chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0001.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0125 12:19:52.935552 23091 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0125 12:19:53.021466 23091 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0125 12:19:53.021622 23091 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0125 12:19:53.021631 23091 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0125 12:19:53.023491 23091 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"
}
I0125 12:19:53.023635 23091 net.cpp:116] Using FLOAT as default forward math type
I0125 12:19:53.023643 23091 net.cpp:122] Using FLOAT as default backward math type
I0125 12:19:53.023649 23091 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0125 12:19:53.023655 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.023665 23091 net.cpp:205] Created Layer data (0)
I0125 12:19:53.023674 23091 net.cpp:547] data -> data
I0125 12:19:53.023696 23091 net.cpp:265] Setting up data
I0125 12:19:53.023705 23091 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0125 12:19:53.023712 23091 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0125 12:19:53.023717 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.023746 23091 net.cpp:205] Created Layer conv1 (1)
I0125 12:19:53.023752 23091 net.cpp:577] conv1 <- data
I0125 12:19:53.023758 23091 net.cpp:547] conv1 -> conv1
I0125 12:19:53.024067 23091 net.cpp:265] Setting up conv1
I0125 12:19:53.024078 23091 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0125 12:19:53.024096 23091 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0125 12:19:53.024101 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.024109 23091 net.cpp:205] Created Layer relu1 (2)
I0125 12:19:53.024114 23091 net.cpp:577] relu1 <- conv1
I0125 12:19:53.024119 23091 net.cpp:532] relu1 -> conv1 (in-place)
I0125 12:19:53.024130 23091 net.cpp:265] Setting up relu1
I0125 12:19:53.024137 23091 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0125 12:19:53.024142 23091 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0125 12:19:53.024147 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.024154 23091 net.cpp:205] Created Layer pool1 (3)
I0125 12:19:53.024158 23091 net.cpp:577] pool1 <- conv1
I0125 12:19:53.024164 23091 net.cpp:547] pool1 -> pool1
I0125 12:19:53.024176 23091 net.cpp:265] Setting up pool1
I0125 12:19:53.024197 23091 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0125 12:19:53.024204 23091 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0125 12:19:53.024209 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.024219 23091 net.cpp:205] Created Layer norm1 (4)
I0125 12:19:53.024224 23091 net.cpp:577] norm1 <- pool1
I0125 12:19:53.024230 23091 net.cpp:547] norm1 -> norm1
I0125 12:19:53.024241 23091 net.cpp:265] Setting up norm1
I0125 12:19:53.024247 23091 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0125 12:19:53.024252 23091 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0125 12:19:53.024257 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.024266 23091 net.cpp:205] Created Layer conv2 (5)
I0125 12:19:53.024271 23091 net.cpp:577] conv2 <- norm1
I0125 12:19:53.024277 23091 net.cpp:547] conv2 -> conv2
I0125 12:19:53.027123 23091 net.cpp:265] Setting up conv2
I0125 12:19:53.027140 23091 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0125 12:19:53.027154 23091 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0125 12:19:53.027163 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.027173 23091 net.cpp:205] Created Layer relu2 (6)
I0125 12:19:53.027179 23091 net.cpp:577] relu2 <- conv2
I0125 12:19:53.027189 23091 net.cpp:532] relu2 -> conv2 (in-place)
I0125 12:19:53.027196 23091 net.cpp:265] Setting up relu2
I0125 12:19:53.027206 23091 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0125 12:19:53.027215 23091 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0125 12:19:53.027220 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.027227 23091 net.cpp:205] Created Layer pool2 (7)
I0125 12:19:53.027232 23091 net.cpp:577] pool2 <- conv2
I0125 12:19:53.027237 23091 net.cpp:547] pool2 -> pool2
I0125 12:19:53.027245 23091 net.cpp:265] Setting up pool2
I0125 12:19:53.027251 23091 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0125 12:19:53.027256 23091 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0125 12:19:53.027261 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.027277 23091 net.cpp:205] Created Layer norm2 (8)
I0125 12:19:53.027283 23091 net.cpp:577] norm2 <- pool2
I0125 12:19:53.027292 23091 net.cpp:547] norm2 -> norm2
I0125 12:19:53.027298 23091 net.cpp:265] Setting up norm2
I0125 12:19:53.027315 23091 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0125 12:19:53.027323 23091 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0125 12:19:53.027328 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.027338 23091 net.cpp:205] Created Layer conv3 (9)
I0125 12:19:53.027343 23091 net.cpp:577] conv3 <- norm2
I0125 12:19:53.027348 23091 net.cpp:547] conv3 -> conv3
I0125 12:19:53.034147 23091 net.cpp:265] Setting up conv3
I0125 12:19:53.034159 23091 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0125 12:19:53.034169 23091 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0125 12:19:53.034175 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.034181 23091 net.cpp:205] Created Layer relu3 (10)
I0125 12:19:53.034186 23091 net.cpp:577] relu3 <- conv3
I0125 12:19:53.034193 23091 net.cpp:532] relu3 -> conv3 (in-place)
I0125 12:19:53.034198 23091 net.cpp:265] Setting up relu3
I0125 12:19:53.034204 23091 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0125 12:19:53.034209 23091 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0125 12:19:53.034214 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.034224 23091 net.cpp:205] Created Layer conv4 (11)
I0125 12:19:53.034229 23091 net.cpp:577] conv4 <- conv3
I0125 12:19:53.034235 23091 net.cpp:547] conv4 -> conv4
I0125 12:19:53.039306 23091 net.cpp:265] Setting up conv4
I0125 12:19:53.039317 23091 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0125 12:19:53.039325 23091 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0125 12:19:53.039330 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.039337 23091 net.cpp:205] Created Layer relu4 (12)
I0125 12:19:53.039342 23091 net.cpp:577] relu4 <- conv4
I0125 12:19:53.039347 23091 net.cpp:532] relu4 -> conv4 (in-place)
I0125 12:19:53.039353 23091 net.cpp:265] Setting up relu4
I0125 12:19:53.039361 23091 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0125 12:19:53.039366 23091 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0125 12:19:53.039371 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.039381 23091 net.cpp:205] Created Layer conv5 (13)
I0125 12:19:53.039387 23091 net.cpp:577] conv5 <- conv4
I0125 12:19:53.039392 23091 net.cpp:547] conv5 -> conv5
I0125 12:19:53.042778 23091 net.cpp:265] Setting up conv5
I0125 12:19:53.042790 23091 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0125 12:19:53.042799 23091 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0125 12:19:53.042805 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.042811 23091 net.cpp:205] Created Layer relu5 (14)
I0125 12:19:53.042816 23091 net.cpp:577] relu5 <- conv5
I0125 12:19:53.042821 23091 net.cpp:532] relu5 -> conv5 (in-place)
I0125 12:19:53.042826 23091 net.cpp:265] Setting up relu5
I0125 12:19:53.042834 23091 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0125 12:19:53.042840 23091 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0125 12:19:53.042845 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.042853 23091 net.cpp:205] Created Layer pool5 (15)
I0125 12:19:53.042857 23091 net.cpp:577] pool5 <- conv5
I0125 12:19:53.042862 23091 net.cpp:547] pool5 -> pool5
I0125 12:19:53.042870 23091 net.cpp:265] Setting up pool5
I0125 12:19:53.042876 23091 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0125 12:19:53.042881 23091 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0125 12:19:53.042886 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.042909 23091 net.cpp:205] Created Layer fc6 (16)
I0125 12:19:53.042915 23091 net.cpp:577] fc6 <- pool5
I0125 12:19:53.042922 23091 net.cpp:547] fc6 -> fc6
I0125 12:19:53.325177 23091 net.cpp:265] Setting up fc6
I0125 12:19:53.325222 23091 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0125 12:19:53.325233 23091 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0125 12:19:53.325240 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.325253 23091 net.cpp:205] Created Layer relu6 (17)
I0125 12:19:53.325258 23091 net.cpp:577] relu6 <- fc6
I0125 12:19:53.325265 23091 net.cpp:532] relu6 -> fc6 (in-place)
I0125 12:19:53.325273 23091 net.cpp:265] Setting up relu6
I0125 12:19:53.325280 23091 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0125 12:19:53.325285 23091 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0125 12:19:53.325290 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.325301 23091 net.cpp:205] Created Layer drop6 (18)
I0125 12:19:53.325306 23091 net.cpp:577] drop6 <- fc6
I0125 12:19:53.325311 23091 net.cpp:532] drop6 -> fc6 (in-place)
I0125 12:19:53.325317 23091 net.cpp:265] Setting up drop6
I0125 12:19:53.325323 23091 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0125 12:19:53.325328 23091 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0125 12:19:53.325333 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.325340 23091 net.cpp:205] Created Layer fc7 (19)
I0125 12:19:53.325345 23091 net.cpp:577] fc7 <- fc6
I0125 12:19:53.325350 23091 net.cpp:547] fc7 -> fc7
I0125 12:19:53.446346 23091 net.cpp:265] Setting up fc7
I0125 12:19:53.446375 23091 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0125 12:19:53.446396 23091 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0125 12:19:53.446403 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.446413 23091 net.cpp:205] Created Layer relu7 (20)
I0125 12:19:53.446419 23091 net.cpp:577] relu7 <- fc7
I0125 12:19:53.446426 23091 net.cpp:532] relu7 -> fc7 (in-place)
I0125 12:19:53.446434 23091 net.cpp:265] Setting up relu7
I0125 12:19:53.446439 23091 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0125 12:19:53.446444 23091 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0125 12:19:53.446449 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.446462 23091 net.cpp:205] Created Layer drop7 (21)
I0125 12:19:53.446466 23091 net.cpp:577] drop7 <- fc7
I0125 12:19:53.446472 23091 net.cpp:532] drop7 -> fc7 (in-place)
I0125 12:19:53.446478 23091 net.cpp:265] Setting up drop7
I0125 12:19:53.446485 23091 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0125 12:19:53.446489 23091 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0125 12:19:53.446496 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.446501 23091 net.cpp:205] Created Layer fc8 (22)
I0125 12:19:53.446506 23091 net.cpp:577] fc8 <- fc7
I0125 12:19:53.446511 23091 net.cpp:547] fc8 -> fc8
I0125 12:19:53.475988 23091 net.cpp:265] Setting up fc8
I0125 12:19:53.476006 23091 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0125 12:19:53.476024 23091 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0125 12:19:53.476032 23091 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0125 12:19:53.476047 23091 net.cpp:205] Created Layer prob (23)
I0125 12:19:53.476052 23091 net.cpp:577] prob <- fc8
I0125 12:19:53.476058 23091 net.cpp:547] prob -> prob
I0125 12:19:53.476070 23091 net.cpp:265] Setting up prob
I0125 12:19:53.476076 23091 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0125 12:19:53.476102 23091 net.cpp:343] prob does not need backward computation.
I0125 12:19:53.476109 23091 net.cpp:343] fc8 does not need backward computation.
I0125 12:19:53.476114 23091 net.cpp:343] drop7 does not need backward computation.
I0125 12:19:53.476119 23091 net.cpp:343] relu7 does not need backward computation.
I0125 12:19:53.476125 23091 net.cpp:343] fc7 does not need backward computation.
I0125 12:19:53.476130 23091 net.cpp:343] drop6 does not need backward computation.
I0125 12:19:53.476135 23091 net.cpp:343] relu6 does not need backward computation.
I0125 12:19:53.476140 23091 net.cpp:343] fc6 does not need backward computation.
I0125 12:19:53.476145 23091 net.cpp:343] pool5 does not need backward computation.
I0125 12:19:53.476150 23091 net.cpp:343] relu5 does not need backward computation.
I0125 12:19:53.476155 23091 net.cpp:343] conv5 does not need backward computation.
I0125 12:19:53.476159 23091 net.cpp:343] relu4 does not need backward computation.
I0125 12:19:53.476164 23091 net.cpp:343] conv4 does not need backward computation.
I0125 12:19:53.476169 23091 net.cpp:343] relu3 does not need backward computation.
I0125 12:19:53.476174 23091 net.cpp:343] conv3 does not need backward computation.
I0125 12:19:53.476179 23091 net.cpp:343] norm2 does not need backward computation.
I0125 12:19:53.476184 23091 net.cpp:343] pool2 does not need backward computation.
I0125 12:19:53.476189 23091 net.cpp:343] relu2 does not need backward computation.
I0125 12:19:53.476194 23091 net.cpp:343] conv2 does not need backward computation.
I0125 12:19:53.476199 23091 net.cpp:343] norm1 does not need backward computation.
I0125 12:19:53.476207 23091 net.cpp:343] pool1 does not need backward computation.
I0125 12:19:53.476212 23091 net.cpp:343] relu1 does not need backward computation.
I0125 12:19:53.476217 23091 net.cpp:343] conv1 does not need backward computation.
I0125 12:19:53.476222 23091 net.cpp:343] data does not need backward computation.
I0125 12:19:53.476231 23091 net.cpp:385] This network produces output prob
I0125 12:19:53.476250 23091 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0125 12:19:53.476256 23091 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0125 12:19:53.476261 23091 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0125 12:19:53.476266 23091 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0125 12:19:53.476271 23091 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0125 12:19:53.476275 23091 net.cpp:426] Network initialization done.
I0125 12:19:53.627095 23091 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0125 12:19:53.627125 23091 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0125 12:19:53.627130 23091 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0125 12:19:53.627157 23091 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0125 12:19:53.873265 23091 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0125 12:19:53.883102 23091 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0125 12:19:53.883118 23091 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0125 12:19:53.883467 23091 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0125 12:19:53.883473 23091 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0125 12:19:53.883488 23091 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0125 12:19:53.883492 23091 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0125 12:19:53.886168 23091 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0125 12:19:53.886194 23091 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0125 12:19:53.886199 23091 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0125 12:19:53.886202 23091 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0125 12:19:53.893832 23091 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0125 12:19:53.893841 23091 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0125 12:19:53.899533 23091 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0125 12:19:53.899539 23091 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0125 12:19:53.903371 23091 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0125 12:19:53.903380 23091 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0125 12:19:53.903384 23091 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0125 12:19:54.225471 23091 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0125 12:19:54.225499 23091 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0125 12:19:54.225503 23091 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0125 12:19:54.369221 23091 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0125 12:19:54.369246 23091 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0125 12:19:54.369249 23091 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0125 12:19:54.404233 23091 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0001.jpg
Classifying 1 inputs.
Done in 0.58 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 | 98.3%
#2 | n02500267 indri, indris, Indri indri, Indri brevicaudatus |  1.1%
#3 | n02497673 Madagascar cat, ring-tailed lemur, Lemur catta |  0.1%
chibi@1604:~/caffe$