mirror of https://github.com/alibaba/MNN.git
50 lines
1.8 KiB
C++
50 lines
1.8 KiB
C++
//
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// NPUBroadCastTo.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 "NPUBroadCastTo.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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NPUBroadCastTo::NPUBroadCastTo(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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ErrorCode NPUBroadCastTo::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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auto opName = mOp->name()->str();
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bool isConst1 = TensorUtils::getDescribe(inputs[1])->usage==Tensor::InsideDescribe::Usage::CONSTANT;
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if (isConst1) {
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auto depth = inputs[1];
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mConst_s = hiai::op::Const(opName + "_s_const");
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vector<int64_t> dims;
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for (int32_t i = 0; i < depth->buffer().dimensions; i++) {
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dims.push_back(depth->buffer().dim[i].extent);
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}
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ge::TensorPtr filter = std::make_shared<ge::Tensor>();
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ge::TensorDesc fdesc(ge::Shape(dims), ge::FORMAT_NCHW, ge::DT_INT32);
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filter->SetData((uint8_t *)depth->host<int32_t>(), depth->elementSize() * sizeof(int32_t));
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filter->SetTensorDesc(fdesc);
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mConst_s.set_attr_value(filter);
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}
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mNpuBackend->setNetworkInput(inputs, mOp);
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shared_ptr<hiai::op::BroadcastTo> broadCastTo(new hiai::op::BroadcastTo(opName));
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auto inputIndex = mOp->inputIndexes()->data()[0];
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auto iops = mNpuBackend->mGrapMap[inputIndex]; // x
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auto xOp = iops.back().first;
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if (isConst1) {
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(*broadCastTo).set_input_x(*xOp.get()).set_input_shape(mConst_s);
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mNpuBackend->setOutputOps(mOp, {broadCastTo}, outputs);
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return NO_ERROR;
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}
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return NOT_SUPPORT;
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}
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NPUCreatorRegister<TypedCreator<NPUBroadCastTo>> __BroadCastTo_op(OpType_BroadcastTo);
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} // namespace MNN
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