relu.cu 3.41 KB
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/*************************************************************************
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 * Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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 *
 * See LICENSE for license information.
 ************************************************************************/

#include "../util/math.h"
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#include "./activation_template.h"
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void nvte_relu(const NVTETensor input, NVTETensor output, cudaStream_t stream) {
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  NVTE_API_CALL(nvte_relu);
  using namespace transformer_engine;
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  act_fn<fp32, Empty, relu<fp32, fp32>>(input, output, stream);
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}

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

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

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

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

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

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void nvte_dreglu(const NVTETensor grad, const NVTETensor input, NVTETensor output,
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                 cudaStream_t stream) {
  NVTE_API_CALL(nvte_dreglu);
  using namespace transformer_engine;
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  Empty e = {};
  dgated_act_fn<fp32, Empty, relu<fp32, fp32>, drelu<fp32, fp32>>(grad, input, output, e, stream);
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}
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void nvte_srelu(const NVTETensor input, NVTETensor output, cudaStream_t stream) {
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  NVTE_API_CALL(nvte_srelu);
  using namespace transformer_engine;
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  act_fn<fp32, Empty, srelu<fp32, fp32>>(input, output, stream);
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}

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

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

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

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

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

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