Top:
   epoch
   extras
   state_dict
   arch
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arch: ai85nascifarnet
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extras: {'best epoch': 123456789, 'best_top1': 61.729997396469116, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 61.729997396469116}
-------------------------------------
state_dict:
   conv1_1
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       63
        min, max, mean: -3685.0 ,  3388.0 ,  52.125
     weight
        total # of elements, shape: 1728 , [64, 3, 3, 3]
        # of unique elements:       217
        min, max, mean: -128.0 ,  127.0 ,  -0.1087963
   conv1_2
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 32 , [32]
        # of unique elements:       32
        min, max, mean: -13262.0 ,  7488.0 ,  2802.0938
     weight
        total # of elements, shape: 2048 , [32, 64, 1, 1]
        # of unique elements:       200
        min, max, mean: -128.0 ,  120.0 ,  -4.1831055
   conv1_3
     output_shift:         [-2.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       57
        min, max, mean: -16384.0 ,  16383.0 ,  4576.547
     weight
        total # of elements, shape: 18432 , [64, 32, 3, 3]
        # of unique elements:       256
        min, max, mean: -128.0 ,  127.0 ,  -2.108507
   conv2_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 32 , [32]
        # of unique elements:       15
        min, max, mean: -16384.0 ,  16383.0 ,  3825.4375
     weight
        total # of elements, shape: 18432 , [32, 64, 3, 3]
        # of unique elements:       222
        min, max, mean: -128.0 ,  127.0 ,  -0.1835395
   conv2_2
     output_shift:         [-0.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       54
        min, max, mean: -70.0 ,  113.0 ,  17.921875
     weight
        total # of elements, shape: 2048 , [64, 32, 1, 1]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.056152344
   conv3_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       38
        min, max, mean: -256.0 ,  255.0 ,  47.179688
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.005018446
   conv3_2
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [2.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       103
        min, max, mean: -194.0 ,  255.0 ,  76.234375
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.055541992
   conv4_1
     output_shift:         [-3.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 64 , [64]
        # of unique elements:       25
        min, max, mean: -16384.0 ,  16383.0 ,  -4151.547
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       222
        min, max, mean: -117.0 ,  127.0 ,  0.27342394
   conv4_2
     output_shift:         [-2.]
     adjust_output_shift:  [0.]
     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: -16384.0 ,  12766.0 ,  1170.9844
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       240
        min, max, mean: -128.0 ,  127.0 ,  0.19311523
   conv5_1
     output_shift:         [-1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       125
        min, max, mean: -8722.0 ,  16383.0 ,  3665.7734
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       212
        min, max, mean: -114.0 ,  127.0 ,  -0.04748535
   fc
     output_shift:         [1.]
     adjust_output_shift:  [0.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [8.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 100 , [100]
        # of unique elements:       98
        min, max, mean: -1474.0 ,  1981.0 ,  -3.73
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       215
        min, max, mean: -128.0 ,  107.0 ,  -10.196386