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Top:
epoch
extras
state_dict
arch
-------------------------------------
arch: ai85nascifarnet
-------------------------------------
extras: None
-------------------------------------
state_dict:
conv1_1
output_shift: [-0.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 64
min, max, mean: -0.09569145 , 0.11176931 , 0.0023545348
weight
total # of elements, shape: 1728 , [64, 3, 3, 3]
# of unique elements: 1728
min, max, mean: -0.82078534 , 0.8478423 , -0.0009090822
conv1_2
output_shift: [-1.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 32 , [32]
# of unique elements: 32
min, max, mean: -0.47243807 , 0.23804682 , 0.11067512
weight
total # of elements, shape: 2048 , [32, 64, 1, 1]
# of unique elements: 2048
min, max, mean: -0.6935298 , 0.5647582 , -0.020792957
conv1_3
output_shift: [-1.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 64
min, max, mean: -0.23467612 , 0.58637875 , 0.097503155
weight
total # of elements, shape: 18432 , [64, 32, 3, 3]
# of unique elements: 18429
min, max, mean: -0.4526815 , 0.4040971 , -0.004771175
conv2_1
output_shift: [-3.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 32 , [32]
# of unique elements: 32
min, max, mean: -0.39697582 , 0.48210716 , 0.027005818
weight
total # of elements, shape: 18432 , [32, 64, 3, 3]
# of unique elements: 18430
min, max, mean: -0.2135905 , 0.15751368 , 0.00010535153
conv2_2
output_shift: [-0.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 64
min, max, mean: -0.22709861 , 0.6962397 , 0.0588381
weight
total # of elements, shape: 2048 , [64, 32, 1, 1]
# of unique elements: 2048
min, max, mean: -1.1051985 , 1.338855 , -0.01851481
conv3_1
output_shift: [-3.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 128
min, max, mean: -0.6500221 , 0.7398894 , 0.050455317
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 73688
min, max, mean: -0.17812 , 0.18307836 , -0.00030776308
conv3_2
output_shift: [-1.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 128
min, max, mean: -0.31943882 , 0.59705323 , 0.15301093
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 16381
min, max, mean: -0.5597776 , 0.6652047 , -0.01194022
conv4_1
output_shift: [-3.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 64 , [64]
# of unique elements: 64
min, max, mean: -0.6996244 , 1.0072677 , -0.068444364
weight
total # of elements, shape: 73728 , [64, 128, 3, 3]
# of unique elements: 73693
min, max, mean: -0.12233131 , 0.15938132 , 0.00032919308
conv4_2
output_shift: [-2.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 128
min, max, mean: -0.24322651 , 0.2781469 , 0.05461803
weight
total # of elements, shape: 73728 , [128, 64, 3, 3]
# of unique elements: 73706
min, max, mean: -0.27082616 , 0.2800041 , -0.00041949743
conv5_1
output_shift: [-1.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 128 , [128]
# of unique elements: 128
min, max, mean: -0.30457166 , 0.6364847 , 0.100854084
weight
total # of elements, shape: 16384 , [128, 128, 1, 1]
# of unique elements: 16381
min, max, mean: -0.4237072 , 0.58368826 , 0.00083749543
fc
output_shift: [1.]
adjust_output_shift: [1.]
quantize_activation: [1.]
shift_quantile: [0.995]
weight bits: [8.]
bias_bits: [8.]
bias
total # of elements, shape: 100 , [100]
# of unique elements: 100
min, max, mean: -0.21204573 , 0.16882493 , -0.00033210413
weight
total # of elements, shape: 51200 , [100, 512]
# of unique elements: 51184
min, max, mean: -2.0832171 , 1.7930893 , -0.15969671
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