opencl

问题 I'm trying to convert an image (originally from QImage) in a RGB/RGBA format (can be changed) to a YUV422 format. My initial intention was to use OpenCV cvtColor to do the work but it does not enable the conversion of RGB/RGBA to 422 format. I searched for alternatives and even considered to write my own conversion according to this but it would not work fast enough. I searched for another library to use and found this post but it is relay old and not so relevant. So my question is what good

问题 Following this and this posts, I'm compiling the main.c code on this GitHub Gist. Running CMake command find_package(OpenCL REQUIRED) I get this: -- Looking for CL_VERSION_2_2 - found -- Found OpenCL: C:/Program Files (x86)/IntelSWTools/system_studio_2020/OpenCL/sdk/lib/x86/OpenCL.lib (found version "2.2") indicating that an OpenCL SDK version 2.2 was found. This is in contradiction with what I get from clinfo tool, detecting a 1.2 OpenCL for Intel's SDK/platforms. Now when running the

问题 The aim is to run an OpenCL/OpenGL (interop) app inside a docker container. But I have not been successful yet. Intro I have laptop with an NVidia graphics card so I thought leveraging on NVidia Dockerfiles [1,2] would be a good starting point. The following Dockerfile: # Dockerfile to run OpenGL app FROM nvidia/opengl:1.0-glvnd-runtime-ubuntu16.04 ENV NVIDIA_DRIVER_CAPABILITIES ${NVIDIA_DRIVER_CAPABILITIES},display RUN apt-get update && apt-get install -y --no-install-recommends \ mesa-utils

问题 The aim is to run an OpenCL/OpenGL (interop) app inside a docker container. But I have not been successful yet. Intro I have laptop with an NVidia graphics card so I thought leveraging on NVidia Dockerfiles [1,2] would be a good starting point. The following Dockerfile: # Dockerfile to run OpenGL app FROM nvidia/opengl:1.0-glvnd-runtime-ubuntu16.04 ENV NVIDIA_DRIVER_CAPABILITIES ${NVIDIA_DRIVER_CAPABILITIES},display RUN apt-get update && apt-get install -y --no-install-recommends \ mesa-utils

问题 Following this post, where I have used these instructions to install NVIDIA's OpenCL SDK. The clinfo tool detects a 1.2 OpenCL version correctly. However, The below CMakeLists.txt file: cmake_minimum_required(VERSION 3.1) project(OpenCL_Example) find_package(OpenCL REQUIRED) include_directories(${OpenCL_INCLUDE_DIRS}) link_directories(${OpenCL_LIBRARY}) add_executable(main main.c) target_include_directories(main PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}) target_link_libraries(main ${OpenCL_LIBRARY})

问题 Following this issue, I'm trying to compile the clifo tool using the MSVC toolchain. I use this CMakeLists.txt file which successfully finds NVIDIA's OpenCL SDK: Found OpenCL: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v3.2/lib/Win32/OpenCL.lib (found version "1.1") However when compiling with cmake --build . I get many errors, from which the first one is: c:\path\to\clinfo\src\info_ret.h(43): error C2061: syntax error: identifier 'cl_device_affinity_domain' [C:\path\to\clinfo\build

问题 Following these instructions, I have downloaded and installed Intel's OpenCL™ SDK (Intel® System Studio) from here. The cl.h file is in the folder C:\Program Files (x86)\IntelSWTools\system_studio_2020\OpenCL\sdk\include\CL however when running pip install pyopencl I get the long error message of Building wheel for pyopencl (PEP 517) ... error ERROR: Command errored out with exit status 1: command: 'c:\python38\python.exe' 'c:\python38\lib\site-packages\pip\_vendor\pep517\_in_process.py'

问题 I saw in some code that in OpenCL library, there is a class named cl::Error by which the error and type of error in OpenCL code can be catched. But when I added in my code, like this #include <CL/cl.hpp> #include <fstream> #include <iostream> #include <cassert> #include <exception> #define __CL_ENABLE_EXCEPTIONS int main() { std::vector<cl::Platform> platforms; cl::Platform::get(&platforms); assert(platforms.size() > 0); auto myPlatform = platforms.front(); std::cout << "Using platform: " <<

问题 I have the following simple OpenCL kernel, that simply copies all entries pointed at a to b __kernel void mmcopy(__global float* a, __global float* b) { unsigned pos = get_global_id(0); b[pos] = a[pos]; } The following code snippet shows the opencl function calls for creating a buffer memory object out of four floats, and setting the first argument on the kernel with the buffer object. let mut v = [1f32, 1f32, 1f32, 1f32]; let size = mem::size_of_val(&v) as size_t; let mut error_buffer = 0 as

问题 I have the following simple OpenCL kernel, that simply copies all entries pointed at a to b __kernel void mmcopy(__global float* a, __global float* b) { unsigned pos = get_global_id(0); b[pos] = a[pos]; } The following code snippet shows the opencl function calls for creating a buffer memory object out of four floats, and setting the first argument on the kernel with the buffer object. let mut v = [1f32, 1f32, 1f32, 1f32]; let size = mem::size_of_val(&v) as size_t; let mut error_buffer = 0 as