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vision-bnn-benchmarks-hf

Image Classification
vision
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vision-bnn-benchmarks-hf
File size: 6,193 Bytes 
5096607
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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Top:
   epoch
   extras
   state_dict
   arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: None
-------------------------------------
state_dict:
   conv1_1
     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: 64 , [64]
        # of unique elements:       64
        min, max, mean: -0.09763674 ,  0.08732803 ,  0.0006905794
     weight
        total # of elements, shape: 1728 , [64, 3, 3, 3]
        # of unique elements:       1728
        min, max, mean: -0.7342287 ,  0.86711884 ,  -0.00071328814
   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: 32 , [32]
        # of unique elements:       32
        min, max, mean: -0.38424972 ,  0.27241862 ,  0.10525063
     weight
        total # of elements, shape: 2048 , [32, 64, 1, 1]
        # of unique elements:       2048
        min, max, mean: -0.59332895 ,  0.41311347 ,  -0.018598543
   conv1_3
     output_shift:         [-2.]
     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: -0.3860237 ,  0.5209098 ,  0.09245379
     weight
        total # of elements, shape: 18432 , [64, 32, 3, 3]
        # of unique elements:       18427
        min, max, mean: -0.5858764 ,  0.47067192 ,  -0.0042794654
   conv2_1
     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: 32 , [32]
        # of unique elements:       32
        min, max, mean: -0.5581179 ,  0.4162186 ,  0.03879378
     weight
        total # of elements, shape: 18432 , [32, 64, 3, 3]
        # of unique elements:       18426
        min, max, mean: -0.20846371 ,  0.19582224 ,  0.00040720336
   conv2_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: 64 , [64]
        # of unique elements:       64
        min, max, mean: -0.5586003 ,  0.4403127 ,  0.049198207
     weight
        total # of elements, shape: 2048 , [64, 32, 1, 1]
        # of unique elements:       2048
        min, max, mean: -0.9156108 ,  1.1265619 ,  -0.016320027
   conv3_1
     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: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.6626083 ,  0.7643094 ,  0.07738045
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       73675
        min, max, mean: -0.15631889 ,  0.16410363 ,  -0.00024500678
   conv3_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: -0.4948001 ,  0.6649789 ,  0.15025692
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16380
        min, max, mean: -0.5555891 ,  0.5185376 ,  -0.014057841
   conv4_1
     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: -0.60154 ,  0.678474 ,  -0.060857046
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       73670
        min, max, mean: -0.13421577 ,  0.13600616 ,  0.000336579
   conv4_2
     output_shift:         [-2.]
     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: -0.16241989 ,  0.22186275 ,  0.035726417
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       73666
        min, max, mean: -0.2782171 ,  0.3568763 ,  -0.0006378573
   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: -0.3688353 ,  0.4817295 ,  0.100752056
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16382
        min, max, mean: -0.45492658 ,  0.6571981 ,  -0.0010069595
   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: -0.22445635 ,  0.2548512 ,  -0.0050179153
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       51173
        min, max, mean: -2.219185 ,  1.5888963 ,  -0.16028893