wehub-resource-sync
68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
//
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// NPUTranspose.cpp
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// MNN
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//
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// Created by MNN on 2019/09/19.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "NPUTranspose.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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NPUTranspose::NPUTranspose(Backend *b, const Op *op, const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) : MNN::NPUCommonExecution(b,op)
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{
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const Tensor* perm = inputs[1];
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for (int i = 0; i < perm->elementSize(); i++) {
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permutation.push_back(perm->host<int32_t>()[i]);
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}
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}
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static bool isPermNoChange(std::vector<int64_t>& perm)
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{
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if((perm[0] == 0) && (perm[1] == 1) &&
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(perm[2] == 2) && (perm[3] == 3)) {
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return true;
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}
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return false;
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}
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ErrorCode NPUTranspose::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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std::vector<int32_t> shapeDims = outputs[0]->shape();
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shapeConst = hiai::op::Const(opName + "_shape_const");
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{
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ge::TensorDesc fdesc(ge::Shape({static_cast<int64_t>(shapeDims.size())}),
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ge::FORMAT_NCHW, ge::DT_INT32);
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ge::TensorPtr filter = std::make_shared<ge::Tensor>();
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filter->SetTensorDesc(fdesc);
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filter->SetData((uint8_t *)shapeDims.data(), shapeDims.size() * sizeof(int32_t));
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shapeConst.set_attr_value(filter);
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}
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MNN_ASSERT((permutation.size() == 4));
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if(isPermNoChange(permutation)) {
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shared_ptr<hiai::op::Reshape> reshape(new hiai::op::Reshape(opName));
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(*reshape).set_input_x(*xOp).set_input_shape(shapeConst);
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mNpuBackend->setOutputOps(mOp, {reshape}, outputs);
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} else {
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shared_ptr<hiai::op::Permute> permute(new hiai::op::Permute(opName));
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(*permute)
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.set_input_x(*xOp.get())
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.set_attr_order(permutation);
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mNpuBackend->setOutputOps(mOp, {permute}, outputs);
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}
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return NO_ERROR;
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}
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NPUCreatorRegister<TypedCreator<NPUTranspose>> __transpose_op(OpType_Transpose);
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} // namespace MNN
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