/*************************************************************************
 * Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 *
 * See LICENSE for license information.
 ************************************************************************/

#include "../util/math.h"
#include "./activation_template.h"

void nvte_silu(const NVTETensor input, NVTETensor output, cudaStream_t stream) {
  NVTE_API_CALL(nvte_silu);
  using namespace transformer_engine;
  act_fn<fp32, Empty, silu<fp32, fp32>>(input, output, stream);
}

void nvte_group_silu(const NVTEGroupedTensor input, NVTEGroupedTensor output, cudaStream_t stream) {
  NVTE_API_CALL(nvte_group_silu);
  using namespace transformer_engine;
  constexpr bool IS_ACT = true;
  dispatch::group_quantize_fwd_helper<IS_ACT, Empty, silu<fp32, fp32>>(input, output, nullptr,
                                                                       stream);
}

void nvte_dsilu(const NVTETensor grad, const NVTETensor input, NVTETensor output,
                cudaStream_t stream) {
  NVTE_API_CALL(nvte_dsilu);
  using namespace transformer_engine;
  dact_fn<fp32, Empty, dsilu<fp32, fp32>>(grad, input, output, stream);
}

void nvte_group_dsilu(const NVTEGroupedTensor grad, const NVTEGroupedTensor input,
                      NVTEGroupedTensor output, cudaStream_t stream) {
  NVTE_API_CALL(nvte_group_dsilu);
  using namespace transformer_engine;
  NVTETensor dbias = nullptr;
  NVTETensor workspace = nullptr;

  constexpr bool IS_DBIAS = false;
  constexpr bool IS_DACT = true;

  dispatch::group_quantize_bwd_helper<IS_DBIAS, IS_DACT, Empty, dsilu<fp32, fp32>>(
      grad, input, output, dbias, workspace, nullptr, stream);
}

void nvte_quantize_dbias_dsilu(const NVTETensor input, const NVTETensor activation_input,
                               NVTETensor output, NVTETensor dbias, NVTETensor workspace,
                               cudaStream_t stream) {
  NVTE_API_CALL(nvte_quantize_dbias_dsilu);
  using namespace transformer_engine;

  constexpr bool IS_DBIAS = true;
  constexpr bool IS_DACT = true;

  dispatch::quantize_bwd_helper<IS_DBIAS, IS_DACT, Empty, dsilu<fp32, fp32>>(
      input, activation_input, output, dbias, workspace, nullptr, stream);
}

void nvte_group_quantize_dbias_dsilu(const NVTEGroupedTensor input,
                                     const NVTEGroupedTensor activation_input,
                                     NVTEGroupedTensor output, NVTETensor dbias,
                                     NVTETensor workspace, cudaStream_t stream) {
  NVTE_API_CALL(nvte_group_quantize_dbias_dsilu);
  using namespace transformer_engine;

  constexpr bool IS_DBIAS = true;
  constexpr bool IS_DACT = true;

  dispatch::group_quantize_bwd_helper<IS_DBIAS, IS_DACT, Empty, dsilu<fp32, fp32>>(
      input, activation_input, output, dbias, workspace, nullptr, stream);
}

void nvte_swiglu(const NVTETensor input, NVTETensor output, cudaStream_t stream) {
  NVTE_API_CALL(nvte_swiglu);
  using namespace transformer_engine;
  Empty e = {};
  gated_act_fn<fp32, Empty, silu<fp32, fp32>>(input, output, e, stream);
}

void nvte_dswiglu(const NVTETensor grad, const NVTETensor input, NVTETensor output,
                  cudaStream_t stream) {
  NVTE_API_CALL(nvte_dswiglu);
  using namespace transformer_engine;
  Empty e = {};
  dgated_act_fn<fp32, Empty, silu<fp32, fp32>, dsilu<fp32, fp32>>(grad, input, output, e, stream);
}

void nvte_clamped_swiglu(const NVTETensor input, NVTETensor output, float limit, float alpha,
                         cudaStream_t stream) {
  NVTE_API_CALL(nvte_clamped_swiglu);
  using namespace transformer_engine;
  ClampedSwiGLUParam param = {limit, alpha};
  gated_act_fn<fp32, ClampedSwiGLUParam, clamped_silu<fp32, fp32>>(input, output, param, stream);
}

void nvte_clamped_dswiglu(const NVTETensor grad, const NVTETensor input, NVTETensor output,
                          float limit, float alpha, cudaStream_t stream) {
  NVTE_API_CALL(nvte_clamped_dswiglu);
  using namespace transformer_engine;
  ClampedSwiGLUParam param = {limit, alpha};
  dgated_act_fn<fp32, ClampedSwiGLUParam, clamped_silu<fp32, fp32>, clamped_dsilu<fp32, fp32>>(
      grad, input, output, param, stream);
}
