mirror of https://github.com/alibaba/MNN.git
58 lines
2.1 KiB
C++
58 lines
2.1 KiB
C++
//
|
|
// ShapeSetDiff1D.cpp
|
|
// MNN
|
|
//
|
|
// Created by MNN on 2021/06/24.
|
|
// Copyright © 2018, Alibaba Group Holding Limited
|
|
//
|
|
|
|
#include <unordered_set>
|
|
#include "shape/SizeComputer.hpp"
|
|
#include "core/Macro.h"
|
|
|
|
namespace MNN {
|
|
|
|
class ShapeUnique : 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());
|
|
if (inputs[0]->getType().bytes() != 4) {
|
|
return false;
|
|
}
|
|
auto& ib = inputs[0]->buffer();
|
|
auto& ob = outputs[0]->buffer();
|
|
ob.dimensions = 1;
|
|
TensorUtils::getDescribe(outputs[0])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
|
|
ob.type = ib.type;
|
|
if (inputs[0]->host<int32_t>() == nullptr) {
|
|
return false;
|
|
}
|
|
std::unordered_set<int> values;
|
|
auto eleSize = inputs[0]->elementSize();
|
|
for (int i = 0; i < eleSize; i++) {
|
|
values.insert(inputs[0]->host<int32_t>()[i]);
|
|
}
|
|
ob.dim[0].extent = values.size();
|
|
if (outputs.size() > 1) {
|
|
TensorUtils::copyShape(outputs[0], outputs[1], true);
|
|
outputs[1]->buffer().type = halide_type_of<int>();
|
|
}
|
|
if (outputs.size() > 2) {
|
|
outputs[2]->buffer().dimensions = 1;
|
|
outputs[2]->buffer().dim[0].extent = eleSize;
|
|
TensorUtils::getDescribe(outputs[2])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
|
|
outputs[2]->buffer().type = halide_type_of<int>();
|
|
}
|
|
if (outputs.size() > 3) {
|
|
outputs[3]->buffer().dimensions = 1;
|
|
outputs[3]->buffer().dim[0].extent = (int)values.size();
|
|
TensorUtils::getDescribe(outputs[3])->dimensionFormat = TensorUtils::getDescribe(inputs[0])->dimensionFormat;
|
|
outputs[3]->buffer().type = halide_type_of<int>();
|
|
}
|
|
return true;
|
|
}
|
|
};
|
|
|
|
REGISTER_SHAPE_INPUTS(ShapeUnique, OpType_Unique, std::vector<int>({0}));
|
|
} // namespace MNN
|