chibi@2204:~/caffe$ cd python; python3 classify.py --raw_scale 255 ../101_ObjectCategories/cougar_face/image_0026.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
I0221 04:56:06.749579  2506 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0221 04:56:06.889393  2506 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0221 04:56:06.889556  2506 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0221 04:56:06.889565  2506 _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')
I0221 04:56:06.889802  2506 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"
}
I0221 04:56:06.890007  2506 net.cpp:116] Using FLOAT as default forward math type
I0221 04:56:06.890017  2506 net.cpp:122] Using FLOAT as default backward math type
I0221 04:56:06.890021  2506 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0221 04:56:06.890026  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.890040  2506 net.cpp:205] Created Layer data (0)
I0221 04:56:06.890050  2506 net.cpp:547] data -> data
I0221 04:56:06.890074  2506 net.cpp:265] Setting up data
I0221 04:56:06.890080  2506 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0221 04:56:06.890095  2506 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0221 04:56:06.890105  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.890146  2506 net.cpp:205] Created Layer conv1 (1)
I0221 04:56:06.890156  2506 net.cpp:577] conv1 <- data
I0221 04:56:06.890167  2506 net.cpp:547] conv1 -> conv1
I0221 04:56:06.891309  2506 net.cpp:265] Setting up conv1
I0221 04:56:06.891316  2506 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0221 04:56:06.891333  2506 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0221 04:56:06.891337  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.891345  2506 net.cpp:205] Created Layer relu1 (2)
I0221 04:56:06.891351  2506 net.cpp:577] relu1 <- conv1
I0221 04:56:06.891360  2506 net.cpp:532] relu1 -> conv1 (in-place)
I0221 04:56:06.891369  2506 net.cpp:265] Setting up relu1
I0221 04:56:06.891378  2506 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0221 04:56:06.891389  2506 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0221 04:56:06.891398  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.891412  2506 net.cpp:205] Created Layer pool1 (3)
I0221 04:56:06.891422  2506 net.cpp:577] pool1 <- conv1
I0221 04:56:06.891433  2506 net.cpp:547] pool1 -> pool1
I0221 04:56:06.891453  2506 net.cpp:265] Setting up pool1
I0221 04:56:06.891462  2506 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0221 04:56:06.891474  2506 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0221 04:56:06.891484  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.891502  2506 net.cpp:205] Created Layer norm1 (4)
I0221 04:56:06.891511  2506 net.cpp:577] norm1 <- pool1
I0221 04:56:06.891521  2506 net.cpp:547] norm1 -> norm1
I0221 04:56:06.891541  2506 net.cpp:265] Setting up norm1
I0221 04:56:06.891552  2506 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0221 04:56:06.891564  2506 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0221 04:56:06.891574  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.891592  2506 net.cpp:205] Created Layer conv2 (5)
I0221 04:56:06.891601  2506 net.cpp:577] conv2 <- norm1
I0221 04:56:06.891613  2506 net.cpp:547] conv2 -> conv2
I0221 04:56:06.893671  2506 net.cpp:265] Setting up conv2
I0221 04:56:06.893679  2506 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0221 04:56:06.893687  2506 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0221 04:56:06.893692  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.893697  2506 net.cpp:205] Created Layer relu2 (6)
I0221 04:56:06.893702  2506 net.cpp:577] relu2 <- conv2
I0221 04:56:06.893707  2506 net.cpp:532] relu2 -> conv2 (in-place)
I0221 04:56:06.893713  2506 net.cpp:265] Setting up relu2
I0221 04:56:06.893723  2506 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0221 04:56:06.893731  2506 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0221 04:56:06.893738  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.893752  2506 net.cpp:205] Created Layer pool2 (7)
I0221 04:56:06.893761  2506 net.cpp:577] pool2 <- conv2
I0221 04:56:06.893771  2506 net.cpp:547] pool2 -> pool2
I0221 04:56:06.893783  2506 net.cpp:265] Setting up pool2
I0221 04:56:06.893790  2506 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0221 04:56:06.893802  2506 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0221 04:56:06.893810  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.893826  2506 net.cpp:205] Created Layer norm2 (8)
I0221 04:56:06.893834  2506 net.cpp:577] norm2 <- pool2
I0221 04:56:06.893842  2506 net.cpp:547] norm2 -> norm2
I0221 04:56:06.893867  2506 net.cpp:265] Setting up norm2
I0221 04:56:06.893877  2506 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0221 04:56:06.893889  2506 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0221 04:56:06.893898  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.893919  2506 net.cpp:205] Created Layer conv3 (9)
I0221 04:56:06.893929  2506 net.cpp:577] conv3 <- norm2
I0221 04:56:06.893939  2506 net.cpp:547] conv3 -> conv3
I0221 04:56:06.902036  2506 net.cpp:265] Setting up conv3
I0221 04:56:06.902045  2506 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0221 04:56:06.902053  2506 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0221 04:56:06.902058  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.902063  2506 net.cpp:205] Created Layer relu3 (10)
I0221 04:56:06.902068  2506 net.cpp:577] relu3 <- conv3
I0221 04:56:06.902072  2506 net.cpp:532] relu3 -> conv3 (in-place)
I0221 04:56:06.902081  2506 net.cpp:265] Setting up relu3
I0221 04:56:06.902088  2506 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0221 04:56:06.902098  2506 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0221 04:56:06.902105  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.902113  2506 net.cpp:205] Created Layer conv4 (11)
I0221 04:56:06.902117  2506 net.cpp:577] conv4 <- conv3
I0221 04:56:06.902124  2506 net.cpp:547] conv4 -> conv4
I0221 04:56:06.906562  2506 net.cpp:265] Setting up conv4
I0221 04:56:06.906571  2506 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0221 04:56:06.906579  2506 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0221 04:56:06.906584  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.906589  2506 net.cpp:205] Created Layer relu4 (12)
I0221 04:56:06.906594  2506 net.cpp:577] relu4 <- conv4
I0221 04:56:06.906597  2506 net.cpp:532] relu4 -> conv4 (in-place)
I0221 04:56:06.906605  2506 net.cpp:265] Setting up relu4
I0221 04:56:06.906613  2506 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0221 04:56:06.906623  2506 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0221 04:56:06.906630  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.906639  2506 net.cpp:205] Created Layer conv5 (13)
I0221 04:56:06.906644  2506 net.cpp:577] conv5 <- conv4
I0221 04:56:06.906651  2506 net.cpp:547] conv5 -> conv5
I0221 04:56:06.909503  2506 net.cpp:265] Setting up conv5
I0221 04:56:06.909511  2506 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0221 04:56:06.909519  2506 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0221 04:56:06.909523  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.909528  2506 net.cpp:205] Created Layer relu5 (14)
I0221 04:56:06.909533  2506 net.cpp:577] relu5 <- conv5
I0221 04:56:06.909538  2506 net.cpp:532] relu5 -> conv5 (in-place)
I0221 04:56:06.909545  2506 net.cpp:265] Setting up relu5
I0221 04:56:06.909554  2506 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0221 04:56:06.909562  2506 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0221 04:56:06.909570  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.909576  2506 net.cpp:205] Created Layer pool5 (15)
I0221 04:56:06.909583  2506 net.cpp:577] pool5 <- conv5
I0221 04:56:06.909592  2506 net.cpp:547] pool5 -> pool5
I0221 04:56:06.909610  2506 net.cpp:265] Setting up pool5
I0221 04:56:06.909619  2506 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0221 04:56:06.909632  2506 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0221 04:56:06.909641  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:06.909683  2506 net.cpp:205] Created Layer fc6 (16)
I0221 04:56:06.909693  2506 net.cpp:577] fc6 <- pool5
I0221 04:56:06.909701  2506 net.cpp:547] fc6 -> fc6
I0221 04:56:07.150792  2506 net.cpp:265] Setting up fc6
I0221 04:56:07.150812  2506 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0221 04:56:07.150827  2506 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0221 04:56:07.150832  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.150841  2506 net.cpp:205] Created Layer relu6 (17)
I0221 04:56:07.150849  2506 net.cpp:577] relu6 <- fc6
I0221 04:56:07.150861  2506 net.cpp:532] relu6 -> fc6 (in-place)
I0221 04:56:07.150869  2506 net.cpp:265] Setting up relu6
I0221 04:56:07.150875  2506 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0221 04:56:07.150884  2506 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0221 04:56:07.150894  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.150909  2506 net.cpp:205] Created Layer drop6 (18)
I0221 04:56:07.150919  2506 net.cpp:577] drop6 <- fc6
I0221 04:56:07.150928  2506 net.cpp:532] drop6 -> fc6 (in-place)
I0221 04:56:07.150938  2506 net.cpp:265] Setting up drop6
I0221 04:56:07.150945  2506 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0221 04:56:07.150954  2506 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0221 04:56:07.150961  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.150975  2506 net.cpp:205] Created Layer fc7 (19)
I0221 04:56:07.150985  2506 net.cpp:577] fc7 <- fc6
I0221 04:56:07.150995  2506 net.cpp:547] fc7 -> fc7
I0221 04:56:07.258231  2506 net.cpp:265] Setting up fc7
I0221 04:56:07.258250  2506 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0221 04:56:07.258263  2506 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0221 04:56:07.258268  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.258280  2506 net.cpp:205] Created Layer relu7 (20)
I0221 04:56:07.258288  2506 net.cpp:577] relu7 <- fc7
I0221 04:56:07.258299  2506 net.cpp:532] relu7 -> fc7 (in-place)
I0221 04:56:07.258308  2506 net.cpp:265] Setting up relu7
I0221 04:56:07.258314  2506 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0221 04:56:07.258322  2506 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0221 04:56:07.258332  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.258345  2506 net.cpp:205] Created Layer drop7 (21)
I0221 04:56:07.258353  2506 net.cpp:577] drop7 <- fc7
I0221 04:56:07.258366  2506 net.cpp:532] drop7 -> fc7 (in-place)
I0221 04:56:07.258378  2506 net.cpp:265] Setting up drop7
I0221 04:56:07.258384  2506 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0221 04:56:07.258396  2506 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0221 04:56:07.258404  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.258419  2506 net.cpp:205] Created Layer fc8 (22)
I0221 04:56:07.258426  2506 net.cpp:577] fc8 <- fc7
I0221 04:56:07.258435  2506 net.cpp:547] fc8 -> fc8
I0221 04:56:07.284632  2506 net.cpp:265] Setting up fc8
I0221 04:56:07.284650  2506 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0221 04:56:07.284662  2506 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0221 04:56:07.284668  2506 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:07.284680  2506 net.cpp:205] Created Layer prob (23)
I0221 04:56:07.284689  2506 net.cpp:577] prob <- fc8
I0221 04:56:07.284700  2506 net.cpp:547] prob -> prob
I0221 04:56:07.284732  2506 net.cpp:265] Setting up prob
I0221 04:56:07.284741  2506 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0221 04:56:07.284778  2506 net.cpp:343] prob does not need backward computation.
I0221 04:56:07.284788  2506 net.cpp:343] fc8 does not need backward computation.
I0221 04:56:07.284796  2506 net.cpp:343] drop7 does not need backward computation.
I0221 04:56:07.284806  2506 net.cpp:343] relu7 does not need backward computation.
I0221 04:56:07.284816  2506 net.cpp:343] fc7 does not need backward computation.
I0221 04:56:07.284824  2506 net.cpp:343] drop6 does not need backward computation.
I0221 04:56:07.284833  2506 net.cpp:343] relu6 does not need backward computation.
I0221 04:56:07.284843  2506 net.cpp:343] fc6 does not need backward computation.
I0221 04:56:07.284852  2506 net.cpp:343] pool5 does not need backward computation.
I0221 04:56:07.284862  2506 net.cpp:343] relu5 does not need backward computation.
I0221 04:56:07.284870  2506 net.cpp:343] conv5 does not need backward computation.
I0221 04:56:07.284879  2506 net.cpp:343] relu4 does not need backward computation.
I0221 04:56:07.284888  2506 net.cpp:343] conv4 does not need backward computation.
I0221 04:56:07.284897  2506 net.cpp:343] relu3 does not need backward computation.
I0221 04:56:07.284906  2506 net.cpp:343] conv3 does not need backward computation.
I0221 04:56:07.284916  2506 net.cpp:343] norm2 does not need backward computation.
I0221 04:56:07.284926  2506 net.cpp:343] pool2 does not need backward computation.
I0221 04:56:07.284935  2506 net.cpp:343] relu2 does not need backward computation.
I0221 04:56:07.284945  2506 net.cpp:343] conv2 does not need backward computation.
I0221 04:56:07.284955  2506 net.cpp:343] norm1 does not need backward computation.
I0221 04:56:07.284965  2506 net.cpp:343] pool1 does not need backward computation.
I0221 04:56:07.284973  2506 net.cpp:343] relu1 does not need backward computation.
I0221 04:56:07.284981  2506 net.cpp:343] conv1 does not need backward computation.
I0221 04:56:07.284991  2506 net.cpp:343] data does not need backward computation.
I0221 04:56:07.285000  2506 net.cpp:385] This network produces output prob
I0221 04:56:07.285029  2506 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0221 04:56:07.285038  2506 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0221 04:56:07.285045  2506 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0221 04:56:07.285053  2506 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0221 04:56:07.285061  2506 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0221 04:56:07.285070  2506 net.cpp:426] Network initialization done.
I0221 04:56:07.561777  2506 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
I0221 04:56:07.561800  2506 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0221 04:56:07.561805  2506 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0221 04:56:07.561828  2506 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
I0221 04:56:07.812788  2506 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0221 04:56:07.821203  2506 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0221 04:56:07.821214  2506 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0221 04:56:07.821424  2506 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0221 04:56:07.821431  2506 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0221 04:56:07.821435  2506 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0221 04:56:07.821439  2506 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0221 04:56:07.823042  2506 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0221 04:56:07.823050  2506 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0221 04:56:07.823055  2506 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0221 04:56:07.823060  2506 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0221 04:56:07.827580  2506 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0221 04:56:07.827589  2506 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0221 04:56:07.830938  2506 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0221 04:56:07.830946  2506 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0221 04:56:07.833213  2506 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0221 04:56:07.833221  2506 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0221 04:56:07.833225  2506 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0221 04:56:08.019860  2506 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0221 04:56:08.019868  2506 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0221 04:56:08.019873  2506 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0221 04:56:08.102897  2506 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0221 04:56:08.102907  2506 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0221 04:56:08.102911  2506 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0221 04:56:08.124135  2506 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/cougar_face/image_0026.jpg
Classifying 1 inputs.
Done in 0.28 s.
Saving results into ../result.npy
chibi@2204:~/caffe$ python3 show_result_py3.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02129165 lion, king of beasts, Panthera leo | 47.6%
#2 | n02125311 cougar, puma, catamount, mountain lion, painter, panther, Felis concolor | 24.4%
#3 | n02492660 howler monkey, howler |  7.2%
chibi@2204:~/caffe$ cd python; python3 classify.py --raw_scale 255 ../101_ObjectCategories/cougar_face/image_0006.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
I0221 04:56:47.647929  2536 gpu_memory.cpp:82] GPUMemory::Manager initialized
CPU mode
W0221 04:56:47.787454  2536 _caffe.cpp:172] DEPRECATION WARNING - deprecated use of Python interface
W0221 04:56:47.787621  2536 _caffe.cpp:173] Use this instead (with the named "weights" parameter):
W0221 04:56:47.787629  2536 _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')
I0221 04:56:47.787848  2536 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"
}
I0221 04:56:47.788025  2536 net.cpp:116] Using FLOAT as default forward math type
I0221 04:56:47.788033  2536 net.cpp:122] Using FLOAT as default backward math type
I0221 04:56:47.788038  2536 layer_factory.hpp:172] Creating layer 'data' of type 'Input'
I0221 04:56:47.788041  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788056  2536 net.cpp:205] Created Layer data (0)
I0221 04:56:47.788064  2536 net.cpp:547] data -> data
I0221 04:56:47.788080  2536 net.cpp:265] Setting up data
I0221 04:56:47.788086  2536 net.cpp:272] TEST Top shape for layer 0 'data' 10 3 227 227 (1545870)
I0221 04:56:47.788094  2536 layer_factory.hpp:172] Creating layer 'conv1' of type 'Convolution'
I0221 04:56:47.788100  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788122  2536 net.cpp:205] Created Layer conv1 (1)
I0221 04:56:47.788128  2536 net.cpp:577] conv1 <- data
I0221 04:56:47.788133  2536 net.cpp:547] conv1 -> conv1
I0221 04:56:47.788409  2536 net.cpp:265] Setting up conv1
I0221 04:56:47.788415  2536 net.cpp:272] TEST Top shape for layer 1 'conv1' 10 96 55 55 (2904000)
I0221 04:56:47.788432  2536 layer_factory.hpp:172] Creating layer 'relu1' of type 'ReLU'
I0221 04:56:47.788437  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788444  2536 net.cpp:205] Created Layer relu1 (2)
I0221 04:56:47.788448  2536 net.cpp:577] relu1 <- conv1
I0221 04:56:47.788453  2536 net.cpp:532] relu1 -> conv1 (in-place)
I0221 04:56:47.788460  2536 net.cpp:265] Setting up relu1
I0221 04:56:47.788463  2536 net.cpp:272] TEST Top shape for layer 2 'relu1' 10 96 55 55 (2904000)
I0221 04:56:47.788470  2536 layer_factory.hpp:172] Creating layer 'pool1' of type 'Pooling'
I0221 04:56:47.788473  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788479  2536 net.cpp:205] Created Layer pool1 (3)
I0221 04:56:47.788484  2536 net.cpp:577] pool1 <- conv1
I0221 04:56:47.788489  2536 net.cpp:547] pool1 -> pool1
I0221 04:56:47.788501  2536 net.cpp:265] Setting up pool1
I0221 04:56:47.788506  2536 net.cpp:272] TEST Top shape for layer 3 'pool1' 10 96 27 27 (699840)
I0221 04:56:47.788512  2536 layer_factory.hpp:172] Creating layer 'norm1' of type 'LRN'
I0221 04:56:47.788516  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788527  2536 net.cpp:205] Created Layer norm1 (4)
I0221 04:56:47.788530  2536 net.cpp:577] norm1 <- pool1
I0221 04:56:47.788535  2536 net.cpp:547] norm1 -> norm1
I0221 04:56:47.788545  2536 net.cpp:265] Setting up norm1
I0221 04:56:47.788550  2536 net.cpp:272] TEST Top shape for layer 4 'norm1' 10 96 27 27 (699840)
I0221 04:56:47.788555  2536 layer_factory.hpp:172] Creating layer 'conv2' of type 'Convolution'
I0221 04:56:47.788560  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.788568  2536 net.cpp:205] Created Layer conv2 (5)
I0221 04:56:47.788573  2536 net.cpp:577] conv2 <- norm1
I0221 04:56:47.788578  2536 net.cpp:547] conv2 -> conv2
I0221 04:56:47.790549  2536 net.cpp:265] Setting up conv2
I0221 04:56:47.790555  2536 net.cpp:272] TEST Top shape for layer 5 'conv2' 10 256 27 27 (1866240)
I0221 04:56:47.790562  2536 layer_factory.hpp:172] Creating layer 'relu2' of type 'ReLU'
I0221 04:56:47.790567  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.790572  2536 net.cpp:205] Created Layer relu2 (6)
I0221 04:56:47.790576  2536 net.cpp:577] relu2 <- conv2
I0221 04:56:47.790580  2536 net.cpp:532] relu2 -> conv2 (in-place)
I0221 04:56:47.790585  2536 net.cpp:265] Setting up relu2
I0221 04:56:47.790589  2536 net.cpp:272] TEST Top shape for layer 6 'relu2' 10 256 27 27 (1866240)
I0221 04:56:47.790596  2536 layer_factory.hpp:172] Creating layer 'pool2' of type 'Pooling'
I0221 04:56:47.790599  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.790606  2536 net.cpp:205] Created Layer pool2 (7)
I0221 04:56:47.790611  2536 net.cpp:577] pool2 <- conv2
I0221 04:56:47.790614  2536 net.cpp:547] pool2 -> pool2
I0221 04:56:47.790620  2536 net.cpp:265] Setting up pool2
I0221 04:56:47.790624  2536 net.cpp:272] TEST Top shape for layer 7 'pool2' 10 256 13 13 (432640)
I0221 04:56:47.790629  2536 layer_factory.hpp:172] Creating layer 'norm2' of type 'LRN'
I0221 04:56:47.790634  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.790643  2536 net.cpp:205] Created Layer norm2 (8)
I0221 04:56:47.790647  2536 net.cpp:577] norm2 <- pool2
I0221 04:56:47.790652  2536 net.cpp:547] norm2 -> norm2
I0221 04:56:47.790669  2536 net.cpp:265] Setting up norm2
I0221 04:56:47.790674  2536 net.cpp:272] TEST Top shape for layer 8 'norm2' 10 256 13 13 (432640)
I0221 04:56:47.790680  2536 layer_factory.hpp:172] Creating layer 'conv3' of type 'Convolution'
I0221 04:56:47.790684  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.790693  2536 net.cpp:205] Created Layer conv3 (9)
I0221 04:56:47.790699  2536 net.cpp:577] conv3 <- norm2
I0221 04:56:47.790704  2536 net.cpp:547] conv3 -> conv3
I0221 04:56:47.796380  2536 net.cpp:265] Setting up conv3
I0221 04:56:47.796389  2536 net.cpp:272] TEST Top shape for layer 9 'conv3' 10 384 13 13 (648960)
I0221 04:56:47.796397  2536 layer_factory.hpp:172] Creating layer 'relu3' of type 'ReLU'
I0221 04:56:47.796402  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.796408  2536 net.cpp:205] Created Layer relu3 (10)
I0221 04:56:47.796412  2536 net.cpp:577] relu3 <- conv3
I0221 04:56:47.796416  2536 net.cpp:532] relu3 -> conv3 (in-place)
I0221 04:56:47.796422  2536 net.cpp:265] Setting up relu3
I0221 04:56:47.796427  2536 net.cpp:272] TEST Top shape for layer 10 'relu3' 10 384 13 13 (648960)
I0221 04:56:47.796432  2536 layer_factory.hpp:172] Creating layer 'conv4' of type 'Convolution'
I0221 04:56:47.796437  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.796443  2536 net.cpp:205] Created Layer conv4 (11)
I0221 04:56:47.796447  2536 net.cpp:577] conv4 <- conv3
I0221 04:56:47.796452  2536 net.cpp:547] conv4 -> conv4
I0221 04:56:47.800704  2536 net.cpp:265] Setting up conv4
I0221 04:56:47.800711  2536 net.cpp:272] TEST Top shape for layer 11 'conv4' 10 384 13 13 (648960)
I0221 04:56:47.800719  2536 layer_factory.hpp:172] Creating layer 'relu4' of type 'ReLU'
I0221 04:56:47.800724  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.800729  2536 net.cpp:205] Created Layer relu4 (12)
I0221 04:56:47.800732  2536 net.cpp:577] relu4 <- conv4
I0221 04:56:47.800737  2536 net.cpp:532] relu4 -> conv4 (in-place)
I0221 04:56:47.800741  2536 net.cpp:265] Setting up relu4
I0221 04:56:47.800747  2536 net.cpp:272] TEST Top shape for layer 12 'relu4' 10 384 13 13 (648960)
I0221 04:56:47.800752  2536 layer_factory.hpp:172] Creating layer 'conv5' of type 'Convolution'
I0221 04:56:47.800756  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.800767  2536 net.cpp:205] Created Layer conv5 (13)
I0221 04:56:47.800772  2536 net.cpp:577] conv5 <- conv4
I0221 04:56:47.800776  2536 net.cpp:547] conv5 -> conv5
I0221 04:56:47.803615  2536 net.cpp:265] Setting up conv5
I0221 04:56:47.803623  2536 net.cpp:272] TEST Top shape for layer 13 'conv5' 10 256 13 13 (432640)
I0221 04:56:47.803632  2536 layer_factory.hpp:172] Creating layer 'relu5' of type 'ReLU'
I0221 04:56:47.803635  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.803640  2536 net.cpp:205] Created Layer relu5 (14)
I0221 04:56:47.803644  2536 net.cpp:577] relu5 <- conv5
I0221 04:56:47.803649  2536 net.cpp:532] relu5 -> conv5 (in-place)
I0221 04:56:47.803655  2536 net.cpp:265] Setting up relu5
I0221 04:56:47.803660  2536 net.cpp:272] TEST Top shape for layer 14 'relu5' 10 256 13 13 (432640)
I0221 04:56:47.803665  2536 layer_factory.hpp:172] Creating layer 'pool5' of type 'Pooling'
I0221 04:56:47.803669  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.803675  2536 net.cpp:205] Created Layer pool5 (15)
I0221 04:56:47.803680  2536 net.cpp:577] pool5 <- conv5
I0221 04:56:47.803685  2536 net.cpp:547] pool5 -> pool5
I0221 04:56:47.803692  2536 net.cpp:265] Setting up pool5
I0221 04:56:47.803696  2536 net.cpp:272] TEST Top shape for layer 15 'pool5' 10 256 6 6 (92160)
I0221 04:56:47.803701  2536 layer_factory.hpp:172] Creating layer 'fc6' of type 'InnerProduct'
I0221 04:56:47.803706  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:47.803738  2536 net.cpp:205] Created Layer fc6 (16)
I0221 04:56:47.803743  2536 net.cpp:577] fc6 <- pool5
I0221 04:56:47.803748  2536 net.cpp:547] fc6 -> fc6
I0221 04:56:48.045320  2536 net.cpp:265] Setting up fc6
I0221 04:56:48.045338  2536 net.cpp:272] TEST Top shape for layer 16 'fc6' 10 4096 (40960)
I0221 04:56:48.045351  2536 layer_factory.hpp:172] Creating layer 'relu6' of type 'ReLU'
I0221 04:56:48.045356  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.045368  2536 net.cpp:205] Created Layer relu6 (17)
I0221 04:56:48.045374  2536 net.cpp:577] relu6 <- fc6
I0221 04:56:48.045379  2536 net.cpp:532] relu6 -> fc6 (in-place)
I0221 04:56:48.045387  2536 net.cpp:265] Setting up relu6
I0221 04:56:48.045392  2536 net.cpp:272] TEST Top shape for layer 17 'relu6' 10 4096 (40960)
I0221 04:56:48.045395  2536 layer_factory.hpp:172] Creating layer 'drop6' of type 'Dropout'
I0221 04:56:48.045400  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.045406  2536 net.cpp:205] Created Layer drop6 (18)
I0221 04:56:48.045410  2536 net.cpp:577] drop6 <- fc6
I0221 04:56:48.045415  2536 net.cpp:532] drop6 -> fc6 (in-place)
I0221 04:56:48.045421  2536 net.cpp:265] Setting up drop6
I0221 04:56:48.045426  2536 net.cpp:272] TEST Top shape for layer 18 'drop6' 10 4096 (40960)
I0221 04:56:48.045431  2536 layer_factory.hpp:172] Creating layer 'fc7' of type 'InnerProduct'
I0221 04:56:48.045435  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.045442  2536 net.cpp:205] Created Layer fc7 (19)
I0221 04:56:48.045446  2536 net.cpp:577] fc7 <- fc6
I0221 04:56:48.045451  2536 net.cpp:547] fc7 -> fc7
I0221 04:56:48.153349  2536 net.cpp:265] Setting up fc7
I0221 04:56:48.153367  2536 net.cpp:272] TEST Top shape for layer 19 'fc7' 10 4096 (40960)
I0221 04:56:48.153379  2536 layer_factory.hpp:172] Creating layer 'relu7' of type 'ReLU'
I0221 04:56:48.153385  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.153396  2536 net.cpp:205] Created Layer relu7 (20)
I0221 04:56:48.153402  2536 net.cpp:577] relu7 <- fc7
I0221 04:56:48.153409  2536 net.cpp:532] relu7 -> fc7 (in-place)
I0221 04:56:48.153414  2536 net.cpp:265] Setting up relu7
I0221 04:56:48.153419  2536 net.cpp:272] TEST Top shape for layer 20 'relu7' 10 4096 (40960)
I0221 04:56:48.153424  2536 layer_factory.hpp:172] Creating layer 'drop7' of type 'Dropout'
I0221 04:56:48.153429  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.153434  2536 net.cpp:205] Created Layer drop7 (21)
I0221 04:56:48.153439  2536 net.cpp:577] drop7 <- fc7
I0221 04:56:48.153445  2536 net.cpp:532] drop7 -> fc7 (in-place)
I0221 04:56:48.153450  2536 net.cpp:265] Setting up drop7
I0221 04:56:48.153453  2536 net.cpp:272] TEST Top shape for layer 21 'drop7' 10 4096 (40960)
I0221 04:56:48.153458  2536 layer_factory.hpp:172] Creating layer 'fc8' of type 'InnerProduct'
I0221 04:56:48.153463  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.153469  2536 net.cpp:205] Created Layer fc8 (22)
I0221 04:56:48.153474  2536 net.cpp:577] fc8 <- fc7
I0221 04:56:48.153478  2536 net.cpp:547] fc8 -> fc8
I0221 04:56:48.179706  2536 net.cpp:265] Setting up fc8
I0221 04:56:48.179725  2536 net.cpp:272] TEST Top shape for layer 22 'fc8' 10 1000 (10000)
I0221 04:56:48.179737  2536 layer_factory.hpp:172] Creating layer 'prob' of type 'Softmax'
I0221 04:56:48.179742  2536 layer_factory.hpp:184] Layer's types are Ftype:FLOAT Btype:FLOAT Fmath:FLOAT Bmath:FLOAT
I0221 04:56:48.179756  2536 net.cpp:205] Created Layer prob (23)
I0221 04:56:48.179762  2536 net.cpp:577] prob <- fc8
I0221 04:56:48.179768  2536 net.cpp:547] prob -> prob
I0221 04:56:48.179790  2536 net.cpp:265] Setting up prob
I0221 04:56:48.179795  2536 net.cpp:272] TEST Top shape for layer 23 'prob' 10 1000 (10000)
I0221 04:56:48.179826  2536 net.cpp:343] prob does not need backward computation.
I0221 04:56:48.179832  2536 net.cpp:343] fc8 does not need backward computation.
I0221 04:56:48.179837  2536 net.cpp:343] drop7 does not need backward computation.
I0221 04:56:48.179842  2536 net.cpp:343] relu7 does not need backward computation.
I0221 04:56:48.179847  2536 net.cpp:343] fc7 does not need backward computation.
I0221 04:56:48.179852  2536 net.cpp:343] drop6 does not need backward computation.
I0221 04:56:48.179857  2536 net.cpp:343] relu6 does not need backward computation.
I0221 04:56:48.179862  2536 net.cpp:343] fc6 does not need backward computation.
I0221 04:56:48.179867  2536 net.cpp:343] pool5 does not need backward computation.
I0221 04:56:48.179872  2536 net.cpp:343] relu5 does not need backward computation.
I0221 04:56:48.179876  2536 net.cpp:343] conv5 does not need backward computation.
I0221 04:56:48.179880  2536 net.cpp:343] relu4 does not need backward computation.
I0221 04:56:48.179885  2536 net.cpp:343] conv4 does not need backward computation.
I0221 04:56:48.179889  2536 net.cpp:343] relu3 does not need backward computation.
I0221 04:56:48.179894  2536 net.cpp:343] conv3 does not need backward computation.
I0221 04:56:48.179899  2536 net.cpp:343] norm2 does not need backward computation.
I0221 04:56:48.179903  2536 net.cpp:343] pool2 does not need backward computation.
I0221 04:56:48.179910  2536 net.cpp:343] relu2 does not need backward computation.
I0221 04:56:48.179915  2536 net.cpp:343] conv2 does not need backward computation.
I0221 04:56:48.179920  2536 net.cpp:343] norm1 does not need backward computation.
I0221 04:56:48.179925  2536 net.cpp:343] pool1 does not need backward computation.
I0221 04:56:48.179930  2536 net.cpp:343] relu1 does not need backward computation.
I0221 04:56:48.179934  2536 net.cpp:343] conv1 does not need backward computation.
I0221 04:56:48.179939  2536 net.cpp:343] data does not need backward computation.
I0221 04:56:48.179944  2536 net.cpp:385] This network produces output prob
I0221 04:56:48.179961  2536 net.cpp:408] Top memory (TEST) required for data: 68681400 diff: 68681400
I0221 04:56:48.179966  2536 net.cpp:411] Bottom memory (TEST) required for data: 68641400 diff: 68641400
I0221 04:56:48.179970  2536 net.cpp:414] Shared (in-place) memory (TEST) by data: 26658560 diff: 26658560
I0221 04:56:48.179975  2536 net.cpp:417] Parameters memory (TEST) required for data: 243860896 diff: 42272
I0221 04:56:48.179979  2536 net.cpp:420] Parameters shared memory (TEST) by data: 0 diff: 0
I0221 04:56:48.179984  2536 net.cpp:426] Network initialization done.
I0221 04:56:48.457369  2536 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
I0221 04:56:48.457391  2536 upgrade_proto.cpp:46] Successfully upgraded file specified using deprecated data transformation parameters.
W0221 04:56:48.457396  2536 upgrade_proto.cpp:48] Note that future Caffe releases will only support transform_param messages for transformation fields.
I0221 04:56:48.457417  2536 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
I0221 04:56:48.708874  2536 upgrade_proto.cpp:60] Successfully upgraded file specified using deprecated V1LayerParameter
I0221 04:56:48.717226  2536 net.cpp:1143] Copying source layer data Type:Data #blobs=0
I0221 04:56:48.717237  2536 net.cpp:1143] Copying source layer conv1 Type:Convolution #blobs=2
I0221 04:56:48.717425  2536 net.cpp:1143] Copying source layer relu1 Type:ReLU #blobs=0
I0221 04:56:48.717430  2536 net.cpp:1143] Copying source layer pool1 Type:Pooling #blobs=0
I0221 04:56:48.717435  2536 net.cpp:1143] Copying source layer norm1 Type:LRN #blobs=0
I0221 04:56:48.717439  2536 net.cpp:1143] Copying source layer conv2 Type:Convolution #blobs=2
I0221 04:56:48.719022  2536 net.cpp:1143] Copying source layer relu2 Type:ReLU #blobs=0
I0221 04:56:48.719028  2536 net.cpp:1143] Copying source layer pool2 Type:Pooling #blobs=0
I0221 04:56:48.719033  2536 net.cpp:1143] Copying source layer norm2 Type:LRN #blobs=0
I0221 04:56:48.719036  2536 net.cpp:1143] Copying source layer conv3 Type:Convolution #blobs=2
I0221 04:56:48.723485  2536 net.cpp:1143] Copying source layer relu3 Type:ReLU #blobs=0
I0221 04:56:48.723492  2536 net.cpp:1143] Copying source layer conv4 Type:Convolution #blobs=2
I0221 04:56:48.726866  2536 net.cpp:1143] Copying source layer relu4 Type:ReLU #blobs=0
I0221 04:56:48.726871  2536 net.cpp:1143] Copying source layer conv5 Type:Convolution #blobs=2
I0221 04:56:48.729117  2536 net.cpp:1143] Copying source layer relu5 Type:ReLU #blobs=0
I0221 04:56:48.729122  2536 net.cpp:1143] Copying source layer pool5 Type:Pooling #blobs=0
I0221 04:56:48.729126  2536 net.cpp:1143] Copying source layer fc6 Type:InnerProduct #blobs=2
I0221 04:56:48.915156  2536 net.cpp:1143] Copying source layer relu6 Type:ReLU #blobs=0
I0221 04:56:48.915163  2536 net.cpp:1143] Copying source layer drop6 Type:Dropout #blobs=0
I0221 04:56:48.915167  2536 net.cpp:1143] Copying source layer fc7 Type:InnerProduct #blobs=2
I0221 04:56:48.998550  2536 net.cpp:1143] Copying source layer relu7 Type:ReLU #blobs=0
I0221 04:56:48.998557  2536 net.cpp:1143] Copying source layer drop7 Type:Dropout #blobs=0
I0221 04:56:48.998561  2536 net.cpp:1143] Copying source layer fc8 Type:InnerProduct #blobs=2
I0221 04:56:49.018901  2536 net.cpp:1135] Ignoring source layer loss
(10, 3, 227, 227)
Loading file: ../101_ObjectCategories/cougar_face/image_0006.jpg
Classifying 1 inputs.
Done in 0.27 s.
Saving results into ../result.npy
chibi@2204:~/caffe$ python3 show_result_py3.py data/ilsvrc12/synset_words.txt result.npy
#1 | n02125311 cougar, puma, catamount, mountain lion, painter, panther, Felis concolor | 90.5%
#2 | n02127052 lynx, catamount |  3.4%
#3 | n02114712 red wolf, maned wolf, Canis rufus, Canis niger |  1.7%
chibi@2204:~/caffe$