/* Copyright 2015 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.
==============================================================================*/
#if CUBLAS_VER_MAJOR >= 11
#include "third_party/gpus/cuda/include/cublas_v2.h"
#else
#include "third_party/gpus/cuda/include/cublas.h"
#endif
#include "third_party/gpus/cuda/include/cuda.h"
#include "tensorflow/compiler/xla/stream_executor/lib/env.h"
#include "tensorflow/compiler/xla/stream_executor/platform/dso_loader.h"

// Implements the cuBLAS API by forwarding to cuBLAS loaded from the DSO.
// Note that it does not implement the v1 interface.

namespace {
// Returns DSO handle or null if loading the DSO fails.
void* GetDsoHandle() {
#ifdef PLATFORM_GOOGLE
  return nullptr;
#else
  static auto handle = []() -> void* {
    auto handle_or = stream_executor::internal::DsoLoader::GetCublasDsoHandle();
    if (!handle_or.ok()) return nullptr;
    return handle_or.value();
  }();
  return handle;
#endif
}

template <typename T>
T LoadSymbol(const char* symbol_name) {
  void* symbol = nullptr;
  if (auto handle = GetDsoHandle()) {
    stream_executor::port::Env::Default()
        ->GetSymbolFromLibrary(handle, symbol_name, &symbol)
        .IgnoreError();
  }
  return reinterpret_cast<T>(symbol);
}

void LogFatalSymbolNotFound(const char* symbol_name) {
  LOG(FATAL) << symbol_name << " symbol not found.";
}

cublasStatus_t GetSymbolNotFoundError() { return CUBLAS_STATUS_INTERNAL_ERROR; }
}  // namespace

#if CUDA_VERSION < 9000
typedef enum {} cublasMath_t;
#endif

#if CUDA_VERSION < 10000
#include "tensorflow/compiler/xla/stream_executor/cuda/cublas_9_0.inc"
#elif CUDA_VERSION < 10010
#include "tensorflow/compiler/xla/stream_executor/cuda/cublas_10_0.inc"
#elif CUDA_VERSION < 10020
#include "tensorflow/compiler/xla/stream_executor/cuda/cublas_10_1.inc"
#elif CUDA_VERSION < 11000
#include "tensorflow/compiler/xla/stream_executor/cuda/cublas_10_2.inc"
#else
#include "tensorflow/compiler/xla/stream_executor/cuda/cublas_11_0.inc"
#endif
