/* Copyright (c) 2016 PaddlePaddle 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. */

#pragma once

#ifdef __GNUC__
#include <cxxabi.h>  // for __cxa_demangle
#endif               // __GNUC__

#if !defined(_WIN32)
#include <dlfcn.h>    // dladdr
#else                 // _WIN32
#define NOMINMAX      // msvc max/min macro conflict with std::min/max
#include <windows.h>  // GetModuleFileName
#endif

#ifdef PADDLE_WITH_CUDA
#include <cublas_v2.h>
#include <cudnn.h>
#include <curand.h>
#include <thrust/system/cuda/error.h>
#include <thrust/system_error.h>
#endif  // PADDLE_WITH_CUDA

#include <fstream>
#include <iomanip>
#include <iostream>
#include <memory>
#include <sstream>
#include <stdexcept>
#include <string>
#include <type_traits>
#include <utility>

#define GLOG_NO_ABBREVIATED_SEVERITIES  // msvc conflict logging with windows.h
#include "glog/logging.h"
#include "paddle/fluid/platform/cuda_error.pb.h"
#include "paddle/fluid/platform/errors.h"
#include "paddle/fluid/platform/macros.h"
#include "paddle/fluid/platform/port.h"
#include "paddle/fluid/string/printf.h"
#include "paddle/fluid/string/to_string.h"

#ifdef PADDLE_WITH_CUDA
#include "paddle/fluid/platform/dynload/cublas.h"
#include "paddle/fluid/platform/dynload/cudnn.h"
#include "paddle/fluid/platform/dynload/curand.h"
#if !defined(__APPLE__) && defined(PADDLE_WITH_NCCL)
#include "paddle/fluid/platform/dynload/nccl.h"
#endif  // __APPLE__
#endif  // PADDLE_WITH_CUDA

namespace paddle {
namespace platform {

/** HELPER MACROS AND FUNCTIONS **/

#ifndef PADDLE_MAY_THROW
#define PADDLE_MAY_THROW noexcept(false)
#endif

// Because most enforce conditions would evaluate to true, we can use
// __builtin_expect to instruct the C++ compiler to generate code that
// always forces branch prediction of true.
// This generates faster binary code. __builtin_expect is since C++11.
// For more details, please check https://stackoverflow.com/a/43870188/724872.
#if !defined(_WIN32)
#define UNLIKELY(condition) __builtin_expect(static_cast<bool>(condition), 0)
#else
// there is no equivalent intrinsics in msvc.
#define UNLIKELY(condition) (condition)
#endif

#if !defined(_WIN32)
#define LIKELY(condition) __builtin_expect(static_cast<bool>(condition), 1)
#else
// there is no equivalent intrinsics in msvc.
#define LIKELY(condition) (condition)
#endif

#if defined _WIN32 && defined PADDLE_ON_INFERENCE && defined PADDLE_NO_PYTHON
#define HANDLE_THE_ERROR try {
#define END_HANDLE_THE_ERROR            \
  }                                     \
  catch (const std::exception& e) {     \
    std::cout << e.what() << std::endl; \
    throw;                              \
  }
#else
#define HANDLE_THE_ERROR
#define END_HANDLE_THE_ERROR
#endif

#ifdef __GNUC__
inline std::string demangle(std::string name) {
  int status = -4;  // some arbitrary value to eliminate the compiler warning
  std::unique_ptr<char, void (*)(void*)> res{
      abi::__cxa_demangle(name.c_str(), NULL, NULL, &status), std::free};
  return (status == 0) ? res.get() : name;
}
#else
inline std::string demangle(std::string name) { return name; }
#endif

namespace details {
template <typename T>
inline constexpr bool IsArithmetic() {
  return std::is_arithmetic<T>::value;
}

template <typename T1, typename T2, bool kIsArithmetic /* = true */>
struct TypeConverterImpl {
  using Type1 = typename std::common_type<T1, T2>::type;
  using Type2 = Type1;
};

template <typename T1, typename T2>
struct TypeConverterImpl<T1, T2, false> {
  using Type1 = T1;
  using Type2 = T2;
};

template <typename T1, typename T2>
struct TypeConverter {
 private:
  static constexpr bool kIsArithmetic =
      IsArithmetic<T1>() && IsArithmetic<T2>();

 public:
  using Type1 = typename TypeConverterImpl<T1, T2, kIsArithmetic>::Type1;
  using Type2 = typename TypeConverterImpl<T1, T2, kIsArithmetic>::Type2;
};

template <typename T1, typename T2>
using CommonType1 = typename std::add_lvalue_reference<
    typename std::add_const<typename TypeConverter<T1, T2>::Type1>::type>::type;

template <typename T1, typename T2>
using CommonType2 = typename std::add_lvalue_reference<
    typename std::add_const<typename TypeConverter<T1, T2>::Type2>::type>::type;

// Here, we use SFINAE to check whether T can be converted to std::string
template <typename T>
struct CanToString {
 private:
  using YesType = uint8_t;
  using NoType = uint16_t;

  template <typename U>
  static YesType Check(decltype(std::cout << std::declval<U>())) {
    return 0;
  }

  template <typename U>
  static NoType Check(...) {
    return 0;
  }

 public:
  static constexpr bool kValue =
      std::is_same<YesType, decltype(Check<T>(std::cout))>::value;
};

template <bool kCanToString /* = true */>
struct BinaryCompareMessageConverter {
  template <typename T>
  static std::string Convert(const char* expression, const T& value) {
    return expression + std::string(":") + string::to_string(value);
  }
};

template <>
struct BinaryCompareMessageConverter<false> {
  template <typename T>
  static const char* Convert(const char* expression, const T& value) {
    return expression;
  }
};
}  // namespace details

template <typename StrType>
inline std::string GetTraceBackString(StrType&& what, const char* file,
                                      int line) {
  static constexpr int TRACE_STACK_LIMIT = 100;
  std::ostringstream sout;

  sout << "\n\n--------------------------------------------\n";
  sout << "C++ Call Stacks (More useful to developers):";
  sout << "\n--------------------------------------------\n";
#if !defined(_WIN32)
  void* call_stack[TRACE_STACK_LIMIT];
  auto size = backtrace(call_stack, TRACE_STACK_LIMIT);
  auto symbols = backtrace_symbols(call_stack, size);
  Dl_info info;
  int idx = 0;
  for (int i = 0; i < size; ++i) {
    if (dladdr(call_stack[i], &info) && info.dli_sname) {
      auto demangled = demangle(info.dli_sname);
      std::string path(info.dli_fname);
      // C++ traceback info are from core.so
      if (path.substr(path.length() - 3).compare(".so") == 0) {
        sout << string::Sprintf("%-3d %s\n", idx++, demangled);
      }
    }
  }
  free(symbols);
#else
  sout << "Windows not support stack backtrace yet.\n";
#endif
  sout << "\n----------------------\nError Message "
          "Summary:\n----------------------\n";
  sout << string::Sprintf("%s at (%s:%d)", std::forward<StrType>(what), file,
                          line)
       << std::endl;
  return sout.str();
}

inline bool is_error(bool stat) { return !stat; }

inline void throw_on_error(bool stat, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw std::runtime_error(msg);
#else
  LOG(FATAL) << msg;
#endif
}

// Note: This Macro can only be used within enforce.h
#define __THROW_ERROR_INTERNAL__(...)                                \
  do {                                                               \
    HANDLE_THE_ERROR                                                 \
    throw ::paddle::platform::EnforceNotMet(                         \
        ::paddle::string::Sprintf(__VA_ARGS__), __FILE__, __LINE__); \
    END_HANDLE_THE_ERROR                                             \
  } while (0)

/** ENFORCE EXCEPTION AND MACROS **/

struct EnforceNotMet : public std::exception {
  EnforceNotMet(std::exception_ptr e, const char* file, int line) {
    try {
      std::rethrow_exception(e);
    } catch (std::exception& e) {
      err_str_ = GetTraceBackString(e.what(), file, line);
    }
  }

  EnforceNotMet(const std::string& str, const char* file, int line)
      : err_str_(GetTraceBackString(str, file, line)) {}

  EnforceNotMet(const platform::ErrorSummary& error, const char* file, int line)
      : err_str_(GetTraceBackString(error.ToString(), file, line)) {}

  const char* what() const noexcept override { return err_str_.c_str(); }

  std::string err_str_;
};

#define PADDLE_THROW(...)                                                   \
  do {                                                                      \
    HANDLE_THE_ERROR                                                        \
    throw ::paddle::platform::EnforceNotMet(                                \
        ::paddle::platform::ErrorSummary(__VA_ARGS__), __FILE__, __LINE__); \
    END_HANDLE_THE_ERROR                                                    \
  } while (0)

#if defined(__CUDA_ARCH__)
// For cuda, the assertions can affect performance and it is therefore
// recommended to disable them in production code
// https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#assertion
#define PADDLE_ENFORCE(_IS_NOT_ERROR, __FORMAT, ...)                         \
  do {                                                                       \
    if (!(_IS_NOT_ERROR)) {                                                  \
      printf("Error: %s:%d Assertion `%s` failed. " __FORMAT "\n", __FILE__, \
             __LINE__, #_IS_NOT_ERROR, ##__VA_ARGS__);                       \
      asm("trap;");                                                          \
    }                                                                        \
  } while (0)
#else
#define PADDLE_ENFORCE(COND, ...)                                         \
  do {                                                                    \
    auto __cond__ = (COND);                                               \
    if (UNLIKELY(::paddle::platform::is_error(__cond__))) {               \
      try {                                                               \
        ::paddle::platform::throw_on_error(                               \
            __cond__,                                                     \
            ::paddle::platform::ErrorSummary(__VA_ARGS__).ToString());    \
      } catch (...) {                                                     \
        HANDLE_THE_ERROR                                                  \
        throw ::paddle::platform::EnforceNotMet(std::current_exception(), \
                                                __FILE__, __LINE__);      \
        END_HANDLE_THE_ERROR                                              \
      }                                                                   \
    }                                                                     \
  } while (0)
#endif

/*
 * Some enforce helpers here, usage:
 *    int a = 1;
 *    int b = 2;
 *    PADDLE_ENFORCE_EQ(a, b);
 *
 *    will raise an expression described as follows:
 *    "Expected input a == b, but received a(1) != b(2)."
 *      with detailed stack information.
 *
 *    extra messages is also supported, for example:
 *    PADDLE_ENFORCE(a, b, "some simple enforce failed between %d numbers", 2)
 */

#define PADDLE_ENFORCE_NOT_NULL(__VAL, ...)                          \
  do {                                                               \
    if (UNLIKELY(nullptr == (__VAL))) {                              \
      __THROW_ERROR_INTERNAL__(                                      \
          "%s\n  [Hint: " #__VAL " should not be null.]",            \
          ::paddle::platform::ErrorSummary(__VA_ARGS__).ToString()); \
    }                                                                \
  } while (0)

#define __PADDLE_BINARY_COMPARE(__VAL1, __VAL2, __CMP, __INV_CMP, ...)         \
  do {                                                                         \
    auto __val1 = (__VAL1);                                                    \
    auto __val2 = (__VAL2);                                                    \
    using __TYPE1__ = decltype(__val1);                                        \
    using __TYPE2__ = decltype(__val2);                                        \
    using __COMMON_TYPE1__ =                                                   \
        ::paddle::platform::details::CommonType1<__TYPE1__, __TYPE2__>;        \
    using __COMMON_TYPE2__ =                                                   \
        ::paddle::platform::details::CommonType2<__TYPE1__, __TYPE2__>;        \
    bool __is_not_error = (static_cast<__COMMON_TYPE1__>(__val1))__CMP(        \
        static_cast<__COMMON_TYPE2__>(__val2));                                \
    if (UNLIKELY(!__is_not_error)) {                                           \
      constexpr bool __kCanToString__ =                                        \
          ::paddle::platform::details::CanToString<__TYPE1__>::kValue &&       \
          ::paddle::platform::details::CanToString<__TYPE2__>::kValue;         \
      __THROW_ERROR_INTERNAL__(                                                \
          "%s\n  [Hint: Expected %s " #__CMP                                   \
          " %s, but received %s " #__INV_CMP " %s.]",                          \
          ::paddle::platform::ErrorSummary(__VA_ARGS__).ToString(), #__VAL1,   \
          #__VAL2, ::paddle::platform::details::BinaryCompareMessageConverter< \
                       __kCanToString__>::Convert(#__VAL1, __val1),            \
          ::paddle::platform::details::BinaryCompareMessageConverter<          \
              __kCanToString__>::Convert(#__VAL2, __val2));                    \
    }                                                                          \
  } while (0)

#define PADDLE_ENFORCE_EQ(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, ==, !=, __VA_ARGS__)
#define PADDLE_ENFORCE_NE(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, !=, ==, __VA_ARGS__)
#define PADDLE_ENFORCE_GT(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, >, <=, __VA_ARGS__)
#define PADDLE_ENFORCE_GE(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, >=, <, __VA_ARGS__)
#define PADDLE_ENFORCE_LT(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, <, >=, __VA_ARGS__)
#define PADDLE_ENFORCE_LE(__VAL0, __VAL1, ...) \
  __PADDLE_BINARY_COMPARE(__VAL0, __VAL1, <=, >, __VA_ARGS__)

/** EXTENDED TOOL FUNCTIONS WITH CHECKING **/

/*
 * Summary: This macro is used to get Variable or internal type
 *   data (such as LoDTensor or SelectedRows) of the Input and
 *   Output in op, generally used when call scope.FindVar(Input/
 *   Output("Name")) or ctx.Input<LoDTensor>().
 *   Firstly this macro check whether the obtained pointer is null,
 *   and then return data if it is not null.
 *
 * Note: This macro is only suitable for specific scenarios and
 *   does not intended to be widely used. If it cannot meet the
 *   requirements, please use other PADDLE_ENFORCE** check macro.
 *
 * Parameters:
 *     __PTR: pointer
 *     __ROLE: (string), Input or Output
 *     __NAME: (string), Input or Output name
 *     __OP_TYPE: (string), the op type
 *  
 * Return: The data pointed to by the pointer.
 *
 * Examples:
 *    GET_DATA_SAFELY(ctx.Input<LoDTensor>("X"), "Input", "X", "Mul");
*/
#define GET_DATA_SAFELY(__PTR, __ROLE, __NAME, __OP_TYPE)                   \
  (([&]() -> std::add_lvalue_reference<decltype(*(__PTR))>::type {          \
    auto* __ptr = (__PTR);                                                  \
    if (UNLIKELY(nullptr == __ptr)) {                                       \
      __THROW_ERROR_INTERNAL__(                                             \
          "%s\n  [Hint: pointer " #__PTR " should not be null.]",           \
          paddle::platform::errors::NotFound(                               \
              "Unable to get %s data of %s %s in operator %s. "             \
              "Possible reasons are:\n"                                     \
              "  1. The %s is not the %s of operator %s;\n"                 \
              "  2. The %s has no corresponding variable passed in;\n"      \
              "  3. The %s corresponding variable is not initialized.",     \
              paddle::platform::demangle(                                   \
                  typeid(std::add_lvalue_reference<decltype(*__ptr)>::type) \
                      .name()),                                             \
              __ROLE, __NAME, __OP_TYPE, __NAME, __ROLE, __OP_TYPE, __NAME, \
              __NAME)                                                       \
              .ToString());                                                 \
    }                                                                       \
    return *__ptr;                                                          \
  })())

/*
 * Summary: This macro is used to check whether op has specified
 * Input or Output Variables. Because op's Input and Output
 * checking are written similarly, so abstract this macro.
 *
 * Parameters:
 *     __EXPR: (bool), the bool expression
 *     __ROLE: (string), Input or Output
 *     __NAME: (string), Input or Output name
 *     __OP_TYPE: (string), the op type
 *
 * Examples:
 *    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "Mul");
*/
#define OP_INOUT_CHECK(__EXPR, __ROLE, __NAME, __OP_TYPE)                   \
  do {                                                                      \
    PADDLE_ENFORCE_EQ(__EXPR, true, paddle::platform::errors::NotFound(     \
                                        "No %s(%s) found for %s operator.", \
                                        __ROLE, __NAME, __OP_TYPE));        \
  } while (0)

/** OTHER EXCEPTION AND ENFORCE **/

struct EOFException : public std::exception {
  std::string err_str_;
  EOFException(const char* err_msg, const char* file, int line) {
    err_str_ = string::Sprintf("%s at [%s:%d]", err_msg, file, line);
  }

  const char* what() const noexcept override { return err_str_.c_str(); }
};

#define PADDLE_THROW_EOF()                                                     \
  do {                                                                         \
    HANDLE_THE_ERROR                                                           \
    throw ::paddle::platform::EOFException("There is no next data.", __FILE__, \
                                           __LINE__);                          \
    END_HANDLE_THE_ERROR                                                       \
  } while (0)

#define PADDLE_THROW_BAD_ALLOC(...)                                         \
  do {                                                                      \
    HANDLE_THE_ERROR                                                        \
    throw ::paddle::memory::allocation::BadAlloc(                           \
        ::paddle::platform::ErrorSummary(__VA_ARGS__).ToString(), __FILE__, \
        __LINE__);                                                          \
    END_HANDLE_THE_ERROR                                                    \
  } while (0)

/** CUDA PADDLE ENFORCE FUNCTIONS AND MACROS **/
#ifdef PADDLE_WITH_CUDA

/***** CUDA ERROR *****/
inline bool is_error(cudaError_t e) { return e != cudaSuccess; }

inline std::string GetCudaErrorWebsite(int32_t cuda_version) {
  std::ostringstream webstr;
  webstr << "https://docs.nvidia.com/cuda/";
  if (cuda_version != -1) {
    double version = cuda_version / 10;
    webstr << "archive/" << std::fixed << std::setprecision(1) << version;
  }
  webstr << "/cuda-runtime-api/group__CUDART__TYPES.html"
            "#group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038";
  return webstr.str();
}

inline std::string build_nvidia_error_msg(cudaError_t e) {
#if CUDA_VERSION >= 10000 && CUDA_VERSION < 11000
  int32_t cuda_version = 100;
#elif CUDA_VERSION >= 9000
  int32_t cuda_version = 90;
#else
  int32_t cuda_version = -1;
#endif
  std::ostringstream sout;
  sout << " Cuda error(" << e << "), " << cudaGetErrorString(e) << ".";
  static platform::proto::cudaerrorDesc cudaerror;
  static bool _initSucceed = false;
  if (cudaerror.ByteSizeLong() == 0) {
    std::string filePath;
#if !defined(_WIN32)
    Dl_info info;
    if (dladdr(reinterpret_cast<void*>(GetCudaErrorWebsite), &info)) {
      std::string strModule(info.dli_fname);
      const size_t last_slash_idx = strModule.find_last_of("/");
      std::string compare_path = strModule.substr(strModule.length() - 6);
      if (std::string::npos != last_slash_idx) {
        strModule.erase(last_slash_idx, std::string::npos);
      }
      if (compare_path.compare("avx.so") == 0) {
        filePath = strModule +
                   "/../include/third_party/cudaerror/data/cudaErrorMessage.pb";
      } else {
        filePath =
            strModule + "/../../thirl_party/cudaerror/data/cudaErrorMessage.pb";
      }
    }
#else
    char buf[100];
    MEMORY_BASIC_INFORMATION mbi;
    HMODULE h_module =
        (::VirtualQuery(GetCudaErrorWebsite, &mbi, sizeof(mbi)) != 0)
            ? (HMODULE)mbi.AllocationBase
            : NULL;
    GetModuleFileName(h_module, buf, 100);
    std::string strModule(buf);
    const size_t last_slash_idx = strModule.find_last_of("\\");
    std::string compare_path = strModule.substr(strModule.length() - 7);
    if (std::string::npos != last_slash_idx) {
      strModule.erase(last_slash_idx, std::string::npos);
    }
    if (compare_path.compare("avx.pyd") == 0) {
      filePath =
          strModule +
          "\\..\\include\\third_party\\cudaerror\\data\\cudaErrorMessage.pb";
    } else {
      filePath =
          strModule + "\\..\\third_party\\cudaerror\\data\\cudaErrorMessage.pb";
    }
#endif
    std::ifstream fin(filePath, std::ios::in | std::ios::binary);
    _initSucceed = cudaerror.ParseFromIstream(&fin);
  }
  if (_initSucceed) {
    for (int i = 0; i < cudaerror.allmessages_size(); ++i) {
      if (cuda_version == cudaerror.allmessages(i).version()) {
        for (int j = 0; j < cudaerror.allmessages(i).messages_size(); ++j) {
          if (e == cudaerror.allmessages(i).messages(j).errorcode()) {
            sout << "\n  [Advise: "
                 << cudaerror.allmessages(i).messages(j).errormessage() << "]";
            return sout.str();
          }
        }
      }
    }
  }
  sout << "\n  [Advise: Please search for the error code(" << e
       << ") on website( " << GetCudaErrorWebsite(cuda_version)
       << " ) to get Nvidia's official solution about CUDA Error.]";
  return sout.str();
}

inline void throw_on_error(cudaError_t e, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw std::runtime_error(msg);
#else
  LOG(FATAL) << msg;
#endif
}

/** curand ERROR **/
inline bool is_error(curandStatus_t stat) {
  return stat != CURAND_STATUS_SUCCESS;
}

inline const char* curandGetErrorString(curandStatus_t stat) {
  switch (stat) {
    case CURAND_STATUS_SUCCESS:
      return "CURAND_STATUS_SUCCESS";
    case CURAND_STATUS_VERSION_MISMATCH:
      return "CURAND_STATUS_VERSION_MISMATCH";
    case CURAND_STATUS_NOT_INITIALIZED:
      return "CURAND_STATUS_NOT_INITIALIZED";
    case CURAND_STATUS_ALLOCATION_FAILED:
      return "CURAND_STATUS_ALLOCATION_FAILED";
    case CURAND_STATUS_TYPE_ERROR:
      return "CURAND_STATUS_TYPE_ERROR";
    case CURAND_STATUS_OUT_OF_RANGE:
      return "CURAND_STATUS_OUT_OF_RANGE";
    case CURAND_STATUS_LENGTH_NOT_MULTIPLE:
      return "CURAND_STATUS_LENGTH_NOT_MULTIPLE";
    case CURAND_STATUS_DOUBLE_PRECISION_REQUIRED:
      return "CURAND_STATUS_DOUBLE_PRECISION_REQUIRED";
    case CURAND_STATUS_LAUNCH_FAILURE:
      return "CURAND_STATUS_LAUNCH_FAILURE";
    case CURAND_STATUS_PREEXISTING_FAILURE:
      return "CURAND_STATUS_PREEXISTING_FAILURE";
    case CURAND_STATUS_INITIALIZATION_FAILED:
      return "CURAND_STATUS_INITIALIZATION_FAILED";
    case CURAND_STATUS_ARCH_MISMATCH:
      return "CURAND_STATUS_ARCH_MISMATCH";
    case CURAND_STATUS_INTERNAL_ERROR:
      return "CURAND_STATUS_INTERNAL_ERROR";
    default:
      return "Unknown curand status";
  }
}

inline std::string build_nvidia_error_msg(curandStatus_t stat) {
  std::string msg(" Curand error, ");
  return msg + curandGetErrorString(stat) + " ";
}

inline void throw_on_error(curandStatus_t stat, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw thrust::system_error(cudaErrorLaunchFailure, thrust::cuda_category(),
                             msg);
#else
  LOG(FATAL) << msg;
#endif
}

/***** CUDNN ERROR *****/
inline bool is_error(cudnnStatus_t stat) {
  return stat != CUDNN_STATUS_SUCCESS;
}

inline std::string build_nvidia_error_msg(cudnnStatus_t stat) {
  std::string msg(" Cudnn error, ");
  return msg + platform::dynload::cudnnGetErrorString(stat) + " ";
}

inline void throw_on_error(cudnnStatus_t stat, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw std::runtime_error(msg);
#else
  LOG(FATAL) << msg;
#endif
}

/***** CUBLAS ERROR *****/
inline bool is_error(cublasStatus_t stat) {
  return stat != CUBLAS_STATUS_SUCCESS;
}

inline const char* cublasGetErrorString(cublasStatus_t stat) {
  switch (stat) {
    case CUBLAS_STATUS_NOT_INITIALIZED:
      return "CUBLAS_STATUS_NOT_INITIALIZED";
    case CUBLAS_STATUS_ALLOC_FAILED:
      return "CUBLAS_STATUS_ALLOC_FAILED";
    case CUBLAS_STATUS_INVALID_VALUE:
      return "CUBLAS_STATUS_INVALID_VALUE";
    case CUBLAS_STATUS_ARCH_MISMATCH:
      return "CUBLAS_STATUS_ARCH_MISMATCH";
    case CUBLAS_STATUS_MAPPING_ERROR:
      return "CUBLAS_STATUS_MAPPING_ERROR";
    case CUBLAS_STATUS_EXECUTION_FAILED:
      return "CUBLAS_STATUS_EXECUTION_FAILED";
    case CUBLAS_STATUS_INTERNAL_ERROR:
      return "CUBLAS_STATUS_INTERNAL_ERROR";
    case CUBLAS_STATUS_NOT_SUPPORTED:
      return "CUBLAS_STATUS_NOT_SUPPORTED";
    case CUBLAS_STATUS_LICENSE_ERROR:
      return "CUBLAS_STATUS_LICENSE_ERROR";
    default:
      return "Unknown cublas status";
  }
}

inline std::string build_nvidia_error_msg(cublasStatus_t stat) {
  std::string msg(" Cublas error, ");
  return msg + cublasGetErrorString(stat) + " ";
}

inline void throw_on_error(cublasStatus_t stat, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw std::runtime_error(msg);
#else
  LOG(FATAL) << msg;
#endif
}

/****** NCCL ERROR ******/
#if !defined(__APPLE__) && defined(PADDLE_WITH_NCCL)
inline bool is_error(ncclResult_t nccl_result) {
  return nccl_result != ncclSuccess;
}

inline std::string build_nvidia_error_msg(ncclResult_t nccl_result) {
  std::string msg(" Nccl error, ");
  return msg + platform::dynload::ncclGetErrorString(nccl_result) + " ";
}

inline void throw_on_error(ncclResult_t nccl_result, const std::string& msg) {
#ifndef REPLACE_ENFORCE_GLOG
  throw std::runtime_error(msg);
#else
  LOG(FATAL) << msg;
#endif
}
#endif  // not(__APPLE__) and PADDLE_WITH_NCCL

namespace details {

template <typename T>
struct CudaStatusType {};

#define DEFINE_CUDA_STATUS_TYPE(type, success_value) \
  template <>                                        \
  struct CudaStatusType<type> {                      \
    using Type = type;                               \
    static constexpr Type kSuccess = success_value;  \
  }

DEFINE_CUDA_STATUS_TYPE(cudaError_t, cudaSuccess);
DEFINE_CUDA_STATUS_TYPE(curandStatus_t, CURAND_STATUS_SUCCESS);
DEFINE_CUDA_STATUS_TYPE(cudnnStatus_t, CUDNN_STATUS_SUCCESS);
DEFINE_CUDA_STATUS_TYPE(cublasStatus_t, CUBLAS_STATUS_SUCCESS);

#if !defined(__APPLE__) && defined(PADDLE_WITH_NCCL)
DEFINE_CUDA_STATUS_TYPE(ncclResult_t, ncclSuccess);
#endif

}  // namespace details

#define PADDLE_ENFORCE_CUDA_SUCCESS(COND)                                 \
  do {                                                                    \
    auto __cond__ = (COND);                                               \
    using __CUDA_STATUS_TYPE__ = decltype(__cond__);                      \
    constexpr auto __success_type__ =                                     \
        ::paddle::platform::details::CudaStatusType<                      \
            __CUDA_STATUS_TYPE__>::kSuccess;                              \
    if (UNLIKELY(__cond__ != __success_type__)) {                         \
      try {                                                               \
        ::paddle::platform::throw_on_error(                               \
            __cond__,                                                     \
            ::paddle::platform::errors::External(                         \
                ::paddle::platform::build_nvidia_error_msg(__cond__))     \
                .ToString());                                             \
      } catch (...) {                                                     \
        HANDLE_THE_ERROR                                                  \
        throw ::paddle::platform::EnforceNotMet(std::current_exception(), \
                                                __FILE__, __LINE__);      \
        END_HANDLE_THE_ERROR                                              \
      }                                                                   \
    }                                                                     \
  } while (0)

#undef DEFINE_CUDA_STATUS_TYPE
#endif  // PADDLE_WITH_CUDA

}  // namespace platform
}  // namespace paddle
