/*
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. 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.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE 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,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
#ifndef MIGRAPHX_GUARD_KERNELS_POINTWISE_HPP
#define MIGRAPHX_GUARD_KERNELS_POINTWISE_HPP

#include <migraphx/kernels/index.hpp>
#include <migraphx/kernels/functional.hpp>
#include <migraphx/kernels/math.hpp>
#include <migraphx/kernels/preload.hpp>
#include <migraphx/kernels/vectorize.hpp>
#include <migraphx/kernels/args.hpp>

namespace migraphx {

template <class T>
struct implicit_conversion_op
{
    T x;

    template <index_int N, class U>
    constexpr operator vec<U, N>() const
    {
        static_assert(vec_size<T>() == N, "Vector mismatch size");
        return __builtin_convertvector(x, vec<U, N>);
    }

    template <class U>
    constexpr operator U() const
    {
        return x;
    }
};

template <class T>
constexpr implicit_conversion_op<T> implicit_conversion(T x)
{
    return {x};
}

template <class F, class T, class... Ts>
__device__ void pointwise_tensor(index idx, F f, T out, Ts... xs)
{
    idx.global_stride(out.get_shape().elements(),
                      [&](auto i) { out[i] = implicit_conversion(f(xs[i]...)); });
}

template <class... Transforms>
__device__ auto pointwise(index idx, Transforms... transforms)
{
    return [=](auto f, auto*... ps) {
        auto t = transform_args(make_tensors(), rotate_last(), transforms...);
        t(ps...)([&](auto... xs) { pointwise_tensor(idx, f, xs...); });
    };
}

} // namespace migraphx
#endif // MIGRAPHX_GUARD_KERNELS_POINTWISE_HPP
