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error_helper.h
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error_helper.h
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#ifndef __ERROR_HANDLER_H__
#define __ERROR_HANDLER_H__
#include <iostream>
#include <string>
#include <type_traits>
#include <cuda_runtime.h>
#include <cublas_v2.h>
#include <cusparse.h>
namespace zex
{
// some simple meta programming
// ===== is_any =====
template<typename T, typename ... R>
struct is_any : std::false_type {};
template<typename T, typename F>
struct is_any<T, F> : std::is_same<T, F> {};
template<typename T, typename F, typename ...R>
struct is_any<T, F, R...> :
std::integral_constant<bool, std::is_same<T, F>::value
|| is_any<T, R...>::value>{};
// ===== type_index =====
template<int _case, typename T, typename ...R>
struct _type_index : std::false_type {};
template<int _case, typename T, typename F>
struct _type_index<_case, T, F> : std::conditional<std::is_same<T, F>::value,
std::integral_constant<int, _case>,
std::integral_constant<int, -1>>::type{};
template<int _case, typename T, typename F, typename ...R>
struct _type_index<_case, T, F, R...> : std::conditional<std::is_same<T, F>::value,
_type_index<_case, T, F>, _type_index<_case+1, T, R...>>::type{};
template<typename T, typename ...R>
struct type_index : _type_index<0, T, R...>{};
// ===== type_case =====
template<int _case, typename ...R>
struct _type_case : std::false_type{};
template<int _case, typename T>
struct _type_case<_case, T> { typedef T type; };
template<int _case, typename T, typename ...R>
struct _type_case<_case, T, R...> : std::conditional<_case==0, _type_case<_case, T>,
_type_case<_case-1, R...>>::type{};
template<int _case, typename ...T>
struct type_case : _type_case<_case, T...> {};
// ===== tv_pair =====
template<typename T, T V>
struct tv_pair {
typedef T type;
static constexpr T value=V;
};
// ===== pick/options =====
// recursive call
template<int _case>
struct pick{
constexpr static bool _options() { return false; }
template<typename T, typename ...Tail>
constexpr static auto _options(const T& head, Tail&&...tail)
-> decltype(pick<_case-1>::_options(std::forward<Tail>(tail)...))
{
return pick<_case-1>::_options(tail...);
}
template<typename T, typename ...Tail>
constexpr static auto options(const T& head, Tail&&...tail)
-> decltype(pick<_case-1>::_options(tail...))
{
return pick<_case-1>::_options(tail...);
}
};
// stopping state
template<>
struct pick<0>{
template<typename T, typename ...Tail>
constexpr static auto _options(const T& head, Tail&&...tail)
-> decltype(head)
{
return head;
}
template<typename T, typename ...Tail>
constexpr static auto options(const T& head, Tail&&...tail)
-> decltype(head)
{
return head;
}
};
// namespace zex {end}
}
// =========================================
#define error_check(err) error_handler(err, #err, __LINE__, __FILE__)
#ifdef ERROR_HELPER_DONT_IMPLEMENT
const char *error_message(cublasStatus_t err);
const char *error_message(cusparseStatus_t err);
const char *error_message(cudaError_t err);
#else
const char *error_message(cublasStatus_t err)
{
switch(err)
{
case CUBLAS_STATUS_NOT_INITIALIZED:
return "library not initialized";
case CUBLAS_STATUS_ALLOC_FAILED:
return "failed to allocate resources";
case CUBLAS_STATUS_INVALID_VALUE:
return "got invalid value";
case CUBLAS_STATUS_ARCH_MISMATCH:
return "device does not support double/half precision";
case CUBLAS_STATUS_EXECUTION_FAILED:
return "failed to launch on the GPU";
case CUBLAS_STATUS_MAPPING_ERROR:
return "access gpu error";
}
return "other error occurred";
}
const char *error_message(cusparseStatus_t err)
{
switch(err)
{
case CUSPARSE_STATUS_NOT_INITIALIZED:
return "library not initialized";
case CUSPARSE_STATUS_ALLOC_FAILED:
return "failed to allocate resources";
case CUSPARSE_STATUS_INVALID_VALUE:
return "got invalid value";
case CUSPARSE_STATUS_ARCH_MISMATCH:
return "device does not support double/half precision";
case CUSPARSE_STATUS_EXECUTION_FAILED:
return "failed to launch on the GPU";
case CUSPARSE_STATUS_INTERNAL_ERROR:
return "An internal cuSPARSE operation failed";
case CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED:
return "The matrix type is not supported by this function";
case CUSPARSE_STATUS_NOT_SUPPORTED:
return "The operation or data type combination is currently not supported by the function";
case CUSPARSE_STATUS_INSUFFICIENT_RESOURCES:
return "Out of memory";
}
return "other error occurred";
}
const char *error_message(cudaError_t err)
{
switch(err)
{
case cudaErrorMemoryAllocation:
return "failed to allocate resources";
case cudaErrorInitializationError:
return "failed to initialize cuda";
case cudaErrorInvalidValue:
return "got invalid value";
}
return "other error occurred";
}
#endif
template<typename t, t v>
using pair = zex::tv_pair<t, v>;
// some simple metaprogramming, ensure that the error type is one of those types in is_any list
template<typename errT>
void error_handler(errT err, const std::string& func, const int& line, const std::string& file)
{
static_assert(zex::is_any<errT, cudaError_t, cublasStatus_t, cusparseStatus_t>::value,
"Error type must be one of the types: cudaError_t, cublasStatus_t or cusparseStatue_t");
// type switch-case
using tidx = zex::type_index<errT, cudaError_t, cublasStatus_t, cusparseStatus_t>;
// pick the "tidx::value"th option from the options list
if( err != zex::pick<tidx::value>::options(cudaSuccess, CUBLAS_STATUS_SUCCESS, CUSPARSE_STATUS_SUCCESS))
{
// pick the "tidx::value"th option from the options list
std::cout << zex::pick<tidx::value>::options("[cuda ERROR]", "[cuBLAS ERROR]", "[cuSPARSE ERROR]")
<< " " << error_message(err) << std::endl
<< " in line [" << line << "] : " << func << std::endl
<< " in file " << file << std::endl;
exit(1);
}
}
#endif