Top:
   epoch
   extras
   state_dict
   arch
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arch: ai85nascifarnet
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extras: {'best epoch': 123456789, 'best_top1': 54.71000075340271, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 54.71000075340271}
-------------------------------------
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: -3871.0 ,  1998.0 ,  -39.40625
     weight
        total # of elements, shape: 1728 , [64, 3, 3, 3]
        # of unique elements:       214
        min, max, mean: -128.0 ,  127.0 ,  -0.23842593
   conv1_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: 32 , [32]
        # of unique elements:       32
        min, max, mean: -216.0 ,  119.0 ,  46.40625
     weight
        total # of elements, shape: 2048 , [32, 64, 1, 1]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.11035156
   conv1_3
     output_shift:         [-2.]
     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:       50
        min, max, mean: -256.0 ,  255.0 ,  70.484375
     weight
        total # of elements, shape: 18432 , [64, 32, 3, 3]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.097601995
   conv2_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: 32 , [32]
        # of unique elements:       13
        min, max, mean: -256.0 ,  255.0 ,  18.5625
     weight
        total # of elements, shape: 18432 , [32, 64, 3, 3]
        # of unique elements:       2
        min, max, mean: -1.0 ,  1.0 ,  -0.024305556
   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:       53
        min, max, mean: -110.0 ,  109.0 ,  11.515625
     weight
        total # of elements, shape: 2048 , [64, 32, 1, 1]
        # of unique elements:       2
        min, max, mean: -1.0 ,  1.0 ,  -0.17285156
   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:       57
        min, max, mean: -256.0 ,  255.0 ,  55.242188
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       2
        min, max, mean: -1.0 ,  1.0 ,  -0.030978732
   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:       111
        min, max, mean: -256.0 ,  255.0 ,  73.92969
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       2
        min, max, mean: -1.0 ,  1.0 ,  -0.13757324
   conv4_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: 64 , [64]
        # of unique elements:       16
        min, max, mean: -256.0 ,  255.0 ,  -53.171875
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       2
        min, max, mean: -1.0 ,  1.0 ,  -0.036512587
   conv4_2
     output_shift:         [-2.]
     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:       109
        min, max, mean: -227.0 ,  215.0 ,  26.53125
     weight
        total # of elements, shape: 73728 , [128, 64, 3, 3]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.0400255
   conv5_1
     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:       101
        min, max, mean: -162.0 ,  255.0 ,  58.023438
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       4
        min, max, mean: -2.0 ,  1.0 ,  -0.028259277
   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:       91
        min, max, mean: -2028.0 ,  1904.0 ,  -19.33
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       210
        min, max, mean: -128.0 ,  94.0 ,  -10.346094