Fix Linux python CUDA package pipeline #22803
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jchen351
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jchen351
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Nov 11, 2024
|
Is it duplicated with #22801 ? |
Yes, kind of, but since they are approach from 2 different shell scripts to address the same issue. I think we can keep both as the safety mechanism. |
snnn
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Nov 12, 2024
snnn
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Nov 13, 2024
guschmue
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Dec 2, 2024
### Description Making ::p optional in the Linux python CUDA package pipeline ### Motivation and Context Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of #22773
ankitm3k
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Dec 11, 2024
### Description Making ::p optional in the Linux python CUDA package pipeline ### Motivation and Context Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of microsoft#22773
ankitm3k
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Dec 11, 2024
### Description Making ::p optional in the Linux python CUDA package pipeline ### Motivation and Context Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of microsoft#22773
ankitm3k
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Dec 11, 2024
### Description Making ::p optional in the Linux python CUDA package pipeline ### Motivation and Context Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of microsoft#22773
alex-spacemit
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Jun 22, 2025
[ARM] MatMulNBits FP16 support - kernels only (microsoft#22806) A break down PR of microsoft#22651 Add fp16 kernels. <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Revert Implement DML copy for Lora Adapters (microsoft#22814) Revert microsoft#22396 Fix issue microsoft#22796 - a typo: (__GNUC__ > 9) -> (__GNUC__ > 10) (microsoft#22807) fix microsoft#22796 Signed-off-by: liqunfu <[email protected]> [js/webgpu] Add scatterND (microsoft#22755) <!-- Describe your changes. --> <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> [WebNN] Remove validation for coordinate_transformation_mode (microsoft#22811) The performance cost of falling back to the CPU EP is high for several resampling nodes and causes multiple partitions in SD Turbo and VAE decoder. Since the asymmetric mode with nearest to floor and integer scales is identical to half_pixel anyway, stick with the WebNN EP. [TensorRT EP] Add new provider option to exclude nodes from running on TRT (microsoft#22681) Add new provider option `trt_op_types_to_exclude`: - User can provide op type list to be excluded from running on TRT - e.g. `trt_op_types_to_exclude="MaxPool"` There is a known performance issue with the DDS ops (NonMaxSuppression, NonZero and RoiAlign) from TRT versions 10.0 to 10.7. TRT EP excludes DDS ops from running on TRT by default, user can override default value with empty string to include all ops. Keep the model metadata on the generated EP context model (microsoft#22825) Keep the model metadata on the generated EP context model [WebNN EP] Fix issues of GRU operator (microsoft#22123) This PR fixes the spelling of the key value of the GRU operator in the map in the `GetSupportedNodes` function (Gru -> GRU) and removes the data type check for the fifth input (sequence_lens) of the GRU operator. PTAL, thanks! Auto-generated baselines by 1ES Pipeline Templates (microsoft#22817) Fix Linux python CUDA package pipeline (microsoft#22803) Making ::p optional in the Linux python CUDA package pipeline Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of microsoft#22773 [WebNN] Fix MLTensorUsage is undefined issue (microsoft#22831) `MLTensorUsage` has been removed from Chromium: https://chromium-review.googlesource.com/c/chromium/src/+/6015318, but we still need to make it compatible with old Chrome versions, so just make it `undefined` for latest Chrome version. Enable ConvReplaceWithQLinear when using ACL (microsoft#22823) Enable the ConvReplaceWithQLinear graph optimization when using the ACL execution provider. Fixes an issue where quantized Conv nodes followed by ReLU don't get converted to QLinearConv, so ACL sees the weights as mutable and therefore cannot run the Conv node. Signed-off-by: Michael Tyler <[email protected]> [CUDA] stable diffusion benchmark allows IO binding for optimum (microsoft#22834) Update stable diffusion benchmark: (1) allow IO binding for optimum. (2) do not use num_images_per_prompt across all engines for fair comparison. Example to run benchmark of optimum on stable diffusion 1.5: ``` git clone https://github.com/tianleiwu/optimum cd optimum git checkout tlwu/diffusers-io-binding pip install -e . pip install -U onnxruntime-gpu git clone https://github.com/microsoft/onnxruntime cd onnxruntime/onnxruntime/python/tools/transformers/models/stable_diffusion git checkout tlwu/benchmark_sd_optimum_io_binding pip install -r requirements/cuda12/requirements.txt optimum-cli export onnx --model runwayml/stable-diffusion-v1-5 --task text-to-image ./sd_onnx_fp32 python optimize_pipeline.py -i ./sd_onnx_fp32 -o ./sd_onnx_fp16 --float16 python benchmark.py -e optimum -r cuda -v 1.5 -p ./sd_onnx_fp16 python benchmark.py -e optimum -r cuda -v 1.5 -p ./sd_onnx_fp16 --use_io_binding ``` Example output in H100_80GB_HBM3: 572 ms with IO Binding; 588 ms without IO Binding; IO binding gains 16ms, or 2.7%, Optimum is working on enabling I/O binding: huggingface/optimum#2056. This could help testing the impact of I/O binding on the performance of the stable diffusion. Fix Linux CI pipeline where ep was not provided for py-packaging-linux-test-cpu.yml (microsoft#22828) Current linux-ci-pipeline was broken due to missing parameters from `py-packaging-linux-test-cpu.yml` template Fix Linux CI pipeline Register groupnorm for opset 21 (microsoft#22830) This PR registers GroupNormalization for opset 21 <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix spellchecks from Optional Lint (microsoft#22802) <!-- Describe your changes. --> <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Change-Id: I561dfcdadcc6fa4cda899ef3bb181f0713fadebb
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Description
Making ::p optional in the Linux python CUDA package pipeline
Motivation and Context
Linux stage from Python-CUDA-Packaging-Pipeline has failed since merge of #22773