mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-21 19:18:55 +00:00
eb9b377306
### Description - Update pipelines to use QNN SDK 2.24 by default - Update QNN_Nuget_Windows pipeline to build csharp solution without mobile projects (fixes errors). - Implement workaround for QNN 2.24 validation bug for LayerNorm ops without an explicit bias input. - Enable Relu unit test, which now passes due to the fact Relu is no longer fused into QuantizeLinear for QNN EP. - Fix bug where a negative quantization axis is not properly normalized for per-channel int4 conv. ### Motivation and Context Update QNN SDk.
113 lines
3.1 KiB
YAML
113 lines
3.1 KiB
YAML
##### start trigger Don't edit it manually, Please do edit set-trigger-rules.py ####
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trigger:
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branches:
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include:
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- main
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- rel-*
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paths:
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exclude:
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- docs/**
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- README.md
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- CONTRIBUTING.md
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- BUILD.md
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- 'js/web'
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- 'onnxruntime/core/providers/js'
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pr:
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branches:
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include:
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- main
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- rel-*
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paths:
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exclude:
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- docs/**
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- README.md
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- CONTRIBUTING.md
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- BUILD.md
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- 'js/web'
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- 'onnxruntime/core/providers/js'
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#### end trigger ####
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parameters:
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- name: QnnSdk
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displayName: QNN SDK version
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type: string
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default: 2.24.0.240626
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jobs:
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- job: Build_QNN_EP
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pool: onnxruntime-qnn-ubuntu-2204-cpu
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timeoutInMinutes: 60
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workspace:
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clean: all
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steps:
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- script: |
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ls -R /data/qnn_test_data
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displayName: Check QNN test data
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- task: UsePythonVersion@0
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displayName: Use Python $(pythonVersion)
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inputs:
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versionSpec: $(pythonVersion)
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- script: sudo apt-get update -y && sudo apt-get install -y coreutils ninja-build
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displayName: Install coreutils and ninja
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- template: templates/jobs/download_linux_qnn_sdk.yml
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parameters:
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QnnSDKVersion: ${{ parameters.QnnSdk }}
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- script: |
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python3 tools/ci_build/build.py \
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--build_dir build \
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--config Release \
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--parallel --use_binskim_compliant_compile_flags \
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--use_qnn \
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--qnn_home $(QnnSDKRootDir) \
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--cmake_generator=Ninja \
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--skip_tests
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displayName: Build QNN EP
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- script: |
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python3 tools/ci_build/build.py \
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--build_dir build \
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--config Release --use_binskim_compliant_compile_flags \
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--test \
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--qnn_home $(QnnSDKRootDir) \
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--cmake_generator=Ninja \
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--skip_submodule_sync \
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--ctest_path ""
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displayName: Run unit tests
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- task: CmdLine@2
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displayName: Run ONNX tests
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inputs:
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script: |
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./build/Release/onnx_test_runner -e qnn \
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-v -j 1 -i "backend_path|$(QnnSDKRootDir)/lib/x86_64-linux-clang/libQnnCpu.so" \
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cmake/external/onnx/onnx/backend/test/data/node
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- task: CmdLine@2
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displayName: Run float32 model tests
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inputs:
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script: |
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./build/Release/onnx_test_runner -e qnn \
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-v -j 1 -i "backend_path|$(QnnSDKRootDir)/lib/x86_64-linux-clang/libQnnCpu.so" \
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/data/float32_models
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- task: CmdLine@2
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displayName: Run QDQ model tests
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inputs:
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script: |
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./build/Release/onnx_test_runner -e qnn \
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-v -j 1 -i "backend_path|$(QnnSDKRootDir)/lib/x86_64-linux-clang/libQnnHtp.so" \
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/data/qdq_models
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- task: CmdLine@2
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displayName: Run QDQ model tests with context cache enabled
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inputs:
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script: |
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./build/Release/onnx_test_runner -e qnn \
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-v -f -j 1 -i "backend_path|$(QnnSDKRootDir)/lib/x86_64-linux-clang/libQnnHtp.so" \
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/data/qdq_models/mobilenetv2-1.0_add_transpose_quant
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