mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-26 22:35:43 +00:00
544e53e24e
* remove onnx-tensorrt submodule * add new onnx-tensorrt submodule (experiment) for trt6 * update engine build for trt6 * update compile and compute for tensorrt6.0 * Update tensorrt_execution_provider.cc * Update tensorrt_execution_provider.cc * Update tensorrt_execution_provider.cc * Update tensorrt_execution_provider.cc * switch to onnx-tensorrt master for TensorRT6' * Update tensorrt_execution_provider.cc * Handle dynamic batch size and add memcpy in TensorRT EP * update test cases * Update tensorrt_execution_provider.cc * update onnx-tensorrt submodule * Update Dockerfile.ubuntu_tensorrt * Update Dockerfile.ubuntu_tensorrt * Update run_dockerbuild.sh * Update run_dockerbuild.sh * Update install_ubuntu.sh * Update concat_op_test.cc * Update tensorrt_execution_provider.cc * Upgrade TensorRT to version 6.0.1.5 * Update onnxruntime_providers.cmake * Update CMakeLists.txt * Update reduction_ops_test.cc * Update install_ubuntu.sh * Update Dockerfile.ubuntu_tensorrt * Update Dockerfile.tensorrt * Update BUILD.md * Update run_dockerbuild.sh * Update install_ubuntu.sh * Update onnxruntime_providers.cmake * Update install_ubuntu.sh * Update install_ubuntu.sh * Update gemm_test.cc * Update gather_op_test.cc * Update CMakeLists.txt * Removed submodule * update onnx-tensorrt submodule * Add Ubuntu18.04 build option * Add Ubuntu18.04 build option * Add Ubuntu18.04 build option * Add Ubuntu18.04 build option * Remove redundency * Fix issue that it does not add memcopy node correctly if some nodes fall back to CUDA EP. e.g. after partition, there's TRT_Node -> Cuda_node (with CPU memory expected), we still need to add memcpy node between them. * update for Trt Windows build * Update onnxruntime_providers.cmake * Disable opset11 tests on TensorRT * Update pad_test.cc * Update build.py * update scripts for ubuntu18.04 * Disable warning for Windows build
31 lines
1.3 KiB
YAML
31 lines
1.3 KiB
YAML
jobs:
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- job: Linux_CI_GPU_TENSORRT_Dev
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pool: Linux-GPU-CUDA10
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steps:
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- template: templates/set-test-data-variables-step.yml
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- task: CmdLine@2
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displayName: 'Download azcopy'
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inputs:
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script: |
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curl -so azcopy.tar.gz -L 'https://aka.ms/downloadazcopy-v10-linux'
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tar -zxvf azcopy.tar.gz --strip 1
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workingDirectory: $(Build.BinariesDirectory)
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- task: PythonScript@0
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displayName: 'Download test data'
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inputs:
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scriptPath: '$(Build.SourcesDirectory)/tools/ci_build/github/download_test_data.py'
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arguments: --test_data_url $(TestDataUrl) --build_dir $(Build.BinariesDirectory)
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pythonInterpreter: '/usr/bin/python3'
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workingDirectory: $(Build.BinariesDirectory)
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# The latest TensorRT container (R19.09) only supports ubuntu18.04
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- script: 'tools/ci_build/github/linux/run_dockerbuild.sh -o ubuntu18.04 -d tensorrt -r $(Build.BinariesDirectory) -p 3.6 -x "--build_wheel"'
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displayName: 'Command Line Script'
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- task: ms.vss-governance-buildtask.governance-build-task-component-detection.ComponentGovernanceComponentDetection@0
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displayName: 'Component Detection'
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condition: and(succeeded(), in(variables['Build.Reason'], 'IndividualCI', 'BatchedCI'))
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- template: templates/clean-agent-build-directory-step.yml
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