mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-18 18:52:16 +00:00
ff58f621fa
* Remove nGraph Execution Provider Pursuant to nGraph deprecation notice: https://github.com/microsoft/onnxruntime/blob/master/docs/execution_providers/nGraph-ExecutionProvider.md#deprecation-notice **Deprecation Notice** | | | | --- | --- | | Deprecation Begins | June 1, 2020 | | Removal Date | December 1, 2020 | Starting with the OpenVINO™ toolkit 2020.2 release, all of the features previously available through nGraph have been merged into the OpenVINO™ toolkit. As a result, all the features previously available through ONNX RT Execution Provider for nGraph have been merged with ONNX RT Execution Provider for OpenVINO™ toolkit. Therefore, ONNX RT Execution Provider for **nGraph** will be deprecated starting June 1, 2020 and will be completely removed on December 1, 2020. Users are recommended to migrate to the ONNX RT Execution Provider for OpenVINO™ toolkit as the unified solution for all AI inferencing on Intel® hardware. * Remove nGraph Licence info from ThirdPartyNotices.txt * Use simple Test.Run() for tests without EP exclusions To be consistent with rest of test code. * Remove nGraph EP functions from Java code
82 lines
2.3 KiB
CMake
82 lines
2.3 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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cmake_minimum_required(VERSION 3.13)
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# Project
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project(onnxruntime_samples C CXX)
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if (WIN32)
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string(APPEND CMAKE_CXX_FLAGS " /W4")
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else()
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string(APPEND CMAKE_CXX_FLAGS " -Wall -Wextra")
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string(APPEND CMAKE_C_FLAGS " -Wall -Wextra")
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endif()
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#onnxruntime providers
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option(onnxruntime_USE_CUDA "Build with CUDA support" OFF)
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option(onnxruntime_USE_OPENVINO "Build with OpenVINO support" OFF)
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option(onnxruntime_USE_NNAPI_BUILTIN "Build with builtin NNAPI lib for Android NNAPI support" OFF)
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option(onnxruntime_USE_DNNL "Build with DNNL support" OFF)
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option(onnxruntime_USE_NUPHAR "Build with Nuphar" OFF)
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option(onnxruntime_USE_TENSORRT "Build with TensorRT support" OFF)
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option(LIBPNG_ROOTDIR "libpng root dir")
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option(ONNXRUNTIME_ROOTDIR "onnxruntime root dir")
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if(NOT ONNXRUNTIME_ROOTDIR)
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if(WIN32)
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set(ONNXRUNTIME_ROOTDIR "C:/Program Files (x86)/onnxruntime")
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else()
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include_directories("/usr/local/include/onnxruntime")
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endif()
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endif()
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include_directories("${ONNXRUNTIME_ROOTDIR}/include" "${ONNXRUNTIME_ROOTDIR}/include/onnxruntime/core/session")
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link_directories("${ONNXRUNTIME_ROOTDIR}/lib")
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#if JPEG lib is available, we'll use it for image decoding, otherwise we'll use WIC
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find_package(JPEG)
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if(LIBPNG_ROOTDIR)
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set(PNG_FOUND true)
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if(WIN32)
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set(PNG_LIBRARIES debug libpng16_d optimized libpng16)
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else()
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set(PNG_LIBRARIES png16)
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endif()
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set(PNG_INCLUDE_DIRS "${LIBPNG_ROOTDIR}/include")
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set(PNG_LIBDIR "${LIBPNG_ROOTDIR}/lib")
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else()
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find_package(PNG)
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endif()
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if(onnxruntime_USE_CUDA)
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add_definitions(-DUSE_CUDA)
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endif()
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if(onnxruntime_USE_OPENVINO)
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add_definitions(-DUSE_OPENVINO)
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endif()
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if(onnxruntime_USE_NNAPI_BUILTIN)
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add_definitions(-DUSE_NNAPI)
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endif()
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if(onnxruntime_USE_DNNL)
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add_definitions(-DUSE_DNNL)
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endif()
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if(onnxruntime_USE_NUPHAR)
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add_definitions(-DUSE_NUPHAR)
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endif()
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if(onnxruntime_USE_TENSORRT)
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add_definitions(-DUSE_TENSORRT)
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endif()
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if(onnxruntime_USE_DML)
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message("Enabling DML")
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add_definitions(-DUSE_DML)
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endif()
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# some examples require a Windows build environment
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if(WIN32)
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add_subdirectory(imagenet)
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add_subdirectory(MNIST)
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endif()
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if(PNG_FOUND)
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add_subdirectory(fns_candy_style_transfer)
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endif()
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add_subdirectory(model-explorer)
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