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vision-bnn-benchmarks-hf

Image Classification
vision
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vision-bnn-benchmarks-hf
File size: 6,227 Bytes 
5096607
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Top:
   epoch
   extras
   state_dict
   arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: None
-------------------------------------
state_dict:
   conv1_1
     output_shift:         [-0.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.1062945 ,  0.11649261 ,  0.0042711664
     weight
        total # of elements, shape: 3456 , [128, 3, 3, 3]
        # of unique elements:       3456
        min, max, mean: -0.81091905 ,  1.0096906 ,  -0.0011215414
   conv1_2
     output_shift:         [-1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.38302064 ,  0.2630111 ,  0.09883679
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16366
        min, max, mean: -0.6458351 ,  0.48061106 ,  -0.014299535
   conv1_3
     output_shift:         [-3.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 256 , [256]
        # of unique elements:       256
        min, max, mean: -0.44141898 ,  0.9098679 ,  0.08919213
     weight
        total # of elements, shape: 294912 , [256, 128, 3, 3]
        # of unique elements:       294335
        min, max, mean: -0.1915816 ,  0.16559647 ,  -0.0038295325
   conv2_1
     output_shift:         [-4.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.45334312 ,  0.56368154 ,  0.108843796
     weight
        total # of elements, shape: 294912 , [128, 256, 3, 3]
        # of unique elements:       294393
        min, max, mean: -0.11026993 ,  0.06633544 ,  -0.0010007931
   conv2_2
     output_shift:         [-1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.7490978 ,  0.6358313 ,  0.09368026
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16383
        min, max, mean: -0.6281223 ,  0.65266085 ,  -0.021354973
   conv3_1
     output_shift:         [-4.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       64
        min, max, mean: -0.6982394 ,  0.9027271 ,  0.0025540655
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       73699
        min, max, mean: -0.1486163 ,  0.1421723 ,  -4.3654596e-05
   conv3_2
     output_shift:         [-0.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 256 , [256]
        # of unique elements:       256
        min, max, mean: -0.34901744 ,  0.40962565 ,  0.04933401
     weight
        total # of elements, shape: 16384 , [256, 64, 1, 1]
        # of unique elements:       16381
        min, max, mean: -0.7871786 ,  0.8800293 ,  -0.019785387
   conv4_1
     output_shift:         [-4.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.50292665 ,  0.59448224 ,  0.05066337
     weight
        total # of elements, shape: 294912 , [128, 256, 3, 3]
        # of unique elements:       294407
        min, max, mean: -0.10920182 ,  0.13385801 ,  -0.00080923137
   conv4_2
     output_shift:         [-3.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       64
        min, max, mean: -0.33529556 ,  0.38338777 ,  0.091318294
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       73652
        min, max, mean: -0.21086846 ,  0.19986778 ,  -0.0023538435
   conv5_1
     output_shift:         [-1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.3798907 ,  0.41461912 ,  0.082057945
     weight
        total # of elements, shape: 8192 , [128, 64, 1, 1]
        # of unique elements:       8136
        min, max, mean: -0.5600442 ,  0.8380049 ,  -0.010083143
   fc
     output_shift:         [1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 100 , [100]
        # of unique elements:       100
        min, max, mean: -0.25300184 ,  0.20809306 ,  -0.00476943
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       51186
        min, max, mean: -3.399373 ,  2.1379414 ,  -0.231394