ubuntu@ubuntu:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/airplanes/image_0739.jpg ../result.npy; cd ..
I0304 05:22:13.173780  2116 gpu_memory.cpp:105] GPUMemory::Manager initialized
I0304 05:22:13.175175  2116 gpu_memory.cpp:107] Total memory: 16914055168, Free: 16573333504, dev_info[0]: total=16914055168 free=16573333504
CPU mode
W0304 05:22:13.175276  2116 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0304 05:22:13.175360  2116 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0304 05:22:13.175372  2116 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0304 05:22:13.178377  2116 net.cpp:83] 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"
}
I0304 05:22:13.178570  2116 net.cpp:113] Using FLOAT as default forward math type
I0304 05:22:13.178580  2116 net.cpp:119] Using FLOAT as default backward math type
I0304 05:22:13.178591  2116 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0304 05:22:13.178617  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.178635  2116 net.cpp:202] Created Layer data (0)
I0304 05:22:13.178643  2116 net.cpp:544] data -> data
I0304 05:22:13.178680  2116 net.cpp:262] Setting up data
I0304 05:22:13.178694  2116 net.cpp:269] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0304 05:22:13.178720  2116 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0304 05:22:13.178730  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.178761  2116 net.cpp:202] Created Layer conv1 (1)
I0304 05:22:13.178769  2116 net.cpp:574] conv1 <- data
I0304 05:22:13.178777  2116 net.cpp:544] conv1 -> conv1
I0304 05:22:13.179275  2116 net.cpp:262] Setting up conv1
I0304 05:22:13.179288  2116 net.cpp:269] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0304 05:22:13.179303  2116 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0304 05:22:13.179309  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.179319  2116 net.cpp:202] Created Layer relu1 (2)
I0304 05:22:13.179327  2116 net.cpp:574] relu1 <- conv1
I0304 05:22:13.179334  2116 net.cpp:529] relu1 -> conv1 (in-place)
I0304 05:22:13.179344  2116 net.cpp:262] Setting up relu1
I0304 05:22:13.179353  2116 net.cpp:269] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0304 05:22:13.179360  2116 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0304 05:22:13.179368  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.179380  2116 net.cpp:202] Created Layer pool1 (3)
I0304 05:22:13.179388  2116 net.cpp:574] pool1 <- conv1
I0304 05:22:13.179395  2116 net.cpp:544] pool1 -> pool1
I0304 05:22:13.179409  2116 net.cpp:262] Setting up pool1
I0304 05:22:13.179419  2116 net.cpp:269] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0304 05:22:13.179427  2116 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0304 05:22:13.179435  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.179450  2116 net.cpp:202] Created Layer norm1 (4)
I0304 05:22:13.179456  2116 net.cpp:574] norm1 <- pool1
I0304 05:22:13.179468  2116 net.cpp:544] norm1 -> norm1
I0304 05:22:13.179486  2116 net.cpp:262] Setting up norm1
I0304 05:22:13.179494  2116 net.cpp:269] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0304 05:22:13.179502  2116 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0304 05:22:13.179509  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.179523  2116 net.cpp:202] Created Layer conv2 (5)
I0304 05:22:13.179548  2116 net.cpp:574] conv2 <- norm1
I0304 05:22:13.179555  2116 net.cpp:544] conv2 -> conv2
I0304 05:22:13.183326  2116 net.cpp:262] Setting up conv2
I0304 05:22:13.183341  2116 net.cpp:269] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0304 05:22:13.183354  2116 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0304 05:22:13.183362  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.183375  2116 net.cpp:202] Created Layer relu2 (6)
I0304 05:22:13.183382  2116 net.cpp:574] relu2 <- conv2
I0304 05:22:13.183390  2116 net.cpp:529] relu2 -> conv2 (in-place)
I0304 05:22:13.183398  2116 net.cpp:262] Setting up relu2
I0304 05:22:13.183406  2116 net.cpp:269] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0304 05:22:13.183415  2116 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0304 05:22:13.183423  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.183432  2116 net.cpp:202] Created Layer pool2 (7)
I0304 05:22:13.183439  2116 net.cpp:574] pool2 <- conv2
I0304 05:22:13.183446  2116 net.cpp:544] pool2 -> pool2
I0304 05:22:13.183457  2116 net.cpp:262] Setting up pool2
I0304 05:22:13.183465  2116 net.cpp:269] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0304 05:22:13.183473  2116 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0304 05:22:13.183480  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.183506  2116 net.cpp:202] Created Layer norm2 (8)
I0304 05:22:13.183514  2116 net.cpp:574] norm2 <- pool2
I0304 05:22:13.183522  2116 net.cpp:544] norm2 -> norm2
I0304 05:22:13.183533  2116 net.cpp:262] Setting up norm2
I0304 05:22:13.183542  2116 net.cpp:269] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0304 05:22:13.183549  2116 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0304 05:22:13.183557  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.183569  2116 net.cpp:202] Created Layer conv3 (9)
I0304 05:22:13.183576  2116 net.cpp:574] conv3 <- norm2
I0304 05:22:13.183584  2116 net.cpp:544] conv3 -> conv3
I0304 05:22:13.194131  2116 net.cpp:262] Setting up conv3
I0304 05:22:13.194147  2116 net.cpp:269] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0304 05:22:13.194159  2116 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0304 05:22:13.194164  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.194172  2116 net.cpp:202] Created Layer relu3 (10)
I0304 05:22:13.194180  2116 net.cpp:574] relu3 <- conv3
I0304 05:22:13.194190  2116 net.cpp:529] relu3 -> conv3 (in-place)
I0304 05:22:13.194197  2116 net.cpp:262] Setting up relu3
I0304 05:22:13.194205  2116 net.cpp:269] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0304 05:22:13.194212  2116 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0304 05:22:13.194218  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.194234  2116 net.cpp:202] Created Layer conv4 (11)
I0304 05:22:13.194242  2116 net.cpp:574] conv4 <- conv3
I0304 05:22:13.194248  2116 net.cpp:544] conv4 -> conv4
I0304 05:22:13.201884  2116 net.cpp:262] Setting up conv4
I0304 05:22:13.201897  2116 net.cpp:269] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0304 05:22:13.201906  2116 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0304 05:22:13.201912  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.201920  2116 net.cpp:202] Created Layer relu4 (12)
I0304 05:22:13.201926  2116 net.cpp:574] relu4 <- conv4
I0304 05:22:13.201932  2116 net.cpp:529] relu4 -> conv4 (in-place)
I0304 05:22:13.201938  2116 net.cpp:262] Setting up relu4
I0304 05:22:13.201946  2116 net.cpp:269] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0304 05:22:13.201952  2116 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0304 05:22:13.201957  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.201972  2116 net.cpp:202] Created Layer conv5 (13)
I0304 05:22:13.201977  2116 net.cpp:574] conv5 <- conv4
I0304 05:22:13.201982  2116 net.cpp:544] conv5 -> conv5
I0304 05:22:13.206986  2116 net.cpp:262] Setting up conv5
I0304 05:22:13.207000  2116 net.cpp:269] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0304 05:22:13.207012  2116 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0304 05:22:13.207018  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.207026  2116 net.cpp:202] Created Layer relu5 (14)
I0304 05:22:13.207031  2116 net.cpp:574] relu5 <- conv5
I0304 05:22:13.207037  2116 net.cpp:529] relu5 -> conv5 (in-place)
I0304 05:22:13.207044  2116 net.cpp:262] Setting up relu5
I0304 05:22:13.207054  2116 net.cpp:269] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0304 05:22:13.207062  2116 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0304 05:22:13.207069  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.207079  2116 net.cpp:202] Created Layer pool5 (15)
I0304 05:22:13.207085  2116 net.cpp:574] pool5 <- conv5
I0304 05:22:13.207095  2116 net.cpp:544] pool5 -> pool5
I0304 05:22:13.207105  2116 net.cpp:262] Setting up pool5
I0304 05:22:13.207114  2116 net.cpp:269] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0304 05:22:13.207135  2116 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0304 05:22:13.207144  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.207157  2116 net.cpp:202] Created Layer fc6 (16)
I0304 05:22:13.207165  2116 net.cpp:574] fc6 <- pool5
I0304 05:22:13.207172  2116 net.cpp:544] fc6 -> fc6
I0304 05:22:13.631196  2116 net.cpp:262] Setting up fc6
I0304 05:22:13.631253  2116 net.cpp:269] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0304 05:22:13.631271  2116 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0304 05:22:13.631284  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.631309  2116 net.cpp:202] Created Layer relu6 (17)
I0304 05:22:13.631321  2116 net.cpp:574] relu6 <- fc6
I0304 05:22:13.631331  2116 net.cpp:529] relu6 -> fc6 (in-place)
I0304 05:22:13.631342  2116 net.cpp:262] Setting up relu6
I0304 05:22:13.631351  2116 net.cpp:269] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0304 05:22:13.631359  2116 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0304 05:22:13.631376  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.631391  2116 net.cpp:202] Created Layer drop6 (18)
I0304 05:22:13.631397  2116 net.cpp:574] drop6 <- fc6
I0304 05:22:13.631403  2116 net.cpp:529] drop6 -> fc6 (in-place)
I0304 05:22:13.631413  2116 net.cpp:262] Setting up drop6
I0304 05:22:13.631420  2116 net.cpp:269] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0304 05:22:13.631428  2116 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0304 05:22:13.631434  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.631449  2116 net.cpp:202] Created Layer fc7 (19)
I0304 05:22:13.631456  2116 net.cpp:574] fc7 <- fc6
I0304 05:22:13.631462  2116 net.cpp:544] fc7 -> fc7
I0304 05:22:13.795542  2116 net.cpp:262] Setting up fc7
I0304 05:22:13.795589  2116 net.cpp:269] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0304 05:22:13.795608  2116 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0304 05:22:13.795619  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.795634  2116 net.cpp:202] Created Layer relu7 (20)
I0304 05:22:13.795642  2116 net.cpp:574] relu7 <- fc7
I0304 05:22:13.795652  2116 net.cpp:529] relu7 -> fc7 (in-place)
I0304 05:22:13.795662  2116 net.cpp:262] Setting up relu7
I0304 05:22:13.795670  2116 net.cpp:269] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0304 05:22:13.795676  2116 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0304 05:22:13.795682  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.795696  2116 net.cpp:202] Created Layer drop7 (21)
I0304 05:22:13.795703  2116 net.cpp:574] drop7 <- fc7
I0304 05:22:13.795709  2116 net.cpp:529] drop7 -> fc7 (in-place)
I0304 05:22:13.795719  2116 net.cpp:262] Setting up drop7
I0304 05:22:13.795727  2116 net.cpp:269] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0304 05:22:13.795732  2116 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0304 05:22:13.795739  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.795750  2116 net.cpp:202] Created Layer fc8 (22)
I0304 05:22:13.795756  2116 net.cpp:574] fc8 <- fc7
I0304 05:22:13.795768  2116 net.cpp:544] fc8 -> fc8
I0304 05:22:13.835769  2116 net.cpp:262] Setting up fc8
I0304 05:22:13.835816  2116 net.cpp:269] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0304 05:22:13.835834  2116 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0304 05:22:13.835844  2116 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0304 05:22:13.835870  2116 net.cpp:202] Created Layer prob (23)
I0304 05:22:13.835923  2116 net.cpp:574] prob <- fc8
I0304 05:22:13.835934  2116 net.cpp:544] prob -> prob
I0304 05:22:13.835954  2116 net.cpp:262] Setting up prob
I0304 05:22:13.835963  2116 net.cpp:269] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0304 05:22:13.835969  2116 net.cpp:340] prob does not need backward computation.
I0304 05:22:13.835976  2116 net.cpp:340] fc8 does not need backward computation.
I0304 05:22:13.835983  2116 net.cpp:340] drop7 does not need backward computation.
I0304 05:22:13.835994  2116 net.cpp:340] relu7 does not need backward computation.
I0304 05:22:13.836000  2116 net.cpp:340] fc7 does not need backward computation.
I0304 05:22:13.836006  2116 net.cpp:340] drop6 does not need backward computation.
I0304 05:22:13.836012  2116 net.cpp:340] relu6 does not need backward computation.
I0304 05:22:13.836017  2116 net.cpp:340] fc6 does not need backward computation.
I0304 05:22:13.836024  2116 net.cpp:340] pool5 does not need backward computation.
I0304 05:22:13.836030  2116 net.cpp:340] relu5 does not need backward computation.
I0304 05:22:13.836035  2116 net.cpp:340] conv5 does not need backward computation.
I0304 05:22:13.836041  2116 net.cpp:340] relu4 does not need backward computation.
I0304 05:22:13.836047  2116 net.cpp:340] conv4 does not need backward computation.
I0304 05:22:13.836053  2116 net.cpp:340] relu3 does not need backward computation.
I0304 05:22:13.836060  2116 net.cpp:340] conv3 does not need backward computation.
I0304 05:22:13.836066  2116 net.cpp:340] norm2 does not need backward computation.
I0304 05:22:13.836074  2116 net.cpp:340] pool2 does not need backward computation.
I0304 05:22:13.836081  2116 net.cpp:340] relu2 does not need backward computation.
I0304 05:22:13.836086  2116 net.cpp:340] conv2 does not need backward computation.
I0304 05:22:13.836093  2116 net.cpp:340] norm1 does not need backward computation.
I0304 05:22:13.836099  2116 net.cpp:340] pool1 does not need backward computation.
I0304 05:22:13.836105  2116 net.cpp:340] relu1 does not need backward computation.
I0304 05:22:13.836112  2116 net.cpp:340] conv1 does not need backward computation.
I0304 05:22:13.836117  2116 net.cpp:340] data does not need backward computation.
I0304 05:22:13.836122  2116 net.cpp:382] This network produces output prob
I0304 05:22:13.836149  2116 net.cpp:405] Top memory (TEST) required for data: 68681400 diff: 68681400
I0304 05:22:13.836156  2116 net.cpp:408] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0304 05:22:13.836163  2116 net.cpp:411] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0304 05:22:13.836167  2116 net.cpp:414] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0304 05:22:13.836172  2116 net.cpp:417] Parameters shared memory (TEST) by data: 0 diff: 0
I0304 05:22:13.836179  2116 net.cpp:423] Network initialization done.
I0304 05:22:14.083603  2116 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0304 05:22:14.083648  2116 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0304 05:22:14.083652  2116 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0304 05:22:14.083684  2116 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0304 05:22:14.391177  2116 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0304 05:22:14.396512  2116 net.cpp:1141] Copying source layer data Type:Data #blobs=0
I0304 05:22:14.396528  2116 net.cpp:1141] Copying source layer conv1 Type:Convolution #blobs=2
I0304 05:22:14.396953  2116 net.cpp:1141] Copying source layer relu1 Type:ReLU #blobs=0
I0304 05:22:14.396961  2116 net.cpp:1141] Copying source layer pool1 Type:Pooling #blobs=0
I0304 05:22:14.397006  2116 net.cpp:1141] Copying source layer norm1 Type:LRN #blobs=0
I0304 05:22:14.397012  2116 net.cpp:1141] Copying source layer conv2 Type:Convolution #blobs=2
I0304 05:22:14.399847  2116 net.cpp:1141] Copying source layer relu2 Type:ReLU #blobs=0
I0304 05:22:14.399853  2116 net.cpp:1141] Copying source layer pool2 Type:Pooling #blobs=0
I0304 05:22:14.399857  2116 net.cpp:1141] Copying source layer norm2 Type:LRN #blobs=0
I0304 05:22:14.399860  2116 net.cpp:1141] Copying source layer conv3 Type:Convolution #blobs=2
I0304 05:22:14.407977  2116 net.cpp:1141] Copying source layer relu3 Type:ReLU #blobs=0
I0304 05:22:14.407989  2116 net.cpp:1141] Copying source layer conv4 Type:Convolution #blobs=2
I0304 05:22:14.414122  2116 net.cpp:1141] Copying source layer relu4 Type:ReLU #blobs=0
I0304 05:22:14.414132  2116 net.cpp:1141] Copying source layer conv5 Type:Convolution #blobs=2
I0304 05:22:14.418232  2116 net.cpp:1141] Copying source layer relu5 Type:ReLU #blobs=0
I0304 05:22:14.418241  2116 net.cpp:1141] Copying source layer pool5 Type:Pooling #blobs=0
I0304 05:22:14.418244  2116 net.cpp:1141] Copying source layer fc6 Type:InnerProduct #blobs=2
I0304 05:22:14.764410  2116 net.cpp:1141] Copying source layer relu6 Type:ReLU #blobs=0
I0304 05:22:14.764461  2116 net.cpp:1141] Copying source layer drop6 Type:Dropout #blobs=0
I0304 05:22:14.764466  2116 net.cpp:1141] Copying source layer fc7 Type:InnerProduct #blobs=2
I0304 05:22:14.928287  2116 net.cpp:1141] Copying source layer relu7 Type:ReLU #blobs=0
I0304 05:22:14.928320  2116 net.cpp:1141] Copying source layer drop7 Type:Dropout #blobs=0
I0304 05:22:14.928324  2116 net.cpp:1141] Copying source layer fc8 Type:InnerProduct #blobs=2
I0304 05:22:14.970305  2116 net.cpp:1133] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/airplanes/image_0739.jpg
Classifying 1 inputs.
Done in 0.60 s.
Saving results into ../result.npy
ubuntu@ubuntu:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02690373 airliner | 98.2%
#2 | n02692877 airship, dirigible |  0.4%
#3 | n03773504 missile |  0.3%
ubuntu@ubuntu:~/caffe$