mirror of https://github.com/alibaba/MNN.git
31 lines
1001 B
C++
31 lines
1001 B
C++
|
//
|
||
|
|
// ShapeSelect.cpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2019/5/22.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#include "Macro.h"
|
||
|
|
#include "SizeComputer.hpp"
|
||
|
|
#include "TensorUtils.hpp"
|
||
|
|
namespace MNN {
|
||
|
|
class SelectSizeComputer : public SizeComputer {
|
||
|
|
public:
|
||
|
|
virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
|
||
|
|
const std::vector<Tensor*>& outputs) const override {
|
||
|
|
MNN_ASSERT(3 == inputs.size());
|
||
|
|
MNN_ASSERT(1 == outputs.size());
|
||
|
|
const auto& ib = inputs[0]->buffer();
|
||
|
|
auto& ob = outputs[0]->buffer();
|
||
|
|
memcpy(ob.dim, ib.dim, sizeof(halide_dimension_t) * ib.dimensions);
|
||
|
|
ob.dimensions = ib.dimensions;
|
||
|
|
ob.type = inputs[1]->buffer().type;
|
||
|
|
TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
REGISTER_SHAPE(SelectSizeComputer, OpType_Select);
|
||
|
|
} // namespace MNN
|