MNN/source/shape/ShapeReduceJoin.cpp

//
//  ShapeReduceJoin.cpp
//  MNN
//
//  Created by MNN on 2019/01/10.
//  Copyright © 2018, Alibaba Group Holding Limited
//

#include "shape/SizeComputer.hpp"
#include "core/Macro.h"

namespace MNN {
class ReduceJoinComputer : public SizeComputer {
public:
    virtual bool onComputeSize(const MNN::Op* op, const std::vector<Tensor*>& inputs,
                               const std::vector<Tensor*>& outputs) const override {
        MNN_ASSERT(2 == inputs.size());
        MNN_ASSERT(1 == outputs.size());

        auto output = outputs[0];
        auto input  = inputs[0];
        auto axis   = inputs[1];

        // support reduce 1 dimension, only
        MNN_ASSERT(axis->size() == axis->buffer().type.bytes());

        MNN_ASSERT(axis->host<int32_t>()[0] >= 0);
        std::vector<int> shape;
        for (int i = 0; i < input->buffer().dimensions; i++) {
            if (i != axis->host<int32_t>()[0]) {
                shape.push_back(input->buffer().dim[i].extent);
            } else {
                if (op->main_as_ReduceJoin()->keepDims()) {
                    shape.push_back(1);
                }
            }
        }
        output->buffer().dimensions = (int)shape.size();
        for (int i = 0; i < shape.size(); i++) {
            output->buffer().dim[i].extent = shape[i];
        }
        output->setType(DataType_DT_STRING);
        TensorUtils::getDescribe(outputs[0])->dimensionFormat = MNN_DATA_FORMAT_NHWC;
        return true;
    }
};

REGISTER_SHAPE_INPUTS(ReduceJoinComputer, OpType_ReduceJoin, {1});
} // namespace MNN