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
I0905 05:10:53.198748  2099 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0905 05:10:53.335259  2099 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0905 05:10:53.335510  2099 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0905 05:10:53.335563  2099 _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')
I0905 05:10:53.335886  2099 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"
}
I0905 05:10:53.336177  2099 net.cpp:116] Using FLOAT as default forward math type
I0905 05:10:53.336186  2099 net.cpp:122] Using FLOAT as default backward math type
I0905 05:10:53.336192  2099 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0905 05:10:53.336198  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.336238  2099 net.cpp:205] Created Layer data (0)
I0905 05:10:53.336246  2099 net.cpp:547] data -> data
I0905 05:10:53.336287  2099 net.cpp:265] Setting up data
I0905 05:10:53.336305  2099 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0905 05:10:53.336320  2099 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0905 05:10:53.336326  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.336401  2099 net.cpp:205] Created Layer conv1 (1)
I0905 05:10:53.336408  2099 net.cpp:577] conv1 <- data
I0905 05:10:53.336428  2099 net.cpp:547] conv1 -> conv1
I0905 05:10:53.336746  2099 net.cpp:265] Setting up conv1
I0905 05:10:53.336753  2099 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0905 05:10:53.336787  2099 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0905 05:10:53.336809  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.336828  2099 net.cpp:205] Created Layer relu1 (2)
I0905 05:10:53.336834  2099 net.cpp:577] relu1 <- conv1
I0905 05:10:53.336854  2099 net.cpp:532] relu1 -> conv1 (in-place)
I0905 05:10:53.336861  2099 net.cpp:265] Setting up relu1
I0905 05:10:53.336867  2099 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0905 05:10:53.336875  2099 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0905 05:10:53.336881  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.336902  2099 net.cpp:205] Created Layer pool1 (3)
I0905 05:10:53.336908  2099 net.cpp:577] pool1 <- conv1
I0905 05:10:53.336915  2099 net.cpp:547] pool1 -> pool1
I0905 05:10:53.336928  2099 net.cpp:265] Setting up pool1
I0905 05:10:53.336935  2099 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0905 05:10:53.336941  2099 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0905 05:10:53.336947  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.336957  2099 net.cpp:205] Created Layer norm1 (4)
I0905 05:10:53.336963  2099 net.cpp:577] norm1 <- pool1
I0905 05:10:53.336969  2099 net.cpp:547] norm1 -> norm1
I0905 05:10:53.336977  2099 net.cpp:265] Setting up norm1
I0905 05:10:53.336983  2099 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0905 05:10:53.336990  2099 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0905 05:10:53.336997  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.337006  2099 net.cpp:205] Created Layer conv2 (5)
I0905 05:10:53.337013  2099 net.cpp:577] conv2 <- norm1
I0905 05:10:53.337018  2099 net.cpp:547] conv2 -> conv2
I0905 05:10:53.339568  2099 net.cpp:265] Setting up conv2
I0905 05:10:53.339576  2099 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0905 05:10:53.339587  2099 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0905 05:10:53.339593  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.339601  2099 net.cpp:205] Created Layer relu2 (6)
I0905 05:10:53.339607  2099 net.cpp:577] relu2 <- conv2
I0905 05:10:53.339627  2099 net.cpp:532] relu2 -> conv2 (in-place)
I0905 05:10:53.339633  2099 net.cpp:265] Setting up relu2
I0905 05:10:53.339639  2099 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0905 05:10:53.339646  2099 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0905 05:10:53.339653  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.339660  2099 net.cpp:205] Created Layer pool2 (7)
I0905 05:10:53.339666  2099 net.cpp:577] pool2 <- conv2
I0905 05:10:53.339673  2099 net.cpp:547] pool2 -> pool2
I0905 05:10:53.339682  2099 net.cpp:265] Setting up pool2
I0905 05:10:53.339689  2099 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0905 05:10:53.339696  2099 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0905 05:10:53.339702  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.339713  2099 net.cpp:205] Created Layer norm2 (8)
I0905 05:10:53.339720  2099 net.cpp:577] norm2 <- pool2
I0905 05:10:53.339725  2099 net.cpp:547] norm2 -> norm2
I0905 05:10:53.339746  2099 net.cpp:265] Setting up norm2
I0905 05:10:53.339752  2099 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0905 05:10:53.339761  2099 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0905 05:10:53.339766  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.339780  2099 net.cpp:205] Created Layer conv3 (9)
I0905 05:10:53.339787  2099 net.cpp:577] conv3 <- norm2
I0905 05:10:53.339793  2099 net.cpp:547] conv3 -> conv3
I0905 05:10:53.347229  2099 net.cpp:265] Setting up conv3
I0905 05:10:53.347239  2099 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0905 05:10:53.347283  2099 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0905 05:10:53.347290  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.347311  2099 net.cpp:205] Created Layer relu3 (10)
I0905 05:10:53.347317  2099 net.cpp:577] relu3 <- conv3
I0905 05:10:53.347324  2099 net.cpp:532] relu3 -> conv3 (in-place)
I0905 05:10:53.347347  2099 net.cpp:265] Setting up relu3
I0905 05:10:53.347353  2099 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0905 05:10:53.347362  2099 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0905 05:10:53.347381  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.347393  2099 net.cpp:205] Created Layer conv4 (11)
I0905 05:10:53.347412  2099 net.cpp:577] conv4 <- conv3
I0905 05:10:53.347419  2099 net.cpp:547] conv4 -> conv4
I0905 05:10:53.352973  2099 net.cpp:265] Setting up conv4
I0905 05:10:53.352982  2099 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0905 05:10:53.352993  2099 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0905 05:10:53.353013  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.353021  2099 net.cpp:205] Created Layer relu4 (12)
I0905 05:10:53.353027  2099 net.cpp:577] relu4 <- conv4
I0905 05:10:53.353046  2099 net.cpp:532] relu4 -> conv4 (in-place)
I0905 05:10:53.353053  2099 net.cpp:265] Setting up relu4
I0905 05:10:53.353060  2099 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0905 05:10:53.353066  2099 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0905 05:10:53.353072  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.353085  2099 net.cpp:205] Created Layer conv5 (13)
I0905 05:10:53.353091  2099 net.cpp:577] conv5 <- conv4
I0905 05:10:53.353096  2099 net.cpp:547] conv5 -> conv5
I0905 05:10:53.356964  2099 net.cpp:265] Setting up conv5
I0905 05:10:53.356974  2099 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0905 05:10:53.356985  2099 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0905 05:10:53.357007  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.357014  2099 net.cpp:205] Created Layer relu5 (14)
I0905 05:10:53.357020  2099 net.cpp:577] relu5 <- conv5
I0905 05:10:53.357038  2099 net.cpp:532] relu5 -> conv5 (in-place)
I0905 05:10:53.357059  2099 net.cpp:265] Setting up relu5
I0905 05:10:53.357065  2099 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0905 05:10:53.357072  2099 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0905 05:10:53.357079  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.357115  2099 net.cpp:205] Created Layer pool5 (15)
I0905 05:10:53.357121  2099 net.cpp:577] pool5 <- conv5
I0905 05:10:53.357141  2099 net.cpp:547] pool5 -> pool5
I0905 05:10:53.357163  2099 net.cpp:265] Setting up pool5
I0905 05:10:53.357183  2099 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0905 05:10:53.357190  2099 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0905 05:10:53.357209  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.357273  2099 net.cpp:205] Created Layer fc6 (16)
I0905 05:10:53.357280  2099 net.cpp:577] fc6 <- pool5
I0905 05:10:53.357287  2099 net.cpp:547] fc6 -> fc6
I0905 05:10:53.666527  2099 net.cpp:265] Setting up fc6
I0905 05:10:53.666548  2099 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0905 05:10:53.666561  2099 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0905 05:10:53.666568  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.666580  2099 net.cpp:205] Created Layer relu6 (17)
I0905 05:10:53.666589  2099 net.cpp:577] relu6 <- fc6
I0905 05:10:53.666610  2099 net.cpp:532] relu6 -> fc6 (in-place)
I0905 05:10:53.666620  2099 net.cpp:265] Setting up relu6
I0905 05:10:53.666625  2099 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0905 05:10:53.666631  2099 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0905 05:10:53.666649  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.666672  2099 net.cpp:205] Created Layer drop6 (18)
I0905 05:10:53.666679  2099 net.cpp:577] drop6 <- fc6
I0905 05:10:53.666685  2099 net.cpp:532] drop6 -> fc6 (in-place)
I0905 05:10:53.666707  2099 net.cpp:265] Setting up drop6
I0905 05:10:53.666712  2099 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0905 05:10:53.666731  2099 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0905 05:10:53.666738  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.666761  2099 net.cpp:205] Created Layer fc7 (19)
I0905 05:10:53.666767  2099 net.cpp:577] fc7 <- fc6
I0905 05:10:53.666790  2099 net.cpp:547] fc7 -> fc7
I0905 05:10:53.804191  2099 net.cpp:265] Setting up fc7
I0905 05:10:53.804211  2099 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0905 05:10:53.804226  2099 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0905 05:10:53.804232  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.804245  2099 net.cpp:205] Created Layer relu7 (20)
I0905 05:10:53.804252  2099 net.cpp:577] relu7 <- fc7
I0905 05:10:53.804275  2099 net.cpp:532] relu7 -> fc7 (in-place)
I0905 05:10:53.804297  2099 net.cpp:265] Setting up relu7
I0905 05:10:53.804304  2099 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0905 05:10:53.804311  2099 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0905 05:10:53.804317  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.804339  2099 net.cpp:205] Created Layer drop7 (21)
I0905 05:10:53.804347  2099 net.cpp:577] drop7 <- fc7
I0905 05:10:53.804366  2099 net.cpp:532] drop7 -> fc7 (in-place)
I0905 05:10:53.804374  2099 net.cpp:265] Setting up drop7
I0905 05:10:53.804380  2099 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0905 05:10:53.804387  2099 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0905 05:10:53.804394  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.804405  2099 net.cpp:205] Created Layer fc8 (22)
I0905 05:10:53.804412  2099 net.cpp:577] fc8 <- fc7
I0905 05:10:53.804419  2099 net.cpp:547] fc8 -> fc8
I0905 05:10:53.838436  2099 net.cpp:265] Setting up fc8
I0905 05:10:53.838456  2099 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0905 05:10:53.838469  2099 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0905 05:10:53.838476  2099 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0905 05:10:53.838490  2099 net.cpp:205] Created Layer prob (23)
I0905 05:10:53.838497  2099 net.cpp:577] prob <- fc8
I0905 05:10:53.838521  2099 net.cpp:547] prob -> prob
I0905 05:10:53.838574  2099 net.cpp:265] Setting up prob
I0905 05:10:53.838580  2099 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0905 05:10:53.838660  2099 net.cpp:343] prob does not need backward computation.
I0905 05:10:53.838667  2099 net.cpp:343] fc8 does not need backward computation.
I0905 05:10:53.838687  2099 net.cpp:343] drop7 does not need backward computation.
I0905 05:10:53.838693  2099 net.cpp:343] relu7 does not need backward computation.
I0905 05:10:53.838699  2099 net.cpp:343] fc7 does not need backward computation.
I0905 05:10:53.838706  2099 net.cpp:343] drop6 does not need backward computation.
I0905 05:10:53.838711  2099 net.cpp:343] relu6 does not need backward computation.
I0905 05:10:53.838732  2099 net.cpp:343] fc6 does not need backward computation.
I0905 05:10:53.838737  2099 net.cpp:343] pool5 does not need backward computation.
I0905 05:10:53.838744  2099 net.cpp:343] relu5 does not need backward computation.
I0905 05:10:53.838750  2099 net.cpp:343] conv5 does not need backward computation.
I0905 05:10:53.838757  2099 net.cpp:343] relu4 does not need backward computation.
I0905 05:10:53.838763  2099 net.cpp:343] conv4 does not need backward computation.
I0905 05:10:53.838769  2099 net.cpp:343] relu3 does not need backward computation.
I0905 05:10:53.838775  2099 net.cpp:343] conv3 does not need backward computation.
I0905 05:10:53.838794  2099 net.cpp:343] norm2 does not need backward computation.
I0905 05:10:53.838801  2099 net.cpp:343] pool2 does not need backward computation.
I0905 05:10:53.838807  2099 net.cpp:343] relu2 does not need backward computation.
I0905 05:10:53.838814  2099 net.cpp:343] conv2 does not need backward computation.
I0905 05:10:53.838819  2099 net.cpp:343] norm1 does not need backward computation.
I0905 05:10:53.838826  2099 net.cpp:343] pool1 does not need backward computation.
I0905 05:10:53.838832  2099 net.cpp:343] relu1 does not need backward computation.
I0905 05:10:53.838838  2099 net.cpp:343] conv1 does not need backward computation.
I0905 05:10:53.838845  2099 net.cpp:343] data does not need backward computation.
I0905 05:10:53.838850  2099 net.cpp:385] This network produces output prob
I0905 05:10:53.838871  2099 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0905 05:10:53.838877  2099 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0905 05:10:53.838883  2099 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0905 05:10:53.838889  2099 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0905 05:10:53.838896  2099 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0905 05:10:53.838901  2099 net.cpp:426] Network initialization done.
I0905 05:10:54.147019  2099 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
I0905 05:10:54.147045  2099 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0905 05:10:54.147051  2099 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0905 05:10:54.147079  2099 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
I0905 05:10:54.430518  2099 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0905 05:10:54.441107  2099 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0905 05:10:54.441119  2099 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0905 05:10:54.441380  2099 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0905 05:10:54.441387  2099 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0905 05:10:54.441392  2099 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0905 05:10:54.441397  2099 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0905 05:10:54.443480  2099 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0905 05:10:54.443488  2099 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0905 05:10:54.443493  2099 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0905 05:10:54.443500  2099 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0905 05:10:54.449225  2099 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0905 05:10:54.449234  2099 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0905 05:10:54.453539  2099 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0905 05:10:54.453547  2099 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0905 05:10:54.456430  2099 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0905 05:10:54.456439  2099 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0905 05:10:54.456444  2099 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0905 05:10:54.699409  2099 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0905 05:10:54.699417  2099 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0905 05:10:54.699424  2099 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0905 05:10:54.807425  2099 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0905 05:10:54.807436  2099 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0905 05:10:54.807441  2099 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0905 05:10:54.833818  2099 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0002.jpg
Classifying 1 inputs.
Done in 0.23 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$