C:\Users\CGVU IF Edinburgh\Downloads\New folder\caffe\python>python pascalcontext-fcn8s/solve.py 0
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0125 14:20:31.062985 12060 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
Before solver
I0125 14:20:31.074015 12060 solver.cpp:48] Initializing solver from parameters:
train_net: "C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\pascalcontext-fcn8s\\train.prototxt"
test_net: "C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\pascalcontext-fcn8s\\val.prototxt"
test_iter: 5105
test_interval: 999999999
base_lr: 1e-10
display: 20
max_iter: 300000
lr_policy: "fixed"
momentum: 0.99
weight_decay: 0.0005
snapshot: 4000
snapshot_prefix: "snapshot/train"
test_initialization: false
average_loss: 20
iter_size: 1
I0125 14:20:31.074126 12060 solver.cpp:81] Creating training net from train_net file: C:\Users\CGVU IF Edinburgh\Downloads\New folder\caffe\python\pascalcontext-fcn8s\train.prototxt
I0125 14:20:31.091868 12060 net.cpp:58] Initializing net from parameters:
state {
  phase: TRAIN
}
layer {
  name: "data"
  type: "Python"
  top: "data"
  top: "label"
  python_param {
    module: "pascalcontext_layers"
    layer: "PASCALContextSegDataLayer"
    param_str: "{\'context_dir\': \'C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\data\\pascal-context\', \'seed\': 1337, \'split\': \'train\', \'voc_dir\': \'C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\data\\pascal\'}"
  }
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "data"
  top: "conv1_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 100
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "Convolution"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "Convolution"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "score_frtest"
  type: "Convolution"
  bottom: "fc7"
  top: "score_frtest"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "upscore2test"
  type: "Deconvolution"
  bottom: "score_frtest"
  top: "upscore2test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool4test"
  type: "Convolution"
  bottom: "pool4"
  top: "score_pool4test"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool4c"
  type: "Crop"
  bottom: "score_pool4test"
  bottom: "upscore2test"
  top: "score_pool4c"
  crop_param {
    axis: 2
    offset: 5
  }
}
layer {
  name: "fuse_pool4"
  type: "Eltwise"
  bottom: "upscore2test"
  bottom: "score_pool4c"
  top: "fuse_pool4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore_pool4test"
  type: "Deconvolution"
  bottom: "fuse_pool4"
  top: "upscore_pool4test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool3test"
  type: "Convolution"
  bottom: "pool3"
  top: "score_pool3test"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool3c"
  type: "Crop"
  bottom: "score_pool3test"
  bottom: "upscore_pool4test"
  top: "score_pool3c"
  crop_param {
    axis: 2
    offset: 9
  }
}
layer {
  name: "fuse_pool3"
  type: "Eltwise"
  bottom: "upscore_pool4test"
  bottom: "score_pool3c"
  top: "fuse_pool3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore8test"
  type: "Deconvolution"
  bottom: "fuse_pool3"
  top: "upscore8test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 16
    stride: 8
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score"
  type: "Crop"
  bottom: "upscore8test"
  bottom: "data"
  top: "score"
  crop_param {
    axis: 2
    offset: 31
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "score"
  bottom: "label"
  top: "loss"
  loss_param {
    ignore_label: 255
    normalize: false
  }
}
I0125 14:20:31.093346 12060 layer_factory.cpp:58] Creating layer data
I0125 14:20:31.271384 12060 net.cpp:100] Creating Layer data
I0125 14:20:31.271384 12060 net.cpp:408] data -> data
I0125 14:20:31.272393 12060 net.cpp:408] data -> label
I0125 14:20:31.520579 12060 net.cpp:150] Setting up data
I0125 14:20:31.520579 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.521082 12060 net.cpp:157] Top shape: 1 1 375 500 (187500)
I0125 14:20:31.521581 12060 net.cpp:165] Memory required for data: 3000000
I0125 14:20:31.522083 12060 layer_factory.cpp:58] Creating layer data_data_0_split
I0125 14:20:31.522083 12060 net.cpp:100] Creating Layer data_data_0_split
I0125 14:20:31.522585 12060 net.cpp:434] data_data_0_split <- data
I0125 14:20:31.522585 12060 net.cpp:408] data_data_0_split -> data_data_0_split_0
I0125 14:20:31.522585 12060 net.cpp:408] data_data_0_split -> data_data_0_split_1
I0125 14:20:31.523087 12060 net.cpp:150] Setting up data_data_0_split
I0125 14:20:31.523087 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.523602 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.523602 12060 net.cpp:165] Memory required for data: 7500000
I0125 14:20:31.524094 12060 layer_factory.cpp:58] Creating layer conv1_1
I0125 14:20:31.524094 12060 net.cpp:100] Creating Layer conv1_1
I0125 14:20:31.524094 12060 net.cpp:434] conv1_1 <- data_data_0_split_0
I0125 14:20:31.524596 12060 net.cpp:408] conv1_1 -> conv1_1
I0125 14:20:31.526510 12060 net.cpp:150] Setting up conv1_1
I0125 14:20:31.526510 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.526510 12060 net.cpp:165] Memory required for data: 109888224
I0125 14:20:31.526510 12060 layer_factory.cpp:58] Creating layer relu1_1
I0125 14:20:31.527011 12060 net.cpp:100] Creating Layer relu1_1
I0125 14:20:31.527011 12060 net.cpp:434] relu1_1 <- conv1_1
I0125 14:20:31.527011 12060 net.cpp:395] relu1_1 -> conv1_1 (in-place)
I0125 14:20:31.527513 12060 net.cpp:150] Setting up relu1_1
I0125 14:20:31.527513 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.527513 12060 net.cpp:165] Memory required for data: 212276448
I0125 14:20:31.528014 12060 layer_factory.cpp:58] Creating layer conv1_2
I0125 14:20:31.528014 12060 net.cpp:100] Creating Layer conv1_2
I0125 14:20:31.528014 12060 net.cpp:434] conv1_2 <- conv1_1
I0125 14:20:31.528515 12060 net.cpp:408] conv1_2 -> conv1_2
I0125 14:20:31.530020 12060 net.cpp:150] Setting up conv1_2
I0125 14:20:31.530020 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.530521 12060 net.cpp:165] Memory required for data: 314664672
I0125 14:20:31.530521 12060 layer_factory.cpp:58] Creating layer relu1_2
I0125 14:20:31.530521 12060 net.cpp:100] Creating Layer relu1_2
I0125 14:20:31.531023 12060 net.cpp:434] relu1_2 <- conv1_2
I0125 14:20:31.531023 12060 net.cpp:395] relu1_2 -> conv1_2 (in-place)
I0125 14:20:31.531023 12060 net.cpp:150] Setting up relu1_2
I0125 14:20:31.531523 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.531523 12060 net.cpp:165] Memory required for data: 417052896
I0125 14:20:31.531523 12060 layer_factory.cpp:58] Creating layer pool1
I0125 14:20:31.532024 12060 net.cpp:100] Creating Layer pool1
I0125 14:20:31.532024 12060 net.cpp:434] pool1 <- conv1_2
I0125 14:20:31.532024 12060 net.cpp:408] pool1 -> pool1
I0125 14:20:31.532526 12060 net.cpp:150] Setting up pool1
I0125 14:20:31.532526 12060 net.cpp:157] Top shape: 1 64 287 349 (6410432)
I0125 14:20:31.532526 12060 net.cpp:165] Memory required for data: 442694624
I0125 14:20:31.532526 12060 layer_factory.cpp:58] Creating layer conv2_1
I0125 14:20:31.533027 12060 net.cpp:100] Creating Layer conv2_1
I0125 14:20:31.533027 12060 net.cpp:434] conv2_1 <- pool1
I0125 14:20:31.533027 12060 net.cpp:408] conv2_1 -> conv2_1
I0125 14:20:31.533529 12060 net.cpp:150] Setting up conv2_1
I0125 14:20:31.533529 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.533529 12060 net.cpp:165] Memory required for data: 493978080
I0125 14:20:31.534030 12060 layer_factory.cpp:58] Creating layer relu2_1
I0125 14:20:31.534030 12060 net.cpp:100] Creating Layer relu2_1
I0125 14:20:31.534030 12060 net.cpp:434] relu2_1 <- conv2_1
I0125 14:20:31.534531 12060 net.cpp:395] relu2_1 -> conv2_1 (in-place)
I0125 14:20:31.534531 12060 net.cpp:150] Setting up relu2_1
I0125 14:20:31.534531 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.535032 12060 net.cpp:165] Memory required for data: 545261536
I0125 14:20:31.535032 12060 layer_factory.cpp:58] Creating layer conv2_2
I0125 14:20:31.535032 12060 net.cpp:100] Creating Layer conv2_2
I0125 14:20:31.535533 12060 net.cpp:434] conv2_2 <- conv2_1
I0125 14:20:31.535533 12060 net.cpp:408] conv2_2 -> conv2_2
I0125 14:20:31.536537 12060 net.cpp:150] Setting up conv2_2
I0125 14:20:31.536537 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.537039 12060 net.cpp:165] Memory required for data: 596544992
I0125 14:20:31.537039 12060 layer_factory.cpp:58] Creating layer relu2_2
I0125 14:20:31.537039 12060 net.cpp:100] Creating Layer relu2_2
I0125 14:20:31.537539 12060 net.cpp:434] relu2_2 <- conv2_2
I0125 14:20:31.537539 12060 net.cpp:395] relu2_2 -> conv2_2 (in-place)
I0125 14:20:31.538048 12060 net.cpp:150] Setting up relu2_2
I0125 14:20:31.538048 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.538542 12060 net.cpp:165] Memory required for data: 647828448
I0125 14:20:31.538542 12060 layer_factory.cpp:58] Creating layer pool2
I0125 14:20:31.538542 12060 net.cpp:100] Creating Layer pool2
I0125 14:20:31.539043 12060 net.cpp:434] pool2 <- conv2_2
I0125 14:20:31.540547 12060 net.cpp:408] pool2 -> pool2
I0125 14:20:31.540547 12060 net.cpp:150] Setting up pool2
I0125 14:20:31.541049 12060 net.cpp:157] Top shape: 1 128 144 175 (3225600)
I0125 14:20:31.541049 12060 net.cpp:165] Memory required for data: 660730848
I0125 14:20:31.541553 12060 layer_factory.cpp:58] Creating layer conv3_1
I0125 14:20:31.541553 12060 net.cpp:100] Creating Layer conv3_1
I0125 14:20:31.541553 12060 net.cpp:434] conv3_1 <- pool2
I0125 14:20:31.542052 12060 net.cpp:408] conv3_1 -> conv3_1
I0125 14:20:31.543053 12060 net.cpp:150] Setting up conv3_1
I0125 14:20:31.543053 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.543555 12060 net.cpp:165] Memory required for data: 686535648
I0125 14:20:31.543555 12060 layer_factory.cpp:58] Creating layer relu3_1
I0125 14:20:31.543555 12060 net.cpp:100] Creating Layer relu3_1
I0125 14:20:31.544057 12060 net.cpp:434] relu3_1 <- conv3_1
I0125 14:20:31.544057 12060 net.cpp:395] relu3_1 -> conv3_1 (in-place)
I0125 14:20:31.544562 12060 net.cpp:150] Setting up relu3_1
I0125 14:20:31.544562 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.545059 12060 net.cpp:165] Memory required for data: 712340448
I0125 14:20:31.545059 12060 layer_factory.cpp:58] Creating layer conv3_2
I0125 14:20:31.545059 12060 net.cpp:100] Creating Layer conv3_2
I0125 14:20:31.545562 12060 net.cpp:434] conv3_2 <- conv3_1
I0125 14:20:31.545562 12060 net.cpp:408] conv3_2 -> conv3_2
I0125 14:20:31.547065 12060 net.cpp:150] Setting up conv3_2
I0125 14:20:31.547065 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.547065 12060 net.cpp:165] Memory required for data: 738145248
I0125 14:20:31.547572 12060 layer_factory.cpp:58] Creating layer relu3_2
I0125 14:20:31.547572 12060 net.cpp:100] Creating Layer relu3_2
I0125 14:20:31.548068 12060 net.cpp:434] relu3_2 <- conv3_2
I0125 14:20:31.548068 12060 net.cpp:395] relu3_2 -> conv3_2 (in-place)
I0125 14:20:31.548569 12060 net.cpp:150] Setting up relu3_2
I0125 14:20:31.548569 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.548569 12060 net.cpp:165] Memory required for data: 763950048
I0125 14:20:31.549070 12060 layer_factory.cpp:58] Creating layer conv3_3
I0125 14:20:31.549070 12060 net.cpp:100] Creating Layer conv3_3
I0125 14:20:31.549571 12060 net.cpp:434] conv3_3 <- conv3_2
I0125 14:20:31.549571 12060 net.cpp:408] conv3_3 -> conv3_3
I0125 14:20:31.551075 12060 net.cpp:150] Setting up conv3_3
I0125 14:20:31.551075 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.551075 12060 net.cpp:165] Memory required for data: 789754848
I0125 14:20:31.551578 12060 layer_factory.cpp:58] Creating layer relu3_3
I0125 14:20:31.551578 12060 net.cpp:100] Creating Layer relu3_3
I0125 14:20:31.552084 12060 net.cpp:434] relu3_3 <- conv3_3
I0125 14:20:31.552084 12060 net.cpp:395] relu3_3 -> conv3_3 (in-place)
I0125 14:20:31.552579 12060 net.cpp:150] Setting up relu3_3
I0125 14:20:31.552579 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.553081 12060 net.cpp:165] Memory required for data: 815559648
I0125 14:20:31.553081 12060 layer_factory.cpp:58] Creating layer pool3
I0125 14:20:31.553081 12060 net.cpp:100] Creating Layer pool3
I0125 14:20:31.553582 12060 net.cpp:434] pool3 <- conv3_3
I0125 14:20:31.553582 12060 net.cpp:408] pool3 -> pool3
I0125 14:20:31.554083 12060 net.cpp:150] Setting up pool3
I0125 14:20:31.554083 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.554083 12060 net.cpp:165] Memory required for data: 822047712
I0125 14:20:31.554591 12060 layer_factory.cpp:58] Creating layer pool3_pool3_0_split
I0125 14:20:31.556088 12060 net.cpp:100] Creating Layer pool3_pool3_0_split
I0125 14:20:31.556088 12060 net.cpp:434] pool3_pool3_0_split <- pool3
I0125 14:20:31.556597 12060 net.cpp:408] pool3_pool3_0_split -> pool3_pool3_0_split_0
I0125 14:20:31.556597 12060 net.cpp:408] pool3_pool3_0_split -> pool3_pool3_0_split_1
I0125 14:20:31.557091 12060 net.cpp:150] Setting up pool3_pool3_0_split
I0125 14:20:31.557091 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.557091 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.557592 12060 net.cpp:165] Memory required for data: 835023840
I0125 14:20:31.557592 12060 layer_factory.cpp:58] Creating layer conv4_1
I0125 14:20:31.558094 12060 net.cpp:100] Creating Layer conv4_1
I0125 14:20:31.558094 12060 net.cpp:434] conv4_1 <- pool3_pool3_0_split_0
I0125 14:20:31.558094 12060 net.cpp:408] conv4_1 -> conv4_1
I0125 14:20:31.562608 12060 net.cpp:150] Setting up conv4_1
I0125 14:20:31.562608 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.562608 12060 net.cpp:165] Memory required for data: 847999968
I0125 14:20:31.563110 12060 layer_factory.cpp:58] Creating layer relu4_1
I0125 14:20:31.563110 12060 net.cpp:100] Creating Layer relu4_1
I0125 14:20:31.563609 12060 net.cpp:434] relu4_1 <- conv4_1
I0125 14:20:31.563609 12060 net.cpp:395] relu4_1 -> conv4_1 (in-place)
I0125 14:20:31.563609 12060 net.cpp:150] Setting up relu4_1
I0125 14:20:31.564110 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.564110 12060 net.cpp:165] Memory required for data: 860976096
I0125 14:20:31.564611 12060 layer_factory.cpp:58] Creating layer conv4_2
I0125 14:20:31.564611 12060 net.cpp:100] Creating Layer conv4_2
I0125 14:20:31.565114 12060 net.cpp:434] conv4_2 <- conv4_1
I0125 14:20:31.565114 12060 net.cpp:408] conv4_2 -> conv4_2
I0125 14:20:31.569628 12060 net.cpp:150] Setting up conv4_2
I0125 14:20:31.569628 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.570127 12060 net.cpp:165] Memory required for data: 873952224
I0125 14:20:31.572139 12060 layer_factory.cpp:58] Creating layer relu4_2
I0125 14:20:31.572139 12060 net.cpp:100] Creating Layer relu4_2
I0125 14:20:31.572633 12060 net.cpp:434] relu4_2 <- conv4_2
I0125 14:20:31.572633 12060 net.cpp:395] relu4_2 -> conv4_2 (in-place)
I0125 14:20:31.573134 12060 net.cpp:150] Setting up relu4_2
I0125 14:20:31.573134 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.573134 12060 net.cpp:165] Memory required for data: 886928352
I0125 14:20:31.573642 12060 layer_factory.cpp:58] Creating layer conv4_3
I0125 14:20:31.573642 12060 net.cpp:100] Creating Layer conv4_3
I0125 14:20:31.574136 12060 net.cpp:434] conv4_3 <- conv4_2
I0125 14:20:31.574136 12060 net.cpp:408] conv4_3 -> conv4_3
I0125 14:20:31.579152 12060 net.cpp:150] Setting up conv4_3
I0125 14:20:31.579152 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.579653 12060 net.cpp:165] Memory required for data: 899904480
I0125 14:20:31.579653 12060 layer_factory.cpp:58] Creating layer relu4_3
I0125 14:20:31.580152 12060 net.cpp:100] Creating Layer relu4_3
I0125 14:20:31.580152 12060 net.cpp:434] relu4_3 <- conv4_3
I0125 14:20:31.580152 12060 net.cpp:395] relu4_3 -> conv4_3 (in-place)
I0125 14:20:31.580664 12060 net.cpp:150] Setting up relu4_3
I0125 14:20:31.580664 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.581156 12060 net.cpp:165] Memory required for data: 912880608
I0125 14:20:31.581156 12060 layer_factory.cpp:58] Creating layer pool4
I0125 14:20:31.581156 12060 net.cpp:100] Creating Layer pool4
I0125 14:20:31.581657 12060 net.cpp:434] pool4 <- conv4_3
I0125 14:20:31.581657 12060 net.cpp:408] pool4 -> pool4
I0125 14:20:31.581657 12060 net.cpp:150] Setting up pool4
I0125 14:20:31.582165 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.582165 12060 net.cpp:165] Memory required for data: 916124640
I0125 14:20:31.582660 12060 layer_factory.cpp:58] Creating layer pool4_pool4_0_split
I0125 14:20:31.582660 12060 net.cpp:100] Creating Layer pool4_pool4_0_split
I0125 14:20:31.582660 12060 net.cpp:434] pool4_pool4_0_split <- pool4
I0125 14:20:31.583161 12060 net.cpp:408] pool4_pool4_0_split -> pool4_pool4_0_split_0
I0125 14:20:31.583161 12060 net.cpp:408] pool4_pool4_0_split -> pool4_pool4_0_split_1
I0125 14:20:31.583662 12060 net.cpp:150] Setting up pool4_pool4_0_split
I0125 14:20:31.583662 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.583662 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.584163 12060 net.cpp:165] Memory required for data: 922612704
I0125 14:20:31.584163 12060 layer_factory.cpp:58] Creating layer conv5_1
I0125 14:20:31.584163 12060 net.cpp:100] Creating Layer conv5_1
I0125 14:20:31.584666 12060 net.cpp:434] conv5_1 <- pool4_pool4_0_split_0
I0125 14:20:31.584666 12060 net.cpp:408] conv5_1 -> conv5_1
I0125 14:20:31.589105 12060 net.cpp:150] Setting up conv5_1
I0125 14:20:31.589105 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.589609 12060 net.cpp:165] Memory required for data: 925856736
I0125 14:20:31.589609 12060 layer_factory.cpp:58] Creating layer relu5_1
I0125 14:20:31.590106 12060 net.cpp:100] Creating Layer relu5_1
I0125 14:20:31.590106 12060 net.cpp:434] relu5_1 <- conv5_1
I0125 14:20:31.590606 12060 net.cpp:395] relu5_1 -> conv5_1 (in-place)
I0125 14:20:31.590606 12060 net.cpp:150] Setting up relu5_1
I0125 14:20:31.591109 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.591109 12060 net.cpp:165] Memory required for data: 929100768
I0125 14:20:31.591109 12060 layer_factory.cpp:58] Creating layer conv5_2
I0125 14:20:31.591622 12060 net.cpp:100] Creating Layer conv5_2
I0125 14:20:31.591622 12060 net.cpp:434] conv5_2 <- conv5_1
I0125 14:20:31.592116 12060 net.cpp:408] conv5_2 -> conv5_2
I0125 14:20:31.596624 12060 net.cpp:150] Setting up conv5_2
I0125 14:20:31.597126 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.597126 12060 net.cpp:165] Memory required for data: 932344800
I0125 14:20:31.597626 12060 layer_factory.cpp:58] Creating layer relu5_2
I0125 14:20:31.598127 12060 net.cpp:100] Creating Layer relu5_2
I0125 14:20:31.598127 12060 net.cpp:434] relu5_2 <- conv5_2
I0125 14:20:31.598127 12060 net.cpp:395] relu5_2 -> conv5_2 (in-place)
I0125 14:20:31.598629 12060 net.cpp:150] Setting up relu5_2
I0125 14:20:31.598629 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.599129 12060 net.cpp:165] Memory required for data: 935588832
I0125 14:20:31.599129 12060 layer_factory.cpp:58] Creating layer conv5_3
I0125 14:20:31.599632 12060 net.cpp:100] Creating Layer conv5_3
I0125 14:20:31.599632 12060 net.cpp:434] conv5_3 <- conv5_2
I0125 14:20:31.600132 12060 net.cpp:408] conv5_3 -> conv5_3
I0125 14:20:31.604146 12060 net.cpp:150] Setting up conv5_3
I0125 14:20:31.604146 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.604645 12060 net.cpp:165] Memory required for data: 938832864
I0125 14:20:31.604645 12060 layer_factory.cpp:58] Creating layer relu5_3
I0125 14:20:31.605146 12060 net.cpp:100] Creating Layer relu5_3
I0125 14:20:31.605146 12060 net.cpp:434] relu5_3 <- conv5_3
I0125 14:20:31.605648 12060 net.cpp:395] relu5_3 -> conv5_3 (in-place)
I0125 14:20:31.605648 12060 net.cpp:150] Setting up relu5_3
I0125 14:20:31.605648 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.606148 12060 net.cpp:165] Memory required for data: 942076896
I0125 14:20:31.606148 12060 layer_factory.cpp:58] Creating layer pool5
I0125 14:20:31.606148 12060 net.cpp:100] Creating Layer pool5
I0125 14:20:31.606650 12060 net.cpp:434] pool5 <- conv5_3
I0125 14:20:31.606650 12060 net.cpp:408] pool5 -> pool5
I0125 14:20:31.607151 12060 net.cpp:150] Setting up pool5
I0125 14:20:31.607151 12060 net.cpp:157] Top shape: 1 512 18 22 (202752)
I0125 14:20:31.607151 12060 net.cpp:165] Memory required for data: 942887904
I0125 14:20:31.607151 12060 layer_factory.cpp:58] Creating layer fc6
I0125 14:20:31.607652 12060 net.cpp:100] Creating Layer fc6
I0125 14:20:31.607652 12060 net.cpp:434] fc6 <- pool5
I0125 14:20:31.607652 12060 net.cpp:408] fc6 -> fc6
I0125 14:20:31.783622 12060 net.cpp:150] Setting up fc6
I0125 14:20:31.784123 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.784626 12060 net.cpp:165] Memory required for data: 946033632
I0125 14:20:31.785125 12060 layer_factory.cpp:58] Creating layer relu6
I0125 14:20:31.785626 12060 net.cpp:100] Creating Layer relu6
I0125 14:20:31.786128 12060 net.cpp:434] relu6 <- fc6
I0125 14:20:31.786638 12060 net.cpp:395] relu6 -> fc6 (in-place)
I0125 14:20:31.787130 12060 net.cpp:150] Setting up relu6
I0125 14:20:31.787130 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.788146 12060 net.cpp:165] Memory required for data: 949179360
I0125 14:20:31.788646 12060 layer_factory.cpp:58] Creating layer drop6
I0125 14:20:31.789139 12060 net.cpp:100] Creating Layer drop6
I0125 14:20:31.789638 12060 net.cpp:434] drop6 <- fc6
I0125 14:20:31.790138 12060 net.cpp:395] drop6 -> fc6 (in-place)
I0125 14:20:31.790138 12060 net.cpp:150] Setting up drop6
I0125 14:20:31.790639 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.790961 12060 net.cpp:165] Memory required for data: 952325088
I0125 14:20:31.790961 12060 layer_factory.cpp:58] Creating layer fc7
I0125 14:20:31.791463 12060 net.cpp:100] Creating Layer fc7
I0125 14:20:31.791463 12060 net.cpp:434] fc7 <- fc6
I0125 14:20:31.791966 12060 net.cpp:408] fc7 -> fc7
I0125 14:20:31.823858 12060 net.cpp:150] Setting up fc7
I0125 14:20:31.824303 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.825109 12060 net.cpp:165] Memory required for data: 955470816
I0125 14:20:31.825577 12060 layer_factory.cpp:58] Creating layer relu7
I0125 14:20:31.825577 12060 net.cpp:100] Creating Layer relu7
I0125 14:20:31.826086 12060 net.cpp:434] relu7 <- fc7
I0125 14:20:31.826580 12060 net.cpp:395] relu7 -> fc7 (in-place)
I0125 14:20:31.827083 12060 net.cpp:150] Setting up relu7
I0125 14:20:31.827582 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.827582 12060 net.cpp:165] Memory required for data: 958616544
I0125 14:20:31.828084 12060 layer_factory.cpp:58] Creating layer drop7
I0125 14:20:31.828586 12060 net.cpp:100] Creating Layer drop7
I0125 14:20:31.828586 12060 net.cpp:434] drop7 <- fc7
I0125 14:20:31.828586 12060 net.cpp:395] drop7 -> fc7 (in-place)
I0125 14:20:31.829092 12060 net.cpp:150] Setting up drop7
I0125 14:20:31.829092 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:31.829092 12060 net.cpp:165] Memory required for data: 961762272
I0125 14:20:31.829591 12060 layer_factory.cpp:58] Creating layer score_frtest
I0125 14:20:31.830090 12060 net.cpp:100] Creating Layer score_frtest
I0125 14:20:31.830090 12060 net.cpp:434] score_frtest <- fc7
I0125 14:20:31.830600 12060 net.cpp:408] score_frtest -> score_frtest
I0125 14:20:31.831094 12060 net.cpp:150] Setting up score_frtest
I0125 14:20:31.831094 12060 net.cpp:157] Top shape: 1 21 12 16 (4032)
I0125 14:20:31.831094 12060 net.cpp:165] Memory required for data: 961778400
I0125 14:20:31.831094 12060 layer_factory.cpp:58] Creating layer upscore2test
I0125 14:20:31.831593 12060 net.cpp:100] Creating Layer upscore2test
I0125 14:20:31.831593 12060 net.cpp:434] upscore2test <- score_frtest
I0125 14:20:31.832094 12060 net.cpp:408] upscore2test -> upscore2test
I0125 14:20:31.832094 12060 net.cpp:150] Setting up upscore2test
I0125 14:20:31.832094 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:31.832595 12060 net.cpp:165] Memory required for data: 961852656
I0125 14:20:31.832595 12060 layer_factory.cpp:58] Creating layer upscore2test_upscore2test_0_split
I0125 14:20:31.833097 12060 net.cpp:100] Creating Layer upscore2test_upscore2test_0_split
I0125 14:20:31.833097 12060 net.cpp:434] upscore2test_upscore2test_0_split <- upscore2test
I0125 14:20:31.833097 12060 net.cpp:408] upscore2test_upscore2test_0_split -> upscore2test_upscore2test_0_split_0
I0125 14:20:31.833097 12060 net.cpp:408] upscore2test_upscore2test_0_split -> upscore2test_upscore2test_0_split_1
I0125 14:20:31.833598 12060 net.cpp:150] Setting up upscore2test_upscore2test_0_split
I0125 14:20:31.833598 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:31.834100 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:31.835134 12060 net.cpp:165] Memory required for data: 962001168
I0125 14:20:31.835134 12060 layer_factory.cpp:58] Creating layer score_pool4test
I0125 14:20:31.835603 12060 net.cpp:100] Creating Layer score_pool4test
I0125 14:20:31.835603 12060 net.cpp:434] score_pool4test <- pool4_pool4_0_split_1
I0125 14:20:31.836105 12060 net.cpp:408] score_pool4test -> score_pool4test
I0125 14:20:31.836105 12060 net.cpp:150] Setting up score_pool4test
I0125 14:20:31.836105 12060 net.cpp:157] Top shape: 1 21 36 44 (33264)
I0125 14:20:31.836606 12060 net.cpp:165] Memory required for data: 962134224
I0125 14:20:31.836606 12060 layer_factory.cpp:58] Creating layer score_pool4c
I0125 14:20:31.836606 12060 net.cpp:100] Creating Layer score_pool4c
I0125 14:20:31.837108 12060 net.cpp:434] score_pool4c <- score_pool4test
I0125 14:20:31.837108 12060 net.cpp:434] score_pool4c <- upscore2test_upscore2test_0_split_0
I0125 14:20:31.837610 12060 net.cpp:408] score_pool4c -> score_pool4c
I0125 14:20:31.837610 12060 net.cpp:150] Setting up score_pool4c
I0125 14:20:31.838111 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:31.838111 12060 net.cpp:165] Memory required for data: 962208480
I0125 14:20:31.838111 12060 layer_factory.cpp:58] Creating layer fuse_pool4
I0125 14:20:31.838611 12060 net.cpp:100] Creating Layer fuse_pool4
I0125 14:20:31.838611 12060 net.cpp:434] fuse_pool4 <- upscore2test_upscore2test_0_split_1
I0125 14:20:31.839113 12060 net.cpp:434] fuse_pool4 <- score_pool4c
I0125 14:20:31.839113 12060 net.cpp:408] fuse_pool4 -> fuse_pool4
I0125 14:20:31.839113 12060 net.cpp:150] Setting up fuse_pool4
I0125 14:20:31.839614 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:31.839614 12060 net.cpp:165] Memory required for data: 962282736
I0125 14:20:31.839614 12060 layer_factory.cpp:58] Creating layer upscore_pool4test
I0125 14:20:31.840116 12060 net.cpp:100] Creating Layer upscore_pool4test
I0125 14:20:31.840116 12060 net.cpp:434] upscore_pool4test <- fuse_pool4
I0125 14:20:31.840116 12060 net.cpp:408] upscore_pool4test -> upscore_pool4test
I0125 14:20:31.840617 12060 net.cpp:150] Setting up upscore_pool4test
I0125 14:20:31.840617 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:31.841119 12060 net.cpp:165] Memory required for data: 962600256
I0125 14:20:31.841119 12060 layer_factory.cpp:58] Creating layer upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:31.841119 12060 net.cpp:100] Creating Layer upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:31.841619 12060 net.cpp:434] upscore_pool4test_upscore_pool4test_0_split <- upscore_pool4test
I0125 14:20:31.841619 12060 net.cpp:408] upscore_pool4test_upscore_pool4test_0_split -> upscore_pool4test_upscore_pool4test_0_split_0
I0125 14:20:31.841619 12060 net.cpp:408] upscore_pool4test_upscore_pool4test_0_split -> upscore_pool4test_upscore_pool4test_0_split_1
I0125 14:20:31.842121 12060 net.cpp:150] Setting up upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:31.842121 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:31.842622 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:31.842622 12060 net.cpp:165] Memory required for data: 963235296
I0125 14:20:31.842622 12060 layer_factory.cpp:58] Creating layer score_pool3test
I0125 14:20:31.843124 12060 net.cpp:100] Creating Layer score_pool3test
I0125 14:20:31.843124 12060 net.cpp:434] score_pool3test <- pool3_pool3_0_split_1
I0125 14:20:31.843626 12060 net.cpp:408] score_pool3test -> score_pool3test
I0125 14:20:31.843626 12060 net.cpp:150] Setting up score_pool3test
I0125 14:20:31.844126 12060 net.cpp:157] Top shape: 1 21 72 88 (133056)
I0125 14:20:31.844126 12060 net.cpp:165] Memory required for data: 963767520
I0125 14:20:31.844126 12060 layer_factory.cpp:58] Creating layer score_pool3c
I0125 14:20:31.844627 12060 net.cpp:100] Creating Layer score_pool3c
I0125 14:20:31.844627 12060 net.cpp:434] score_pool3c <- score_pool3test
I0125 14:20:31.844627 12060 net.cpp:434] score_pool3c <- upscore_pool4test_upscore_pool4test_0_split_0
I0125 14:20:31.845130 12060 net.cpp:408] score_pool3c -> score_pool3c
I0125 14:20:31.845130 12060 net.cpp:150] Setting up score_pool3c
I0125 14:20:31.845638 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:31.845638 12060 net.cpp:165] Memory required for data: 964085040
I0125 14:20:31.845638 12060 layer_factory.cpp:58] Creating layer fuse_pool3
I0125 14:20:31.846132 12060 net.cpp:100] Creating Layer fuse_pool3
I0125 14:20:31.846132 12060 net.cpp:434] fuse_pool3 <- upscore_pool4test_upscore_pool4test_0_split_1
I0125 14:20:31.846132 12060 net.cpp:434] fuse_pool3 <- score_pool3c
I0125 14:20:31.846637 12060 net.cpp:408] fuse_pool3 -> fuse_pool3
I0125 14:20:31.846637 12060 net.cpp:150] Setting up fuse_pool3
I0125 14:20:31.847134 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:31.847134 12060 net.cpp:165] Memory required for data: 964402560
I0125 14:20:31.847134 12060 layer_factory.cpp:58] Creating layer upscore8test
I0125 14:20:31.847134 12060 net.cpp:100] Creating Layer upscore8test
I0125 14:20:31.847635 12060 net.cpp:434] upscore8test <- fuse_pool3
I0125 14:20:31.847635 12060 net.cpp:408] upscore8test -> upscore8test
I0125 14:20:31.848137 12060 net.cpp:150] Setting up upscore8test
I0125 14:20:31.848137 12060 net.cpp:157] Top shape: 1 21 440 568 (5248320)
I0125 14:20:31.848137 12060 net.cpp:165] Memory required for data: 985395840
I0125 14:20:31.848639 12060 layer_factory.cpp:58] Creating layer score
I0125 14:20:31.848639 12060 net.cpp:100] Creating Layer score
I0125 14:20:31.848639 12060 net.cpp:434] score <- upscore8test
I0125 14:20:31.849140 12060 net.cpp:434] score <- data_data_0_split_1
I0125 14:20:31.849140 12060 net.cpp:408] score -> score
I0125 14:20:31.850677 12060 net.cpp:150] Setting up score
I0125 14:20:31.851146 12060 net.cpp:157] Top shape: 1 21 375 500 (3937500)
I0125 14:20:31.851646 12060 net.cpp:165] Memory required for data: 1001145840
I0125 14:20:31.851646 12060 layer_factory.cpp:58] Creating layer loss
I0125 14:20:31.851646 12060 net.cpp:100] Creating Layer loss
I0125 14:20:31.851646 12060 net.cpp:434] loss <- score
I0125 14:20:31.852149 12060 net.cpp:434] loss <- label
I0125 14:20:31.852149 12060 net.cpp:408] loss -> loss
I0125 14:20:31.852664 12060 layer_factory.cpp:58] Creating layer loss
I0125 14:20:31.861677 12060 net.cpp:150] Setting up loss
I0125 14:20:31.861677 12060 net.cpp:157] Top shape: (1)
I0125 14:20:31.862175 12060 net.cpp:160]     with loss weight 1
I0125 14:20:31.862675 12060 net.cpp:165] Memory required for data: 1001145844
I0125 14:20:31.863185 12060 net.cpp:226] loss needs backward computation.
I0125 14:20:31.863185 12060 net.cpp:226] score needs backward computation.
I0125 14:20:31.863185 12060 net.cpp:226] upscore8test needs backward computation.
I0125 14:20:31.863678 12060 net.cpp:226] fuse_pool3 needs backward computation.
I0125 14:20:31.863678 12060 net.cpp:226] score_pool3c needs backward computation.
I0125 14:20:31.864181 12060 net.cpp:226] score_pool3test needs backward computation.
I0125 14:20:31.864181 12060 net.cpp:226] upscore_pool4test_upscore_pool4test_0_split needs backward computation.
I0125 14:20:31.864181 12060 net.cpp:226] upscore_pool4test needs backward computation.
I0125 14:20:31.864682 12060 net.cpp:226] fuse_pool4 needs backward computation.
I0125 14:20:31.864682 12060 net.cpp:226] score_pool4c needs backward computation.
I0125 14:20:31.864682 12060 net.cpp:226] score_pool4test needs backward computation.
I0125 14:20:31.866186 12060 net.cpp:226] upscore2test_upscore2test_0_split needs backward computation.
I0125 14:20:31.866186 12060 net.cpp:226] upscore2test needs backward computation.
I0125 14:20:31.866186 12060 net.cpp:226] score_frtest needs backward computation.
I0125 14:20:31.866686 12060 net.cpp:226] drop7 needs backward computation.
I0125 14:20:31.866686 12060 net.cpp:226] relu7 needs backward computation.
I0125 14:20:31.867188 12060 net.cpp:226] fc7 needs backward computation.
I0125 14:20:31.867188 12060 net.cpp:226] drop6 needs backward computation.
I0125 14:20:31.867188 12060 net.cpp:226] relu6 needs backward computation.
I0125 14:20:31.867188 12060 net.cpp:226] fc6 needs backward computation.
I0125 14:20:31.867689 12060 net.cpp:226] pool5 needs backward computation.
I0125 14:20:31.867689 12060 net.cpp:226] relu5_3 needs backward computation.
I0125 14:20:31.867689 12060 net.cpp:226] conv5_3 needs backward computation.
I0125 14:20:31.868191 12060 net.cpp:226] relu5_2 needs backward computation.
I0125 14:20:31.868191 12060 net.cpp:226] conv5_2 needs backward computation.
I0125 14:20:31.868191 12060 net.cpp:226] relu5_1 needs backward computation.
I0125 14:20:31.868692 12060 net.cpp:226] conv5_1 needs backward computation.
I0125 14:20:31.868692 12060 net.cpp:226] pool4_pool4_0_split needs backward computation.
I0125 14:20:31.868692 12060 net.cpp:226] pool4 needs backward computation.
I0125 14:20:31.869194 12060 net.cpp:226] relu4_3 needs backward computation.
I0125 14:20:31.869194 12060 net.cpp:226] conv4_3 needs backward computation.
I0125 14:20:31.869194 12060 net.cpp:226] relu4_2 needs backward computation.
I0125 14:20:31.869694 12060 net.cpp:226] conv4_2 needs backward computation.
I0125 14:20:31.869694 12060 net.cpp:226] relu4_1 needs backward computation.
I0125 14:20:31.869694 12060 net.cpp:226] conv4_1 needs backward computation.
I0125 14:20:31.870196 12060 net.cpp:226] pool3_pool3_0_split needs backward computation.
I0125 14:20:31.870196 12060 net.cpp:226] pool3 needs backward computation.
I0125 14:20:31.870196 12060 net.cpp:226] relu3_3 needs backward computation.
I0125 14:20:31.870697 12060 net.cpp:226] conv3_3 needs backward computation.
I0125 14:20:31.870697 12060 net.cpp:226] relu3_2 needs backward computation.
I0125 14:20:31.870697 12060 net.cpp:226] conv3_2 needs backward computation.
I0125 14:20:31.870697 12060 net.cpp:226] relu3_1 needs backward computation.
I0125 14:20:31.871198 12060 net.cpp:226] conv3_1 needs backward computation.
I0125 14:20:31.871198 12060 net.cpp:226] pool2 needs backward computation.
I0125 14:20:31.871198 12060 net.cpp:226] relu2_2 needs backward computation.
I0125 14:20:31.871701 12060 net.cpp:226] conv2_2 needs backward computation.
I0125 14:20:31.871701 12060 net.cpp:226] relu2_1 needs backward computation.
I0125 14:20:31.871701 12060 net.cpp:226] conv2_1 needs backward computation.
I0125 14:20:31.872201 12060 net.cpp:226] pool1 needs backward computation.
I0125 14:20:31.872201 12060 net.cpp:226] relu1_2 needs backward computation.
I0125 14:20:31.872201 12060 net.cpp:226] conv1_2 needs backward computation.
I0125 14:20:31.872702 12060 net.cpp:226] relu1_1 needs backward computation.
I0125 14:20:31.872702 12060 net.cpp:226] conv1_1 needs backward computation.
I0125 14:20:31.872702 12060 net.cpp:228] data_data_0_split does not need backward computation.
I0125 14:20:31.873204 12060 net.cpp:228] data does not need backward computation.
I0125 14:20:31.873204 12060 net.cpp:270] This network produces output loss
I0125 14:20:31.873204 12060 net.cpp:283] Network initialization done.
I0125 14:20:31.889767 12060 solver.cpp:181] Creating test net (#0) specified by test_net file: C:\Users\CGVU IF Edinburgh\Downloads\New folder\caffe\python\pascalcontext-fcn8s\val.prototxt
I0125 14:20:31.890269 12060 net.cpp:58] Initializing net from parameters:
state {
  phase: TEST
}
layer {
  name: "data"
  type: "Python"
  top: "data"
  top: "label"
  python_param {
    module: "pascalcontext_layers"
    layer: "PASCALContextSegDataLayer"
    param_str: "{\'context_dir\': \'C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\data\\pascal-context\', \'seed\': 1337, \'split\': \'val\', \'voc_dir\': \'C:\\Users\\CGVU IF Edinburgh\\Downloads\\New folder\\caffe\\python\\data\\pascal\'}"
  }
}
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "data"
  top: "conv1_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 100
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv3_3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3"
  top: "conv4_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_2"
  type: "ReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu4_3"
  type: "ReLU"
  bottom: "conv4_3"
  top: "conv4_3"
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv4_3"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv5_1"
  type: "Convolution"
  bottom: "pool4"
  top: "conv5_1"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_1"
  type: "ReLU"
  bottom: "conv5_1"
  top: "conv5_1"
}
layer {
  name: "conv5_2"
  type: "Convolution"
  bottom: "conv5_1"
  top: "conv5_2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_2"
  type: "ReLU"
  bottom: "conv5_2"
  top: "conv5_2"
}
layer {
  name: "conv5_3"
  type: "Convolution"
  bottom: "conv5_2"
  top: "conv5_3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
    stride: 1
  }
}
layer {
  name: "relu5_3"
  type: "ReLU"
  bottom: "conv5_3"
  top: "conv5_3"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5_3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "Convolution"
  bottom: "pool5"
  top: "fc6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "Convolution"
  bottom: "fc6"
  top: "fc7"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 4096
    pad: 0
    kernel_size: 1
    stride: 1
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "score_frtest"
  type: "Convolution"
  bottom: "fc7"
  top: "score_frtest"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "upscore2test"
  type: "Deconvolution"
  bottom: "score_frtest"
  top: "upscore2test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool4test"
  type: "Convolution"
  bottom: "pool4"
  top: "score_pool4test"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool4c"
  type: "Crop"
  bottom: "score_pool4test"
  bottom: "upscore2test"
  top: "score_pool4c"
  crop_param {
    axis: 2
    offset: 5
  }
}
layer {
  name: "fuse_pool4"
  type: "Eltwise"
  bottom: "upscore2test"
  bottom: "score_pool4c"
  top: "fuse_pool4"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore_pool4test"
  type: "Deconvolution"
  bottom: "fuse_pool4"
  top: "upscore_pool4test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 4
    stride: 2
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool3test"
  type: "Convolution"
  bottom: "pool3"
  top: "score_pool3test"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 21
    pad: 0
    kernel_size: 1
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score_pool3c"
  type: "Crop"
  bottom: "score_pool3test"
  bottom: "upscore_pool4test"
  top: "score_pool3c"
  crop_param {
    axis: 2
    offset: 9
  }
}
layer {
  name: "fuse_pool3"
  type: "Eltwise"
  bottom: "upscore_pool4test"
  bottom: "score_pool3c"
  top: "fuse_pool3"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "upscore8test"
  type: "Deconvolution"
  bottom: "fuse_pool3"
  top: "upscore8test"
  param {
    lr_mult: 0
  }
  convolution_param {
    num_output: 21
    bias_term: false
    kernel_size: 16
    stride: 8
    weight_filler {
      type: "constant"
      value: 0.2
    }
  }
}
layer {
  name: "score"
  type: "Crop"
  bottom: "upscore8test"
  bottom: "data"
  top: "score"
  crop_param {
    axis: 2
    offset: 31
  }
}
layer {
  name: "loss"
  type: "SoftmaxWithLoss"
  bottom: "score"
  bottom: "label"
  top: "loss"
  loss_param {
    ignore_label: 255
    normalize: false
  }
}
I0125 14:20:31.891773 12060 layer_factory.cpp:58] Creating layer data
I0125 14:20:31.892287 12060 net.cpp:100] Creating Layer data
I0125 14:20:31.892783 12060 net.cpp:408] data -> data
I0125 14:20:31.893782 12060 net.cpp:408] data -> label
I0125 14:20:31.920148 12060 net.cpp:150] Setting up data
I0125 14:20:31.920148 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.920650 12060 net.cpp:157] Top shape: 1 1 375 500 (187500)
I0125 14:20:31.920650 12060 net.cpp:165] Memory required for data: 3000000
I0125 14:20:31.921651 12060 layer_factory.cpp:58] Creating layer data_data_0_split
I0125 14:20:31.921651 12060 net.cpp:100] Creating Layer data_data_0_split
I0125 14:20:31.922153 12060 net.cpp:434] data_data_0_split <- data
I0125 14:20:31.922153 12060 net.cpp:408] data_data_0_split -> data_data_0_split_0
I0125 14:20:31.922654 12060 net.cpp:408] data_data_0_split -> data_data_0_split_1
I0125 14:20:31.922654 12060 net.cpp:150] Setting up data_data_0_split
I0125 14:20:31.922654 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.923156 12060 net.cpp:157] Top shape: 1 3 375 500 (562500)
I0125 14:20:31.923156 12060 net.cpp:165] Memory required for data: 7500000
I0125 14:20:31.923657 12060 layer_factory.cpp:58] Creating layer conv1_1
I0125 14:20:31.923657 12060 net.cpp:100] Creating Layer conv1_1
I0125 14:20:31.923657 12060 net.cpp:434] conv1_1 <- data_data_0_split_0
I0125 14:20:31.924159 12060 net.cpp:408] conv1_1 -> conv1_1
I0125 14:20:31.925663 12060 net.cpp:150] Setting up conv1_1
I0125 14:20:31.926164 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.926164 12060 net.cpp:165] Memory required for data: 109888224
I0125 14:20:31.926164 12060 layer_factory.cpp:58] Creating layer relu1_1
I0125 14:20:31.926666 12060 net.cpp:100] Creating Layer relu1_1
I0125 14:20:31.926666 12060 net.cpp:434] relu1_1 <- conv1_1
I0125 14:20:31.926666 12060 net.cpp:395] relu1_1 -> conv1_1 (in-place)
I0125 14:20:31.926666 12060 net.cpp:150] Setting up relu1_1
I0125 14:20:31.927166 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.927166 12060 net.cpp:165] Memory required for data: 212276448
I0125 14:20:31.927667 12060 layer_factory.cpp:58] Creating layer conv1_2
I0125 14:20:31.927667 12060 net.cpp:100] Creating Layer conv1_2
I0125 14:20:31.927667 12060 net.cpp:434] conv1_2 <- conv1_1
I0125 14:20:31.927667 12060 net.cpp:408] conv1_2 -> conv1_2
I0125 14:20:31.930176 12060 net.cpp:150] Setting up conv1_2
I0125 14:20:31.930176 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.930176 12060 net.cpp:165] Memory required for data: 314664672
I0125 14:20:31.930176 12060 layer_factory.cpp:58] Creating layer relu1_2
I0125 14:20:31.930675 12060 net.cpp:100] Creating Layer relu1_2
I0125 14:20:31.930675 12060 net.cpp:434] relu1_2 <- conv1_2
I0125 14:20:31.930675 12060 net.cpp:395] relu1_2 -> conv1_2 (in-place)
I0125 14:20:31.931177 12060 net.cpp:150] Setting up relu1_2
I0125 14:20:31.931177 12060 net.cpp:157] Top shape: 1 64 573 698 (25597056)
I0125 14:20:31.931177 12060 net.cpp:165] Memory required for data: 417052896
I0125 14:20:31.931679 12060 layer_factory.cpp:58] Creating layer pool1
I0125 14:20:31.931679 12060 net.cpp:100] Creating Layer pool1
I0125 14:20:31.931679 12060 net.cpp:434] pool1 <- conv1_2
I0125 14:20:31.932180 12060 net.cpp:408] pool1 -> pool1
I0125 14:20:31.932180 12060 net.cpp:150] Setting up pool1
I0125 14:20:31.932180 12060 net.cpp:157] Top shape: 1 64 287 349 (6410432)
I0125 14:20:31.932682 12060 net.cpp:165] Memory required for data: 442694624
I0125 14:20:31.932682 12060 layer_factory.cpp:58] Creating layer conv2_1
I0125 14:20:31.932682 12060 net.cpp:100] Creating Layer conv2_1
I0125 14:20:31.933183 12060 net.cpp:434] conv2_1 <- pool1
I0125 14:20:31.933183 12060 net.cpp:408] conv2_1 -> conv2_1
I0125 14:20:31.933683 12060 net.cpp:150] Setting up conv2_1
I0125 14:20:31.933683 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.933683 12060 net.cpp:165] Memory required for data: 493978080
I0125 14:20:31.933683 12060 layer_factory.cpp:58] Creating layer relu2_1
I0125 14:20:31.934186 12060 net.cpp:100] Creating Layer relu2_1
I0125 14:20:31.934186 12060 net.cpp:434] relu2_1 <- conv2_1
I0125 14:20:31.934186 12060 net.cpp:395] relu2_1 -> conv2_1 (in-place)
I0125 14:20:31.934686 12060 net.cpp:150] Setting up relu2_1
I0125 14:20:31.934686 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.934686 12060 net.cpp:165] Memory required for data: 545261536
I0125 14:20:31.935187 12060 layer_factory.cpp:58] Creating layer conv2_2
I0125 14:20:31.935187 12060 net.cpp:100] Creating Layer conv2_2
I0125 14:20:31.935187 12060 net.cpp:434] conv2_2 <- conv2_1
I0125 14:20:31.935689 12060 net.cpp:408] conv2_2 -> conv2_2
I0125 14:20:31.935689 12060 net.cpp:150] Setting up conv2_2
I0125 14:20:31.935689 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.936190 12060 net.cpp:165] Memory required for data: 596544992
I0125 14:20:31.936190 12060 layer_factory.cpp:58] Creating layer relu2_2
I0125 14:20:31.936691 12060 net.cpp:100] Creating Layer relu2_2
I0125 14:20:31.936691 12060 net.cpp:434] relu2_2 <- conv2_2
I0125 14:20:31.936691 12060 net.cpp:395] relu2_2 -> conv2_2 (in-place)
I0125 14:20:31.937193 12060 net.cpp:150] Setting up relu2_2
I0125 14:20:31.937193 12060 net.cpp:157] Top shape: 1 128 287 349 (12820864)
I0125 14:20:31.937695 12060 net.cpp:165] Memory required for data: 647828448
I0125 14:20:31.937695 12060 layer_factory.cpp:58] Creating layer pool2
I0125 14:20:31.937695 12060 net.cpp:100] Creating Layer pool2
I0125 14:20:31.938205 12060 net.cpp:434] pool2 <- conv2_2
I0125 14:20:31.938205 12060 net.cpp:408] pool2 -> pool2
I0125 14:20:31.938697 12060 net.cpp:150] Setting up pool2
I0125 14:20:31.938697 12060 net.cpp:157] Top shape: 1 128 144 175 (3225600)
I0125 14:20:31.938697 12060 net.cpp:165] Memory required for data: 660730848
I0125 14:20:31.939205 12060 layer_factory.cpp:58] Creating layer conv3_1
I0125 14:20:31.939205 12060 net.cpp:100] Creating Layer conv3_1
I0125 14:20:31.939205 12060 net.cpp:434] conv3_1 <- pool2
I0125 14:20:31.939705 12060 net.cpp:408] conv3_1 -> conv3_1
I0125 14:20:31.940702 12060 net.cpp:150] Setting up conv3_1
I0125 14:20:31.940702 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.941211 12060 net.cpp:165] Memory required for data: 686535648
I0125 14:20:31.941211 12060 layer_factory.cpp:58] Creating layer relu3_1
I0125 14:20:31.941705 12060 net.cpp:100] Creating Layer relu3_1
I0125 14:20:31.941705 12060 net.cpp:434] relu3_1 <- conv3_1
I0125 14:20:31.941705 12060 net.cpp:395] relu3_1 -> conv3_1 (in-place)
I0125 14:20:31.943209 12060 net.cpp:150] Setting up relu3_1
I0125 14:20:31.943711 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.943711 12060 net.cpp:165] Memory required for data: 712340448
I0125 14:20:31.943711 12060 layer_factory.cpp:58] Creating layer conv3_2
I0125 14:20:31.944212 12060 net.cpp:100] Creating Layer conv3_2
I0125 14:20:31.944212 12060 net.cpp:434] conv3_2 <- conv3_1
I0125 14:20:31.944713 12060 net.cpp:408] conv3_2 -> conv3_2
I0125 14:20:31.946132 12060 net.cpp:150] Setting up conv3_2
I0125 14:20:31.946132 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.946635 12060 net.cpp:165] Memory required for data: 738145248
I0125 14:20:31.946635 12060 layer_factory.cpp:58] Creating layer relu3_2
I0125 14:20:31.946635 12060 net.cpp:100] Creating Layer relu3_2
I0125 14:20:31.947141 12060 net.cpp:434] relu3_2 <- conv3_2
I0125 14:20:31.947141 12060 net.cpp:395] relu3_2 -> conv3_2 (in-place)
I0125 14:20:31.947638 12060 net.cpp:150] Setting up relu3_2
I0125 14:20:31.947638 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.948138 12060 net.cpp:165] Memory required for data: 763950048
I0125 14:20:31.948138 12060 layer_factory.cpp:58] Creating layer conv3_3
I0125 14:20:31.948138 12060 net.cpp:100] Creating Layer conv3_3
I0125 14:20:31.948644 12060 net.cpp:434] conv3_3 <- conv3_2
I0125 14:20:31.948644 12060 net.cpp:408] conv3_3 -> conv3_3
I0125 14:20:31.950143 12060 net.cpp:150] Setting up conv3_3
I0125 14:20:31.950645 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.950645 12060 net.cpp:165] Memory required for data: 789754848
I0125 14:20:31.950645 12060 layer_factory.cpp:58] Creating layer relu3_3
I0125 14:20:31.951146 12060 net.cpp:100] Creating Layer relu3_3
I0125 14:20:31.951146 12060 net.cpp:434] relu3_3 <- conv3_3
I0125 14:20:31.951654 12060 net.cpp:395] relu3_3 -> conv3_3 (in-place)
I0125 14:20:31.951654 12060 net.cpp:150] Setting up relu3_3
I0125 14:20:31.952155 12060 net.cpp:157] Top shape: 1 256 144 175 (6451200)
I0125 14:20:31.952155 12060 net.cpp:165] Memory required for data: 815559648
I0125 14:20:31.952651 12060 layer_factory.cpp:58] Creating layer pool3
I0125 14:20:31.952651 12060 net.cpp:100] Creating Layer pool3
I0125 14:20:31.952651 12060 net.cpp:434] pool3 <- conv3_3
I0125 14:20:31.953152 12060 net.cpp:408] pool3 -> pool3
I0125 14:20:31.953152 12060 net.cpp:150] Setting up pool3
I0125 14:20:31.953654 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.953654 12060 net.cpp:165] Memory required for data: 822047712
I0125 14:20:31.953654 12060 layer_factory.cpp:58] Creating layer pool3_pool3_0_split
I0125 14:20:31.954154 12060 net.cpp:100] Creating Layer pool3_pool3_0_split
I0125 14:20:31.954154 12060 net.cpp:434] pool3_pool3_0_split <- pool3
I0125 14:20:31.954656 12060 net.cpp:408] pool3_pool3_0_split -> pool3_pool3_0_split_0
I0125 14:20:31.954656 12060 net.cpp:408] pool3_pool3_0_split -> pool3_pool3_0_split_1
I0125 14:20:31.955169 12060 net.cpp:150] Setting up pool3_pool3_0_split
I0125 14:20:31.955169 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.955169 12060 net.cpp:157] Top shape: 1 256 72 88 (1622016)
I0125 14:20:31.955659 12060 net.cpp:165] Memory required for data: 835023840
I0125 14:20:31.955659 12060 layer_factory.cpp:58] Creating layer conv4_1
I0125 14:20:31.956161 12060 net.cpp:100] Creating Layer conv4_1
I0125 14:20:31.956161 12060 net.cpp:434] conv4_1 <- pool3_pool3_0_split_0
I0125 14:20:31.956161 12060 net.cpp:408] conv4_1 -> conv4_1
I0125 14:20:31.959168 12060 net.cpp:150] Setting up conv4_1
I0125 14:20:31.959168 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.959669 12060 net.cpp:165] Memory required for data: 847999968
I0125 14:20:31.959669 12060 layer_factory.cpp:58] Creating layer relu4_1
I0125 14:20:31.960170 12060 net.cpp:100] Creating Layer relu4_1
I0125 14:20:31.960170 12060 net.cpp:434] relu4_1 <- conv4_1
I0125 14:20:31.960685 12060 net.cpp:395] relu4_1 -> conv4_1 (in-place)
I0125 14:20:31.960685 12060 net.cpp:150] Setting up relu4_1
I0125 14:20:31.960685 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.961172 12060 net.cpp:165] Memory required for data: 860976096
I0125 14:20:31.961172 12060 layer_factory.cpp:58] Creating layer conv4_2
I0125 14:20:31.961674 12060 net.cpp:100] Creating Layer conv4_2
I0125 14:20:31.961674 12060 net.cpp:434] conv4_2 <- conv4_1
I0125 14:20:31.962175 12060 net.cpp:408] conv4_2 -> conv4_2
I0125 14:20:31.966691 12060 net.cpp:150] Setting up conv4_2
I0125 14:20:31.966691 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.967190 12060 net.cpp:165] Memory required for data: 873952224
I0125 14:20:31.967694 12060 layer_factory.cpp:58] Creating layer relu4_2
I0125 14:20:31.967694 12060 net.cpp:100] Creating Layer relu4_2
I0125 14:20:31.968191 12060 net.cpp:434] relu4_2 <- conv4_2
I0125 14:20:31.968191 12060 net.cpp:395] relu4_2 -> conv4_2 (in-place)
I0125 14:20:31.968703 12060 net.cpp:150] Setting up relu4_2
I0125 14:20:31.968703 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.968703 12060 net.cpp:165] Memory required for data: 886928352
I0125 14:20:31.969194 12060 layer_factory.cpp:58] Creating layer conv4_3
I0125 14:20:31.969194 12060 net.cpp:100] Creating Layer conv4_3
I0125 14:20:31.969696 12060 net.cpp:434] conv4_3 <- conv4_2
I0125 14:20:31.969696 12060 net.cpp:408] conv4_3 -> conv4_3
I0125 14:20:31.975210 12060 net.cpp:150] Setting up conv4_3
I0125 14:20:31.975714 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.976215 12060 net.cpp:165] Memory required for data: 899904480
I0125 14:20:31.976714 12060 layer_factory.cpp:58] Creating layer relu4_3
I0125 14:20:31.976714 12060 net.cpp:100] Creating Layer relu4_3
I0125 14:20:31.977216 12060 net.cpp:434] relu4_3 <- conv4_3
I0125 14:20:31.977216 12060 net.cpp:395] relu4_3 -> conv4_3 (in-place)
I0125 14:20:31.977717 12060 net.cpp:150] Setting up relu4_3
I0125 14:20:31.977717 12060 net.cpp:157] Top shape: 1 512 72 88 (3244032)
I0125 14:20:31.978219 12060 net.cpp:165] Memory required for data: 912880608
I0125 14:20:31.978219 12060 layer_factory.cpp:58] Creating layer pool4
I0125 14:20:31.978720 12060 net.cpp:100] Creating Layer pool4
I0125 14:20:31.978720 12060 net.cpp:434] pool4 <- conv4_3
I0125 14:20:31.979221 12060 net.cpp:408] pool4 -> pool4
I0125 14:20:31.979727 12060 net.cpp:150] Setting up pool4
I0125 14:20:31.979727 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.980235 12060 net.cpp:165] Memory required for data: 916124640
I0125 14:20:31.980235 12060 layer_factory.cpp:58] Creating layer pool4_pool4_0_split
I0125 14:20:31.980235 12060 net.cpp:100] Creating Layer pool4_pool4_0_split
I0125 14:20:31.980728 12060 net.cpp:434] pool4_pool4_0_split <- pool4
I0125 14:20:31.980728 12060 net.cpp:408] pool4_pool4_0_split -> pool4_pool4_0_split_0
I0125 14:20:31.981226 12060 net.cpp:408] pool4_pool4_0_split -> pool4_pool4_0_split_1
I0125 14:20:31.981226 12060 net.cpp:150] Setting up pool4_pool4_0_split
I0125 14:20:31.981727 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.981727 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.981727 12060 net.cpp:165] Memory required for data: 922612704
I0125 14:20:31.982230 12060 layer_factory.cpp:58] Creating layer conv5_1
I0125 14:20:31.982230 12060 net.cpp:100] Creating Layer conv5_1
I0125 14:20:31.982230 12060 net.cpp:434] conv5_1 <- pool4_pool4_0_split_0
I0125 14:20:31.982730 12060 net.cpp:408] conv5_1 -> conv5_1
I0125 14:20:31.988250 12060 net.cpp:150] Setting up conv5_1
I0125 14:20:31.988250 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.988747 12060 net.cpp:165] Memory required for data: 925856736
I0125 14:20:31.989248 12060 layer_factory.cpp:58] Creating layer relu5_1
I0125 14:20:31.989248 12060 net.cpp:100] Creating Layer relu5_1
I0125 14:20:31.989248 12060 net.cpp:434] relu5_1 <- conv5_1
I0125 14:20:31.989749 12060 net.cpp:395] relu5_1 -> conv5_1 (in-place)
I0125 14:20:31.989749 12060 net.cpp:150] Setting up relu5_1
I0125 14:20:31.989749 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.990250 12060 net.cpp:165] Memory required for data: 929100768
I0125 14:20:31.990751 12060 layer_factory.cpp:58] Creating layer conv5_2
I0125 14:20:31.990751 12060 net.cpp:100] Creating Layer conv5_2
I0125 14:20:31.990751 12060 net.cpp:434] conv5_2 <- conv5_1
I0125 14:20:31.991253 12060 net.cpp:408] conv5_2 -> conv5_2
I0125 14:20:31.998272 12060 net.cpp:150] Setting up conv5_2
I0125 14:20:31.998272 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:31.998775 12060 net.cpp:165] Memory required for data: 932344800
I0125 14:20:31.999275 12060 layer_factory.cpp:58] Creating layer relu5_2
I0125 14:20:31.999909 12060 net.cpp:100] Creating Layer relu5_2
I0125 14:20:31.999909 12060 net.cpp:434] relu5_2 <- conv5_2
I0125 14:20:32.000277 12060 net.cpp:395] relu5_2 -> conv5_2 (in-place)
I0125 14:20:32.000779 12060 net.cpp:150] Setting up relu5_2
I0125 14:20:32.000779 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:32.001279 12060 net.cpp:165] Memory required for data: 935588832
I0125 14:20:32.001780 12060 layer_factory.cpp:58] Creating layer conv5_3
I0125 14:20:32.001780 12060 net.cpp:100] Creating Layer conv5_3
I0125 14:20:32.002282 12060 net.cpp:434] conv5_3 <- conv5_2
I0125 14:20:32.002282 12060 net.cpp:408] conv5_3 -> conv5_3
I0125 14:20:32.007798 12060 net.cpp:150] Setting up conv5_3
I0125 14:20:32.008298 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:32.008298 12060 net.cpp:165] Memory required for data: 938832864
I0125 14:20:32.008800 12060 layer_factory.cpp:58] Creating layer relu5_3
I0125 14:20:32.008800 12060 net.cpp:100] Creating Layer relu5_3
I0125 14:20:32.009307 12060 net.cpp:434] relu5_3 <- conv5_3
I0125 14:20:32.009307 12060 net.cpp:395] relu5_3 -> conv5_3 (in-place)
I0125 14:20:32.009802 12060 net.cpp:150] Setting up relu5_3
I0125 14:20:32.009802 12060 net.cpp:157] Top shape: 1 512 36 44 (811008)
I0125 14:20:32.010304 12060 net.cpp:165] Memory required for data: 942076896
I0125 14:20:32.010304 12060 layer_factory.cpp:58] Creating layer pool5
I0125 14:20:32.010804 12060 net.cpp:100] Creating Layer pool5
I0125 14:20:32.011807 12060 net.cpp:434] pool5 <- conv5_3
I0125 14:20:32.016822 12060 net.cpp:408] pool5 -> pool5
I0125 14:20:32.019327 12060 net.cpp:150] Setting up pool5
I0125 14:20:32.019865 12060 net.cpp:157] Top shape: 1 512 18 22 (202752)
I0125 14:20:32.020341 12060 net.cpp:165] Memory required for data: 942887904
I0125 14:20:32.020341 12060 layer_factory.cpp:58] Creating layer fc6
I0125 14:20:32.020833 12060 net.cpp:100] Creating Layer fc6
I0125 14:20:32.020833 12060 net.cpp:434] fc6 <- pool5
I0125 14:20:32.021345 12060 net.cpp:408] fc6 -> fc6
I0125 14:20:32.202316 12060 net.cpp:150] Setting up fc6
I0125 14:20:32.202852 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.203125 12060 net.cpp:165] Memory required for data: 946033632
I0125 14:20:32.203634 12060 layer_factory.cpp:58] Creating layer relu6
I0125 14:20:32.204352 12060 net.cpp:100] Creating Layer relu6
I0125 14:20:32.204741 12060 net.cpp:434] relu6 <- fc6
I0125 14:20:32.205639 12060 net.cpp:395] relu6 -> fc6 (in-place)
I0125 14:20:32.206332 12060 net.cpp:150] Setting up relu6
I0125 14:20:32.206332 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.206835 12060 net.cpp:165] Memory required for data: 949179360
I0125 14:20:32.206835 12060 layer_factory.cpp:58] Creating layer drop6
I0125 14:20:32.207336 12060 net.cpp:100] Creating Layer drop6
I0125 14:20:32.207336 12060 net.cpp:434] drop6 <- fc6
I0125 14:20:32.207336 12060 net.cpp:395] drop6 -> fc6 (in-place)
I0125 14:20:32.207839 12060 net.cpp:150] Setting up drop6
I0125 14:20:32.208339 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.208339 12060 net.cpp:165] Memory required for data: 952325088
I0125 14:20:32.208843 12060 layer_factory.cpp:58] Creating layer fc7
I0125 14:20:32.208843 12060 net.cpp:100] Creating Layer fc7
I0125 14:20:32.209342 12060 net.cpp:434] fc7 <- fc6
I0125 14:20:32.209342 12060 net.cpp:408] fc7 -> fc7
I0125 14:20:32.234447 12060 net.cpp:150] Setting up fc7
I0125 14:20:32.234920 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.235424 12060 net.cpp:165] Memory required for data: 955470816
I0125 14:20:32.235913 12060 layer_factory.cpp:58] Creating layer relu7
I0125 14:20:32.236928 12060 net.cpp:100] Creating Layer relu7
I0125 14:20:32.237917 12060 net.cpp:434] relu7 <- fc7
I0125 14:20:32.237917 12060 net.cpp:395] relu7 -> fc7 (in-place)
I0125 14:20:32.238418 12060 net.cpp:150] Setting up relu7
I0125 14:20:32.238418 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.238920 12060 net.cpp:165] Memory required for data: 958616544
I0125 14:20:32.238920 12060 layer_factory.cpp:58] Creating layer drop7
I0125 14:20:32.238920 12060 net.cpp:100] Creating Layer drop7
I0125 14:20:32.239421 12060 net.cpp:434] drop7 <- fc7
I0125 14:20:32.239421 12060 net.cpp:395] drop7 -> fc7 (in-place)
I0125 14:20:32.239923 12060 net.cpp:150] Setting up drop7
I0125 14:20:32.240424 12060 net.cpp:157] Top shape: 1 4096 12 16 (786432)
I0125 14:20:32.240424 12060 net.cpp:165] Memory required for data: 961762272
I0125 14:20:32.240424 12060 layer_factory.cpp:58] Creating layer score_frtest
I0125 14:20:32.240926 12060 net.cpp:100] Creating Layer score_frtest
I0125 14:20:32.240926 12060 net.cpp:434] score_frtest <- fc7
I0125 14:20:32.241426 12060 net.cpp:408] score_frtest -> score_frtest
I0125 14:20:32.241928 12060 net.cpp:150] Setting up score_frtest
I0125 14:20:32.241928 12060 net.cpp:157] Top shape: 1 21 12 16 (4032)
I0125 14:20:32.241928 12060 net.cpp:165] Memory required for data: 961778400
I0125 14:20:32.242430 12060 layer_factory.cpp:58] Creating layer upscore2test
I0125 14:20:32.242430 12060 net.cpp:100] Creating Layer upscore2test
I0125 14:20:32.242430 12060 net.cpp:434] upscore2test <- score_frtest
I0125 14:20:32.242930 12060 net.cpp:408] upscore2test -> upscore2test
I0125 14:20:32.243432 12060 net.cpp:150] Setting up upscore2test
I0125 14:20:32.243432 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:32.243432 12060 net.cpp:165] Memory required for data: 961852656
I0125 14:20:32.243933 12060 layer_factory.cpp:58] Creating layer upscore2test_upscore2test_0_split
I0125 14:20:32.243933 12060 net.cpp:100] Creating Layer upscore2test_upscore2test_0_split
I0125 14:20:32.244436 12060 net.cpp:434] upscore2test_upscore2test_0_split <- upscore2test
I0125 14:20:32.244436 12060 net.cpp:408] upscore2test_upscore2test_0_split -> upscore2test_upscore2test_0_split_0
I0125 14:20:32.244436 12060 net.cpp:408] upscore2test_upscore2test_0_split -> upscore2test_upscore2test_0_split_1
I0125 14:20:32.244936 12060 net.cpp:150] Setting up upscore2test_upscore2test_0_split
I0125 14:20:32.244936 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:32.245446 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:32.245446 12060 net.cpp:165] Memory required for data: 962001168
I0125 14:20:32.245446 12060 layer_factory.cpp:58] Creating layer score_pool4test
I0125 14:20:32.245939 12060 net.cpp:100] Creating Layer score_pool4test
I0125 14:20:32.245939 12060 net.cpp:434] score_pool4test <- pool4_pool4_0_split_1
I0125 14:20:32.246440 12060 net.cpp:408] score_pool4test -> score_pool4test
I0125 14:20:32.246440 12060 net.cpp:150] Setting up score_pool4test
I0125 14:20:32.246440 12060 net.cpp:157] Top shape: 1 21 36 44 (33264)
I0125 14:20:32.246440 12060 net.cpp:165] Memory required for data: 962134224
I0125 14:20:32.246440 12060 layer_factory.cpp:58] Creating layer score_pool4c
I0125 14:20:32.246942 12060 net.cpp:100] Creating Layer score_pool4c
I0125 14:20:32.247443 12060 net.cpp:434] score_pool4c <- score_pool4test
I0125 14:20:32.247443 12060 net.cpp:434] score_pool4c <- upscore2test_upscore2test_0_split_0
I0125 14:20:32.247443 12060 net.cpp:408] score_pool4c -> score_pool4c
I0125 14:20:32.247944 12060 net.cpp:150] Setting up score_pool4c
I0125 14:20:32.247944 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:32.248451 12060 net.cpp:165] Memory required for data: 962208480
I0125 14:20:32.249449 12060 layer_factory.cpp:58] Creating layer fuse_pool4
I0125 14:20:32.249449 12060 net.cpp:100] Creating Layer fuse_pool4
I0125 14:20:32.249949 12060 net.cpp:434] fuse_pool4 <- upscore2test_upscore2test_0_split_1
I0125 14:20:32.249949 12060 net.cpp:434] fuse_pool4 <- score_pool4c
I0125 14:20:32.250452 12060 net.cpp:408] fuse_pool4 -> fuse_pool4
I0125 14:20:32.250452 12060 net.cpp:150] Setting up fuse_pool4
I0125 14:20:32.250952 12060 net.cpp:157] Top shape: 1 21 26 34 (18564)
I0125 14:20:32.250952 12060 net.cpp:165] Memory required for data: 962282736
I0125 14:20:32.250952 12060 layer_factory.cpp:58] Creating layer upscore_pool4test
I0125 14:20:32.251453 12060 net.cpp:100] Creating Layer upscore_pool4test
I0125 14:20:32.251453 12060 net.cpp:434] upscore_pool4test <- fuse_pool4
I0125 14:20:32.251955 12060 net.cpp:408] upscore_pool4test -> upscore_pool4test
I0125 14:20:32.251955 12060 net.cpp:150] Setting up upscore_pool4test
I0125 14:20:32.251955 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:32.252456 12060 net.cpp:165] Memory required for data: 962600256
I0125 14:20:32.252456 12060 layer_factory.cpp:58] Creating layer upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:32.252456 12060 net.cpp:100] Creating Layer upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:32.252957 12060 net.cpp:434] upscore_pool4test_upscore_pool4test_0_split <- upscore_pool4test
I0125 14:20:32.252957 12060 net.cpp:408] upscore_pool4test_upscore_pool4test_0_split -> upscore_pool4test_upscore_pool4test_0_split_0
I0125 14:20:32.253459 12060 net.cpp:408] upscore_pool4test_upscore_pool4test_0_split -> upscore_pool4test_upscore_pool4test_0_split_1
I0125 14:20:32.253459 12060 net.cpp:150] Setting up upscore_pool4test_upscore_pool4test_0_split
I0125 14:20:32.253960 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:32.253960 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:32.253960 12060 net.cpp:165] Memory required for data: 963235296
I0125 14:20:32.253960 12060 layer_factory.cpp:58] Creating layer score_pool3test
I0125 14:20:32.254462 12060 net.cpp:100] Creating Layer score_pool3test
I0125 14:20:32.254462 12060 net.cpp:434] score_pool3test <- pool3_pool3_0_split_1
I0125 14:20:32.254963 12060 net.cpp:408] score_pool3test -> score_pool3test
I0125 14:20:32.254963 12060 net.cpp:150] Setting up score_pool3test
I0125 14:20:32.254963 12060 net.cpp:157] Top shape: 1 21 72 88 (133056)
I0125 14:20:32.254963 12060 net.cpp:165] Memory required for data: 963767520
I0125 14:20:32.255463 12060 layer_factory.cpp:58] Creating layer score_pool3c
I0125 14:20:32.255463 12060 net.cpp:100] Creating Layer score_pool3c
I0125 14:20:32.255463 12060 net.cpp:434] score_pool3c <- score_pool3test
I0125 14:20:32.255965 12060 net.cpp:434] score_pool3c <- upscore_pool4test_upscore_pool4test_0_split_0
I0125 14:20:32.255965 12060 net.cpp:408] score_pool3c -> score_pool3c
I0125 14:20:32.256467 12060 net.cpp:150] Setting up score_pool3c
I0125 14:20:32.256467 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:32.256467 12060 net.cpp:165] Memory required for data: 964085040
I0125 14:20:32.256968 12060 layer_factory.cpp:58] Creating layer fuse_pool3
I0125 14:20:32.256968 12060 net.cpp:100] Creating Layer fuse_pool3
I0125 14:20:32.256968 12060 net.cpp:434] fuse_pool3 <- upscore_pool4test_upscore_pool4test_0_split_1
I0125 14:20:32.257470 12060 net.cpp:434] fuse_pool3 <- score_pool3c
I0125 14:20:32.257470 12060 net.cpp:408] fuse_pool3 -> fuse_pool3
I0125 14:20:32.257470 12060 net.cpp:150] Setting up fuse_pool3
I0125 14:20:32.257972 12060 net.cpp:157] Top shape: 1 21 54 70 (79380)
I0125 14:20:32.257972 12060 net.cpp:165] Memory required for data: 964402560
I0125 14:20:32.257972 12060 layer_factory.cpp:58] Creating layer upscore8test
I0125 14:20:32.258471 12060 net.cpp:100] Creating Layer upscore8test
I0125 14:20:32.258471 12060 net.cpp:434] upscore8test <- fuse_pool3
I0125 14:20:32.258471 12060 net.cpp:408] upscore8test -> upscore8test
I0125 14:20:32.258986 12060 net.cpp:150] Setting up upscore8test
I0125 14:20:32.258986 12060 net.cpp:157] Top shape: 1 21 440 568 (5248320)
I0125 14:20:32.259475 12060 net.cpp:165] Memory required for data: 985395840
I0125 14:20:32.259475 12060 layer_factory.cpp:58] Creating layer score
I0125 14:20:32.259475 12060 net.cpp:100] Creating Layer score
I0125 14:20:32.259976 12060 net.cpp:434] score <- upscore8test
I0125 14:20:32.259976 12060 net.cpp:434] score <- data_data_0_split_1
I0125 14:20:32.259976 12060 net.cpp:408] score -> score
I0125 14:20:32.260478 12060 net.cpp:150] Setting up score
I0125 14:20:32.260478 12060 net.cpp:157] Top shape: 1 21 375 500 (3937500)
I0125 14:20:32.260478 12060 net.cpp:165] Memory required for data: 1001145840
I0125 14:20:32.260978 12060 layer_factory.cpp:58] Creating layer loss
I0125 14:20:32.260978 12060 net.cpp:100] Creating Layer loss
I0125 14:20:32.261481 12060 net.cpp:434] loss <- score
I0125 14:20:32.261481 12060 net.cpp:434] loss <- label
I0125 14:20:32.261481 12060 net.cpp:408] loss -> loss
I0125 14:20:32.261481 12060 layer_factory.cpp:58] Creating layer loss
I0125 14:20:32.269002 12060 net.cpp:150] Setting up loss
I0125 14:20:32.269002 12060 net.cpp:157] Top shape: (1)
I0125 14:20:32.269502 12060 net.cpp:160]     with loss weight 1
I0125 14:20:32.269502 12060 net.cpp:165] Memory required for data: 1001145844
I0125 14:20:32.270007 12060 net.cpp:226] loss needs backward computation.
I0125 14:20:32.270007 12060 net.cpp:226] score needs backward computation.
I0125 14:20:32.270509 12060 net.cpp:226] upscore8test needs backward computation.
I0125 14:20:32.270509 12060 net.cpp:226] fuse_pool3 needs backward computation.
I0125 14:20:32.271018 12060 net.cpp:226] score_pool3c needs backward computation.
I0125 14:20:32.271507 12060 net.cpp:226] score_pool3test needs backward computation.
I0125 14:20:32.271507 12060 net.cpp:226] upscore_pool4test_upscore_pool4test_0_split needs backward computation.
I0125 14:20:32.272008 12060 net.cpp:226] upscore_pool4test needs backward computation.
I0125 14:20:32.272008 12060 net.cpp:226] fuse_pool4 needs backward computation.
I0125 14:20:32.272008 12060 net.cpp:226] score_pool4c needs backward computation.
I0125 14:20:32.272511 12060 net.cpp:226] score_pool4test needs backward computation.
I0125 14:20:32.272511 12060 net.cpp:226] upscore2test_upscore2test_0_split needs backward computation.
I0125 14:20:32.272511 12060 net.cpp:226] upscore2test needs backward computation.
I0125 14:20:32.273025 12060 net.cpp:226] score_frtest needs backward computation.
I0125 14:20:32.273025 12060 net.cpp:226] drop7 needs backward computation.
I0125 14:20:32.273512 12060 net.cpp:226] relu7 needs backward computation.
I0125 14:20:32.273512 12060 net.cpp:226] fc7 needs backward computation.
I0125 14:20:32.273512 12060 net.cpp:226] drop6 needs backward computation.
I0125 14:20:32.274016 12060 net.cpp:226] relu6 needs backward computation.
I0125 14:20:32.274016 12060 net.cpp:226] fc6 needs backward computation.
I0125 14:20:32.274016 12060 net.cpp:226] pool5 needs backward computation.
I0125 14:20:32.274515 12060 net.cpp:226] relu5_3 needs backward computation.
I0125 14:20:32.274515 12060 net.cpp:226] conv5_3 needs backward computation.
I0125 14:20:32.275017 12060 net.cpp:226] relu5_2 needs backward computation.
I0125 14:20:32.275017 12060 net.cpp:226] conv5_2 needs backward computation.
I0125 14:20:32.275017 12060 net.cpp:226] relu5_1 needs backward computation.
I0125 14:20:32.275518 12060 net.cpp:226] conv5_1 needs backward computation.
I0125 14:20:32.275518 12060 net.cpp:226] pool4_pool4_0_split needs backward computation.
I0125 14:20:32.275518 12060 net.cpp:226] pool4 needs backward computation.
I0125 14:20:32.276020 12060 net.cpp:226] relu4_3 needs backward computation.
I0125 14:20:32.276020 12060 net.cpp:226] conv4_3 needs backward computation.
I0125 14:20:32.276521 12060 net.cpp:226] relu4_2 needs backward computation.
I0125 14:20:32.276521 12060 net.cpp:226] conv4_2 needs backward computation.
I0125 14:20:32.276521 12060 net.cpp:226] relu4_1 needs backward computation.
I0125 14:20:32.276521 12060 net.cpp:226] conv4_1 needs backward computation.
I0125 14:20:32.277021 12060 net.cpp:226] pool3_pool3_0_split needs backward computation.
I0125 14:20:32.277021 12060 net.cpp:226] pool3 needs backward computation.
I0125 14:20:32.277021 12060 net.cpp:226] relu3_3 needs backward computation.
I0125 14:20:32.277523 12060 net.cpp:226] conv3_3 needs backward computation.
I0125 14:20:32.277523 12060 net.cpp:226] relu3_2 needs backward computation.
I0125 14:20:32.277523 12060 net.cpp:226] conv3_2 needs backward computation.
I0125 14:20:32.278024 12060 net.cpp:226] relu3_1 needs backward computation.
I0125 14:20:32.278024 12060 net.cpp:226] conv3_1 needs backward computation.
I0125 14:20:32.278024 12060 net.cpp:226] pool2 needs backward computation.
I0125 14:20:32.278525 12060 net.cpp:226] relu2_2 needs backward computation.
I0125 14:20:32.278525 12060 net.cpp:226] conv2_2 needs backward computation.
I0125 14:20:32.279027 12060 net.cpp:226] relu2_1 needs backward computation.
I0125 14:20:32.279027 12060 net.cpp:226] conv2_1 needs backward computation.
I0125 14:20:32.279027 12060 net.cpp:226] pool1 needs backward computation.
I0125 14:20:32.279528 12060 net.cpp:226] relu1_2 needs backward computation.
I0125 14:20:32.281033 12060 net.cpp:226] conv1_2 needs backward computation.
I0125 14:20:32.281033 12060 net.cpp:226] relu1_1 needs backward computation.
I0125 14:20:32.281033 12060 net.cpp:226] conv1_1 needs backward computation.
I0125 14:20:32.281534 12060 net.cpp:228] data_data_0_split does not need backward computation.
I0125 14:20:32.281534 12060 net.cpp:228] data does not need backward computation.
I0125 14:20:32.281534 12060 net.cpp:270] This network produces output loss
I0125 14:20:32.282035 12060 net.cpp:283] Network initialization done.
I0125 14:20:32.282035 12060 solver.cpp:60] Solver scaffolding done.
Solver set
[libprotobuf WARNING C:\Users\guillaume\work\build_v140_x64\packages\protobuf\protobuf_download-prefix\src\protobuf_download\src\google\protobuf\io\coded_stream.cc:605] Reading dangerously large protocol message.  If the message turns out to be larger than 2147483647 bytes, parsing will be halted for security reasons.  To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h.
[libprotobuf WARNING C:\Users\guillaume\work\build_v140_x64\packages\protobuf\protobuf_download-prefix\src\protobuf_download\src\google\protobuf\io\coded_stream.cc:82] The total number of bytes read was 553128336
I0125 14:20:33.114481 12060 net.cpp:761] Ignoring source layer score_fr
I0125 14:20:33.114984 12060 net.cpp:761] Ignoring source layer upscore2
I0125 14:20:33.115985 12060 net.cpp:761] Ignoring source layer upscore2_upscore2_0_split
I0125 14:20:33.116487 12060 net.cpp:761] Ignoring source layer score_pool4
I0125 14:20:33.116988 12060 net.cpp:761] Ignoring source layer upscore16
I0125 14:20:33.657279 12060 solver.cpp:228] Iteration 0, loss = 569757
I0125 14:20:33.657279 12060 solver.cpp:244]     Train net output #0: loss = 569757 (* 1 = 569757 loss)
I0125 14:20:33.658788 12060 sgd_solver.cpp:106] Iteration 0, lr = 1e-10
I0125 14:20:41.960067 12060 solver.cpp:228] Iteration 20, loss = 1.61534e+06
I0125 14:20:41.960067 12060 solver.cpp:244]     Train net output #0: loss = 1.6679e+06 (* 1 = 1.6679e+06 loss)
I0125 14:20:41.961041 12060 sgd_solver.cpp:106] Iteration 20, lr = 1e-10
I0125 14:20:50.214399 12060 solver.cpp:228] Iteration 40, loss = 2.60565e+06
I0125 14:20:50.214900 12060 solver.cpp:244]     Train net output #0: loss = 759418 (* 1 = 759418 loss)
I0125 14:20:50.215903 12060 sgd_solver.cpp:106] Iteration 40, lr = 1e-10
I0125 14:20:57.798151 12060 solver.cpp:228] Iteration 60, loss = 1.22813e+06
I0125 14:20:57.798151 12060 solver.cpp:244]     Train net output #0: loss = 425897 (* 1 = 425897 loss)
I0125 14:20:57.798682 12060 sgd_solver.cpp:106] Iteration 60, lr = 1e-10
I0125 14:21:05.405422 12060 solver.cpp:228] Iteration 80, loss = 480972
I0125 14:21:05.405890 12060 solver.cpp:244]     Train net output #0: loss = 604538 (* 1 = 604538 loss)
I0125 14:21:05.406391 12060 sgd_solver.cpp:106] Iteration 80, lr = 1e-10
I0125 14:21:12.815894 12060 solver.cpp:228] Iteration 100, loss = 389368
I0125 14:21:12.815894 12060 solver.cpp:244]     Train net output #0: loss = 59256.6 (* 1 = 59256.6 loss)
I0125 14:21:12.816365 12060 sgd_solver.cpp:106] Iteration 100, lr = 1e-10
I0125 14:21:20.003808 12060 solver.cpp:228] Iteration 120, loss = 277830
I0125 14:21:20.003808 12060 solver.cpp:244]     Train net output #0: loss = 522212 (* 1 = 522212 loss)
I0125 14:21:20.004814 12060 sgd_solver.cpp:106] Iteration 120, lr = 1e-10
I0125 14:21:27.834399 12060 solver.cpp:228] Iteration 140, loss = 311317
I0125 14:21:27.834399 12060 solver.cpp:244]     Train net output #0: loss = 516067 (* 1 = 516067 loss)
I0125 14:21:27.835372 12060 sgd_solver.cpp:106] Iteration 140, lr = 1e-10
I0125 14:21:35.378269 12060 solver.cpp:228] Iteration 160, loss = 2.29701e+06
I0125 14:21:35.378269 12060 solver.cpp:244]     Train net output #0: loss = 8.10771e+06 (* 1 = 8.10771e+06 loss)
I0125 14:21:35.379292 12060 sgd_solver.cpp:106] Iteration 160, lr = 1e-10
I0125 14:21:42.941155 12060 solver.cpp:228] Iteration 180, loss = 1.01302e+06
I0125 14:21:42.941155 12060 solver.cpp:244]     Train net output #0: loss = 952015 (* 1 = 952015 loss)
I0125 14:21:42.942157 12060 sgd_solver.cpp:106] Iteration 180, lr = 1e-10
I0125 14:21:50.657610 12060 solver.cpp:228] Iteration 200, loss = 419933
I0125 14:21:50.658051 12060 solver.cpp:244]     Train net output #0: loss = 239800 (* 1 = 239800 loss)
I0125 14:21:50.658282 12060 sgd_solver.cpp:106] Iteration 200, lr = 1e-10
I0125 14:21:58.384461 12060 solver.cpp:228] Iteration 220, loss = 491792
I0125 14:21:58.384932 12060 solver.cpp:244]     Train net output #0: loss = 524246 (* 1 = 524246 loss)
I0125 14:21:58.385432 12060 sgd_solver.cpp:106] Iteration 220, lr = 1e-10
I0125 14:22:05.747962 12060 solver.cpp:228] Iteration 240, loss = 338026
I0125 14:22:05.747962 12060 solver.cpp:244]     Train net output #0: loss = 68730.8 (* 1 = 68730.8 loss)
I0125 14:22:05.748965 12060 sgd_solver.cpp:106] Iteration 240, lr = 1e-10
I0125 14:22:13.078788 12060 solver.cpp:228] Iteration 260, loss = 337921
I0125 14:22:13.078788 12060 solver.cpp:244]     Train net output #0: loss = 63947.7 (* 1 = 63947.7 loss)
I0125 14:22:13.079268 12060 sgd_solver.cpp:106] Iteration 260, lr = 1e-10
I0125 14:22:20.806751 12060 solver.cpp:228] Iteration 280, loss = 247474
I0125 14:22:20.806751 12060 solver.cpp:244]     Train net output #0: loss = 127147 (* 1 = 127147 loss)
I0125 14:22:20.807729 12060 sgd_solver.cpp:106] Iteration 280, lr = 1e-10
I0125 14:22:28.357250 12060 solver.cpp:228] Iteration 300, loss = 323460
I0125 14:22:28.357250 12060 solver.cpp:244]     Train net output #0: loss = 87453.3 (* 1 = 87453.3 loss)
I0125 14:22:28.358253 12060 sgd_solver.cpp:106] Iteration 300, lr = 1e-10
I0125 14:22:35.708989 12060 solver.cpp:228] Iteration 320, loss = 224735
I0125 14:22:35.708989 12060 solver.cpp:244]     Train net output #0: loss = 248656 (* 1 = 248656 loss)
I0125 14:22:35.709993 12060 sgd_solver.cpp:106] Iteration 320, lr = 1e-10
I0125 14:22:43.251322 12060 solver.cpp:228] Iteration 340, loss = 331050
I0125 14:22:43.251796 12060 solver.cpp:244]     Train net output #0: loss = 393993 (* 1 = 393993 loss)
I0125 14:22:43.252802 12060 sgd_solver.cpp:106] Iteration 340, lr = 1e-10
I0125 14:22:50.609666 12060 solver.cpp:228] Iteration 360, loss = 211849
I0125 14:22:50.609897 12060 solver.cpp:244]     Train net output #0: loss = 157259 (* 1 = 157259 loss)
I0125 14:22:50.610617 12060 sgd_solver.cpp:106] Iteration 360, lr = 1e-10
I0125 14:22:57.874409 12060 solver.cpp:228] Iteration 380, loss = 289918
I0125 14:22:57.874649 12060 solver.cpp:244]     Train net output #0: loss = 706549 (* 1 = 706549 loss)
I0125 14:22:57.875429 12060 sgd_solver.cpp:106] Iteration 380, lr = 1e-10
I0125 14:23:05.316555 12060 solver.cpp:228] Iteration 400, loss = 230567
I0125 14:23:05.316555 12060 solver.cpp:244]     Train net output #0: loss = 33562.8 (* 1 = 33562.8 loss)
I0125 14:23:05.317550 12060 sgd_solver.cpp:106] Iteration 400, lr = 1e-10
forrtl: error (200): program aborting due to control-C event
Image              PC                Routine            Line        Source
libifcoremd.dll    00007FFE6BB643E4  Unknown               Unknown  Unknown
KERNELBASE.dll     00007FFE9CA57E23  Unknown               Unknown  Unknown
KERNEL32.DLL       00007FFE9D398364  Unknown               Unknown  Unknown
ntdll.dll          00007FFE9F8470D1  Unknown               Unknown  Unknown

C:\Users\CGVU IF Edinburgh\Downloads\New folder\caffe\python>