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Pass tests/gpu/jit.cpp with BF16 #3639

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Pass tests/gpu/jit.cpp with BF16 #3639

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codecov bot commented Nov 19, 2024 •
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.17%. Comparing base (0ad8073) to head (7a9c3c4).

Additional details and impacted files 
@@           Coverage Diff            @@
##           develop    #3639   +/-   ##
========================================
  Coverage    92.17%   92.17%           
========================================
  Files          513      513           
  Lines        21584    21584           
========================================
  Hits         19895    19895           
  Misses        1689     1689

☔ View full report in Codecov by Sentry.
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@richagadgil richagadgil self-assigned this Nov 20, 2024
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Test Batch Rate new
7a9c3c		 Rate old
0f36aa		 Diff Compare
torchvision-resnet50 64 3,258.85 3,261.99 -0.10% ✅
torchvision-resnet50_fp16 64 6,986.93 6,984.41 0.04% ✅
torchvision-densenet121 32 2,435.70 2,434.46 0.05% ✅
torchvision-densenet121_fp16 32 4,106.47 4,068.77 0.93% ✅
torchvision-inceptionv3 32 1,628.22 1,630.14 -0.12% ✅
torchvision-inceptionv3_fp16 32 2,745.44 2,746.22 -0.03% ✅
cadene-inceptionv4 16 765.32 765.59 -0.04% ✅
cadene-resnext64x4 16 809.48 809.78 -0.04% ✅
slim-mobilenet 64 7,467.43 7,474.57 -0.10% ✅
slim-nasnetalarge 64 208.56 208.58 -0.01% ✅
slim-resnet50v2 64 3,441.71 3,441.49 0.01% ✅
bert-mrpc-onnx 8 1,150.21 1,150.80 -0.05% ✅
bert-mrpc-tf 1 450.14 465.54 -3.31% 🔴
pytorch-examples-wlang-gru 1 454.80 420.06 8.27% 🔆
pytorch-examples-wlang-lstm 1 383.92 381.98 0.51% ✅
torchvision-resnet50_1 1 748.78 750.44 -0.22% ✅
cadene-dpn92_1 1 399.63 398.35 0.32% ✅
cadene-resnext101_1 1 384.39 382.96 0.37% ✅
onnx-taau-downsample 1 345.68 346.08 -0.12% ✅
dlrm-criteoterabyte 1 33.33 33.35 -0.06% ✅
dlrm-criteoterabyte_fp16 1 52.75 52.68 0.12% ✅
agentmodel 1 8,296.35 8,091.53 2.53% ✅
unet_fp16 2 58.83 58.77 0.11% ✅
resnet50v1_fp16 1 934.15 943.16 -0.96% ✅
resnet50v1_int8 1 999.97 1,012.12 -1.20% ✅
bert_base_cased_fp16 64 1,169.82 1,169.97 -0.01% ✅
bert_large_uncased_fp16 32 363.61 363.75 -0.04% ✅
bert_large_fp16 1 198.08 199.03 -0.48% ✅
distilgpt2_fp16 16 2,202.43 2,201.98 0.02% ✅
yolov5s 1 522.79 539.79 -3.15% 🔴
tinyllama 1 43.40 43.42 -0.04% ✅
vicuna-fastchat 1 176.36 175.75 0.35% ✅
whisper-tiny-encoder 1 417.77 418.02 -0.06% ✅
whisper-tiny-decoder 1 426.27 428.37 -0.49% ✅

This build is not recommended to merge 🔴

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     ✅ bert-mrpc-onnx: PASSED: MIGraphX meets tolerance

     ✅ bert-mrpc-tf: PASSED: MIGraphX meets tolerance

     ✅ pytorch-examples-wlang-gru: PASSED: MIGraphX meets tolerance

     ✅ pytorch-examples-wlang-lstm: PASSED: MIGraphX meets tolerance

     ✅ torchvision-resnet50_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-dpn92_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-resnext101_1: PASSED: MIGraphX meets tolerance

     ✅ dlrm-criteoterabyte: PASSED: MIGraphX meets tolerance

     ✅ agentmodel: PASSED: MIGraphX meets tolerance

     ✅ unet: PASSED: MIGraphX meets tolerance

     ✅ resnet50v1: PASSED: MIGraphX meets tolerance

     ✅ bert_base_cased_fp16: PASSED: MIGraphX meets tolerance

🔴bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output


     ✅ bert_large: PASSED: MIGraphX meets tolerance

     ✅ yolov5s: PASSED: MIGraphX meets tolerance

     ✅ tinyllama: PASSED: MIGraphX meets tolerance

     ✅ vicuna-fastchat: PASSED: MIGraphX meets tolerance

     ✅ whisper-tiny-encoder: PASSED: MIGraphX meets tolerance

     ✅ whisper-tiny-decoder: PASSED: MIGraphX meets tolerance

     ✅ distilgpt2_fp16: PASSED: MIGraphX meets tolerance

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