/* Copyright 2023 The OpenXLA Authors.

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_KERNELS_CUTLASS_GEMM_FUSION_H_
#define XLA_SERVICE_GPU_KERNELS_CUTLASS_GEMM_FUSION_H_

#include <optional>

#include "xla/hlo/ir/hlo_instruction.h"
#include "xla/service/gpu/kernels/custom_kernel_fusion_pattern.h"
#include "xla/stream_executor/device_description.h"

namespace xla::gpu {

// Pattern matches simple row-major gemms to CUTLASS kernels.
class CutlassGemmPattern : public CustomKernelFusionPattern {
 public:
  std::optional<Match> TryMatch(const se::DeviceDescription& device,
                                HloInstruction* instr) const override;
};

// Pattern matches simple row-major gemms with dynamic-update-slice.
class CutlassGemmWithDynamicUpdateSlicePattern
    : public CustomKernelFusionPattern {
 public:
  std::optional<Match> TryMatch(const se::DeviceDescription& device,
                                HloInstruction* instr) const override;
};

// Pattern matches mixed dtype gemms when one of the operands is upcasted to an
// accumulator (output) dtype, i.e. BF16 <= BF16 x S8.
class CutlassGemmWithUpcastPattern : public CustomKernelFusionPattern {
 public:
  std::optional<Match> TryMatch(const se::DeviceDescription& device,
                                HloInstruction* instr) const override;
};

}  // namespace xla::gpu

#endif  // XLA_SERVICE_GPU_KERNELS_CUTLASS_GEMM_FUSION_H_