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Top:
epoch
extras
state_dict
arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: {'best epoch': 123456789, 'best_top1': 61.33999824523926, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 61.33999824523926}
-------------------------------------
state_dict:
conv1_1
output_shift: [-0.]
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: 122
min, max, mean: -1742.0 , 1909.0 , 69.99219
weight
total # of elements, shape: 3456 , [128, 3, 3, 3]
# of unique elements: 163
min, max, mean: -104.0 , 127.0 , -0.13715278
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: 128 , [128]
# of unique elements: 84
min, max, mean: -196.0 , 135.0 , 50.648438
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.06958008
conv1_3
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: 256 , [256]
# of unique elements: 114
min, max, mean: -256.0 , 255.0 , 67.8125
weight
total # of elements, shape: 294912 , [256, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.07051934
conv2_1
output_shift: [-4.]
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: 25
min, max, mean: -256.0 , 255.0 , 97.0
weight
total # of elements, shape: 294912 , [128, 256, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.032714844
conv2_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: 99
min, max, mean: -256.0 , 255.0 , 47.382812
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.16381836
conv3_1
output_shift: [-4.]
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: 8
min, max, mean: -256.0 , 255.0 , 1.640625
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.013807509
conv3_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: 256 , [256]
# of unique elements: 120
min, max, mean: -89.0 , 105.0 , 12.6484375
weight
total # of elements, shape: 16384 , [256, 64, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.11975098
conv4_1
output_shift: [-4.]
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: 29
min, max, mean: -256.0 , 255.0 , 26.671875
weight
total # of elements, shape: 294912 , [128, 256, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.037963867
conv4_2
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: 27
min, max, mean: -256.0 , 255.0 , 129.625
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.06856283
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: 105
min, max, mean: -195.0 , 212.0 , 42.03125
weight
total # of elements, shape: 8192 , [128, 64, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.072631836
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: 99
min, max, mean: -2073.0 , 1705.0 , -39.07
weight
total # of elements, shape: 51200 , [100, 512]
# of unique elements: 242
min, max, mean: -128.0 , 127.0 , -14.715996
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