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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: -0.12141815 ,  0.10342032 ,  0.0030579478
     weight
        total # of elements, shape: 3456 , [128, 3, 3, 3]
        # of unique elements:       3456
        min, max, mean: -0.9258575 ,  1.0867571 ,  -0.00094597205
   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: -0.42035758 ,  0.27567905 ,  0.1199088
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16363
        min, max, mean: -0.69036406 ,  0.46215373 ,  -0.00803211
   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: -0.5252101 ,  0.76673394 ,  0.10533109
     weight
        total # of elements, shape: 294912 , [256, 128, 3, 3]
        # of unique elements:       294292
        min, max, mean: -0.20648248 ,  0.17757419 ,  -0.0014420272
   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: -0.4867367 ,  0.63989335 ,  0.12088616
     weight
        total # of elements, shape: 294912 , [128, 256, 3, 3]
        # of unique elements:       294204
        min, max, mean: -0.08467322 ,  0.060850546 ,  -0.00013407545
   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: -0.60794014 ,  0.7731587 ,  0.10950339
     weight
        total # of elements, shape: 16384 , [128, 128, 1, 1]
        # of unique elements:       16334
        min, max, mean: -0.588682 ,  0.65911394 ,  -0.0124414
   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: -0.6709536 ,  0.90434617 ,  -0.046010096
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       73625
        min, max, mean: -0.090010956 ,  0.12963162 ,  0.0004867123
   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: -0.43939522 ,  0.5542811 ,  0.06785342
     weight
        total # of elements, shape: 16384 , [256, 64, 1, 1]
        # of unique elements:       16169
        min, max, mean: -0.8439546 ,  0.8458319 ,  -0.014337172
   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: -0.69682604 ,  0.707377 ,  0.03144107
     weight
        total # of elements, shape: 294912 , [128, 256, 3, 3]
        # of unique elements:       294074
        min, max, mean: -0.0944709 ,  0.09537982 ,  5.3931428e-05
   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: -0.45413327 ,  0.40575495 ,  0.101883814
     weight
        total # of elements, shape: 73728 , [64, 128, 3, 3]
        # of unique elements:       73538
        min, max, mean: -0.2167601 ,  0.2236249 ,  0.00013782765
   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: -0.4686328 ,  0.47734067 ,  0.11835486
     weight
        total # of elements, shape: 8192 , [128, 64, 1, 1]
        # of unique elements:       8094
        min, max, mean: -0.49763885 ,  0.9475825 ,  0.0046607344
   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: -0.2936688 ,  0.2124647 ,  -0.004038828
     weight
        total # of elements, shape: 51200 , [100, 512]
        # of unique elements:       51185
        min, max, mean: -3.230919 ,  1.8885088 ,  -0.23695616