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
I1023 14:11:32.482437  3056 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W1023 14:11:32.582196  3056 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W1023 14:11:32.582401  3056 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W1023 14:11:32.582407  3056 _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')
I1023 14:11:32.582656  3056 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"
}
I1023 14:11:32.582851  3056 net.cpp:116] Using FLOAT as default forward math type
I1023 14:11:32.582857  3056 net.cpp:122] Using FLOAT as default backward math type
I1023 14:11:32.582861  3056 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I1023 14:11:32.582865  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.582877  3056 net.cpp:205] Created Layer data (0)
I1023 14:11:32.582883  3056 net.cpp:547] data -> data
I1023 14:11:32.582898  3056 net.cpp:265] Setting up data
I1023 14:11:32.582902  3056 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I1023 14:11:32.582914  3056 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I1023 14:11:32.582918  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.582945  3056 net.cpp:205] Created Layer conv1 (1)
I1023 14:11:32.582952  3056 net.cpp:577] conv1 <- data
I1023 14:11:32.582957  3056 net.cpp:547] conv1 -> conv1
I1023 14:11:32.583283  3056 net.cpp:265] Setting up conv1
I1023 14:11:32.583287  3056 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I1023 14:11:32.583302  3056 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I1023 14:11:32.583307  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.583312  3056 net.cpp:205] Created Layer relu1 (2)
I1023 14:11:32.583315  3056 net.cpp:577] relu1 <- conv1
I1023 14:11:32.583318  3056 net.cpp:532] relu1 -> conv1 (in-place)
I1023 14:11:32.583323  3056 net.cpp:265] Setting up relu1
I1023 14:11:32.583326  3056 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I1023 14:11:32.583330  3056 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I1023 14:11:32.583335  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.583341  3056 net.cpp:205] Created Layer pool1 (3)
I1023 14:11:32.583345  3056 net.cpp:577] pool1 <- conv1
I1023 14:11:32.583349  3056 net.cpp:547] pool1 -> pool1
I1023 14:11:32.583359  3056 net.cpp:265] Setting up pool1
I1023 14:11:32.583362  3056 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I1023 14:11:32.583366  3056 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I1023 14:11:32.583370  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.583377  3056 net.cpp:205] Created Layer norm1 (4)
I1023 14:11:32.583381  3056 net.cpp:577] norm1 <- pool1
I1023 14:11:32.583385  3056 net.cpp:547] norm1 -> norm1
I1023 14:11:32.583393  3056 net.cpp:265] Setting up norm1
I1023 14:11:32.583396  3056 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I1023 14:11:32.583401  3056 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I1023 14:11:32.583405  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.583411  3056 net.cpp:205] Created Layer conv2 (5)
I1023 14:11:32.583415  3056 net.cpp:577] conv2 <- norm1
I1023 14:11:32.583418  3056 net.cpp:547] conv2 -> conv2
I1023 14:11:32.586221  3056 net.cpp:265] Setting up conv2
I1023 14:11:32.586226  3056 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I1023 14:11:32.586233  3056 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I1023 14:11:32.586236  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.586241  3056 net.cpp:205] Created Layer relu2 (6)
I1023 14:11:32.586244  3056 net.cpp:577] relu2 <- conv2
I1023 14:11:32.586248  3056 net.cpp:532] relu2 -> conv2 (in-place)
I1023 14:11:32.586252  3056 net.cpp:265] Setting up relu2
I1023 14:11:32.586256  3056 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I1023 14:11:32.586261  3056 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I1023 14:11:32.586263  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.586269  3056 net.cpp:205] Created Layer pool2 (7)
I1023 14:11:32.586272  3056 net.cpp:577] pool2 <- conv2
I1023 14:11:32.586277  3056 net.cpp:547] pool2 -> pool2
I1023 14:11:32.586282  3056 net.cpp:265] Setting up pool2
I1023 14:11:32.586285  3056 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I1023 14:11:32.586290  3056 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I1023 14:11:32.586303  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.586310  3056 net.cpp:205] Created Layer norm2 (8)
I1023 14:11:32.586314  3056 net.cpp:577] norm2 <- pool2
I1023 14:11:32.586318  3056 net.cpp:547] norm2 -> norm2
I1023 14:11:32.586333  3056 net.cpp:265] Setting up norm2
I1023 14:11:32.586336  3056 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I1023 14:11:32.586344  3056 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I1023 14:11:32.586347  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.586355  3056 net.cpp:205] Created Layer conv3 (9)
I1023 14:11:32.586359  3056 net.cpp:577] conv3 <- norm2
I1023 14:11:32.586364  3056 net.cpp:547] conv3 -> conv3
I1023 14:11:32.593693  3056 net.cpp:265] Setting up conv3
I1023 14:11:32.593698  3056 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I1023 14:11:32.593704  3056 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I1023 14:11:32.593708  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.593713  3056 net.cpp:205] Created Layer relu3 (10)
I1023 14:11:32.593717  3056 net.cpp:577] relu3 <- conv3
I1023 14:11:32.593720  3056 net.cpp:532] relu3 -> conv3 (in-place)
I1023 14:11:32.593724  3056 net.cpp:265] Setting up relu3
I1023 14:11:32.593727  3056 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I1023 14:11:32.593732  3056 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I1023 14:11:32.593735  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.593742  3056 net.cpp:205] Created Layer conv4 (11)
I1023 14:11:32.593746  3056 net.cpp:577] conv4 <- conv3
I1023 14:11:32.593750  3056 net.cpp:547] conv4 -> conv4
I1023 14:11:32.599104  3056 net.cpp:265] Setting up conv4
I1023 14:11:32.599109  3056 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I1023 14:11:32.599117  3056 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I1023 14:11:32.599120  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.599125  3056 net.cpp:205] Created Layer relu4 (12)
I1023 14:11:32.599129  3056 net.cpp:577] relu4 <- conv4
I1023 14:11:32.599133  3056 net.cpp:532] relu4 -> conv4 (in-place)
I1023 14:11:32.599136  3056 net.cpp:265] Setting up relu4
I1023 14:11:32.599140  3056 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I1023 14:11:32.599144  3056 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I1023 14:11:32.599148  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.599154  3056 net.cpp:205] Created Layer conv5 (13)
I1023 14:11:32.599159  3056 net.cpp:577] conv5 <- conv4
I1023 14:11:32.599161  3056 net.cpp:547] conv5 -> conv5
I1023 14:11:32.602730  3056 net.cpp:265] Setting up conv5
I1023 14:11:32.602736  3056 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I1023 14:11:32.602743  3056 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I1023 14:11:32.602747  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.602751  3056 net.cpp:205] Created Layer relu5 (14)
I1023 14:11:32.602756  3056 net.cpp:577] relu5 <- conv5
I1023 14:11:32.602759  3056 net.cpp:532] relu5 -> conv5 (in-place)
I1023 14:11:32.602763  3056 net.cpp:265] Setting up relu5
I1023 14:11:32.602766  3056 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I1023 14:11:32.602771  3056 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I1023 14:11:32.602774  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.602782  3056 net.cpp:205] Created Layer pool5 (15)
I1023 14:11:32.602785  3056 net.cpp:577] pool5 <- conv5
I1023 14:11:32.602788  3056 net.cpp:547] pool5 -> pool5
I1023 14:11:32.602794  3056 net.cpp:265] Setting up pool5
I1023 14:11:32.602797  3056 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I1023 14:11:32.602802  3056 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I1023 14:11:32.602806  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.602838  3056 net.cpp:205] Created Layer fc6 (16)
I1023 14:11:32.602841  3056 net.cpp:577] fc6 <- pool5
I1023 14:11:32.602844  3056 net.cpp:547] fc6 -> fc6
I1023 14:11:32.907660  3056 net.cpp:265] Setting up fc6
I1023 14:11:32.907689  3056 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I1023 14:11:32.907704  3056 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I1023 14:11:32.907711  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.907722  3056 net.cpp:205] Created Layer relu6 (17)
I1023 14:11:32.907728  3056 net.cpp:577] relu6 <- fc6
I1023 14:11:32.907733  3056 net.cpp:532] relu6 -> fc6 (in-place)
I1023 14:11:32.907738  3056 net.cpp:265] Setting up relu6
I1023 14:11:32.907742  3056 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I1023 14:11:32.907745  3056 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I1023 14:11:32.907750  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.907756  3056 net.cpp:205] Created Layer drop6 (18)
I1023 14:11:32.907763  3056 net.cpp:577] drop6 <- fc6
I1023 14:11:32.907768  3056 net.cpp:532] drop6 -> fc6 (in-place)
I1023 14:11:32.907773  3056 net.cpp:265] Setting up drop6
I1023 14:11:32.907775  3056 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I1023 14:11:32.907779  3056 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I1023 14:11:32.907783  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:32.907792  3056 net.cpp:205] Created Layer fc7 (19)
I1023 14:11:32.907795  3056 net.cpp:577] fc7 <- fc6
I1023 14:11:32.907799  3056 net.cpp:547] fc7 -> fc7
I1023 14:11:33.049005  3056 net.cpp:265] Setting up fc7
I1023 14:11:33.049031  3056 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I1023 14:11:33.049046  3056 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I1023 14:11:33.049050  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:33.049060  3056 net.cpp:205] Created Layer relu7 (20)
I1023 14:11:33.049065  3056 net.cpp:577] relu7 <- fc7
I1023 14:11:33.049070  3056 net.cpp:532] relu7 -> fc7 (in-place)
I1023 14:11:33.049077  3056 net.cpp:265] Setting up relu7
I1023 14:11:33.049079  3056 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I1023 14:11:33.049083  3056 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I1023 14:11:33.049088  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:33.049093  3056 net.cpp:205] Created Layer drop7 (21)
I1023 14:11:33.049098  3056 net.cpp:577] drop7 <- fc7
I1023 14:11:33.049103  3056 net.cpp:532] drop7 -> fc7 (in-place)
I1023 14:11:33.049108  3056 net.cpp:265] Setting up drop7
I1023 14:11:33.049111  3056 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I1023 14:11:33.049115  3056 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I1023 14:11:33.049120  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:33.049127  3056 net.cpp:205] Created Layer fc8 (22)
I1023 14:11:33.049131  3056 net.cpp:577] fc8 <- fc7
I1023 14:11:33.049134  3056 net.cpp:547] fc8 -> fc8
I1023 14:11:33.082494  3056 net.cpp:265] Setting up fc8
I1023 14:11:33.082520  3056 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I1023 14:11:33.082531  3056 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I1023 14:11:33.082537  3056 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I1023 14:11:33.082551  3056 net.cpp:205] Created Layer prob (23)
I1023 14:11:33.082557  3056 net.cpp:577] prob <- fc8
I1023 14:11:33.082562  3056 net.cpp:547] prob -> prob
I1023 14:11:33.082581  3056 net.cpp:265] Setting up prob
I1023 14:11:33.082584  3056 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I1023 14:11:33.082628  3056 net.cpp:343] prob does not need backward computation.
I1023 14:11:33.082635  3056 net.cpp:343] fc8 does not need backward computation.
I1023 14:11:33.082639  3056 net.cpp:343] drop7 does not need backward computation.
I1023 14:11:33.082643  3056 net.cpp:343] relu7 does not need backward computation.
I1023 14:11:33.082646  3056 net.cpp:343] fc7 does not need backward computation.
I1023 14:11:33.082650  3056 net.cpp:343] drop6 does not need backward computation.
I1023 14:11:33.082654  3056 net.cpp:343] relu6 does not need backward computation.
I1023 14:11:33.082659  3056 net.cpp:343] fc6 does not need backward computation.
I1023 14:11:33.082664  3056 net.cpp:343] pool5 does not need backward computation.
I1023 14:11:33.082667  3056 net.cpp:343] relu5 does not need backward computation.
I1023 14:11:33.082671  3056 net.cpp:343] conv5 does not need backward computation.
I1023 14:11:33.082676  3056 net.cpp:343] relu4 does not need backward computation.
I1023 14:11:33.082680  3056 net.cpp:343] conv4 does not need backward computation.
I1023 14:11:33.082684  3056 net.cpp:343] relu3 does not need backward computation.
I1023 14:11:33.082690  3056 net.cpp:343] conv3 does not need backward computation.
I1023 14:11:33.082693  3056 net.cpp:343] norm2 does not need backward computation.
I1023 14:11:33.082698  3056 net.cpp:343] pool2 does not need backward computation.
I1023 14:11:33.082701  3056 net.cpp:343] relu2 does not need backward computation.
I1023 14:11:33.082706  3056 net.cpp:343] conv2 does not need backward computation.
I1023 14:11:33.082710  3056 net.cpp:343] norm1 does not need backward computation.
I1023 14:11:33.082715  3056 net.cpp:343] pool1 does not need backward computation.
I1023 14:11:33.082720  3056 net.cpp:343] relu1 does not need backward computation.
I1023 14:11:33.082722  3056 net.cpp:343] conv1 does not need backward computation.
I1023 14:11:33.082727  3056 net.cpp:343] data does not need backward computation.
I1023 14:11:33.082731  3056 net.cpp:385] This network produces output prob
I1023 14:11:33.082751  3056 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I1023 14:11:33.082756  3056 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I1023 14:11:33.082758  3056 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I1023 14:11:33.082762  3056 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I1023 14:11:33.082767  3056 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I1023 14:11:33.082770  3056 net.cpp:426] Network initialization done.
I1023 14:11:33.257426  3056 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
I1023 14:11:33.257464  3056 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W1023 14:11:33.257468  3056 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I1023 14:11:33.257498  3056 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
I1023 14:11:33.424485  3056 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I1023 14:11:33.431674  3056 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I1023 14:11:33.431681  3056 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I1023 14:11:33.431927  3056 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I1023 14:11:33.431931  3056 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I1023 14:11:33.431934  3056 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I1023 14:11:33.431937  3056 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I1023 14:11:33.434249  3056 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I1023 14:11:33.434254  3056 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I1023 14:11:33.434257  3056 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I1023 14:11:33.434262  3056 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I1023 14:11:33.440801  3056 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I1023 14:11:33.440807  3056 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I1023 14:11:33.445713  3056 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I1023 14:11:33.445719  3056 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I1023 14:11:33.448989  3056 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I1023 14:11:33.448994  3056 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I1023 14:11:33.448998  3056 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I1023 14:11:33.727607  3056 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I1023 14:11:33.727632  3056 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I1023 14:11:33.727636  3056 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I1023 14:11:33.851478  3056 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I1023 14:11:33.851503  3056 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I1023 14:11:33.851506  3056 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I1023 14:11:33.881742  3056 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0001.jpg
Classifying 1 inputs.
Done in 0.44 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$