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Top:
epoch
extras
state_dict
arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: {'best epoch': 123456789, 'best_top1': 57.339996099472046, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 57.339996099472046}
-------------------------------------
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: 64
min, max, mean: -3199.0 , 2862.0 , 22.640625
weight
total # of elements, shape: 1728 , [64, 3, 3, 3]
# of unique elements: 223
min, max, mean: -128.0 , 127.0 , -0.25752315
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: 29
min, max, mean: -197.0 , 139.0 , 53.90625
weight
total # of elements, shape: 2048 , [32, 64, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.08300781
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 , 79.921875
weight
total # of elements, shape: 18432 , [64, 32, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.05707465
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: 17
min, max, mean: -256.0 , 255.0 , 35.96875
weight
total # of elements, shape: 18432 , [32, 64, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , 0.0007052951
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: 55
min, max, mean: -143.0 , 113.0 , 12.59375
weight
total # of elements, shape: 2048 , [64, 32, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.05126953
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: 53
min, max, mean: -256.0 , 255.0 , 68.40625
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.010633681
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: 109
min, max, mean: -253.0 , 255.0 , 75.14844
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.06890869
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: 24
min, max, mean: -256.0 , 255.0 , -44.453125
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , 0.0019259983
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: 100
min, max, mean: -166.0 , 227.0 , 36.59375
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.01034885
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: 107
min, max, mean: -189.0 , 247.0 , 51.609375
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.0040283203
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: 98
min, max, mean: -1839.0 , 2088.0 , -41.12
weight
total # of elements, shape: 51200 , [100, 512]
# of unique elements: 212
min, max, mean: -128.0 , 102.0 , -10.25957
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