InfiniTensor/include/cuda/cuda_common.h

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#pragma once
#include "core/common.h"
#include <cublas_v2.h>
#include <cuda.h>
#include <cuda_profiler_api.h>
#include <cudnn.h>
#include <curand.h>
// TODO: replace with Exception (IT_ASSERT)
#define checkCudaError(call) \
{ \
auto err = call; \
if (cudaSuccess != err) { \
fprintf(stderr, "Cuda error in %s:%i : %s.\n", __FILE__, __LINE__, \
cudaGetErrorString(err)); \
exit(EXIT_FAILURE); \
} \
}
#define checkCUresult(call) \
{ \
auto err = call; \
const char *errName; \
if (CUDA_SUCCESS != err) { \
cuGetErrorString(err, &errName); \
IT_ASSERT(err == CUDA_SUCCESS, \
(string("CU error: ") + string(errName))); \
} \
}
#define checkCublasError(call) \
{ \
auto err = call; \
if (CUBLAS_STATUS_SUCCESS != err) { \
fprintf(stderr, "cuBLAS error in %s:%i : %s.\n", __FILE__, \
__LINE__, cublasGetErrorString(err)); \
exit(EXIT_FAILURE); \
} \
}
#define checkCudnnError(call) \
{ \
auto err = call; \
if (CUDNN_STATUS_SUCCESS != err) { \
fprintf(stderr, "cuDNN error in %s:%i : %s.\n", __FILE__, \
__LINE__, cudnnGetErrorString(err)); \
exit(EXIT_FAILURE); \
} \
}
#define checkCurandError(call) \
{ \
auto err = call; \
if (CURAND_STATUS_SUCCESS != err) { \
fprintf(stderr, "cuRAND error in %s:%i : %s.\n", __FILE__, \
__LINE__, curandGetErrorString(err)); \
exit(EXIT_FAILURE); \
} \
}
namespace infini {
inline const char *cublasGetErrorString(cublasStatus_t error) {
switch (error) {
case CUBLAS_STATUS_SUCCESS:
return "CUBLAS_STATUS_SUCCESS";
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";
}
return "<unknown>";
}
inline const char *curandGetErrorString(curandStatus_t error) {
switch (error) {
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";
}
return "<unknown>";
}
using CudaPtr = void *;
} // namespace infini