mirror of https://github.com/alibaba/MNN.git
132 lines
4.6 KiB
C++
132 lines
4.6 KiB
C++
//
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// GLBinary.cpp
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// MNN
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//
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// Created by MNN on 2019/01/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "backend/opengl/GLBinary.hpp"
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#include <sstream>
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#include "AllShader.hpp"
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#include "backend/opengl/GLBackend.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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namespace OpenGL {
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GLBinary::GLBinary(const std::vector<Tensor *> &inputs, const Op *op, Backend *bn) : Execution(bn) {
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mType = op->main_as_BinaryOp()->opType();
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mActivationType = op->main_as_BinaryOp()->activationType();
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}
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GLBinary::~GLBinary() {
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}
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ErrorCode GLBinary::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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std::vector<std::string> prefix;
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setLocalSize(prefix, mLocalSize, 8, 8, 1);
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if (BinaryOpOperation_ADD == mType) {
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prefix.push_back("#define ADD");
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mProgram = ((GLBackend *)backend())->getProgram("binary_add", glsl_binary_glsl, prefix);
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}else if(BinaryOpOperation_MUL == mType) {
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prefix.push_back("#define MUL");
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mProgram = ((GLBackend *)backend())->getProgram("binary_mul", glsl_binary_glsl, prefix);
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}else if(BinaryOpOperation_SUB == mType) {
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prefix.push_back("#define SUB");
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mProgram = ((GLBackend *)backend())->getProgram("binary_sub", glsl_binary_glsl, prefix);
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}else if(BinaryOpOperation_REALDIV == mType) {
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prefix.push_back("#define REALDIV");
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mProgram = ((GLBackend *)backend())->getProgram("binary_realdiv", glsl_binary_glsl, prefix);
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}else{
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MNN_PRINT("Not Supported Binary Operation: %d\n", mType);
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}
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return NO_ERROR;
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}
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ErrorCode GLBinary::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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MNN_ASSERT(2 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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auto input0 = inputs[0];
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auto input1 = inputs[1];
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auto output = outputs[0];
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std::vector<int> inputShape = tensorShapeFormat(input0);
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std::vector<int> outputShape = tensorShapeFormat(output);
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int ib = inputShape.at(0);
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int ih = inputShape.at(1);
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int iw = inputShape.at(2);
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int ic = inputShape.at(3);
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int ic_4 = UP_DIV(ic, 4);
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int ob = outputShape.at(0);
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int oh = outputShape.at(1);
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int ow = outputShape.at(2);
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int oc = outputShape.at(3);
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int oc_4 = UP_DIV(oc, 4);
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MNN_ASSERT(input0->getType().code == halide_type_float);
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MNN_ASSERT(input0->dimensions() == input1->dimensions());
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const auto intputFormat = TensorUtils::getDescribe(input0)->dimensionFormat;
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mProgram->useProgram();
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glBindImageTexture(0, output->deviceId(), 0, GL_TRUE, 0, GL_WRITE_ONLY, ((GLBackend *)backend())->getTextrueFormat());
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{
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int texId = 0;
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glActiveTexture(GL_TEXTURE0 + texId);
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glUniform1i(1, texId);
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glBindTexture(GL_TEXTURE_3D, input0->deviceId());
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OPENGL_CHECK_ERROR;
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}
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{
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int texId = 1;
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glActiveTexture(GL_TEXTURE0 + texId);
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glUniform1i(2, texId);
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glBindTexture(GL_TEXTURE_3D, input1->deviceId());
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OPENGL_CHECK_ERROR;
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}
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glUniform4i(3, iw, ih, ic_4, 1);
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glUniform1i(4, mActivationType);
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OPENGL_CHECK_ERROR;
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((GLBackend *)backend())->compute(UP_DIV(iw, mLocalSize[0]), UP_DIV(ih, mLocalSize[1]), UP_DIV(ic_4, mLocalSize[2]));
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return NO_ERROR;
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}
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class BinaryCreator : public GLBackend::Creator {
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public:
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virtual ~BinaryCreator() = 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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MNN_ASSERT(inputs.size() > 1);
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auto input0 = inputs[0];
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// Don't support broatcast
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for (int i = 1; i < inputs.size(); ++i) {
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auto input = inputs[i];
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if (input0->dimensions() != input->dimensions()) {
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MNN_PRINT("dimensions : [%d, %d] \n", input0->dimensions(), input->dimensions());
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MNN_PRINT("opengl binary don't support broatcast !!! \n");
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return nullptr;
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}
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auto dim = input0->dimensions();
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for (int l = 0; l < dim; ++l) {
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if (input0->length(l) != input->length(l)) {
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MNN_PRINT("length : [%d, %d] \n", input0->length(l), input->length(l));
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MNN_PRINT("opengl binary don't support broatcast !!! \n");
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return nullptr;
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}
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}
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}
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return new GLBinary(inputs, op, backend);
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}
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};
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GLCreatorRegister<BinaryCreator> __binary_op(OpType_BinaryOp);
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} // namespace OpenGL
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} // namespace MNN
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