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- .gitattributes +3 -0
- .gitignore +3 -0
- LICENSE +2 -0
- README.md +9 -3
- checkpoints/maxim000_nas_8b/hardware_checkpoint.pth.tar +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv1_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv1_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv1_3.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv2_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv2_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv3_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv3_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv4_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv4_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv5_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/fc.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv1_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv1_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv1_3.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv2_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv2_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv3_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv3_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv4_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv4_2.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv5_1.jpg +3 -0
- checkpoints/maxim000_nas_8b/histograms_training_checkpoint/fc.jpg +3 -0
- checkpoints/maxim000_nas_8b/readme +1 -0
- checkpoints/maxim000_nas_8b/statistics_hardware_checkpoint +179 -0
- checkpoints/maxim000_nas_8b/statistics_training_checkpoint +179 -0
- checkpoints/maxim000_nas_8b/training_checkpoint.pth.tar +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/hardware_checkpoint.pth.tar +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv1.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv10.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv11.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv12.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv13.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv14.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv2.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv3.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv4.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv5.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv6.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv7.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv8.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv9.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv1.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv10.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv11.jpg +3 -0
- checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv12.jpg +3 -0
.gitattributes
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**/__pycache__/
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**/.ipynb_checkpoints/
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**/data/
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LICENSE
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Demo software - Experiments on binary neural networks in computer vision by HyperbeeAI
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Copyrights © 2023 Hyperbee.AI Inc. All rights reserved. [email protected]
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README.md
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# Experiments on binary neural networks in computer vision by HyperbeeAI
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Copyrights © 2023 Hyperbee.AI Inc. All rights reserved. [email protected]
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This repository contains our experiments for quantized and binary neural networks for computer vision tasks, evaluated over the CIFAR100 benchmark dataset.
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See checkpoints/ and associated evaluation scripts. See documentation/ for more information on results:
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![results](./documentation/edited-results-graph.png)
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checkpoints/maxim000_nas_8b/hardware_checkpoint.pth.tar
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checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv1_1.jpg
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checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv4_2.jpg
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checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/conv5_1.jpg
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checkpoints/maxim000_nas_8b/histograms_hardware_checkpoint/fc.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv1_1.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv1_2.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv2_1.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv3_2.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv4_1.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv4_2.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/conv5_1.jpg
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checkpoints/maxim000_nas_8b/histograms_training_checkpoint/fc.jpg
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checkpoints/maxim000_nas_8b/readme
ADDED
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same ID on deliverable v1
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checkpoints/maxim000_nas_8b/statistics_hardware_checkpoint
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Top:
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epoch
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state_dict
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arch
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optimizer_state_dict
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optimizer_type
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compression_sched
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extras
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-------------------------------------
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arch: ai85nascifarnet
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-------------------------------------
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extras: {'current_top1': 64.22, 'best_top1': 64.22, 'best_epoch': 254, 'clipping_method': 'MAX_BIT_SHIFT'}
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-------------------------------------
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state_dict:
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conv1_1
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output_shift: [-0.]
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adjust_output_shift: [0.]
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quantize_activation: [1.]
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shift_quantile: [0.995]
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weight bits: [8.]
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bias_bits: [8.]
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bias
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total # of elements, shape: 64 , [64]
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# of unique elements: 60
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min, max, mean: -1625.0 , 1508.0 , 104.171875
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weight
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+
total # of elements, shape: 1728 , [64, 3, 3, 3]
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# of unique elements: 145
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min, max, mean: -108.0 , 127.0 , -0.11921296
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+
conv1_2
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output_shift: [-1.]
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adjust_output_shift: [0.]
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quantize_activation: [1.]
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+
shift_quantile: [0.995]
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+
weight bits: [8.]
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+
bias_bits: [8.]
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bias
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+
total # of elements, shape: 32 , [32]
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# of unique elements: 32
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+
min, max, mean: -9670.0 , 7746.0 , 3041.8125
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+
weight
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+
total # of elements, shape: 2048 , [32, 64, 1, 1]
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# of unique elements: 200
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+
min, max, mean: -128.0 , 115.0 , -4.880371
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+
conv1_3
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output_shift: [-1.]
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adjust_output_shift: [0.]
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quantize_activation: [1.]
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+
shift_quantile: [0.995]
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weight bits: [8.]
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+
bias_bits: [8.]
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+
bias
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+
total # of elements, shape: 64 , [64]
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+
# of unique elements: 62
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+
min, max, mean: -10111.0 , 16383.0 , 2751.25
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+
weight
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+
total # of elements, shape: 18432 , [64, 32, 3, 3]
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+
# of unique elements: 211
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+
min, max, mean: -128.0 , 127.0 , -1.8574761
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+
conv2_1
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output_shift: [-3.]
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+
adjust_output_shift: [0.]
|
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+
quantize_activation: [1.]
|
64 |
+
shift_quantile: [0.995]
|
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+
weight bits: [8.]
|
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+
bias_bits: [8.]
|
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+
bias
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+
total # of elements, shape: 32 , [32]
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+
# of unique elements: 15
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+
min, max, mean: -16384.0 , 16383.0 , 4184.625
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+
weight
|
72 |
+
total # of elements, shape: 18432 , [32, 64, 3, 3]
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+
# of unique elements: 241
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+
min, max, mean: -128.0 , 127.0 , -0.30381945
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+
conv2_2
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output_shift: [-0.]
|
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+
adjust_output_shift: [0.]
|
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+
quantize_activation: [1.]
|
79 |
+
shift_quantile: [0.995]
|
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+
weight bits: [8.]
|
81 |
+
bias_bits: [8.]
|
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+
bias
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+
total # of elements, shape: 64 , [64]
|
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+
# of unique elements: 64
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+
min, max, mean: -6662.0 , 9154.0 , 423.60938
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+
weight
|
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+
total # of elements, shape: 2048 , [64, 32, 1, 1]
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+
# of unique elements: 214
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+
min, max, mean: -128.0 , 127.0 , -3.1674805
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+
conv3_1
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+
output_shift: [-3.]
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+
adjust_output_shift: [0.]
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+
quantize_activation: [1.]
|
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+
shift_quantile: [0.995]
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+
weight bits: [8.]
|
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+
bias_bits: [8.]
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+
bias
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+
total # of elements, shape: 128 , [128]
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+
# of unique elements: 56
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+
min, max, mean: -16384.0 , 16383.0 , 4185.4375
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+
weight
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+
total # of elements, shape: 73728 , [128, 64, 3, 3]
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+
# of unique elements: 256
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+
min, max, mean: -128.0 , 127.0 , -0.86854386
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+
conv3_2
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+
output_shift: [-1.]
|
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+
adjust_output_shift: [0.]
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+
quantize_activation: [1.]
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+
shift_quantile: [0.995]
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+
weight bits: [8.]
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+
bias_bits: [8.]
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+
bias
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+
total # of elements, shape: 128 , [128]
|
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+
# of unique elements: 120
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115 |
+
min, max, mean: -16384.0 , 16383.0 , 4592.4453
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+
weight
|
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+
total # of elements, shape: 16384 , [128, 128, 1, 1]
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118 |
+
# of unique elements: 247
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+
min, max, mean: -128.0 , 127.0 , -4.216797
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+
conv4_1
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+
output_shift: [-3.]
|
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+
adjust_output_shift: [0.]
|
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+
quantize_activation: [1.]
|
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+
shift_quantile: [0.995]
|
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+
weight bits: [8.]
|
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+
bias_bits: [8.]
|
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+
bias
|
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+
total # of elements, shape: 64 , [64]
|
129 |
+
# of unique elements: 23
|
130 |
+
min, max, mean: -16384.0 , 16383.0 , -5280.2656
|
131 |
+
weight
|
132 |
+
total # of elements, shape: 73728 , [64, 128, 3, 3]
|
133 |
+
# of unique elements: 256
|
134 |
+
min, max, mean: -128.0 , 127.0 , 0.3366021
|
135 |
+
conv4_2
|
136 |
+
output_shift: [-2.]
|
137 |
+
adjust_output_shift: [0.]
|
138 |
+
quantize_activation: [1.]
|
139 |
+
shift_quantile: [0.995]
|
140 |
+
weight bits: [8.]
|
141 |
+
bias_bits: [8.]
|
142 |
+
bias
|
143 |
+
total # of elements, shape: 128 , [128]
|
144 |
+
# of unique elements: 127
|
145 |
+
min, max, mean: -12892.0 , 13250.0 , 669.0703
|
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+
weight
|
147 |
+
total # of elements, shape: 73728 , [128, 64, 3, 3]
|
148 |
+
# of unique elements: 255
|
149 |
+
min, max, mean: -128.0 , 127.0 , -0.24837239
|
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+
conv5_1
|
151 |
+
output_shift: [-1.]
|
152 |
+
adjust_output_shift: [0.]
|
153 |
+
quantize_activation: [1.]
|
154 |
+
shift_quantile: [0.995]
|
155 |
+
weight bits: [8.]
|
156 |
+
bias_bits: [8.]
|
157 |
+
bias
|
158 |
+
total # of elements, shape: 128 , [128]
|
159 |
+
# of unique elements: 128
|
160 |
+
min, max, mean: -12592.0 , 16346.0 , 3888.5
|
161 |
+
weight
|
162 |
+
total # of elements, shape: 16384 , [128, 128, 1, 1]
|
163 |
+
# of unique elements: 245
|
164 |
+
min, max, mean: -128.0 , 127.0 , -0.55474854
|
165 |
+
fc
|
166 |
+
output_shift: [2.]
|
167 |
+
adjust_output_shift: [0.]
|
168 |
+
quantize_activation: [1.]
|
169 |
+
shift_quantile: [0.995]
|
170 |
+
weight bits: [8.]
|
171 |
+
bias_bits: [8.]
|
172 |
+
bias
|
173 |
+
total # of elements, shape: 100 , [100]
|
174 |
+
# of unique elements: 98
|
175 |
+
min, max, mean: -1793.0 , 1060.0 , -39.89
|
176 |
+
weight
|
177 |
+
total # of elements, shape: 51200 , [100, 512]
|
178 |
+
# of unique elements: 195
|
179 |
+
min, max, mean: -128.0 , 76.0 , -7.866582
|
checkpoints/maxim000_nas_8b/statistics_training_checkpoint
ADDED
@@ -0,0 +1,179 @@
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|
1 |
+
Top:
|
2 |
+
epoch
|
3 |
+
state_dict
|
4 |
+
arch
|
5 |
+
optimizer_state_dict
|
6 |
+
optimizer_type
|
7 |
+
compression_sched
|
8 |
+
extras
|
9 |
+
-------------------------------------
|
10 |
+
arch: ai85nascifarnet
|
11 |
+
-------------------------------------
|
12 |
+
extras: {'current_top1': 64.22, 'best_top1': 64.22, 'best_epoch': 254}
|
13 |
+
-------------------------------------
|
14 |
+
state_dict:
|
15 |
+
conv1_1
|
16 |
+
output_shift: [-0.]
|
17 |
+
adjust_output_shift: [1.]
|
18 |
+
quantize_activation: [1.]
|
19 |
+
shift_quantile: [0.995]
|
20 |
+
weight bits: [8.]
|
21 |
+
bias_bits: [8.]
|
22 |
+
bias
|
23 |
+
total # of elements, shape: 64 , [64]
|
24 |
+
# of unique elements: 64
|
25 |
+
min, max, mean: -0.09915378 , 0.09204 , 0.0063624056
|
26 |
+
weight
|
27 |
+
total # of elements, shape: 1728 , [64, 3, 3, 3]
|
28 |
+
# of unique elements: 1728
|
29 |
+
min, max, mean: -0.84696245 , 1.1112751 , -0.0008976079
|
30 |
+
conv1_2
|
31 |
+
output_shift: [-1.]
|
32 |
+
adjust_output_shift: [1.]
|
33 |
+
quantize_activation: [1.]
|
34 |
+
shift_quantile: [0.995]
|
35 |
+
weight bits: [8.]
|
36 |
+
bias_bits: [8.]
|
37 |
+
bias
|
38 |
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total # of elements, shape: 32 , [32]
|
39 |
+
# of unique elements: 32
|
40 |
+
min, max, mean: -0.2951058 , 0.23640244 , 0.092828415
|
41 |
+
weight
|
42 |
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total # of elements, shape: 2048 , [32, 64, 1, 1]
|
43 |
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|
44 |
+
min, max, mean: -0.7373194 , 0.44878253 , -0.019591264
|
45 |
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conv1_3
|
46 |
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output_shift: [-1.]
|
47 |
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adjust_output_shift: [1.]
|
48 |
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quantize_activation: [1.]
|
49 |
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shift_quantile: [0.995]
|
50 |
+
weight bits: [8.]
|
51 |
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bias_bits: [8.]
|
52 |
+
bias
|
53 |
+
total # of elements, shape: 64 , [64]
|
54 |
+
# of unique elements: 64
|
55 |
+
min, max, mean: -0.30855986 , 0.693667 , 0.08807719
|
56 |
+
weight
|
57 |
+
total # of elements, shape: 18432 , [64, 32, 3, 3]
|
58 |
+
# of unique elements: 18430
|
59 |
+
min, max, mean: -0.6356779 , 0.5100014 , -0.007253295
|
60 |
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conv2_1
|
61 |
+
output_shift: [-3.]
|
62 |
+
adjust_output_shift: [1.]
|
63 |
+
quantize_activation: [1.]
|
64 |
+
shift_quantile: [0.995]
|
65 |
+
weight bits: [8.]
|
66 |
+
bias_bits: [8.]
|
67 |
+
bias
|
68 |
+
total # of elements, shape: 32 , [32]
|
69 |
+
# of unique elements: 32
|
70 |
+
min, max, mean: -0.31673366 , 0.40933654 , 0.06309093
|
71 |
+
weight
|
72 |
+
total # of elements, shape: 18432 , [32, 64, 3, 3]
|
73 |
+
# of unique elements: 18428
|
74 |
+
min, max, mean: -0.20186085 , 0.13162184 , -0.00032190484
|
75 |
+
conv2_2
|
76 |
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output_shift: [-0.]
|
77 |
+
adjust_output_shift: [1.]
|
78 |
+
quantize_activation: [1.]
|
79 |
+
shift_quantile: [0.995]
|
80 |
+
weight bits: [8.]
|
81 |
+
bias_bits: [8.]
|
82 |
+
bias
|
83 |
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total # of elements, shape: 64 , [64]
|
84 |
+
# of unique elements: 64
|
85 |
+
min, max, mean: -0.40663403 , 0.55869764 , 0.0258563
|
86 |
+
weight
|
87 |
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total # of elements, shape: 2048 , [64, 32, 1, 1]
|
88 |
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# of unique elements: 2048
|
89 |
+
min, max, mean: -1.0215096 , 1.1574557 , -0.02458459
|
90 |
+
conv3_1
|
91 |
+
output_shift: [-3.]
|
92 |
+
adjust_output_shift: [1.]
|
93 |
+
quantize_activation: [1.]
|
94 |
+
shift_quantile: [0.995]
|
95 |
+
weight bits: [8.]
|
96 |
+
bias_bits: [8.]
|
97 |
+
bias
|
98 |
+
total # of elements, shape: 128 , [128]
|
99 |
+
# of unique elements: 128
|
100 |
+
min, max, mean: -0.8637496 , 0.5970162 , 0.06503527
|
101 |
+
weight
|
102 |
+
total # of elements, shape: 73728 , [128, 64, 3, 3]
|
103 |
+
# of unique elements: 73691
|
104 |
+
min, max, mean: -0.16972955 , 0.16067581 , -0.0008539596
|
105 |
+
conv3_2
|
106 |
+
output_shift: [-1.]
|
107 |
+
adjust_output_shift: [1.]
|
108 |
+
quantize_activation: [1.]
|
109 |
+
shift_quantile: [0.995]
|
110 |
+
weight bits: [8.]
|
111 |
+
bias_bits: [8.]
|
112 |
+
bias
|
113 |
+
total # of elements, shape: 128 , [128]
|
114 |
+
# of unique elements: 128
|
115 |
+
min, max, mean: -0.6162412 , 0.63014615 , 0.14240861
|
116 |
+
weight
|
117 |
+
total # of elements, shape: 16384 , [128, 128, 1, 1]
|
118 |
+
# of unique elements: 16382
|
119 |
+
min, max, mean: -0.73204803 , 0.53455 , -0.016491221
|
120 |
+
conv4_1
|
121 |
+
output_shift: [-3.]
|
122 |
+
adjust_output_shift: [1.]
|
123 |
+
quantize_activation: [1.]
|
124 |
+
shift_quantile: [0.995]
|
125 |
+
weight bits: [8.]
|
126 |
+
bias_bits: [8.]
|
127 |
+
bias
|
128 |
+
total # of elements, shape: 64 , [64]
|
129 |
+
# of unique elements: 64
|
130 |
+
min, max, mean: -0.8245195 , 0.66664016 , -0.12423959
|
131 |
+
weight
|
132 |
+
total # of elements, shape: 73728 , [64, 128, 3, 3]
|
133 |
+
# of unique elements: 73678
|
134 |
+
min, max, mean: -0.14312877 , 0.1287679 , 0.00032960868
|
135 |
+
conv4_2
|
136 |
+
output_shift: [-2.]
|
137 |
+
adjust_output_shift: [1.]
|
138 |
+
quantize_activation: [1.]
|
139 |
+
shift_quantile: [0.995]
|
140 |
+
weight bits: [8.]
|
141 |
+
bias_bits: [8.]
|
142 |
+
bias
|
143 |
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total # of elements, shape: 128 , [128]
|
144 |
+
# of unique elements: 128
|
145 |
+
min, max, mean: -0.1967214 , 0.20217843 , 0.010209089
|
146 |
+
weight
|
147 |
+
total # of elements, shape: 73728 , [128, 64, 3, 3]
|
148 |
+
# of unique elements: 73682
|
149 |
+
min, max, mean: -0.30298415 , 0.28219885 , -0.0004859008
|
150 |
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conv5_1
|
151 |
+
output_shift: [-1.]
|
152 |
+
adjust_output_shift: [1.]
|
153 |
+
quantize_activation: [1.]
|
154 |
+
shift_quantile: [0.995]
|
155 |
+
weight bits: [8.]
|
156 |
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bias_bits: [8.]
|
157 |
+
bias
|
158 |
+
total # of elements, shape: 128 , [128]
|
159 |
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# of unique elements: 128
|
160 |
+
min, max, mean: -0.38426986 , 0.49884903 , 0.118667394
|
161 |
+
weight
|
162 |
+
total # of elements, shape: 16384 , [128, 128, 1, 1]
|
163 |
+
# of unique elements: 16381
|
164 |
+
min, max, mean: -0.50060964 , 0.63138735 , -0.0021428664
|
165 |
+
fc
|
166 |
+
output_shift: [2.]
|
167 |
+
adjust_output_shift: [1.]
|
168 |
+
quantize_activation: [1.]
|
169 |
+
shift_quantile: [0.995]
|
170 |
+
weight bits: [8.]
|
171 |
+
bias_bits: [8.]
|
172 |
+
bias
|
173 |
+
total # of elements, shape: 100 , [100]
|
174 |
+
# of unique elements: 100
|
175 |
+
min, max, mean: -0.4378246 , 0.25890234 , -0.009742113
|
176 |
+
weight
|
177 |
+
total # of elements, shape: 51200 , [100, 512]
|
178 |
+
# of unique elements: 51182
|
179 |
+
min, max, mean: -4.1657553 , 2.3732517 , -0.2458537
|
checkpoints/maxim000_nas_8b/training_checkpoint.pth.tar
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 4238355
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ADDED
@@ -0,0 +1,3 @@
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1 |
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ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv10.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv11.jpg
ADDED
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Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv12.jpg
ADDED
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Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv13.jpg
ADDED
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Git LFS Details
|
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ADDED
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Git LFS Details
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ADDED
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Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv3.jpg
ADDED
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Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv4.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv5.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv6.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv7.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv8.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_hardware_checkpoint/conv9.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv1.jpg
ADDED
![]() |
Git LFS Details
|
checkpoints/maxim001_simplenet_2b4b8b/histograms_training_checkpoint/conv10.jpg
ADDED
![]() |
Git LFS Details
|
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ADDED
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Git LFS Details
|
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ADDED
![]() |
Git LFS Details
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