chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/bonsai/image_0051.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0311 14:09:51.337347  5613 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0311 14:09:51.412353  5613 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0311 14:09:51.412508  5613 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0311 14:09:51.412515  5613 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0311 14:09:51.414057  5613 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"
}
I0311 14:09:51.414220  5613 net.cpp:116] Using FLOAT as default forward math type
I0311 14:09:51.414227  5613 net.cpp:122] Using FLOAT as default backward math type
I0311 14:09:51.414232  5613 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0311 14:09:51.414238  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414249  5613 net.cpp:205] Created Layer data (0)
I0311 14:09:51.414256  5613 net.cpp:547] data -> data
I0311 14:09:51.414276  5613 net.cpp:265] Setting up data
I0311 14:09:51.414285  5613 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0311 14:09:51.414291  5613 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0311 14:09:51.414297  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414319  5613 net.cpp:205] Created Layer conv1 (1)
I0311 14:09:51.414324  5613 net.cpp:577] conv1 <- data
I0311 14:09:51.414333  5613 net.cpp:547] conv1 -> conv1
I0311 14:09:51.414605  5613 net.cpp:265] Setting up conv1
I0311 14:09:51.414613  5613 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0311 14:09:51.414626  5613 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0311 14:09:51.414630  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414636  5613 net.cpp:205] Created Layer relu1 (2)
I0311 14:09:51.414640  5613 net.cpp:577] relu1 <- conv1
I0311 14:09:51.414644  5613 net.cpp:532] relu1 -> conv1 (in-place)
I0311 14:09:51.414650  5613 net.cpp:265] Setting up relu1
I0311 14:09:51.414654  5613 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0311 14:09:51.414659  5613 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0311 14:09:51.414662  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414669  5613 net.cpp:205] Created Layer pool1 (3)
I0311 14:09:51.414674  5613 net.cpp:577] pool1 <- conv1
I0311 14:09:51.414678  5613 net.cpp:547] pool1 -> pool1
I0311 14:09:51.414688  5613 net.cpp:265] Setting up pool1
I0311 14:09:51.414693  5613 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0311 14:09:51.414697  5613 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0311 14:09:51.414702  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414710  5613 net.cpp:205] Created Layer norm1 (4)
I0311 14:09:51.414713  5613 net.cpp:577] norm1 <- pool1
I0311 14:09:51.414717  5613 net.cpp:547] norm1 -> norm1
I0311 14:09:51.414726  5613 net.cpp:265] Setting up norm1
I0311 14:09:51.414731  5613 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0311 14:09:51.414734  5613 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0311 14:09:51.414738  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.414746  5613 net.cpp:205] Created Layer conv2 (5)
I0311 14:09:51.414749  5613 net.cpp:577] conv2 <- norm1
I0311 14:09:51.414753  5613 net.cpp:547] conv2 -> conv2
I0311 14:09:51.417155  5613 net.cpp:265] Setting up conv2
I0311 14:09:51.417162  5613 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0311 14:09:51.417171  5613 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0311 14:09:51.417174  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.417179  5613 net.cpp:205] Created Layer relu2 (6)
I0311 14:09:51.417183  5613 net.cpp:577] relu2 <- conv2
I0311 14:09:51.417188  5613 net.cpp:532] relu2 -> conv2 (in-place)
I0311 14:09:51.417193  5613 net.cpp:265] Setting up relu2
I0311 14:09:51.417199  5613 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0311 14:09:51.417203  5613 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0311 14:09:51.417207  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.417213  5613 net.cpp:205] Created Layer pool2 (7)
I0311 14:09:51.417217  5613 net.cpp:577] pool2 <- conv2
I0311 14:09:51.417222  5613 net.cpp:547] pool2 -> pool2
I0311 14:09:51.417227  5613 net.cpp:265] Setting up pool2
I0311 14:09:51.417232  5613 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0311 14:09:51.417235  5613 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0311 14:09:51.417238  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.417248  5613 net.cpp:205] Created Layer norm2 (8)
I0311 14:09:51.417253  5613 net.cpp:577] norm2 <- pool2
I0311 14:09:51.417256  5613 net.cpp:547] norm2 -> norm2
I0311 14:09:51.417261  5613 net.cpp:265] Setting up norm2
I0311 14:09:51.417274  5613 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0311 14:09:51.417279  5613 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0311 14:09:51.417282  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.417289  5613 net.cpp:205] Created Layer conv3 (9)
I0311 14:09:51.417292  5613 net.cpp:577] conv3 <- norm2
I0311 14:09:51.417297  5613 net.cpp:547] conv3 -> conv3
I0311 14:09:51.423861  5613 net.cpp:265] Setting up conv3
I0311 14:09:51.423871  5613 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0311 14:09:51.423877  5613 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0311 14:09:51.423879  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.423883  5613 net.cpp:205] Created Layer relu3 (10)
I0311 14:09:51.423887  5613 net.cpp:577] relu3 <- conv3
I0311 14:09:51.423888  5613 net.cpp:532] relu3 -> conv3 (in-place)
I0311 14:09:51.423894  5613 net.cpp:265] Setting up relu3
I0311 14:09:51.423898  5613 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0311 14:09:51.423903  5613 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0311 14:09:51.423907  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.423914  5613 net.cpp:205] Created Layer conv4 (11)
I0311 14:09:51.423918  5613 net.cpp:577] conv4 <- conv3
I0311 14:09:51.423923  5613 net.cpp:547] conv4 -> conv4
I0311 14:09:51.428635  5613 net.cpp:265] Setting up conv4
I0311 14:09:51.428647  5613 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0311 14:09:51.428655  5613 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0311 14:09:51.428659  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.428665  5613 net.cpp:205] Created Layer relu4 (12)
I0311 14:09:51.428669  5613 net.cpp:577] relu4 <- conv4
I0311 14:09:51.428674  5613 net.cpp:532] relu4 -> conv4 (in-place)
I0311 14:09:51.428678  5613 net.cpp:265] Setting up relu4
I0311 14:09:51.428684  5613 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0311 14:09:51.428689  5613 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0311 14:09:51.428692  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.428701  5613 net.cpp:205] Created Layer conv5 (13)
I0311 14:09:51.428705  5613 net.cpp:577] conv5 <- conv4
I0311 14:09:51.428709  5613 net.cpp:547] conv5 -> conv5
I0311 14:09:51.432189  5613 net.cpp:265] Setting up conv5
I0311 14:09:51.432199  5613 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0311 14:09:51.432207  5613 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0311 14:09:51.432211  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.432217  5613 net.cpp:205] Created Layer relu5 (14)
I0311 14:09:51.432221  5613 net.cpp:577] relu5 <- conv5
I0311 14:09:51.432225  5613 net.cpp:532] relu5 -> conv5 (in-place)
I0311 14:09:51.432229  5613 net.cpp:265] Setting up relu5
I0311 14:09:51.432236  5613 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0311 14:09:51.432241  5613 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0311 14:09:51.432245  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.432253  5613 net.cpp:205] Created Layer pool5 (15)
I0311 14:09:51.432257  5613 net.cpp:577] pool5 <- conv5
I0311 14:09:51.432261  5613 net.cpp:547] pool5 -> pool5
I0311 14:09:51.432269  5613 net.cpp:265] Setting up pool5
I0311 14:09:51.432274  5613 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0311 14:09:51.432278  5613 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0311 14:09:51.432282  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.432319  5613 net.cpp:205] Created Layer fc6 (16)
I0311 14:09:51.432324  5613 net.cpp:577] fc6 <- pool5
I0311 14:09:51.432329  5613 net.cpp:547] fc6 -> fc6
I0311 14:09:51.729864  5613 net.cpp:265] Setting up fc6
I0311 14:09:51.729914  5613 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0311 14:09:51.729939  5613 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0311 14:09:51.729961  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.729976  5613 net.cpp:205] Created Layer relu6 (17)
I0311 14:09:51.729986  5613 net.cpp:577] relu6 <- fc6
I0311 14:09:51.729993  5613 net.cpp:532] relu6 -> fc6 (in-place)
I0311 14:09:51.730001  5613 net.cpp:265] Setting up relu6
I0311 14:09:51.730006  5613 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0311 14:09:51.730010  5613 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0311 14:09:51.730016  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.730027  5613 net.cpp:205] Created Layer drop6 (18)
I0311 14:09:51.730032  5613 net.cpp:577] drop6 <- fc6
I0311 14:09:51.730037  5613 net.cpp:532] drop6 -> fc6 (in-place)
I0311 14:09:51.730043  5613 net.cpp:265] Setting up drop6
I0311 14:09:51.730047  5613 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0311 14:09:51.730051  5613 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0311 14:09:51.730056  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.730062  5613 net.cpp:205] Created Layer fc7 (19)
I0311 14:09:51.730067  5613 net.cpp:577] fc7 <- fc6
I0311 14:09:51.730070  5613 net.cpp:547] fc7 -> fc7
I0311 14:09:51.856868  5613 net.cpp:265] Setting up fc7
I0311 14:09:51.856927  5613 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0311 14:09:51.856945  5613 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0311 14:09:51.856957  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.856972  5613 net.cpp:205] Created Layer relu7 (20)
I0311 14:09:51.856977  5613 net.cpp:577] relu7 <- fc7
I0311 14:09:51.856986  5613 net.cpp:532] relu7 -> fc7 (in-place)
I0311 14:09:51.856993  5613 net.cpp:265] Setting up relu7
I0311 14:09:51.856997  5613 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0311 14:09:51.857002  5613 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0311 14:09:51.857009  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.857023  5613 net.cpp:205] Created Layer drop7 (21)
I0311 14:09:51.857025  5613 net.cpp:577] drop7 <- fc7
I0311 14:09:51.857029  5613 net.cpp:532] drop7 -> fc7 (in-place)
I0311 14:09:51.857035  5613 net.cpp:265] Setting up drop7
I0311 14:09:51.857040  5613 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0311 14:09:51.857043  5613 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0311 14:09:51.857049  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.857056  5613 net.cpp:205] Created Layer fc8 (22)
I0311 14:09:51.857059  5613 net.cpp:577] fc8 <- fc7
I0311 14:09:51.857064  5613 net.cpp:547] fc8 -> fc8
I0311 14:09:51.886523  5613 net.cpp:265] Setting up fc8
I0311 14:09:51.886572  5613 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0311 14:09:51.886620  5613 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0311 14:09:51.886631  5613 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0311 14:09:51.886651  5613 net.cpp:205] Created Layer prob (23)
I0311 14:09:51.886658  5613 net.cpp:577] prob <- fc8
I0311 14:09:51.886665  5613 net.cpp:547] prob -> prob
I0311 14:09:51.886682  5613 net.cpp:265] Setting up prob
I0311 14:09:51.886687  5613 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0311 14:09:51.886720  5613 net.cpp:343] prob does not need backward computation.
I0311 14:09:51.886725  5613 net.cpp:343] fc8 does not need backward computation.
I0311 14:09:51.886729  5613 net.cpp:343] drop7 does not need backward computation.
I0311 14:09:51.886734  5613 net.cpp:343] relu7 does not need backward computation.
I0311 14:09:51.886737  5613 net.cpp:343] fc7 does not need backward computation.
I0311 14:09:51.886741  5613 net.cpp:343] drop6 does not need backward computation.
I0311 14:09:51.886747  5613 net.cpp:343] relu6 does not need backward computation.
I0311 14:09:51.886750  5613 net.cpp:343] fc6 does not need backward computation.
I0311 14:09:51.886755  5613 net.cpp:343] pool5 does not need backward computation.
I0311 14:09:51.886759  5613 net.cpp:343] relu5 does not need backward computation.
I0311 14:09:51.886765  5613 net.cpp:343] conv5 does not need backward computation.
I0311 14:09:51.886770  5613 net.cpp:343] relu4 does not need backward computation.
I0311 14:09:51.886775  5613 net.cpp:343] conv4 does not need backward computation.
I0311 14:09:51.886780  5613 net.cpp:343] relu3 does not need backward computation.
I0311 14:09:51.886783  5613 net.cpp:343] conv3 does not need backward computation.
I0311 14:09:51.886788  5613 net.cpp:343] norm2 does not need backward computation.
I0311 14:09:51.886792  5613 net.cpp:343] pool2 does not need backward computation.
I0311 14:09:51.886797  5613 net.cpp:343] relu2 does not need backward computation.
I0311 14:09:51.886802  5613 net.cpp:343] conv2 does not need backward computation.
I0311 14:09:51.886808  5613 net.cpp:343] norm1 does not need backward computation.
I0311 14:09:51.886814  5613 net.cpp:343] pool1 does not need backward computation.
I0311 14:09:51.886819  5613 net.cpp:343] relu1 does not need backward computation.
I0311 14:09:51.886824  5613 net.cpp:343] conv1 does not need backward computation.
I0311 14:09:51.886828  5613 net.cpp:343] data does not need backward computation.
I0311 14:09:51.886832  5613 net.cpp:385] This network produces output prob
I0311 14:09:51.886855  5613 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0311 14:09:51.886860  5613 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0311 14:09:51.886864  5613 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0311 14:09:51.886868  5613 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0311 14:09:51.886871  5613 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0311 14:09:51.886875  5613 net.cpp:426] Network initialization done.
I0311 14:09:52.014905  5613 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0311 14:09:52.014951  5613 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0311 14:09:52.014959  5613 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0311 14:09:52.014986  5613 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0311 14:09:52.215567  5613 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0311 14:09:52.220445  5613 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0311 14:09:52.220456  5613 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0311 14:09:52.220908  5613 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0311 14:09:52.220913  5613 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0311 14:09:52.220916  5613 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0311 14:09:52.220921  5613 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0311 14:09:52.224565  5613 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0311 14:09:52.224601  5613 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0311 14:09:52.224606  5613 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0311 14:09:52.224611  5613 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0311 14:09:52.234884  5613 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0311 14:09:52.234895  5613 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0311 14:09:52.242673  5613 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0311 14:09:52.242681  5613 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0311 14:09:52.247848  5613 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0311 14:09:52.247854  5613 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0311 14:09:52.247858  5613 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0311 14:09:52.684069  5613 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0311 14:09:52.684108  5613 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0311 14:09:52.684113  5613 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0311 14:09:52.869341  5613 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0311 14:09:52.869381  5613 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0311 14:09:52.869385  5613 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0311 14:09:52.908428  5613 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/bonsai/image_0051.jpg
Classifying 1 inputs.
Done in 0.64 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n03991062 pot, flowerpot | 99.8%
#2 | n12768682 buckeye, horse chestnut, conker |  0.0%
#3 | n04522168 vase |  0.0%
chibi@1604:~/caffe$