Hi All, I have used clCreateBuffer() with success but when I try to use clCreateImage2D() , it always returns -10 (CL_IMAGE_FORMAT_NOT_SUPPORTED). It
CL_OUT_OF_HOST_MEMORY 宿主机上没有足够的内存执行命令 CL_PROFILING_INFO_NOT_AVAILABLE 无法得到事件的性能评测信息或者命令队列不支持性能评测 CL_MEM_COPY_OVERLAP 两个缓冲区在同一个内存区域重叠 CL_IMAGE_FORMAT_MISMATCH 图像未采用相同的图像格式 CL_IMAGE_FORMAT_NOT_SUPPORTED 不支持指定的图像格式 CL_B...
问OpenCL:使用NVidia但不使用Amd时出现奇怪的缓冲区或图像行为EN【编者按】深度学习是近年来迅速发展和突破的机器学习领域，具有非常广泛的应用前景。将服务器GPU应用到深度学习过程中，可以更好地推动深度学习技术研究和应用的发展。本文介绍AMD深度学习团队开发的MLP学习工具软件的使用，为深度学习研究人员和开发商提供一...
Thank you very much. This improved, but now I got another error related to CFFI. I tried with python3 too and the same error appears. It is a runtimeerror now claiming image format not supported, but I am not passing any image yet, only creating the propagator. See below: ...
case CL_IMAGE_FORMAT_NOT_SUPPORTED: vsapi->setError(out, "knlm.KNLMeansCL: the opencl device does not support this video format!"); break; default: char buffer[2048]; if (snprintf(buffer, 2048, "knlm.KNLMeansCL: fatal error!\n (%s: %s)", ...
err()) throw e; try { return cl::Context(CL_DEVICE_TYPE_CPU); } catch (cl::Error &e1) { if (CL_DEVICE_NOT_FOUND != e1.err()) throw e1; return cl::Context(CL_DEVICE_TYPE_DEFAULT); } } } public: void showSupportedImageFormats(cl_mem_flags flags, cl_mem_object_type type ...
Two types of messages are supported: • Immediate messages, which are created by the program or system user when they are sent and are not permanently stored in the system. Control language 3 • Predefined messages, which are created before they are used. These messages are placed ...
IActiveBasicDevice::IsImageSupported method (Windows) MDM_Policy_Result01_AppRuntime02 class (Windows) MDM_Policy_User_Config01_Display02 class (Windows) MDM_WindowsDefenderApplicationGuard_Settings01 class (Windows) GetSurface HomeGroup Sample (Windows) Shell Library Command Line Sample (Windows) Wi...
OpenCL is evolving the way it can interoperate with other APIs, such as Vulkan. This post gives you a tour of the new style of OpenCL interop, which is already supported in the latest NVIDIA drivers. We include downloadable sample code so you can try this new functionality today...
supported on all devices. A portable OpenCL code will need to avoid using these optional features. However, some of these optional features allow applications to achieve significantly more performance in devices that support them. As a result, a portable OpenCL code may not be able to achieve ...