chibi@2204:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0001.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I1009 05:49:23.946756  3737 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W1009 05:49:24.022599  3737 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W1009 05:49:24.022776  3737 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W1009 05:49:24.022784  3737 _caffe.cpp:175] Net('/home/chibi/caffe/python/../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='/home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I1009 05:49:24.023026  3737 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"
}
I1009 05:49:24.023193  3737 net.cpp:116] Using FLOAT as default forward math type
I1009 05:49:24.023198  3737 net.cpp:122] Using FLOAT as default backward math type
I1009 05:49:24.023201  3737 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I1009 05:49:24.023207  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023218  3737 net.cpp:205] Created Layer data (0)
I1009 05:49:24.023221  3737 net.cpp:547] data -> data
I1009 05:49:24.023236  3737 net.cpp:265] Setting up data
I1009 05:49:24.023250  3737 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I1009 05:49:24.023260  3737 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I1009 05:49:24.023263  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023298  3737 net.cpp:205] Created Layer conv1 (1)
I1009 05:49:24.023303  3737 net.cpp:577] conv1 <- data
I1009 05:49:24.023308  3737 net.cpp:547] conv1 -> conv1
I1009 05:49:24.023591  3737 net.cpp:265] Setting up conv1
I1009 05:49:24.023597  3737 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I1009 05:49:24.023608  3737 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I1009 05:49:24.023612  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023615  3737 net.cpp:205] Created Layer relu1 (2)
I1009 05:49:24.023617  3737 net.cpp:577] relu1 <- conv1
I1009 05:49:24.023620  3737 net.cpp:532] relu1 -> conv1 (in-place)
I1009 05:49:24.023624  3737 net.cpp:265] Setting up relu1
I1009 05:49:24.023626  3737 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I1009 05:49:24.023630  3737 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I1009 05:49:24.023633  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023638  3737 net.cpp:205] Created Layer pool1 (3)
I1009 05:49:24.023639  3737 net.cpp:577] pool1 <- conv1
I1009 05:49:24.023643  3737 net.cpp:547] pool1 -> pool1
I1009 05:49:24.023653  3737 net.cpp:265] Setting up pool1
I1009 05:49:24.023654  3737 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I1009 05:49:24.023658  3737 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I1009 05:49:24.023660  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023667  3737 net.cpp:205] Created Layer norm1 (4)
I1009 05:49:24.023670  3737 net.cpp:577] norm1 <- pool1
I1009 05:49:24.023674  3737 net.cpp:547] norm1 -> norm1
I1009 05:49:24.023679  3737 net.cpp:265] Setting up norm1
I1009 05:49:24.023680  3737 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I1009 05:49:24.023684  3737 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I1009 05:49:24.023687  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.023698  3737 net.cpp:205] Created Layer conv2 (5)
I1009 05:49:24.023703  3737 net.cpp:577] conv2 <- norm1
I1009 05:49:24.023705  3737 net.cpp:547] conv2 -> conv2
I1009 05:49:24.025815  3737 net.cpp:265] Setting up conv2
I1009 05:49:24.025818  3737 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I1009 05:49:24.025823  3737 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I1009 05:49:24.025826  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.025830  3737 net.cpp:205] Created Layer relu2 (6)
I1009 05:49:24.025832  3737 net.cpp:577] relu2 <- conv2
I1009 05:49:24.025835  3737 net.cpp:532] relu2 -> conv2 (in-place)
I1009 05:49:24.025837  3737 net.cpp:265] Setting up relu2
I1009 05:49:24.025842  3737 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I1009 05:49:24.025846  3737 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I1009 05:49:24.025847  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.025851  3737 net.cpp:205] Created Layer pool2 (7)
I1009 05:49:24.025853  3737 net.cpp:577] pool2 <- conv2
I1009 05:49:24.025856  3737 net.cpp:547] pool2 -> pool2
I1009 05:49:24.025861  3737 net.cpp:265] Setting up pool2
I1009 05:49:24.025862  3737 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I1009 05:49:24.025875  3737 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I1009 05:49:24.025877  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.025882  3737 net.cpp:205] Created Layer norm2 (8)
I1009 05:49:24.025885  3737 net.cpp:577] norm2 <- pool2
I1009 05:49:24.025887  3737 net.cpp:547] norm2 -> norm2
I1009 05:49:24.025903  3737 net.cpp:265] Setting up norm2
I1009 05:49:24.025905  3737 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I1009 05:49:24.025911  3737 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I1009 05:49:24.025913  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.025919  3737 net.cpp:205] Created Layer conv3 (9)
I1009 05:49:24.025923  3737 net.cpp:577] conv3 <- norm2
I1009 05:49:24.025924  3737 net.cpp:547] conv3 -> conv3
I1009 05:49:24.031975  3737 net.cpp:265] Setting up conv3
I1009 05:49:24.031980  3737 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I1009 05:49:24.031986  3737 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I1009 05:49:24.031988  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.031992  3737 net.cpp:205] Created Layer relu3 (10)
I1009 05:49:24.031994  3737 net.cpp:577] relu3 <- conv3
I1009 05:49:24.031997  3737 net.cpp:532] relu3 -> conv3 (in-place)
I1009 05:49:24.032001  3737 net.cpp:265] Setting up relu3
I1009 05:49:24.032002  3737 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I1009 05:49:24.032006  3737 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I1009 05:49:24.032008  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.032014  3737 net.cpp:205] Created Layer conv4 (11)
I1009 05:49:24.032017  3737 net.cpp:577] conv4 <- conv3
I1009 05:49:24.032019  3737 net.cpp:547] conv4 -> conv4
I1009 05:49:24.036548  3737 net.cpp:265] Setting up conv4
I1009 05:49:24.036552  3737 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I1009 05:49:24.036556  3737 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I1009 05:49:24.036558  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.036563  3737 net.cpp:205] Created Layer relu4 (12)
I1009 05:49:24.036566  3737 net.cpp:577] relu4 <- conv4
I1009 05:49:24.036567  3737 net.cpp:532] relu4 -> conv4 (in-place)
I1009 05:49:24.036571  3737 net.cpp:265] Setting up relu4
I1009 05:49:24.036572  3737 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I1009 05:49:24.036576  3737 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I1009 05:49:24.036578  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.036583  3737 net.cpp:205] Created Layer conv5 (13)
I1009 05:49:24.036586  3737 net.cpp:577] conv5 <- conv4
I1009 05:49:24.036588  3737 net.cpp:547] conv5 -> conv5
I1009 05:49:24.039623  3737 net.cpp:265] Setting up conv5
I1009 05:49:24.039628  3737 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I1009 05:49:24.039633  3737 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I1009 05:49:24.039634  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.039637  3737 net.cpp:205] Created Layer relu5 (14)
I1009 05:49:24.039639  3737 net.cpp:577] relu5 <- conv5
I1009 05:49:24.039641  3737 net.cpp:532] relu5 -> conv5 (in-place)
I1009 05:49:24.039644  3737 net.cpp:265] Setting up relu5
I1009 05:49:24.039646  3737 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I1009 05:49:24.039650  3737 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I1009 05:49:24.039651  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.039654  3737 net.cpp:205] Created Layer pool5 (15)
I1009 05:49:24.039657  3737 net.cpp:577] pool5 <- conv5
I1009 05:49:24.039659  3737 net.cpp:547] pool5 -> pool5
I1009 05:49:24.039664  3737 net.cpp:265] Setting up pool5
I1009 05:49:24.039667  3737 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I1009 05:49:24.039669  3737 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I1009 05:49:24.039672  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.039690  3737 net.cpp:205] Created Layer fc6 (16)
I1009 05:49:24.039693  3737 net.cpp:577] fc6 <- pool5
I1009 05:49:24.039695  3737 net.cpp:547] fc6 -> fc6
I1009 05:49:24.302850  3737 net.cpp:265] Setting up fc6
I1009 05:49:24.302870  3737 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I1009 05:49:24.302882  3737 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I1009 05:49:24.302886  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.302896  3737 net.cpp:205] Created Layer relu6 (17)
I1009 05:49:24.302899  3737 net.cpp:577] relu6 <- fc6
I1009 05:49:24.302904  3737 net.cpp:532] relu6 -> fc6 (in-place)
I1009 05:49:24.302909  3737 net.cpp:265] Setting up relu6
I1009 05:49:24.302912  3737 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I1009 05:49:24.302915  3737 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I1009 05:49:24.302917  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.302922  3737 net.cpp:205] Created Layer drop6 (18)
I1009 05:49:24.302924  3737 net.cpp:577] drop6 <- fc6
I1009 05:49:24.302927  3737 net.cpp:532] drop6 -> fc6 (in-place)
I1009 05:49:24.302937  3737 net.cpp:265] Setting up drop6
I1009 05:49:24.302938  3737 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I1009 05:49:24.302942  3737 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I1009 05:49:24.302944  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.302949  3737 net.cpp:205] Created Layer fc7 (19)
I1009 05:49:24.302951  3737 net.cpp:577] fc7 <- fc6
I1009 05:49:24.302954  3737 net.cpp:547] fc7 -> fc7
I1009 05:49:24.418704  3737 net.cpp:265] Setting up fc7
I1009 05:49:24.418720  3737 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I1009 05:49:24.418730  3737 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I1009 05:49:24.418733  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.418740  3737 net.cpp:205] Created Layer relu7 (20)
I1009 05:49:24.418743  3737 net.cpp:577] relu7 <- fc7
I1009 05:49:24.418747  3737 net.cpp:532] relu7 -> fc7 (in-place)
I1009 05:49:24.418752  3737 net.cpp:265] Setting up relu7
I1009 05:49:24.418754  3737 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I1009 05:49:24.418756  3737 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I1009 05:49:24.418759  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.418763  3737 net.cpp:205] Created Layer drop7 (21)
I1009 05:49:24.418766  3737 net.cpp:577] drop7 <- fc7
I1009 05:49:24.418768  3737 net.cpp:532] drop7 -> fc7 (in-place)
I1009 05:49:24.418772  3737 net.cpp:265] Setting up drop7
I1009 05:49:24.418774  3737 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I1009 05:49:24.418776  3737 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I1009 05:49:24.418779  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.418784  3737 net.cpp:205] Created Layer fc8 (22)
I1009 05:49:24.418787  3737 net.cpp:577] fc8 <- fc7
I1009 05:49:24.418790  3737 net.cpp:547] fc8 -> fc8
I1009 05:49:24.446588  3737 net.cpp:265] Setting up fc8
I1009 05:49:24.446599  3737 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I1009 05:49:24.446605  3737 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I1009 05:49:24.446609  3737 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1009 05:49:24.446616  3737 net.cpp:205] Created Layer prob (23)
I1009 05:49:24.446619  3737 net.cpp:577] prob <- fc8
I1009 05:49:24.446622  3737 net.cpp:547] prob -> prob
I1009 05:49:24.446640  3737 net.cpp:265] Setting up prob
I1009 05:49:24.446642  3737 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I1009 05:49:24.446683  3737 net.cpp:343] prob does not need backward computation.
I1009 05:49:24.446687  3737 net.cpp:343] fc8 does not need backward computation.
I1009 05:49:24.446691  3737 net.cpp:343] drop7 does not need backward computation.
I1009 05:49:24.446693  3737 net.cpp:343] relu7 does not need backward computation.
I1009 05:49:24.446696  3737 net.cpp:343] fc7 does not need backward computation.
I1009 05:49:24.446699  3737 net.cpp:343] drop6 does not need backward computation.
I1009 05:49:24.446702  3737 net.cpp:343] relu6 does not need backward computation.
I1009 05:49:24.446705  3737 net.cpp:343] fc6 does not need backward computation.
I1009 05:49:24.446708  3737 net.cpp:343] pool5 does not need backward computation.
I1009 05:49:24.446712  3737 net.cpp:343] relu5 does not need backward computation.
I1009 05:49:24.446714  3737 net.cpp:343] conv5 does not need backward computation.
I1009 05:49:24.446717  3737 net.cpp:343] relu4 does not need backward computation.
I1009 05:49:24.446719  3737 net.cpp:343] conv4 does not need backward computation.
I1009 05:49:24.446722  3737 net.cpp:343] relu3 does not need backward computation.
I1009 05:49:24.446729  3737 net.cpp:343] conv3 does not need backward computation.
I1009 05:49:24.446732  3737 net.cpp:343] norm2 does not need backward computation.
I1009 05:49:24.446735  3737 net.cpp:343] pool2 does not need backward computation.
I1009 05:49:24.446738  3737 net.cpp:343] relu2 does not need backward computation.
I1009 05:49:24.446740  3737 net.cpp:343] conv2 does not need backward computation.
I1009 05:49:24.446743  3737 net.cpp:343] norm1 does not need backward computation.
I1009 05:49:24.446748  3737 net.cpp:343] pool1 does not need backward computation.
I1009 05:49:24.446750  3737 net.cpp:343] relu1 does not need backward computation.
I1009 05:49:24.446753  3737 net.cpp:343] conv1 does not need backward computation.
I1009 05:49:24.446755  3737 net.cpp:343] data does not need backward computation.
I1009 05:49:24.446758  3737 net.cpp:385] This network produces output prob
I1009 05:49:24.446789  3737 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I1009 05:49:24.446795  3737 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I1009 05:49:24.446797  3737 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I1009 05:49:24.446800  3737 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I1009 05:49:24.446802  3737 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I1009 05:49:24.446805  3737 net.cpp:426] Network initialization done.
I1009 05:49:24.642009  3737 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: /home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I1009 05:49:24.642038  3737 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W1009 05:49:24.642041  3737 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I1009 05:49:24.642067  3737 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I1009 05:49:24.828361  3737 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I1009 05:49:24.833829  3737 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I1009 05:49:24.833839  3737 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I1009 05:49:24.834076  3737 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I1009 05:49:24.834084  3737 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I1009 05:49:24.834086  3737 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I1009 05:49:24.834089  3737 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I1009 05:49:24.836151  3737 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I1009 05:49:24.836156  3737 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I1009 05:49:24.836159  3737 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I1009 05:49:24.836162  3737 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I1009 05:49:24.841979  3737 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I1009 05:49:24.841985  3737 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I1009 05:49:24.846369  3737 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I1009 05:49:24.846374  3737 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I1009 05:49:24.849294  3737 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I1009 05:49:24.849299  3737 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I1009 05:49:24.849301  3737 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I1009 05:49:25.098188  3737 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I1009 05:49:25.098196  3737 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I1009 05:49:25.098199  3737 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I1009 05:49:25.208902  3737 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I1009 05:49:25.208909  3737 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I1009 05:49:25.208912  3737 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I1009 05:49:25.235922  3737 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0001.jpg
Classifying 1 inputs.
Done in 0.24 s.
Saving results into ../result.npy
chibi@2204:~/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 |  1.1%
#3 | n02497673 Madagascar cat, ring-tailed lemur, Lemur catta |  0.1%
chibi@2204:~/caffe$