chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0002.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0906 11:45:15.426975 25694 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0906 11:45:15.543735 25694 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0906 11:45:15.543887 25694 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0906 11:45:15.543896 25694 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0906 11:45:15.545841 25694 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"
}
I0906 11:45:15.545996 25694 net.cpp:116] Using FLOAT as default forward math type
I0906 11:45:15.546003 25694 net.cpp:122] Using FLOAT as default backward math type
I0906 11:45:15.546008 25694 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0906 11:45:15.546015 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546023 25694 net.cpp:205] Created Layer data (0)
I0906 11:45:15.546028 25694 net.cpp:547] data -> data
I0906 11:45:15.546046 25694 net.cpp:265] Setting up data
I0906 11:45:15.546053 25694 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0906 11:45:15.546059 25694 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0906 11:45:15.546064 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546090 25694 net.cpp:205] Created Layer conv1 (1)
I0906 11:45:15.546097 25694 net.cpp:577] conv1 <- data
I0906 11:45:15.546103 25694 net.cpp:547] conv1 -> conv1
I0906 11:45:15.546427 25694 net.cpp:265] Setting up conv1
I0906 11:45:15.546437 25694 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0906 11:45:15.546447 25694 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0906 11:45:15.546452 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546459 25694 net.cpp:205] Created Layer relu1 (2)
I0906 11:45:15.546464 25694 net.cpp:577] relu1 <- conv1
I0906 11:45:15.546469 25694 net.cpp:532] relu1 -> conv1 (in-place)
I0906 11:45:15.546475 25694 net.cpp:265] Setting up relu1
I0906 11:45:15.546480 25694 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0906 11:45:15.546484 25694 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0906 11:45:15.546489 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546496 25694 net.cpp:205] Created Layer pool1 (3)
I0906 11:45:15.546501 25694 net.cpp:577] pool1 <- conv1
I0906 11:45:15.546505 25694 net.cpp:547] pool1 -> pool1
I0906 11:45:15.546517 25694 net.cpp:265] Setting up pool1
I0906 11:45:15.546524 25694 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0906 11:45:15.546528 25694 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0906 11:45:15.546532 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546540 25694 net.cpp:205] Created Layer norm1 (4)
I0906 11:45:15.546545 25694 net.cpp:577] norm1 <- pool1
I0906 11:45:15.546550 25694 net.cpp:547] norm1 -> norm1
I0906 11:45:15.546561 25694 net.cpp:265] Setting up norm1
I0906 11:45:15.546566 25694 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0906 11:45:15.546571 25694 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0906 11:45:15.546574 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.546583 25694 net.cpp:205] Created Layer conv2 (5)
I0906 11:45:15.546587 25694 net.cpp:577] conv2 <- norm1
I0906 11:45:15.546592 25694 net.cpp:547] conv2 -> conv2
I0906 11:45:15.549113 25694 net.cpp:265] Setting up conv2
I0906 11:45:15.549122 25694 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0906 11:45:15.549131 25694 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0906 11:45:15.549136 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.549142 25694 net.cpp:205] Created Layer relu2 (6)
I0906 11:45:15.549146 25694 net.cpp:577] relu2 <- conv2
I0906 11:45:15.549151 25694 net.cpp:532] relu2 -> conv2 (in-place)
I0906 11:45:15.549156 25694 net.cpp:265] Setting up relu2
I0906 11:45:15.549161 25694 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0906 11:45:15.549166 25694 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0906 11:45:15.549170 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.549177 25694 net.cpp:205] Created Layer pool2 (7)
I0906 11:45:15.549181 25694 net.cpp:577] pool2 <- conv2
I0906 11:45:15.549186 25694 net.cpp:547] pool2 -> pool2
I0906 11:45:15.549196 25694 net.cpp:265] Setting up pool2
I0906 11:45:15.549201 25694 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0906 11:45:15.549206 25694 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0906 11:45:15.549211 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.549217 25694 net.cpp:205] Created Layer norm2 (8)
I0906 11:45:15.549222 25694 net.cpp:577] norm2 <- pool2
I0906 11:45:15.549227 25694 net.cpp:547] norm2 -> norm2
I0906 11:45:15.549234 25694 net.cpp:265] Setting up norm2
I0906 11:45:15.549249 25694 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0906 11:45:15.549254 25694 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0906 11:45:15.549259 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.549268 25694 net.cpp:205] Created Layer conv3 (9)
I0906 11:45:15.549273 25694 net.cpp:577] conv3 <- norm2
I0906 11:45:15.549278 25694 net.cpp:547] conv3 -> conv3
I0906 11:45:15.556495 25694 net.cpp:265] Setting up conv3
I0906 11:45:15.556505 25694 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0906 11:45:15.556514 25694 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0906 11:45:15.556519 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.556524 25694 net.cpp:205] Created Layer relu3 (10)
I0906 11:45:15.556529 25694 net.cpp:577] relu3 <- conv3
I0906 11:45:15.556533 25694 net.cpp:532] relu3 -> conv3 (in-place)
I0906 11:45:15.556540 25694 net.cpp:265] Setting up relu3
I0906 11:45:15.556545 25694 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0906 11:45:15.556548 25694 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0906 11:45:15.556553 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.556561 25694 net.cpp:205] Created Layer conv4 (11)
I0906 11:45:15.556565 25694 net.cpp:577] conv4 <- conv3
I0906 11:45:15.556571 25694 net.cpp:547] conv4 -> conv4
I0906 11:45:15.561986 25694 net.cpp:265] Setting up conv4
I0906 11:45:15.561995 25694 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0906 11:45:15.562002 25694 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0906 11:45:15.562007 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.562016 25694 net.cpp:205] Created Layer relu4 (12)
I0906 11:45:15.562021 25694 net.cpp:577] relu4 <- conv4
I0906 11:45:15.562026 25694 net.cpp:532] relu4 -> conv4 (in-place)
I0906 11:45:15.562031 25694 net.cpp:265] Setting up relu4
I0906 11:45:15.562036 25694 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0906 11:45:15.562041 25694 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0906 11:45:15.562045 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.562055 25694 net.cpp:205] Created Layer conv5 (13)
I0906 11:45:15.562060 25694 net.cpp:577] conv5 <- conv4
I0906 11:45:15.562064 25694 net.cpp:547] conv5 -> conv5
I0906 11:45:15.565686 25694 net.cpp:265] Setting up conv5
I0906 11:45:15.565696 25694 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0906 11:45:15.565704 25694 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0906 11:45:15.565709 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.565716 25694 net.cpp:205] Created Layer relu5 (14)
I0906 11:45:15.565721 25694 net.cpp:577] relu5 <- conv5
I0906 11:45:15.565726 25694 net.cpp:532] relu5 -> conv5 (in-place)
I0906 11:45:15.565732 25694 net.cpp:265] Setting up relu5
I0906 11:45:15.565737 25694 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0906 11:45:15.565742 25694 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0906 11:45:15.565745 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.565753 25694 net.cpp:205] Created Layer pool5 (15)
I0906 11:45:15.565758 25694 net.cpp:577] pool5 <- conv5
I0906 11:45:15.565762 25694 net.cpp:547] pool5 -> pool5
I0906 11:45:15.565771 25694 net.cpp:265] Setting up pool5
I0906 11:45:15.565776 25694 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0906 11:45:15.565781 25694 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0906 11:45:15.565786 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.565804 25694 net.cpp:205] Created Layer fc6 (16)
I0906 11:45:15.565809 25694 net.cpp:577] fc6 <- pool5
I0906 11:45:15.565815 25694 net.cpp:547] fc6 -> fc6
I0906 11:45:15.873180 25694 net.cpp:265] Setting up fc6
I0906 11:45:15.873208 25694 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0906 11:45:15.873219 25694 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0906 11:45:15.873225 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.873236 25694 net.cpp:205] Created Layer relu6 (17)
I0906 11:45:15.873241 25694 net.cpp:577] relu6 <- fc6
I0906 11:45:15.873247 25694 net.cpp:532] relu6 -> fc6 (in-place)
I0906 11:45:15.873255 25694 net.cpp:265] Setting up relu6
I0906 11:45:15.873260 25694 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0906 11:45:15.873263 25694 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0906 11:45:15.873268 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.873278 25694 net.cpp:205] Created Layer drop6 (18)
I0906 11:45:15.873282 25694 net.cpp:577] drop6 <- fc6
I0906 11:45:15.873286 25694 net.cpp:532] drop6 -> fc6 (in-place)
I0906 11:45:15.873292 25694 net.cpp:265] Setting up drop6
I0906 11:45:15.873297 25694 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0906 11:45:15.873302 25694 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0906 11:45:15.873307 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:15.873314 25694 net.cpp:205] Created Layer fc7 (19)
I0906 11:45:15.873318 25694 net.cpp:577] fc7 <- fc6
I0906 11:45:15.873322 25694 net.cpp:547] fc7 -> fc7
I0906 11:45:16.009781 25694 net.cpp:265] Setting up fc7
I0906 11:45:16.009809 25694 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0906 11:45:16.009817 25694 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0906 11:45:16.009824 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:16.009833 25694 net.cpp:205] Created Layer relu7 (20)
I0906 11:45:16.009840 25694 net.cpp:577] relu7 <- fc7
I0906 11:45:16.009846 25694 net.cpp:532] relu7 -> fc7 (in-place)
I0906 11:45:16.009853 25694 net.cpp:265] Setting up relu7
I0906 11:45:16.009860 25694 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0906 11:45:16.009863 25694 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0906 11:45:16.009868 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:16.009876 25694 net.cpp:205] Created Layer drop7 (21)
I0906 11:45:16.009881 25694 net.cpp:577] drop7 <- fc7
I0906 11:45:16.009886 25694 net.cpp:532] drop7 -> fc7 (in-place)
I0906 11:45:16.009891 25694 net.cpp:265] Setting up drop7
I0906 11:45:16.009896 25694 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0906 11:45:16.009901 25694 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0906 11:45:16.009904 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:16.009912 25694 net.cpp:205] Created Layer fc8 (22)
I0906 11:45:16.009917 25694 net.cpp:577] fc8 <- fc7
I0906 11:45:16.009922 25694 net.cpp:547] fc8 -> fc8
I0906 11:45:16.043097 25694 net.cpp:265] Setting up fc8
I0906 11:45:16.043118 25694 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0906 11:45:16.043128 25694 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0906 11:45:16.043133 25694 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0906 11:45:16.043146 25694 net.cpp:205] Created Layer prob (23)
I0906 11:45:16.043153 25694 net.cpp:577] prob <- fc8
I0906 11:45:16.043159 25694 net.cpp:547] prob -> prob
I0906 11:45:16.043177 25694 net.cpp:265] Setting up prob
I0906 11:45:16.043182 25694 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0906 11:45:16.043208 25694 net.cpp:343] prob does not need backward computation.
I0906 11:45:16.043213 25694 net.cpp:343] fc8 does not need backward computation.
I0906 11:45:16.043218 25694 net.cpp:343] drop7 does not need backward computation.
I0906 11:45:16.043222 25694 net.cpp:343] relu7 does not need backward computation.
I0906 11:45:16.043227 25694 net.cpp:343] fc7 does not need backward computation.
I0906 11:45:16.043232 25694 net.cpp:343] drop6 does not need backward computation.
I0906 11:45:16.043237 25694 net.cpp:343] relu6 does not need backward computation.
I0906 11:45:16.043241 25694 net.cpp:343] fc6 does not need backward computation.
I0906 11:45:16.043246 25694 net.cpp:343] pool5 does not need backward computation.
I0906 11:45:16.043251 25694 net.cpp:343] relu5 does not need backward computation.
I0906 11:45:16.043256 25694 net.cpp:343] conv5 does not need backward computation.
I0906 11:45:16.043260 25694 net.cpp:343] relu4 does not need backward computation.
I0906 11:45:16.043265 25694 net.cpp:343] conv4 does not need backward computation.
I0906 11:45:16.043270 25694 net.cpp:343] relu3 does not need backward computation.
I0906 11:45:16.043274 25694 net.cpp:343] conv3 does not need backward computation.
I0906 11:45:16.043279 25694 net.cpp:343] norm2 does not need backward computation.
I0906 11:45:16.043284 25694 net.cpp:343] pool2 does not need backward computation.
I0906 11:45:16.043288 25694 net.cpp:343] relu2 does not need backward computation.
I0906 11:45:16.043293 25694 net.cpp:343] conv2 does not need backward computation.
I0906 11:45:16.043298 25694 net.cpp:343] norm1 does not need backward computation.
I0906 11:45:16.043303 25694 net.cpp:343] pool1 does not need backward computation.
I0906 11:45:16.043308 25694 net.cpp:343] relu1 does not need backward computation.
I0906 11:45:16.043313 25694 net.cpp:343] conv1 does not need backward computation.
I0906 11:45:16.043318 25694 net.cpp:343] data does not need backward computation.
I0906 11:45:16.043321 25694 net.cpp:385] This network produces output prob
I0906 11:45:16.043339 25694 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0906 11:45:16.043344 25694 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0906 11:45:16.043349 25694 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0906 11:45:16.043354 25694 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0906 11:45:16.043359 25694 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0906 11:45:16.043362 25694 net.cpp:426] Network initialization done.
I0906 11:45:16.196063 25694 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0906 11:45:16.196092 25694 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0906 11:45:16.196099 25694 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0906 11:45:16.196113 25694 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0906 11:45:16.445775 25694 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0906 11:45:16.451665 25694 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0906 11:45:16.451679 25694 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0906 11:45:16.452024 25694 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0906 11:45:16.452037 25694 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0906 11:45:16.452041 25694 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0906 11:45:16.452045 25694 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0906 11:45:16.454723 25694 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0906 11:45:16.454748 25694 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0906 11:45:16.454763 25694 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0906 11:45:16.454767 25694 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0906 11:45:16.462479 25694 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0906 11:45:16.462487 25694 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0906 11:45:16.468297 25694 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0906 11:45:16.468304 25694 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0906 11:45:16.472190 25694 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0906 11:45:16.472198 25694 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0906 11:45:16.472201 25694 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0906 11:45:16.798336 25694 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0906 11:45:16.798358 25694 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0906 11:45:16.798374 25694 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0906 11:45:16.943267 25694 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0906 11:45:16.943286 25694 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0906 11:45:16.943301 25694 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0906 11:45:16.978706 25694 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0002.jpg
Classifying 1 inputs.
Done in 0.68 s.
Saving results into ../result.npy
chibi@1604:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02510455 giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca | 99.9%
#2 | n02105641 Old English sheepdog, bobtail |  0.0%
#3 | n02104029 kuvasz |  0.0%
chibi@1604:~/caffe$