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#ifndef OPENCV_CVCONFIG_H_INCLUDED
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#define OPENCV_CVCONFIG_H_INCLUDED
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/* OpenCV compiled as static or dynamic libs */
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#cmakedefine BUILD_SHARED_LIBS
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/* OpenCV intrinsics optimized code */
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#cmakedefine CV_ENABLE_INTRINSICS
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/* OpenCV additional optimized code */
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#cmakedefine CV_DISABLE_OPTIMIZATION
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/* Compile for 'real' NVIDIA GPU architectures */
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#define CUDA_ARCH_BIN "${OPENCV_CUDA_ARCH_BIN}"
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/* NVIDIA GPU features are used */
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#define CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES}"
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/* Compile for 'virtual' NVIDIA PTX architectures */
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#define CUDA_ARCH_PTX "${OPENCV_CUDA_ARCH_PTX}"
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/* AMD's Basic Linear Algebra Subprograms Library*/
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#cmakedefine HAVE_CLAMDBLAS
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/* AMD's OpenCL Fast Fourier Transform Library*/
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#cmakedefine HAVE_CLAMDFFT
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/* Clp support */
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#cmakedefine HAVE_CLP
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/* NVIDIA CUDA Runtime API*/
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#cmakedefine HAVE_CUDA
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/* NVIDIA CUDA Basic Linear Algebra Subprograms (BLAS) API*/
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#cmakedefine HAVE_CUBLAS
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/* NVIDIA CUDA Deep Neural Network (cuDNN) API*/
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#cmakedefine HAVE_CUDNN
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/* NVIDIA CUDA Fast Fourier Transform (FFT) API*/
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#cmakedefine HAVE_CUFFT
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/* DirectX */
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#cmakedefine HAVE_DIRECTX
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#cmakedefine HAVE_DIRECTX_NV12
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#cmakedefine HAVE_D3D11
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#cmakedefine HAVE_D3D10
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#cmakedefine HAVE_D3D9
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/* Eigen Matrix & Linear Algebra Library */
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#cmakedefine HAVE_EIGEN
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/* Geospatial Data Abstraction Library */
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#cmakedefine HAVE_GDAL
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/* Halide support */
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#cmakedefine HAVE_HALIDE
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Merge pull request #12703 from wzw-intel:vkcom
* dnn: Add a Vulkan based backend
This commit adds a new backend "DNN_BACKEND_VKCOM" and a
new target "DNN_TARGET_VULKAN". VKCOM means vulkan based
computation library.
This backend uses Vulkan API and SPIR-V shaders to do
the inference computation for layers. The layer types
that implemented in DNN_BACKEND_VKCOM include:
Conv, Concat, ReLU, LRN, PriorBox, Softmax, MaxPooling,
AvePooling, Permute
This is just a beginning work for Vulkan in OpenCV DNN,
more layer types will be supported and performance
tuning is on the way.
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
* dnn/vulkan: Add FindVulkan.cmake to detect Vulkan SDK
In order to build dnn with Vulkan support, need installing
Vulkan SDK and setting environment variable "VULKAN_SDK" and
add "-DWITH_VULKAN=ON" to cmake command.
You can download Vulkan SDK from:
https://vulkan.lunarg.com/sdk/home#linux
For how to install, see
https://vulkan.lunarg.com/doc/sdk/latest/linux/getting_started.html
https://vulkan.lunarg.com/doc/sdk/latest/windows/getting_started.html
https://vulkan.lunarg.com/doc/sdk/latest/mac/getting_started.html
respectively for linux, windows and mac.
To run the vulkan backend, also need installing mesa driver.
On Ubuntu, use this command 'sudo apt-get install mesa-vulkan-drivers'
To test, use command '$BUILD_DIR/bin/opencv_test_dnn --gtest_filter=*VkCom*'
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
* dnn/Vulkan: dynamically load Vulkan runtime
No compile-time dependency on Vulkan library.
If Vulkan runtime is unavailable, fallback to CPU path.
Use environment "OPENCL_VULKAN_RUNTIME" to specify path to your
own vulkan runtime library.
Signed-off-by: Wu Zhiwen <zhiwen.wu@intel.com>
* dnn/Vulkan: Add a python script to compile GLSL shaders to SPIR-V shaders
The SPIR-V shaders are in format of text-based 32-bit hexadecimal
numbers, and inserted into .cpp files as unsigned int32 array.
* dnn/Vulkan: Put Vulkan headers into 3rdparty directory and some other fixes
Vulkan header files are copied from
https://github.com/KhronosGroup/Vulkan-Docs/tree/master/include/vulkan
to 3rdparty/include
Fix the Copyright declaration issue.
Refine OpenCVDetectVulkan.cmake
* dnn/Vulkan: Add vulkan backend tests into existing ones.
Also fixed some test failures.
- Don't use bool variable as uniform for shader
- Fix dispathed group number beyond max issue
- Bypass "group > 1" convolution. This should be support in future.
* dnn/Vulkan: Fix multiple initialization in one thread.
6 years ago
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/* Vulkan support */
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#cmakedefine HAVE_VULKAN
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/* Define to 1 if you have the <inttypes.h> header file. */
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#cmakedefine HAVE_INTTYPES_H 1
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/* Intel Integrated Performance Primitives */
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#cmakedefine HAVE_IPP
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#cmakedefine HAVE_IPP_ICV
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#cmakedefine HAVE_IPP_IW
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#cmakedefine HAVE_IPP_IW_LL
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/* JPEG-2000 codec */
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#cmakedefine HAVE_OPENJPEG
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#cmakedefine HAVE_JASPER
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/* IJG JPEG codec */
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#cmakedefine HAVE_JPEG
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/* libpng/png.h needs to be included */
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#cmakedefine HAVE_LIBPNG_PNG_H
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/* GDCM DICOM codec */
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#cmakedefine HAVE_GDCM
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/* NVIDIA Video Decoding API*/
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#cmakedefine HAVE_NVCUVID
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#cmakedefine HAVE_NVCUVID_HEADER
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#cmakedefine HAVE_DYNLINK_NVCUVID_HEADER
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/* NVIDIA Video Encoding API*/
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#cmakedefine HAVE_NVCUVENC
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/* OpenCL Support */
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#cmakedefine HAVE_OPENCL
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#cmakedefine HAVE_OPENCL_STATIC
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#cmakedefine HAVE_OPENCL_SVM
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/* NVIDIA OpenCL D3D Extensions support */
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#cmakedefine HAVE_OPENCL_D3D11_NV
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/* OpenEXR codec */
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#cmakedefine HAVE_OPENEXR
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/* OpenGL support*/
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#cmakedefine HAVE_OPENGL
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/* PNG codec */
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#cmakedefine HAVE_PNG
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/* PNG codec */
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#cmakedefine HAVE_SPNG
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/* Posix threads (pthreads) */
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#cmakedefine HAVE_PTHREAD
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/* parallel_for with pthreads */
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#cmakedefine HAVE_PTHREADS_PF
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/* Intel Threading Building Blocks */
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#cmakedefine HAVE_TBB
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/* Ste||ar Group High Performance ParallelX */
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#cmakedefine HAVE_HPX
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/* TIFF codec */
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#cmakedefine HAVE_TIFF
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/* Define if your processor stores words with the most significant byte
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first (like Motorola and SPARC, unlike Intel and VAX). */
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#cmakedefine WORDS_BIGENDIAN
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/* VA library (libva) */
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#cmakedefine HAVE_VA
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/* Intel VA-API/OpenCL */
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#cmakedefine HAVE_VA_INTEL
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/* Lapack */
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#cmakedefine HAVE_LAPACK
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/* Library was compiled with functions instrumentation */
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#cmakedefine ENABLE_INSTRUMENTATION
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/* OpenVX */
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#cmakedefine HAVE_OPENVX
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/* OpenCV trace utilities */
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#cmakedefine OPENCV_TRACE
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/* Library QR-code decoding */
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#cmakedefine HAVE_QUIRC
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#endif // OPENCV_CVCONFIG_H_INCLUDED
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