wehub-resource-sync
94 lines
4.2 KiB
C++
94 lines
4.2 KiB
C++
//
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// NPUUnary.cpp
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// MNN
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//
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// Created by MNN on b'2020/10/15'.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "NPUUnary.hpp"
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#include "NPUBackend.hpp"
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using namespace std;
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namespace MNN {
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NPUUnary::NPUUnary(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NPUCommonExecution(b, op) {}
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ErrorCode NPUUnary::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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mNpuBackend->setNetworkInput(inputs, mOp);
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auto opName = mOp->name()->str();
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auto xOp = mNpuBackend->getInputOps(mOp);
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auto inputIndex = mOp->inputIndexes()->data()[0];
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auto iops = mNpuBackend->mGrapMap[inputIndex]; // x
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xOp = iops.back().first;
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auto unary_type = mOp->main_as_UnaryOp()->opType();
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if (unary_type == UnaryOpOperation_EXP){
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shared_ptr<hiai::op::Exp> unary(new hiai::op::Exp(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_NEG){
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shared_ptr<hiai::op::Neg> unary(new hiai::op::Neg(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_ABS){
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shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_abs"));
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(*unary).set_input_x(*xOp.get())
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.set_attr_mode(6);
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_SIGMOID){
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shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_sigmoid"));
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(*unary).set_input_x(*xOp.get())
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.set_attr_mode(0);
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_TANH) {
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shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName));
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(*unary)
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.set_attr_coef(.000000)
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.set_attr_negative_slope(0.0f)
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.set_attr_mode(2);
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_SILU) {
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shared_ptr<hiai::op::Swish> unary(new hiai::op::Swish(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_SQRT){
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shared_ptr<hiai::op::Sqrt> unary(new hiai::op::Sqrt(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_HARDSWISH){
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shared_ptr<hiai::op::HardSwish> unary(new hiai::op::HardSwish(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_RSQRT){
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shared_ptr<hiai::op::Rsqrt> unary(new hiai::op::Rsqrt(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_SQUARE){
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shared_ptr<hiai::op::Square> unary(new hiai::op::Square(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_LOG){
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shared_ptr<hiai::op::Log> unary(new hiai::op::Log(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_GELU || unary_type == UnaryOpOperation_GELU_STANDARD){
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shared_ptr<hiai::op::Activation> unary(new hiai::op::Activation(opName+ "_gelu"));
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(*unary).set_input_x(*xOp.get()).set_attr_mode(15);
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else if (unary_type == UnaryOpOperation_ERF){
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shared_ptr<hiai::op::Erf> unary(new hiai::op::Erf(opName));
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(*unary).set_input_x(*xOp.get());
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mNpuBackend->setOutputOps(mOp, {unary}, outputs);
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} else {
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MNN_ERROR("unary not support this case : %d \n", unary_type);
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}
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return NO_ERROR;
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}
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NPUCreatorRegister<TypedCreator<NPUUnary>> __unary_op(OpType_UnaryOp);
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} // namespace MNN
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