chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0014.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0207 17:35:53.237612  3147 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0207 17:35:53.358139  3147 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0207 17:35:53.358289  3147 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0207 17:35:53.358299  3147 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0207 17:35:53.360018  3147 net.cpp:86] Initializing net from parameters:
name: "CaffeNet"
state {
  phase: TEST
  level: 0
}
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 10
      dim: 3
      dim: 227
      dim: 227
    }
  }
}
layer {
  name: "conv1"
  type: "Convolution"
  bottom: "data"
  top: "conv1"
  convolution_param {
    num_output: 96
    kernel_size: 11
    stride: 4
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm1"
  type: "LRN"
  bottom: "pool1"
  top: "norm1"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv2"
  type: "Convolution"
  bottom: "norm1"
  top: "conv2"
  convolution_param {
    num_output: 256
    pad: 2
    kernel_size: 5
    group: 2
  }
}
layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "norm2"
  type: "LRN"
  bottom: "pool2"
  top: "norm2"
  lrn_param {
    local_size: 5
    alpha: 0.0001
    beta: 0.75
  }
}
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "norm2"
  top: "conv3"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
}
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv3"
  top: "conv4"
  convolution_param {
    num_output: 384
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu4"
  type: "ReLU"
  bottom: "conv4"
  top: "conv4"
}
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "conv4"
  top: "conv5"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    group: 2
  }
}
layer {
  name: "relu5"
  type: "ReLU"
  bottom: "conv5"
  top: "conv5"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv5"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layer {
  name: "fc6"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc6"
  inner_product_param {
    num_output: 4096
  }
}
layer {
  name: "relu6"
  type: "ReLU"
  bottom: "fc6"
  top: "fc6"
}
layer {
  name: "drop6"
  type: "Dropout"
  bottom: "fc6"
  top: "fc6"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc7"
  type: "InnerProduct"
  bottom: "fc6"
  top: "fc7"
  inner_product_param {
    num_output: 4096
  }
}
layer {
  name: "relu7"
  type: "ReLU"
  bottom: "fc7"
  top: "fc7"
}
layer {
  name: "drop7"
  type: "Dropout"
  bottom: "fc7"
  top: "fc7"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layer {
  name: "fc8"
  type: "InnerProduct"
  bottom: "fc7"
  top: "fc8"
  inner_product_param {
    num_output: 1000
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc8"
  top: "prob"
}
I0207 17:35:53.360150  3147 net.cpp:116] Using FLOAT as default forward math type
I0207 17:35:53.360159  3147 net.cpp:122] Using FLOAT as default backward math type
I0207 17:35:53.360165  3147 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0207 17:35:53.360172  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360182  3147 net.cpp:205] Created Layer data (0)
I0207 17:35:53.360186  3147 net.cpp:547] data -> data
I0207 17:35:53.360206  3147 net.cpp:265] Setting up data
I0207 17:35:53.360216  3147 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0207 17:35:53.360224  3147 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0207 17:35:53.360230  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360256  3147 net.cpp:205] Created Layer conv1 (1)
I0207 17:35:53.360265  3147 net.cpp:577] conv1 <- data
I0207 17:35:53.360272  3147 net.cpp:547] conv1 -> conv1
I0207 17:35:53.360569  3147 net.cpp:265] Setting up conv1
I0207 17:35:53.360579  3147 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0207 17:35:53.360592  3147 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0207 17:35:53.360599  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360607  3147 net.cpp:205] Created Layer relu1 (2)
I0207 17:35:53.360612  3147 net.cpp:577] relu1 <- conv1
I0207 17:35:53.360620  3147 net.cpp:532] relu1 -> conv1 (in-place)
I0207 17:35:53.360628  3147 net.cpp:265] Setting up relu1
I0207 17:35:53.360635  3147 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0207 17:35:53.360641  3147 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0207 17:35:53.360647  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360656  3147 net.cpp:205] Created Layer pool1 (3)
I0207 17:35:53.360661  3147 net.cpp:577] pool1 <- conv1
I0207 17:35:53.360667  3147 net.cpp:547] pool1 -> pool1
I0207 17:35:53.360677  3147 net.cpp:265] Setting up pool1
I0207 17:35:53.360684  3147 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0207 17:35:53.360690  3147 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0207 17:35:53.360695  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360705  3147 net.cpp:205] Created Layer norm1 (4)
I0207 17:35:53.360710  3147 net.cpp:577] norm1 <- pool1
I0207 17:35:53.360718  3147 net.cpp:547] norm1 -> norm1
I0207 17:35:53.360728  3147 net.cpp:265] Setting up norm1
I0207 17:35:53.360735  3147 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0207 17:35:53.360741  3147 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0207 17:35:53.360747  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.360757  3147 net.cpp:205] Created Layer conv2 (5)
I0207 17:35:53.360762  3147 net.cpp:577] conv2 <- norm1
I0207 17:35:53.360769  3147 net.cpp:547] conv2 -> conv2
I0207 17:35:53.363122  3147 net.cpp:265] Setting up conv2
I0207 17:35:53.363134  3147 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0207 17:35:53.363145  3147 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0207 17:35:53.363152  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.363158  3147 net.cpp:205] Created Layer relu2 (6)
I0207 17:35:53.363163  3147 net.cpp:577] relu2 <- conv2
I0207 17:35:53.363170  3147 net.cpp:532] relu2 -> conv2 (in-place)
I0207 17:35:53.363176  3147 net.cpp:265] Setting up relu2
I0207 17:35:53.363183  3147 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0207 17:35:53.363189  3147 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0207 17:35:53.363194  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.363204  3147 net.cpp:205] Created Layer pool2 (7)
I0207 17:35:53.363207  3147 net.cpp:577] pool2 <- conv2
I0207 17:35:53.363214  3147 net.cpp:547] pool2 -> pool2
I0207 17:35:53.363222  3147 net.cpp:265] Setting up pool2
I0207 17:35:53.363229  3147 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0207 17:35:53.363235  3147 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0207 17:35:53.363240  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.363252  3147 net.cpp:205] Created Layer norm2 (8)
I0207 17:35:53.363258  3147 net.cpp:577] norm2 <- pool2
I0207 17:35:53.363265  3147 net.cpp:547] norm2 -> norm2
I0207 17:35:53.363273  3147 net.cpp:265] Setting up norm2
I0207 17:35:53.363291  3147 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0207 17:35:53.363297  3147 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0207 17:35:53.363303  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.363314  3147 net.cpp:205] Created Layer conv3 (9)
I0207 17:35:53.363319  3147 net.cpp:577] conv3 <- norm2
I0207 17:35:53.363327  3147 net.cpp:547] conv3 -> conv3
I0207 17:35:53.370167  3147 net.cpp:265] Setting up conv3
I0207 17:35:53.370179  3147 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0207 17:35:53.370191  3147 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0207 17:35:53.370198  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.370205  3147 net.cpp:205] Created Layer relu3 (10)
I0207 17:35:53.370210  3147 net.cpp:577] relu3 <- conv3
I0207 17:35:53.370216  3147 net.cpp:532] relu3 -> conv3 (in-place)
I0207 17:35:53.370223  3147 net.cpp:265] Setting up relu3
I0207 17:35:53.370229  3147 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0207 17:35:53.370235  3147 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0207 17:35:53.370241  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.370251  3147 net.cpp:205] Created Layer conv4 (11)
I0207 17:35:53.370256  3147 net.cpp:577] conv4 <- conv3
I0207 17:35:53.370262  3147 net.cpp:547] conv4 -> conv4
I0207 17:35:53.375314  3147 net.cpp:265] Setting up conv4
I0207 17:35:53.375325  3147 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0207 17:35:53.375336  3147 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0207 17:35:53.375341  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.375349  3147 net.cpp:205] Created Layer relu4 (12)
I0207 17:35:53.375355  3147 net.cpp:577] relu4 <- conv4
I0207 17:35:53.375361  3147 net.cpp:532] relu4 -> conv4 (in-place)
I0207 17:35:53.375367  3147 net.cpp:265] Setting up relu4
I0207 17:35:53.375376  3147 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0207 17:35:53.375382  3147 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0207 17:35:53.375391  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.375404  3147 net.cpp:205] Created Layer conv5 (13)
I0207 17:35:53.375409  3147 net.cpp:577] conv5 <- conv4
I0207 17:35:53.375416  3147 net.cpp:547] conv5 -> conv5
I0207 17:35:53.378767  3147 net.cpp:265] Setting up conv5
I0207 17:35:53.378777  3147 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0207 17:35:53.378788  3147 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0207 17:35:53.378794  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.378804  3147 net.cpp:205] Created Layer relu5 (14)
I0207 17:35:53.378809  3147 net.cpp:577] relu5 <- conv5
I0207 17:35:53.378815  3147 net.cpp:532] relu5 -> conv5 (in-place)
I0207 17:35:53.378823  3147 net.cpp:265] Setting up relu5
I0207 17:35:53.378829  3147 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0207 17:35:53.378834  3147 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0207 17:35:53.378840  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.378849  3147 net.cpp:205] Created Layer pool5 (15)
I0207 17:35:53.378854  3147 net.cpp:577] pool5 <- conv5
I0207 17:35:53.378861  3147 net.cpp:547] pool5 -> pool5
I0207 17:35:53.378871  3147 net.cpp:265] Setting up pool5
I0207 17:35:53.378878  3147 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0207 17:35:53.378883  3147 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0207 17:35:53.378891  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.378909  3147 net.cpp:205] Created Layer fc6 (16)
I0207 17:35:53.378916  3147 net.cpp:577] fc6 <- pool5
I0207 17:35:53.378921  3147 net.cpp:547] fc6 -> fc6
I0207 17:35:53.650384  3147 net.cpp:265] Setting up fc6
I0207 17:35:53.650410  3147 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0207 17:35:53.650419  3147 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0207 17:35:53.650424  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.650434  3147 net.cpp:205] Created Layer relu6 (17)
I0207 17:35:53.650440  3147 net.cpp:577] relu6 <- fc6
I0207 17:35:53.650458  3147 net.cpp:532] relu6 -> fc6 (in-place)
I0207 17:35:53.650466  3147 net.cpp:265] Setting up relu6
I0207 17:35:53.650471  3147 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0207 17:35:53.650476  3147 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0207 17:35:53.650481  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.650490  3147 net.cpp:205] Created Layer drop6 (18)
I0207 17:35:53.650494  3147 net.cpp:577] drop6 <- fc6
I0207 17:35:53.650499  3147 net.cpp:532] drop6 -> fc6 (in-place)
I0207 17:35:53.650506  3147 net.cpp:265] Setting up drop6
I0207 17:35:53.650511  3147 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0207 17:35:53.650516  3147 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0207 17:35:53.650522  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.650530  3147 net.cpp:205] Created Layer fc7 (19)
I0207 17:35:53.650535  3147 net.cpp:577] fc7 <- fc6
I0207 17:35:53.650540  3147 net.cpp:547] fc7 -> fc7
I0207 17:35:53.769965  3147 net.cpp:265] Setting up fc7
I0207 17:35:53.769992  3147 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0207 17:35:53.770001  3147 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0207 17:35:53.770006  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.770015  3147 net.cpp:205] Created Layer relu7 (20)
I0207 17:35:53.770021  3147 net.cpp:577] relu7 <- fc7
I0207 17:35:53.770028  3147 net.cpp:532] relu7 -> fc7 (in-place)
I0207 17:35:53.770046  3147 net.cpp:265] Setting up relu7
I0207 17:35:53.770051  3147 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0207 17:35:53.770056  3147 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0207 17:35:53.770061  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.770071  3147 net.cpp:205] Created Layer drop7 (21)
I0207 17:35:53.770076  3147 net.cpp:577] drop7 <- fc7
I0207 17:35:53.770087  3147 net.cpp:532] drop7 -> fc7 (in-place)
I0207 17:35:53.770093  3147 net.cpp:265] Setting up drop7
I0207 17:35:53.770100  3147 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0207 17:35:53.770105  3147 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0207 17:35:53.770112  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.770119  3147 net.cpp:205] Created Layer fc8 (22)
I0207 17:35:53.770124  3147 net.cpp:577] fc8 <- fc7
I0207 17:35:53.770130  3147 net.cpp:547] fc8 -> fc8
I0207 17:35:53.799093  3147 net.cpp:265] Setting up fc8
I0207 17:35:53.799104  3147 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0207 17:35:53.799114  3147 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0207 17:35:53.799120  3147 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0207 17:35:53.799134  3147 net.cpp:205] Created Layer prob (23)
I0207 17:35:53.799139  3147 net.cpp:577] prob <- fc8
I0207 17:35:53.799145  3147 net.cpp:547] prob -> prob
I0207 17:35:53.799157  3147 net.cpp:265] Setting up prob
I0207 17:35:53.799165  3147 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0207 17:35:53.799190  3147 net.cpp:343] prob does not need backward computation.
I0207 17:35:53.799196  3147 net.cpp:343] fc8 does not need backward computation.
I0207 17:35:53.799212  3147 net.cpp:343] drop7 does not need backward computation.
I0207 17:35:53.799218  3147 net.cpp:343] relu7 does not need backward computation.
I0207 17:35:53.799223  3147 net.cpp:343] fc7 does not need backward computation.
I0207 17:35:53.799229  3147 net.cpp:343] drop6 does not need backward computation.
I0207 17:35:53.799235  3147 net.cpp:343] relu6 does not need backward computation.
I0207 17:35:53.799240  3147 net.cpp:343] fc6 does not need backward computation.
I0207 17:35:53.799247  3147 net.cpp:343] pool5 does not need backward computation.
I0207 17:35:53.799252  3147 net.cpp:343] relu5 does not need backward computation.
I0207 17:35:53.799258  3147 net.cpp:343] conv5 does not need backward computation.
I0207 17:35:53.799263  3147 net.cpp:343] relu4 does not need backward computation.
I0207 17:35:53.799269  3147 net.cpp:343] conv4 does not need backward computation.
I0207 17:35:53.799275  3147 net.cpp:343] relu3 does not need backward computation.
I0207 17:35:53.799280  3147 net.cpp:343] conv3 does not need backward computation.
I0207 17:35:53.799286  3147 net.cpp:343] norm2 does not need backward computation.
I0207 17:35:53.799293  3147 net.cpp:343] pool2 does not need backward computation.
I0207 17:35:53.799297  3147 net.cpp:343] relu2 does not need backward computation.
I0207 17:35:53.799304  3147 net.cpp:343] conv2 does not need backward computation.
I0207 17:35:53.799309  3147 net.cpp:343] norm1 does not need backward computation.
I0207 17:35:53.799314  3147 net.cpp:343] pool1 does not need backward computation.
I0207 17:35:53.799320  3147 net.cpp:343] relu1 does not need backward computation.
I0207 17:35:53.799325  3147 net.cpp:343] conv1 does not need backward computation.
I0207 17:35:53.799331  3147 net.cpp:343] data does not need backward computation.
I0207 17:35:53.799336  3147 net.cpp:385] This network produces output prob
I0207 17:35:53.799357  3147 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0207 17:35:53.799363  3147 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0207 17:35:53.799371  3147 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0207 17:35:53.799376  3147 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0207 17:35:53.799381  3147 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0207 17:35:53.799386  3147 net.cpp:426] Network initialization done.
I0207 17:35:53.947674  3147 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0207 17:35:53.947701  3147 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0207 17:35:53.947705  3147 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0207 17:35:53.947721  3147 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0207 17:35:54.191401  3147 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0207 17:35:54.197235  3147 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0207 17:35:54.197245  3147 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0207 17:35:54.197585  3147 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0207 17:35:54.197592  3147 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0207 17:35:54.197595  3147 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0207 17:35:54.197599  3147 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0207 17:35:54.200263  3147 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0207 17:35:54.200287  3147 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0207 17:35:54.200291  3147 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0207 17:35:54.200294  3147 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0207 17:35:54.207957  3147 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0207 17:35:54.207964  3147 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0207 17:35:54.213665  3147 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0207 17:35:54.213671  3147 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0207 17:35:54.217537  3147 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0207 17:35:54.217545  3147 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0207 17:35:54.217547  3147 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0207 17:35:54.540021  3147 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0207 17:35:54.540042  3147 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0207 17:35:54.540045  3147 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0207 17:35:54.682796  3147 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0207 17:35:54.682816  3147 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0207 17:35:54.682818  3147 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0207 17:35:54.717715  3147 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0014.jpg
Classifying 1 inputs.
Done in 0.59 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02510455 giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca | 98.3%
#2 | n02500267 indri, indris, Indri indri, Indri brevicaudatus |  0.5%
#3 | n02096437 Dandie Dinmont, Dandie Dinmont terrier |  0.2%
chibi@1604:~/caffe$