/* Copyright 2024 The TensorFlow Authors. All Rights Reserved.

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 XLA_BACKENDS_GPU_CODEGEN_CUDNN_H_
#define XLA_BACKENDS_GPU_CODEGEN_CUDNN_H_

#include "absl/status/statusor.h"
#include "xla/backends/gpu/codegen/fusion_emitter.h"
#include "xla/hlo/ir/hlo_instructions.h"
#include "xla/service/gpu/hlo_fusion_analysis.h"
#include "xla/service/gpu/ir_emitter_context.h"

namespace xla {
namespace gpu {

// Creates thunks from compiled cuDNN graphs serialized in backend
// configs of corresponding fusions.
class CuDnnFusion : public FusionInterface {
 public:
  explicit CuDnnFusion(const HloFusionAnalysis&) {}

  absl::StatusOr<FusionEmissionResult> Emit(
      IrEmitterContext& ir_emitter_context,
      const HloFusionInstruction& fusion) const final;
};
}  // namespace gpu
}  // namespace xla

#endif  // XLA_BACKENDS_GPU_CODEGEN_CUDNN_H_