36 lines
1.0 KiB
C++
36 lines
1.0 KiB
C++
//
|
|
// NPUFlatten.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on b'2020/10/15'.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "NPUFlatten.hpp"
|
|
#include "NPUBackend.hpp"
|
|
|
|
using namespace std;
|
|
|
|
namespace MNN {
|
|
|
|
NPUFlatten::NPUFlatten(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NPUCommonExecution(b, op) {
|
|
}
|
|
|
|
ErrorCode NPUFlatten::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
|
|
mNpuBackend->setNetworkInput(inputs, mOp);
|
|
|
|
auto opName = mOp->name()->str();
|
|
auto xOp = mNpuBackend->getInputOps(mOp);
|
|
|
|
auto inputIndex = mOp->inputIndexes()->data()[0];
|
|
auto iops = mNpuBackend->mGrapMap[inputIndex]; // x
|
|
xOp = iops.back().first;
|
|
shared_ptr<hiai::op::Flatten> flatten(new hiai::op::Flatten(opName));
|
|
(*flatten).set_input_x(*xOp.get());
|
|
mNpuBackend->setOutputOps(mOp, {flatten}, outputs);
|
|
return NO_ERROR;
|
|
}
|
|
|
|
NPUCreatorRegister<TypedCreator<NPUFlatten>> __flatten_op(OpType_Flatten);
|
|
|
|
} // namespace MNN
|