chibi@1604:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0008.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0813 11:54:48.226882  6317 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0813 11:54:48.327240  6317 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0813 11:54:48.327347  6317 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0813 11:54:48.327350  6317 _caffe.cpp:175] Net('../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0813 11:54:48.328655  6317 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"
}
I0813 11:54:48.328794  6317 net.cpp:116] Using FLOAT as default forward math type
I0813 11:54:48.328799  6317 net.cpp:122] Using FLOAT as default backward math type
I0813 11:54:48.328801  6317 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0813 11:54:48.328806  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.328814  6317 net.cpp:205] Created Layer data (0)
I0813 11:54:48.328819  6317 net.cpp:547] data -> data
I0813 11:54:48.328830  6317 net.cpp:265] Setting up data
I0813 11:54:48.328835  6317 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0813 11:54:48.328840  6317 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0813 11:54:48.328845  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.328862  6317 net.cpp:205] Created Layer conv1 (1)
I0813 11:54:48.328866  6317 net.cpp:577] conv1 <- data
I0813 11:54:48.328869  6317 net.cpp:547] conv1 -> conv1
I0813 11:54:48.329103  6317 net.cpp:265] Setting up conv1
I0813 11:54:48.329108  6317 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0813 11:54:48.329116  6317 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0813 11:54:48.329119  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.329124  6317 net.cpp:205] Created Layer relu1 (2)
I0813 11:54:48.329128  6317 net.cpp:577] relu1 <- conv1
I0813 11:54:48.329130  6317 net.cpp:532] relu1 -> conv1 (in-place)
I0813 11:54:48.329136  6317 net.cpp:265] Setting up relu1
I0813 11:54:48.329140  6317 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0813 11:54:48.329144  6317 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0813 11:54:48.329146  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.329152  6317 net.cpp:205] Created Layer pool1 (3)
I0813 11:54:48.329155  6317 net.cpp:577] pool1 <- conv1
I0813 11:54:48.329159  6317 net.cpp:547] pool1 -> pool1
I0813 11:54:48.329167  6317 net.cpp:265] Setting up pool1
I0813 11:54:48.329171  6317 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0813 11:54:48.329175  6317 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0813 11:54:48.329180  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.329185  6317 net.cpp:205] Created Layer norm1 (4)
I0813 11:54:48.329188  6317 net.cpp:577] norm1 <- pool1
I0813 11:54:48.329191  6317 net.cpp:547] norm1 -> norm1
I0813 11:54:48.329196  6317 net.cpp:265] Setting up norm1
I0813 11:54:48.329200  6317 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0813 11:54:48.329203  6317 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0813 11:54:48.329208  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.329213  6317 net.cpp:205] Created Layer conv2 (5)
I0813 11:54:48.329216  6317 net.cpp:577] conv2 <- norm1
I0813 11:54:48.329219  6317 net.cpp:547] conv2 -> conv2
I0813 11:54:48.331080  6317 net.cpp:265] Setting up conv2
I0813 11:54:48.331085  6317 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0813 11:54:48.331090  6317 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0813 11:54:48.331094  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.331097  6317 net.cpp:205] Created Layer relu2 (6)
I0813 11:54:48.331100  6317 net.cpp:577] relu2 <- conv2
I0813 11:54:48.331104  6317 net.cpp:532] relu2 -> conv2 (in-place)
I0813 11:54:48.331108  6317 net.cpp:265] Setting up relu2
I0813 11:54:48.331111  6317 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0813 11:54:48.331115  6317 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0813 11:54:48.331118  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.331122  6317 net.cpp:205] Created Layer pool2 (7)
I0813 11:54:48.331125  6317 net.cpp:577] pool2 <- conv2
I0813 11:54:48.331130  6317 net.cpp:547] pool2 -> pool2
I0813 11:54:48.331135  6317 net.cpp:265] Setting up pool2
I0813 11:54:48.331137  6317 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0813 11:54:48.331141  6317 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0813 11:54:48.331144  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.331152  6317 net.cpp:205] Created Layer norm2 (8)
I0813 11:54:48.331156  6317 net.cpp:577] norm2 <- pool2
I0813 11:54:48.331159  6317 net.cpp:547] norm2 -> norm2
I0813 11:54:48.331163  6317 net.cpp:265] Setting up norm2
I0813 11:54:48.331172  6317 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0813 11:54:48.331176  6317 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0813 11:54:48.331179  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.331184  6317 net.cpp:205] Created Layer conv3 (9)
I0813 11:54:48.331187  6317 net.cpp:577] conv3 <- norm2
I0813 11:54:48.331192  6317 net.cpp:547] conv3 -> conv3
I0813 11:54:48.336570  6317 net.cpp:265] Setting up conv3
I0813 11:54:48.336575  6317 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0813 11:54:48.336581  6317 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0813 11:54:48.336585  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.336588  6317 net.cpp:205] Created Layer relu3 (10)
I0813 11:54:48.336591  6317 net.cpp:577] relu3 <- conv3
I0813 11:54:48.336596  6317 net.cpp:532] relu3 -> conv3 (in-place)
I0813 11:54:48.336599  6317 net.cpp:265] Setting up relu3
I0813 11:54:48.336603  6317 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0813 11:54:48.336606  6317 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0813 11:54:48.336611  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.336616  6317 net.cpp:205] Created Layer conv4 (11)
I0813 11:54:48.336618  6317 net.cpp:577] conv4 <- conv3
I0813 11:54:48.336622  6317 net.cpp:547] conv4 -> conv4
I0813 11:54:48.340675  6317 net.cpp:265] Setting up conv4
I0813 11:54:48.340680  6317 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0813 11:54:48.340685  6317 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0813 11:54:48.340689  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.340708  6317 net.cpp:205] Created Layer relu4 (12)
I0813 11:54:48.340713  6317 net.cpp:577] relu4 <- conv4
I0813 11:54:48.340714  6317 net.cpp:532] relu4 -> conv4 (in-place)
I0813 11:54:48.340718  6317 net.cpp:265] Setting up relu4
I0813 11:54:48.340723  6317 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0813 11:54:48.340724  6317 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0813 11:54:48.340728  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.340734  6317 net.cpp:205] Created Layer conv5 (13)
I0813 11:54:48.340736  6317 net.cpp:577] conv5 <- conv4
I0813 11:54:48.340739  6317 net.cpp:547] conv5 -> conv5
I0813 11:54:48.343433  6317 net.cpp:265] Setting up conv5
I0813 11:54:48.343438  6317 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0813 11:54:48.343443  6317 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0813 11:54:48.343446  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.343449  6317 net.cpp:205] Created Layer relu5 (14)
I0813 11:54:48.343451  6317 net.cpp:577] relu5 <- conv5
I0813 11:54:48.343454  6317 net.cpp:532] relu5 -> conv5 (in-place)
I0813 11:54:48.343458  6317 net.cpp:265] Setting up relu5
I0813 11:54:48.343462  6317 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0813 11:54:48.343466  6317 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0813 11:54:48.343468  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.343473  6317 net.cpp:205] Created Layer pool5 (15)
I0813 11:54:48.343477  6317 net.cpp:577] pool5 <- conv5
I0813 11:54:48.343480  6317 net.cpp:547] pool5 -> pool5
I0813 11:54:48.343487  6317 net.cpp:265] Setting up pool5
I0813 11:54:48.343490  6317 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0813 11:54:48.343494  6317 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0813 11:54:48.343497  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.343510  6317 net.cpp:205] Created Layer fc6 (16)
I0813 11:54:48.343514  6317 net.cpp:577] fc6 <- pool5
I0813 11:54:48.343520  6317 net.cpp:547] fc6 -> fc6
I0813 11:54:48.573362  6317 net.cpp:265] Setting up fc6
I0813 11:54:48.573391  6317 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0813 11:54:48.573410  6317 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0813 11:54:48.573415  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.573423  6317 net.cpp:205] Created Layer relu6 (17)
I0813 11:54:48.573428  6317 net.cpp:577] relu6 <- fc6
I0813 11:54:48.573432  6317 net.cpp:532] relu6 -> fc6 (in-place)
I0813 11:54:48.573438  6317 net.cpp:265] Setting up relu6
I0813 11:54:48.573441  6317 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0813 11:54:48.573444  6317 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0813 11:54:48.573449  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.573455  6317 net.cpp:205] Created Layer drop6 (18)
I0813 11:54:48.573458  6317 net.cpp:577] drop6 <- fc6
I0813 11:54:48.573462  6317 net.cpp:532] drop6 -> fc6 (in-place)
I0813 11:54:48.573467  6317 net.cpp:265] Setting up drop6
I0813 11:54:48.573470  6317 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0813 11:54:48.573474  6317 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0813 11:54:48.573477  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.573483  6317 net.cpp:205] Created Layer fc7 (19)
I0813 11:54:48.573487  6317 net.cpp:577] fc7 <- fc6
I0813 11:54:48.573490  6317 net.cpp:547] fc7 -> fc7
I0813 11:54:48.675756  6317 net.cpp:265] Setting up fc7
I0813 11:54:48.675781  6317 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0813 11:54:48.675801  6317 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0813 11:54:48.675806  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.675814  6317 net.cpp:205] Created Layer relu7 (20)
I0813 11:54:48.675818  6317 net.cpp:577] relu7 <- fc7
I0813 11:54:48.675822  6317 net.cpp:532] relu7 -> fc7 (in-place)
I0813 11:54:48.675827  6317 net.cpp:265] Setting up relu7
I0813 11:54:48.675829  6317 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0813 11:54:48.675833  6317 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0813 11:54:48.675837  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.675844  6317 net.cpp:205] Created Layer drop7 (21)
I0813 11:54:48.675848  6317 net.cpp:577] drop7 <- fc7
I0813 11:54:48.675849  6317 net.cpp:532] drop7 -> fc7 (in-place)
I0813 11:54:48.675855  6317 net.cpp:265] Setting up drop7
I0813 11:54:48.675858  6317 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0813 11:54:48.675861  6317 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0813 11:54:48.675864  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.675870  6317 net.cpp:205] Created Layer fc8 (22)
I0813 11:54:48.675887  6317 net.cpp:577] fc8 <- fc7
I0813 11:54:48.675890  6317 net.cpp:547] fc8 -> fc8
I0813 11:54:48.700850  6317 net.cpp:265] Setting up fc8
I0813 11:54:48.700870  6317 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0813 11:54:48.700888  6317 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0813 11:54:48.700894  6317 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0813 11:54:48.700906  6317 net.cpp:205] Created Layer prob (23)
I0813 11:54:48.700911  6317 net.cpp:577] prob <- fc8
I0813 11:54:48.700915  6317 net.cpp:547] prob -> prob
I0813 11:54:48.700930  6317 net.cpp:265] Setting up prob
I0813 11:54:48.700933  6317 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0813 11:54:48.700958  6317 net.cpp:343] prob does not need backward computation.
I0813 11:54:48.700963  6317 net.cpp:343] fc8 does not need backward computation.
I0813 11:54:48.700966  6317 net.cpp:343] drop7 does not need backward computation.
I0813 11:54:48.700969  6317 net.cpp:343] relu7 does not need backward computation.
I0813 11:54:48.700973  6317 net.cpp:343] fc7 does not need backward computation.
I0813 11:54:48.700978  6317 net.cpp:343] drop6 does not need backward computation.
I0813 11:54:48.700981  6317 net.cpp:343] relu6 does not need backward computation.
I0813 11:54:48.700985  6317 net.cpp:343] fc6 does not need backward computation.
I0813 11:54:48.700997  6317 net.cpp:343] pool5 does not need backward computation.
I0813 11:54:48.701000  6317 net.cpp:343] relu5 does not need backward computation.
I0813 11:54:48.701004  6317 net.cpp:343] conv5 does not need backward computation.
I0813 11:54:48.701009  6317 net.cpp:343] relu4 does not need backward computation.
I0813 11:54:48.701012  6317 net.cpp:343] conv4 does not need backward computation.
I0813 11:54:48.701015  6317 net.cpp:343] relu3 does not need backward computation.
I0813 11:54:48.701018  6317 net.cpp:343] conv3 does not need backward computation.
I0813 11:54:48.701023  6317 net.cpp:343] norm2 does not need backward computation.
I0813 11:54:48.701027  6317 net.cpp:343] pool2 does not need backward computation.
I0813 11:54:48.701031  6317 net.cpp:343] relu2 does not need backward computation.
I0813 11:54:48.701035  6317 net.cpp:343] conv2 does not need backward computation.
I0813 11:54:48.701038  6317 net.cpp:343] norm1 does not need backward computation.
I0813 11:54:48.701042  6317 net.cpp:343] pool1 does not need backward computation.
I0813 11:54:48.701046  6317 net.cpp:343] relu1 does not need backward computation.
I0813 11:54:48.701050  6317 net.cpp:343] conv1 does not need backward computation.
I0813 11:54:48.701054  6317 net.cpp:343] data does not need backward computation.
I0813 11:54:48.701057  6317 net.cpp:385] This network produces output prob
I0813 11:54:48.701071  6317 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0813 11:54:48.701076  6317 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0813 11:54:48.701077  6317 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0813 11:54:48.701081  6317 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 243860896
I0813 11:54:48.701084  6317 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0813 11:54:48.701086  6317 net.cpp:426] Network initialization done.
I0813 11:54:48.774591  6317 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0813 11:54:48.774614  6317 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0813 11:54:48.774619  6317 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0813 11:54:48.774633  6317 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: ../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0813 11:54:48.893983  6317 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0813 11:54:48.897544  6317 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0813 11:54:48.897552  6317 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0813 11:54:48.897891  6317 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0813 11:54:48.897895  6317 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0813 11:54:48.897898  6317 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0813 11:54:48.897902  6317 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0813 11:54:48.900985  6317 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0813 11:54:48.901010  6317 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0813 11:54:48.901012  6317 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0813 11:54:48.901015  6317 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0813 11:54:48.909281  6317 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0813 11:54:48.909286  6317 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0813 11:54:48.915896  6317 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0813 11:54:48.915901  6317 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0813 11:54:48.920101  6317 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0813 11:54:48.920106  6317 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0813 11:54:48.920109  6317 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0813 11:54:49.272478  6317 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0813 11:54:49.272502  6317 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0813 11:54:49.272505  6317 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0813 11:54:49.431002  6317 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0813 11:54:49.431025  6317 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0813 11:54:49.431027  6317 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0813 11:54:49.468545  6317 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0008.jpg
Classifying 1 inputs.
Done in 0.56 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 | 99.1%
#2 | n02488702 colobus, colobus monkey |  0.2%
#3 | n02500267 indri, indris, Indri indri, Indri brevicaudatus |  0.1%
chibi@1604:~/caffe$