/*
 * 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.
 */
#include <migraphx/gpu/device/gelu.hpp>
#include <migraphx/gpu/device/nary.hpp>
#include <migraphx/gpu/device/types.hpp>
#include <cmath>

namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace gpu {
namespace device {

// x * 0.5 * (1.0 + erf(x / sqrt(2.0)))
template <class T>
auto gelu_fn(T x) __device__
{
    return x * 0.5 * (1 + ::erf(x * M_SQRT1_2));
}

// 0.5 * x * (1 + tanh(sqrt(2 / pi) * (x + 0.044715 * pow(x, 3))))
template <class T>
auto gelu_fn_new(T x) __device__
{
    return 0.5 * x * (1 + tanh(sqrt(M_2_PI) * (x + 0.044715 * x * x * x)));
}

void gelu(hipStream_t stream, const argument& result, const argument& arg)
{
    nary(stream, result, arg)([](auto x) __device__ { return gelu_fn(to_hip_type(x)); });
}

void gelu_new(hipStream_t stream, const argument& result, const argument& arg)
{
    nary(stream, result, arg)([](auto x) __device__ { return gelu_fn_new(to_hip_type(x)); });
}

void add_gelu(hipStream_t stream,
              const argument& result,
              const argument& arg1,
              const argument& arg2)
{
    nary(stream, result, arg1, arg2)([](auto x, auto y) __device__ {
        auto sum = to_hip_type(x + y);
        return gelu_fn(sum);
    });
}

void add_gelu_new(hipStream_t stream,
                  const argument& result,
                  const argument& arg1,
                  const argument& arg2)
{
    nary(stream, result, arg1, arg2)([](auto x, auto y) __device__ {
        auto sum = to_hip_type(x + y);
        return gelu_fn(sum);
    });
}

} // namespace device
} // namespace gpu
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx