flatten_cpu.hpp

// Copyright (C) 2019. Huawei Technologies Co., Ltd. All rights reserved.

// Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

// The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
// COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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#ifndef _FLATTEN_CPU_H
#define _FLATTEN_CPU_H

#include "cpu/reshape_cpu.hpp"

class FlattenCPU : public ReshapeCPU {
public:
    FlattenCPU(FlattenParamSpec _p)
    {
        this->pp = _p;
    }
    ~FlattenCPU(){}
    std::shared_ptr<Operator> clone() override
    {
        std::shared_ptr<FlattenCPU> mem = std::shared_ptr<FlattenCPU>(new FlattenCPU(this->pp));
        *mem = *this;
        return mem;
    }

    OperatorType get_type() override
    {
        return OT_Flatten;
    }

    void update_param(TensorDesc desc) {
        int axis = desc.nDims - 1 - (this->pp.axis + desc.nDims) % desc.nDims;
        size_t left = 1, right = 1;
        for (int i = 0; i <= axis; i++) {
            right *= desc.dims[i];
        }
        for (U32 i = axis + 1; i < desc.nDims; i++) {
            left *= desc.dims[i];
        }
        this->p.shape[0] = left;
        this->p.shape[1] = right;
        this->p.num_shape = 2;
    }

    EE infer_output_tensors_size(
        std::vector<Tensor *> inTensors, std::vector<Tensor *> outTensors) override
    {
        this->update_param(inTensors[0]->get_desc());
        return ReshapeCPU::infer_output_tensors_size(inTensors, outTensors);
    }

protected:
    FlattenParamSpec pp;
};

#endif  // _FLATTENCPU_H