/* Copyright (c) 2016 Anakin Authors All Rights Reserve.

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License. */

#ifndef ANAKIN_SABER_FUNCS_IMPL_X86_SABER_ELTWISE_H
#define ANAKIN_SABER_FUNCS_IMPL_X86_SABER_ELTWISE_H

#include "saber/funcs/impl/impl_eltwise.h"
#include "saber/funcs/impl/x86/x86_utils.h"
namespace anakin{
namespace saber {

template <DataType OpDtype>
class SaberEltwise<X86, OpDtype> : public ImplBase<
        X86,
        OpDtype,
        EltwiseParam<X86> > 
{
public:
    typedef Tensor<X86> DataTensor_in;
    typedef Tensor<X86> DataTensor_out;
    typedef typename DataTrait<X86, OpDtype>::Dtype OpDataType;
    SaberEltwise()
    {}

    ~SaberEltwise() {
    }

    virtual SaberStatus init(const std::vector<DataTensor_in*>& inputs,
                             std::vector<DataTensor_out*>& outputs,
                             EltwiseParam<X86> &param,
                             Context<X86> &ctx) override;

    virtual SaberStatus create(const std::vector<DataTensor_in*>& inputs,
                               std::vector<DataTensor_out*>& outputs,
                               EltwiseParam<X86> &param,
                               Context<X86> &ctx) override;

    virtual SaberStatus dispatch(const std::vector<DataTensor_in*>& inputs,
                                 std::vector<DataTensor_out*>& outputs,
                                 EltwiseParam<X86> &param) override;
private:
    void simple_sum(const std::vector<DataTensor_in*>& inputs,
                    std::vector<DataTensor_out*>& outputs,
                    EltwiseParam<X86> &param, bool with_relu);
    void simple_prod(const std::vector<DataTensor_in*>& inputs,
                    std::vector<DataTensor_out*>& outputs,
                    EltwiseParam<X86> &param, bool with_relu);
    void simple_max(const std::vector<DataTensor_in*>& inputs,
                    std::vector<DataTensor_out*>& outputs,
                    EltwiseParam<X86> &param, bool with_relu);
    void simple_div(const std::vector<DataTensor_in*>& inputs,
                    std::vector<DataTensor_out*>& outputs,
                    EltwiseParam<X86> &param, bool with_relu);

    void simple_mul(const std::vector<DataTensor_in*>& inputs,
                    std::vector<DataTensor_out*>& outputs,
                    EltwiseParam<X86> &param, bool with_relu);
    bool _with_relu;
    bool _other_activation;
};

}
}

#endif
