checkpoints/maxim001_simplenet_2b4b8b/statistics_training_checkpoint

Top:
   epoch
   state_dict
   arch
   optimizer_state_dict
   optimizer_type
   compression_sched
   extras
-------------------------------------
arch: ai85simplenet
-------------------------------------
extras: {'current_top1': 55.76, 'best_top1': 55.76, 'best_epoch': 291}
-------------------------------------
state_dict:
   conv1
     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: 16 , [16]
        # of unique elements:       16
        min, max, mean: -0.19168334 ,  0.36834052 ,  0.07247388
     weight
        total # of elements, shape: 432 , [16, 3, 3, 3]
        # of unique elements:       432
        min, max, mean: -0.802268 ,  0.7458835 ,  -0.0010856437
   conv2
     output_shift:         [-1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [4.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 20 , [20]
        # of unique elements:       20
        min, max, mean: -0.43049204 ,  0.47276396 ,  0.15015088
     weight
        total # of elements, shape: 2880 , [20, 16, 3, 3]
        # of unique elements:       2880
        min, max, mean: -0.6489339 ,  0.44373256 ,  -0.0075482004
   conv3
     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: 20 , [20]
        # of unique elements:       20
        min, max, mean: -0.16107927 ,  0.64212 ,  0.16932115
     weight
        total # of elements, shape: 3600 , [20, 20, 3, 3]
        # of unique elements:       3600
        min, max, mean: -0.6594693 ,  0.4297285 ,  -0.0048244996
   conv4
     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: 20 , [20]
        # of unique elements:       20
        min, max, mean: -0.2788192 ,  0.36745375 ,  0.08209655
     weight
        total # of elements, shape: 3600 , [20, 20, 3, 3]
        # of unique elements:       3600
        min, max, mean: -0.3781386 ,  0.35877833 ,  -0.004330597
   conv5
     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: 20 , [20]
        # of unique elements:       20
        min, max, mean: -0.4778669 ,  0.69232625 ,  0.1373336
     weight
        total # of elements, shape: 3600 , [20, 20, 3, 3]
        # of unique elements:       3600
        min, max, mean: -0.48527744 ,  0.3855096 ,  -2.4955074e-05
   conv6
     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: 20 , [20]
        # of unique elements:       20
        min, max, mean: -0.1993689 ,  0.68981844 ,  0.19056796
     weight
        total # of elements, shape: 3600 , [20, 20, 3, 3]
        # of unique elements:       3600
        min, max, mean: -0.32661057 ,  0.3896761 ,  -0.0005324371
   conv7
     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: 44 , [44]
        # of unique elements:       44
        min, max, mean: -0.33314848 ,  0.5373695 ,  0.05712423
     weight
        total # of elements, shape: 7920 , [44, 20, 3, 3]
        # of unique elements:       7917
        min, max, mean: -0.29842344 ,  0.26807493 ,  -0.0036170066
   conv8
     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: 48 , [48]
        # of unique elements:       48
        min, max, mean: -0.35770896 ,  0.9294356 ,  0.1538872
     weight
        total # of elements, shape: 19008 , [48, 44, 3, 3]
        # of unique elements:       19005
        min, max, mean: -0.25119358 ,  0.22448556 ,  -0.00043370738
   conv9
     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: 48 , [48]
        # of unique elements:       48
        min, max, mean: -0.51157075 ,  0.6982333 ,  0.19713795
     weight
        total # of elements, shape: 20736 , [48, 48, 3, 3]
        # of unique elements:       20728
        min, max, mean: -0.19476362 ,  0.19595417 ,  -0.0007558516
   conv10
     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: 96 , [96]
        # of unique elements:       96
        min, max, mean: -0.49737096 ,  0.5452776 ,  -0.09346354
     weight
        total # of elements, shape: 41472 , [96, 48, 3, 3]
        # of unique elements:       41434
        min, max, mean: -0.1662616 ,  0.32571185 ,  0.003046196
   conv11
     output_shift:         [-1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [4.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 512 , [512]
        # of unique elements:       512
        min, max, mean: -0.7622132 ,  0.6625604 ,  -0.025022728
     weight
        total # of elements, shape: 49152 , [512, 96, 1, 1]
        # of unique elements:       49130
        min, max, mean: -0.5251649 ,  0.55524755 ,  -0.0027382441
   conv12
     output_shift:         [-2.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [4.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -0.276329 ,  0.391946 ,  0.09177708
     weight
        total # of elements, shape: 65536 , [128, 512, 1, 1]
        # of unique elements:       65501
        min, max, mean: -0.48823273 ,  0.35944995 ,  -0.0032784953
   conv13
     output_shift:         [-0.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [4.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 128 , [128]
        # of unique elements:       128
        min, max, mean: -1.1315831 ,  1.3784926 ,  0.32567012
     weight
        total # of elements, shape: 147456 , [128, 128, 3, 3]
        # of unique elements:       147257
        min, max, mean: -1.3093278 ,  1.2955139 ,  -2.2848448e-05
   conv14
     output_shift:         [1.]
     adjust_output_shift:  [1.]
     quantize_activation:  [1.]
     shift_quantile:       [0.985]
     weight bits:          [4.]
     bias_bits:            [8.]
     bias
        total # of elements, shape: 100 , [100]
        # of unique elements:       100
        min, max, mean: -0.2843461 ,  0.25533894 ,  -0.0070921965
     weight
        total # of elements, shape: 12800 , [100, 128, 1, 1]
        # of unique elements:       12799
        min, max, mean: -3.512657 ,  1.6331301 ,  -0.21426365