  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.289541 (* 1 = 0.289541 loss)
I0506 13:24:13.157011  7983 solver.cpp:464] Iteration 36200, lr = 0.0099243
I0506 13:26:15.150091  7983 solver.cpp:189] Iteration 36300, loss = 0.503036
I0506 13:26:15.150135  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.572939 (* 0.3 = 0.171882 loss)
I0506 13:26:15.150145  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.580562 (* 0.3 = 0.174169 loss)
I0506 13:26:15.150153  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.654375 (* 1 = 0.654375 loss)
I0506 13:26:15.150163  7983 solver.cpp:464] Iteration 36300, lr = 0.00992409
I0506 13:28:15.948827  7983 solver.cpp:189] Iteration 36400, loss = 0.575232
I0506 13:28:15.948869  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.262067 (* 0.3 = 0.0786203 loss)
I0506 13:28:15.948880  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.197283 (* 0.3 = 0.059185 loss)
I0506 13:28:15.948890  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.250128 (* 1 = 0.250128 loss)
I0506 13:28:15.948900  7983 solver.cpp:464] Iteration 36400, lr = 0.00992388
I0506 13:30:17.077937  7983 solver.cpp:189] Iteration 36500, loss = 0.558968
I0506 13:30:17.077976  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.28837 (* 0.3 = 0.0865109 loss)
I0506 13:30:17.077986  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.257896 (* 0.3 = 0.0773687 loss)
I0506 13:30:17.077996  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.379778 (* 1 = 0.379778 loss)
I0506 13:30:17.078006  7983 solver.cpp:464] Iteration 36500, lr = 0.00992367
I0506 13:32:18.574005  7983 solver.cpp:189] Iteration 36600, loss = 0.492754
I0506 13:32:18.574045  7983 solver.cpp:204]     Train net output #0: loss1/loss1 = 0.20206 (* 0.3 = 0.0606179 loss)
I0506 13:32:18.574056  7983 solver.cpp:204]     Train net output #1: loss2/loss1 = 0.133435 (* 0.3 = 0.0400305 loss)
I0506 13:32:18.574065  7983 solver.cpp:204]     Train net output #2: loss3/loss3 = 0.138993 (* 1 = 0.138993 loss)
I0506 13:32:18.574075  7983 solver.cpp:464] Iteration 36600, lr = 0.00992346