chibi@2204:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0002.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0914 13:45:36.161003  8223 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0914 13:45:36.319764  8223 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0914 13:45:36.319986  8223 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0914 13:45:36.319996  8223 _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')
I0914 13:45:36.320250  8223 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"
}
I0914 13:45:36.320493  8223 net.cpp:116] Using FLOAT as default forward math type
I0914 13:45:36.320500  8223 net.cpp:122] Using FLOAT as default backward math type
I0914 13:45:36.320504  8223 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0914 13:45:36.320510  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.320523  8223 net.cpp:205] Created Layer data (0)
I0914 13:45:36.320530  8223 net.cpp:547] data -> data
I0914 13:45:36.320546  8223 net.cpp:265] Setting up data
I0914 13:45:36.320551  8223 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0914 13:45:36.320564  8223 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0914 13:45:36.320569  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.320600  8223 net.cpp:205] Created Layer conv1 (1)
I0914 13:45:36.320606  8223 net.cpp:577] conv1 <- data
I0914 13:45:36.320613  8223 net.cpp:547] conv1 -> conv1
I0914 13:45:36.320916  8223 net.cpp:265] Setting up conv1
I0914 13:45:36.320923  8223 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0914 13:45:36.320940  8223 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0914 13:45:36.320946  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.320955  8223 net.cpp:205] Created Layer relu1 (2)
I0914 13:45:36.320958  8223 net.cpp:577] relu1 <- conv1
I0914 13:45:36.320963  8223 net.cpp:532] relu1 -> conv1 (in-place)
I0914 13:45:36.320968  8223 net.cpp:265] Setting up relu1
I0914 13:45:36.320972  8223 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0914 13:45:36.320976  8223 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0914 13:45:36.320981  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.320989  8223 net.cpp:205] Created Layer pool1 (3)
I0914 13:45:36.320993  8223 net.cpp:577] pool1 <- conv1
I0914 13:45:36.320997  8223 net.cpp:547] pool1 -> pool1
I0914 13:45:36.321007  8223 net.cpp:265] Setting up pool1
I0914 13:45:36.321012  8223 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0914 13:45:36.321017  8223 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0914 13:45:36.321020  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.321028  8223 net.cpp:205] Created Layer norm1 (4)
I0914 13:45:36.321033  8223 net.cpp:577] norm1 <- pool1
I0914 13:45:36.321036  8223 net.cpp:547] norm1 -> norm1
I0914 13:45:36.321048  8223 net.cpp:265] Setting up norm1
I0914 13:45:36.321051  8223 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0914 13:45:36.321056  8223 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0914 13:45:36.321060  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.321069  8223 net.cpp:205] Created Layer conv2 (5)
I0914 13:45:36.321072  8223 net.cpp:577] conv2 <- norm1
I0914 13:45:36.321077  8223 net.cpp:547] conv2 -> conv2
I0914 13:45:36.323465  8223 net.cpp:265] Setting up conv2
I0914 13:45:36.323472  8223 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0914 13:45:36.323480  8223 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0914 13:45:36.323484  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.323490  8223 net.cpp:205] Created Layer relu2 (6)
I0914 13:45:36.323494  8223 net.cpp:577] relu2 <- conv2
I0914 13:45:36.323499  8223 net.cpp:532] relu2 -> conv2 (in-place)
I0914 13:45:36.323504  8223 net.cpp:265] Setting up relu2
I0914 13:45:36.323509  8223 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0914 13:45:36.323515  8223 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0914 13:45:36.323519  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.323525  8223 net.cpp:205] Created Layer pool2 (7)
I0914 13:45:36.323530  8223 net.cpp:577] pool2 <- conv2
I0914 13:45:36.323534  8223 net.cpp:547] pool2 -> pool2
I0914 13:45:36.323544  8223 net.cpp:265] Setting up pool2
I0914 13:45:36.323549  8223 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0914 13:45:36.323555  8223 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0914 13:45:36.323559  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.323568  8223 net.cpp:205] Created Layer norm2 (8)
I0914 13:45:36.323573  8223 net.cpp:577] norm2 <- pool2
I0914 13:45:36.323577  8223 net.cpp:547] norm2 -> norm2
I0914 13:45:36.323596  8223 net.cpp:265] Setting up norm2
I0914 13:45:36.323601  8223 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0914 13:45:36.323606  8223 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0914 13:45:36.323608  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.323618  8223 net.cpp:205] Created Layer conv3 (9)
I0914 13:45:36.323622  8223 net.cpp:577] conv3 <- norm2
I0914 13:45:36.323625  8223 net.cpp:547] conv3 -> conv3
I0914 13:45:36.330147  8223 net.cpp:265] Setting up conv3
I0914 13:45:36.330153  8223 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0914 13:45:36.330161  8223 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0914 13:45:36.330165  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.330170  8223 net.cpp:205] Created Layer relu3 (10)
I0914 13:45:36.330173  8223 net.cpp:577] relu3 <- conv3
I0914 13:45:36.330178  8223 net.cpp:532] relu3 -> conv3 (in-place)
I0914 13:45:36.330181  8223 net.cpp:265] Setting up relu3
I0914 13:45:36.330185  8223 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0914 13:45:36.330189  8223 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0914 13:45:36.330193  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.330201  8223 net.cpp:205] Created Layer conv4 (11)
I0914 13:45:36.330205  8223 net.cpp:577] conv4 <- conv3
I0914 13:45:36.330209  8223 net.cpp:547] conv4 -> conv4
I0914 13:45:36.335188  8223 net.cpp:265] Setting up conv4
I0914 13:45:36.335196  8223 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0914 13:45:36.335201  8223 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0914 13:45:36.335206  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.335211  8223 net.cpp:205] Created Layer relu4 (12)
I0914 13:45:36.335213  8223 net.cpp:577] relu4 <- conv4
I0914 13:45:36.335217  8223 net.cpp:532] relu4 -> conv4 (in-place)
I0914 13:45:36.335222  8223 net.cpp:265] Setting up relu4
I0914 13:45:36.335225  8223 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0914 13:45:36.335230  8223 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0914 13:45:36.335233  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.335242  8223 net.cpp:205] Created Layer conv5 (13)
I0914 13:45:36.335245  8223 net.cpp:577] conv5 <- conv4
I0914 13:45:36.335249  8223 net.cpp:547] conv5 -> conv5
I0914 13:45:36.338732  8223 net.cpp:265] Setting up conv5
I0914 13:45:36.338737  8223 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0914 13:45:36.338742  8223 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0914 13:45:36.338747  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.338752  8223 net.cpp:205] Created Layer relu5 (14)
I0914 13:45:36.338755  8223 net.cpp:577] relu5 <- conv5
I0914 13:45:36.338759  8223 net.cpp:532] relu5 -> conv5 (in-place)
I0914 13:45:36.338763  8223 net.cpp:265] Setting up relu5
I0914 13:45:36.338768  8223 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0914 13:45:36.338773  8223 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0914 13:45:36.338776  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.338781  8223 net.cpp:205] Created Layer pool5 (15)
I0914 13:45:36.338785  8223 net.cpp:577] pool5 <- conv5
I0914 13:45:36.338789  8223 net.cpp:547] pool5 -> pool5
I0914 13:45:36.338796  8223 net.cpp:265] Setting up pool5
I0914 13:45:36.338800  8223 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0914 13:45:36.338804  8223 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0914 13:45:36.338809  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.338829  8223 net.cpp:205] Created Layer fc6 (16)
I0914 13:45:36.338832  8223 net.cpp:577] fc6 <- pool5
I0914 13:45:36.338836  8223 net.cpp:547] fc6 -> fc6
I0914 13:45:36.622373  8223 net.cpp:265] Setting up fc6
I0914 13:45:36.622399  8223 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0914 13:45:36.622414  8223 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0914 13:45:36.622419  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.622433  8223 net.cpp:205] Created Layer relu6 (17)
I0914 13:45:36.622438  8223 net.cpp:577] relu6 <- fc6
I0914 13:45:36.622443  8223 net.cpp:532] relu6 -> fc6 (in-place)
I0914 13:45:36.622448  8223 net.cpp:265] Setting up relu6
I0914 13:45:36.622452  8223 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0914 13:45:36.622457  8223 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0914 13:45:36.622460  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.622468  8223 net.cpp:205] Created Layer drop6 (18)
I0914 13:45:36.622473  8223 net.cpp:577] drop6 <- fc6
I0914 13:45:36.622479  8223 net.cpp:532] drop6 -> fc6 (in-place)
I0914 13:45:36.622485  8223 net.cpp:265] Setting up drop6
I0914 13:45:36.622489  8223 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0914 13:45:36.622493  8223 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0914 13:45:36.622498  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.622504  8223 net.cpp:205] Created Layer fc7 (19)
I0914 13:45:36.622509  8223 net.cpp:577] fc7 <- fc6
I0914 13:45:36.622514  8223 net.cpp:547] fc7 -> fc7
I0914 13:45:36.751518  8223 net.cpp:265] Setting up fc7
I0914 13:45:36.751531  8223 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0914 13:45:36.751541  8223 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0914 13:45:36.751545  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.751554  8223 net.cpp:205] Created Layer relu7 (20)
I0914 13:45:36.751557  8223 net.cpp:577] relu7 <- fc7
I0914 13:45:36.751564  8223 net.cpp:532] relu7 -> fc7 (in-place)
I0914 13:45:36.751569  8223 net.cpp:265] Setting up relu7
I0914 13:45:36.751574  8223 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0914 13:45:36.751578  8223 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0914 13:45:36.751582  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.751587  8223 net.cpp:205] Created Layer drop7 (21)
I0914 13:45:36.751591  8223 net.cpp:577] drop7 <- fc7
I0914 13:45:36.751595  8223 net.cpp:532] drop7 -> fc7 (in-place)
I0914 13:45:36.751602  8223 net.cpp:265] Setting up drop7
I0914 13:45:36.751606  8223 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0914 13:45:36.751611  8223 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0914 13:45:36.751616  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.751622  8223 net.cpp:205] Created Layer fc8 (22)
I0914 13:45:36.751626  8223 net.cpp:577] fc8 <- fc7
I0914 13:45:36.751631  8223 net.cpp:547] fc8 -> fc8
I0914 13:45:36.781451  8223 net.cpp:265] Setting up fc8
I0914 13:45:36.781463  8223 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0914 13:45:36.781472  8223 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0914 13:45:36.781477  8223 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0914 13:45:36.781493  8223 net.cpp:205] Created Layer prob (23)
I0914 13:45:36.781497  8223 net.cpp:577] prob <- fc8
I0914 13:45:36.781502  8223 net.cpp:547] prob -> prob
I0914 13:45:36.781520  8223 net.cpp:265] Setting up prob
I0914 13:45:36.781524  8223 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0914 13:45:36.781561  8223 net.cpp:343] prob does not need backward computation.
I0914 13:45:36.781565  8223 net.cpp:343] fc8 does not need backward computation.
I0914 13:45:36.781569  8223 net.cpp:343] drop7 does not need backward computation.
I0914 13:45:36.781574  8223 net.cpp:343] relu7 does not need backward computation.
I0914 13:45:36.781577  8223 net.cpp:343] fc7 does not need backward computation.
I0914 13:45:36.781581  8223 net.cpp:343] drop6 does not need backward computation.
I0914 13:45:36.781585  8223 net.cpp:343] relu6 does not need backward computation.
I0914 13:45:36.781590  8223 net.cpp:343] fc6 does not need backward computation.
I0914 13:45:36.781594  8223 net.cpp:343] pool5 does not need backward computation.
I0914 13:45:36.781599  8223 net.cpp:343] relu5 does not need backward computation.
I0914 13:45:36.781605  8223 net.cpp:343] conv5 does not need backward computation.
I0914 13:45:36.781610  8223 net.cpp:343] relu4 does not need backward computation.
I0914 13:45:36.781613  8223 net.cpp:343] conv4 does not need backward computation.
I0914 13:45:36.781616  8223 net.cpp:343] relu3 does not need backward computation.
I0914 13:45:36.781621  8223 net.cpp:343] conv3 does not need backward computation.
I0914 13:45:36.781625  8223 net.cpp:343] norm2 does not need backward computation.
I0914 13:45:36.781628  8223 net.cpp:343] pool2 does not need backward computation.
I0914 13:45:36.781633  8223 net.cpp:343] relu2 does not need backward computation.
I0914 13:45:36.781638  8223 net.cpp:343] conv2 does not need backward computation.
I0914 13:45:36.781642  8223 net.cpp:343] norm1 does not need backward computation.
I0914 13:45:36.781647  8223 net.cpp:343] pool1 does not need backward computation.
I0914 13:45:36.781651  8223 net.cpp:343] relu1 does not need backward computation.
I0914 13:45:36.781656  8223 net.cpp:343] conv1 does not need backward computation.
I0914 13:45:36.781661  8223 net.cpp:343] data does not need backward computation.
I0914 13:45:36.781664  8223 net.cpp:385] This network produces output prob
I0914 13:45:36.781682  8223 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0914 13:45:36.781685  8223 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0914 13:45:36.781689  8223 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0914 13:45:36.781693  8223 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0914 13:45:36.781698  8223 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0914 13:45:36.781703  8223 net.cpp:426] Network initialization done.
I0914 13:45:37.079459  8223 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
I0914 13:45:37.079491  8223 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0914 13:45:37.079495  8223 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0914 13:45:37.079526  8223 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
I0914 13:45:37.347805  8223 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0914 13:45:37.360966  8223 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0914 13:45:37.360980  8223 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0914 13:45:37.361186  8223 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0914 13:45:37.361192  8223 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0914 13:45:37.361195  8223 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0914 13:45:37.361199  8223 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0914 13:45:37.363093  8223 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0914 13:45:37.363101  8223 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0914 13:45:37.363106  8223 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0914 13:45:37.363108  8223 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0914 13:45:37.368438  8223 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0914 13:45:37.368446  8223 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0914 13:45:37.372455  8223 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0914 13:45:37.372463  8223 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0914 13:45:37.375124  8223 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0914 13:45:37.375133  8223 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0914 13:45:37.375136  8223 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0914 13:45:37.602057  8223 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0914 13:45:37.602067  8223 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0914 13:45:37.602070  8223 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0914 13:45:37.703027  8223 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0914 13:45:37.703037  8223 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0914 13:45:37.703039  8223 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0914 13:45:37.727684  8223 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0002.jpg
Classifying 1 inputs.
Done in 0.30 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 | 99.9%
#2 | n02105641 Old English sheepdog, bobtail |  0.0%
#3 | n02104029 kuvasz |  0.0%
chibi@2204:~/caffe$