compute-runtime/opencl/source/kernel/image_transformer.cpp

50 lines
1.9 KiB
C++

/*
* Copyright (C) 2018-2021 Intel Corporation
*
* SPDX-License-Identifier: MIT
*
*/
#include "opencl/source/kernel/image_transformer.h"
#include "shared/source/helpers/ptr_math.h"
#include "shared/source/program/kernel_info.h"
#include "opencl/source/mem_obj/image.h"
namespace NEO {
void ImageTransformer::registerImage3d(uint32_t argIndex) {
if (std::find(argIndexes.begin(), argIndexes.end(), argIndex) == argIndexes.end()) {
argIndexes.push_back(argIndex);
}
}
void ImageTransformer::transformImagesTo2dArray(const KernelInfo &kernelInfo, const std::vector<Kernel::SimpleKernelArgInfo> &kernelArguments, void *ssh) {
for (auto const &argIndex : argIndexes) {
const auto &arg = kernelInfo.kernelDescriptor.payloadMappings.explicitArgs[argIndex];
if (arg.getExtendedTypeInfo().isTransformable) {
auto clMemObj = static_cast<cl_mem>(kernelArguments.at(argIndex).object);
auto image = castToObjectOrAbort<Image>(clMemObj);
auto surfaceState = ptrOffset(ssh, arg.as<ArgDescImage>().bindful);
image->transformImage3dTo2dArray(surfaceState);
}
}
transformed = true;
}
void ImageTransformer::transformImagesTo3d(const KernelInfo &kernelInfo, const std::vector<Kernel::SimpleKernelArgInfo> &kernelArguments, void *ssh) {
for (auto const &argIndex : argIndexes) {
const auto &arg = kernelInfo.kernelDescriptor.payloadMappings.explicitArgs[argIndex];
auto clMemObj = static_cast<cl_mem>(kernelArguments.at(argIndex).object);
auto image = castToObjectOrAbort<Image>(clMemObj);
auto surfaceState = ptrOffset(ssh, arg.as<ArgDescImage>().bindful);
image->transformImage2dArrayTo3d(surfaceState);
}
transformed = false;
}
bool ImageTransformer::didTransform() const {
return transformed;
}
bool ImageTransformer::hasRegisteredImages3d() const {
return !argIndexes.empty();
}
} // namespace NEO