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Top:
epoch
extras
state_dict
arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
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
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