chibi@2204:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0007.jpg ../result.npy; cd ..
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0910 06:32:24.120690  3861 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0910 06:32:24.289999  3861 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0910 06:32:24.290248  3861 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0910 06:32:24.290257  3861 _caffe.cpp:175] Net('/home/chibi/caffe/python/../models/bvlc_reference_caffenet/deploy.prototxt', 1, weights='/home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel')
I0910 06:32:24.290575  3861 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"
}
I0910 06:32:24.290850  3861 net.cpp:116] Using FLOAT as default forward math type
I0910 06:32:24.290858  3861 net.cpp:122] Using FLOAT as default backward math type
I0910 06:32:24.290863  3861 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0910 06:32:24.290867  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.290881  3861 net.cpp:205] Created Layer data (0)
I0910 06:32:24.290899  3861 net.cpp:547] data -> data
I0910 06:32:24.290927  3861 net.cpp:265] Setting up data
I0910 06:32:24.290933  3861 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0910 06:32:24.290947  3861 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0910 06:32:24.290952  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.290987  3861 net.cpp:205] Created Layer conv1 (1)
I0910 06:32:24.290993  3861 net.cpp:577] conv1 <- data
I0910 06:32:24.290998  3861 net.cpp:547] conv1 -> conv1
I0910 06:32:24.291368  3861 net.cpp:265] Setting up conv1
I0910 06:32:24.291373  3861 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0910 06:32:24.291393  3861 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0910 06:32:24.291397  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.291404  3861 net.cpp:205] Created Layer relu1 (2)
I0910 06:32:24.291409  3861 net.cpp:577] relu1 <- conv1
I0910 06:32:24.291414  3861 net.cpp:532] relu1 -> conv1 (in-place)
I0910 06:32:24.291419  3861 net.cpp:265] Setting up relu1
I0910 06:32:24.291424  3861 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0910 06:32:24.291429  3861 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0910 06:32:24.291435  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.291440  3861 net.cpp:205] Created Layer pool1 (3)
I0910 06:32:24.291445  3861 net.cpp:577] pool1 <- conv1
I0910 06:32:24.291450  3861 net.cpp:547] pool1 -> pool1
I0910 06:32:24.291467  3861 net.cpp:265] Setting up pool1
I0910 06:32:24.291472  3861 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0910 06:32:24.291477  3861 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0910 06:32:24.291482  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.291492  3861 net.cpp:205] Created Layer norm1 (4)
I0910 06:32:24.291497  3861 net.cpp:577] norm1 <- pool1
I0910 06:32:24.291501  3861 net.cpp:547] norm1 -> norm1
I0910 06:32:24.291513  3861 net.cpp:265] Setting up norm1
I0910 06:32:24.291518  3861 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0910 06:32:24.291523  3861 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0910 06:32:24.291527  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.291536  3861 net.cpp:205] Created Layer conv2 (5)
I0910 06:32:24.291541  3861 net.cpp:577] conv2 <- norm1
I0910 06:32:24.291546  3861 net.cpp:547] conv2 -> conv2
I0910 06:32:24.294384  3861 net.cpp:265] Setting up conv2
I0910 06:32:24.294389  3861 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0910 06:32:24.294397  3861 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0910 06:32:24.294402  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.294410  3861 net.cpp:205] Created Layer relu2 (6)
I0910 06:32:24.294415  3861 net.cpp:577] relu2 <- conv2
I0910 06:32:24.294420  3861 net.cpp:532] relu2 -> conv2 (in-place)
I0910 06:32:24.294425  3861 net.cpp:265] Setting up relu2
I0910 06:32:24.294428  3861 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0910 06:32:24.294435  3861 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0910 06:32:24.294440  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.294446  3861 net.cpp:205] Created Layer pool2 (7)
I0910 06:32:24.294450  3861 net.cpp:577] pool2 <- conv2
I0910 06:32:24.294456  3861 net.cpp:547] pool2 -> pool2
I0910 06:32:24.294461  3861 net.cpp:265] Setting up pool2
I0910 06:32:24.294466  3861 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0910 06:32:24.294471  3861 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0910 06:32:24.294476  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.294484  3861 net.cpp:205] Created Layer norm2 (8)
I0910 06:32:24.294488  3861 net.cpp:577] norm2 <- pool2
I0910 06:32:24.294492  3861 net.cpp:547] norm2 -> norm2
I0910 06:32:24.294517  3861 net.cpp:265] Setting up norm2
I0910 06:32:24.294521  3861 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0910 06:32:24.294528  3861 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0910 06:32:24.294531  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.294540  3861 net.cpp:205] Created Layer conv3 (9)
I0910 06:32:24.294545  3861 net.cpp:577] conv3 <- norm2
I0910 06:32:24.294549  3861 net.cpp:547] conv3 -> conv3
I0910 06:32:24.302740  3861 net.cpp:265] Setting up conv3
I0910 06:32:24.302747  3861 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0910 06:32:24.302754  3861 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0910 06:32:24.302759  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.302764  3861 net.cpp:205] Created Layer relu3 (10)
I0910 06:32:24.302768  3861 net.cpp:577] relu3 <- conv3
I0910 06:32:24.302772  3861 net.cpp:532] relu3 -> conv3 (in-place)
I0910 06:32:24.302778  3861 net.cpp:265] Setting up relu3
I0910 06:32:24.302783  3861 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0910 06:32:24.302788  3861 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0910 06:32:24.302791  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.302799  3861 net.cpp:205] Created Layer conv4 (11)
I0910 06:32:24.302804  3861 net.cpp:577] conv4 <- conv3
I0910 06:32:24.302809  3861 net.cpp:547] conv4 -> conv4
I0910 06:32:24.308974  3861 net.cpp:265] Setting up conv4
I0910 06:32:24.308981  3861 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0910 06:32:24.308988  3861 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0910 06:32:24.308992  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.308997  3861 net.cpp:205] Created Layer relu4 (12)
I0910 06:32:24.309001  3861 net.cpp:577] relu4 <- conv4
I0910 06:32:24.309005  3861 net.cpp:532] relu4 -> conv4 (in-place)
I0910 06:32:24.309010  3861 net.cpp:265] Setting up relu4
I0910 06:32:24.309015  3861 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0910 06:32:24.309024  3861 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0910 06:32:24.309028  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.309039  3861 net.cpp:205] Created Layer conv5 (13)
I0910 06:32:24.309044  3861 net.cpp:577] conv5 <- conv4
I0910 06:32:24.309048  3861 net.cpp:547] conv5 -> conv5
I0910 06:32:24.313127  3861 net.cpp:265] Setting up conv5
I0910 06:32:24.313133  3861 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0910 06:32:24.313140  3861 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0910 06:32:24.313145  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.313150  3861 net.cpp:205] Created Layer relu5 (14)
I0910 06:32:24.313154  3861 net.cpp:577] relu5 <- conv5
I0910 06:32:24.313158  3861 net.cpp:532] relu5 -> conv5 (in-place)
I0910 06:32:24.313162  3861 net.cpp:265] Setting up relu5
I0910 06:32:24.313167  3861 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0910 06:32:24.313175  3861 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0910 06:32:24.313179  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.313186  3861 net.cpp:205] Created Layer pool5 (15)
I0910 06:32:24.313190  3861 net.cpp:577] pool5 <- conv5
I0910 06:32:24.313195  3861 net.cpp:547] pool5 -> pool5
I0910 06:32:24.313201  3861 net.cpp:265] Setting up pool5
I0910 06:32:24.313205  3861 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0910 06:32:24.313210  3861 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0910 06:32:24.313215  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.313324  3861 net.cpp:205] Created Layer fc6 (16)
I0910 06:32:24.313329  3861 net.cpp:577] fc6 <- pool5
I0910 06:32:24.313334  3861 net.cpp:547] fc6 -> fc6
I0910 06:32:24.660524  3861 net.cpp:265] Setting up fc6
I0910 06:32:24.660558  3861 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0910 06:32:24.660573  3861 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0910 06:32:24.660580  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.660591  3861 net.cpp:205] Created Layer relu6 (17)
I0910 06:32:24.660598  3861 net.cpp:577] relu6 <- fc6
I0910 06:32:24.660604  3861 net.cpp:532] relu6 -> fc6 (in-place)
I0910 06:32:24.660615  3861 net.cpp:265] Setting up relu6
I0910 06:32:24.660622  3861 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0910 06:32:24.660629  3861 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0910 06:32:24.660634  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.660641  3861 net.cpp:205] Created Layer drop6 (18)
I0910 06:32:24.660648  3861 net.cpp:577] drop6 <- fc6
I0910 06:32:24.660653  3861 net.cpp:532] drop6 -> fc6 (in-place)
I0910 06:32:24.660660  3861 net.cpp:265] Setting up drop6
I0910 06:32:24.660663  3861 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0910 06:32:24.660669  3861 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0910 06:32:24.660676  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.660686  3861 net.cpp:205] Created Layer fc7 (19)
I0910 06:32:24.660691  3861 net.cpp:577] fc7 <- fc6
I0910 06:32:24.660696  3861 net.cpp:547] fc7 -> fc7
I0910 06:32:24.815568  3861 net.cpp:265] Setting up fc7
I0910 06:32:24.815598  3861 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0910 06:32:24.815611  3861 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0910 06:32:24.815618  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.815626  3861 net.cpp:205] Created Layer relu7 (20)
I0910 06:32:24.815631  3861 net.cpp:577] relu7 <- fc7
I0910 06:32:24.815639  3861 net.cpp:532] relu7 -> fc7 (in-place)
I0910 06:32:24.815646  3861 net.cpp:265] Setting up relu7
I0910 06:32:24.815650  3861 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0910 06:32:24.815655  3861 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0910 06:32:24.815660  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.815665  3861 net.cpp:205] Created Layer drop7 (21)
I0910 06:32:24.815670  3861 net.cpp:577] drop7 <- fc7
I0910 06:32:24.815675  3861 net.cpp:532] drop7 -> fc7 (in-place)
I0910 06:32:24.815680  3861 net.cpp:265] Setting up drop7
I0910 06:32:24.815685  3861 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0910 06:32:24.815690  3861 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0910 06:32:24.815694  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.815701  3861 net.cpp:205] Created Layer fc8 (22)
I0910 06:32:24.815706  3861 net.cpp:577] fc8 <- fc7
I0910 06:32:24.815711  3861 net.cpp:547] fc8 -> fc8
I0910 06:32:24.853276  3861 net.cpp:265] Setting up fc8
I0910 06:32:24.853304  3861 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0910 06:32:24.853318  3861 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0910 06:32:24.853325  3861 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0910 06:32:24.853354  3861 net.cpp:205] Created Layer prob (23)
I0910 06:32:24.853360  3861 net.cpp:577] prob <- fc8
I0910 06:32:24.853366  3861 net.cpp:547] prob -> prob
I0910 06:32:24.853389  3861 net.cpp:265] Setting up prob
I0910 06:32:24.853394  3861 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0910 06:32:24.853443  3861 net.cpp:343] prob does not need backward computation.
I0910 06:32:24.853448  3861 net.cpp:343] fc8 does not need backward computation.
I0910 06:32:24.853454  3861 net.cpp:343] drop7 does not need backward computation.
I0910 06:32:24.853459  3861 net.cpp:343] relu7 does not need backward computation.
I0910 06:32:24.853463  3861 net.cpp:343] fc7 does not need backward computation.
I0910 06:32:24.853471  3861 net.cpp:343] drop6 does not need backward computation.
I0910 06:32:24.853477  3861 net.cpp:343] relu6 does not need backward computation.
I0910 06:32:24.853480  3861 net.cpp:343] fc6 does not need backward computation.
I0910 06:32:24.853485  3861 net.cpp:343] pool5 does not need backward computation.
I0910 06:32:24.853492  3861 net.cpp:343] relu5 does not need backward computation.
I0910 06:32:24.853497  3861 net.cpp:343] conv5 does not need backward computation.
I0910 06:32:24.853502  3861 net.cpp:343] relu4 does not need backward computation.
I0910 06:32:24.853507  3861 net.cpp:343] conv4 does not need backward computation.
I0910 06:32:24.853513  3861 net.cpp:343] relu3 does not need backward computation.
I0910 06:32:24.853518  3861 net.cpp:343] conv3 does not need backward computation.
I0910 06:32:24.853523  3861 net.cpp:343] norm2 does not need backward computation.
I0910 06:32:24.853530  3861 net.cpp:343] pool2 does not need backward computation.
I0910 06:32:24.853536  3861 net.cpp:343] relu2 does not need backward computation.
I0910 06:32:24.853543  3861 net.cpp:343] conv2 does not need backward computation.
I0910 06:32:24.853549  3861 net.cpp:343] norm1 does not need backward computation.
I0910 06:32:24.853557  3861 net.cpp:343] pool1 does not need backward computation.
I0910 06:32:24.853562  3861 net.cpp:343] relu1 does not need backward computation.
I0910 06:32:24.853566  3861 net.cpp:343] conv1 does not need backward computation.
I0910 06:32:24.853572  3861 net.cpp:343] data does not need backward computation.
I0910 06:32:24.853576  3861 net.cpp:385] This network produces output prob
I0910 06:32:24.853595  3861 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0910 06:32:24.853600  3861 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0910 06:32:24.853605  3861 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0910 06:32:24.853610  3861 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0910 06:32:24.853615  3861 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0910 06:32:24.853619  3861 net.cpp:426] Network initialization done.
I0910 06:32:25.181226  3861 upgrade_proto.cpp:43] Attempting to upgrade input file specified using deprecated transformation parameters: /home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0910 06:32:25.181263  3861 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0910 06:32:25.181268  3861 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0910 06:32:25.181304  3861 upgrade_proto.cpp:52] Attempting to upgrade input file specified using deprecated V1LayerParameter: /home/chibi/caffe/python/../models/bvlc_reference_caffenet/bvlc_reference_caffenet.caffemodel
I0910 06:32:25.479885  3861 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0910 06:32:25.501420  3861 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0910 06:32:25.501430  3861 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0910 06:32:25.501665  3861 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0910 06:32:25.501672  3861 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0910 06:32:25.501675  3861 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0910 06:32:25.501680  3861 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0910 06:32:25.503721  3861 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0910 06:32:25.503727  3861 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0910 06:32:25.503731  3861 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0910 06:32:25.503736  3861 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0910 06:32:25.509510  3861 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0910 06:32:25.509517  3861 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0910 06:32:25.513855  3861 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0910 06:32:25.513864  3861 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0910 06:32:25.516748  3861 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0910 06:32:25.516755  3861 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0910 06:32:25.516759  3861 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0910 06:32:25.762347  3861 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0910 06:32:25.762372  3861 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0910 06:32:25.762375  3861 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0910 06:32:25.871522  3861 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0910 06:32:25.871549  3861 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0910 06:32:25.871553  3861 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0910 06:32:25.898213  3861 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0007.jpg
Classifying 1 inputs.
Done in 0.47 s.
Saving results into ../result.npy
chibi@2204:~/caffe$ python show_result.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02510455 giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca | 99.6%
#2 | n02509815 lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens |  0.1%
#3 | n02107683 Bernese mountain dog |  0.1%
chibi@2204:~/caffe$