MNN/source/backend/hiai/execution/NPUSliceTf.cpp

62 lines
2.2 KiB
C++

//
// NPUSliceTf.cpp
// MNN
//
// Created by MNN on b'2020/10/15'.
// Copyright © 2018, Alibaba Group Holding Limited
//
#include "NPUSliceTf.hpp"
#include "NPUBackend.hpp"
using namespace std;
namespace MNN {
NPUSliceTf::NPUSliceTf(MNN::Backend *b, const MNN::Op *op, const std::vector<Tensor *> &inputs, const std::vector<MNN::Tensor *> &outputs) : NPUCommonExecution(b, op) {
auto opName = mOp->name()->str();
bool isConst = TensorUtils::getDescribe(inputs[1])->usage==Tensor::InsideDescribe::Usage::CONSTANT && TensorUtils::getDescribe(inputs[2])->usage==Tensor::InsideDescribe::Usage::CONSTANT;
if(!isConst){
MNN_ERROR("slice tf not support input != const now !!! \n");
}
mConst_start = hiai::op::Const(opName + "_start_const");
{
auto input1 = inputs[1];
ge::TensorDesc fdesc(ge::Shape({input1->elementSize()}), ge::FORMAT_NCHW, ge::DT_INT32); // in o h w ?
ge::TensorPtr filter = std::make_shared<ge::Tensor>();
filter->SetTensorDesc(fdesc);
filter->SetData((uint8_t *)input1->host<int32_t>(), input1->elementSize() * sizeof(int32_t));
mConst_start.set_attr_value(filter);
}
mConst_size = hiai::op::Const(opName + "_size_const");
{
auto input1 = inputs[2];
ge::TensorDesc fdesc(ge::Shape({input1->elementSize()}), ge::FORMAT_NCHW, ge::DT_INT32); // in o h w ?
ge::TensorPtr filter = std::make_shared<ge::Tensor>();
filter->SetTensorDesc(fdesc);
filter->SetData((uint8_t *)input1->host<int32_t>(), input1->elementSize() * sizeof(int32_t));
mConst_size.set_attr_value(filter);
}
}
ErrorCode NPUSliceTf::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
mNpuBackend->setNetworkInput(inputs, mOp);
auto opName = mOp->name()->str();
shared_ptr<hiai::op::Slice> slice(new hiai::op::Slice(opName));
auto xOp = mNpuBackend->getInputOps(mOp);
(*slice).set_input_x(*xOp)
.set_input_offsets(mConst_start)
.set_input_size(mConst_size);
mNpuBackend->setOutputOps(mOp, {slice}, outputs);
return NO_ERROR;
}
NPUCreatorRegister<TypedCreator<NPUSliceTf>> __slicetf_op(OpType_SliceTf);
} // namespace MNN