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
I0608 18:49:35.471896  3312 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0608 18:49:35.591368  3312 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0608 18:49:35.591516  3312 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0608 18:49:35.591526  3312 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0608 18:49:35.593386  3312 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"
}
I0608 18:49:35.593595  3312 net.cpp:116] Using FLOAT as default forward math type
I0608 18:49:35.593605  3312 net.cpp:122] Using FLOAT as default backward math type
I0608 18:49:35.593611  3312 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0608 18:49:35.593616  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.593624  3312 net.cpp:205] Created Layer data (0)
I0608 18:49:35.593629  3312 net.cpp:547] data -> data
I0608 18:49:35.593650  3312 net.cpp:265] Setting up data
I0608 18:49:35.593658  3312 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0608 18:49:35.593665  3312 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0608 18:49:35.593670  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.593693  3312 net.cpp:205] Created Layer conv1 (1)
I0608 18:49:35.593699  3312 net.cpp:577] conv1 <- data
I0608 18:49:35.593705  3312 net.cpp:547] conv1 -> conv1
I0608 18:49:35.594023  3312 net.cpp:265] Setting up conv1
I0608 18:49:35.594033  3312 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0608 18:49:35.594043  3312 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0608 18:49:35.594048  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.594055  3312 net.cpp:205] Created Layer relu1 (2)
I0608 18:49:35.594060  3312 net.cpp:577] relu1 <- conv1
I0608 18:49:35.594065  3312 net.cpp:532] relu1 -> conv1 (in-place)
I0608 18:49:35.594071  3312 net.cpp:265] Setting up relu1
I0608 18:49:35.594076  3312 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0608 18:49:35.594081  3312 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0608 18:49:35.594086  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.594096  3312 net.cpp:205] Created Layer pool1 (3)
I0608 18:49:35.594101  3312 net.cpp:577] pool1 <- conv1
I0608 18:49:35.594106  3312 net.cpp:547] pool1 -> pool1
I0608 18:49:35.594120  3312 net.cpp:265] Setting up pool1
I0608 18:49:35.594125  3312 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0608 18:49:35.594130  3312 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0608 18:49:35.594135  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.594143  3312 net.cpp:205] Created Layer norm1 (4)
I0608 18:49:35.594148  3312 net.cpp:577] norm1 <- pool1
I0608 18:49:35.594153  3312 net.cpp:547] norm1 -> norm1
I0608 18:49:35.594161  3312 net.cpp:265] Setting up norm1
I0608 18:49:35.594166  3312 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0608 18:49:35.594171  3312 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0608 18:49:35.594175  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.594183  3312 net.cpp:205] Created Layer conv2 (5)
I0608 18:49:35.594188  3312 net.cpp:577] conv2 <- norm1
I0608 18:49:35.594193  3312 net.cpp:547] conv2 -> conv2
I0608 18:49:35.596616  3312 net.cpp:265] Setting up conv2
I0608 18:49:35.596624  3312 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0608 18:49:35.596633  3312 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0608 18:49:35.596638  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.596644  3312 net.cpp:205] Created Layer relu2 (6)
I0608 18:49:35.596649  3312 net.cpp:577] relu2 <- conv2
I0608 18:49:35.596654  3312 net.cpp:532] relu2 -> conv2 (in-place)
I0608 18:49:35.596659  3312 net.cpp:265] Setting up relu2
I0608 18:49:35.596665  3312 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0608 18:49:35.596670  3312 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0608 18:49:35.596674  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.596681  3312 net.cpp:205] Created Layer pool2 (7)
I0608 18:49:35.596686  3312 net.cpp:577] pool2 <- conv2
I0608 18:49:35.596691  3312 net.cpp:547] pool2 -> pool2
I0608 18:49:35.596698  3312 net.cpp:265] Setting up pool2
I0608 18:49:35.596704  3312 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0608 18:49:35.596709  3312 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0608 18:49:35.596714  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.596722  3312 net.cpp:205] Created Layer norm2 (8)
I0608 18:49:35.596727  3312 net.cpp:577] norm2 <- pool2
I0608 18:49:35.596732  3312 net.cpp:547] norm2 -> norm2
I0608 18:49:35.596740  3312 net.cpp:265] Setting up norm2
I0608 18:49:35.596753  3312 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0608 18:49:35.596758  3312 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0608 18:49:35.596763  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.596771  3312 net.cpp:205] Created Layer conv3 (9)
I0608 18:49:35.596776  3312 net.cpp:577] conv3 <- norm2
I0608 18:49:35.596781  3312 net.cpp:547] conv3 -> conv3
I0608 18:49:35.603420  3312 net.cpp:265] Setting up conv3
I0608 18:49:35.603428  3312 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0608 18:49:35.603448  3312 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0608 18:49:35.603453  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.603459  3312 net.cpp:205] Created Layer relu3 (10)
I0608 18:49:35.603464  3312 net.cpp:577] relu3 <- conv3
I0608 18:49:35.603469  3312 net.cpp:532] relu3 -> conv3 (in-place)
I0608 18:49:35.603476  3312 net.cpp:265] Setting up relu3
I0608 18:49:35.603480  3312 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0608 18:49:35.603485  3312 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0608 18:49:35.603489  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.603498  3312 net.cpp:205] Created Layer conv4 (11)
I0608 18:49:35.603502  3312 net.cpp:577] conv4 <- conv3
I0608 18:49:35.603507  3312 net.cpp:547] conv4 -> conv4
I0608 18:49:35.608719  3312 net.cpp:265] Setting up conv4
I0608 18:49:35.608729  3312 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0608 18:49:35.608736  3312 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0608 18:49:35.608741  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.608747  3312 net.cpp:205] Created Layer relu4 (12)
I0608 18:49:35.608752  3312 net.cpp:577] relu4 <- conv4
I0608 18:49:35.608757  3312 net.cpp:532] relu4 -> conv4 (in-place)
I0608 18:49:35.608762  3312 net.cpp:265] Setting up relu4
I0608 18:49:35.608769  3312 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0608 18:49:35.608774  3312 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0608 18:49:35.608779  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.608790  3312 net.cpp:205] Created Layer conv5 (13)
I0608 18:49:35.608795  3312 net.cpp:577] conv5 <- conv4
I0608 18:49:35.608800  3312 net.cpp:547] conv5 -> conv5
I0608 18:49:35.612280  3312 net.cpp:265] Setting up conv5
I0608 18:49:35.612290  3312 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0608 18:49:35.612298  3312 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0608 18:49:35.612303  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.612311  3312 net.cpp:205] Created Layer relu5 (14)
I0608 18:49:35.612316  3312 net.cpp:577] relu5 <- conv5
I0608 18:49:35.612321  3312 net.cpp:532] relu5 -> conv5 (in-place)
I0608 18:49:35.612327  3312 net.cpp:265] Setting up relu5
I0608 18:49:35.612332  3312 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0608 18:49:35.612337  3312 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0608 18:49:35.612341  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.612349  3312 net.cpp:205] Created Layer pool5 (15)
I0608 18:49:35.612354  3312 net.cpp:577] pool5 <- conv5
I0608 18:49:35.612360  3312 net.cpp:547] pool5 -> pool5
I0608 18:49:35.612367  3312 net.cpp:265] Setting up pool5
I0608 18:49:35.612373  3312 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0608 18:49:35.612377  3312 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0608 18:49:35.612382  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.612401  3312 net.cpp:205] Created Layer fc6 (16)
I0608 18:49:35.612406  3312 net.cpp:577] fc6 <- pool5
I0608 18:49:35.612411  3312 net.cpp:547] fc6 -> fc6
I0608 18:49:35.892338  3312 net.cpp:265] Setting up fc6
I0608 18:49:35.892362  3312 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0608 18:49:35.892386  3312 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0608 18:49:35.892395  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.892407  3312 net.cpp:205] Created Layer relu6 (17)
I0608 18:49:35.892413  3312 net.cpp:577] relu6 <- fc6
I0608 18:49:35.892421  3312 net.cpp:532] relu6 -> fc6 (in-place)
I0608 18:49:35.892431  3312 net.cpp:265] Setting up relu6
I0608 18:49:35.892436  3312 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0608 18:49:35.892442  3312 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0608 18:49:35.892448  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.892460  3312 net.cpp:205] Created Layer drop6 (18)
I0608 18:49:35.892467  3312 net.cpp:577] drop6 <- fc6
I0608 18:49:35.892472  3312 net.cpp:532] drop6 -> fc6 (in-place)
I0608 18:49:35.892484  3312 net.cpp:265] Setting up drop6
I0608 18:49:35.892491  3312 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0608 18:49:35.892498  3312 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0608 18:49:35.892503  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:35.892513  3312 net.cpp:205] Created Layer fc7 (19)
I0608 18:49:35.892518  3312 net.cpp:577] fc7 <- fc6
I0608 18:49:35.892524  3312 net.cpp:547] fc7 -> fc7
I0608 18:49:36.016716  3312 net.cpp:265] Setting up fc7
I0608 18:49:36.016744  3312 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0608 18:49:36.016767  3312 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0608 18:49:36.016772  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:36.016782  3312 net.cpp:205] Created Layer relu7 (20)
I0608 18:49:36.016788  3312 net.cpp:577] relu7 <- fc7
I0608 18:49:36.016794  3312 net.cpp:532] relu7 -> fc7 (in-place)
I0608 18:49:36.016803  3312 net.cpp:265] Setting up relu7
I0608 18:49:36.016808  3312 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0608 18:49:36.016813  3312 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0608 18:49:36.016819  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:36.016825  3312 net.cpp:205] Created Layer drop7 (21)
I0608 18:49:36.016830  3312 net.cpp:577] drop7 <- fc7
I0608 18:49:36.016835  3312 net.cpp:532] drop7 -> fc7 (in-place)
I0608 18:49:36.016841  3312 net.cpp:265] Setting up drop7
I0608 18:49:36.016846  3312 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0608 18:49:36.016851  3312 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0608 18:49:36.016856  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:36.016863  3312 net.cpp:205] Created Layer fc8 (22)
I0608 18:49:36.016867  3312 net.cpp:577] fc8 <- fc7
I0608 18:49:36.016872  3312 net.cpp:547] fc8 -> fc8
I0608 18:49:36.047143  3312 net.cpp:265] Setting up fc8
I0608 18:49:36.047153  3312 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0608 18:49:36.047160  3312 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0608 18:49:36.047176  3312 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0608 18:49:36.047190  3312 net.cpp:205] Created Layer prob (23)
I0608 18:49:36.047195  3312 net.cpp:577] prob <- fc8
I0608 18:49:36.047201  3312 net.cpp:547] prob -> prob
I0608 18:49:36.047212  3312 net.cpp:265] Setting up prob
I0608 18:49:36.047219  3312 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0608 18:49:36.047241  3312 net.cpp:343] prob does not need backward computation.
I0608 18:49:36.047247  3312 net.cpp:343] fc8 does not need backward computation.
I0608 18:49:36.047252  3312 net.cpp:343] drop7 does not need backward computation.
I0608 18:49:36.047256  3312 net.cpp:343] relu7 does not need backward computation.
I0608 18:49:36.047260  3312 net.cpp:343] fc7 does not need backward computation.
I0608 18:49:36.047266  3312 net.cpp:343] drop6 does not need backward computation.
I0608 18:49:36.047271  3312 net.cpp:343] relu6 does not need backward computation.
I0608 18:49:36.047276  3312 net.cpp:343] fc6 does not need backward computation.
I0608 18:49:36.047279  3312 net.cpp:343] pool5 does not need backward computation.
I0608 18:49:36.047284  3312 net.cpp:343] relu5 does not need backward computation.
I0608 18:49:36.047289  3312 net.cpp:343] conv5 does not need backward computation.
I0608 18:49:36.047296  3312 net.cpp:343] relu4 does not need backward computation.
I0608 18:49:36.047300  3312 net.cpp:343] conv4 does not need backward computation.
I0608 18:49:36.047305  3312 net.cpp:343] relu3 does not need backward computation.
I0608 18:49:36.047310  3312 net.cpp:343] conv3 does not need backward computation.
I0608 18:49:36.047315  3312 net.cpp:343] norm2 does not need backward computation.
I0608 18:49:36.047319  3312 net.cpp:343] pool2 does not need backward computation.
I0608 18:49:36.047325  3312 net.cpp:343] relu2 does not need backward computation.
I0608 18:49:36.047329  3312 net.cpp:343] conv2 does not need backward computation.
I0608 18:49:36.047334  3312 net.cpp:343] norm1 does not need backward computation.
I0608 18:49:36.047339  3312 net.cpp:343] pool1 does not need backward computation.
I0608 18:49:36.047343  3312 net.cpp:343] relu1 does not need backward computation.
I0608 18:49:36.047348  3312 net.cpp:343] conv1 does not need backward computation.
I0608 18:49:36.047353  3312 net.cpp:343] data does not need backward computation.
I0608 18:49:36.047358  3312 net.cpp:385] This network produces output prob
I0608 18:49:36.047376  3312 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0608 18:49:36.047382  3312 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0608 18:49:36.047386  3312 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0608 18:49:36.047391  3312 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0608 18:49:36.047395  3312 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0608 18:49:36.047400  3312 net.cpp:426] Network initialization done.
I0608 18:49:36.190554  3312 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0608 18:49:36.190582  3312 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0608 18:49:36.190585  3312 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0608 18:49:36.190611  3312 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0608 18:49:36.433580  3312 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0608 18:49:36.438941  3312 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0608 18:49:36.438951  3312 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0608 18:49:36.439294  3312 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0608 18:49:36.439301  3312 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0608 18:49:36.439304  3312 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0608 18:49:36.439307  3312 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0608 18:49:36.442034  3312 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0608 18:49:36.442059  3312 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0608 18:49:36.442075  3312 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0608 18:49:36.442077  3312 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0608 18:49:36.449762  3312 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0608 18:49:36.449769  3312 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0608 18:49:36.455557  3312 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0608 18:49:36.455564  3312 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0608 18:49:36.459434  3312 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0608 18:49:36.459440  3312 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0608 18:49:36.459455  3312 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0608 18:49:36.787428  3312 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0608 18:49:36.787449  3312 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0608 18:49:36.787465  3312 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0608 18:49:36.932309  3312 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0608 18:49:36.932328  3312 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0608 18:49:36.932343  3312 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0608 18:49:36.968010  3312 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/bonsai/image_0051.jpg
Classifying 1 inputs.
Done in 0.59 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$