mirror of
https://github.com/saymrwulf/onnxruntime.git
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4b5b5f7101
### Description This PR is to update the win-ort-main branch to the tip main branch as of 2025-01-23. ### PR List ddf0d377a7 [QNN EP] Add LoggingManager::HasDefaultLogger() to provider bridge API (#23467) 05fbbdf91f [QNN EP] Make QNN EP a shared library (#23120) 1336566d7f Add custom vcpkg ports (#23456) 2e1173c411 Update the compile flags for vcpkg packages (#23455) 1f628a9858 [Mobile] Add BrowserStack Android MAUI Test (#23383) 009cae0ec8 [js/webgpu] Optimize ConvTranspose (Continue) (#23429) 04a4a694cb Use onnx_protobuf.h to suppress some GCC warnings (#23453) 2e3b62b4b0 Suppress some strict-aliasing related warnings in WebGPU EP (#23454) b708f9b1dc Bump ruff from 0.9.1 to 0.9.2 (#23427) c0afc66b2a [WebNN] Remove workarounds for TFLite backend (#23406) 8a821ff7f9 Bump vite from 6.0.7 to 6.0.11 in /js/web/test/e2e/exports/testcases/vite-default (#23446) 220c1a203e Make ORT and Dawn use the same protobuf/abseil source code (#23447) b7b5792147 Change MacOS-13 to ubuntu on for android-java-api-aar-test.yml. (#23444) 19d0d2a30f WIP: Dp4MatMulNBits accuracy level 4 matmul for WebGPU EP (#23365) 95b8effbc4 [QNN EP]: Clean up QNN logging resources if an error occurs during initialization (#23435) 626134c5b5 Bump clang-format from 19.1.6 to 19.1.7 (#23428) 0cf975301f Fix eigen external deps (#23439) f9440aedce Moving RN_CI Android Testing to Linux (#23422) 1aa5902ff4 [QNN EP] workaround for QNN validation bug for Tanh with uint16 quantized output (#23432) 7f5582a0e2 Seperate RN andriod and IOS into 2 separated Stages. (#23400) 73deac2e7f Implement some missing element wise Add/Sub/Mul/Div/Neg operations for CPU and CUDA EPs (#23090) 949fe42af4 Upgrade Java version from react-native/android to Java 17 (#23066) 0892c23463 Update Qnn SDK default version to 2.30 (#23411) 94c099bcec Fix type cast build error (#23423) d633e571d1 [WebNN EP] Fix AddInitializersToSkip issues (#23354) e988ef00e2 [QNN EP] Fix regression for MatMul with two quantized/dynamic uint16 inputs (#23419) 7538795f6b Update onnxruntime binary size checks ci pipeline's docker image (#23405) 6c5ea41cad Revert "[QNN EP] Clean up correctly from a partial setup (#23320)" (#23420) e866804bbe Enable comprehension simplification in ruff rules (#23414) 0a5f1f392c bugfix: string_view of invalid memory (#23417) 4cc38e0277 fix crash when first input of BatchNormalization is 1-D (#23387) 033441487f Target py310 and modernize codebase with ruff (#23401) 87341ac010 [QNN EP] Fix segfault when unregistering HTP shared memory handles (#23402) ### Motivation and Context This update includes the change to make QNN-EP a shared library. --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Adrian Lizarraga <adlizarraga@microsoft.com> Co-authored-by: Justin Chu <justinchuby@users.noreply.github.com> Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com> Co-authored-by: Changming Sun <chasun@microsoft.com> Co-authored-by: Peishen Yan <peishen.yan@intel.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com> Co-authored-by: Hector Li <hecli@microsoft.com> Co-authored-by: Jian Chen <cjian@microsoft.com> Co-authored-by: Alexis Tsogias <1114095+Zyrin@users.noreply.github.com> Co-authored-by: junchao-zhao <68935141+junchao-loongson@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: sushraja-msft <44513542+sushraja-msft@users.noreply.github.com> Co-authored-by: Wanming Lin <wanming.lin@intel.com> Co-authored-by: Jiajia Qin <jiajiaqin@microsoft.com> Co-authored-by: Caroline Zhu <wolfivyaura@gmail.com>
86 lines
2.9 KiB
Python
86 lines
2.9 KiB
Python
# -------------------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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# --------------------------------------------------------------------------
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# This script is used to add trigger rules to the workflow files.
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from __future__ import annotations
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import multiprocessing
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import os
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from os.path import abspath, dirname
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skip_doc_changes = ["web-ci-pipeline.yml"]
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skip_js_changes = [
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"android-arm64-v8a-QNN-crosscompile-ci-pipeline.yml",
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"android-x86_64-crosscompile-ci-pipeline.yml",
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"bigmodels-ci-pipeline.yml",
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"linux-ci-pipeline.yml",
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"linux-cpu-aten-pipeline.yml",
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"linux-cpu-eager-pipeline.yml",
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"linux-dnnl-ci-pipeline.yml",
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"linux-gpu-ci-pipeline.yml",
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"linux-gpu-tensorrt-ci-pipeline.yml",
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"linux-migraphx-ci-pipeline.yml",
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"linux-openvino-ci-pipeline.yml",
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"linux-qnn-ci-pipeline.yml",
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"linux-rocm-ci-pipeline.yml",
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"mac-ci-pipeline.yml",
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"mac-coreml-ci-pipeline.yml",
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"mac-ios-ci-pipeline.yml",
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"mac-ios-packaging-pipeline.yml",
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"mac-react-native-ci-pipeline.yml",
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"win-ci-pipeline.yml",
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"win-gpu-dml-ci-pipeline.yml",
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"win-gpu-cuda-ci-pipeline.yml",
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"win-gpu-doc-gen-ci-pipeline.yml",
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"win-gpu-tensorrt-ci-pipeline.yml",
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"win-gpu-webgpu-ci-pipeline.yml",
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"win-qnn-arm64-ci-pipeline.yml",
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"win-qnn-ci-pipeline.yml",
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]
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def add_trigger_filter(file_name, trigger_lines):
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# Open the file and read its lines
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with open(file_name) as f:
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lines = f.readlines()
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start_marker = f"##### start trigger Don't edit it manually, Please do edit {os.path.basename(__file__)} ####"
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end_marker = "#### end trigger ####\n"
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reminder = f"### please do rerun {os.path.basename(__file__)} ###"
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trigger_lines.insert(0, f"{reminder}\n")
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if lines[0].startswith(start_marker):
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for i in range(1, len(lines)):
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if lines[i].startswith(end_marker):
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lines[1:i] = trigger_lines
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break
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else:
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trigger_lines.insert(0, start_marker + "\n")
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trigger_lines.extend(end_marker + "\n")
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lines[0:0] = trigger_lines
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with open(file_name, "w") as f:
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f.writelines(lines)
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print("Added trigger rules to file: " + file_name)
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def main():
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working_dir = os.path.join(dirname(abspath(__file__)), "github/azure-pipelines")
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os.chdir(working_dir)
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trigger_rules = {"skip-docs.yml": skip_doc_changes, "skip-js.yml": skip_js_changes}
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for key, skip_changes in trigger_rules.items():
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trigger_file = os.path.join(working_dir, "triggers", key)
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with open(trigger_file) as f1:
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trigger_lines = f1.readlines()
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pool = multiprocessing.Pool()
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pool.starmap(add_trigger_filter, [(file, trigger_lines) for file in skip_changes])
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pool.close()
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pool.join()
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if __name__ == "__main__":
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main()
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