AMDMIGraphX
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Weight stripping
Base version of weight stripping implemented.
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 92.04%. Comparing base (
1cd2854) to head (6676521).
Additional details and impacted files
@@ Coverage Diff @@
## develop #3416 +/- ##
========================================
Coverage 92.04% 92.04%
========================================
Files 506 506
Lines 20872 20873 +1
========================================
+ Hits 19212 19213 +1
Misses 1660 1660
| Flag | Coverage Δ | |
|---|---|---|
92.04% <ø> (+<0.01%) |
:arrow_up: |
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Data from weight stripping:
The literals combined is how it will work if the weights folder is not deleted, if not touched the weight folder will share all weights from all quantizations. Total size if total size that compilation took
| Test | Batch | Rate new ff0182 |
Rate old b6b228 |
Diff | Compare |
|---|---|---|---|---|---|
| torchvision-resnet50 | 64 | 3,252.25 | 3,244.98 | 0.22% | :white_check_mark: |
| torchvision-resnet50_fp16 | 64 | 6,996.23 | 6,978.98 | 0.25% | :white_check_mark: |
| torchvision-densenet121 | 32 | 2,432.70 | 2,430.28 | 0.10% | :white_check_mark: |
| torchvision-densenet121_fp16 | 32 | 4,074.13 | 4,069.20 | 0.12% | :white_check_mark: |
| torchvision-inceptionv3 | 32 | 1,636.23 | 1,633.12 | 0.19% | :white_check_mark: |
| torchvision-inceptionv3_fp16 | 32 | 2,741.44 | 2,735.44 | 0.22% | :white_check_mark: |
| cadene-inceptionv4 | 16 | 775.52 | 776.01 | -0.06% | :white_check_mark: |
| cadene-resnext64x4 | 16 | 808.53 | 807.20 | 0.16% | :white_check_mark: |
| slim-mobilenet | 64 | 7,458.93 | 7,449.39 | 0.13% | :white_check_mark: |
| slim-nasnetalarge | 64 | 207.97 | 207.58 | 0.19% | :white_check_mark: |
| slim-resnet50v2 | 64 | 3,343.73 | 3,339.82 | 0.12% | :white_check_mark: |
| bert-mrpc-onnx | 8 | 1,152.83 | 1,151.95 | 0.08% | :white_check_mark: |
| bert-mrpc-tf | 1 | 312.21 | 312.09 | 0.04% | :white_check_mark: |
| pytorch-examples-wlang-gru | 1 | 418.97 | 426.46 | -1.76% | :white_check_mark: |
| pytorch-examples-wlang-lstm | 1 | 386.43 | 378.80 | 2.01% | :white_check_mark: |
| torchvision-resnet50_1 | 1 | 804.52 | 807.34 | -0.35% | :white_check_mark: |
| cadene-dpn92_1 | 1 | 433.78 | 415.79 | 4.33% | :high_brightness: |
| cadene-resnext101_1 | 1 | 383.62 | 380.36 | 0.86% | :white_check_mark: |
| onnx-taau-downsample | 1 | 344.80 | 344.49 | 0.09% | :white_check_mark: |
| dlrm-criteoterabyte | 1 | 35.09 | 35.03 | 0.17% | :white_check_mark: |
| dlrm-criteoterabyte_fp16 | 1 | 58.13 | 58.10 | 0.05% | :white_check_mark: |
| agentmodel | 1 | 8,201.23 | 8,096.18 | 1.30% | :white_check_mark: |
| unet_fp16 | 2 | 57.99 | 57.91 | 0.13% | :white_check_mark: |
| resnet50v1_fp16 | 1 | 925.68 | 928.31 | -0.28% | :white_check_mark: |
| resnet50v1_int8 | 1 | 982.49 | 940.28 | 4.49% | :high_brightness: |
| bert_base_cased_fp16 | 64 | 1,153.82 | 1,151.15 | 0.23% | :white_check_mark: |
| bert_large_uncased_fp16 | 32 | 355.68 | 355.17 | 0.14% | :white_check_mark: |
| bert_large_fp16 | 1 | 212.25 | 211.59 | 0.31% | :white_check_mark: |
| distilgpt2_fp16 | 16 | 2,152.28 | 2,157.04 | -0.22% | :white_check_mark: |
| yolov5s | 1 | 540.85 | 528.24 | 2.39% | :white_check_mark: |
| tinyllama | 1 | 43.44 | 43.34 | 0.24% | :white_check_mark: |
| vicuna-fastchat | 1 | 170.84 | 171.71 | -0.50% | :white_check_mark: |
| whisper-tiny-encoder | 1 | 407.54 | 406.85 | 0.17% | :white_check_mark: |
| whisper-tiny-decoder | 1 | 429.89 | 433.17 | -0.76% | :white_check_mark: |
Check results before merge :high_brightness:
:red_circle:bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output
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