chibi@2204:~/caffe$ cd python; python classify.py --raw_scale 255 ../101_ObjectCategories/panda/image_0002.jpg ../result.npy; cd ..
/usr/lib/python3/dist-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.4
  warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion}"
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0129 19:28:05.433301  7129 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0129 19:28:05.576665  7129 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0129 19:28:05.576905  7129 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0129 19:28:05.576913  7129 _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')
I0129 19:28:05.577157  7129 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"
}
I0129 19:28:05.577376  7129 net.cpp:116] Using FLOAT as default forward math type
I0129 19:28:05.577383  7129 net.cpp:122] Using FLOAT as default backward math type
I0129 19:28:05.577387  7129 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0129 19:28:05.577392  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577409  7129 net.cpp:205] Created Layer data (0)
I0129 19:28:05.577417  7129 net.cpp:547] data -> data
I0129 19:28:05.577435  7129 net.cpp:265] Setting up data
I0129 19:28:05.577440  7129 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0129 19:28:05.577451  7129 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0129 19:28:05.577457  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577487  7129 net.cpp:205] Created Layer conv1 (1)
I0129 19:28:05.577493  7129 net.cpp:577] conv1 <- data
I0129 19:28:05.577497  7129 net.cpp:547] conv1 -> conv1
I0129 19:28:05.577788  7129 net.cpp:265] Setting up conv1
I0129 19:28:05.577793  7129 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0129 19:28:05.577811  7129 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0129 19:28:05.577816  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577821  7129 net.cpp:205] Created Layer relu1 (2)
I0129 19:28:05.577826  7129 net.cpp:577] relu1 <- conv1
I0129 19:28:05.577832  7129 net.cpp:532] relu1 -> conv1 (in-place)
I0129 19:28:05.577837  7129 net.cpp:265] Setting up relu1
I0129 19:28:05.577841  7129 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0129 19:28:05.577847  7129 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0129 19:28:05.577852  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577860  7129 net.cpp:205] Created Layer pool1 (3)
I0129 19:28:05.577865  7129 net.cpp:577] pool1 <- conv1
I0129 19:28:05.577870  7129 net.cpp:547] pool1 -> pool1
I0129 19:28:05.577885  7129 net.cpp:265] Setting up pool1
I0129 19:28:05.577889  7129 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0129 19:28:05.577893  7129 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0129 19:28:05.577899  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577909  7129 net.cpp:205] Created Layer norm1 (4)
I0129 19:28:05.577913  7129 net.cpp:577] norm1 <- pool1
I0129 19:28:05.577916  7129 net.cpp:547] norm1 -> norm1
I0129 19:28:05.577927  7129 net.cpp:265] Setting up norm1
I0129 19:28:05.577931  7129 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0129 19:28:05.577936  7129 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0129 19:28:05.577942  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.577950  7129 net.cpp:205] Created Layer conv2 (5)
I0129 19:28:05.577955  7129 net.cpp:577] conv2 <- norm1
I0129 19:28:05.577958  7129 net.cpp:547] conv2 -> conv2
I0129 19:28:05.580168  7129 net.cpp:265] Setting up conv2
I0129 19:28:05.580175  7129 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0129 19:28:05.580183  7129 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0129 19:28:05.580188  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.580195  7129 net.cpp:205] Created Layer relu2 (6)
I0129 19:28:05.580199  7129 net.cpp:577] relu2 <- conv2
I0129 19:28:05.580204  7129 net.cpp:532] relu2 -> conv2 (in-place)
I0129 19:28:05.580209  7129 net.cpp:265] Setting up relu2
I0129 19:28:05.580211  7129 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0129 19:28:05.580215  7129 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0129 19:28:05.580220  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.580227  7129 net.cpp:205] Created Layer pool2 (7)
I0129 19:28:05.580232  7129 net.cpp:577] pool2 <- conv2
I0129 19:28:05.580236  7129 net.cpp:547] pool2 -> pool2
I0129 19:28:05.580243  7129 net.cpp:265] Setting up pool2
I0129 19:28:05.580247  7129 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0129 19:28:05.580252  7129 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0129 19:28:05.580257  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.580267  7129 net.cpp:205] Created Layer norm2 (8)
I0129 19:28:05.580272  7129 net.cpp:577] norm2 <- pool2
I0129 19:28:05.580276  7129 net.cpp:547] norm2 -> norm2
I0129 19:28:05.580295  7129 net.cpp:265] Setting up norm2
I0129 19:28:05.580299  7129 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0129 19:28:05.580312  7129 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0129 19:28:05.580315  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.580322  7129 net.cpp:205] Created Layer conv3 (9)
I0129 19:28:05.580327  7129 net.cpp:577] conv3 <- norm2
I0129 19:28:05.580330  7129 net.cpp:547] conv3 -> conv3
I0129 19:28:05.586172  7129 net.cpp:265] Setting up conv3
I0129 19:28:05.586185  7129 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0129 19:28:05.586191  7129 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0129 19:28:05.586196  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.586201  7129 net.cpp:205] Created Layer relu3 (10)
I0129 19:28:05.586208  7129 net.cpp:577] relu3 <- conv3
I0129 19:28:05.586213  7129 net.cpp:532] relu3 -> conv3 (in-place)
I0129 19:28:05.586218  7129 net.cpp:265] Setting up relu3
I0129 19:28:05.586223  7129 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0129 19:28:05.586227  7129 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0129 19:28:05.586231  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.586244  7129 net.cpp:205] Created Layer conv4 (11)
I0129 19:28:05.586248  7129 net.cpp:577] conv4 <- conv3
I0129 19:28:05.586252  7129 net.cpp:547] conv4 -> conv4
I0129 19:28:05.590704  7129 net.cpp:265] Setting up conv4
I0129 19:28:05.590713  7129 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0129 19:28:05.590719  7129 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0129 19:28:05.590723  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.590728  7129 net.cpp:205] Created Layer relu4 (12)
I0129 19:28:05.590734  7129 net.cpp:577] relu4 <- conv4
I0129 19:28:05.590739  7129 net.cpp:532] relu4 -> conv4 (in-place)
I0129 19:28:05.590742  7129 net.cpp:265] Setting up relu4
I0129 19:28:05.590747  7129 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0129 19:28:05.590751  7129 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0129 19:28:05.590757  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.590765  7129 net.cpp:205] Created Layer conv5 (13)
I0129 19:28:05.590770  7129 net.cpp:577] conv5 <- conv4
I0129 19:28:05.590772  7129 net.cpp:547] conv5 -> conv5
I0129 19:28:05.593796  7129 net.cpp:265] Setting up conv5
I0129 19:28:05.593803  7129 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0129 19:28:05.593808  7129 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0129 19:28:05.593813  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.593817  7129 net.cpp:205] Created Layer relu5 (14)
I0129 19:28:05.593822  7129 net.cpp:577] relu5 <- conv5
I0129 19:28:05.593827  7129 net.cpp:532] relu5 -> conv5 (in-place)
I0129 19:28:05.593830  7129 net.cpp:265] Setting up relu5
I0129 19:28:05.593833  7129 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0129 19:28:05.593837  7129 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0129 19:28:05.593842  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.593852  7129 net.cpp:205] Created Layer pool5 (15)
I0129 19:28:05.593856  7129 net.cpp:577] pool5 <- conv5
I0129 19:28:05.593860  7129 net.cpp:547] pool5 -> pool5
I0129 19:28:05.593865  7129 net.cpp:265] Setting up pool5
I0129 19:28:05.593869  7129 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0129 19:28:05.593874  7129 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0129 19:28:05.593878  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.593902  7129 net.cpp:205] Created Layer fc6 (16)
I0129 19:28:05.593905  7129 net.cpp:577] fc6 <- pool5
I0129 19:28:05.593909  7129 net.cpp:547] fc6 -> fc6
I0129 19:28:05.856241  7129 net.cpp:265] Setting up fc6
I0129 19:28:05.856287  7129 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0129 19:28:05.856318  7129 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0129 19:28:05.856328  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.856341  7129 net.cpp:205] Created Layer relu6 (17)
I0129 19:28:05.856348  7129 net.cpp:577] relu6 <- fc6
I0129 19:28:05.856359  7129 net.cpp:532] relu6 -> fc6 (in-place)
I0129 19:28:05.856365  7129 net.cpp:265] Setting up relu6
I0129 19:28:05.856369  7129 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0129 19:28:05.856374  7129 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0129 19:28:05.856380  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.856388  7129 net.cpp:205] Created Layer drop6 (18)
I0129 19:28:05.856392  7129 net.cpp:577] drop6 <- fc6
I0129 19:28:05.856396  7129 net.cpp:532] drop6 -> fc6 (in-place)
I0129 19:28:05.856401  7129 net.cpp:265] Setting up drop6
I0129 19:28:05.856405  7129 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0129 19:28:05.856410  7129 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0129 19:28:05.856415  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.856420  7129 net.cpp:205] Created Layer fc7 (19)
I0129 19:28:05.856424  7129 net.cpp:577] fc7 <- fc6
I0129 19:28:05.856428  7129 net.cpp:547] fc7 -> fc7
I0129 19:28:05.970988  7129 net.cpp:265] Setting up fc7
I0129 19:28:05.971016  7129 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0129 19:28:05.971026  7129 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0129 19:28:05.971031  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.971040  7129 net.cpp:205] Created Layer relu7 (20)
I0129 19:28:05.971043  7129 net.cpp:577] relu7 <- fc7
I0129 19:28:05.971050  7129 net.cpp:532] relu7 -> fc7 (in-place)
I0129 19:28:05.971053  7129 net.cpp:265] Setting up relu7
I0129 19:28:05.971056  7129 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0129 19:28:05.971061  7129 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0129 19:28:05.971065  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.971072  7129 net.cpp:205] Created Layer drop7 (21)
I0129 19:28:05.971076  7129 net.cpp:577] drop7 <- fc7
I0129 19:28:05.971079  7129 net.cpp:532] drop7 -> fc7 (in-place)
I0129 19:28:05.971083  7129 net.cpp:265] Setting up drop7
I0129 19:28:05.971087  7129 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0129 19:28:05.971091  7129 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0129 19:28:05.971094  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.971100  7129 net.cpp:205] Created Layer fc8 (22)
I0129 19:28:05.971103  7129 net.cpp:577] fc8 <- fc7
I0129 19:28:05.971107  7129 net.cpp:547] fc8 -> fc8
I0129 19:28:05.997948  7129 net.cpp:265] Setting up fc8
I0129 19:28:05.997967  7129 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0129 19:28:05.997974  7129 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0129 19:28:05.997983  7129 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0129 19:28:05.998003  7129 net.cpp:205] Created Layer prob (23)
I0129 19:28:05.998008  7129 net.cpp:577] prob <- fc8
I0129 19:28:05.998013  7129 net.cpp:547] prob -> prob
I0129 19:28:05.998030  7129 net.cpp:265] Setting up prob
I0129 19:28:05.998034  7129 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0129 19:28:05.998096  7129 net.cpp:343] prob does not need backward computation.
I0129 19:28:05.998100  7129 net.cpp:343] fc8 does not need backward computation.
I0129 19:28:05.998104  7129 net.cpp:343] drop7 does not need backward computation.
I0129 19:28:05.998107  7129 net.cpp:343] relu7 does not need backward computation.
I0129 19:28:05.998111  7129 net.cpp:343] fc7 does not need backward computation.
I0129 19:28:05.998114  7129 net.cpp:343] drop6 does not need backward computation.
I0129 19:28:05.998118  7129 net.cpp:343] relu6 does not need backward computation.
I0129 19:28:05.998124  7129 net.cpp:343] fc6 does not need backward computation.
I0129 19:28:05.998132  7129 net.cpp:343] pool5 does not need backward computation.
I0129 19:28:05.998136  7129 net.cpp:343] relu5 does not need backward computation.
I0129 19:28:05.998142  7129 net.cpp:343] conv5 does not need backward computation.
I0129 19:28:05.998152  7129 net.cpp:343] relu4 does not need backward computation.
I0129 19:28:05.998160  7129 net.cpp:343] conv4 does not need backward computation.
I0129 19:28:05.998167  7129 net.cpp:343] relu3 does not need backward computation.
I0129 19:28:05.998172  7129 net.cpp:343] conv3 does not need backward computation.
I0129 19:28:05.998176  7129 net.cpp:343] norm2 does not need backward computation.
I0129 19:28:05.998185  7129 net.cpp:343] pool2 does not need backward computation.
I0129 19:28:05.998193  7129 net.cpp:343] relu2 does not need backward computation.
I0129 19:28:05.998200  7129 net.cpp:343] conv2 does not need backward computation.
I0129 19:28:05.998206  7129 net.cpp:343] norm1 does not need backward computation.
I0129 19:28:05.998212  7129 net.cpp:343] pool1 does not need backward computation.
I0129 19:28:05.998217  7129 net.cpp:343] relu1 does not need backward computation.
I0129 19:28:05.998221  7129 net.cpp:343] conv1 does not need backward computation.
I0129 19:28:05.998227  7129 net.cpp:343] data does not need backward computation.
I0129 19:28:05.998231  7129 net.cpp:385] This network produces output prob
I0129 19:28:05.998250  7129 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0129 19:28:05.998255  7129 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0129 19:28:05.998257  7129 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0129 19:28:05.998260  7129 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0129 19:28:05.998265  7129 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0129 19:28:05.998268  7129 net.cpp:426] Network initialization done.
I0129 19:28:06.261883  7129 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
I0129 19:28:06.261926  7129 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0129 19:28:06.261930  7129 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0129 19:28:06.261981  7129 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
I0129 19:28:06.491133  7129 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0129 19:28:06.502281  7129 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0129 19:28:06.502297  7129 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0129 19:28:06.502560  7129 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0129 19:28:06.502565  7129 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0129 19:28:06.502569  7129 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0129 19:28:06.502573  7129 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0129 19:28:06.504585  7129 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0129 19:28:06.504593  7129 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0129 19:28:06.504596  7129 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0129 19:28:06.504599  7129 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0129 19:28:06.510257  7129 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0129 19:28:06.510272  7129 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0129 19:28:06.514531  7129 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0129 19:28:06.514539  7129 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0129 19:28:06.517370  7129 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0129 19:28:06.517377  7129 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0129 19:28:06.517380  7129 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0129 19:28:06.709515  7129 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0129 19:28:06.709548  7129 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0129 19:28:06.709551  7129 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0129 19:28:06.796499  7129 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0129 19:28:06.796530  7129 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0129 19:28:06.796533  7129 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0129 19:28:06.817755  7129 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/panda/image_0002.jpg
Classifying 1 inputs.
Done in 0.32 s.
Saving results into ../result.npy
chibi@2204:~/caffe$ python3 show_result_py3.py data/ilsvrc12/synset_words.txt result.npy
#1 | giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca | 99.9%
#2 | Old English sheepdog, bobtail | 0.0%
#3 | kuvasz | 0.0%
#4 | Sealyham terrier, Sealyham | 0.0%
#5 | teddy, teddy bear | 0.0%
chibi@2204:~/caffe$