/*******************************************************************************
* Copyright 2016-2019 Intel Corporation
*
* 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 CPU_REF_ELTWISE_HPP
#define CPU_REF_ELTWISE_HPP

#include <assert.h>
#include "c_types_map.hpp"
#include "cpu_isa_traits.hpp"
#include "type_helpers.hpp"
#include "utils.hpp"

#include "cpu_eltwise_pd.hpp"

namespace dnnl {
namespace impl {
namespace cpu {

struct ref_eltwise_scalar_fwd_t {
public:
    ref_eltwise_scalar_fwd_t(
            alg_kind_t alg, float alpha, float beta, float scale);

    ref_eltwise_scalar_fwd_t(const post_ops_t::entry_t::eltwise_t &eltwise);

    float compute_scalar(float s);

    const alg_kind_t alg_;
    const float alpha_;
    const float beta_;
    const float scale_;
};

template <impl::data_type_t data_type>
struct ref_eltwise_fwd_t : public primitive_impl_t {
    struct pd_t : public cpu_eltwise_fwd_pd_t {
        using cpu_eltwise_fwd_pd_t::cpu_eltwise_fwd_pd_t;

        DECLARE_COMMON_PD_T("ref:any", ref_eltwise_fwd_t);

        status_t init() {
            using namespace utils;

            auto src_d = memory_desc_wrapper(src_md());

            use_dense_ = false || src_d.is_dense()
                    || (src_d.is_dense(true) && is_zero_preserved());

            use_nCspBc_padded_ = !use_dense_
                    && src_d.blocking_desc().inner_nblks == 1
                    && one_of(src_d.blocking_desc().inner_blks[0], 8, 16)
                    && src_d.blocking_desc().inner_idxs[0] == 1
                    && src_d.only_padded_dim(1) && src_d.is_dense(true);

            if (has_zero_dim_memory()) use_dense_ = use_nCspBc_padded_ = false;

            const bool use_generic = !use_dense_ && !use_nCspBc_padded_;

            bool ok = true && is_fwd()
                    && everyone_is(data_type, desc()->data_desc.data_type)
                    /*bf16<->f32 cvt operators don't work on non-avx512_core*/
                    && IMPLICATION(
                            desc()->data_desc.data_type == data_type::bf16,
                            mayiuse(avx512_core))
                    && IMPLICATION(use_generic, one_of(src_d.ndims(), 4, 5))
                    && attr()->has_default_values();
            if (!ok) return status::unimplemented;

            return status::success;
        }

        bool use_dense_, use_nCspBc_padded_;
    };

    ref_eltwise_fwd_t(const pd_t *apd) : primitive_impl_t(apd) {}
    typedef typename prec_traits<data_type>::type data_t;

    virtual status_t execute(const exec_ctx_t &ctx) const override {
        if (pd()->use_dense_)
            execute_forward_dense(ctx);
        else if (pd()->use_nCspBc_padded_)
            execute_forward_nCspBc_padded(ctx);
        else
            execute_forward_generic(ctx);
        return status::success;
    }

private:
    void execute_forward_nCspBc_padded(const exec_ctx_t &ctx) const;
    void execute_forward_dense(const exec_ctx_t &ctx) const;
    void execute_forward_generic(const exec_ctx_t &ctx) const;
    const pd_t *pd() const { return (const pd_t *)primitive_impl_t::pd(); }
};

template <impl::data_type_t data_type>
struct ref_eltwise_bwd_t : public primitive_impl_t {
    struct pd_t : public cpu_eltwise_bwd_pd_t {
        using cpu_eltwise_bwd_pd_t::cpu_eltwise_bwd_pd_t;

        DECLARE_COMMON_PD_T("ref:any", ref_eltwise_bwd_t);

        status_t init() {
            using namespace utils;

            bool ok = true && !is_fwd()
                    && everyone_is(data_type, desc()->data_desc.data_type,
                            desc()->diff_data_desc.data_type)
                    /*bf16<->f32 cvt operators don't work on non-avx512_core*/
                    && IMPLICATION(
                            desc()->data_desc.data_type == data_type::bf16,
                            mayiuse(avx512_core))
                    && set_default_formats_common()
                    && attr()->has_default_values();
            if (!ok) return status::unimplemented;

            auto diff_dst_d = memory_desc_wrapper(diff_dst_md());
            const bool same_fmt_ = diff_dst_d == memory_desc_wrapper(src_md());

            use_dense_ = true && same_fmt_ && diff_dst_d.is_dense(true)
                    && is_zero_preserved() && !has_zero_dim_memory();
            const bool use_generic = !use_dense_;

            if (use_generic && !one_of(diff_dst_d.ndims(), 4, 5))
                return status::unimplemented;

            return status::success;
        }

        bool use_dense_;
    };

    ref_eltwise_bwd_t(const pd_t *apd) : primitive_impl_t(apd) {}
    typedef typename prec_traits<data_type>::type data_t;

    virtual status_t execute(const exec_ctx_t &ctx) const override {
        if (pd()->use_dense_)
            execute_backward_dense(ctx);
        else
            execute_backward_generic(ctx);
        return status::success;
    }

private:
    void execute_backward_dense(const exec_ctx_t &ctx) const;
    void execute_backward_generic(const exec_ctx_t &ctx) const;
    const pd_t *pd() const { return (const pd_t *)primitive_impl_t::pd(); }
};

} // namespace cpu
} // namespace impl
} // namespace dnnl

#endif

// vim: et ts=4 sw=4 cindent cino+=l0,\:4,N-s
