wehub-resource-sync
56 lines
2.1 KiB
C++
56 lines
2.1 KiB
C++
//
|
|
// NPUPadding.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2019/09/07.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include "NPUPadding.hpp"
|
|
#include "NPUBackend.hpp"
|
|
|
|
using namespace std;
|
|
|
|
namespace MNN {
|
|
|
|
NPUPadding::NPUPadding(Backend *b, const Op *op, const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) : MNN::NPUCommonExecution(b,op) {
|
|
auto opName = mOp->name()->str();
|
|
auto input1 = inputs[1];
|
|
bool isConst1 = TensorUtils::getDescribe(input1)->usage==Tensor::InsideDescribe::Usage::CONSTANT;
|
|
MNN_ASSERT(isConst1 == true);
|
|
auto data = input1->host<int>();
|
|
//MNN_PRINT("Padding input1->buffer().dim[0].extent=%d\n",input1->buffer().dim[0].extent);
|
|
if (input1->buffer().dim[0].extent == 3) {
|
|
mPadData = {0, 0, data[4], data[5], data[0], data[1], data[2], data[3]};
|
|
} else if ((input1->buffer().dim[0].extent == 4) || (input1->buffer().dim[0].extent == 8)) {
|
|
mPadData = {data[0], data[1], data[2], data[3], data[4], data[5], data[6], data[7]};
|
|
}
|
|
// om input weight const op
|
|
mConst = hiai::op::Const(opName + "_w_const");
|
|
{
|
|
ge::TensorPtr filter = std::make_shared<ge::Tensor>();
|
|
ge::TensorDesc fdesc(ge::Shape(ge::Shape({4, 2})), ge::FORMAT_NCHW, ge::DT_INT32);
|
|
filter->SetTensorDesc(fdesc);
|
|
filter->SetData((uint8_t *)mPadData.data(), mPadData.size() * sizeof(int32_t));
|
|
mConst.set_attr_value(filter);
|
|
}
|
|
}
|
|
|
|
ErrorCode NPUPadding::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);
|
|
shared_ptr<hiai::op::Pad> padding(new hiai::op::Pad(opName));
|
|
auto inputIndex = mOp->inputIndexes()->data()[0];
|
|
auto iops = mNpuBackend->mGrapMap[inputIndex]; // x
|
|
xOp = iops.back().first;
|
|
(*padding).set_input_x(*xOp.get()).set_input_paddings(mConst);
|
|
mNpuBackend->setOutputOps(mOp, {padding}, outputs);
|
|
return NO_ERROR;
|
|
}
|
|
|
|
NPUCreatorRegister<TypedCreator<NPUPadding>> __padding_op(OpType_Padding);
|
|
|
|
} // namespace MNN
|