test-320.log

I0123 11:51:52.680150 30204 caffe.cpp:355] Use GPU with device ID 0
I0123 11:51:52.853601 30204 net.cpp:53] Initializing net from parameters: 
name: "remove_bn"
state {
  phase: TRAIN
  level: 0
  stage: ""
}
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 320
      dim: 320
    }
  }
}
layer {
  name: "conv0"
  type: "Convolution"
  bottom: "data"
  top: "conv0"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    stride: 2
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv0/relu"
  type: "ReLU"
  bottom: "conv0"
  top: "conv0"
}
layer {
  name: "conv1/dw"
  type: "DepthwiseConvolution"
  bottom: "conv0"
  top: "conv1/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 32
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv1/dw/relu"
  type: "ReLU"
  bottom: "conv1/dw"
  top: "conv1/dw"
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "conv1/dw"
  top: "conv1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv1/relu"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "conv2/dw"
  type: "DepthwiseConvolution"
  bottom: "conv1"
  top: "conv2/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 64
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv2/dw/relu"
  type: "ReLU"
  bottom: "conv2/dw"
  top: "conv2/dw"
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "conv2/dw"
  top: "conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv2/relu"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "conv3/dw"
  type: "DepthwiseConvolution"
  bottom: "conv2"
  top: "conv3/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv3/dw/relu"
  type: "ReLU"
  bottom: "conv3/dw"
  top: "conv3/dw"
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "conv3/dw"
  top: "conv3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv3/relu"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "conv4/dw"
  type: "DepthwiseConvolution"
  bottom: "conv3"
  top: "conv4/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv4/dw/relu"
  type: "ReLU"
  bottom: "conv4/dw"
  top: "conv4/dw"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv4/dw"
  top: "conv4"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv4/relu"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}
layer {
  name: "conv5/dw"
  type: "DepthwiseConvolution"
  bottom: "conv4"
  top: "conv5/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 256
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv5/dw/relu"
  type: "ReLU"
  bottom: "conv5/dw"
  top: "conv5/dw"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "conv5/dw"
  top: "conv5"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv5/relu"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "conv6/dw"
  type: "DepthwiseConvolution"
  bottom: "conv5"
  top: "conv6/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 256
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv6/dw/relu"
  type: "ReLU"
  bottom: "conv6/dw"
  top: "conv6/dw"
}
layer {
  name: "conv6"
  type: "Convolution"
  bottom: "conv6/dw"
  top: "conv6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv6/relu"
  type: "ReLU"
  bottom: "conv6"
  top: "conv6"
}
layer {
  name: "conv7/dw"
  type: "DepthwiseConvolution"
  bottom: "conv6"
  top: "conv7/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv7/dw/relu"
  type: "ReLU"
  bottom: "conv7/dw"
  top: "conv7/dw"
}
layer {
  name: "conv7"
  type: "Convolution"
  bottom: "conv7/dw"
  top: "conv7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv7/relu"
  type: "ReLU"
  bottom: "conv7"
  top: "conv7"
}
layer {
  name: "conv8/dw"
  type: "DepthwiseConvolution"
  bottom: "conv7"
  top: "conv8/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv8/dw/relu"
  type: "ReLU"
  bottom: "conv8/dw"
  top: "conv8/dw"
}
layer {
  name: "conv8"
  type: "Convolution"
  bottom: "conv8/dw"
  top: "conv8"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv8/relu"
  type: "ReLU"
  bottom: "conv8"
  top: "conv8"
}
layer {
  name: "conv9/dw"
  type: "DepthwiseConvolution"
  bottom: "conv8"
  top: "conv9/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv9/dw/relu"
  type: "ReLU"
  bottom: "conv9/dw"
  top: "conv9/dw"
}
layer {
  name: "conv9"
  type: "Convolution"
  bottom: "conv9/dw"
  top: "conv9"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv9/relu"
  type: "ReLU"
  bottom: "conv9"
  top: "conv9"
}
layer {
  name: "conv10/dw"
  type: "DepthwiseConvolution"
  bottom: "conv9"
  top: "conv10/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv10/dw/relu"
  type: "ReLU"
  bottom: "conv10/dw"
  top: "conv10/dw"
}
layer {
  name: "conv10"
  type: "Convolution"
  bottom: "conv10/dw"
  top: "conv10"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv10/relu"
  type: "ReLU"
  bottom: "conv10"
  top: "conv10"
}
layer {
  name: "conv11/dw"
  type: "DepthwiseConvolution"
  bottom: "conv10"
  top: "conv11/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv11/dw/relu"
  type: "ReLU"
  bottom: "conv11/dw"
  top: "conv11/dw"
}
layer {
  name: "conv11"
  type: "Convolution"
  bottom: "conv11/dw"
  top: "conv11"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv11/relu"
  type: "ReLU"
  bottom: "conv11"
  top: "conv11"
}
layer {
  name: "conv12/dw"
  type: "DepthwiseConvolution"
  bottom: "conv11"
  top: "conv12/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    stride: 2
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv12/dw/relu"
  type: "ReLU"
  bottom: "conv12/dw"
  top: "conv12/dw"
}
layer {
  name: "conv12"
  type: "Convolution"
  bottom: "conv12/dw"
  top: "conv12"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv12/relu"
  type: "ReLU"
  bottom: "conv12"
  top: "conv12"
}
layer {
  name: "conv13/dw"
  type: "DepthwiseConvolution"
  bottom: "conv12"
  top: "conv13/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1024
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv13/dw/relu"
  type: "ReLU"
  bottom: "conv13/dw"
  top: "conv13/dw"
}
layer {
  name: "conv13"
  type: "Convolution"
  bottom: "conv13/dw"
  top: "conv13"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv13/relu"
  type: "ReLU"
  bottom: "conv13"
  top: "conv13"
}
layer {
  name: "conv15/dw"
  type: "DepthwiseConvolution"
  bottom: "conv13"
  top: "conv15/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1024
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv15/dw/relu"
  type: "ReLU"
  bottom: "conv15/dw"
  top: "conv15/dw"
}
layer {
  name: "conv15"
  type: "Convolution"
  bottom: "conv15/dw"
  top: "conv15"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv15/relu"
  type: "ReLU"
  bottom: "conv15"
  top: "conv15"
}
layer {
  name: "upsample"
  type: "Deconvolution"
  bottom: "conv15"
  top: "upsample"
  param {
    lr_mult: 0
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    bias_term: false
    pad: 0
    kernel_size: 1
    group: 512
    stride: 2
    weight_filler {
      type: "constant"
      value: 1
    }
  }
}
layer {
  name: "maxpool"
  type: "Pooling"
  bottom: "upsample"
  top: "maxpool"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 1
    pad: 1
  }
}
layer {
  name: "conv17/dw"
  type: "DepthwiseConvolution"
  bottom: "conv11"
  top: "conv17/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv17/dw/relu"
  type: "ReLU"
  bottom: "conv17/dw"
  top: "conv17/dw"
}
layer {
  name: "conv17"
  type: "Convolution"
  bottom: "conv17/dw"
  top: "conv17"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv17/relu"
  type: "ReLU"
  bottom: "conv17"
  top: "conv17"
}
layer {
  name: "conv17/sum"
  type: "Eltwise"
  bottom: "maxpool"
  bottom: "conv17"
  top: "conv17/sum"
}
layer {
  name: "conv18/dw"
  type: "DepthwiseConvolution"
  bottom: "conv17/sum"
  top: "conv18/dw"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 512
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 512
    weight_filler {
      type: "msra"
    }
    engine: CAFFE
  }
}
layer {
  name: "conv18/dw/relu"
  type: "ReLU"
  bottom: "conv18/dw"
  top: "conv18/dw"
}
layer {
  name: "conv18_new"
  type: "Convolution"
  bottom: "conv18/dw"
  top: "conv18_new"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 1024
    bias_term: true
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "conv18_new/relu"
  type: "ReLU"
  bottom: "conv18_new"
  top: "conv18_new"
}
layer {
  name: "conv19"
  type: "Convolution"
  bottom: "conv15"
  top: "conv19"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 75
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "conv20"
  type: "Convolution"
  bottom: "conv18_new"
  top: "conv20"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 75
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      value: 0
    }
  }
}
layer {
  name: "detection_out"
  type: "Yolov3DetectionOutput"
  bottom: "conv19"
  bottom: "conv20"
  top: "detection_out"
  yolov3_detection_output_param {
    num_classes: 20
    confidence_threshold: 0.3
    nms_threshold: 0.45
    biases: 10
    biases: 14
    biases: 23
    biases: 27
    biases: 37
    biases: 58
    biases: 81
    biases: 82
    biases: 135
    biases: 169
    biases: 344
    biases: 319
    anchors_scale: 32
    anchors_scale: 16
    mask_group_num: 2
    mask: 3
    mask: 4
    mask: 5
    mask: 0
    mask: 1
    mask: 2
  }
}
I0123 11:51:52.853834 30204 layer_factory.hpp:77] Creating layer data
I0123 11:51:52.853847 30204 net.cpp:86] Creating Layer data
I0123 11:51:52.853852 30204 net.cpp:382] data -> data
I0123 11:51:52.864717 30204 net.cpp:124] Setting up data
I0123 11:51:52.864754 30204 net.cpp:131] Top shape: 1 3 320 320 (307200)
I0123 11:51:52.864758 30204 net.cpp:139] Memory required for data: 1228800
I0123 11:51:52.864766 30204 layer_factory.hpp:77] Creating layer conv0
I0123 11:51:52.864785 30204 net.cpp:86] Creating Layer conv0
I0123 11:51:52.864792 30204 net.cpp:408] conv0 <- data
I0123 11:51:52.864799 30204 net.cpp:382] conv0 -> conv0
I0123 11:51:52.866101 30204 net.cpp:124] Setting up conv0
I0123 11:51:52.866113 30204 net.cpp:131] Top shape: 1 32 160 160 (819200)
I0123 11:51:52.866117 30204 net.cpp:139] Memory required for data: 4505600
I0123 11:51:52.866143 30204 layer_factory.hpp:77] Creating layer conv0/relu
I0123 11:51:52.866152 30204 net.cpp:86] Creating Layer conv0/relu
I0123 11:51:52.866154 30204 net.cpp:408] conv0/relu <- conv0
I0123 11:51:52.866158 30204 net.cpp:369] conv0/relu -> conv0 (in-place)
I0123 11:51:52.866163 30204 net.cpp:124] Setting up conv0/relu
I0123 11:51:52.866168 30204 net.cpp:131] Top shape: 1 32 160 160 (819200)
I0123 11:51:52.866169 30204 net.cpp:139] Memory required for data: 7782400
I0123 11:51:52.866171 30204 layer_factory.hpp:77] Creating layer conv1/dw
I0123 11:51:52.866178 30204 net.cpp:86] Creating Layer conv1/dw
I0123 11:51:52.866181 30204 net.cpp:408] conv1/dw <- conv0
I0123 11:51:52.866184 30204 net.cpp:382] conv1/dw -> conv1/dw
I0123 11:51:52.866395 30204 net.cpp:124] Setting up conv1/dw
I0123 11:51:52.866401 30204 net.cpp:131] Top shape: 1 32 160 160 (819200)
I0123 11:51:52.866403 30204 net.cpp:139] Memory required for data: 11059200
I0123 11:51:52.866420 30204 layer_factory.hpp:77] Creating layer conv1/dw/relu
I0123 11:51:52.866426 30204 net.cpp:86] Creating Layer conv1/dw/relu
I0123 11:51:52.866428 30204 net.cpp:408] conv1/dw/relu <- conv1/dw
I0123 11:51:52.866431 30204 net.cpp:369] conv1/dw/relu -> conv1/dw (in-place)
I0123 11:51:52.866436 30204 net.cpp:124] Setting up conv1/dw/relu
I0123 11:51:52.866438 30204 net.cpp:131] Top shape: 1 32 160 160 (819200)
I0123 11:51:52.866441 30204 net.cpp:139] Memory required for data: 14336000
I0123 11:51:52.866442 30204 layer_factory.hpp:77] Creating layer conv1
I0123 11:51:52.866447 30204 net.cpp:86] Creating Layer conv1
I0123 11:51:52.866449 30204 net.cpp:408] conv1 <- conv1/dw
I0123 11:51:52.866453 30204 net.cpp:382] conv1 -> conv1
I0123 11:51:52.867149 30204 net.cpp:124] Setting up conv1
I0123 11:51:52.867158 30204 net.cpp:131] Top shape: 1 64 160 160 (1638400)
I0123 11:51:52.867161 30204 net.cpp:139] Memory required for data: 20889600
I0123 11:51:52.867180 30204 layer_factory.hpp:77] Creating layer conv1/relu
I0123 11:51:52.867185 30204 net.cpp:86] Creating Layer conv1/relu
I0123 11:51:52.867188 30204 net.cpp:408] conv1/relu <- conv1
I0123 11:51:52.867192 30204 net.cpp:369] conv1/relu -> conv1 (in-place)
I0123 11:51:52.867195 30204 net.cpp:124] Setting up conv1/relu
I0123 11:51:52.867199 30204 net.cpp:131] Top shape: 1 64 160 160 (1638400)
I0123 11:51:52.867202 30204 net.cpp:139] Memory required for data: 27443200
I0123 11:51:52.867203 30204 layer_factory.hpp:77] Creating layer conv2/dw
I0123 11:51:52.867208 30204 net.cpp:86] Creating Layer conv2/dw
I0123 11:51:52.867210 30204 net.cpp:408] conv2/dw <- conv1
I0123 11:51:52.867216 30204 net.cpp:382] conv2/dw -> conv2/dw
I0123 11:51:52.867954 30204 net.cpp:124] Setting up conv2/dw
I0123 11:51:52.867964 30204 net.cpp:131] Top shape: 1 64 80 80 (409600)
I0123 11:51:52.867966 30204 net.cpp:139] Memory required for data: 29081600
I0123 11:51:52.867970 30204 layer_factory.hpp:77] Creating layer conv2/dw/relu
I0123 11:51:52.867990 30204 net.cpp:86] Creating Layer conv2/dw/relu
I0123 11:51:52.867992 30204 net.cpp:408] conv2/dw/relu <- conv2/dw
I0123 11:51:52.867995 30204 net.cpp:369] conv2/dw/relu -> conv2/dw (in-place)
I0123 11:51:52.868000 30204 net.cpp:124] Setting up conv2/dw/relu
I0123 11:51:52.868005 30204 net.cpp:131] Top shape: 1 64 80 80 (409600)
I0123 11:51:52.868006 30204 net.cpp:139] Memory required for data: 30720000
I0123 11:51:52.868008 30204 layer_factory.hpp:77] Creating layer conv2
I0123 11:51:52.868043 30204 net.cpp:86] Creating Layer conv2
I0123 11:51:52.868047 30204 net.cpp:408] conv2 <- conv2/dw
I0123 11:51:52.868050 30204 net.cpp:382] conv2 -> conv2
I0123 11:51:52.868296 30204 net.cpp:124] Setting up conv2
I0123 11:51:52.868301 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868304 30204 net.cpp:139] Memory required for data: 33996800
I0123 11:51:52.868309 30204 layer_factory.hpp:77] Creating layer conv2/relu
I0123 11:51:52.868326 30204 net.cpp:86] Creating Layer conv2/relu
I0123 11:51:52.868329 30204 net.cpp:408] conv2/relu <- conv2
I0123 11:51:52.868331 30204 net.cpp:369] conv2/relu -> conv2 (in-place)
I0123 11:51:52.868335 30204 net.cpp:124] Setting up conv2/relu
I0123 11:51:52.868360 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868361 30204 net.cpp:139] Memory required for data: 37273600
I0123 11:51:52.868363 30204 layer_factory.hpp:77] Creating layer conv3/dw
I0123 11:51:52.868368 30204 net.cpp:86] Creating Layer conv3/dw
I0123 11:51:52.868387 30204 net.cpp:408] conv3/dw <- conv2
I0123 11:51:52.868391 30204 net.cpp:382] conv3/dw -> conv3/dw
I0123 11:51:52.868594 30204 net.cpp:124] Setting up conv3/dw
I0123 11:51:52.868599 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868602 30204 net.cpp:139] Memory required for data: 40550400
I0123 11:51:52.868605 30204 layer_factory.hpp:77] Creating layer conv3/dw/relu
I0123 11:51:52.868608 30204 net.cpp:86] Creating Layer conv3/dw/relu
I0123 11:51:52.868610 30204 net.cpp:408] conv3/dw/relu <- conv3/dw
I0123 11:51:52.868623 30204 net.cpp:369] conv3/dw/relu -> conv3/dw (in-place)
I0123 11:51:52.868628 30204 net.cpp:124] Setting up conv3/dw/relu
I0123 11:51:52.868630 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868633 30204 net.cpp:139] Memory required for data: 43827200
I0123 11:51:52.868649 30204 layer_factory.hpp:77] Creating layer conv3
I0123 11:51:52.868654 30204 net.cpp:86] Creating Layer conv3
I0123 11:51:52.868656 30204 net.cpp:408] conv3 <- conv3/dw
I0123 11:51:52.868660 30204 net.cpp:382] conv3 -> conv3
I0123 11:51:52.868909 30204 net.cpp:124] Setting up conv3
I0123 11:51:52.868916 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868917 30204 net.cpp:139] Memory required for data: 47104000
I0123 11:51:52.868921 30204 layer_factory.hpp:77] Creating layer conv3/relu
I0123 11:51:52.868926 30204 net.cpp:86] Creating Layer conv3/relu
I0123 11:51:52.868927 30204 net.cpp:408] conv3/relu <- conv3
I0123 11:51:52.868930 30204 net.cpp:369] conv3/relu -> conv3 (in-place)
I0123 11:51:52.868933 30204 net.cpp:124] Setting up conv3/relu
I0123 11:51:52.868937 30204 net.cpp:131] Top shape: 1 128 80 80 (819200)
I0123 11:51:52.868938 30204 net.cpp:139] Memory required for data: 50380800
I0123 11:51:52.868940 30204 layer_factory.hpp:77] Creating layer conv4/dw
I0123 11:51:52.868944 30204 net.cpp:86] Creating Layer conv4/dw
I0123 11:51:52.868947 30204 net.cpp:408] conv4/dw <- conv3
I0123 11:51:52.868950 30204 net.cpp:382] conv4/dw -> conv4/dw
I0123 11:51:52.869123 30204 net.cpp:124] Setting up conv4/dw
I0123 11:51:52.869129 30204 net.cpp:131] Top shape: 1 128 40 40 (204800)
I0123 11:51:52.869132 30204 net.cpp:139] Memory required for data: 51200000
I0123 11:51:52.869134 30204 layer_factory.hpp:77] Creating layer conv4/dw/relu
I0123 11:51:52.869139 30204 net.cpp:86] Creating Layer conv4/dw/relu
I0123 11:51:52.869143 30204 net.cpp:408] conv4/dw/relu <- conv4/dw
I0123 11:51:52.869145 30204 net.cpp:369] conv4/dw/relu -> conv4/dw (in-place)
I0123 11:51:52.869148 30204 net.cpp:124] Setting up conv4/dw/relu
I0123 11:51:52.869151 30204 net.cpp:131] Top shape: 1 128 40 40 (204800)
I0123 11:51:52.869153 30204 net.cpp:139] Memory required for data: 52019200
I0123 11:51:52.869155 30204 layer_factory.hpp:77] Creating layer conv4
I0123 11:51:52.869160 30204 net.cpp:86] Creating Layer conv4
I0123 11:51:52.869163 30204 net.cpp:408] conv4 <- conv4/dw
I0123 11:51:52.869179 30204 net.cpp:382] conv4 -> conv4
I0123 11:51:52.869546 30204 net.cpp:124] Setting up conv4
I0123 11:51:52.869552 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.869554 30204 net.cpp:139] Memory required for data: 53657600
I0123 11:51:52.869558 30204 layer_factory.hpp:77] Creating layer conv4/relu
I0123 11:51:52.869577 30204 net.cpp:86] Creating Layer conv4/relu
I0123 11:51:52.869580 30204 net.cpp:408] conv4/relu <- conv4
I0123 11:51:52.869582 30204 net.cpp:369] conv4/relu -> conv4 (in-place)
I0123 11:51:52.869586 30204 net.cpp:124] Setting up conv4/relu
I0123 11:51:52.869590 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.869591 30204 net.cpp:139] Memory required for data: 55296000
I0123 11:51:52.869593 30204 layer_factory.hpp:77] Creating layer conv5/dw
I0123 11:51:52.869598 30204 net.cpp:86] Creating Layer conv5/dw
I0123 11:51:52.869602 30204 net.cpp:408] conv5/dw <- conv4
I0123 11:51:52.869606 30204 net.cpp:382] conv5/dw -> conv5/dw
I0123 11:51:52.869799 30204 net.cpp:124] Setting up conv5/dw
I0123 11:51:52.869804 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.869818 30204 net.cpp:139] Memory required for data: 56934400
I0123 11:51:52.869822 30204 layer_factory.hpp:77] Creating layer conv5/dw/relu
I0123 11:51:52.869824 30204 net.cpp:86] Creating Layer conv5/dw/relu
I0123 11:51:52.869828 30204 net.cpp:408] conv5/dw/relu <- conv5/dw
I0123 11:51:52.869832 30204 net.cpp:369] conv5/dw/relu -> conv5/dw (in-place)
I0123 11:51:52.869834 30204 net.cpp:124] Setting up conv5/dw/relu
I0123 11:51:52.869837 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.869839 30204 net.cpp:139] Memory required for data: 58572800
I0123 11:51:52.869848 30204 layer_factory.hpp:77] Creating layer conv5
I0123 11:51:52.869851 30204 net.cpp:86] Creating Layer conv5
I0123 11:51:52.869855 30204 net.cpp:408] conv5 <- conv5/dw
I0123 11:51:52.869859 30204 net.cpp:382] conv5 -> conv5
I0123 11:51:52.870434 30204 net.cpp:124] Setting up conv5
I0123 11:51:52.870440 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.870441 30204 net.cpp:139] Memory required for data: 60211200
I0123 11:51:52.870445 30204 layer_factory.hpp:77] Creating layer conv5/relu
I0123 11:51:52.870462 30204 net.cpp:86] Creating Layer conv5/relu
I0123 11:51:52.870465 30204 net.cpp:408] conv5/relu <- conv5
I0123 11:51:52.870467 30204 net.cpp:369] conv5/relu -> conv5 (in-place)
I0123 11:51:52.870471 30204 net.cpp:124] Setting up conv5/relu
I0123 11:51:52.870473 30204 net.cpp:131] Top shape: 1 256 40 40 (409600)
I0123 11:51:52.870476 30204 net.cpp:139] Memory required for data: 61849600
I0123 11:51:52.870477 30204 layer_factory.hpp:77] Creating layer conv6/dw
I0123 11:51:52.870482 30204 net.cpp:86] Creating Layer conv6/dw
I0123 11:51:52.870486 30204 net.cpp:408] conv6/dw <- conv5
I0123 11:51:52.870489 30204 net.cpp:382] conv6/dw -> conv6/dw
I0123 11:51:52.870663 30204 net.cpp:124] Setting up conv6/dw
I0123 11:51:52.870668 30204 net.cpp:131] Top shape: 1 256 20 20 (102400)
I0123 11:51:52.870683 30204 net.cpp:139] Memory required for data: 62259200
I0123 11:51:52.870687 30204 layer_factory.hpp:77] Creating layer conv6/dw/relu
I0123 11:51:52.870690 30204 net.cpp:86] Creating Layer conv6/dw/relu
I0123 11:51:52.870692 30204 net.cpp:408] conv6/dw/relu <- conv6/dw
I0123 11:51:52.870695 30204 net.cpp:369] conv6/dw/relu -> conv6/dw (in-place)
I0123 11:51:52.870698 30204 net.cpp:124] Setting up conv6/dw/relu
I0123 11:51:52.870702 30204 net.cpp:131] Top shape: 1 256 20 20 (102400)
I0123 11:51:52.870703 30204 net.cpp:139] Memory required for data: 62668800
I0123 11:51:52.870707 30204 layer_factory.hpp:77] Creating layer conv6
I0123 11:51:52.870710 30204 net.cpp:86] Creating Layer conv6
I0123 11:51:52.870712 30204 net.cpp:408] conv6 <- conv6/dw
I0123 11:51:52.870715 30204 net.cpp:382] conv6 -> conv6
I0123 11:51:52.872263 30204 net.cpp:124] Setting up conv6
I0123 11:51:52.872272 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.872275 30204 net.cpp:139] Memory required for data: 63488000
I0123 11:51:52.872293 30204 layer_factory.hpp:77] Creating layer conv6/relu
I0123 11:51:52.872298 30204 net.cpp:86] Creating Layer conv6/relu
I0123 11:51:52.872300 30204 net.cpp:408] conv6/relu <- conv6
I0123 11:51:52.872304 30204 net.cpp:369] conv6/relu -> conv6 (in-place)
I0123 11:51:52.872308 30204 net.cpp:124] Setting up conv6/relu
I0123 11:51:52.872311 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.872313 30204 net.cpp:139] Memory required for data: 64307200
I0123 11:51:52.872315 30204 layer_factory.hpp:77] Creating layer conv7/dw
I0123 11:51:52.872320 30204 net.cpp:86] Creating Layer conv7/dw
I0123 11:51:52.872323 30204 net.cpp:408] conv7/dw <- conv6
I0123 11:51:52.872328 30204 net.cpp:382] conv7/dw -> conv7/dw
I0123 11:51:52.872543 30204 net.cpp:124] Setting up conv7/dw
I0123 11:51:52.872550 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.872551 30204 net.cpp:139] Memory required for data: 65126400
I0123 11:51:52.872555 30204 layer_factory.hpp:77] Creating layer conv7/dw/relu
I0123 11:51:52.872572 30204 net.cpp:86] Creating Layer conv7/dw/relu
I0123 11:51:52.872575 30204 net.cpp:408] conv7/dw/relu <- conv7/dw
I0123 11:51:52.872578 30204 net.cpp:369] conv7/dw/relu -> conv7/dw (in-place)
I0123 11:51:52.872581 30204 net.cpp:124] Setting up conv7/dw/relu
I0123 11:51:52.872584 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.872586 30204 net.cpp:139] Memory required for data: 65945600
I0123 11:51:52.872588 30204 layer_factory.hpp:77] Creating layer conv7
I0123 11:51:52.872593 30204 net.cpp:86] Creating Layer conv7
I0123 11:51:52.872596 30204 net.cpp:408] conv7 <- conv7/dw
I0123 11:51:52.872601 30204 net.cpp:382] conv7 -> conv7
I0123 11:51:52.874382 30204 net.cpp:124] Setting up conv7
I0123 11:51:52.874388 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.874390 30204 net.cpp:139] Memory required for data: 66764800
I0123 11:51:52.874394 30204 layer_factory.hpp:77] Creating layer conv7/relu
I0123 11:51:52.874413 30204 net.cpp:86] Creating Layer conv7/relu
I0123 11:51:52.874414 30204 net.cpp:408] conv7/relu <- conv7
I0123 11:51:52.874418 30204 net.cpp:369] conv7/relu -> conv7 (in-place)
I0123 11:51:52.874421 30204 net.cpp:124] Setting up conv7/relu
I0123 11:51:52.874423 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.874425 30204 net.cpp:139] Memory required for data: 67584000
I0123 11:51:52.874428 30204 layer_factory.hpp:77] Creating layer conv8/dw
I0123 11:51:52.874433 30204 net.cpp:86] Creating Layer conv8/dw
I0123 11:51:52.874436 30204 net.cpp:408] conv8/dw <- conv7
I0123 11:51:52.874439 30204 net.cpp:382] conv8/dw -> conv8/dw
I0123 11:51:52.874670 30204 net.cpp:124] Setting up conv8/dw
I0123 11:51:52.874676 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.874678 30204 net.cpp:139] Memory required for data: 68403200
I0123 11:51:52.874681 30204 layer_factory.hpp:77] Creating layer conv8/dw/relu
I0123 11:51:52.874688 30204 net.cpp:86] Creating Layer conv8/dw/relu
I0123 11:51:52.874691 30204 net.cpp:408] conv8/dw/relu <- conv8/dw
I0123 11:51:52.874693 30204 net.cpp:369] conv8/dw/relu -> conv8/dw (in-place)
I0123 11:51:52.874696 30204 net.cpp:124] Setting up conv8/dw/relu
I0123 11:51:52.874699 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.874701 30204 net.cpp:139] Memory required for data: 69222400
I0123 11:51:52.874703 30204 layer_factory.hpp:77] Creating layer conv8
I0123 11:51:52.874708 30204 net.cpp:86] Creating Layer conv8
I0123 11:51:52.874711 30204 net.cpp:408] conv8 <- conv8/dw
I0123 11:51:52.874713 30204 net.cpp:382] conv8 -> conv8
I0123 11:51:52.877018 30204 net.cpp:124] Setting up conv8
I0123 11:51:52.877028 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.877032 30204 net.cpp:139] Memory required for data: 70041600
I0123 11:51:52.877053 30204 layer_factory.hpp:77] Creating layer conv8/relu
I0123 11:51:52.877059 30204 net.cpp:86] Creating Layer conv8/relu
I0123 11:51:52.877061 30204 net.cpp:408] conv8/relu <- conv8
I0123 11:51:52.877065 30204 net.cpp:369] conv8/relu -> conv8 (in-place)
I0123 11:51:52.877069 30204 net.cpp:124] Setting up conv8/relu
I0123 11:51:52.877072 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.877076 30204 net.cpp:139] Memory required for data: 70860800
I0123 11:51:52.877079 30204 layer_factory.hpp:77] Creating layer conv9/dw
I0123 11:51:52.877084 30204 net.cpp:86] Creating Layer conv9/dw
I0123 11:51:52.877087 30204 net.cpp:408] conv9/dw <- conv8
I0123 11:51:52.877090 30204 net.cpp:382] conv9/dw -> conv9/dw
I0123 11:51:52.877337 30204 net.cpp:124] Setting up conv9/dw
I0123 11:51:52.877342 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.877344 30204 net.cpp:139] Memory required for data: 71680000
I0123 11:51:52.877348 30204 layer_factory.hpp:77] Creating layer conv9/dw/relu
I0123 11:51:52.877351 30204 net.cpp:86] Creating Layer conv9/dw/relu
I0123 11:51:52.877368 30204 net.cpp:408] conv9/dw/relu <- conv9/dw
I0123 11:51:52.877370 30204 net.cpp:369] conv9/dw/relu -> conv9/dw (in-place)
I0123 11:51:52.877374 30204 net.cpp:124] Setting up conv9/dw/relu
I0123 11:51:52.877377 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.877379 30204 net.cpp:139] Memory required for data: 72499200
I0123 11:51:52.877382 30204 layer_factory.hpp:77] Creating layer conv9
I0123 11:51:52.877385 30204 net.cpp:86] Creating Layer conv9
I0123 11:51:52.877413 30204 net.cpp:408] conv9 <- conv9/dw
I0123 11:51:52.877416 30204 net.cpp:382] conv9 -> conv9
I0123 11:51:52.879233 30204 net.cpp:124] Setting up conv9
I0123 11:51:52.879240 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.879241 30204 net.cpp:139] Memory required for data: 73318400
I0123 11:51:52.879245 30204 layer_factory.hpp:77] Creating layer conv9/relu
I0123 11:51:52.879272 30204 net.cpp:86] Creating Layer conv9/relu
I0123 11:51:52.879276 30204 net.cpp:408] conv9/relu <- conv9
I0123 11:51:52.879278 30204 net.cpp:369] conv9/relu -> conv9 (in-place)
I0123 11:51:52.879282 30204 net.cpp:124] Setting up conv9/relu
I0123 11:51:52.879285 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.879287 30204 net.cpp:139] Memory required for data: 74137600
I0123 11:51:52.879289 30204 layer_factory.hpp:77] Creating layer conv10/dw
I0123 11:51:52.879295 30204 net.cpp:86] Creating Layer conv10/dw
I0123 11:51:52.879298 30204 net.cpp:408] conv10/dw <- conv9
I0123 11:51:52.879318 30204 net.cpp:382] conv10/dw -> conv10/dw
I0123 11:51:52.879568 30204 net.cpp:124] Setting up conv10/dw
I0123 11:51:52.879575 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.879576 30204 net.cpp:139] Memory required for data: 74956800
I0123 11:51:52.879580 30204 layer_factory.hpp:77] Creating layer conv10/dw/relu
I0123 11:51:52.879585 30204 net.cpp:86] Creating Layer conv10/dw/relu
I0123 11:51:52.879586 30204 net.cpp:408] conv10/dw/relu <- conv10/dw
I0123 11:51:52.879590 30204 net.cpp:369] conv10/dw/relu -> conv10/dw (in-place)
I0123 11:51:52.879592 30204 net.cpp:124] Setting up conv10/dw/relu
I0123 11:51:52.879595 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.879597 30204 net.cpp:139] Memory required for data: 75776000
I0123 11:51:52.879600 30204 layer_factory.hpp:77] Creating layer conv10
I0123 11:51:52.879604 30204 net.cpp:86] Creating Layer conv10
I0123 11:51:52.879606 30204 net.cpp:408] conv10 <- conv10/dw
I0123 11:51:52.879609 30204 net.cpp:382] conv10 -> conv10
I0123 11:51:52.881959 30204 net.cpp:124] Setting up conv10
I0123 11:51:52.881969 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.881973 30204 net.cpp:139] Memory required for data: 76595200
I0123 11:51:52.881990 30204 layer_factory.hpp:77] Creating layer conv10/relu
I0123 11:51:52.881995 30204 net.cpp:86] Creating Layer conv10/relu
I0123 11:51:52.881999 30204 net.cpp:408] conv10/relu <- conv10
I0123 11:51:52.882002 30204 net.cpp:369] conv10/relu -> conv10 (in-place)
I0123 11:51:52.882006 30204 net.cpp:124] Setting up conv10/relu
I0123 11:51:52.882009 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.882011 30204 net.cpp:139] Memory required for data: 77414400
I0123 11:51:52.882014 30204 layer_factory.hpp:77] Creating layer conv11/dw
I0123 11:51:52.882019 30204 net.cpp:86] Creating Layer conv11/dw
I0123 11:51:52.882023 30204 net.cpp:408] conv11/dw <- conv10
I0123 11:51:52.882026 30204 net.cpp:382] conv11/dw -> conv11/dw
I0123 11:51:52.882239 30204 net.cpp:124] Setting up conv11/dw
I0123 11:51:52.882244 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.882246 30204 net.cpp:139] Memory required for data: 78233600
I0123 11:51:52.882251 30204 layer_factory.hpp:77] Creating layer conv11/dw/relu
I0123 11:51:52.882254 30204 net.cpp:86] Creating Layer conv11/dw/relu
I0123 11:51:52.882256 30204 net.cpp:408] conv11/dw/relu <- conv11/dw
I0123 11:51:52.882259 30204 net.cpp:369] conv11/dw/relu -> conv11/dw (in-place)
I0123 11:51:52.882263 30204 net.cpp:124] Setting up conv11/dw/relu
I0123 11:51:52.882266 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.882267 30204 net.cpp:139] Memory required for data: 79052800
I0123 11:51:52.882269 30204 layer_factory.hpp:77] Creating layer conv11
I0123 11:51:52.882274 30204 net.cpp:86] Creating Layer conv11
I0123 11:51:52.882277 30204 net.cpp:408] conv11 <- conv11/dw
I0123 11:51:52.882280 30204 net.cpp:382] conv11 -> conv11
I0123 11:51:52.884040 30204 net.cpp:124] Setting up conv11
I0123 11:51:52.884047 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.884048 30204 net.cpp:139] Memory required for data: 79872000
I0123 11:51:52.884052 30204 layer_factory.hpp:77] Creating layer conv11/relu
I0123 11:51:52.884055 30204 net.cpp:86] Creating Layer conv11/relu
I0123 11:51:52.884058 30204 net.cpp:408] conv11/relu <- conv11
I0123 11:51:52.884061 30204 net.cpp:369] conv11/relu -> conv11 (in-place)
I0123 11:51:52.884073 30204 net.cpp:124] Setting up conv11/relu
I0123 11:51:52.884078 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.884079 30204 net.cpp:139] Memory required for data: 80691200
I0123 11:51:52.884081 30204 layer_factory.hpp:77] Creating layer conv11_conv11/relu_0_split
I0123 11:51:52.884084 30204 net.cpp:86] Creating Layer conv11_conv11/relu_0_split
I0123 11:51:52.884088 30204 net.cpp:408] conv11_conv11/relu_0_split <- conv11
I0123 11:51:52.884090 30204 net.cpp:382] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_0
I0123 11:51:52.884095 30204 net.cpp:382] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_1
I0123 11:51:52.884124 30204 net.cpp:124] Setting up conv11_conv11/relu_0_split
I0123 11:51:52.884127 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.884130 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.884132 30204 net.cpp:139] Memory required for data: 82329600
I0123 11:51:52.884135 30204 layer_factory.hpp:77] Creating layer conv12/dw
I0123 11:51:52.884140 30204 net.cpp:86] Creating Layer conv12/dw
I0123 11:51:52.884142 30204 net.cpp:408] conv12/dw <- conv11_conv11/relu_0_split_0
I0123 11:51:52.884151 30204 net.cpp:382] conv12/dw -> conv12/dw
I0123 11:51:52.884366 30204 net.cpp:124] Setting up conv12/dw
I0123 11:51:52.884371 30204 net.cpp:131] Top shape: 1 512 10 10 (51200)
I0123 11:51:52.884373 30204 net.cpp:139] Memory required for data: 82534400
I0123 11:51:52.884377 30204 layer_factory.hpp:77] Creating layer conv12/dw/relu
I0123 11:51:52.884380 30204 net.cpp:86] Creating Layer conv12/dw/relu
I0123 11:51:52.884383 30204 net.cpp:408] conv12/dw/relu <- conv12/dw
I0123 11:51:52.884387 30204 net.cpp:369] conv12/dw/relu -> conv12/dw (in-place)
I0123 11:51:52.884389 30204 net.cpp:124] Setting up conv12/dw/relu
I0123 11:51:52.884392 30204 net.cpp:131] Top shape: 1 512 10 10 (51200)
I0123 11:51:52.884394 30204 net.cpp:139] Memory required for data: 82739200
I0123 11:51:52.884397 30204 layer_factory.hpp:77] Creating layer conv12
I0123 11:51:52.884402 30204 net.cpp:86] Creating Layer conv12
I0123 11:51:52.884404 30204 net.cpp:408] conv12 <- conv12/dw
I0123 11:51:52.884407 30204 net.cpp:382] conv12 -> conv12
I0123 11:51:52.888334 30204 net.cpp:124] Setting up conv12
I0123 11:51:52.888347 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.888350 30204 net.cpp:139] Memory required for data: 83148800
I0123 11:51:52.888355 30204 layer_factory.hpp:77] Creating layer conv12/relu
I0123 11:51:52.888360 30204 net.cpp:86] Creating Layer conv12/relu
I0123 11:51:52.888362 30204 net.cpp:408] conv12/relu <- conv12
I0123 11:51:52.888366 30204 net.cpp:369] conv12/relu -> conv12 (in-place)
I0123 11:51:52.888371 30204 net.cpp:124] Setting up conv12/relu
I0123 11:51:52.888375 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.888376 30204 net.cpp:139] Memory required for data: 83558400
I0123 11:51:52.888378 30204 layer_factory.hpp:77] Creating layer conv13/dw
I0123 11:51:52.888384 30204 net.cpp:86] Creating Layer conv13/dw
I0123 11:51:52.888386 30204 net.cpp:408] conv13/dw <- conv12
I0123 11:51:52.888391 30204 net.cpp:382] conv13/dw -> conv13/dw
I0123 11:51:52.888609 30204 net.cpp:124] Setting up conv13/dw
I0123 11:51:52.888615 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.888617 30204 net.cpp:139] Memory required for data: 83968000
I0123 11:51:52.888622 30204 layer_factory.hpp:77] Creating layer conv13/dw/relu
I0123 11:51:52.888624 30204 net.cpp:86] Creating Layer conv13/dw/relu
I0123 11:51:52.888628 30204 net.cpp:408] conv13/dw/relu <- conv13/dw
I0123 11:51:52.888631 30204 net.cpp:369] conv13/dw/relu -> conv13/dw (in-place)
I0123 11:51:52.888634 30204 net.cpp:124] Setting up conv13/dw/relu
I0123 11:51:52.888638 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.888639 30204 net.cpp:139] Memory required for data: 84377600
I0123 11:51:52.888641 30204 layer_factory.hpp:77] Creating layer conv13
I0123 11:51:52.888648 30204 net.cpp:86] Creating Layer conv13
I0123 11:51:52.888659 30204 net.cpp:408] conv13 <- conv13/dw
I0123 11:51:52.888662 30204 net.cpp:382] conv13 -> conv13
I0123 11:51:52.896193 30204 net.cpp:124] Setting up conv13
I0123 11:51:52.896210 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.896214 30204 net.cpp:139] Memory required for data: 84787200
I0123 11:51:52.896219 30204 layer_factory.hpp:77] Creating layer conv13/relu
I0123 11:51:52.896224 30204 net.cpp:86] Creating Layer conv13/relu
I0123 11:51:52.896227 30204 net.cpp:408] conv13/relu <- conv13
I0123 11:51:52.896231 30204 net.cpp:369] conv13/relu -> conv13 (in-place)
I0123 11:51:52.896239 30204 net.cpp:124] Setting up conv13/relu
I0123 11:51:52.896241 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.896244 30204 net.cpp:139] Memory required for data: 85196800
I0123 11:51:52.896245 30204 layer_factory.hpp:77] Creating layer conv15/dw
I0123 11:51:52.896252 30204 net.cpp:86] Creating Layer conv15/dw
I0123 11:51:52.896255 30204 net.cpp:408] conv15/dw <- conv13
I0123 11:51:52.896260 30204 net.cpp:382] conv15/dw -> conv15/dw
I0123 11:51:52.896492 30204 net.cpp:124] Setting up conv15/dw
I0123 11:51:52.896497 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.896499 30204 net.cpp:139] Memory required for data: 85606400
I0123 11:51:52.896503 30204 layer_factory.hpp:77] Creating layer conv15/dw/relu
I0123 11:51:52.896507 30204 net.cpp:86] Creating Layer conv15/dw/relu
I0123 11:51:52.896509 30204 net.cpp:408] conv15/dw/relu <- conv15/dw
I0123 11:51:52.896514 30204 net.cpp:369] conv15/dw/relu -> conv15/dw (in-place)
I0123 11:51:52.896518 30204 net.cpp:124] Setting up conv15/dw/relu
I0123 11:51:52.896520 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.896523 30204 net.cpp:139] Memory required for data: 86016000
I0123 11:51:52.896525 30204 layer_factory.hpp:77] Creating layer conv15
I0123 11:51:52.896529 30204 net.cpp:86] Creating Layer conv15
I0123 11:51:52.896531 30204 net.cpp:408] conv15 <- conv15/dw
I0123 11:51:52.896535 30204 net.cpp:382] conv15 -> conv15
I0123 11:51:52.904047 30204 net.cpp:124] Setting up conv15
I0123 11:51:52.904063 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.904065 30204 net.cpp:139] Memory required for data: 86425600
I0123 11:51:52.904084 30204 layer_factory.hpp:77] Creating layer conv15/relu
I0123 11:51:52.904090 30204 net.cpp:86] Creating Layer conv15/relu
I0123 11:51:52.904093 30204 net.cpp:408] conv15/relu <- conv15
I0123 11:51:52.904098 30204 net.cpp:369] conv15/relu -> conv15 (in-place)
I0123 11:51:52.904103 30204 net.cpp:124] Setting up conv15/relu
I0123 11:51:52.904109 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.904111 30204 net.cpp:139] Memory required for data: 86835200
I0123 11:51:52.904114 30204 layer_factory.hpp:77] Creating layer conv15_conv15/relu_0_split
I0123 11:51:52.904117 30204 net.cpp:86] Creating Layer conv15_conv15/relu_0_split
I0123 11:51:52.904119 30204 net.cpp:408] conv15_conv15/relu_0_split <- conv15
I0123 11:51:52.904122 30204 net.cpp:382] conv15_conv15/relu_0_split -> conv15_conv15/relu_0_split_0
I0123 11:51:52.904134 30204 net.cpp:382] conv15_conv15/relu_0_split -> conv15_conv15/relu_0_split_1
I0123 11:51:52.904191 30204 net.cpp:124] Setting up conv15_conv15/relu_0_split
I0123 11:51:52.904233 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.904243 30204 net.cpp:131] Top shape: 1 1024 10 10 (102400)
I0123 11:51:52.904251 30204 net.cpp:139] Memory required for data: 87654400
I0123 11:51:52.904260 30204 layer_factory.hpp:77] Creating layer upsample
I0123 11:51:52.904274 30204 net.cpp:86] Creating Layer upsample
I0123 11:51:52.904279 30204 net.cpp:408] upsample <- conv15_conv15/relu_0_split_0
I0123 11:51:52.904284 30204 net.cpp:382] upsample -> upsample
I0123 11:51:52.904454 30204 net.cpp:124] Setting up upsample
I0123 11:51:52.904460 30204 net.cpp:131] Top shape: 1 512 19 19 (184832)
I0123 11:51:52.904462 30204 net.cpp:139] Memory required for data: 88393728
I0123 11:51:52.904466 30204 layer_factory.hpp:77] Creating layer maxpool
I0123 11:51:52.904482 30204 net.cpp:86] Creating Layer maxpool
I0123 11:51:52.904484 30204 net.cpp:408] maxpool <- upsample
I0123 11:51:52.904489 30204 net.cpp:382] maxpool -> maxpool
I0123 11:51:52.904541 30204 net.cpp:124] Setting up maxpool
I0123 11:51:52.904546 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.904547 30204 net.cpp:139] Memory required for data: 89212928
I0123 11:51:52.904562 30204 layer_factory.hpp:77] Creating layer conv17/dw
I0123 11:51:52.904567 30204 net.cpp:86] Creating Layer conv17/dw
I0123 11:51:52.904584 30204 net.cpp:408] conv17/dw <- conv11_conv11/relu_0_split_1
I0123 11:51:52.904588 30204 net.cpp:382] conv17/dw -> conv17/dw
I0123 11:51:52.904785 30204 net.cpp:124] Setting up conv17/dw
I0123 11:51:52.904790 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.904793 30204 net.cpp:139] Memory required for data: 90032128
I0123 11:51:52.904796 30204 layer_factory.hpp:77] Creating layer conv17/dw/relu
I0123 11:51:52.904805 30204 net.cpp:86] Creating Layer conv17/dw/relu
I0123 11:51:52.904808 30204 net.cpp:408] conv17/dw/relu <- conv17/dw
I0123 11:51:52.904811 30204 net.cpp:369] conv17/dw/relu -> conv17/dw (in-place)
I0123 11:51:52.904815 30204 net.cpp:124] Setting up conv17/dw/relu
I0123 11:51:52.904819 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.904821 30204 net.cpp:139] Memory required for data: 90851328
I0123 11:51:52.904824 30204 layer_factory.hpp:77] Creating layer conv17
I0123 11:51:52.904827 30204 net.cpp:86] Creating Layer conv17
I0123 11:51:52.904844 30204 net.cpp:408] conv17 <- conv17/dw
I0123 11:51:52.904847 30204 net.cpp:382] conv17 -> conv17
I0123 11:51:52.907212 30204 net.cpp:124] Setting up conv17
I0123 11:51:52.907222 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.907225 30204 net.cpp:139] Memory required for data: 91670528
I0123 11:51:52.907243 30204 layer_factory.hpp:77] Creating layer conv17/relu
I0123 11:51:52.907248 30204 net.cpp:86] Creating Layer conv17/relu
I0123 11:51:52.907250 30204 net.cpp:408] conv17/relu <- conv17
I0123 11:51:52.907254 30204 net.cpp:369] conv17/relu -> conv17 (in-place)
I0123 11:51:52.907258 30204 net.cpp:124] Setting up conv17/relu
I0123 11:51:52.907261 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.907264 30204 net.cpp:139] Memory required for data: 92489728
I0123 11:51:52.907266 30204 layer_factory.hpp:77] Creating layer conv17/sum
I0123 11:51:52.907269 30204 net.cpp:86] Creating Layer conv17/sum
I0123 11:51:52.907272 30204 net.cpp:408] conv17/sum <- maxpool
I0123 11:51:52.907274 30204 net.cpp:408] conv17/sum <- conv17
I0123 11:51:52.907279 30204 net.cpp:382] conv17/sum -> conv17/sum
I0123 11:51:52.907315 30204 net.cpp:124] Setting up conv17/sum
I0123 11:51:52.907320 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.907335 30204 net.cpp:139] Memory required for data: 93308928
I0123 11:51:52.907337 30204 layer_factory.hpp:77] Creating layer conv18/dw
I0123 11:51:52.907341 30204 net.cpp:86] Creating Layer conv18/dw
I0123 11:51:52.907344 30204 net.cpp:408] conv18/dw <- conv17/sum
I0123 11:51:52.907349 30204 net.cpp:382] conv18/dw -> conv18/dw
I0123 11:51:52.907591 30204 net.cpp:124] Setting up conv18/dw
I0123 11:51:52.907598 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.907599 30204 net.cpp:139] Memory required for data: 94128128
I0123 11:51:52.907609 30204 layer_factory.hpp:77] Creating layer conv18/dw/relu
I0123 11:51:52.907613 30204 net.cpp:86] Creating Layer conv18/dw/relu
I0123 11:51:52.907615 30204 net.cpp:408] conv18/dw/relu <- conv18/dw
I0123 11:51:52.907618 30204 net.cpp:369] conv18/dw/relu -> conv18/dw (in-place)
I0123 11:51:52.907622 30204 net.cpp:124] Setting up conv18/dw/relu
I0123 11:51:52.907625 30204 net.cpp:131] Top shape: 1 512 20 20 (204800)
I0123 11:51:52.907629 30204 net.cpp:139] Memory required for data: 94947328
I0123 11:51:52.907630 30204 layer_factory.hpp:77] Creating layer conv18_new
I0123 11:51:52.907634 30204 net.cpp:86] Creating Layer conv18_new
I0123 11:51:52.907637 30204 net.cpp:408] conv18_new <- conv18/dw
I0123 11:51:52.907665 30204 net.cpp:382] conv18_new -> conv18_new
I0123 11:51:52.911518 30204 net.cpp:124] Setting up conv18_new
I0123 11:51:52.911530 30204 net.cpp:131] Top shape: 1 1024 20 20 (409600)
I0123 11:51:52.911531 30204 net.cpp:139] Memory required for data: 96585728
I0123 11:51:52.911550 30204 layer_factory.hpp:77] Creating layer conv18_new/relu
I0123 11:51:52.911556 30204 net.cpp:86] Creating Layer conv18_new/relu
I0123 11:51:52.911558 30204 net.cpp:408] conv18_new/relu <- conv18_new
I0123 11:51:52.911562 30204 net.cpp:369] conv18_new/relu -> conv18_new (in-place)
I0123 11:51:52.911566 30204 net.cpp:124] Setting up conv18_new/relu
I0123 11:51:52.911569 30204 net.cpp:131] Top shape: 1 1024 20 20 (409600)
I0123 11:51:52.911572 30204 net.cpp:139] Memory required for data: 98224128
I0123 11:51:52.911574 30204 layer_factory.hpp:77] Creating layer conv19
I0123 11:51:52.911581 30204 net.cpp:86] Creating Layer conv19
I0123 11:51:52.911583 30204 net.cpp:408] conv19 <- conv15_conv15/relu_0_split_1
I0123 11:51:52.911588 30204 net.cpp:382] conv19 -> conv19
I0123 11:51:52.912122 30204 net.cpp:124] Setting up conv19
I0123 11:51:52.912129 30204 net.cpp:131] Top shape: 1 75 10 10 (7500)
I0123 11:51:52.912132 30204 net.cpp:139] Memory required for data: 98254128
I0123 11:51:52.912135 30204 layer_factory.hpp:77] Creating layer conv20
I0123 11:51:52.912155 30204 net.cpp:86] Creating Layer conv20
I0123 11:51:52.912158 30204 net.cpp:408] conv20 <- conv18_new
I0123 11:51:52.912163 30204 net.cpp:382] conv20 -> conv20
I0123 11:51:52.912653 30204 net.cpp:124] Setting up conv20
I0123 11:51:52.912659 30204 net.cpp:131] Top shape: 1 75 20 20 (30000)
I0123 11:51:52.912662 30204 net.cpp:139] Memory required for data: 98374128
I0123 11:51:52.912665 30204 layer_factory.hpp:77] Creating layer detection_out
I0123 11:51:52.912684 30204 net.cpp:86] Creating Layer detection_out
I0123 11:51:52.912686 30204 net.cpp:408] detection_out <- conv19
I0123 11:51:52.912689 30204 net.cpp:408] detection_out <- conv20
I0123 11:51:52.912693 30204 net.cpp:382] detection_out -> detection_out
I0123 11:51:52.912714 30204 net.cpp:124] Setting up detection_out
I0123 11:51:52.912719 30204 net.cpp:131] Top shape: 1 1 1 7 (7)
I0123 11:51:52.912720 30204 net.cpp:139] Memory required for data: 98374156
I0123 11:51:52.912722 30204 net.cpp:202] detection_out does not need backward computation.
I0123 11:51:52.912729 30204 net.cpp:202] conv20 does not need backward computation.
I0123 11:51:52.912730 30204 net.cpp:202] conv19 does not need backward computation.
I0123 11:51:52.912734 30204 net.cpp:202] conv18_new/relu does not need backward computation.
I0123 11:51:52.912736 30204 net.cpp:202] conv18_new does not need backward computation.
I0123 11:51:52.912739 30204 net.cpp:202] conv18/dw/relu does not need backward computation.
I0123 11:51:52.912741 30204 net.cpp:202] conv18/dw does not need backward computation.
I0123 11:51:52.912744 30204 net.cpp:202] conv17/sum does not need backward computation.
I0123 11:51:52.912746 30204 net.cpp:202] conv17/relu does not need backward computation.
I0123 11:51:52.912748 30204 net.cpp:202] conv17 does not need backward computation.
I0123 11:51:52.912751 30204 net.cpp:202] conv17/dw/relu does not need backward computation.
I0123 11:51:52.912753 30204 net.cpp:202] conv17/dw does not need backward computation.
I0123 11:51:52.912755 30204 net.cpp:202] maxpool does not need backward computation.
I0123 11:51:52.912758 30204 net.cpp:202] upsample does not need backward computation.
I0123 11:51:52.912760 30204 net.cpp:202] conv15_conv15/relu_0_split does not need backward computation.
I0123 11:51:52.912763 30204 net.cpp:202] conv15/relu does not need backward computation.
I0123 11:51:52.912766 30204 net.cpp:202] conv15 does not need backward computation.
I0123 11:51:52.912770 30204 net.cpp:202] conv15/dw/relu does not need backward computation.
I0123 11:51:52.912771 30204 net.cpp:202] conv15/dw does not need backward computation.
I0123 11:51:52.912773 30204 net.cpp:202] conv13/relu does not need backward computation.
I0123 11:51:52.912794 30204 net.cpp:202] conv13 does not need backward computation.
I0123 11:51:52.912806 30204 net.cpp:202] conv13/dw/relu does not need backward computation.
I0123 11:51:52.912809 30204 net.cpp:202] conv13/dw does not need backward computation.
I0123 11:51:52.912811 30204 net.cpp:202] conv12/relu does not need backward computation.
I0123 11:51:52.912814 30204 net.cpp:202] conv12 does not need backward computation.
I0123 11:51:52.912817 30204 net.cpp:202] conv12/dw/relu does not need backward computation.
I0123 11:51:52.912819 30204 net.cpp:202] conv12/dw does not need backward computation.
I0123 11:51:52.912822 30204 net.cpp:202] conv11_conv11/relu_0_split does not need backward computation.
I0123 11:51:52.912825 30204 net.cpp:202] conv11/relu does not need backward computation.
I0123 11:51:52.912840 30204 net.cpp:202] conv11 does not need backward computation.
I0123 11:51:52.912842 30204 net.cpp:202] conv11/dw/relu does not need backward computation.
I0123 11:51:52.912845 30204 net.cpp:202] conv11/dw does not need backward computation.
I0123 11:51:52.912847 30204 net.cpp:202] conv10/relu does not need backward computation.
I0123 11:51:52.912864 30204 net.cpp:202] conv10 does not need backward computation.
I0123 11:51:52.912866 30204 net.cpp:202] conv10/dw/relu does not need backward computation.
I0123 11:51:52.912869 30204 net.cpp:202] conv10/dw does not need backward computation.
I0123 11:51:52.912871 30204 net.cpp:202] conv9/relu does not need backward computation.
I0123 11:51:52.912874 30204 net.cpp:202] conv9 does not need backward computation.
I0123 11:51:52.912876 30204 net.cpp:202] conv9/dw/relu does not need backward computation.
I0123 11:51:52.912879 30204 net.cpp:202] conv9/dw does not need backward computation.
I0123 11:51:52.912883 30204 net.cpp:202] conv8/relu does not need backward computation.
I0123 11:51:52.912884 30204 net.cpp:202] conv8 does not need backward computation.
I0123 11:51:52.912887 30204 net.cpp:202] conv8/dw/relu does not need backward computation.
I0123 11:51:52.912889 30204 net.cpp:202] conv8/dw does not need backward computation.
I0123 11:51:52.912892 30204 net.cpp:202] conv7/relu does not need backward computation.
I0123 11:51:52.912894 30204 net.cpp:202] conv7 does not need backward computation.
I0123 11:51:52.912897 30204 net.cpp:202] conv7/dw/relu does not need backward computation.
I0123 11:51:52.912899 30204 net.cpp:202] conv7/dw does not need backward computation.
I0123 11:51:52.912902 30204 net.cpp:202] conv6/relu does not need backward computation.
I0123 11:51:52.912904 30204 net.cpp:202] conv6 does not need backward computation.
I0123 11:51:52.912907 30204 net.cpp:202] conv6/dw/relu does not need backward computation.
I0123 11:51:52.912909 30204 net.cpp:202] conv6/dw does not need backward computation.
I0123 11:51:52.912912 30204 net.cpp:202] conv5/relu does not need backward computation.
I0123 11:51:52.912915 30204 net.cpp:202] conv5 does not need backward computation.
I0123 11:51:52.912919 30204 net.cpp:202] conv5/dw/relu does not need backward computation.
I0123 11:51:52.912925 30204 net.cpp:202] conv5/dw does not need backward computation.
I0123 11:51:52.912927 30204 net.cpp:202] conv4/relu does not need backward computation.
I0123 11:51:52.912930 30204 net.cpp:202] conv4 does not need backward computation.
I0123 11:51:52.912932 30204 net.cpp:202] conv4/dw/relu does not need backward computation.
I0123 11:51:52.912935 30204 net.cpp:202] conv4/dw does not need backward computation.
I0123 11:51:52.912937 30204 net.cpp:202] conv3/relu does not need backward computation.
I0123 11:51:52.912940 30204 net.cpp:202] conv3 does not need backward computation.
I0123 11:51:52.912942 30204 net.cpp:202] conv3/dw/relu does not need backward computation.
I0123 11:51:52.912945 30204 net.cpp:202] conv3/dw does not need backward computation.
I0123 11:51:52.912947 30204 net.cpp:202] conv2/relu does not need backward computation.
I0123 11:51:52.912950 30204 net.cpp:202] conv2 does not need backward computation.
I0123 11:51:52.912952 30204 net.cpp:202] conv2/dw/relu does not need backward computation.
I0123 11:51:52.912961 30204 net.cpp:202] conv2/dw does not need backward computation.
I0123 11:51:52.912963 30204 net.cpp:202] conv1/relu does not need backward computation.
I0123 11:51:52.912966 30204 net.cpp:202] conv1 does not need backward computation.
I0123 11:51:52.912968 30204 net.cpp:202] conv1/dw/relu does not need backward computation.
I0123 11:51:52.912971 30204 net.cpp:202] conv1/dw does not need backward computation.
I0123 11:51:52.912973 30204 net.cpp:202] conv0/relu does not need backward computation.
I0123 11:51:52.912976 30204 net.cpp:202] conv0 does not need backward computation.
I0123 11:51:52.912978 30204 net.cpp:202] data does not need backward computation.
I0123 11:51:52.912981 30204 net.cpp:244] This network produces output detection_out
I0123 11:51:52.913007 30204 net.cpp:257] Network initialization done.
I0123 11:51:52.913137 30204 caffe.cpp:367] Performing Forward
I0123 11:51:52.923431 30204 caffe.cpp:372] Initial loss: 0
I0123 11:51:52.923449 30204 caffe.cpp:373] Performing Backward
I0123 11:51:52.923452 30204 caffe.cpp:381] *** Benchmark begins ***
I0123 11:51:52.923454 30204 caffe.cpp:382] Testing for 50 iterations.
I0123 11:51:52.945381 30204 caffe.cpp:410] Iteration: 1 forward-backward time: 21.8826 ms.
I0123 11:51:52.963083 30204 caffe.cpp:410] Iteration: 2 forward-backward time: 17.666 ms.
I0123 11:51:52.980804 30204 caffe.cpp:410] Iteration: 3 forward-backward time: 17.7024 ms.
I0123 11:51:52.998692 30204 caffe.cpp:410] Iteration: 4 forward-backward time: 17.8685 ms.
I0123 11:51:53.016561 30204 caffe.cpp:410] Iteration: 5 forward-backward time: 17.8524 ms.
I0123 11:51:53.034518 30204 caffe.cpp:410] Iteration: 6 forward-backward time: 17.9383 ms.
I0123 11:51:53.052381 30204 caffe.cpp:410] Iteration: 7 forward-backward time: 17.8462 ms.
I0123 11:51:53.070087 30204 caffe.cpp:410] Iteration: 8 forward-backward time: 17.6884 ms.
I0123 11:51:53.087967 30204 caffe.cpp:410] Iteration: 9 forward-backward time: 17.8616 ms.
I0123 11:51:53.105681 30204 caffe.cpp:410] Iteration: 10 forward-backward time: 17.6966 ms.
I0123 11:51:53.123064 30204 caffe.cpp:410] Iteration: 11 forward-backward time: 17.364 ms.
I0123 11:51:53.140018 30204 caffe.cpp:410] Iteration: 12 forward-backward time: 16.938 ms.
I0123 11:51:53.156989 30204 caffe.cpp:410] Iteration: 13 forward-backward time: 16.9388 ms.
I0123 11:51:53.173944 30204 caffe.cpp:410] Iteration: 14 forward-backward time: 16.9369 ms.
I0123 11:51:53.191093 30204 caffe.cpp:410] Iteration: 15 forward-backward time: 17.1315 ms.
I0123 11:51:53.208056 30204 caffe.cpp:410] Iteration: 16 forward-backward time: 16.9443 ms.
I0123 11:51:53.225010 30204 caffe.cpp:410] Iteration: 17 forward-backward time: 16.9361 ms.
I0123 11:51:53.241968 30204 caffe.cpp:410] Iteration: 18 forward-backward time: 16.9407 ms.
I0123 11:51:53.258926 30204 caffe.cpp:410] Iteration: 19 forward-backward time: 16.94 ms.
I0123 11:51:53.275642 30204 caffe.cpp:410] Iteration: 20 forward-backward time: 16.6982 ms.
I0123 11:51:53.292431 30204 caffe.cpp:410] Iteration: 21 forward-backward time: 16.7704 ms.
I0123 11:51:53.308862 30204 caffe.cpp:410] Iteration: 22 forward-backward time: 16.4126 ms.
I0123 11:51:53.325284 30204 caffe.cpp:410] Iteration: 23 forward-backward time: 16.4044 ms.
I0123 11:51:53.341882 30204 caffe.cpp:410] Iteration: 24 forward-backward time: 16.5816 ms.
I0123 11:51:53.358466 30204 caffe.cpp:410] Iteration: 25 forward-backward time: 16.5663 ms.
I0123 11:51:53.374927 30204 caffe.cpp:410] Iteration: 26 forward-backward time: 16.4414 ms.
I0123 11:51:53.391531 30204 caffe.cpp:410] Iteration: 27 forward-backward time: 16.5875 ms.
I0123 11:51:53.407958 30204 caffe.cpp:410] Iteration: 28 forward-backward time: 16.4095 ms.
I0123 11:51:53.424530 30204 caffe.cpp:410] Iteration: 29 forward-backward time: 16.5542 ms.
I0123 11:51:53.440917 30204 caffe.cpp:410] Iteration: 30 forward-backward time: 16.3693 ms.
I0123 11:51:53.457499 30204 caffe.cpp:410] Iteration: 31 forward-backward time: 16.5642 ms.
I0123 11:51:53.474097 30204 caffe.cpp:410] Iteration: 32 forward-backward time: 16.5811 ms.
I0123 11:51:53.490505 30204 caffe.cpp:410] Iteration: 33 forward-backward time: 16.3791 ms.
I0123 11:51:53.507117 30204 caffe.cpp:410] Iteration: 34 forward-backward time: 16.5934 ms.
I0123 11:51:53.523710 30204 caffe.cpp:410] Iteration: 35 forward-backward time: 16.5759 ms.
I0123 11:51:53.540263 30204 caffe.cpp:410] Iteration: 36 forward-backward time: 16.5364 ms.
I0123 11:51:53.556679 30204 caffe.cpp:410] Iteration: 37 forward-backward time: 16.3973 ms.
I0123 11:51:53.573257 30204 caffe.cpp:410] Iteration: 38 forward-backward time: 16.5608 ms.
I0123 11:51:53.589828 30204 caffe.cpp:410] Iteration: 39 forward-backward time: 16.5528 ms.
I0123 11:51:53.606402 30204 caffe.cpp:410] Iteration: 40 forward-backward time: 16.5578 ms.
I0123 11:51:53.622990 30204 caffe.cpp:410] Iteration: 41 forward-backward time: 16.5708 ms.
I0123 11:51:53.639407 30204 caffe.cpp:410] Iteration: 42 forward-backward time: 16.3987 ms.
I0123 11:51:53.655994 30204 caffe.cpp:410] Iteration: 43 forward-backward time: 16.5688 ms.
I0123 11:51:53.672598 30204 caffe.cpp:410] Iteration: 44 forward-backward time: 16.5858 ms.
I0123 11:51:53.689179 30204 caffe.cpp:410] Iteration: 45 forward-backward time: 16.5628 ms.
I0123 11:51:53.705761 30204 caffe.cpp:410] Iteration: 46 forward-backward time: 16.5648 ms.
I0123 11:51:53.722190 30204 caffe.cpp:410] Iteration: 47 forward-backward time: 16.4111 ms.
I0123 11:51:53.738677 30204 caffe.cpp:410] Iteration: 48 forward-backward time: 16.4687 ms.
I0123 11:51:53.755249 30204 caffe.cpp:410] Iteration: 49 forward-backward time: 16.5539 ms.
I0123 11:51:53.771667 30204 caffe.cpp:410] Iteration: 50 forward-backward time: 16.4003 ms.
I0123 11:51:53.771677 30204 caffe.cpp:413] Average time per layer: 
I0123 11:51:53.771683 30204 caffe.cpp:416]       data	forward: 0.00225728 ms.
I0123 11:51:53.771687 30204 caffe.cpp:419]       data	backward: 0.00112448 ms.
I0123 11:51:53.771689 30204 caffe.cpp:416]      conv0	forward: 0.133809 ms.
I0123 11:51:53.771692 30204 caffe.cpp:419]      conv0	backward: 0.281809 ms.
I0123 11:51:53.771694 30204 caffe.cpp:416] conv0/relu	forward: 0.0300992 ms.
I0123 11:51:53.771697 30204 caffe.cpp:419] conv0/relu	backward: 0.0010912 ms.
I0123 11:51:53.771713 30204 caffe.cpp:416]   conv1/dw	forward: 0.165847 ms.
I0123 11:51:53.771715 30204 caffe.cpp:419]   conv1/dw	backward: 3.96916 ms.
I0123 11:51:53.771718 30204 caffe.cpp:416] conv1/dw/relu	forward: 0.0309613 ms.
I0123 11:51:53.771721 30204 caffe.cpp:419] conv1/dw/relu	backward: 0.00111104 ms.
I0123 11:51:53.771723 30204 caffe.cpp:416]      conv1	forward: 0.154948 ms.
I0123 11:51:53.771725 30204 caffe.cpp:419]      conv1	backward: 0.284036 ms.
I0123 11:51:53.771728 30204 caffe.cpp:416] conv1/relu	forward: 0.0581101 ms.
I0123 11:51:53.771730 30204 caffe.cpp:419] conv1/relu	backward: 0.00108416 ms.
I0123 11:51:53.771733 30204 caffe.cpp:416]   conv2/dw	forward: 0.0962733 ms.
I0123 11:51:53.771735 30204 caffe.cpp:419]   conv2/dw	backward: 1.75532 ms.
I0123 11:51:53.771737 30204 caffe.cpp:416] conv2/dw/relu	forward: 0.0140941 ms.
I0123 11:51:53.771739 30204 caffe.cpp:419] conv2/dw/relu	backward: 0.00109056 ms.
I0123 11:51:53.771742 30204 caffe.cpp:416]      conv2	forward: 0.0756768 ms.
I0123 11:51:53.771744 30204 caffe.cpp:419]      conv2	backward: 0.117501 ms.
I0123 11:51:53.771746 30204 caffe.cpp:416] conv2/relu	forward: 0.0314381 ms.
I0123 11:51:53.771749 30204 caffe.cpp:419] conv2/relu	backward: 0.00112512 ms.
I0123 11:51:53.771751 30204 caffe.cpp:416]   conv3/dw	forward: 0.159251 ms.
I0123 11:51:53.771754 30204 caffe.cpp:419]   conv3/dw	backward: 1.66153 ms.
I0123 11:51:53.771756 30204 caffe.cpp:416] conv3/dw/relu	forward: 0.0311405 ms.
I0123 11:51:53.771772 30204 caffe.cpp:419] conv3/dw/relu	backward: 0.00108992 ms.
I0123 11:51:53.771775 30204 caffe.cpp:416]      conv3	forward: 0.0879994 ms.
I0123 11:51:53.771777 30204 caffe.cpp:419]      conv3	backward: 0.119363 ms.
I0123 11:51:53.771780 30204 caffe.cpp:416] conv3/relu	forward: 0.0313626 ms.
I0123 11:51:53.771782 30204 caffe.cpp:419] conv3/relu	backward: 0.00105536 ms.
I0123 11:51:53.771785 30204 caffe.cpp:416]   conv4/dw	forward: 0.0468678 ms.
I0123 11:51:53.771797 30204 caffe.cpp:419]   conv4/dw	backward: 0.46902 ms.
I0123 11:51:53.771800 30204 caffe.cpp:416] conv4/dw/relu	forward: 0.00720896 ms.
I0123 11:51:53.771802 30204 caffe.cpp:419] conv4/dw/relu	backward: 0.00117248 ms.
I0123 11:51:53.771806 30204 caffe.cpp:416]      conv4	forward: 0.0568218 ms.
I0123 11:51:53.771808 30204 caffe.cpp:419]      conv4	backward: 0.0438125 ms.
I0123 11:51:53.771811 30204 caffe.cpp:416] conv4/relu	forward: 0.00858432 ms.
I0123 11:51:53.771813 30204 caffe.cpp:419] conv4/relu	backward: 0.001008 ms.
I0123 11:51:53.771816 30204 caffe.cpp:416]   conv5/dw	forward: 0.0642042 ms.
I0123 11:51:53.771818 30204 caffe.cpp:419]   conv5/dw	backward: 0.534426 ms.
I0123 11:51:53.771821 30204 caffe.cpp:416] conv5/dw/relu	forward: 0.0136922 ms.
I0123 11:51:53.771822 30204 caffe.cpp:419] conv5/dw/relu	backward: 0.001136 ms.
I0123 11:51:53.771826 30204 caffe.cpp:416]      conv5	forward: 0.0764653 ms.
I0123 11:51:53.771827 30204 caffe.cpp:419]      conv5	backward: 0.0635245 ms.
I0123 11:51:53.771831 30204 caffe.cpp:416] conv5/relu	forward: 0.008128 ms.
I0123 11:51:53.771832 30204 caffe.cpp:419] conv5/relu	backward: 0.00108864 ms.
I0123 11:51:53.771834 30204 caffe.cpp:416]   conv6/dw	forward: 0.0218963 ms.
I0123 11:51:53.771837 30204 caffe.cpp:419]   conv6/dw	backward: 0.149186 ms.
I0123 11:51:53.771839 30204 caffe.cpp:416] conv6/dw/relu	forward: 0.0047616 ms.
I0123 11:51:53.771842 30204 caffe.cpp:419] conv6/dw/relu	backward: 0.00108864 ms.
I0123 11:51:53.771844 30204 caffe.cpp:416]      conv6	forward: 0.0538637 ms.
I0123 11:51:53.771847 30204 caffe.cpp:419]      conv6	backward: 0.0354112 ms.
I0123 11:51:53.771849 30204 caffe.cpp:416] conv6/relu	forward: 0.00631232 ms.
I0123 11:51:53.771852 30204 caffe.cpp:419] conv6/relu	backward: 0.00110912 ms.
I0123 11:51:53.771854 30204 caffe.cpp:416]   conv7/dw	forward: 0.0305254 ms.
I0123 11:51:53.771857 30204 caffe.cpp:419]   conv7/dw	backward: 0.188056 ms.
I0123 11:51:53.771859 30204 caffe.cpp:416] conv7/dw/relu	forward: 0.00580672 ms.
I0123 11:51:53.771862 30204 caffe.cpp:419] conv7/dw/relu	backward: 0.00111616 ms.
I0123 11:51:53.771864 30204 caffe.cpp:416]      conv7	forward: 0.0762202 ms.
I0123 11:51:53.771867 30204 caffe.cpp:419]      conv7	backward: 0.0612339 ms.
I0123 11:51:53.771868 30204 caffe.cpp:416] conv7/relu	forward: 0.00615744 ms.
I0123 11:51:53.771872 30204 caffe.cpp:419] conv7/relu	backward: 0.00099776 ms.
I0123 11:51:53.771873 30204 caffe.cpp:416]   conv8/dw	forward: 0.0305472 ms.
I0123 11:51:53.771876 30204 caffe.cpp:419]   conv8/dw	backward: 0.185945 ms.
I0123 11:51:53.771878 30204 caffe.cpp:416] conv8/dw/relu	forward: 0.00578176 ms.
I0123 11:51:53.771880 30204 caffe.cpp:419] conv8/dw/relu	backward: 0.00107904 ms.
I0123 11:51:53.771883 30204 caffe.cpp:416]      conv8	forward: 0.071687 ms.
I0123 11:51:53.771885 30204 caffe.cpp:419]      conv8	backward: 0.0612851 ms.
I0123 11:51:53.771888 30204 caffe.cpp:416] conv8/relu	forward: 0.00651008 ms.
I0123 11:51:53.771890 30204 caffe.cpp:419] conv8/relu	backward: 0.0009952 ms.
I0123 11:51:53.771893 30204 caffe.cpp:416]   conv9/dw	forward: 0.0310016 ms.
I0123 11:51:53.771895 30204 caffe.cpp:419]   conv9/dw	backward: 0.188113 ms.
I0123 11:51:53.771898 30204 caffe.cpp:416] conv9/dw/relu	forward: 0.00586112 ms.
I0123 11:51:53.771900 30204 caffe.cpp:419] conv9/dw/relu	backward: 0.0011104 ms.
I0123 11:51:53.771903 30204 caffe.cpp:416]      conv9	forward: 0.0715763 ms.
I0123 11:51:53.771905 30204 caffe.cpp:419]      conv9	backward: 0.0609798 ms.
I0123 11:51:53.771908 30204 caffe.cpp:416] conv9/relu	forward: 0.00622464 ms.
I0123 11:51:53.771909 30204 caffe.cpp:419] conv9/relu	backward: 0.00109888 ms.
I0123 11:51:53.771912 30204 caffe.cpp:416]  conv10/dw	forward: 0.0305446 ms.
I0123 11:51:53.771914 30204 caffe.cpp:419]  conv10/dw	backward: 0.186113 ms.
I0123 11:51:53.771917 30204 caffe.cpp:416] conv10/dw/relu	forward: 0.0058816 ms.
I0123 11:51:53.771919 30204 caffe.cpp:419] conv10/dw/relu	backward: 0.00110144 ms.
I0123 11:51:53.771921 30204 caffe.cpp:416]     conv10	forward: 0.0722989 ms.
I0123 11:51:53.771929 30204 caffe.cpp:419]     conv10	backward: 0.0616486 ms.
I0123 11:51:53.771931 30204 caffe.cpp:416] conv10/relu	forward: 0.00621952 ms.
I0123 11:51:53.771934 30204 caffe.cpp:419] conv10/relu	backward: 0.00106496 ms.
I0123 11:51:53.771935 30204 caffe.cpp:416]  conv11/dw	forward: 0.0303571 ms.
I0123 11:51:53.771939 30204 caffe.cpp:419]  conv11/dw	backward: 0.189124 ms.
I0123 11:51:53.771940 30204 caffe.cpp:416] conv11/dw/relu	forward: 0.00584832 ms.
I0123 11:51:53.771944 30204 caffe.cpp:419] conv11/dw/relu	backward: 0.00107328 ms.
I0123 11:51:53.771945 30204 caffe.cpp:416]     conv11	forward: 0.0719328 ms.
I0123 11:51:53.771948 30204 caffe.cpp:419]     conv11	backward: 0.0623014 ms.
I0123 11:51:53.771950 30204 caffe.cpp:416] conv11/relu	forward: 0.00629184 ms.
I0123 11:51:53.771952 30204 caffe.cpp:419] conv11/relu	backward: 0.00100608 ms.
I0123 11:51:53.771955 30204 caffe.cpp:416] conv11_conv11/relu_0_split	forward: 0.00156096 ms.
I0123 11:51:53.771957 30204 caffe.cpp:419] conv11_conv11/relu_0_split	backward: 0.00107456 ms.
I0123 11:51:53.771960 30204 caffe.cpp:416]  conv12/dw	forward: 0.0148256 ms.
I0123 11:51:53.771962 30204 caffe.cpp:419]  conv12/dw	backward: 0.0620582 ms.
I0123 11:51:53.771965 30204 caffe.cpp:416] conv12/dw/relu	forward: 0.004656 ms.
I0123 11:51:53.771967 30204 caffe.cpp:419] conv12/dw/relu	backward: 0.00128128 ms.
I0123 11:51:53.771970 30204 caffe.cpp:416]     conv12	forward: 0.044217 ms.
I0123 11:51:53.771971 30204 caffe.cpp:419]     conv12	backward: 0.0492141 ms.
I0123 11:51:53.771975 30204 caffe.cpp:416] conv12/relu	forward: 0.00524288 ms.
I0123 11:51:53.771976 30204 caffe.cpp:419] conv12/relu	backward: 0.00100608 ms.
I0123 11:51:53.771980 30204 caffe.cpp:416]  conv13/dw	forward: 0.0190394 ms.
I0123 11:51:53.771981 30204 caffe.cpp:419]  conv13/dw	backward: 0.0589728 ms.
I0123 11:51:53.771983 30204 caffe.cpp:416] conv13/dw/relu	forward: 0.0049536 ms.
I0123 11:51:53.771986 30204 caffe.cpp:419] conv13/dw/relu	backward: 0.0010912 ms.
I0123 11:51:53.771988 30204 caffe.cpp:416]     conv13	forward: 0.0625958 ms.
I0123 11:51:53.771991 30204 caffe.cpp:419]     conv13	backward: 0.0696224 ms.
I0123 11:51:53.771993 30204 caffe.cpp:416] conv13/relu	forward: 0.00523136 ms.
I0123 11:51:53.771996 30204 caffe.cpp:419] conv13/relu	backward: 0.0013888 ms.
I0123 11:51:53.771998 30204 caffe.cpp:416]  conv15/dw	forward: 0.0194125 ms.
I0123 11:51:53.772001 30204 caffe.cpp:419]  conv15/dw	backward: 0.0588922 ms.
I0123 11:51:53.772003 30204 caffe.cpp:416] conv15/dw/relu	forward: 0.00502464 ms.
I0123 11:51:53.772006 30204 caffe.cpp:419] conv15/dw/relu	backward: 0.00106624 ms.
I0123 11:51:53.772008 30204 caffe.cpp:416]     conv15	forward: 0.0620122 ms.
I0123 11:51:53.772011 30204 caffe.cpp:419]     conv15	backward: 0.0682304 ms.
I0123 11:51:53.772016 30204 caffe.cpp:416] conv15/relu	forward: 0.00513664 ms.
I0123 11:51:53.772018 30204 caffe.cpp:419] conv15/relu	backward: 0.00100608 ms.
I0123 11:51:53.772020 30204 caffe.cpp:416] conv15_conv15/relu_0_split	forward: 0.00138752 ms.
I0123 11:51:53.772023 30204 caffe.cpp:419] conv15_conv15/relu_0_split	backward: 0.00100672 ms.
I0123 11:51:53.772025 30204 caffe.cpp:416]   upsample	forward: 1.36992 ms.
I0123 11:51:53.772028 30204 caffe.cpp:419]   upsample	backward: 0.00357376 ms.
I0123 11:51:53.772030 30204 caffe.cpp:416]    maxpool	forward: 0.0200288 ms.
I0123 11:51:53.772032 30204 caffe.cpp:419]    maxpool	backward: 0.00112064 ms.
I0123 11:51:53.772035 30204 caffe.cpp:416]  conv17/dw	forward: 0.0333133 ms.
I0123 11:51:53.772037 30204 caffe.cpp:419]  conv17/dw	backward: 0.185889 ms.
I0123 11:51:53.772040 30204 caffe.cpp:416] conv17/dw/relu	forward: 0.00626368 ms.
I0123 11:51:53.772042 30204 caffe.cpp:419] conv17/dw/relu	backward: 0.00097152 ms.
I0123 11:51:53.772045 30204 caffe.cpp:416]     conv17	forward: 0.072704 ms.
I0123 11:51:53.772047 30204 caffe.cpp:419]     conv17	backward: 0.0631725 ms.
I0123 11:51:53.772049 30204 caffe.cpp:416] conv17/relu	forward: 0.00620608 ms.
I0123 11:51:53.772053 30204 caffe.cpp:419] conv17/relu	backward: 0.00103552 ms.
I0123 11:51:53.772061 30204 caffe.cpp:416] conv17/sum	forward: 0.0189958 ms.
I0123 11:51:53.772064 30204 caffe.cpp:419] conv17/sum	backward: 0.00107456 ms.
I0123 11:51:53.772066 30204 caffe.cpp:416]  conv18/dw	forward: 0.0308358 ms.
I0123 11:51:53.772069 30204 caffe.cpp:419]  conv18/dw	backward: 0.186853 ms.
I0123 11:51:53.772071 30204 caffe.cpp:416] conv18/dw/relu	forward: 0.00613824 ms.
I0123 11:51:53.772074 30204 caffe.cpp:419] conv18/dw/relu	backward: 0.00134144 ms.
I0123 11:51:53.772076 30204 caffe.cpp:416] conv18_new	forward: 0.118108 ms.
I0123 11:51:53.772079 30204 caffe.cpp:419] conv18_new	backward: 0.100947 ms.
I0123 11:51:53.772081 30204 caffe.cpp:416] conv18_new/relu	forward: 0.00836672 ms.
I0123 11:51:53.772083 30204 caffe.cpp:419] conv18_new/relu	backward: 0.00108544 ms.
I0123 11:51:53.772086 30204 caffe.cpp:416]     conv19	forward: 0.0330803 ms.
I0123 11:51:53.772089 30204 caffe.cpp:419]     conv19	backward: 0.0165082 ms.
I0123 11:51:53.772091 30204 caffe.cpp:416]     conv20	forward: 0.0333779 ms.
I0123 11:51:53.772094 30204 caffe.cpp:419]     conv20	backward: 0.0317971 ms.
I0123 11:51:53.772095 30204 caffe.cpp:416] detection_out	forward: 0.31801 ms.
I0123 11:51:53.772099 30204 caffe.cpp:419] detection_out	backward: 0.00133248 ms.
I0123 11:51:53.772104 30204 caffe.cpp:424] Average Forward pass: 4.79811 ms.
I0123 11:51:53.772107 30204 caffe.cpp:426] Average Backward pass: 12.1352 ms.
I0123 11:51:53.772112 30204 caffe.cpp:428] Average Forward-Backward: 16.9721 ms.
I0123 11:51:53.772119 30204 caffe.cpp:430] Total Time: 848.606 ms.
I0123 11:51:53.772121 30204 caffe.cpp:431] *** Benchmark ends ***