mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-12 17:57:38 +00:00
dae77e6014
### How to run it locally
1. conda install ninja
2. "C:\Program Files\Microsoft Visual
Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" x64
3. python.exe {ort_repo}\tools\ci_build\build.py --config RelWithDebInfo
--build_dir {ort_repo}\build_cuda --skip_submodule_sync --build_csharp
--update --parallel --cmake_generator "Ninja" --build_shared_lib
--enable_onnx_tests --enable_pybind --build_java --build_nodejs
--use_cuda "--cuda_home=C:\Program Files\NVIDIA GPU Computing
Toolkit\CUDA\v11.8" --enable_cuda_profiling --cmake_extra_defines
CMAKE_CUDA_ARCHITECTURES=60
4. cd build_cuda\RelWithDebInfo
5. cmake --build . j16
### Motivation and Context
In packaging pipelines, we often come across a random issue that the
building with CUDA on Windows takes too much time.
Although it has been reduced much by moving the building to the CPU
machine.
We're planning to build with Ninja instead of msbuild in Packaging
pipelines, thus, nvcc can run parallelly.
It's the first step to support it locally.
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|---|---|---|
| .. | ||
| external | ||
| patches | ||
| tensorboard | ||
| adjust_global_compile_flags.cmake | ||
| arm64x.cmake | ||
| CMakeLists.txt | ||
| CMakeSettings.json | ||
| codeconv.runsettings | ||
| deps.txt | ||
| deps_update_and_upload.py | ||
| EnableVisualStudioCodeAnalysis.props | ||
| gdk_toolchain.cmake | ||
| Info.plist.in | ||
| libonnxruntime.pc.cmake.in | ||
| linux_arm32_crosscompile_toolchain.cmake | ||
| linux_arm64_crosscompile_toolchain.cmake | ||
| maccatalyst_prepare_objects_for_prelink.py | ||
| nuget_helpers.cmake | ||
| onnxruntime.cmake | ||
| onnxruntime_codegen_tvm.cmake | ||
| onnxruntime_common.cmake | ||
| onnxruntime_compile_triton_kernel.cmake | ||
| onnxruntime_config.h.in | ||
| onnxruntime_csharp.cmake | ||
| onnxruntime_flatbuffers.cmake | ||
| onnxruntime_framework.cmake | ||
| onnxruntime_framework.natvis | ||
| onnxruntime_fuzz_test.cmake | ||
| onnxruntime_graph.cmake | ||
| onnxruntime_ios.toolchain.cmake | ||
| onnxruntime_java.cmake | ||
| onnxruntime_java_unittests.cmake | ||
| onnxruntime_kernel_explorer.cmake | ||
| onnxruntime_language_interop_ops.cmake | ||
| onnxruntime_mlas.cmake | ||
| onnxruntime_nodejs.cmake | ||
| onnxruntime_objectivec.cmake | ||
| onnxruntime_opschema_lib.cmake | ||
| onnxruntime_optimizer.cmake | ||
| onnxruntime_providers.cmake | ||
| onnxruntime_providers_acl.cmake | ||
| onnxruntime_providers_armnn.cmake | ||
| onnxruntime_providers_azure.cmake | ||
| onnxruntime_providers_cann.cmake | ||
| onnxruntime_providers_coreml.cmake | ||
| onnxruntime_providers_cpu.cmake | ||
| onnxruntime_providers_cuda.cmake | ||
| onnxruntime_providers_dml.cmake | ||
| onnxruntime_providers_dnnl.cmake | ||
| onnxruntime_providers_js.cmake | ||
| onnxruntime_providers_migraphx.cmake | ||
| onnxruntime_providers_nnapi.cmake | ||
| onnxruntime_providers_openvino.cmake | ||
| onnxruntime_providers_qnn.cmake | ||
| onnxruntime_providers_rknpu.cmake | ||
| onnxruntime_providers_rocm.cmake | ||
| onnxruntime_providers_tensorrt.cmake | ||
| onnxruntime_providers_tvm.cmake | ||
| onnxruntime_providers_vitisai.cmake | ||
| onnxruntime_providers_webnn.cmake | ||
| onnxruntime_providers_xnnpack.cmake | ||
| onnxruntime_pyop.cmake | ||
| onnxruntime_python.cmake | ||
| onnxruntime_rocm_hipify.cmake | ||
| onnxruntime_session.cmake | ||
| onnxruntime_snpe_provider.cmake | ||
| onnxruntime_training.cmake | ||
| onnxruntime_unittests.cmake | ||
| onnxruntime_util.cmake | ||
| onnxruntime_webassembly.cmake | ||
| precompiled_header.cmake | ||
| riscv64.toolchain.cmake | ||
| Sdl.ruleset | ||
| set_winapi_family_desktop.h | ||
| target_delayload.cmake | ||
| uwp_stubs.h | ||
| wcos_rules_override.cmake | ||
| winml.cmake | ||
| winml_cppwinrt.cmake | ||
| winml_sdk_helpers.cmake | ||
| winml_unittests.cmake | ||