mirror of https://github.com/alibaba/MNN.git
138 lines
5.3 KiB
C++
138 lines
5.3 KiB
C++
//
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// Interp3DBufExecution.cpp
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// MNN
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//
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// Created by MNN on 2019/02/28.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef MNN_OPENCL_BUFFER_CLOSED
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#include "backend/opencl/execution/buffer/Interp3DBufExecution.hpp"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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namespace OpenCL {
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Interp3DBufExecution::Interp3DBufExecution(const std::vector<Tensor *> &inputs, const MNN::Op *op, Backend *backend) : Execution(backend) {
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mOpenCLBackend = static_cast<OpenCLBackend *>(backend);
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auto runtime = mOpenCLBackend->getOpenCLRuntime();
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auto interp3DParam = op->main_as_Interp();
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mCordTransform[0] = interp3DParam->widthScale();
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mCordTransform[1] = interp3DParam->widthOffset();
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mCordTransform[2] = interp3DParam->heightScale();
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mCordTransform[3] = interp3DParam->heightOffset();
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mCordTransform[4] = interp3DParam->depthScale();
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mCordTransform[5] = interp3DParam->depthOffset();
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std::set<std::string> buildOptions;
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if (op->main_as_Interp()->resizeType() == 1) {
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mKernelName = "nearest3D_buf";
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mKernel = runtime->buildKernel("interp_buf", mKernelName, buildOptions);
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} else {
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MNN_ERROR("Resize type other than nearest is not supported in Interp3DBuf, change to nearest!");
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mKernelName = "nearest3D_buf";
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mKernel = runtime->buildKernel("interp_buf", mKernelName, buildOptions);
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}
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mMaxWorkGroupSize = static_cast<uint32_t>(runtime->getMaxWorkGroupSize(mKernel));
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}
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ErrorCode Interp3DBufExecution::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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Tensor *input = inputs[0];
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Tensor *output = outputs[0];
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auto runtime = ((OpenCLBackend *)backend())->getOpenCLRuntime();
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std::vector<int> inputImageShape = tensorShapeFormat(input); // {C/4 * H * W, N * D} for 5-D Tensor
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std::vector<int> outputImageShape = tensorShapeFormat(output);
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auto inputShape = input->shape();
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auto outputShape = output->shape();
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const int inputBatch = inputShape[0];
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const int inputChannels = inputShape[1];
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const int inputDepth = inputShape[2];
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const int inputHeight = inputShape[3];
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const int inputWidth = inputShape[4];
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const int channelBlocks = UP_DIV(inputChannels, 4);
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const int outputDepth = outputShape[2];
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const int outputHeight = outputShape[3];
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const int outputWidth = outputShape[4];
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mGWS = {static_cast<uint32_t>(channelBlocks),
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static_cast<uint32_t>(outputHeight * outputWidth),
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static_cast<uint32_t>(outputDepth * inputBatch)};
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MNN_ASSERT(outputDepth > 0 && outputHeight > 0 && outputWidth > 0);
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uint32_t idx = 0;
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cl_int ret = CL_SUCCESS;
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ret |= mKernel.setArg(idx++, mGWS[0]);
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ret |= mKernel.setArg(idx++, mGWS[1]);
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ret |= mKernel.setArg(idx++, mGWS[2]);
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ret |= mKernel.setArg(idx++, openCLBuffer(input));
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ret |= mKernel.setArg(idx++, openCLBuffer(output));
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ret |= mKernel.setArg(idx++, mCordTransform[4]);
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ret |= mKernel.setArg(idx++, mCordTransform[2]);
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ret |= mKernel.setArg(idx++, mCordTransform[0]);
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ret |= mKernel.setArg(idx++, mCordTransform[5]);
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ret |= mKernel.setArg(idx++, mCordTransform[3]);
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ret |= mKernel.setArg(idx++, mCordTransform[1]);
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(inputDepth));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(inputHeight));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(inputWidth));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(outputDepth));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(outputHeight));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(outputWidth));
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ret |= mKernel.setArg(idx++, static_cast<int32_t>(channelBlocks));
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MNN_CHECK_CL_SUCCESS(ret, "setArg Interp3DBufExecution");
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mLWS = localWS3DDefault(mGWS, mMaxWorkGroupSize, runtime, mKernelName, mKernel).first;
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return NO_ERROR;
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}
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ErrorCode Interp3DBufExecution::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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#ifdef LOG_VERBOSE
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MNN_PRINT("Start InterpBufExecution onExecute... \n");
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#endif
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#ifdef ENABLE_OPENCL_TIME_PROFILER
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cl::Event event;
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run3DKernelDefault(mKernel, mGWS, mLWS,
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mOpenCLBackend->getOpenCLRuntime(), &event);
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mOpenCLBackend->getOpenCLRuntime()->pushEvent({"Interp", event});
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#else
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run3DKernelDefault(mKernel, mGWS, mLWS, mOpenCLBackend->getOpenCLRuntime());
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#endif
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#ifdef LOG_VERBOSE
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MNN_PRINT("end InterpBufExecution onExecute... \n");
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#endif
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return NO_ERROR;
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}
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class Interp3DBufCreator : public OpenCLBackend::Creator {
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public:
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virtual ~Interp3DBufCreator() = default;
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virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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const MNN::Op *op, Backend *backend) const override {
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for (int i = 0; i < inputs.size(); ++i) {
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TensorUtils::setTensorSupportPack(inputs[i], false);
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}
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for (int i = 0; i < outputs.size(); ++i) {
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TensorUtils::setTensorSupportPack(outputs[i], false);
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}
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return new Interp3DBufExecution(inputs, op, backend);
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;
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}
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};
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OpenCLCreatorRegister<Interp3DBufCreator> __Interp3DBuf_op_(OpType_Interp3D, BUFFER);
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} // namespace OpenCL
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} // namespace MNN
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#endif /* MNN_OPENCL_BUFFER_CLOSED */
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