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Top:
epoch
extras
state_dict
arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: {'best epoch': 123456789, 'best_top1': 66.38000011444092, 'clipping_method': 'MAX_BIT_SHIFT', 'current_top1': 66.38000011444092}
-------------------------------------
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: 128 , [128]
# of unique elements: 126
min, max, mean: -3721.0 , 3012.0 , 187.64062
weight
total # of elements, shape: 3456 , [128, 3, 3, 3]
# of unique elements: 243
min, max, mean: -128.0 , 127.0 , -0.21961805
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: 77
min, max, mean: -211.0 , 155.0 , 60.53125
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.06359863
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: 119
min, max, mean: -256.0 , 255.0 , 70.70703
weight
total # of elements, shape: 294912 , [256, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.04927911
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: 29
min, max, mean: -256.0 , 255.0 , 91.296875
weight
total # of elements, shape: 294912 , [128, 256, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.016855875
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: 107
min, max, mean: -256.0 , 255.0 , 44.96875
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.095703125
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: 7
min, max, mean: -256.0 , 255.0 , 6.1875
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.0012207031
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: 256 , [256]
# of unique elements: 168
min, max, mean: -174.0 , 226.0 , 39.132812
weight
total # of elements, shape: 16384 , [256, 64, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.14996338
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: 21
min, max, mean: -256.0 , 255.0 , 20.890625
weight
total # of elements, shape: 294912 , [128, 256, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.021979438
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: 32
min, max, mean: -256.0 , 255.0 , 128.625
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.06121148
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: 104
min, max, mean: -144.0 , 226.0 , 44.359375
weight
total # of elements, shape: 8192 , [128, 64, 1, 1]
# of unique elements: 4
min, max, mean: -2.0 , 1.0 , -0.03479004
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: 100
min, max, mean: -2166.0 , 2597.0 , -23.7
weight
total # of elements, shape: 51200 , [100, 512]
# of unique elements: 241
min, max, mean: -128.0 , 125.0 , -14.603789
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