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
I0504 08:44:28.328531  9447 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0504 08:44:28.485561  9447 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0504 08:44:28.485738  9447 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0504 08:44:28.485747  9447 _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')
I0504 08:44:28.487053  9447 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"
}
I0504 08:44:28.487493  9447 net.cpp:116] Using FLOAT as default forward math type
I0504 08:44:28.487500  9447 net.cpp:122] Using FLOAT as default backward math type
I0504 08:44:28.487505  9447 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0504 08:44:28.487510  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.487752  9447 net.cpp:205] Created Layer data (0)
I0504 08:44:28.487762  9447 net.cpp:547] data -> data
I0504 08:44:28.488148  9447 net.cpp:265] Setting up data
I0504 08:44:28.488155  9447 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0504 08:44:28.488168  9447 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0504 08:44:28.488173  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.488375  9447 net.cpp:205] Created Layer conv1 (1)
I0504 08:44:28.488382  9447 net.cpp:577] conv1 <- data
I0504 08:44:28.488387  9447 net.cpp:547] conv1 -> conv1
I0504 08:44:28.489642  9447 net.cpp:265] Setting up conv1
I0504 08:44:28.489650  9447 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0504 08:44:28.490064  9447 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0504 08:44:28.490072  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.490077  9447 net.cpp:205] Created Layer relu1 (2)
I0504 08:44:28.490080  9447 net.cpp:577] relu1 <- conv1
I0504 08:44:28.490084  9447 net.cpp:532] relu1 -> conv1 (in-place)
I0504 08:44:28.490095  9447 net.cpp:265] Setting up relu1
I0504 08:44:28.490099  9447 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0504 08:44:28.490103  9447 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0504 08:44:28.490108  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.490113  9447 net.cpp:205] Created Layer pool1 (3)
I0504 08:44:28.490118  9447 net.cpp:577] pool1 <- conv1
I0504 08:44:28.490120  9447 net.cpp:547] pool1 -> pool1
I0504 08:44:28.490309  9447 net.cpp:265] Setting up pool1
I0504 08:44:28.490314  9447 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0504 08:44:28.490319  9447 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0504 08:44:28.490322  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.490334  9447 net.cpp:205] Created Layer norm1 (4)
I0504 08:44:28.490338  9447 net.cpp:577] norm1 <- pool1
I0504 08:44:28.490342  9447 net.cpp:547] norm1 -> norm1
I0504 08:44:28.490476  9447 net.cpp:265] Setting up norm1
I0504 08:44:28.490480  9447 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0504 08:44:28.490486  9447 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0504 08:44:28.490490  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.490499  9447 net.cpp:205] Created Layer conv2 (5)
I0504 08:44:28.490502  9447 net.cpp:577] conv2 <- norm1
I0504 08:44:28.490506  9447 net.cpp:547] conv2 -> conv2
I0504 08:44:28.492834  9447 net.cpp:265] Setting up conv2
I0504 08:44:28.492841  9447 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0504 08:44:28.492847  9447 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0504 08:44:28.492851  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.492856  9447 net.cpp:205] Created Layer relu2 (6)
I0504 08:44:28.492859  9447 net.cpp:577] relu2 <- conv2
I0504 08:44:28.492863  9447 net.cpp:532] relu2 -> conv2 (in-place)
I0504 08:44:28.492868  9447 net.cpp:265] Setting up relu2
I0504 08:44:28.492871  9447 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0504 08:44:28.492877  9447 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0504 08:44:28.492880  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.492887  9447 net.cpp:205] Created Layer pool2 (7)
I0504 08:44:28.492892  9447 net.cpp:577] pool2 <- conv2
I0504 08:44:28.492895  9447 net.cpp:547] pool2 -> pool2
I0504 08:44:28.492900  9447 net.cpp:265] Setting up pool2
I0504 08:44:28.492904  9447 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0504 08:44:28.492909  9447 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0504 08:44:28.492913  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.492921  9447 net.cpp:205] Created Layer norm2 (8)
I0504 08:44:28.492924  9447 net.cpp:577] norm2 <- pool2
I0504 08:44:28.492928  9447 net.cpp:547] norm2 -> norm2
I0504 08:44:28.492946  9447 net.cpp:265] Setting up norm2
I0504 08:44:28.492950  9447 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0504 08:44:28.492959  9447 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0504 08:44:28.492962  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.492971  9447 net.cpp:205] Created Layer conv3 (9)
I0504 08:44:28.492975  9447 net.cpp:577] conv3 <- norm2
I0504 08:44:28.492978  9447 net.cpp:547] conv3 -> conv3
I0504 08:44:28.499637  9447 net.cpp:265] Setting up conv3
I0504 08:44:28.499643  9447 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0504 08:44:28.499651  9447 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0504 08:44:28.499655  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.499660  9447 net.cpp:205] Created Layer relu3 (10)
I0504 08:44:28.499665  9447 net.cpp:577] relu3 <- conv3
I0504 08:44:28.499668  9447 net.cpp:532] relu3 -> conv3 (in-place)
I0504 08:44:28.499672  9447 net.cpp:265] Setting up relu3
I0504 08:44:28.499676  9447 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0504 08:44:28.499680  9447 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0504 08:44:28.499684  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.499693  9447 net.cpp:205] Created Layer conv4 (11)
I0504 08:44:28.499697  9447 net.cpp:577] conv4 <- conv3
I0504 08:44:28.499701  9447 net.cpp:547] conv4 -> conv4
I0504 08:44:28.504685  9447 net.cpp:265] Setting up conv4
I0504 08:44:28.504691  9447 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0504 08:44:28.504698  9447 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0504 08:44:28.504702  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.504707  9447 net.cpp:205] Created Layer relu4 (12)
I0504 08:44:28.504711  9447 net.cpp:577] relu4 <- conv4
I0504 08:44:28.504715  9447 net.cpp:532] relu4 -> conv4 (in-place)
I0504 08:44:28.504719  9447 net.cpp:265] Setting up relu4
I0504 08:44:28.504724  9447 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0504 08:44:28.504727  9447 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0504 08:44:28.504731  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.504739  9447 net.cpp:205] Created Layer conv5 (13)
I0504 08:44:28.504742  9447 net.cpp:577] conv5 <- conv4
I0504 08:44:28.504746  9447 net.cpp:547] conv5 -> conv5
I0504 08:44:28.508108  9447 net.cpp:265] Setting up conv5
I0504 08:44:28.508113  9447 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0504 08:44:28.508121  9447 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0504 08:44:28.508124  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.508128  9447 net.cpp:205] Created Layer relu5 (14)
I0504 08:44:28.508132  9447 net.cpp:577] relu5 <- conv5
I0504 08:44:28.508136  9447 net.cpp:532] relu5 -> conv5 (in-place)
I0504 08:44:28.508140  9447 net.cpp:265] Setting up relu5
I0504 08:44:28.508144  9447 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0504 08:44:28.508148  9447 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0504 08:44:28.508152  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.508162  9447 net.cpp:205] Created Layer pool5 (15)
I0504 08:44:28.508165  9447 net.cpp:577] pool5 <- conv5
I0504 08:44:28.508169  9447 net.cpp:547] pool5 -> pool5
I0504 08:44:28.508174  9447 net.cpp:265] Setting up pool5
I0504 08:44:28.508178  9447 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0504 08:44:28.508183  9447 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0504 08:44:28.508186  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.508209  9447 net.cpp:205] Created Layer fc6 (16)
I0504 08:44:28.508214  9447 net.cpp:577] fc6 <- pool5
I0504 08:44:28.508217  9447 net.cpp:547] fc6 -> fc6
I0504 08:44:28.800367  9447 net.cpp:265] Setting up fc6
I0504 08:44:28.800379  9447 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0504 08:44:28.800385  9447 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0504 08:44:28.800390  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.800395  9447 net.cpp:205] Created Layer relu6 (17)
I0504 08:44:28.800400  9447 net.cpp:577] relu6 <- fc6
I0504 08:44:28.800405  9447 net.cpp:532] relu6 -> fc6 (in-place)
I0504 08:44:28.800410  9447 net.cpp:265] Setting up relu6
I0504 08:44:28.800413  9447 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0504 08:44:28.800417  9447 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0504 08:44:28.800422  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.800431  9447 net.cpp:205] Created Layer drop6 (18)
I0504 08:44:28.800434  9447 net.cpp:577] drop6 <- fc6
I0504 08:44:28.800437  9447 net.cpp:532] drop6 -> fc6 (in-place)
I0504 08:44:28.800442  9447 net.cpp:265] Setting up drop6
I0504 08:44:28.800446  9447 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0504 08:44:28.800450  9447 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0504 08:44:28.800454  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.800459  9447 net.cpp:205] Created Layer fc7 (19)
I0504 08:44:28.800463  9447 net.cpp:577] fc7 <- fc6
I0504 08:44:28.800467  9447 net.cpp:547] fc7 -> fc7
I0504 08:44:28.928755  9447 net.cpp:265] Setting up fc7
I0504 08:44:28.928762  9447 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0504 08:44:28.928768  9447 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0504 08:44:28.928772  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.928777  9447 net.cpp:205] Created Layer relu7 (20)
I0504 08:44:28.928781  9447 net.cpp:577] relu7 <- fc7
I0504 08:44:28.928786  9447 net.cpp:532] relu7 -> fc7 (in-place)
I0504 08:44:28.928789  9447 net.cpp:265] Setting up relu7
I0504 08:44:28.928792  9447 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0504 08:44:28.928797  9447 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0504 08:44:28.928800  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.928807  9447 net.cpp:205] Created Layer drop7 (21)
I0504 08:44:28.928812  9447 net.cpp:577] drop7 <- fc7
I0504 08:44:28.928819  9447 net.cpp:532] drop7 -> fc7 (in-place)
I0504 08:44:28.928823  9447 net.cpp:265] Setting up drop7
I0504 08:44:28.928826  9447 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0504 08:44:28.928830  9447 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0504 08:44:28.928834  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.928839  9447 net.cpp:205] Created Layer fc8 (22)
I0504 08:44:28.928843  9447 net.cpp:577] fc8 <- fc7
I0504 08:44:28.928848  9447 net.cpp:547] fc8 -> fc8
I0504 08:44:28.959496  9447 net.cpp:265] Setting up fc8
I0504 08:44:28.959502  9447 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0504 08:44:28.959507  9447 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0504 08:44:28.959511  9447 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0504 08:44:28.959522  9447 net.cpp:205] Created Layer prob (23)
I0504 08:44:28.959525  9447 net.cpp:577] prob <- fc8
I0504 08:44:28.959530  9447 net.cpp:547] prob -> prob
I0504 08:44:28.959975  9447 net.cpp:265] Setting up prob
I0504 08:44:28.959981  9447 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0504 08:44:28.960005  9447 net.cpp:343] prob does not need backward computation.
I0504 08:44:28.960009  9447 net.cpp:343] fc8 does not need backward computation.
I0504 08:44:28.960013  9447 net.cpp:343] drop7 does not need backward computation.
I0504 08:44:28.960017  9447 net.cpp:343] relu7 does not need backward computation.
I0504 08:44:28.960021  9447 net.cpp:343] fc7 does not need backward computation.
I0504 08:44:28.960024  9447 net.cpp:343] drop6 does not need backward computation.
I0504 08:44:28.960027  9447 net.cpp:343] relu6 does not need backward computation.
I0504 08:44:28.960031  9447 net.cpp:343] fc6 does not need backward computation.
I0504 08:44:28.960036  9447 net.cpp:343] pool5 does not need backward computation.
I0504 08:44:28.960040  9447 net.cpp:343] relu5 does not need backward computation.
I0504 08:44:28.960043  9447 net.cpp:343] conv5 does not need backward computation.
I0504 08:44:28.960047  9447 net.cpp:343] relu4 does not need backward computation.
I0504 08:44:28.960050  9447 net.cpp:343] conv4 does not need backward computation.
I0504 08:44:28.960057  9447 net.cpp:343] relu3 does not need backward computation.
I0504 08:44:28.960060  9447 net.cpp:343] conv3 does not need backward computation.
I0504 08:44:28.960064  9447 net.cpp:343] norm2 does not need backward computation.
I0504 08:44:28.960069  9447 net.cpp:343] pool2 does not need backward computation.
I0504 08:44:28.960073  9447 net.cpp:343] relu2 does not need backward computation.
I0504 08:44:28.960078  9447 net.cpp:343] conv2 does not need backward computation.
I0504 08:44:28.960080  9447 net.cpp:343] norm1 does not need backward computation.
I0504 08:44:28.960084  9447 net.cpp:343] pool1 does not need backward computation.
I0504 08:44:28.960088  9447 net.cpp:343] relu1 does not need backward computation.
I0504 08:44:28.960093  9447 net.cpp:343] conv1 does not need backward computation.
I0504 08:44:28.960098  9447 net.cpp:343] data does not need backward computation.
I0504 08:44:28.960100  9447 net.cpp:385] This network produces output prob
I0504 08:44:28.960116  9447 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0504 08:44:28.960120  9447 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0504 08:44:28.960124  9447 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0504 08:44:28.960127  9447 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0504 08:44:28.960131  9447 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0504 08:44:28.960134  9447 net.cpp:426] Network initialization done.
I0504 08:44:29.323297  9447 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
I0504 08:44:29.323326  9447 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0504 08:44:29.323330  9447 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0504 08:44:29.323356  9447 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
I0504 08:44:29.593916  9447 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0504 08:44:29.606196  9447 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0504 08:44:29.606210  9447 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0504 08:44:29.606411  9447 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0504 08:44:29.606416  9447 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0504 08:44:29.606420  9447 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0504 08:44:29.606423  9447 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0504 08:44:29.608151  9447 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0504 08:44:29.608160  9447 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0504 08:44:29.608162  9447 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0504 08:44:29.608165  9447 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0504 08:44:29.613010  9447 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0504 08:44:29.613018  9447 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0504 08:44:29.616647  9447 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0504 08:44:29.616654  9447 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0504 08:44:29.619096  9447 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0504 08:44:29.619102  9447 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0504 08:44:29.619107  9447 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0504 08:44:29.825773  9447 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0504 08:44:29.825783  9447 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0504 08:44:29.825788  9447 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0504 08:44:29.917353  9447 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0504 08:44:29.917363  9447 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0504 08:44:29.917367  9447 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0504 08:44:29.939811  9447 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0002.jpg
Classifying 1 inputs.
Done in 0.24 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 | 99.9%
#2 | n02105641 Old English sheepdog, bobtail |  0.0%
#3 | n02104029 kuvasz |  0.0%
chibi@2204:~/caffe$