test-416.log

I0123 11:52:42.518596 30213 caffe.cpp:355] Use GPU with device ID 0
I0123 11:52:42.700732 30213 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: 416
      dim: 416
    }
  }
}
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 11:52:42.700960 30213 layer_factory.hpp:77] Creating layer data
I0123 11:52:42.700973 30213 net.cpp:86] Creating Layer data
I0123 11:52:42.700978 30213 net.cpp:382] data -> data
I0123 11:52:42.711917 30213 net.cpp:124] Setting up data
I0123 11:52:42.711941 30213 net.cpp:131] Top shape: 1 3 416 416 (519168)
I0123 11:52:42.711958 30213 net.cpp:139] Memory required for data: 2076672
I0123 11:52:42.711966 30213 layer_factory.hpp:77] Creating layer conv0
I0123 11:52:42.711984 30213 net.cpp:86] Creating Layer conv0
I0123 11:52:42.711989 30213 net.cpp:408] conv0 <- data
I0123 11:52:42.711995 30213 net.cpp:382] conv0 -> conv0
I0123 11:52:42.713248 30213 net.cpp:124] Setting up conv0
I0123 11:52:42.713260 30213 net.cpp:131] Top shape: 1 32 208 208 (1384448)
I0123 11:52:42.713263 30213 net.cpp:139] Memory required for data: 7614464
I0123 11:52:42.713291 30213 layer_factory.hpp:77] Creating layer conv0/relu
I0123 11:52:42.713299 30213 net.cpp:86] Creating Layer conv0/relu
I0123 11:52:42.713301 30213 net.cpp:408] conv0/relu <- conv0
I0123 11:52:42.713305 30213 net.cpp:369] conv0/relu -> conv0 (in-place)
I0123 11:52:42.713313 30213 net.cpp:124] Setting up conv0/relu
I0123 11:52:42.713317 30213 net.cpp:131] Top shape: 1 32 208 208 (1384448)
I0123 11:52:42.713320 30213 net.cpp:139] Memory required for data: 13152256
I0123 11:52:42.713321 30213 layer_factory.hpp:77] Creating layer conv1/dw
I0123 11:52:42.713327 30213 net.cpp:86] Creating Layer conv1/dw
I0123 11:52:42.713344 30213 net.cpp:408] conv1/dw <- conv0
I0123 11:52:42.713348 30213 net.cpp:382] conv1/dw -> conv1/dw
I0123 11:52:42.713544 30213 net.cpp:124] Setting up conv1/dw
I0123 11:52:42.713551 30213 net.cpp:131] Top shape: 1 32 208 208 (1384448)
I0123 11:52:42.713553 30213 net.cpp:139] Memory required for data: 18690048
I0123 11:52:42.713596 30213 layer_factory.hpp:77] Creating layer conv1/dw/relu
I0123 11:52:42.713600 30213 net.cpp:86] Creating Layer conv1/dw/relu
I0123 11:52:42.713603 30213 net.cpp:408] conv1/dw/relu <- conv1/dw
I0123 11:52:42.713606 30213 net.cpp:369] conv1/dw/relu -> conv1/dw (in-place)
I0123 11:52:42.713611 30213 net.cpp:124] Setting up conv1/dw/relu
I0123 11:52:42.713614 30213 net.cpp:131] Top shape: 1 32 208 208 (1384448)
I0123 11:52:42.713616 30213 net.cpp:139] Memory required for data: 24227840
I0123 11:52:42.713618 30213 layer_factory.hpp:77] Creating layer conv1
I0123 11:52:42.713623 30213 net.cpp:86] Creating Layer conv1
I0123 11:52:42.713625 30213 net.cpp:408] conv1 <- conv1/dw
I0123 11:52:42.713629 30213 net.cpp:382] conv1 -> conv1
I0123 11:52:42.714327 30213 net.cpp:124] Setting up conv1
I0123 11:52:42.714337 30213 net.cpp:131] Top shape: 1 64 208 208 (2768896)
I0123 11:52:42.714340 30213 net.cpp:139] Memory required for data: 35303424
I0123 11:52:42.714359 30213 layer_factory.hpp:77] Creating layer conv1/relu
I0123 11:52:42.714365 30213 net.cpp:86] Creating Layer conv1/relu
I0123 11:52:42.714367 30213 net.cpp:408] conv1/relu <- conv1
I0123 11:52:42.714370 30213 net.cpp:369] conv1/relu -> conv1 (in-place)
I0123 11:52:42.714375 30213 net.cpp:124] Setting up conv1/relu
I0123 11:52:42.714377 30213 net.cpp:131] Top shape: 1 64 208 208 (2768896)
I0123 11:52:42.714380 30213 net.cpp:139] Memory required for data: 46379008
I0123 11:52:42.714381 30213 layer_factory.hpp:77] Creating layer conv2/dw
I0123 11:52:42.714386 30213 net.cpp:86] Creating Layer conv2/dw
I0123 11:52:42.714390 30213 net.cpp:408] conv2/dw <- conv1
I0123 11:52:42.714393 30213 net.cpp:382] conv2/dw -> conv2/dw
I0123 11:52:42.715095 30213 net.cpp:124] Setting up conv2/dw
I0123 11:52:42.715104 30213 net.cpp:131] Top shape: 1 64 104 104 (692224)
I0123 11:52:42.715106 30213 net.cpp:139] Memory required for data: 49147904
I0123 11:52:42.715111 30213 layer_factory.hpp:77] Creating layer conv2/dw/relu
I0123 11:52:42.715131 30213 net.cpp:86] Creating Layer conv2/dw/relu
I0123 11:52:42.715133 30213 net.cpp:408] conv2/dw/relu <- conv2/dw
I0123 11:52:42.715137 30213 net.cpp:369] conv2/dw/relu -> conv2/dw (in-place)
I0123 11:52:42.715140 30213 net.cpp:124] Setting up conv2/dw/relu
I0123 11:52:42.715144 30213 net.cpp:131] Top shape: 1 64 104 104 (692224)
I0123 11:52:42.715147 30213 net.cpp:139] Memory required for data: 51916800
I0123 11:52:42.715148 30213 layer_factory.hpp:77] Creating layer conv2
I0123 11:52:42.715153 30213 net.cpp:86] Creating Layer conv2
I0123 11:52:42.715157 30213 net.cpp:408] conv2 <- conv2/dw
I0123 11:52:42.715160 30213 net.cpp:382] conv2 -> conv2
I0123 11:52:42.715425 30213 net.cpp:124] Setting up conv2
I0123 11:52:42.715430 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.715432 30213 net.cpp:139] Memory required for data: 57454592
I0123 11:52:42.715437 30213 layer_factory.hpp:77] Creating layer conv2/relu
I0123 11:52:42.715440 30213 net.cpp:86] Creating Layer conv2/relu
I0123 11:52:42.715456 30213 net.cpp:408] conv2/relu <- conv2
I0123 11:52:42.715461 30213 net.cpp:369] conv2/relu -> conv2 (in-place)
I0123 11:52:42.715464 30213 net.cpp:124] Setting up conv2/relu
I0123 11:52:42.715467 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.715469 30213 net.cpp:139] Memory required for data: 62992384
I0123 11:52:42.715471 30213 layer_factory.hpp:77] Creating layer conv3/dw
I0123 11:52:42.715477 30213 net.cpp:86] Creating Layer conv3/dw
I0123 11:52:42.715481 30213 net.cpp:408] conv3/dw <- conv2
I0123 11:52:42.715483 30213 net.cpp:382] conv3/dw -> conv3/dw
I0123 11:52:42.715682 30213 net.cpp:124] Setting up conv3/dw
I0123 11:52:42.715687 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.715689 30213 net.cpp:139] Memory required for data: 68530176
I0123 11:52:42.715692 30213 layer_factory.hpp:77] Creating layer conv3/dw/relu
I0123 11:52:42.715698 30213 net.cpp:86] Creating Layer conv3/dw/relu
I0123 11:52:42.715701 30213 net.cpp:408] conv3/dw/relu <- conv3/dw
I0123 11:52:42.715714 30213 net.cpp:369] conv3/dw/relu -> conv3/dw (in-place)
I0123 11:52:42.715718 30213 net.cpp:124] Setting up conv3/dw/relu
I0123 11:52:42.715721 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.715723 30213 net.cpp:139] Memory required for data: 74067968
I0123 11:52:42.715739 30213 layer_factory.hpp:77] Creating layer conv3
I0123 11:52:42.715744 30213 net.cpp:86] Creating Layer conv3
I0123 11:52:42.715747 30213 net.cpp:408] conv3 <- conv3/dw
I0123 11:52:42.715751 30213 net.cpp:382] conv3 -> conv3
I0123 11:52:42.716037 30213 net.cpp:124] Setting up conv3
I0123 11:52:42.716042 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.716044 30213 net.cpp:139] Memory required for data: 79605760
I0123 11:52:42.716048 30213 layer_factory.hpp:77] Creating layer conv3/relu
I0123 11:52:42.716053 30213 net.cpp:86] Creating Layer conv3/relu
I0123 11:52:42.716055 30213 net.cpp:408] conv3/relu <- conv3
I0123 11:52:42.716058 30213 net.cpp:369] conv3/relu -> conv3 (in-place)
I0123 11:52:42.716063 30213 net.cpp:124] Setting up conv3/relu
I0123 11:52:42.716064 30213 net.cpp:131] Top shape: 1 128 104 104 (1384448)
I0123 11:52:42.716068 30213 net.cpp:139] Memory required for data: 85143552
I0123 11:52:42.716070 30213 layer_factory.hpp:77] Creating layer conv4/dw
I0123 11:52:42.716074 30213 net.cpp:86] Creating Layer conv4/dw
I0123 11:52:42.716078 30213 net.cpp:408] conv4/dw <- conv3
I0123 11:52:42.716094 30213 net.cpp:382] conv4/dw -> conv4/dw
I0123 11:52:42.716249 30213 net.cpp:124] Setting up conv4/dw
I0123 11:52:42.716254 30213 net.cpp:131] Top shape: 1 128 52 52 (346112)
I0123 11:52:42.716256 30213 net.cpp:139] Memory required for data: 86528000
I0123 11:52:42.716260 30213 layer_factory.hpp:77] Creating layer conv4/dw/relu
I0123 11:52:42.716264 30213 net.cpp:86] Creating Layer conv4/dw/relu
I0123 11:52:42.716269 30213 net.cpp:408] conv4/dw/relu <- conv4/dw
I0123 11:52:42.716271 30213 net.cpp:369] conv4/dw/relu -> conv4/dw (in-place)
I0123 11:52:42.716274 30213 net.cpp:124] Setting up conv4/dw/relu
I0123 11:52:42.716279 30213 net.cpp:131] Top shape: 1 128 52 52 (346112)
I0123 11:52:42.716280 30213 net.cpp:139] Memory required for data: 87912448
I0123 11:52:42.716282 30213 layer_factory.hpp:77] Creating layer conv4
I0123 11:52:42.716287 30213 net.cpp:86] Creating Layer conv4
I0123 11:52:42.716290 30213 net.cpp:408] conv4 <- conv4/dw
I0123 11:52:42.716308 30213 net.cpp:382] conv4 -> conv4
I0123 11:52:42.716665 30213 net.cpp:124] Setting up conv4
I0123 11:52:42.716670 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.716673 30213 net.cpp:139] Memory required for data: 90681344
I0123 11:52:42.716677 30213 layer_factory.hpp:77] Creating layer conv4/relu
I0123 11:52:42.716682 30213 net.cpp:86] Creating Layer conv4/relu
I0123 11:52:42.716684 30213 net.cpp:408] conv4/relu <- conv4
I0123 11:52:42.716687 30213 net.cpp:369] conv4/relu -> conv4 (in-place)
I0123 11:52:42.716691 30213 net.cpp:124] Setting up conv4/relu
I0123 11:52:42.716693 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.716696 30213 net.cpp:139] Memory required for data: 93450240
I0123 11:52:42.716697 30213 layer_factory.hpp:77] Creating layer conv5/dw
I0123 11:52:42.716703 30213 net.cpp:86] Creating Layer conv5/dw
I0123 11:52:42.716706 30213 net.cpp:408] conv5/dw <- conv4
I0123 11:52:42.716723 30213 net.cpp:382] conv5/dw -> conv5/dw
I0123 11:52:42.716923 30213 net.cpp:124] Setting up conv5/dw
I0123 11:52:42.716928 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.716930 30213 net.cpp:139] Memory required for data: 96219136
I0123 11:52:42.716933 30213 layer_factory.hpp:77] Creating layer conv5/dw/relu
I0123 11:52:42.716938 30213 net.cpp:86] Creating Layer conv5/dw/relu
I0123 11:52:42.716940 30213 net.cpp:408] conv5/dw/relu <- conv5/dw
I0123 11:52:42.716943 30213 net.cpp:369] conv5/dw/relu -> conv5/dw (in-place)
I0123 11:52:42.716945 30213 net.cpp:124] Setting up conv5/dw/relu
I0123 11:52:42.716948 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.716950 30213 net.cpp:139] Memory required for data: 98988032
I0123 11:52:42.716959 30213 layer_factory.hpp:77] Creating layer conv5
I0123 11:52:42.716965 30213 net.cpp:86] Creating Layer conv5
I0123 11:52:42.716967 30213 net.cpp:408] conv5 <- conv5/dw
I0123 11:52:42.716970 30213 net.cpp:382] conv5 -> conv5
I0123 11:52:42.717648 30213 net.cpp:124] Setting up conv5
I0123 11:52:42.717653 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.717655 30213 net.cpp:139] Memory required for data: 101756928
I0123 11:52:42.717658 30213 layer_factory.hpp:77] Creating layer conv5/relu
I0123 11:52:42.717675 30213 net.cpp:86] Creating Layer conv5/relu
I0123 11:52:42.717679 30213 net.cpp:408] conv5/relu <- conv5
I0123 11:52:42.717682 30213 net.cpp:369] conv5/relu -> conv5 (in-place)
I0123 11:52:42.717685 30213 net.cpp:124] Setting up conv5/relu
I0123 11:52:42.717689 30213 net.cpp:131] Top shape: 1 256 52 52 (692224)
I0123 11:52:42.717690 30213 net.cpp:139] Memory required for data: 104525824
I0123 11:52:42.717692 30213 layer_factory.hpp:77] Creating layer conv6/dw
I0123 11:52:42.717696 30213 net.cpp:86] Creating Layer conv6/dw
I0123 11:52:42.717698 30213 net.cpp:408] conv6/dw <- conv5
I0123 11:52:42.717702 30213 net.cpp:382] conv6/dw -> conv6/dw
I0123 11:52:42.717887 30213 net.cpp:124] Setting up conv6/dw
I0123 11:52:42.717892 30213 net.cpp:131] Top shape: 1 256 26 26 (173056)
I0123 11:52:42.717895 30213 net.cpp:139] Memory required for data: 105218048
I0123 11:52:42.717898 30213 layer_factory.hpp:77] Creating layer conv6/dw/relu
I0123 11:52:42.717902 30213 net.cpp:86] Creating Layer conv6/dw/relu
I0123 11:52:42.717905 30213 net.cpp:408] conv6/dw/relu <- conv6/dw
I0123 11:52:42.717908 30213 net.cpp:369] conv6/dw/relu -> conv6/dw (in-place)
I0123 11:52:42.717911 30213 net.cpp:124] Setting up conv6/dw/relu
I0123 11:52:42.717914 30213 net.cpp:131] Top shape: 1 256 26 26 (173056)
I0123 11:52:42.717916 30213 net.cpp:139] Memory required for data: 105910272
I0123 11:52:42.717918 30213 layer_factory.hpp:77] Creating layer conv6
I0123 11:52:42.717922 30213 net.cpp:86] Creating Layer conv6
I0123 11:52:42.717926 30213 net.cpp:408] conv6 <- conv6/dw
I0123 11:52:42.717942 30213 net.cpp:382] conv6 -> conv6
I0123 11:52:42.719455 30213 net.cpp:124] Setting up conv6
I0123 11:52:42.719465 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.719467 30213 net.cpp:139] Memory required for data: 107294720
I0123 11:52:42.719487 30213 layer_factory.hpp:77] Creating layer conv6/relu
I0123 11:52:42.719491 30213 net.cpp:86] Creating Layer conv6/relu
I0123 11:52:42.719493 30213 net.cpp:408] conv6/relu <- conv6
I0123 11:52:42.719496 30213 net.cpp:369] conv6/relu -> conv6 (in-place)
I0123 11:52:42.719501 30213 net.cpp:124] Setting up conv6/relu
I0123 11:52:42.719506 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.719507 30213 net.cpp:139] Memory required for data: 108679168
I0123 11:52:42.719509 30213 layer_factory.hpp:77] Creating layer conv7/dw
I0123 11:52:42.719514 30213 net.cpp:86] Creating Layer conv7/dw
I0123 11:52:42.719517 30213 net.cpp:408] conv7/dw <- conv6
I0123 11:52:42.719521 30213 net.cpp:382] conv7/dw -> conv7/dw
I0123 11:52:42.719761 30213 net.cpp:124] Setting up conv7/dw
I0123 11:52:42.719766 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.719769 30213 net.cpp:139] Memory required for data: 110063616
I0123 11:52:42.719772 30213 layer_factory.hpp:77] Creating layer conv7/dw/relu
I0123 11:52:42.719775 30213 net.cpp:86] Creating Layer conv7/dw/relu
I0123 11:52:42.719789 30213 net.cpp:408] conv7/dw/relu <- conv7/dw
I0123 11:52:42.719792 30213 net.cpp:369] conv7/dw/relu -> conv7/dw (in-place)
I0123 11:52:42.719795 30213 net.cpp:124] Setting up conv7/dw/relu
I0123 11:52:42.719799 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.719800 30213 net.cpp:139] Memory required for data: 111448064
I0123 11:52:42.719806 30213 layer_factory.hpp:77] Creating layer conv7
I0123 11:52:42.719810 30213 net.cpp:86] Creating Layer conv7
I0123 11:52:42.719813 30213 net.cpp:408] conv7 <- conv7/dw
I0123 11:52:42.719826 30213 net.cpp:382] conv7 -> conv7
I0123 11:52:42.721616 30213 net.cpp:124] Setting up conv7
I0123 11:52:42.721622 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.721624 30213 net.cpp:139] Memory required for data: 112832512
I0123 11:52:42.721628 30213 layer_factory.hpp:77] Creating layer conv7/relu
I0123 11:52:42.721643 30213 net.cpp:86] Creating Layer conv7/relu
I0123 11:52:42.721645 30213 net.cpp:408] conv7/relu <- conv7
I0123 11:52:42.721648 30213 net.cpp:369] conv7/relu -> conv7 (in-place)
I0123 11:52:42.721652 30213 net.cpp:124] Setting up conv7/relu
I0123 11:52:42.721654 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.721657 30213 net.cpp:139] Memory required for data: 114216960
I0123 11:52:42.721659 30213 layer_factory.hpp:77] Creating layer conv8/dw
I0123 11:52:42.721663 30213 net.cpp:86] Creating Layer conv8/dw
I0123 11:52:42.721666 30213 net.cpp:408] conv8/dw <- conv7
I0123 11:52:42.721671 30213 net.cpp:382] conv8/dw -> conv8/dw
I0123 11:52:42.721904 30213 net.cpp:124] Setting up conv8/dw
I0123 11:52:42.721909 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.721911 30213 net.cpp:139] Memory required for data: 115601408
I0123 11:52:42.721915 30213 layer_factory.hpp:77] Creating layer conv8/dw/relu
I0123 11:52:42.721932 30213 net.cpp:86] Creating Layer conv8/dw/relu
I0123 11:52:42.721935 30213 net.cpp:408] conv8/dw/relu <- conv8/dw
I0123 11:52:42.721938 30213 net.cpp:369] conv8/dw/relu -> conv8/dw (in-place)
I0123 11:52:42.721941 30213 net.cpp:124] Setting up conv8/dw/relu
I0123 11:52:42.721945 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.721946 30213 net.cpp:139] Memory required for data: 116985856
I0123 11:52:42.721948 30213 layer_factory.hpp:77] Creating layer conv8
I0123 11:52:42.721953 30213 net.cpp:86] Creating Layer conv8
I0123 11:52:42.721956 30213 net.cpp:408] conv8 <- conv8/dw
I0123 11:52:42.721959 30213 net.cpp:382] conv8 -> conv8
I0123 11:52:42.724293 30213 net.cpp:124] Setting up conv8
I0123 11:52:42.724304 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.724306 30213 net.cpp:139] Memory required for data: 118370304
I0123 11:52:42.724328 30213 layer_factory.hpp:77] Creating layer conv8/relu
I0123 11:52:42.724334 30213 net.cpp:86] Creating Layer conv8/relu
I0123 11:52:42.724337 30213 net.cpp:408] conv8/relu <- conv8
I0123 11:52:42.724340 30213 net.cpp:369] conv8/relu -> conv8 (in-place)
I0123 11:52:42.724345 30213 net.cpp:124] Setting up conv8/relu
I0123 11:52:42.724349 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.724350 30213 net.cpp:139] Memory required for data: 119754752
I0123 11:52:42.724352 30213 layer_factory.hpp:77] Creating layer conv9/dw
I0123 11:52:42.724356 30213 net.cpp:86] Creating Layer conv9/dw
I0123 11:52:42.724360 30213 net.cpp:408] conv9/dw <- conv8
I0123 11:52:42.724365 30213 net.cpp:382] conv9/dw -> conv9/dw
I0123 11:52:42.724606 30213 net.cpp:124] Setting up conv9/dw
I0123 11:52:42.724611 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.724614 30213 net.cpp:139] Memory required for data: 121139200
I0123 11:52:42.724617 30213 layer_factory.hpp:77] Creating layer conv9/dw/relu
I0123 11:52:42.724634 30213 net.cpp:86] Creating Layer conv9/dw/relu
I0123 11:52:42.724637 30213 net.cpp:408] conv9/dw/relu <- conv9/dw
I0123 11:52:42.724642 30213 net.cpp:369] conv9/dw/relu -> conv9/dw (in-place)
I0123 11:52:42.724645 30213 net.cpp:124] Setting up conv9/dw/relu
I0123 11:52:42.724648 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.724650 30213 net.cpp:139] Memory required for data: 122523648
I0123 11:52:42.724653 30213 layer_factory.hpp:77] Creating layer conv9
I0123 11:52:42.724658 30213 net.cpp:86] Creating Layer conv9
I0123 11:52:42.724660 30213 net.cpp:408] conv9 <- conv9/dw
I0123 11:52:42.724663 30213 net.cpp:382] conv9 -> conv9
I0123 11:52:42.726451 30213 net.cpp:124] Setting up conv9
I0123 11:52:42.726456 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.726459 30213 net.cpp:139] Memory required for data: 123908096
I0123 11:52:42.726487 30213 layer_factory.hpp:77] Creating layer conv9/relu
I0123 11:52:42.726492 30213 net.cpp:86] Creating Layer conv9/relu
I0123 11:52:42.726495 30213 net.cpp:408] conv9/relu <- conv9
I0123 11:52:42.726497 30213 net.cpp:369] conv9/relu -> conv9 (in-place)
I0123 11:52:42.726501 30213 net.cpp:124] Setting up conv9/relu
I0123 11:52:42.726505 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.726508 30213 net.cpp:139] Memory required for data: 125292544
I0123 11:52:42.726511 30213 layer_factory.hpp:77] Creating layer conv10/dw
I0123 11:52:42.726516 30213 net.cpp:86] Creating Layer conv10/dw
I0123 11:52:42.726518 30213 net.cpp:408] conv10/dw <- conv9
I0123 11:52:42.726536 30213 net.cpp:382] conv10/dw -> conv10/dw
I0123 11:52:42.726761 30213 net.cpp:124] Setting up conv10/dw
I0123 11:52:42.726766 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.726768 30213 net.cpp:139] Memory required for data: 126676992
I0123 11:52:42.726771 30213 layer_factory.hpp:77] Creating layer conv10/dw/relu
I0123 11:52:42.726788 30213 net.cpp:86] Creating Layer conv10/dw/relu
I0123 11:52:42.726791 30213 net.cpp:408] conv10/dw/relu <- conv10/dw
I0123 11:52:42.726794 30213 net.cpp:369] conv10/dw/relu -> conv10/dw (in-place)
I0123 11:52:42.726797 30213 net.cpp:124] Setting up conv10/dw/relu
I0123 11:52:42.726800 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.726802 30213 net.cpp:139] Memory required for data: 128061440
I0123 11:52:42.726804 30213 layer_factory.hpp:77] Creating layer conv10
I0123 11:52:42.726809 30213 net.cpp:86] Creating Layer conv10
I0123 11:52:42.726811 30213 net.cpp:408] conv10 <- conv10/dw
I0123 11:52:42.726814 30213 net.cpp:382] conv10 -> conv10
I0123 11:52:42.729172 30213 net.cpp:124] Setting up conv10
I0123 11:52:42.729182 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.729185 30213 net.cpp:139] Memory required for data: 129445888
I0123 11:52:42.729203 30213 layer_factory.hpp:77] Creating layer conv10/relu
I0123 11:52:42.729208 30213 net.cpp:86] Creating Layer conv10/relu
I0123 11:52:42.729210 30213 net.cpp:408] conv10/relu <- conv10
I0123 11:52:42.729214 30213 net.cpp:369] conv10/relu -> conv10 (in-place)
I0123 11:52:42.729218 30213 net.cpp:124] Setting up conv10/relu
I0123 11:52:42.729221 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.729224 30213 net.cpp:139] Memory required for data: 130830336
I0123 11:52:42.729226 30213 layer_factory.hpp:77] Creating layer conv11/dw
I0123 11:52:42.729231 30213 net.cpp:86] Creating Layer conv11/dw
I0123 11:52:42.729235 30213 net.cpp:408] conv11/dw <- conv10
I0123 11:52:42.729239 30213 net.cpp:382] conv11/dw -> conv11/dw
I0123 11:52:42.729470 30213 net.cpp:124] Setting up conv11/dw
I0123 11:52:42.729476 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.729478 30213 net.cpp:139] Memory required for data: 132214784
I0123 11:52:42.729493 30213 layer_factory.hpp:77] Creating layer conv11/dw/relu
I0123 11:52:42.729496 30213 net.cpp:86] Creating Layer conv11/dw/relu
I0123 11:52:42.729499 30213 net.cpp:408] conv11/dw/relu <- conv11/dw
I0123 11:52:42.729516 30213 net.cpp:369] conv11/dw/relu -> conv11/dw (in-place)
I0123 11:52:42.729519 30213 net.cpp:124] Setting up conv11/dw/relu
I0123 11:52:42.729523 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.729526 30213 net.cpp:139] Memory required for data: 133599232
I0123 11:52:42.729527 30213 layer_factory.hpp:77] Creating layer conv11
I0123 11:52:42.729532 30213 net.cpp:86] Creating Layer conv11
I0123 11:52:42.729534 30213 net.cpp:408] conv11 <- conv11/dw
I0123 11:52:42.729538 30213 net.cpp:382] conv11 -> conv11
I0123 11:52:42.731269 30213 net.cpp:124] Setting up conv11
I0123 11:52:42.731276 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.731277 30213 net.cpp:139] Memory required for data: 134983680
I0123 11:52:42.731281 30213 layer_factory.hpp:77] Creating layer conv11/relu
I0123 11:52:42.731297 30213 net.cpp:86] Creating Layer conv11/relu
I0123 11:52:42.731299 30213 net.cpp:408] conv11/relu <- conv11
I0123 11:52:42.731312 30213 net.cpp:369] conv11/relu -> conv11 (in-place)
I0123 11:52:42.731317 30213 net.cpp:124] Setting up conv11/relu
I0123 11:52:42.731320 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.731323 30213 net.cpp:139] Memory required for data: 136368128
I0123 11:52:42.731324 30213 layer_factory.hpp:77] Creating layer conv11_conv11/relu_0_split
I0123 11:52:42.731333 30213 net.cpp:86] Creating Layer conv11_conv11/relu_0_split
I0123 11:52:42.731350 30213 net.cpp:408] conv11_conv11/relu_0_split <- conv11
I0123 11:52:42.731354 30213 net.cpp:382] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_0
I0123 11:52:42.731371 30213 net.cpp:382] conv11_conv11/relu_0_split -> conv11_conv11/relu_0_split_1
I0123 11:52:42.731411 30213 net.cpp:124] Setting up conv11_conv11/relu_0_split
I0123 11:52:42.731416 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.731420 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.731421 30213 net.cpp:139] Memory required for data: 139137024
I0123 11:52:42.731436 30213 layer_factory.hpp:77] Creating layer conv12/dw
I0123 11:52:42.731441 30213 net.cpp:86] Creating Layer conv12/dw
I0123 11:52:42.731443 30213 net.cpp:408] conv12/dw <- conv11_conv11/relu_0_split_0
I0123 11:52:42.731452 30213 net.cpp:382] conv12/dw -> conv12/dw
I0123 11:52:42.731662 30213 net.cpp:124] Setting up conv12/dw
I0123 11:52:42.731667 30213 net.cpp:131] Top shape: 1 512 13 13 (86528)
I0123 11:52:42.731670 30213 net.cpp:139] Memory required for data: 139483136
I0123 11:52:42.731673 30213 layer_factory.hpp:77] Creating layer conv12/dw/relu
I0123 11:52:42.731676 30213 net.cpp:86] Creating Layer conv12/dw/relu
I0123 11:52:42.731679 30213 net.cpp:408] conv12/dw/relu <- conv12/dw
I0123 11:52:42.731683 30213 net.cpp:369] conv12/dw/relu -> conv12/dw (in-place)
I0123 11:52:42.731686 30213 net.cpp:124] Setting up conv12/dw/relu
I0123 11:52:42.731690 30213 net.cpp:131] Top shape: 1 512 13 13 (86528)
I0123 11:52:42.731693 30213 net.cpp:139] Memory required for data: 139829248
I0123 11:52:42.731694 30213 layer_factory.hpp:77] Creating layer conv12
I0123 11:52:42.731699 30213 net.cpp:86] Creating Layer conv12
I0123 11:52:42.731703 30213 net.cpp:408] conv12 <- conv12/dw
I0123 11:52:42.731720 30213 net.cpp:382] conv12 -> conv12
I0123 11:52:42.735636 30213 net.cpp:124] Setting up conv12
I0123 11:52:42.735647 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.735651 30213 net.cpp:139] Memory required for data: 140521472
I0123 11:52:42.735654 30213 layer_factory.hpp:77] Creating layer conv12/relu
I0123 11:52:42.735661 30213 net.cpp:86] Creating Layer conv12/relu
I0123 11:52:42.735663 30213 net.cpp:408] conv12/relu <- conv12
I0123 11:52:42.735666 30213 net.cpp:369] conv12/relu -> conv12 (in-place)
I0123 11:52:42.735671 30213 net.cpp:124] Setting up conv12/relu
I0123 11:52:42.735674 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.735677 30213 net.cpp:139] Memory required for data: 141213696
I0123 11:52:42.735678 30213 layer_factory.hpp:77] Creating layer conv13/dw
I0123 11:52:42.735684 30213 net.cpp:86] Creating Layer conv13/dw
I0123 11:52:42.735689 30213 net.cpp:408] conv13/dw <- conv12
I0123 11:52:42.735692 30213 net.cpp:382] conv13/dw -> conv13/dw
I0123 11:52:42.735908 30213 net.cpp:124] Setting up conv13/dw
I0123 11:52:42.735913 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.735915 30213 net.cpp:139] Memory required for data: 141905920
I0123 11:52:42.735918 30213 layer_factory.hpp:77] Creating layer conv13/dw/relu
I0123 11:52:42.735924 30213 net.cpp:86] Creating Layer conv13/dw/relu
I0123 11:52:42.735925 30213 net.cpp:408] conv13/dw/relu <- conv13/dw
I0123 11:52:42.735929 30213 net.cpp:369] conv13/dw/relu -> conv13/dw (in-place)
I0123 11:52:42.735931 30213 net.cpp:124] Setting up conv13/dw/relu
I0123 11:52:42.735934 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.735936 30213 net.cpp:139] Memory required for data: 142598144
I0123 11:52:42.735939 30213 layer_factory.hpp:77] Creating layer conv13
I0123 11:52:42.735954 30213 net.cpp:86] Creating Layer conv13
I0123 11:52:42.735956 30213 net.cpp:408] conv13 <- conv13/dw
I0123 11:52:42.735960 30213 net.cpp:382] conv13 -> conv13
I0123 11:52:42.743469 30213 net.cpp:124] Setting up conv13
I0123 11:52:42.743489 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.743490 30213 net.cpp:139] Memory required for data: 143290368
I0123 11:52:42.743510 30213 layer_factory.hpp:77] Creating layer conv13/relu
I0123 11:52:42.743516 30213 net.cpp:86] Creating Layer conv13/relu
I0123 11:52:42.743520 30213 net.cpp:408] conv13/relu <- conv13
I0123 11:52:42.743525 30213 net.cpp:369] conv13/relu -> conv13 (in-place)
I0123 11:52:42.743530 30213 net.cpp:124] Setting up conv13/relu
I0123 11:52:42.743533 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.743535 30213 net.cpp:139] Memory required for data: 143982592
I0123 11:52:42.743537 30213 layer_factory.hpp:77] Creating layer conv15/dw
I0123 11:52:42.743543 30213 net.cpp:86] Creating Layer conv15/dw
I0123 11:52:42.743546 30213 net.cpp:408] conv15/dw <- conv13
I0123 11:52:42.743551 30213 net.cpp:382] conv15/dw -> conv15/dw
I0123 11:52:42.743800 30213 net.cpp:124] Setting up conv15/dw
I0123 11:52:42.743806 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.743808 30213 net.cpp:139] Memory required for data: 144674816
I0123 11:52:42.743813 30213 layer_factory.hpp:77] Creating layer conv15/dw/relu
I0123 11:52:42.743818 30213 net.cpp:86] Creating Layer conv15/dw/relu
I0123 11:52:42.743821 30213 net.cpp:408] conv15/dw/relu <- conv15/dw
I0123 11:52:42.743824 30213 net.cpp:369] conv15/dw/relu -> conv15/dw (in-place)
I0123 11:52:42.743827 30213 net.cpp:124] Setting up conv15/dw/relu
I0123 11:52:42.743831 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.743834 30213 net.cpp:139] Memory required for data: 145367040
I0123 11:52:42.743835 30213 layer_factory.hpp:77] Creating layer conv15
I0123 11:52:42.743840 30213 net.cpp:86] Creating Layer conv15
I0123 11:52:42.743857 30213 net.cpp:408] conv15 <- conv15/dw
I0123 11:52:42.743860 30213 net.cpp:382] conv15 -> conv15
I0123 11:52:42.751255 30213 net.cpp:124] Setting up conv15
I0123 11:52:42.751272 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.751276 30213 net.cpp:139] Memory required for data: 146059264
I0123 11:52:42.751294 30213 layer_factory.hpp:77] Creating layer conv15/relu
I0123 11:52:42.751302 30213 net.cpp:86] Creating Layer conv15/relu
I0123 11:52:42.751304 30213 net.cpp:408] conv15/relu <- conv15
I0123 11:52:42.751308 30213 net.cpp:369] conv15/relu -> conv15 (in-place)
I0123 11:52:42.751313 30213 net.cpp:124] Setting up conv15/relu
I0123 11:52:42.751317 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.751318 30213 net.cpp:139] Memory required for data: 146751488
I0123 11:52:42.751322 30213 layer_factory.hpp:77] Creating layer conv15_conv15/relu_0_split
I0123 11:52:42.751324 30213 net.cpp:86] Creating Layer conv15_conv15/relu_0_split
I0123 11:52:42.751328 30213 net.cpp:408] conv15_conv15/relu_0_split <- conv15
I0123 11:52:42.751333 30213 net.cpp:382] conv15_conv15/relu_0_split -> conv15_conv15/relu_0_split_0
I0123 11:52:42.751343 30213 net.cpp:382] conv15_conv15/relu_0_split -> conv15_conv15/relu_0_split_1
I0123 11:52:42.751415 30213 net.cpp:124] Setting up conv15_conv15/relu_0_split
I0123 11:52:42.751421 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.751425 30213 net.cpp:131] Top shape: 1 1024 13 13 (173056)
I0123 11:52:42.751426 30213 net.cpp:139] Memory required for data: 148135936
I0123 11:52:42.751428 30213 layer_factory.hpp:77] Creating layer upsample
I0123 11:52:42.751447 30213 net.cpp:86] Creating Layer upsample
I0123 11:52:42.751451 30213 net.cpp:408] upsample <- conv15_conv15/relu_0_split_0
I0123 11:52:42.751454 30213 net.cpp:382] upsample -> upsample
I0123 11:52:42.751607 30213 net.cpp:124] Setting up upsample
I0123 11:52:42.751612 30213 net.cpp:131] Top shape: 1 512 25 25 (320000)
I0123 11:52:42.751616 30213 net.cpp:139] Memory required for data: 149415936
I0123 11:52:42.751631 30213 layer_factory.hpp:77] Creating layer maxpool
I0123 11:52:42.751636 30213 net.cpp:86] Creating Layer maxpool
I0123 11:52:42.751638 30213 net.cpp:408] maxpool <- upsample
I0123 11:52:42.751641 30213 net.cpp:382] maxpool -> maxpool
I0123 11:52:42.751708 30213 net.cpp:124] Setting up maxpool
I0123 11:52:42.751713 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.751716 30213 net.cpp:139] Memory required for data: 150800384
I0123 11:52:42.751732 30213 layer_factory.hpp:77] Creating layer conv17/dw
I0123 11:52:42.751739 30213 net.cpp:86] Creating Layer conv17/dw
I0123 11:52:42.751741 30213 net.cpp:408] conv17/dw <- conv11_conv11/relu_0_split_1
I0123 11:52:42.751744 30213 net.cpp:382] conv17/dw -> conv17/dw
I0123 11:52:42.751972 30213 net.cpp:124] Setting up conv17/dw
I0123 11:52:42.751978 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.751981 30213 net.cpp:139] Memory required for data: 152184832
I0123 11:52:42.751983 30213 layer_factory.hpp:77] Creating layer conv17/dw/relu
I0123 11:52:42.751992 30213 net.cpp:86] Creating Layer conv17/dw/relu
I0123 11:52:42.751996 30213 net.cpp:408] conv17/dw/relu <- conv17/dw
I0123 11:52:42.751999 30213 net.cpp:369] conv17/dw/relu -> conv17/dw (in-place)
I0123 11:52:42.752004 30213 net.cpp:124] Setting up conv17/dw/relu
I0123 11:52:42.752008 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.752010 30213 net.cpp:139] Memory required for data: 153569280
I0123 11:52:42.752032 30213 layer_factory.hpp:77] Creating layer conv17
I0123 11:52:42.752037 30213 net.cpp:86] Creating Layer conv17
I0123 11:52:42.752039 30213 net.cpp:408] conv17 <- conv17/dw
I0123 11:52:42.752044 30213 net.cpp:382] conv17 -> conv17
I0123 11:52:42.754384 30213 net.cpp:124] Setting up conv17
I0123 11:52:42.754395 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.754397 30213 net.cpp:139] Memory required for data: 154953728
I0123 11:52:42.754401 30213 layer_factory.hpp:77] Creating layer conv17/relu
I0123 11:52:42.754406 30213 net.cpp:86] Creating Layer conv17/relu
I0123 11:52:42.754408 30213 net.cpp:408] conv17/relu <- conv17
I0123 11:52:42.754413 30213 net.cpp:369] conv17/relu -> conv17 (in-place)
I0123 11:52:42.754417 30213 net.cpp:124] Setting up conv17/relu
I0123 11:52:42.754420 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.754422 30213 net.cpp:139] Memory required for data: 156338176
I0123 11:52:42.754426 30213 layer_factory.hpp:77] Creating layer conv17/sum
I0123 11:52:42.754428 30213 net.cpp:86] Creating Layer conv17/sum
I0123 11:52:42.754431 30213 net.cpp:408] conv17/sum <- maxpool
I0123 11:52:42.754447 30213 net.cpp:408] conv17/sum <- conv17
I0123 11:52:42.754451 30213 net.cpp:382] conv17/sum -> conv17/sum
I0123 11:52:42.754482 30213 net.cpp:124] Setting up conv17/sum
I0123 11:52:42.754487 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.754489 30213 net.cpp:139] Memory required for data: 157722624
I0123 11:52:42.754492 30213 layer_factory.hpp:77] Creating layer conv18/dw
I0123 11:52:42.754520 30213 net.cpp:86] Creating Layer conv18/dw
I0123 11:52:42.754523 30213 net.cpp:408] conv18/dw <- conv17/sum
I0123 11:52:42.754526 30213 net.cpp:382] conv18/dw -> conv18/dw
I0123 11:52:42.754729 30213 net.cpp:124] Setting up conv18/dw
I0123 11:52:42.754734 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.754736 30213 net.cpp:139] Memory required for data: 159107072
I0123 11:52:42.754746 30213 layer_factory.hpp:77] Creating layer conv18/dw/relu
I0123 11:52:42.754750 30213 net.cpp:86] Creating Layer conv18/dw/relu
I0123 11:52:42.754753 30213 net.cpp:408] conv18/dw/relu <- conv18/dw
I0123 11:52:42.754755 30213 net.cpp:369] conv18/dw/relu -> conv18/dw (in-place)
I0123 11:52:42.754760 30213 net.cpp:124] Setting up conv18/dw/relu
I0123 11:52:42.754762 30213 net.cpp:131] Top shape: 1 512 26 26 (346112)
I0123 11:52:42.754765 30213 net.cpp:139] Memory required for data: 160491520
I0123 11:52:42.754766 30213 layer_factory.hpp:77] Creating layer conv18_new
I0123 11:52:42.754771 30213 net.cpp:86] Creating Layer conv18_new
I0123 11:52:42.754796 30213 net.cpp:408] conv18_new <- conv18/dw
I0123 11:52:42.754801 30213 net.cpp:382] conv18_new -> conv18_new
I0123 11:52:42.758680 30213 net.cpp:124] Setting up conv18_new
I0123 11:52:42.758692 30213 net.cpp:131] Top shape: 1 1024 26 26 (692224)
I0123 11:52:42.758694 30213 net.cpp:139] Memory required for data: 163260416
I0123 11:52:42.758698 30213 layer_factory.hpp:77] Creating layer conv18_new/relu
I0123 11:52:42.758702 30213 net.cpp:86] Creating Layer conv18_new/relu
I0123 11:52:42.758720 30213 net.cpp:408] conv18_new/relu <- conv18_new
I0123 11:52:42.758724 30213 net.cpp:369] conv18_new/relu -> conv18_new (in-place)
I0123 11:52:42.758729 30213 net.cpp:124] Setting up conv18_new/relu
I0123 11:52:42.758733 30213 net.cpp:131] Top shape: 1 1024 26 26 (692224)
I0123 11:52:42.758734 30213 net.cpp:139] Memory required for data: 166029312
I0123 11:52:42.758736 30213 layer_factory.hpp:77] Creating layer conv19
I0123 11:52:42.758744 30213 net.cpp:86] Creating Layer conv19
I0123 11:52:42.758747 30213 net.cpp:408] conv19 <- conv15_conv15/relu_0_split_1
I0123 11:52:42.758751 30213 net.cpp:382] conv19 -> conv19
I0123 11:52:42.759230 30213 net.cpp:124] Setting up conv19
I0123 11:52:42.759238 30213 net.cpp:131] Top shape: 1 75 13 13 (12675)
I0123 11:52:42.759239 30213 net.cpp:139] Memory required for data: 166080012
I0123 11:52:42.759243 30213 layer_factory.hpp:77] Creating layer conv20
I0123 11:52:42.759263 30213 net.cpp:86] Creating Layer conv20
I0123 11:52:42.759266 30213 net.cpp:408] conv20 <- conv18_new
I0123 11:52:42.759271 30213 net.cpp:382] conv20 -> conv20
I0123 11:52:42.759737 30213 net.cpp:124] Setting up conv20
I0123 11:52:42.759742 30213 net.cpp:131] Top shape: 1 75 26 26 (50700)
I0123 11:52:42.759745 30213 net.cpp:139] Memory required for data: 166282812
I0123 11:52:42.759748 30213 layer_factory.hpp:77] Creating layer detection_out
I0123 11:52:42.759770 30213 net.cpp:86] Creating Layer detection_out
I0123 11:52:42.759773 30213 net.cpp:408] detection_out <- conv19
I0123 11:52:42.759776 30213 net.cpp:408] detection_out <- conv20
I0123 11:52:42.759780 30213 net.cpp:382] detection_out -> detection_out
I0123 11:52:42.759799 30213 net.cpp:124] Setting up detection_out
I0123 11:52:42.759804 30213 net.cpp:131] Top shape: 1 1 1 7 (7)
I0123 11:52:42.759806 30213 net.cpp:139] Memory required for data: 166282840
I0123 11:52:42.759809 30213 net.cpp:202] detection_out does not need backward computation.
I0123 11:52:42.759815 30213 net.cpp:202] conv20 does not need backward computation.
I0123 11:52:42.759817 30213 net.cpp:202] conv19 does not need backward computation.
I0123 11:52:42.759820 30213 net.cpp:202] conv18_new/relu does not need backward computation.
I0123 11:52:42.759822 30213 net.cpp:202] conv18_new does not need backward computation.
I0123 11:52:42.759825 30213 net.cpp:202] conv18/dw/relu does not need backward computation.
I0123 11:52:42.759827 30213 net.cpp:202] conv18/dw does not need backward computation.
I0123 11:52:42.759830 30213 net.cpp:202] conv17/sum does not need backward computation.
I0123 11:52:42.759832 30213 net.cpp:202] conv17/relu does not need backward computation.
I0123 11:52:42.759835 30213 net.cpp:202] conv17 does not need backward computation.
I0123 11:52:42.759837 30213 net.cpp:202] conv17/dw/relu does not need backward computation.
I0123 11:52:42.759840 30213 net.cpp:202] conv17/dw does not need backward computation.
I0123 11:52:42.759843 30213 net.cpp:202] maxpool does not need backward computation.
I0123 11:52:42.759845 30213 net.cpp:202] upsample does not need backward computation.
I0123 11:52:42.759848 30213 net.cpp:202] conv15_conv15/relu_0_split does not need backward computation.
I0123 11:52:42.759851 30213 net.cpp:202] conv15/relu does not need backward computation.
I0123 11:52:42.759855 30213 net.cpp:202] conv15 does not need backward computation.
I0123 11:52:42.759856 30213 net.cpp:202] conv15/dw/relu does not need backward computation.
I0123 11:52:42.759860 30213 net.cpp:202] conv15/dw does not need backward computation.
I0123 11:52:42.759862 30213 net.cpp:202] conv13/relu does not need backward computation.
I0123 11:52:42.759874 30213 net.cpp:202] conv13 does not need backward computation.
I0123 11:52:42.759877 30213 net.cpp:202] conv13/dw/relu does not need backward computation.
I0123 11:52:42.759881 30213 net.cpp:202] conv13/dw does not need backward computation.
I0123 11:52:42.759882 30213 net.cpp:202] conv12/relu does not need backward computation.
I0123 11:52:42.759884 30213 net.cpp:202] conv12 does not need backward computation.
I0123 11:52:42.759887 30213 net.cpp:202] conv12/dw/relu does not need backward computation.
I0123 11:52:42.759889 30213 net.cpp:202] conv12/dw does not need backward computation.
I0123 11:52:42.759892 30213 net.cpp:202] conv11_conv11/relu_0_split does not need backward computation.
I0123 11:52:42.759896 30213 net.cpp:202] conv11/relu does not need backward computation.
I0123 11:52:42.759897 30213 net.cpp:202] conv11 does not need backward computation.
I0123 11:52:42.759901 30213 net.cpp:202] conv11/dw/relu does not need backward computation.
I0123 11:52:42.759902 30213 net.cpp:202] conv11/dw does not need backward computation.
I0123 11:52:42.759907 30213 net.cpp:202] conv10/relu does not need backward computation.
I0123 11:52:42.759908 30213 net.cpp:202] conv10 does not need backward computation.
I0123 11:52:42.759912 30213 net.cpp:202] conv10/dw/relu does not need backward computation.
I0123 11:52:42.759913 30213 net.cpp:202] conv10/dw does not need backward computation.
I0123 11:52:42.759917 30213 net.cpp:202] conv9/relu does not need backward computation.
I0123 11:52:42.759918 30213 net.cpp:202] conv9 does not need backward computation.
I0123 11:52:42.759922 30213 net.cpp:202] conv9/dw/relu does not need backward computation.
I0123 11:52:42.759923 30213 net.cpp:202] conv9/dw does not need backward computation.
I0123 11:52:42.759927 30213 net.cpp:202] conv8/relu does not need backward computation.
I0123 11:52:42.759928 30213 net.cpp:202] conv8 does not need backward computation.
I0123 11:52:42.759932 30213 net.cpp:202] conv8/dw/relu does not need backward computation.
I0123 11:52:42.759933 30213 net.cpp:202] conv8/dw does not need backward computation.
I0123 11:52:42.759937 30213 net.cpp:202] conv7/relu does not need backward computation.
I0123 11:52:42.759938 30213 net.cpp:202] conv7 does not need backward computation.
I0123 11:52:42.759941 30213 net.cpp:202] conv7/dw/relu does not need backward computation.
I0123 11:52:42.759943 30213 net.cpp:202] conv7/dw does not need backward computation.
I0123 11:52:42.759946 30213 net.cpp:202] conv6/relu does not need backward computation.
I0123 11:52:42.759948 30213 net.cpp:202] conv6 does not need backward computation.
I0123 11:52:42.759950 30213 net.cpp:202] conv6/dw/relu does not need backward computation.
I0123 11:52:42.759953 30213 net.cpp:202] conv6/dw does not need backward computation.
I0123 11:52:42.759956 30213 net.cpp:202] conv5/relu does not need backward computation.
I0123 11:52:42.759958 30213 net.cpp:202] conv5 does not need backward computation.
I0123 11:52:42.759961 30213 net.cpp:202] conv5/dw/relu does not need backward computation.
I0123 11:52:42.759963 30213 net.cpp:202] conv5/dw does not need backward computation.
I0123 11:52:42.759965 30213 net.cpp:202] conv4/relu does not need backward computation.
I0123 11:52:42.759968 30213 net.cpp:202] conv4 does not need backward computation.
I0123 11:52:42.759971 30213 net.cpp:202] conv4/dw/relu does not need backward computation.
I0123 11:52:42.759974 30213 net.cpp:202] conv4/dw does not need backward computation.
I0123 11:52:42.759975 30213 net.cpp:202] conv3/relu does not need backward computation.
I0123 11:52:42.759979 30213 net.cpp:202] conv3 does not need backward computation.
I0123 11:52:42.759980 30213 net.cpp:202] conv3/dw/relu does not need backward computation.
I0123 11:52:42.759984 30213 net.cpp:202] conv3/dw does not need backward computation.
I0123 11:52:42.759985 30213 net.cpp:202] conv2/relu does not need backward computation.
I0123 11:52:42.759987 30213 net.cpp:202] conv2 does not need backward computation.
I0123 11:52:42.759994 30213 net.cpp:202] conv2/dw/relu does not need backward computation.
I0123 11:52:42.759997 30213 net.cpp:202] conv2/dw does not need backward computation.
I0123 11:52:42.760000 30213 net.cpp:202] conv1/relu does not need backward computation.
I0123 11:52:42.760002 30213 net.cpp:202] conv1 does not need backward computation.
I0123 11:52:42.760005 30213 net.cpp:202] conv1/dw/relu does not need backward computation.
I0123 11:52:42.760008 30213 net.cpp:202] conv1/dw does not need backward computation.
I0123 11:52:42.760010 30213 net.cpp:202] conv0/relu does not need backward computation.
I0123 11:52:42.760018 30213 net.cpp:202] conv0 does not need backward computation.
I0123 11:52:42.760020 30213 net.cpp:202] data does not need backward computation.
I0123 11:52:42.760023 30213 net.cpp:244] This network produces output detection_out
I0123 11:52:42.760049 30213 net.cpp:257] Network initialization done.
I0123 11:52:42.760210 30213 caffe.cpp:367] Performing Forward
I0123 11:52:42.773155 30213 caffe.cpp:372] Initial loss: 0
I0123 11:52:42.773174 30213 caffe.cpp:373] Performing Backward
I0123 11:52:42.773178 30213 caffe.cpp:381] *** Benchmark begins ***
I0123 11:52:42.773180 30213 caffe.cpp:382] Testing for 50 iterations.
I0123 11:52:42.805588 30213 caffe.cpp:410] Iteration: 1 forward-backward time: 32.3742 ms.
I0123 11:52:42.833055 30213 caffe.cpp:410] Iteration: 2 forward-backward time: 27.4381 ms.
I0123 11:52:42.860306 30213 caffe.cpp:410] Iteration: 3 forward-backward time: 27.2305 ms.
I0123 11:52:42.887704 30213 caffe.cpp:410] Iteration: 4 forward-backward time: 27.3777 ms.
I0123 11:52:42.914907 30213 caffe.cpp:410] Iteration: 5 forward-backward time: 27.184 ms.
I0123 11:52:42.942318 30213 caffe.cpp:410] Iteration: 6 forward-backward time: 27.3924 ms.
I0123 11:52:42.969168 30213 caffe.cpp:410] Iteration: 7 forward-backward time: 26.8308 ms.
I0123 11:52:42.996037 30213 caffe.cpp:410] Iteration: 8 forward-backward time: 26.8512 ms.
I0123 11:52:43.022495 30213 caffe.cpp:410] Iteration: 9 forward-backward time: 26.4383 ms.
I0123 11:52:43.048480 30213 caffe.cpp:410] Iteration: 10 forward-backward time: 25.9666 ms.
I0123 11:52:43.074446 30213 caffe.cpp:410] Iteration: 11 forward-backward time: 25.9489 ms.
I0123 11:52:43.100464 30213 caffe.cpp:410] Iteration: 12 forward-backward time: 25.9997 ms.
I0123 11:52:43.126314 30213 caffe.cpp:410] Iteration: 13 forward-backward time: 25.8308 ms.
I0123 11:52:43.152190 30213 caffe.cpp:410] Iteration: 14 forward-backward time: 25.8578 ms.
I0123 11:52:43.178041 30213 caffe.cpp:410] Iteration: 15 forward-backward time: 25.8327 ms.
I0123 11:52:43.203763 30213 caffe.cpp:410] Iteration: 16 forward-backward time: 25.7024 ms.
I0123 11:52:43.229218 30213 caffe.cpp:410] Iteration: 17 forward-backward time: 25.4364 ms.
I0123 11:52:43.255002 30213 caffe.cpp:410] Iteration: 18 forward-backward time: 25.7662 ms.
I0123 11:52:43.280452 30213 caffe.cpp:410] Iteration: 19 forward-backward time: 25.4315 ms.
I0123 11:52:43.305893 30213 caffe.cpp:410] Iteration: 20 forward-backward time: 25.4237 ms.
I0123 11:52:43.331410 30213 caffe.cpp:410] Iteration: 21 forward-backward time: 25.4982 ms.
I0123 11:52:43.356850 30213 caffe.cpp:410] Iteration: 22 forward-backward time: 25.4212 ms.
I0123 11:52:43.382547 30213 caffe.cpp:410] Iteration: 23 forward-backward time: 25.6783 ms.
I0123 11:52:43.408284 30213 caffe.cpp:410] Iteration: 24 forward-backward time: 25.7188 ms.
I0123 11:52:43.433993 30213 caffe.cpp:410] Iteration: 25 forward-backward time: 25.6905 ms.
I0123 11:52:43.459682 30213 caffe.cpp:410] Iteration: 26 forward-backward time: 25.671 ms.
I0123 11:52:43.485393 30213 caffe.cpp:410] Iteration: 27 forward-backward time: 25.6911 ms.
I0123 11:52:43.511118 30213 caffe.cpp:410] Iteration: 28 forward-backward time: 25.708 ms.
I0123 11:52:43.536839 30213 caffe.cpp:410] Iteration: 29 forward-backward time: 25.703 ms.
I0123 11:52:43.562280 30213 caffe.cpp:410] Iteration: 30 forward-backward time: 25.4226 ms.
I0123 11:52:43.588009 30213 caffe.cpp:410] Iteration: 31 forward-backward time: 25.7106 ms.
I0123 11:52:43.613721 30213 caffe.cpp:410] Iteration: 32 forward-backward time: 25.6783 ms.
I0123 11:52:43.639431 30213 caffe.cpp:410] Iteration: 33 forward-backward time: 25.6911 ms.
I0123 11:52:43.664849 30213 caffe.cpp:410] Iteration: 34 forward-backward time: 25.4004 ms.
I0123 11:52:43.690296 30213 caffe.cpp:410] Iteration: 35 forward-backward time: 25.4288 ms.
I0123 11:52:43.715993 30213 caffe.cpp:410] Iteration: 36 forward-backward time: 25.6785 ms.
I0123 11:52:43.741405 30213 caffe.cpp:410] Iteration: 37 forward-backward time: 25.3932 ms.
I0123 11:52:43.766858 30213 caffe.cpp:410] Iteration: 38 forward-backward time: 25.4344 ms.
I0123 11:52:43.792243 30213 caffe.cpp:410] Iteration: 39 forward-backward time: 25.3663 ms.
I0123 11:52:43.817811 30213 caffe.cpp:410] Iteration: 40 forward-backward time: 25.55 ms.
I0123 11:52:43.843262 30213 caffe.cpp:410] Iteration: 41 forward-backward time: 25.4322 ms.
I0123 11:52:43.868705 30213 caffe.cpp:410] Iteration: 42 forward-backward time: 25.4239 ms.
I0123 11:52:43.894091 30213 caffe.cpp:410] Iteration: 43 forward-backward time: 25.3676 ms.
I0123 11:52:43.919508 30213 caffe.cpp:410] Iteration: 44 forward-backward time: 25.3993 ms.
I0123 11:52:43.944949 30213 caffe.cpp:410] Iteration: 45 forward-backward time: 25.4218 ms.
I0123 11:52:43.970626 30213 caffe.cpp:410] Iteration: 46 forward-backward time: 25.659 ms.
I0123 11:52:43.996392 30213 caffe.cpp:410] Iteration: 47 forward-backward time: 25.7464 ms.
I0123 11:52:44.022106 30213 caffe.cpp:410] Iteration: 48 forward-backward time: 25.6966 ms.
I0123 11:52:44.047840 30213 caffe.cpp:410] Iteration: 49 forward-backward time: 25.7157 ms.
I0123 11:52:44.073568 30213 caffe.cpp:410] Iteration: 50 forward-backward time: 25.7096 ms.
I0123 11:52:44.073578 30213 caffe.cpp:413] Average time per layer: 
I0123 11:52:44.073580 30213 caffe.cpp:416]       data	forward: 0.0015488 ms.
I0123 11:52:44.073585 30213 caffe.cpp:419]       data	backward: 0.00117504 ms.
I0123 11:52:44.073587 30213 caffe.cpp:416]      conv0	forward: 0.211486 ms.
I0123 11:52:44.073590 30213 caffe.cpp:419]      conv0	backward: 0.44281 ms.
I0123 11:52:44.073591 30213 caffe.cpp:416] conv0/relu	forward: 0.0505267 ms.
I0123 11:52:44.073595 30213 caffe.cpp:419] conv0/relu	backward: 0.00111552 ms.
I0123 11:52:44.073611 30213 caffe.cpp:416]   conv1/dw	forward: 0.270828 ms.
I0123 11:52:44.073613 30213 caffe.cpp:419]   conv1/dw	backward: 6.43269 ms.
I0123 11:52:44.073616 30213 caffe.cpp:416] conv1/dw/relu	forward: 0.0493427 ms.
I0123 11:52:44.073618 30213 caffe.cpp:419] conv1/dw/relu	backward: 0.0011232 ms.
I0123 11:52:44.073621 30213 caffe.cpp:416]      conv1	forward: 0.245405 ms.
I0123 11:52:44.073623 30213 caffe.cpp:419]      conv1	backward: 0.461021 ms.
I0123 11:52:44.073626 30213 caffe.cpp:416] conv1/relu	forward: 0.0954669 ms.
I0123 11:52:44.073628 30213 caffe.cpp:419] conv1/relu	backward: 0.00116608 ms.
I0123 11:52:44.073632 30213 caffe.cpp:416]   conv2/dw	forward: 0.167532 ms.
I0123 11:52:44.073633 30213 caffe.cpp:419]   conv2/dw	backward: 2.80713 ms.
I0123 11:52:44.073637 30213 caffe.cpp:416] conv2/dw/relu	forward: 0.0241626 ms.
I0123 11:52:44.073638 30213 caffe.cpp:419] conv2/dw/relu	backward: 0.00120512 ms.
I0123 11:52:44.073642 30213 caffe.cpp:416]      conv2	forward: 0.119082 ms.
I0123 11:52:44.073643 30213 caffe.cpp:419]      conv2	backward: 0.190993 ms.
I0123 11:52:44.073647 30213 caffe.cpp:416] conv2/relu	forward: 0.0500198 ms.
I0123 11:52:44.073648 30213 caffe.cpp:419] conv2/relu	backward: 0.00111552 ms.
I0123 11:52:44.073652 30213 caffe.cpp:416]   conv3/dw	forward: 0.272652 ms.
I0123 11:52:44.073668 30213 caffe.cpp:419]   conv3/dw	backward: 2.66952 ms.
I0123 11:52:44.073670 30213 caffe.cpp:416] conv3/dw/relu	forward: 0.0491814 ms.
I0123 11:52:44.073673 30213 caffe.cpp:419] conv3/dw/relu	backward: 0.00105344 ms.
I0123 11:52:44.073676 30213 caffe.cpp:416]      conv3	forward: 0.13519 ms.
I0123 11:52:44.073678 30213 caffe.cpp:419]      conv3	backward: 0.195577 ms.
I0123 11:52:44.073681 30213 caffe.cpp:416] conv3/relu	forward: 0.0498592 ms.
I0123 11:52:44.073683 30213 caffe.cpp:419] conv3/relu	backward: 0.00110592 ms.
I0123 11:52:44.073698 30213 caffe.cpp:416]   conv4/dw	forward: 0.0739226 ms.
I0123 11:52:44.073704 30213 caffe.cpp:419]   conv4/dw	backward: 0.75374 ms.
I0123 11:52:44.073706 30213 caffe.cpp:416] conv4/dw/relu	forward: 0.011193 ms.
I0123 11:52:44.073709 30213 caffe.cpp:419] conv4/dw/relu	backward: 0.00098368 ms.
I0123 11:52:44.073724 30213 caffe.cpp:416]      conv4	forward: 0.0869766 ms.
I0123 11:52:44.073727 30213 caffe.cpp:419]      conv4	backward: 0.0653485 ms.
I0123 11:52:44.073729 30213 caffe.cpp:416] conv4/relu	forward: 0.0267898 ms.
I0123 11:52:44.073746 30213 caffe.cpp:419] conv4/relu	backward: 0.00105664 ms.
I0123 11:52:44.073748 30213 caffe.cpp:416]   conv5/dw	forward: 0.118397 ms.
I0123 11:52:44.073751 30213 caffe.cpp:419]   conv5/dw	backward: 0.873007 ms.
I0123 11:52:44.073755 30213 caffe.cpp:416] conv5/dw/relu	forward: 0.0262714 ms.
I0123 11:52:44.073756 30213 caffe.cpp:419] conv5/dw/relu	backward: 0.0011488 ms.
I0123 11:52:44.073760 30213 caffe.cpp:416]      conv5	forward: 0.116932 ms.
I0123 11:52:44.073761 30213 caffe.cpp:419]      conv5	backward: 0.104647 ms.
I0123 11:52:44.073765 30213 caffe.cpp:416] conv5/relu	forward: 0.0266547 ms.
I0123 11:52:44.073766 30213 caffe.cpp:419] conv5/relu	backward: 0.00112128 ms.
I0123 11:52:44.073770 30213 caffe.cpp:416]   conv6/dw	forward: 0.0391917 ms.
I0123 11:52:44.073771 30213 caffe.cpp:419]   conv6/dw	backward: 0.247041 ms.
I0123 11:52:44.073774 30213 caffe.cpp:416] conv6/dw/relu	forward: 0.00630592 ms.
I0123 11:52:44.073777 30213 caffe.cpp:419] conv6/dw/relu	backward: 0.00107072 ms.
I0123 11:52:44.073779 30213 caffe.cpp:416]      conv6	forward: 0.0645658 ms.
I0123 11:52:44.073782 30213 caffe.cpp:419]      conv6	backward: 0.0479789 ms.
I0123 11:52:44.073784 30213 caffe.cpp:416] conv6/relu	forward: 0.0075392 ms.
I0123 11:52:44.073787 30213 caffe.cpp:419] conv6/relu	backward: 0.00109504 ms.
I0123 11:52:44.073791 30213 caffe.cpp:416]   conv7/dw	forward: 0.0495334 ms.
I0123 11:52:44.073792 30213 caffe.cpp:419]   conv7/dw	backward: 0.331721 ms.
I0123 11:52:44.073796 30213 caffe.cpp:416] conv7/dw/relu	forward: 0.00989824 ms.
I0123 11:52:44.073798 30213 caffe.cpp:419] conv7/dw/relu	backward: 0.00118848 ms.
I0123 11:52:44.073801 30213 caffe.cpp:416]      conv7	forward: 0.096176 ms.
I0123 11:52:44.073803 30213 caffe.cpp:419]      conv7	backward: 0.104091 ms.
I0123 11:52:44.073806 30213 caffe.cpp:416] conv7/relu	forward: 0.00735552 ms.
I0123 11:52:44.073808 30213 caffe.cpp:419] conv7/relu	backward: 0.00105664 ms.
I0123 11:52:44.073810 30213 caffe.cpp:416]   conv8/dw	forward: 0.0496576 ms.
I0123 11:52:44.073813 30213 caffe.cpp:419]   conv8/dw	backward: 0.33241 ms.
I0123 11:52:44.073815 30213 caffe.cpp:416] conv8/dw/relu	forward: 0.0100678 ms.
I0123 11:52:44.073818 30213 caffe.cpp:419] conv8/dw/relu	backward: 0.00105728 ms.
I0123 11:52:44.073822 30213 caffe.cpp:416]      conv8	forward: 0.0941037 ms.
I0123 11:52:44.073823 30213 caffe.cpp:419]      conv8	backward: 0.102234 ms.
I0123 11:52:44.073827 30213 caffe.cpp:416] conv8/relu	forward: 0.00763072 ms.
I0123 11:52:44.073828 30213 caffe.cpp:419] conv8/relu	backward: 0.00108608 ms.
I0123 11:52:44.073832 30213 caffe.cpp:416]   conv9/dw	forward: 0.0494304 ms.
I0123 11:52:44.073833 30213 caffe.cpp:419]   conv9/dw	backward: 0.330924 ms.
I0123 11:52:44.073837 30213 caffe.cpp:416] conv9/dw/relu	forward: 0.00991808 ms.
I0123 11:52:44.073839 30213 caffe.cpp:419] conv9/dw/relu	backward: 0.00114944 ms.
I0123 11:52:44.073842 30213 caffe.cpp:416]      conv9	forward: 0.0948429 ms.
I0123 11:52:44.073844 30213 caffe.cpp:419]      conv9	backward: 0.104729 ms.
I0123 11:52:44.073846 30213 caffe.cpp:416] conv9/relu	forward: 0.00747456 ms.
I0123 11:52:44.073849 30213 caffe.cpp:419] conv9/relu	backward: 0.00106816 ms.
I0123 11:52:44.073851 30213 caffe.cpp:416]  conv10/dw	forward: 0.0493677 ms.
I0123 11:52:44.073854 30213 caffe.cpp:419]  conv10/dw	backward: 0.332302 ms.
I0123 11:52:44.073858 30213 caffe.cpp:416] conv10/dw/relu	forward: 0.01 ms.
I0123 11:52:44.073859 30213 caffe.cpp:419] conv10/dw/relu	backward: 0.00108672 ms.
I0123 11:52:44.073866 30213 caffe.cpp:416]     conv10	forward: 0.0952506 ms.
I0123 11:52:44.073869 30213 caffe.cpp:419]     conv10	backward: 0.10216 ms.
I0123 11:52:44.073873 30213 caffe.cpp:416] conv10/relu	forward: 0.0074464 ms.
I0123 11:52:44.073874 30213 caffe.cpp:419] conv10/relu	backward: 0.00114752 ms.
I0123 11:52:44.073877 30213 caffe.cpp:416]  conv11/dw	forward: 0.0493062 ms.
I0123 11:52:44.073879 30213 caffe.cpp:419]  conv11/dw	backward: 0.331853 ms.
I0123 11:52:44.073882 30213 caffe.cpp:416] conv11/dw/relu	forward: 0.0101696 ms.
I0123 11:52:44.073884 30213 caffe.cpp:419] conv11/dw/relu	backward: 0.00108992 ms.
I0123 11:52:44.073887 30213 caffe.cpp:416]     conv11	forward: 0.0950778 ms.
I0123 11:52:44.073890 30213 caffe.cpp:419]     conv11	backward: 0.107633 ms.
I0123 11:52:44.073892 30213 caffe.cpp:416] conv11/relu	forward: 0.00740992 ms.
I0123 11:52:44.073895 30213 caffe.cpp:419] conv11/relu	backward: 0.00096896 ms.
I0123 11:52:44.073897 30213 caffe.cpp:416] conv11_conv11/relu_0_split	forward: 0.00143552 ms.
I0123 11:52:44.073900 30213 caffe.cpp:419] conv11_conv11/relu_0_split	backward: 0.00114688 ms.
I0123 11:52:44.073902 30213 caffe.cpp:416]  conv12/dw	forward: 0.0188563 ms.
I0123 11:52:44.073905 30213 caffe.cpp:419]  conv12/dw	backward: 0.103424 ms.
I0123 11:52:44.073909 30213 caffe.cpp:416] conv12/dw/relu	forward: 0.00470912 ms.
I0123 11:52:44.073910 30213 caffe.cpp:419] conv12/dw/relu	backward: 0.00111616 ms.
I0123 11:52:44.073913 30213 caffe.cpp:416]     conv12	forward: 0.0717286 ms.
I0123 11:52:44.073915 30213 caffe.cpp:419]     conv12	backward: 0.0589062 ms.
I0123 11:52:44.073918 30213 caffe.cpp:416] conv12/relu	forward: 0.0060448 ms.
I0123 11:52:44.073921 30213 caffe.cpp:419] conv12/relu	backward: 0.0010368 ms.
I0123 11:52:44.073923 30213 caffe.cpp:416]  conv13/dw	forward: 0.0264346 ms.
I0123 11:52:44.073926 30213 caffe.cpp:419]  conv13/dw	backward: 0.094704 ms.
I0123 11:52:44.073928 30213 caffe.cpp:416] conv13/dw/relu	forward: 0.0053824 ms.
I0123 11:52:44.073931 30213 caffe.cpp:419] conv13/dw/relu	backward: 0.00108928 ms.
I0123 11:52:44.073935 30213 caffe.cpp:416]     conv13	forward: 0.113937 ms.
I0123 11:52:44.073936 30213 caffe.cpp:419]     conv13	backward: 0.0903674 ms.
I0123 11:52:44.073940 30213 caffe.cpp:416] conv13/relu	forward: 0.00577408 ms.
I0123 11:52:44.073941 30213 caffe.cpp:419] conv13/relu	backward: 0.00104256 ms.
I0123 11:52:44.073945 30213 caffe.cpp:416]  conv15/dw	forward: 0.0263034 ms.
I0123 11:52:44.073946 30213 caffe.cpp:419]  conv15/dw	backward: 0.0946662 ms.
I0123 11:52:44.073949 30213 caffe.cpp:416] conv15/dw/relu	forward: 0.00543936 ms.
I0123 11:52:44.073952 30213 caffe.cpp:419] conv15/dw/relu	backward: 0.00113664 ms.
I0123 11:52:44.073954 30213 caffe.cpp:416]     conv15	forward: 0.115343 ms.
I0123 11:52:44.073957 30213 caffe.cpp:419]     conv15	backward: 0.0888384 ms.
I0123 11:52:44.073959 30213 caffe.cpp:416] conv15/relu	forward: 0.00577984 ms.
I0123 11:52:44.073962 30213 caffe.cpp:419] conv15/relu	backward: 0.00092416 ms.
I0123 11:52:44.073964 30213 caffe.cpp:416] conv15_conv15/relu_0_split	forward: 0.00132032 ms.
I0123 11:52:44.073967 30213 caffe.cpp:419] conv15_conv15/relu_0_split	backward: 0.0012096 ms.
I0123 11:52:44.073971 30213 caffe.cpp:416]   upsample	forward: 1.38267 ms.
I0123 11:52:44.073972 30213 caffe.cpp:419]   upsample	backward: 0.003568 ms.
I0123 11:52:44.073976 30213 caffe.cpp:416]    maxpool	forward: 0.0303315 ms.
I0123 11:52:44.073977 30213 caffe.cpp:419]    maxpool	backward: 0.0010752 ms.
I0123 11:52:44.073981 30213 caffe.cpp:416]  conv17/dw	forward: 0.0518195 ms.
I0123 11:52:44.073983 30213 caffe.cpp:419]  conv17/dw	backward: 0.33186 ms.
I0123 11:52:44.073985 30213 caffe.cpp:416] conv17/dw/relu	forward: 0.0103501 ms.
I0123 11:52:44.073988 30213 caffe.cpp:419] conv17/dw/relu	backward: 0.00106944 ms.
I0123 11:52:44.073990 30213 caffe.cpp:416]     conv17	forward: 0.096128 ms.
I0123 11:52:44.073993 30213 caffe.cpp:419]     conv17	backward: 0.10404 ms.
I0123 11:52:44.073995 30213 caffe.cpp:416] conv17/relu	forward: 0.00770624 ms.
I0123 11:52:44.074002 30213 caffe.cpp:419] conv17/relu	backward: 0.00097664 ms.
I0123 11:52:44.074005 30213 caffe.cpp:416] conv17/sum	forward: 0.0399635 ms.
I0123 11:52:44.074007 30213 caffe.cpp:419] conv17/sum	backward: 0.00099008 ms.
I0123 11:52:44.074010 30213 caffe.cpp:416]  conv18/dw	forward: 0.0522413 ms.
I0123 11:52:44.074012 30213 caffe.cpp:419]  conv18/dw	backward: 0.331108 ms.
I0123 11:52:44.074015 30213 caffe.cpp:416] conv18/dw/relu	forward: 0.0101978 ms.
I0123 11:52:44.074018 30213 caffe.cpp:419] conv18/dw/relu	backward: 0.00119808 ms.
I0123 11:52:44.074020 30213 caffe.cpp:416] conv18_new	forward: 0.192568 ms.
I0123 11:52:44.074023 30213 caffe.cpp:419] conv18_new	backward: 0.155098 ms.
I0123 11:52:44.074025 30213 caffe.cpp:416] conv18_new/relu	forward: 0.0264467 ms.
I0123 11:52:44.074028 30213 caffe.cpp:419] conv18_new/relu	backward: 0.00113664 ms.
I0123 11:52:44.074031 30213 caffe.cpp:416]     conv19	forward: 0.0338547 ms.
I0123 11:52:44.074033 30213 caffe.cpp:419]     conv19	backward: 0.0244986 ms.
I0123 11:52:44.074036 30213 caffe.cpp:416]     conv20	forward: 0.0506189 ms.
I0123 11:52:44.074044 30213 caffe.cpp:419]     conv20	backward: 0.0426035 ms.
I0123 11:52:44.074046 30213 caffe.cpp:416] detection_out	forward: 0.504194 ms.
I0123 11:52:44.074049 30213 caffe.cpp:419] detection_out	backward: 0.00135808 ms.
I0123 11:52:44.074055 30213 caffe.cpp:424] Average Forward pass: 6.52886 ms.
I0123 11:52:44.074060 30213 caffe.cpp:426] Average Backward pass: 19.448 ms.
I0123 11:52:44.074066 30213 caffe.cpp:428] Average Forward-Backward: 26.0168 ms.
I0123 11:52:44.074071 30213 caffe.cpp:430] Total Time: 1300.84 ms.
I0123 11:52:44.074075 30213 caffe.cpp:431] *** Benchmark ends ***