MNN/source/backend/opencl/execution/image/CastExecution.cpp

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//
// CastExecution.cpp
// MNN
//
// Created by MNN on 2023/12/1.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "backend/opencl/execution/image/CastExecution.hpp"
namespace MNN {
namespace OpenCL {
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CastExecution::CastExecution(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, const std::string& compute, const MNN::Op* op, Backend* backend) : CommonExecution(backend, op) {
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mBuildOptions.emplace(compute);
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auto openCLBackend = static_cast<OpenCLBackend*>(backend);
auto runtime = openCLBackend->getOpenCLRuntime();
mUnits.resize(1);
auto &unit = mUnits[0];
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unit.kernel = openCLBackend->getOpenCLRuntime()->buildKernel("cast", "cast", mBuildOptions, openCLBackend->getPrecision(), inputs[0], outputs[0]);
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mMaxWorkGroupSize = static_cast<uint32_t>(runtime->getMaxWorkGroupSize(unit.kernel));
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}
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ErrorCode CastExecution::onEncode(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
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Tensor* input = inputs[0];
Tensor* output = outputs[0];
auto openCLBackend = static_cast<OpenCLBackend*>(backend());
auto runtime = openCLBackend->getOpenCLRuntime();
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auto &unit = mUnits[0];
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std::vector<int> inputShape = tensorShapeFormat(input);
std::vector<int> outputShape = tensorShapeFormat(output);
int batch = outputShape.at(0);
int outputHeight = outputShape.at(1);
int outputWidth = outputShape.at(2);
int channels = outputShape.at(3);
int channelBlocks = (channels + 3) / 4;
mGlobalWorkSize = {
static_cast<uint32_t>(outputWidth),
static_cast<uint32_t>(outputHeight),
static_cast<uint32_t>(batch * channelBlocks),
};
uint32_t idx = 0;
cl_int ret = CL_SUCCESS;
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ret |= unit.kernel->get().setArg(idx++, mGlobalWorkSize[0]);
ret |= unit.kernel->get().setArg(idx++, mGlobalWorkSize[1]);
ret |= unit.kernel->get().setArg(idx++, mGlobalWorkSize[2]);
ret |= unit.kernel->get().setArg(idx++, openCLImage(input));
ret |= unit.kernel->get().setArg(idx++, openCLImage(output));
ret |= unit.kernel->get().setArg(idx++, outputWidth);
ret |= unit.kernel->get().setArg(idx++, outputHeight);
ret |= unit.kernel->get().setArg(idx++, channelBlocks);
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MNN_CHECK_CL_SUCCESS(ret, "setArg CastExecution");
std::string kernelName = "cast";
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mLocalSize = localWS3DDefault(mGlobalWorkSize, mMaxWorkGroupSize, openCLBackend->getOpenCLRuntime(), kernelName, unit.kernel, openCLBackend->getCLTuneLevel(), "cast").first;
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openCLBackend->recordKernel3d(unit.kernel, mGlobalWorkSize, mLocalSize);
unit.globalWorkSize = {mGlobalWorkSize[0], mGlobalWorkSize[1], mGlobalWorkSize[2]};
unit.localWorkSize = {mLocalSize[0], mLocalSize[1], mLocalSize[2]};
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return NO_ERROR;
}
static DataType _mapDataType(DataType src) {
if (DataType_DT_BOOL == src) {
return DataType_DT_INT32;
}
if (DataType_DT_INT64 == src) {
return DataType_DT_INT32;
}
if (DataType_DT_DOUBLE == src) {
return DataType_DT_FLOAT;
}
return src;
}
class CastCreator : public OpenCLBackend::Creator {
public:
virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
const MNN::Op* op, Backend* backend) const override {
auto cast = op->main_as_CastParam();
// cast param srcT is invalid
// auto srcT = _mapDataType(cast->srcT());
auto dstT = _mapDataType(cast->dstT());
const auto &inputDataType = inputs[0]->getType();
if (inputDataType.bytes() == 4 && cast->dstT() == MNN::DataType_DT_BOOL) {
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return new CastExecution(inputs, outputs, "-DTO_BOOL", op, backend);
} else {
return new CastExecution(inputs, outputs, "", op, backend);
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}
return nullptr;
}
};
REGISTER_OPENCL_OP_CREATOR(CastCreator, OpType_Cast, IMAGE);
} // namespace OpenCL
} // namespace MNN