/* Copyright 2021 Google LLC

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 JAXLIB_HIPBLAS_KERNELS_H_
#define JAXLIB_HIPBLAS_KERNELS_H_

#include <cstddef>

#include "rocm/include/hip/hip_runtime_api.h"
#include "rocm/include/hipblas.h"
#include "tensorflow/compiler/xla/service/custom_call_status.h"

namespace jax {

// Set of types known to Hipsolver.
enum class HipblasType {
  F32,
  F64,
  C64,
  C128,
};

// Batched triangular solve: trsmbatched

struct TrsmBatchedDescriptor {
  HipblasType type;
  int batch, m, n;
  hipblasSideMode_t side;
  hipblasFillMode_t uplo;
  hipblasOperation_t trans;
  hipblasDiagType_t diag;
};

void TrsmBatched(hipStream_t stream, void** buffers, const char* opaque,
                 size_t opaque_len, XlaCustomCallStatus* status);

// Batched LU decomposition: getrfbatched

struct GetrfBatchedDescriptor {
  HipblasType type;
  int batch, n;
};

void GetrfBatched(hipStream_t stream, void** buffers, const char* opaque,
                  size_t opaque_len, XlaCustomCallStatus* status);

// Batched QR decomposition: geqrfbatched

struct GeqrfBatchedDescriptor {
  HipblasType type;
  int batch, m, n;
};

void GeqrfBatched(hipStream_t stream, void** buffers, const char* opaque,
                  size_t opaque_len, XlaCustomCallStatus* status);

}  // namespace jax

#endif  // JAXLIB_HIPBLAS_KERNELS_H_