chibi@1604:~$ cd caffe
chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/butterfly/image_0001.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0408 10:34:52.532629  4132 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0408 10:34:53.336026  4132 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0408 10:34:53.336145  4132 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0408 10:34:53.336153  4132 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0408 10:34:53.392809  4132 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"
}
I0408 10:34:53.424751  4132 net.cpp:116] Using FLOAT as default forward math type
I0408 10:34:53.424769  4132 net.cpp:122] Using FLOAT as default backward math type
I0408 10:34:53.424777  4132 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0408 10:34:53.424783  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.424795  4132 net.cpp:205] Created Layer data (0)
I0408 10:34:53.424808  4132 net.cpp:547] data -> data
I0408 10:34:53.442385  4132 net.cpp:265] Setting up data
I0408 10:34:53.442402  4132 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0408 10:34:53.442411  4132 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0408 10:34:53.442417  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.461179  4132 net.cpp:205] Created Layer conv1 (1)
I0408 10:34:53.461201  4132 net.cpp:577] conv1 <- data
I0408 10:34:53.461211  4132 net.cpp:547] conv1 -> conv1
I0408 10:34:53.474786  4132 net.cpp:265] Setting up conv1
I0408 10:34:53.474813  4132 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0408 10:34:53.474825  4132 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0408 10:34:53.474830  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.474838  4132 net.cpp:205] Created Layer relu1 (2)
I0408 10:34:53.474843  4132 net.cpp:577] relu1 <- conv1
I0408 10:34:53.474862  4132 net.cpp:532] relu1 -> conv1 (in-place)
I0408 10:34:53.474869  4132 net.cpp:265] Setting up relu1
I0408 10:34:53.474874  4132 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0408 10:34:53.474879  4132 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0408 10:34:53.474885  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.474898  4132 net.cpp:205] Created Layer pool1 (3)
I0408 10:34:53.474903  4132 net.cpp:577] pool1 <- conv1
I0408 10:34:53.474910  4132 net.cpp:547] pool1 -> pool1
I0408 10:34:53.474922  4132 net.cpp:265] Setting up pool1
I0408 10:34:53.474928  4132 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0408 10:34:53.474933  4132 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0408 10:34:53.474939  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.474947  4132 net.cpp:205] Created Layer norm1 (4)
I0408 10:34:53.474953  4132 net.cpp:577] norm1 <- pool1
I0408 10:34:53.474958  4132 net.cpp:547] norm1 -> norm1
I0408 10:34:53.474967  4132 net.cpp:265] Setting up norm1
I0408 10:34:53.474972  4132 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0408 10:34:53.474977  4132 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0408 10:34:53.474983  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.474992  4132 net.cpp:205] Created Layer conv2 (5)
I0408 10:34:53.474997  4132 net.cpp:577] conv2 <- norm1
I0408 10:34:53.475003  4132 net.cpp:547] conv2 -> conv2
I0408 10:34:53.477460  4132 net.cpp:265] Setting up conv2
I0408 10:34:53.477470  4132 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0408 10:34:53.477479  4132 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0408 10:34:53.477484  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.477491  4132 net.cpp:205] Created Layer relu2 (6)
I0408 10:34:53.477496  4132 net.cpp:577] relu2 <- conv2
I0408 10:34:53.477501  4132 net.cpp:532] relu2 -> conv2 (in-place)
I0408 10:34:53.477506  4132 net.cpp:265] Setting up relu2
I0408 10:34:53.477514  4132 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0408 10:34:53.477519  4132 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0408 10:34:53.477524  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.477531  4132 net.cpp:205] Created Layer pool2 (7)
I0408 10:34:53.477536  4132 net.cpp:577] pool2 <- conv2
I0408 10:34:53.477541  4132 net.cpp:547] pool2 -> pool2
I0408 10:34:53.477548  4132 net.cpp:265] Setting up pool2
I0408 10:34:53.477555  4132 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0408 10:34:53.477560  4132 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0408 10:34:53.477564  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.477576  4132 net.cpp:205] Created Layer norm2 (8)
I0408 10:34:53.477581  4132 net.cpp:577] norm2 <- pool2
I0408 10:34:53.477586  4132 net.cpp:547] norm2 -> norm2
I0408 10:34:53.477593  4132 net.cpp:265] Setting up norm2
I0408 10:34:53.477610  4132 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0408 10:34:53.477617  4132 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0408 10:34:53.477622  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.477632  4132 net.cpp:205] Created Layer conv3 (9)
I0408 10:34:53.477636  4132 net.cpp:577] conv3 <- norm2
I0408 10:34:53.477643  4132 net.cpp:547] conv3 -> conv3
I0408 10:34:53.484659  4132 net.cpp:265] Setting up conv3
I0408 10:34:53.484670  4132 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0408 10:34:53.484680  4132 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0408 10:34:53.484685  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.484692  4132 net.cpp:205] Created Layer relu3 (10)
I0408 10:34:53.484697  4132 net.cpp:577] relu3 <- conv3
I0408 10:34:53.484704  4132 net.cpp:532] relu3 -> conv3 (in-place)
I0408 10:34:53.484709  4132 net.cpp:265] Setting up relu3
I0408 10:34:53.484714  4132 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0408 10:34:53.484719  4132 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0408 10:34:53.484724  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.484733  4132 net.cpp:205] Created Layer conv4 (11)
I0408 10:34:53.484738  4132 net.cpp:577] conv4 <- conv3
I0408 10:34:53.484743  4132 net.cpp:547] conv4 -> conv4
I0408 10:34:53.490022  4132 net.cpp:265] Setting up conv4
I0408 10:34:53.490032  4132 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0408 10:34:53.490041  4132 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0408 10:34:53.490046  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.490053  4132 net.cpp:205] Created Layer relu4 (12)
I0408 10:34:53.490058  4132 net.cpp:577] relu4 <- conv4
I0408 10:34:53.490063  4132 net.cpp:532] relu4 -> conv4 (in-place)
I0408 10:34:53.490069  4132 net.cpp:265] Setting up relu4
I0408 10:34:53.490074  4132 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0408 10:34:53.490079  4132 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0408 10:34:53.490084  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.490095  4132 net.cpp:205] Created Layer conv5 (13)
I0408 10:34:53.490100  4132 net.cpp:577] conv5 <- conv4
I0408 10:34:53.490105  4132 net.cpp:547] conv5 -> conv5
I0408 10:34:53.493619  4132 net.cpp:265] Setting up conv5
I0408 10:34:53.493629  4132 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0408 10:34:53.493638  4132 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0408 10:34:53.493643  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.493651  4132 net.cpp:205] Created Layer relu5 (14)
I0408 10:34:53.493656  4132 net.cpp:577] relu5 <- conv5
I0408 10:34:53.493662  4132 net.cpp:532] relu5 -> conv5 (in-place)
I0408 10:34:53.493667  4132 net.cpp:265] Setting up relu5
I0408 10:34:53.493674  4132 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0408 10:34:53.493679  4132 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0408 10:34:53.493685  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.493692  4132 net.cpp:205] Created Layer pool5 (15)
I0408 10:34:53.493697  4132 net.cpp:577] pool5 <- conv5
I0408 10:34:53.493702  4132 net.cpp:547] pool5 -> pool5
I0408 10:34:53.493711  4132 net.cpp:265] Setting up pool5
I0408 10:34:53.493717  4132 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0408 10:34:53.493722  4132 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0408 10:34:53.493727  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.493746  4132 net.cpp:205] Created Layer fc6 (16)
I0408 10:34:53.493752  4132 net.cpp:577] fc6 <- pool5
I0408 10:34:53.493757  4132 net.cpp:547] fc6 -> fc6
I0408 10:34:53.791021  4132 net.cpp:265] Setting up fc6
I0408 10:34:53.791049  4132 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0408 10:34:53.791059  4132 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0408 10:34:53.791064  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.791074  4132 net.cpp:205] Created Layer relu6 (17)
I0408 10:34:53.791079  4132 net.cpp:577] relu6 <- fc6
I0408 10:34:53.791085  4132 net.cpp:532] relu6 -> fc6 (in-place)
I0408 10:34:53.791095  4132 net.cpp:265] Setting up relu6
I0408 10:34:53.791101  4132 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0408 10:34:53.791106  4132 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0408 10:34:53.791111  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.791121  4132 net.cpp:205] Created Layer drop6 (18)
I0408 10:34:53.791126  4132 net.cpp:577] drop6 <- fc6
I0408 10:34:53.791131  4132 net.cpp:532] drop6 -> fc6 (in-place)
I0408 10:34:53.791137  4132 net.cpp:265] Setting up drop6
I0408 10:34:53.791142  4132 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0408 10:34:53.791147  4132 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0408 10:34:53.791152  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.791159  4132 net.cpp:205] Created Layer fc7 (19)
I0408 10:34:53.791163  4132 net.cpp:577] fc7 <- fc6
I0408 10:34:53.791169  4132 net.cpp:547] fc7 -> fc7
I0408 10:34:53.915401  4132 net.cpp:265] Setting up fc7
I0408 10:34:53.915426  4132 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0408 10:34:53.915436  4132 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0408 10:34:53.915441  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.915450  4132 net.cpp:205] Created Layer relu7 (20)
I0408 10:34:53.915455  4132 net.cpp:577] relu7 <- fc7
I0408 10:34:53.915462  4132 net.cpp:532] relu7 -> fc7 (in-place)
I0408 10:34:53.915483  4132 net.cpp:265] Setting up relu7
I0408 10:34:53.915488  4132 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0408 10:34:53.915493  4132 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0408 10:34:53.915498  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.915506  4132 net.cpp:205] Created Layer drop7 (21)
I0408 10:34:53.915510  4132 net.cpp:577] drop7 <- fc7
I0408 10:34:53.915515  4132 net.cpp:532] drop7 -> fc7 (in-place)
I0408 10:34:53.915522  4132 net.cpp:265] Setting up drop7
I0408 10:34:53.915527  4132 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0408 10:34:53.915532  4132 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0408 10:34:53.915539  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.915547  4132 net.cpp:205] Created Layer fc8 (22)
I0408 10:34:53.915551  4132 net.cpp:577] fc8 <- fc7
I0408 10:34:53.915557  4132 net.cpp:547] fc8 -> fc8
I0408 10:34:53.945914  4132 net.cpp:265] Setting up fc8
I0408 10:34:53.945925  4132 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0408 10:34:53.945932  4132 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0408 10:34:53.945936  4132 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0408 10:34:53.945946  4132 net.cpp:205] Created Layer prob (23)
I0408 10:34:53.945950  4132 net.cpp:577] prob <- fc8
I0408 10:34:53.945955  4132 net.cpp:547] prob -> prob
I0408 10:34:53.945977  4132 net.cpp:265] Setting up prob
I0408 10:34:53.945982  4132 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0408 10:34:53.946007  4132 net.cpp:343] prob does not need backward computation.
I0408 10:34:53.946012  4132 net.cpp:343] fc8 does not need backward computation.
I0408 10:34:53.946017  4132 net.cpp:343] drop7 does not need backward computation.
I0408 10:34:53.946022  4132 net.cpp:343] relu7 does not need backward computation.
I0408 10:34:53.946025  4132 net.cpp:343] fc7 does not need backward computation.
I0408 10:34:53.946030  4132 net.cpp:343] drop6 does not need backward computation.
I0408 10:34:53.946034  4132 net.cpp:343] relu6 does not need backward computation.
I0408 10:34:53.946039  4132 net.cpp:343] fc6 does not need backward computation.
I0408 10:34:53.946044  4132 net.cpp:343] pool5 does not need backward computation.
I0408 10:34:53.946049  4132 net.cpp:343] relu5 does not need backward computation.
I0408 10:34:53.946054  4132 net.cpp:343] conv5 does not need backward computation.
I0408 10:34:53.946059  4132 net.cpp:343] relu4 does not need backward computation.
I0408 10:34:53.946063  4132 net.cpp:343] conv4 does not need backward computation.
I0408 10:34:53.946069  4132 net.cpp:343] relu3 does not need backward computation.
I0408 10:34:53.946074  4132 net.cpp:343] conv3 does not need backward computation.
I0408 10:34:53.946077  4132 net.cpp:343] norm2 does not need backward computation.
I0408 10:34:53.946082  4132 net.cpp:343] pool2 does not need backward computation.
I0408 10:34:53.946087  4132 net.cpp:343] relu2 does not need backward computation.
I0408 10:34:53.946091  4132 net.cpp:343] conv2 does not need backward computation.
I0408 10:34:53.946096  4132 net.cpp:343] norm1 does not need backward computation.
I0408 10:34:53.946101  4132 net.cpp:343] pool1 does not need backward computation.
I0408 10:34:53.946106  4132 net.cpp:343] relu1 does not need backward computation.
I0408 10:34:53.946110  4132 net.cpp:343] conv1 does not need backward computation.
I0408 10:34:53.946115  4132 net.cpp:343] data does not need backward computation.
I0408 10:34:53.946120  4132 net.cpp:385] This network produces output prob
I0408 10:34:53.946139  4132 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0408 10:34:53.946144  4132 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0408 10:34:53.946149  4132 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0408 10:34:53.946153  4132 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0408 10:34:53.946158  4132 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0408 10:34:53.946162  4132 net.cpp:426] Network initialization done.
I0408 10:34:56.228569  4132 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0408 10:34:56.228605  4132 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0408 10:34:56.228608  4132 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0408 10:34:56.228626  4132 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0408 10:34:56.498921  4132 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0408 10:34:56.504909  4132 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0408 10:34:56.504920  4132 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0408 10:34:56.505285  4132 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0408 10:34:56.505290  4132 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0408 10:34:56.505297  4132 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0408 10:34:56.505302  4132 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0408 10:34:56.508153  4132 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0408 10:34:56.508177  4132 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0408 10:34:56.508180  4132 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0408 10:34:56.508184  4132 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0408 10:34:56.516343  4132 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0408 10:34:56.516350  4132 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0408 10:34:56.522444  4132 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0408 10:34:56.522450  4132 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0408 10:34:56.526525  4132 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0408 10:34:56.526530  4132 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0408 10:34:56.526535  4132 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0408 10:34:56.871085  4132 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0408 10:34:56.871109  4132 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0408 10:34:56.871112  4132 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0408 10:34:57.022651  4132 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0408 10:34:57.022670  4132 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0408 10:34:57.022673  4132 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0408 10:34:57.059922  4132 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/butterfly/image_0001.jpg
Classifying 1 inputs.
Done in 0.62 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02279972 monarch, monarch butterfly, milkweed butterfly, Danaus plexippus | 100.0%
#2 | n02281787 lycaenid, lycaenid butterfly |  0.0%
#3 | n02281406 sulphur butterfly, sulfur butterfly |  0.0%
chibi@1604:~/caffe$