chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/airplanes/image_0800.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0128 06:02:55.843138 32279 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0128 06:02:55.948838 32279 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0128 06:02:55.948995 32279 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0128 06:02:55.949003 32279 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0128 06:02:55.950788 32279 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"
}
I0128 06:02:55.950894 32279 net.cpp:116] Using FLOAT as default forward math type
I0128 06:02:55.950899 32279 net.cpp:122] Using FLOAT as default backward math type
I0128 06:02:55.950903 32279 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0128 06:02:55.950907 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.950917 32279 net.cpp:205] Created Layer data (0)
I0128 06:02:55.950920 32279 net.cpp:547] data -> data
I0128 06:02:55.950935 32279 net.cpp:265] Setting up data
I0128 06:02:55.950947 32279 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0128 06:02:55.950954 32279 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0128 06:02:55.950958 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.950983 32279 net.cpp:205] Created Layer conv1 (1)
I0128 06:02:55.950987 32279 net.cpp:577] conv1 <- data
I0128 06:02:55.950991 32279 net.cpp:547] conv1 -> conv1
I0128 06:02:55.951299 32279 net.cpp:265] Setting up conv1
I0128 06:02:55.951308 32279 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0128 06:02:55.951316 32279 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0128 06:02:55.951323 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.951330 32279 net.cpp:205] Created Layer relu1 (2)
I0128 06:02:55.951336 32279 net.cpp:577] relu1 <- conv1
I0128 06:02:55.951339 32279 net.cpp:532] relu1 -> conv1 (in-place)
I0128 06:02:55.951346 32279 net.cpp:265] Setting up relu1
I0128 06:02:55.951350 32279 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0128 06:02:55.951355 32279 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0128 06:02:55.951359 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.951365 32279 net.cpp:205] Created Layer pool1 (3)
I0128 06:02:55.951371 32279 net.cpp:577] pool1 <- conv1
I0128 06:02:55.951375 32279 net.cpp:547] pool1 -> pool1
I0128 06:02:55.951387 32279 net.cpp:265] Setting up pool1
I0128 06:02:55.951393 32279 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0128 06:02:55.951398 32279 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0128 06:02:55.951406 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.951414 32279 net.cpp:205] Created Layer norm1 (4)
I0128 06:02:55.951418 32279 net.cpp:577] norm1 <- pool1
I0128 06:02:55.951423 32279 net.cpp:547] norm1 -> norm1
I0128 06:02:55.951431 32279 net.cpp:265] Setting up norm1
I0128 06:02:55.951436 32279 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0128 06:02:55.951440 32279 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0128 06:02:55.951444 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.951452 32279 net.cpp:205] Created Layer conv2 (5)
I0128 06:02:55.951457 32279 net.cpp:577] conv2 <- norm1
I0128 06:02:55.951462 32279 net.cpp:547] conv2 -> conv2
I0128 06:02:55.953944 32279 net.cpp:265] Setting up conv2
I0128 06:02:55.953953 32279 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0128 06:02:55.953963 32279 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0128 06:02:55.953967 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.953974 32279 net.cpp:205] Created Layer relu2 (6)
I0128 06:02:55.953977 32279 net.cpp:577] relu2 <- conv2
I0128 06:02:55.953984 32279 net.cpp:532] relu2 -> conv2 (in-place)
I0128 06:02:55.953990 32279 net.cpp:265] Setting up relu2
I0128 06:02:55.953995 32279 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0128 06:02:55.954000 32279 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0128 06:02:55.954005 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.954013 32279 net.cpp:205] Created Layer pool2 (7)
I0128 06:02:55.954018 32279 net.cpp:577] pool2 <- conv2
I0128 06:02:55.954025 32279 net.cpp:547] pool2 -> pool2
I0128 06:02:55.954032 32279 net.cpp:265] Setting up pool2
I0128 06:02:55.954037 32279 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0128 06:02:55.954041 32279 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0128 06:02:55.954046 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.954056 32279 net.cpp:205] Created Layer norm2 (8)
I0128 06:02:55.954061 32279 net.cpp:577] norm2 <- pool2
I0128 06:02:55.954068 32279 net.cpp:547] norm2 -> norm2
I0128 06:02:55.954074 32279 net.cpp:265] Setting up norm2
I0128 06:02:55.954087 32279 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0128 06:02:55.954092 32279 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0128 06:02:55.954097 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.954104 32279 net.cpp:205] Created Layer conv3 (9)
I0128 06:02:55.954109 32279 net.cpp:577] conv3 <- norm2
I0128 06:02:55.954113 32279 net.cpp:547] conv3 -> conv3
I0128 06:02:55.961256 32279 net.cpp:265] Setting up conv3
I0128 06:02:55.961266 32279 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0128 06:02:55.961273 32279 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0128 06:02:55.961287 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.961292 32279 net.cpp:205] Created Layer relu3 (10)
I0128 06:02:55.961297 32279 net.cpp:577] relu3 <- conv3
I0128 06:02:55.961313 32279 net.cpp:532] relu3 -> conv3 (in-place)
I0128 06:02:55.961325 32279 net.cpp:265] Setting up relu3
I0128 06:02:55.961330 32279 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0128 06:02:55.961335 32279 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0128 06:02:55.961340 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.961349 32279 net.cpp:205] Created Layer conv4 (11)
I0128 06:02:55.961352 32279 net.cpp:577] conv4 <- conv3
I0128 06:02:55.961369 32279 net.cpp:547] conv4 -> conv4
I0128 06:02:55.966740 32279 net.cpp:265] Setting up conv4
I0128 06:02:55.966751 32279 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0128 06:02:55.966758 32279 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0128 06:02:55.966761 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.966766 32279 net.cpp:205] Created Layer relu4 (12)
I0128 06:02:55.966769 32279 net.cpp:577] relu4 <- conv4
I0128 06:02:55.966773 32279 net.cpp:532] relu4 -> conv4 (in-place)
I0128 06:02:55.966778 32279 net.cpp:265] Setting up relu4
I0128 06:02:55.966784 32279 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0128 06:02:55.966789 32279 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0128 06:02:55.966794 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.966804 32279 net.cpp:205] Created Layer conv5 (13)
I0128 06:02:55.966809 32279 net.cpp:577] conv5 <- conv4
I0128 06:02:55.966814 32279 net.cpp:547] conv5 -> conv5
I0128 06:02:55.970404 32279 net.cpp:265] Setting up conv5
I0128 06:02:55.970413 32279 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0128 06:02:55.970422 32279 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0128 06:02:55.970432 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.970439 32279 net.cpp:205] Created Layer relu5 (14)
I0128 06:02:55.970443 32279 net.cpp:577] relu5 <- conv5
I0128 06:02:55.970449 32279 net.cpp:532] relu5 -> conv5 (in-place)
I0128 06:02:55.970456 32279 net.cpp:265] Setting up relu5
I0128 06:02:55.970463 32279 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0128 06:02:55.970466 32279 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0128 06:02:55.970490 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.970497 32279 net.cpp:205] Created Layer pool5 (15)
I0128 06:02:55.970502 32279 net.cpp:577] pool5 <- conv5
I0128 06:02:55.970505 32279 net.cpp:547] pool5 -> pool5
I0128 06:02:55.970512 32279 net.cpp:265] Setting up pool5
I0128 06:02:55.970518 32279 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0128 06:02:55.970523 32279 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0128 06:02:55.970530 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:55.970561 32279 net.cpp:205] Created Layer fc6 (16)
I0128 06:02:55.970567 32279 net.cpp:577] fc6 <- pool5
I0128 06:02:55.970571 32279 net.cpp:547] fc6 -> fc6
I0128 06:02:56.280418 32279 net.cpp:265] Setting up fc6
I0128 06:02:56.280457 32279 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0128 06:02:56.280467 32279 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0128 06:02:56.280473 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.280481 32279 net.cpp:205] Created Layer relu6 (17)
I0128 06:02:56.280488 32279 net.cpp:577] relu6 <- fc6
I0128 06:02:56.280525 32279 net.cpp:532] relu6 -> fc6 (in-place)
I0128 06:02:56.280531 32279 net.cpp:265] Setting up relu6
I0128 06:02:56.280536 32279 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0128 06:02:56.280540 32279 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0128 06:02:56.280547 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.280557 32279 net.cpp:205] Created Layer drop6 (18)
I0128 06:02:56.280561 32279 net.cpp:577] drop6 <- fc6
I0128 06:02:56.280565 32279 net.cpp:532] drop6 -> fc6 (in-place)
I0128 06:02:56.280571 32279 net.cpp:265] Setting up drop6
I0128 06:02:56.280575 32279 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0128 06:02:56.280580 32279 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0128 06:02:56.280586 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.280592 32279 net.cpp:205] Created Layer fc7 (19)
I0128 06:02:56.280596 32279 net.cpp:577] fc7 <- fc6
I0128 06:02:56.280601 32279 net.cpp:547] fc7 -> fc7
I0128 06:02:56.415381 32279 net.cpp:265] Setting up fc7
I0128 06:02:56.415418 32279 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0128 06:02:56.415428 32279 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0128 06:02:56.415433 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.415442 32279 net.cpp:205] Created Layer relu7 (20)
I0128 06:02:56.415446 32279 net.cpp:577] relu7 <- fc7
I0128 06:02:56.415452 32279 net.cpp:532] relu7 -> fc7 (in-place)
I0128 06:02:56.415457 32279 net.cpp:265] Setting up relu7
I0128 06:02:56.415460 32279 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0128 06:02:56.415463 32279 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0128 06:02:56.415467 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.415474 32279 net.cpp:205] Created Layer drop7 (21)
I0128 06:02:56.415477 32279 net.cpp:577] drop7 <- fc7
I0128 06:02:56.415480 32279 net.cpp:532] drop7 -> fc7 (in-place)
I0128 06:02:56.415484 32279 net.cpp:265] Setting up drop7
I0128 06:02:56.415488 32279 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0128 06:02:56.415490 32279 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0128 06:02:56.415493 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.415498 32279 net.cpp:205] Created Layer fc8 (22)
I0128 06:02:56.415501 32279 net.cpp:577] fc8 <- fc7
I0128 06:02:56.415503 32279 net.cpp:547] fc8 -> fc8
I0128 06:02:56.446363 32279 net.cpp:265] Setting up fc8
I0128 06:02:56.446400 32279 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0128 06:02:56.446409 32279 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0128 06:02:56.446418 32279 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0128 06:02:56.446434 32279 net.cpp:205] Created Layer prob (23)
I0128 06:02:56.446439 32279 net.cpp:577] prob <- fc8
I0128 06:02:56.446447 32279 net.cpp:547] prob -> prob
I0128 06:02:56.446460 32279 net.cpp:265] Setting up prob
I0128 06:02:56.446466 32279 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0128 06:02:56.446501 32279 net.cpp:343] prob does not need backward computation.
I0128 06:02:56.446506 32279 net.cpp:343] fc8 does not need backward computation.
I0128 06:02:56.446511 32279 net.cpp:343] drop7 does not need backward computation.
I0128 06:02:56.446516 32279 net.cpp:343] relu7 does not need backward computation.
I0128 06:02:56.446522 32279 net.cpp:343] fc7 does not need backward computation.
I0128 06:02:56.446527 32279 net.cpp:343] drop6 does not need backward computation.
I0128 06:02:56.446532 32279 net.cpp:343] relu6 does not need backward computation.
I0128 06:02:56.446537 32279 net.cpp:343] fc6 does not need backward computation.
I0128 06:02:56.446542 32279 net.cpp:343] pool5 does not need backward computation.
I0128 06:02:56.446545 32279 net.cpp:343] relu5 does not need backward computation.
I0128 06:02:56.446550 32279 net.cpp:343] conv5 does not need backward computation.
I0128 06:02:56.446555 32279 net.cpp:343] relu4 does not need backward computation.
I0128 06:02:56.446559 32279 net.cpp:343] conv4 does not need backward computation.
I0128 06:02:56.446565 32279 net.cpp:343] relu3 does not need backward computation.
I0128 06:02:56.446569 32279 net.cpp:343] conv3 does not need backward computation.
I0128 06:02:56.446574 32279 net.cpp:343] norm2 does not need backward computation.
I0128 06:02:56.446578 32279 net.cpp:343] pool2 does not need backward computation.
I0128 06:02:56.446584 32279 net.cpp:343] relu2 does not need backward computation.
I0128 06:02:56.446589 32279 net.cpp:343] conv2 does not need backward computation.
I0128 06:02:56.446594 32279 net.cpp:343] norm1 does not need backward computation.
I0128 06:02:56.446602 32279 net.cpp:343] pool1 does not need backward computation.
I0128 06:02:56.446607 32279 net.cpp:343] relu1 does not need backward computation.
I0128 06:02:56.446610 32279 net.cpp:343] conv1 does not need backward computation.
I0128 06:02:56.446615 32279 net.cpp:343] data does not need backward computation.
I0128 06:02:56.446619 32279 net.cpp:385] This network produces output prob
I0128 06:02:56.446640 32279 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0128 06:02:56.446643 32279 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0128 06:02:56.446647 32279 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0128 06:02:56.446651 32279 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0128 06:02:56.446657 32279 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0128 06:02:56.446661 32279 net.cpp:426] Network initialization done.
I0128 06:02:56.555979 32279 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0128 06:02:56.556010 32279 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0128 06:02:56.556013 32279 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0128 06:02:56.556036 32279 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0128 06:02:56.689436 32279 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0128 06:02:56.694412 32279 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0128 06:02:56.694434 32279 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0128 06:02:56.694775 32279 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0128 06:02:56.694779 32279 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0128 06:02:56.694782 32279 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0128 06:02:56.694788 32279 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0128 06:02:56.697649 32279 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0128 06:02:56.697685 32279 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0128 06:02:56.697687 32279 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0128 06:02:56.697690 32279 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0128 06:02:56.705915 32279 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0128 06:02:56.705926 32279 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0128 06:02:56.711968 32279 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0128 06:02:56.711975 32279 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0128 06:02:56.716058 32279 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0128 06:02:56.716063 32279 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0128 06:02:56.716066 32279 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0128 06:02:57.066025 32279 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0128 06:02:57.066063 32279 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0128 06:02:57.066066 32279 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0128 06:02:57.226059 32279 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0128 06:02:57.226088 32279 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0128 06:02:57.226090 32279 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0128 06:02:57.266505 32279 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/airplanes/image_0800.jpg
Classifying 1 inputs.
Done in 0.65 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02690373 airliner | 97.9%
#2 | n04266014 space shuttle |  0.7%
#3 | n04008634 projectile, missile |  0.4%
chibi@1604:~/caffe$