/* 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_SERVICE_GPU_TRANSFORMS_CUDNN_FUSION_COMPILER_H_
#define XLA_SERVICE_GPU_TRANSFORMS_CUDNN_FUSION_COMPILER_H_

#include "absl/container/flat_hash_set.h"
#include "absl/status/statusor.h"
#include "absl/strings/string_view.h"
#include "xla/hlo/ir/hlo_instructions.h"
#include "xla/hlo/ir/hlo_module.h"
#include "xla/hlo/pass/hlo_pass_interface.h"
#include "xla/service/gpu/ir_emission_utils.h"
#include "xla/stream_executor/dnn.h"
#include "xla/stream_executor/stream_executor.h"

namespace xla {
namespace gpu {

// Converts HLO fusions with cuDNN backend config to cuDNN graphs,
// compiles them using a cuDNN handle and serializes them.
class CuDnnFusionCompiler : public HloModulePass {
 public:
  explicit CuDnnFusionCompiler(se::StreamExecutor& stream_exec,
                               BinaryMap& compilation_results)
      : dnn_support_(*stream_exec.AsDnn()),
        compilation_results_(compilation_results) {}

  absl::string_view name() const override { return "cudnn-fusion-compiler"; }

  using HloPassInterface::Run;
  absl::StatusOr<bool> Run(
      HloModule* module,
      const absl::flat_hash_set<absl::string_view>& execution_threads) override;

  static int GetAvailablePlanCount(se::StreamExecutor& stream_exec,
                                   const HloFusionInstruction& hlo);

 private:
  se::dnn::DnnSupport& dnn_support_;
  BinaryMap& compilation_results_;
};

}  // namespace gpu
}  // namespace xla

#endif  // XLA_SERVICE_GPU_TRANSFORMS_CUDNN_FUSION_COMPILER_H_