sonebu
moving over from github
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epoch
extras
state_dict
arch
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arch: ai85nascifarnet
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extras: None
-------------------------------------
state_dict:
conv1_1
output_shift: [-0.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 27
min, max, mean: -8704.0 , 1408.0 , -868.0
weight
total # of elements, shape: 1728 , [64, 3, 3, 3]
# of unique elements: 122
min, max, mean: -73.0 , 118.0 , -0.17418982
conv1_2
output_shift: [-1.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 32 , [32]
# of unique elements: 26
min, max, mean: -128.0 , 68.0 , 14.0625
weight
total # of elements, shape: 2048 , [32, 64, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.15136719
conv1_3
output_shift: [-2.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 40
min, max, mean: -120.0 , 98.0 , -2.21875
weight
total # of elements, shape: 18432 , [64, 32, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.11306424
conv2_1
output_shift: [-3.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 32 , [32]
# of unique elements: 20
min, max, mean: -128.0 , 126.0 , 29.0625
weight
total # of elements, shape: 18432 , [32, 64, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.035047743
conv2_2
output_shift: [0.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 47
min, max, mean: -96.0 , 126.0 , 29.3125
weight
total # of elements, shape: 2048 , [64, 32, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.2421875
conv3_1
output_shift: [-4.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 55
min, max, mean: -128.0 , 126.0 , 35.21875
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.026529947
conv3_2
output_shift: [-2.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 77
min, max, mean: -128.0 , 126.0 , 20.734375
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.09436035
conv4_1
output_shift: [-4.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 35
min, max, mean: -128.0 , 126.0 , -5.09375
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , 0.0046115452
conv4_2
output_shift: [-3.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 73
min, max, mean: -128.0 , 126.0 , -19.015625
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.03000217
conv5_1
output_shift: [-2.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [2.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 75
min, max, mean: -128.0 , 126.0 , 34.890625
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 2
min, max, mean: -1.0 , 1.0 , -0.035888672
fc
output_shift: [3.]
adjust_output_shift: [0.]
quantize_activation: [1.]
shift_quantile: [1.]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 100 , [100]
# of unique elements: 26
min, max, mean: -1920.0 , 1664.0 , -57.6
weight
total # of elements, shape: 51200 , [100, 512]
# of unique elements: 130
min, max, mean: -93.0 , 73.0 , -4.9889455