mirror of https://github.com/alibaba/MNN.git
33 lines
932 B
C++
33 lines
932 B
C++
|
//
|
||
|
|
// ShapeWhere.cpp
|
||
|
|
// MNN
|
||
|
|
//
|
||
|
|
// Created by MNN on 2019/01/10.
|
||
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
||
|
|
//
|
||
|
|
|
||
|
|
#include "Macro.h"
|
||
|
|
#include "SizeComputer.hpp"
|
||
|
|
|
||
|
|
namespace MNN {
|
||
|
|
|
||
|
|
class WhereSizeComputer : public SizeComputer {
|
||
|
|
virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
|
||
|
|
const std::vector<Tensor*>& outputs) const override {
|
||
|
|
MNN_ASSERT(1 == inputs.size());
|
||
|
|
MNN_ASSERT(1 == outputs.size());
|
||
|
|
auto& ib = inputs[0]->buffer();
|
||
|
|
auto& ob = outputs[0]->buffer();
|
||
|
|
MNN_ASSERT(ib.type.code == halide_type_int);
|
||
|
|
ob.dimensions = 2;
|
||
|
|
// Assume all elements are true
|
||
|
|
ob.dim[0].extent = inputs[0]->elementSize();
|
||
|
|
ob.dim[1].extent = ib.dimensions;
|
||
|
|
outputs[0]->setType(DataType_DT_INT64);
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
};
|
||
|
|
|
||
|
|
REGISTER_SHAPE(WhereSizeComputer, OpType_Where);
|
||
|
|
} // namespace MNN
|