Top:
   epoch
   extras
   state_dict
   arch
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arch: ai85nascifarnet
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extras: {'best epoch': 123456789, 'best_top1': 64.78999853134155, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 64.78999853134155}
-------------------------------------
state_dict:
   conv1_1
     output_shift:         [-0.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       63
        min, max, mean: -1568.0 ,  1831.0 ,  38.640625
     weight
        total # of elements, shape: 1728 , [64, 3, 3, 3]
        # of unique elements:       155
        min, max, mean: -105.0 ,  109.0 ,  -0.122106485
   conv1_2
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 32 , [32]
        # of unique elements:       32
        min, max, mean: -15481.0 ,  7800.0 ,  3626.5625
     weight
        total # of elements, shape: 2048 , [32, 64, 1, 1]
        # of unique elements:       200
        min, max, mean: -128.0 ,  127.0 ,  -5.270508
   conv1_3
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       63
        min, max, mean: -7690.0 ,  16383.0 ,  3146.8281
     weight
        total # of elements, shape: 18432 , [64, 32, 3, 3]
        # of unique elements:       184
        min, max, mean: -116.0 ,  103.0 ,  -1.2205946
   conv2_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 32 , [32]
        # of unique elements:       10
        min, max, mean: -16384.0 ,  16383.0 ,  1596.0625
     weight
        total # of elements, shape: 18432 , [32, 64, 3, 3]
        # of unique elements:       232
        min, max, mean: -128.0 ,  127.0 ,  0.12641059
   conv2_2
     output_shift:         [-0.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       64
        min, max, mean: -3721.0 ,  11407.0 ,  964.0
     weight
        total # of elements, shape: 2048 , [64, 32, 1, 1]
        # of unique elements:       209
        min, max, mean: -128.0 ,  127.0 ,  -2.3925781
   conv3_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       47
        min, max, mean: -16384.0 ,  16383.0 ,  3604.875
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       250
        min, max, mean: -128.0 ,  127.0 ,  -0.31487358
   conv3_2
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       122
        min, max, mean: -10467.0 ,  16383.0 ,  4923.797
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       234
        min, max, mean: -128.0 ,  127.0 ,  -3.060669
   conv4_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       16
        min, max, mean: -16384.0 ,  16383.0 ,  -2837.8125
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       228
        min, max, mean: -125.0 ,  127.0 ,  0.3362766
   conv4_2
     output_shift:         [-2.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -15940.0 ,  16383.0 ,  3565.0312
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       244
        min, max, mean: -128.0 ,  127.0 ,  -0.21457249
   conv5_1
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -9980.0 ,  16383.0 ,  3269.8203
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       212
        min, max, mean: -108.0 ,  127.0 ,  0.20965576
   fc
     output_shift:         [1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.995]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 100 , [100]
        # of unique elements:       99
        min, max, mean: -1737.0 ,  1383.0 ,  -2.73
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       212
        min, max, mean: -128.0 ,  115.0 ,  -10.220196