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[docs] Remove old references to Nuphar EP. (#15774)

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Edward Chen 2023-06-08 16:46:16 -07:00 committed by GitHub
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79
docs/build/eps.md vendored
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@ -331,83 +331,6 @@ Usage: --use_openvino CPU_FP32_NO_PARTITION or --use_openvino GPU_FP32_NO_PARTIT
For more information on OpenVINO™ Execution Provider's ONNX Layer support, Topology support, and Intel hardware enabled, please refer to the document [OpenVINO™-ExecutionProvider](../execution-providers/OpenVINO-ExecutionProvider.md)
---
### Prerequisites
{: .no_toc }
* The Nuphar execution provider for ONNX Runtime is built and tested with LLVM 9.0.0. Because of TVM's requirement when building with LLVM, you need to build LLVM from source. To build the debug flavor of ONNX Runtime, you need the debug build of LLVM.
* Windows (Visual Studio 2017):
```
REM download llvm source code 9.0.0 and unzip to \llvm\source\path, then install to \llvm\install\path
cd \llvm\source\path
mkdir build
cd build
cmake .. -G "Visual Studio 15 2017 Win64" -DLLVM_TARGETS_TO_BUILD=X86 -DLLVM_ENABLE_DIA_SDK=OFF
msbuild llvm.sln /maxcpucount /p:Configuration=Release /p:Platform=x64
cmake -DCMAKE_INSTALL_PREFIX=\llvm\install\path -DBUILD_TYPE=Release -P cmake_install.cmake
```
*Note that following LLVM cmake patch is necessary to make the build work on Windows, Linux does not need to apply the patch.*
The patch is to fix the linking warning LNK4199 caused by this [LLVM commit](https://github.com/llvm-mirror/llvm/commit/148f823e4845c9a13faea62e3105abb80b39e4bc)
```
diff --git "a/lib\\Support\\CMakeLists.txt" "b/lib\\Support\\CMakeLists.txt"
index 7dfa97c..6d99e71 100644
--- "a/lib\\Support\\CMakeLists.txt"
+++ "b/lib\\Support\\CMakeLists.txt"
@@ -38,12 +38,6 @@ elseif( CMAKE_HOST_UNIX )
endif()
endif( MSVC OR MINGW )
-# Delay load shell32.dll if possible to speed up process startup.
-set (delayload_flags)
-if (MSVC)
- set (delayload_flags delayimp -delayload:shell32.dll -delayload:ole32.dll)
-endif()
-
# Link Z3 if the user wants to build it.
if(LLVM_WITH_Z3)
set(Z3_LINK_FILES ${Z3_LIBRARIES})
@@ -187,7 +181,7 @@ add_llvm_library(LLVMSupport
${LLVM_MAIN_INCLUDE_DIR}/llvm/ADT
${LLVM_MAIN_INCLUDE_DIR}/llvm/Support
${Backtrace_INCLUDE_DIRS}
- LINK_LIBS ${system_libs} ${delayload_flags} ${Z3_LINK_FILES}
+ LINK_LIBS ${system_libs} ${Z3_LINK_FILES}
)
set_property(TARGET LLVMSupport PROPERTY LLVM_SYSTEM_LIBS "${system_libs}")
```
* Linux
Download llvm source code 9.0.0 and unzip to /llvm/source/path, then install to /llvm/install/path
```
cd /llvm/source/path
mkdir build
cd build
cmake .. -DLLVM_TARGETS_TO_BUILD=X86 -DCMAKE_BUILD_TYPE=Release
make -j$(nproc)
cmake -DCMAKE_INSTALL_PREFIX=/llvm/install/path -DBUILD_TYPE=Release -P cmake_install.cmake
```
### Build Instructions
{: .no_toc }
#### Windows
```
.\build.bat --llvm_path=\llvm\install\path\lib\cmake\llvm --use_mklml --use_nuphar --build_shared_lib --build_csharp --enable_pybind --config=Release
```
* These instructions build the release flavor. The Debug build of LLVM would be needed to build with the Debug flavor of ONNX Runtime.
#### Linux:
```
./build.sh --llvm_path=/llvm/install/path/lib/cmake/llvm --use_mklml --use_nuphar --build_shared_lib --build_csharp --enable_pybind --config=Release
```
Dockerfile instructions are available [here](https://github.com/microsoft/onnxruntime/tree/main/dockerfiles#nuphar).
---
## QNN
@ -483,7 +406,7 @@ alias cmake="/usr/bin/cmake -DCMAKE_TOOLCHAIN_FILE=$OECORE_NATIVE_SYSROOT/usr/sh
1. Configure ONNX Runtime with ACL support:
```
cmake ../onnxruntime-arm-upstream/cmake -DONNX_CUSTOM_PROTOC_EXECUTABLE=/usr/bin/protoc -Donnxruntime_RUN_ONNX_TESTS=OFF -Donnxruntime_GENERATE_TEST_REPORTS=ON -Donnxruntime_DEV_MODE=ON -DPYTHON_EXECUTABLE=/usr/bin/python3 -Donnxruntime_USE_CUDA=OFF -Donnxruntime_USE_NSYNC=OFF -Donnxruntime_CUDNN_HOME= -Donnxruntime_USE_JEMALLOC=OFF -Donnxruntime_ENABLE_PYTHON=OFF -Donnxruntime_BUILD_CSHARP=OFF -Donnxruntime_BUILD_SHARED_LIB=ON -Donnxruntime_USE_EIGEN_FOR_BLAS=ON -Donnxruntime_USE_OPENBLAS=OFF -Donnxruntime_USE_ACL=ON -Donnxruntime_USE_DNNL=OFF -Donnxruntime_USE_MKLML=OFF -Donnxruntime_USE_OPENMP=ON -Donnxruntime_USE_TVM=OFF -Donnxruntime_USE_LLVM=OFF -Donnxruntime_ENABLE_MICROSOFT_INTERNAL=OFF -Donnxruntime_USE_BRAINSLICE=OFF -Donnxruntime_USE_NUPHAR=OFF -Donnxruntime_USE_EIGEN_THREADPOOL=OFF -Donnxruntime_BUILD_UNIT_TESTS=ON -DCMAKE_BUILD_TYPE=RelWithDebInfo
cmake ../onnxruntime-arm-upstream/cmake -DONNX_CUSTOM_PROTOC_EXECUTABLE=/usr/bin/protoc -Donnxruntime_RUN_ONNX_TESTS=OFF -Donnxruntime_GENERATE_TEST_REPORTS=ON -Donnxruntime_DEV_MODE=ON -DPYTHON_EXECUTABLE=/usr/bin/python3 -Donnxruntime_USE_CUDA=OFF -Donnxruntime_USE_NSYNC=OFF -Donnxruntime_CUDNN_HOME= -Donnxruntime_USE_JEMALLOC=OFF -Donnxruntime_ENABLE_PYTHON=OFF -Donnxruntime_BUILD_CSHARP=OFF -Donnxruntime_BUILD_SHARED_LIB=ON -Donnxruntime_USE_EIGEN_FOR_BLAS=ON -Donnxruntime_USE_OPENBLAS=OFF -Donnxruntime_USE_ACL=ON -Donnxruntime_USE_DNNL=OFF -Donnxruntime_USE_MKLML=OFF -Donnxruntime_USE_OPENMP=ON -Donnxruntime_USE_TVM=OFF -Donnxruntime_USE_LLVM=OFF -Donnxruntime_ENABLE_MICROSOFT_INTERNAL=OFF -Donnxruntime_USE_BRAINSLICE=OFF -Donnxruntime_USE_EIGEN_THREADPOOL=OFF -Donnxruntime_BUILD_UNIT_TESTS=ON -DCMAKE_BUILD_TYPE=RelWithDebInfo
```
The ```-Donnxruntime_USE_ACL=ON``` option will use, by default, the 19.05 version of the Arm Compute Library. To set the right version you can use:
```-Donnxruntime_USE_ACL_1902=ON```, ```-Donnxruntime_USE_ACL_1905=ON```, ```-Donnxruntime_USE_ACL_1908=ON``` or ```-Donnxruntime_USE_ACL_2002=ON```;

6
js/script.js
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@ -985,9 +985,6 @@ var validCombos = {
"windows,Java,X64,DNNL":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",
"windows,Java,X64,NUPHAR":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",
"windows,Java,X64,OpenVINO":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",
@ -997,9 +994,6 @@ var validCombos = {
"linux,Java,X64,DNNL":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",
"linux,Java,X64,NUPHAR":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",
"linux,Java,X64,OpenVINO":
"Follow <a href='http://www.onnxruntime.ai/docs/build/inferencing.html#common-build-instructions' target='_blank'>build</a> and <a href='https://aka.ms/onnxruntime-java' target='_blank'>API instructions</a>",