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Diffstat (limited to 'debug_tools/WatchYourStep/ptxjitplus/inc/helper_cuda.h')
| -rw-r--r-- | debug_tools/WatchYourStep/ptxjitplus/inc/helper_cuda.h | 1283 |
1 files changed, 1283 insertions, 0 deletions
diff --git a/debug_tools/WatchYourStep/ptxjitplus/inc/helper_cuda.h b/debug_tools/WatchYourStep/ptxjitplus/inc/helper_cuda.h new file mode 100644 index 0000000..72b36ef --- /dev/null +++ b/debug_tools/WatchYourStep/ptxjitplus/inc/helper_cuda.h @@ -0,0 +1,1283 @@ +/** + * Copyright 1993-2013 NVIDIA Corporation. All rights reserved. + * + * Please refer to the NVIDIA end user license agreement (EULA) associated + * with this source code for terms and conditions that govern your use of + * this software. Any use, reproduction, disclosure, or distribution of + * this software and related documentation outside the terms of the EULA + * is strictly prohibited. + * + */ + +//////////////////////////////////////////////////////////////////////////////// +// These are CUDA Helper functions for initialization and error checking + +#ifndef HELPER_CUDA_H +#define HELPER_CUDA_H + +#pragma once + +#include <stdlib.h> +#include <stdio.h> +#include <string.h> + +#include <helper_string.h> + +#ifndef EXIT_WAIVED +#define EXIT_WAIVED 2 +#endif + +// Note, it is required that your SDK sample to include the proper header files, please +// refer the CUDA examples for examples of the needed CUDA headers, which may change depending +// on which CUDA functions are used. + +// CUDA Runtime error messages +#ifdef __DRIVER_TYPES_H__ +static const char *_cudaGetErrorEnum(cudaError_t error) +{ + switch (error) + { + case cudaSuccess: + return "cudaSuccess"; + + case cudaErrorMissingConfiguration: + return "cudaErrorMissingConfiguration"; + + case cudaErrorMemoryAllocation: + return "cudaErrorMemoryAllocation"; + + case cudaErrorInitializationError: + return "cudaErrorInitializationError"; + + case cudaErrorLaunchFailure: + return "cudaErrorLaunchFailure"; + + case cudaErrorPriorLaunchFailure: + return "cudaErrorPriorLaunchFailure"; + + case cudaErrorLaunchTimeout: + return "cudaErrorLaunchTimeout"; + + case cudaErrorLaunchOutOfResources: + return "cudaErrorLaunchOutOfResources"; + + case cudaErrorInvalidDeviceFunction: + return "cudaErrorInvalidDeviceFunction"; + + case cudaErrorInvalidConfiguration: + return "cudaErrorInvalidConfiguration"; + + case cudaErrorInvalidDevice: + return "cudaErrorInvalidDevice"; + + case cudaErrorInvalidValue: + return "cudaErrorInvalidValue"; + + case cudaErrorInvalidPitchValue: + return "cudaErrorInvalidPitchValue"; + + case cudaErrorInvalidSymbol: + return "cudaErrorInvalidSymbol"; + + case cudaErrorMapBufferObjectFailed: + return "cudaErrorMapBufferObjectFailed"; + + case cudaErrorUnmapBufferObjectFailed: + return "cudaErrorUnmapBufferObjectFailed"; + + case cudaErrorInvalidHostPointer: + return "cudaErrorInvalidHostPointer"; + + case cudaErrorInvalidDevicePointer: + return "cudaErrorInvalidDevicePointer"; + + case cudaErrorInvalidTexture: + return "cudaErrorInvalidTexture"; + + case cudaErrorInvalidTextureBinding: + return "cudaErrorInvalidTextureBinding"; + + case cudaErrorInvalidChannelDescriptor: + return "cudaErrorInvalidChannelDescriptor"; + + case cudaErrorInvalidMemcpyDirection: + return "cudaErrorInvalidMemcpyDirection"; + + case cudaErrorAddressOfConstant: + return "cudaErrorAddressOfConstant"; + + case cudaErrorTextureFetchFailed: + return "cudaErrorTextureFetchFailed"; + + case cudaErrorTextureNotBound: + return "cudaErrorTextureNotBound"; + + case cudaErrorSynchronizationError: + return "cudaErrorSynchronizationError"; + + case cudaErrorInvalidFilterSetting: + return "cudaErrorInvalidFilterSetting"; + + case cudaErrorInvalidNormSetting: + return "cudaErrorInvalidNormSetting"; + + case cudaErrorMixedDeviceExecution: + return "cudaErrorMixedDeviceExecution"; + + case cudaErrorCudartUnloading: + return "cudaErrorCudartUnloading"; + + case cudaErrorUnknown: + return "cudaErrorUnknown"; + + case cudaErrorNotYetImplemented: + return "cudaErrorNotYetImplemented"; + + case cudaErrorMemoryValueTooLarge: + return "cudaErrorMemoryValueTooLarge"; + + case cudaErrorInvalidResourceHandle: + return "cudaErrorInvalidResourceHandle"; + + case cudaErrorNotReady: + return "cudaErrorNotReady"; + + case cudaErrorInsufficientDriver: + return "cudaErrorInsufficientDriver"; + + case cudaErrorSetOnActiveProcess: + return "cudaErrorSetOnActiveProcess"; + + case cudaErrorInvalidSurface: + return "cudaErrorInvalidSurface"; + + case cudaErrorNoDevice: + return "cudaErrorNoDevice"; + + case cudaErrorECCUncorrectable: + return "cudaErrorECCUncorrectable"; + + case cudaErrorSharedObjectSymbolNotFound: + return "cudaErrorSharedObjectSymbolNotFound"; + + case cudaErrorSharedObjectInitFailed: + return "cudaErrorSharedObjectInitFailed"; + + case cudaErrorUnsupportedLimit: + return "cudaErrorUnsupportedLimit"; + + case cudaErrorDuplicateVariableName: + return "cudaErrorDuplicateVariableName"; + + case cudaErrorDuplicateTextureName: + return "cudaErrorDuplicateTextureName"; + + case cudaErrorDuplicateSurfaceName: + return "cudaErrorDuplicateSurfaceName"; + + case cudaErrorDevicesUnavailable: + return "cudaErrorDevicesUnavailable"; + + case cudaErrorInvalidKernelImage: + return "cudaErrorInvalidKernelImage"; + + case cudaErrorNoKernelImageForDevice: + return "cudaErrorNoKernelImageForDevice"; + + case cudaErrorIncompatibleDriverContext: + return "cudaErrorIncompatibleDriverContext"; + + case cudaErrorPeerAccessAlreadyEnabled: + return "cudaErrorPeerAccessAlreadyEnabled"; + + case cudaErrorPeerAccessNotEnabled: + return "cudaErrorPeerAccessNotEnabled"; + + case cudaErrorDeviceAlreadyInUse: + return "cudaErrorDeviceAlreadyInUse"; + + case cudaErrorProfilerDisabled: + return "cudaErrorProfilerDisabled"; + + case cudaErrorProfilerNotInitialized: + return "cudaErrorProfilerNotInitialized"; + + case cudaErrorProfilerAlreadyStarted: + return "cudaErrorProfilerAlreadyStarted"; + + case cudaErrorProfilerAlreadyStopped: + return "cudaErrorProfilerAlreadyStopped"; + + /* Since CUDA 4.0*/ + case cudaErrorAssert: + return "cudaErrorAssert"; + + case cudaErrorTooManyPeers: + return "cudaErrorTooManyPeers"; + + case cudaErrorHostMemoryAlreadyRegistered: + return "cudaErrorHostMemoryAlreadyRegistered"; + + case cudaErrorHostMemoryNotRegistered: + return "cudaErrorHostMemoryNotRegistered"; + + /* Since CUDA 5.0 */ + case cudaErrorOperatingSystem: + return "cudaErrorOperatingSystem"; + + case cudaErrorPeerAccessUnsupported: + return "cudaErrorPeerAccessUnsupported"; + + case cudaErrorLaunchMaxDepthExceeded: + return "cudaErrorLaunchMaxDepthExceeded"; + + case cudaErrorLaunchFileScopedTex: + return "cudaErrorLaunchFileScopedTex"; + + case cudaErrorLaunchFileScopedSurf: + return "cudaErrorLaunchFileScopedSurf"; + + case cudaErrorSyncDepthExceeded: + return "cudaErrorSyncDepthExceeded"; + + case cudaErrorLaunchPendingCountExceeded: + return "cudaErrorLaunchPendingCountExceeded"; + + case cudaErrorNotPermitted: + return "cudaErrorNotPermitted"; + + case cudaErrorNotSupported: + return "cudaErrorNotSupported"; + + /* Since CUDA 6.0 */ + case cudaErrorHardwareStackError: + return "cudaErrorHardwareStackError"; + + case cudaErrorIllegalInstruction: + return "cudaErrorIllegalInstruction"; + + case cudaErrorMisalignedAddress: + return "cudaErrorMisalignedAddress"; + + case cudaErrorInvalidAddressSpace: + return "cudaErrorInvalidAddressSpace"; + + case cudaErrorInvalidPc: + return "cudaErrorInvalidPc"; + + case cudaErrorIllegalAddress: + return "cudaErrorIllegalAddress"; + + /* Since CUDA 6.5*/ + case cudaErrorInvalidPtx: + return "cudaErrorInvalidPtx"; + + case cudaErrorInvalidGraphicsContext: + return "cudaErrorInvalidGraphicsContext"; + + case cudaErrorStartupFailure: + return "cudaErrorStartupFailure"; + + case cudaErrorApiFailureBase: + return "cudaErrorApiFailureBase"; + + /* Since CUDA 8.0*/ + case cudaErrorNvlinkUncorrectable : + return "cudaErrorNvlinkUncorrectable"; + } + + return "<unknown>"; +} +#endif + +#ifdef __cuda_cuda_h__ +// CUDA Driver API errors +static const char *_cudaGetErrorEnum(CUresult error) +{ + switch (error) + { + case CUDA_SUCCESS: + return "CUDA_SUCCESS"; + + case CUDA_ERROR_INVALID_VALUE: + return "CUDA_ERROR_INVALID_VALUE"; + + case CUDA_ERROR_OUT_OF_MEMORY: + return "CUDA_ERROR_OUT_OF_MEMORY"; + + case CUDA_ERROR_NOT_INITIALIZED: + return "CUDA_ERROR_NOT_INITIALIZED"; + + case CUDA_ERROR_DEINITIALIZED: + return "CUDA_ERROR_DEINITIALIZED"; + + case CUDA_ERROR_PROFILER_DISABLED: + return "CUDA_ERROR_PROFILER_DISABLED"; + + case CUDA_ERROR_PROFILER_NOT_INITIALIZED: + return "CUDA_ERROR_PROFILER_NOT_INITIALIZED"; + + case CUDA_ERROR_PROFILER_ALREADY_STARTED: + return "CUDA_ERROR_PROFILER_ALREADY_STARTED"; + + case CUDA_ERROR_PROFILER_ALREADY_STOPPED: + return "CUDA_ERROR_PROFILER_ALREADY_STOPPED"; + + case CUDA_ERROR_NO_DEVICE: + return "CUDA_ERROR_NO_DEVICE"; + + case CUDA_ERROR_INVALID_DEVICE: + return "CUDA_ERROR_INVALID_DEVICE"; + + case CUDA_ERROR_INVALID_IMAGE: + return "CUDA_ERROR_INVALID_IMAGE"; + + case CUDA_ERROR_INVALID_CONTEXT: + return "CUDA_ERROR_INVALID_CONTEXT"; + + case CUDA_ERROR_CONTEXT_ALREADY_CURRENT: + return "CUDA_ERROR_CONTEXT_ALREADY_CURRENT"; + + case CUDA_ERROR_MAP_FAILED: + return "CUDA_ERROR_MAP_FAILED"; + + case CUDA_ERROR_UNMAP_FAILED: + return "CUDA_ERROR_UNMAP_FAILED"; + + case CUDA_ERROR_ARRAY_IS_MAPPED: + return "CUDA_ERROR_ARRAY_IS_MAPPED"; + + case CUDA_ERROR_ALREADY_MAPPED: + return "CUDA_ERROR_ALREADY_MAPPED"; + + case CUDA_ERROR_NO_BINARY_FOR_GPU: + return "CUDA_ERROR_NO_BINARY_FOR_GPU"; + + case CUDA_ERROR_ALREADY_ACQUIRED: + return "CUDA_ERROR_ALREADY_ACQUIRED"; + + case CUDA_ERROR_NOT_MAPPED: + return "CUDA_ERROR_NOT_MAPPED"; + + case CUDA_ERROR_NOT_MAPPED_AS_ARRAY: + return "CUDA_ERROR_NOT_MAPPED_AS_ARRAY"; + + case CUDA_ERROR_NOT_MAPPED_AS_POINTER: + return "CUDA_ERROR_NOT_MAPPED_AS_POINTER"; + + case CUDA_ERROR_ECC_UNCORRECTABLE: + return "CUDA_ERROR_ECC_UNCORRECTABLE"; + + case CUDA_ERROR_UNSUPPORTED_LIMIT: + return "CUDA_ERROR_UNSUPPORTED_LIMIT"; + + case CUDA_ERROR_CONTEXT_ALREADY_IN_USE: + return "CUDA_ERROR_CONTEXT_ALREADY_IN_USE"; + + case CUDA_ERROR_PEER_ACCESS_UNSUPPORTED: + return "CUDA_ERROR_PEER_ACCESS_UNSUPPORTED"; + + case CUDA_ERROR_INVALID_PTX: + return "CUDA_ERROR_INVALID_PTX"; + + case CUDA_ERROR_INVALID_GRAPHICS_CONTEXT: + return "CUDA_ERROR_INVALID_GRAPHICS_CONTEXT"; + + case CUDA_ERROR_NVLINK_UNCORRECTABLE: + return "CUDA_ERROR_NVLINK_UNCORRECTABLE"; + + case CUDA_ERROR_INVALID_SOURCE: + return "CUDA_ERROR_INVALID_SOURCE"; + + case CUDA_ERROR_FILE_NOT_FOUND: + return "CUDA_ERROR_FILE_NOT_FOUND"; + + case CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND: + return "CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND"; + + case CUDA_ERROR_SHARED_OBJECT_INIT_FAILED: + return "CUDA_ERROR_SHARED_OBJECT_INIT_FAILED"; + + case CUDA_ERROR_OPERATING_SYSTEM: + return "CUDA_ERROR_OPERATING_SYSTEM"; + + case CUDA_ERROR_INVALID_HANDLE: + return "CUDA_ERROR_INVALID_HANDLE"; + + case CUDA_ERROR_NOT_FOUND: + return "CUDA_ERROR_NOT_FOUND"; + + case CUDA_ERROR_NOT_READY: + return "CUDA_ERROR_NOT_READY"; + + case CUDA_ERROR_ILLEGAL_ADDRESS: + return "CUDA_ERROR_ILLEGAL_ADDRESS"; + + case CUDA_ERROR_LAUNCH_FAILED: + return "CUDA_ERROR_LAUNCH_FAILED"; + + case CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES: + return "CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES"; + + case CUDA_ERROR_LAUNCH_TIMEOUT: + return "CUDA_ERROR_LAUNCH_TIMEOUT"; + + case CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING: + return "CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING"; + + case CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED: + return "CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED"; + + case CUDA_ERROR_PEER_ACCESS_NOT_ENABLED: + return "CUDA_ERROR_PEER_ACCESS_NOT_ENABLED"; + + case CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE: + return "CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE"; + + case CUDA_ERROR_CONTEXT_IS_DESTROYED: + return "CUDA_ERROR_CONTEXT_IS_DESTROYED"; + + case CUDA_ERROR_ASSERT: + return "CUDA_ERROR_ASSERT"; + + case CUDA_ERROR_TOO_MANY_PEERS: + return "CUDA_ERROR_TOO_MANY_PEERS"; + + case CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED: + return "CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED"; + + case CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED: + return "CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED"; + + case CUDA_ERROR_HARDWARE_STACK_ERROR: + return "CUDA_ERROR_HARDWARE_STACK_ERROR"; + + case CUDA_ERROR_ILLEGAL_INSTRUCTION: + return "CUDA_ERROR_ILLEGAL_INSTRUCTION"; + + case CUDA_ERROR_MISALIGNED_ADDRESS: + return "CUDA_ERROR_MISALIGNED_ADDRESS"; + + case CUDA_ERROR_INVALID_ADDRESS_SPACE: + return "CUDA_ERROR_INVALID_ADDRESS_SPACE"; + + case CUDA_ERROR_INVALID_PC: + return "CUDA_ERROR_INVALID_PC"; + + case CUDA_ERROR_NOT_PERMITTED: + return "CUDA_ERROR_NOT_PERMITTED"; + + case CUDA_ERROR_NOT_SUPPORTED: + return "CUDA_ERROR_NOT_SUPPORTED"; + + case CUDA_ERROR_UNKNOWN: + return "CUDA_ERROR_UNKNOWN"; + } + + return "<unknown>"; +} +#endif + +#ifdef CUBLAS_API_H_ +// cuBLAS API errors +static const char *_cudaGetErrorEnum(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>"; +} +#endif + +#ifdef _CUFFT_H_ +// cuFFT API errors +static const char *_cudaGetErrorEnum(cufftResult error) +{ + switch (error) + { + case CUFFT_SUCCESS: + return "CUFFT_SUCCESS"; + + case CUFFT_INVALID_PLAN: + return "CUFFT_INVALID_PLAN"; + + case CUFFT_ALLOC_FAILED: + return "CUFFT_ALLOC_FAILED"; + + case CUFFT_INVALID_TYPE: + return "CUFFT_INVALID_TYPE"; + + case CUFFT_INVALID_VALUE: + return "CUFFT_INVALID_VALUE"; + + case CUFFT_INTERNAL_ERROR: + return "CUFFT_INTERNAL_ERROR"; + + case CUFFT_EXEC_FAILED: + return "CUFFT_EXEC_FAILED"; + + case CUFFT_SETUP_FAILED: + return "CUFFT_SETUP_FAILED"; + + case CUFFT_INVALID_SIZE: + return "CUFFT_INVALID_SIZE"; + + case CUFFT_UNALIGNED_DATA: + return "CUFFT_UNALIGNED_DATA"; + + case CUFFT_INCOMPLETE_PARAMETER_LIST: + return "CUFFT_INCOMPLETE_PARAMETER_LIST"; + + case CUFFT_INVALID_DEVICE: + return "CUFFT_INVALID_DEVICE"; + + case CUFFT_PARSE_ERROR: + return "CUFFT_PARSE_ERROR"; + + case CUFFT_NO_WORKSPACE: + return "CUFFT_NO_WORKSPACE"; + + case CUFFT_NOT_IMPLEMENTED: + return "CUFFT_NOT_IMPLEMENTED"; + + case CUFFT_LICENSE_ERROR: + return "CUFFT_LICENSE_ERROR"; + + case CUFFT_NOT_SUPPORTED: + return "CUFFT_NOT_SUPPORTED"; + } + + return "<unknown>"; +} +#endif + + +#ifdef CUSPARSEAPI +// cuSPARSE API errors +static const char *_cudaGetErrorEnum(cusparseStatus_t error) +{ + switch (error) + { + case CUSPARSE_STATUS_SUCCESS: + return "CUSPARSE_STATUS_SUCCESS"; + + case CUSPARSE_STATUS_NOT_INITIALIZED: + return "CUSPARSE_STATUS_NOT_INITIALIZED"; + + case CUSPARSE_STATUS_ALLOC_FAILED: + return "CUSPARSE_STATUS_ALLOC_FAILED"; + + case CUSPARSE_STATUS_INVALID_VALUE: + return "CUSPARSE_STATUS_INVALID_VALUE"; + + case CUSPARSE_STATUS_ARCH_MISMATCH: + return "CUSPARSE_STATUS_ARCH_MISMATCH"; + + case CUSPARSE_STATUS_MAPPING_ERROR: + return "CUSPARSE_STATUS_MAPPING_ERROR"; + + case CUSPARSE_STATUS_EXECUTION_FAILED: + return "CUSPARSE_STATUS_EXECUTION_FAILED"; + + case CUSPARSE_STATUS_INTERNAL_ERROR: + return "CUSPARSE_STATUS_INTERNAL_ERROR"; + + case CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED: + return "CUSPARSE_STATUS_MATRIX_TYPE_NOT_SUPPORTED"; + } + + return "<unknown>"; +} +#endif + +#ifdef CUSOLVER_COMMON_H_ +//cuSOLVER API errors +static const char *_cudaGetErrorEnum(cusolverStatus_t error) +{ + switch(error) + { + case CUSOLVER_STATUS_SUCCESS: + return "CUSOLVER_STATUS_SUCCESS"; + case CUSOLVER_STATUS_NOT_INITIALIZED: + return "CUSOLVER_STATUS_NOT_INITIALIZED"; + case CUSOLVER_STATUS_ALLOC_FAILED: + return "CUSOLVER_STATUS_ALLOC_FAILED"; + case CUSOLVER_STATUS_INVALID_VALUE: + return "CUSOLVER_STATUS_INVALID_VALUE"; + case CUSOLVER_STATUS_ARCH_MISMATCH: + return "CUSOLVER_STATUS_ARCH_MISMATCH"; + case CUSOLVER_STATUS_MAPPING_ERROR: + return "CUSOLVER_STATUS_MAPPING_ERROR"; + case CUSOLVER_STATUS_EXECUTION_FAILED: + return "CUSOLVER_STATUS_EXECUTION_FAILED"; + case CUSOLVER_STATUS_INTERNAL_ERROR: + return "CUSOLVER_STATUS_INTERNAL_ERROR"; + case CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED: + return "CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED"; + case CUSOLVER_STATUS_NOT_SUPPORTED : + return "CUSOLVER_STATUS_NOT_SUPPORTED "; + case CUSOLVER_STATUS_ZERO_PIVOT: + return "CUSOLVER_STATUS_ZERO_PIVOT"; + case CUSOLVER_STATUS_INVALID_LICENSE: + return "CUSOLVER_STATUS_INVALID_LICENSE"; + } + + return "<unknown>"; + +} +#endif + +#ifdef CURAND_H_ +// cuRAND API errors +static const char *_cudaGetErrorEnum(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>"; +} +#endif + +#ifdef NV_NPPIDEFS_H +// NPP API errors +static const char *_cudaGetErrorEnum(NppStatus error) +{ + switch (error) + { + case NPP_NOT_SUPPORTED_MODE_ERROR: + return "NPP_NOT_SUPPORTED_MODE_ERROR"; + + case NPP_ROUND_MODE_NOT_SUPPORTED_ERROR: + return "NPP_ROUND_MODE_NOT_SUPPORTED_ERROR"; + + case NPP_RESIZE_NO_OPERATION_ERROR: + return "NPP_RESIZE_NO_OPERATION_ERROR"; + + case NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY: + return "NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY"; + +#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) <= 0x5000 + + case NPP_BAD_ARG_ERROR: + return "NPP_BAD_ARGUMENT_ERROR"; + + case NPP_COEFF_ERROR: + return "NPP_COEFFICIENT_ERROR"; + + case NPP_RECT_ERROR: + return "NPP_RECTANGLE_ERROR"; + + case NPP_QUAD_ERROR: + return "NPP_QUADRANGLE_ERROR"; + + case NPP_MEM_ALLOC_ERR: + return "NPP_MEMORY_ALLOCATION_ERROR"; + + case NPP_HISTO_NUMBER_OF_LEVELS_ERROR: + return "NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR"; + + case NPP_INVALID_INPUT: + return "NPP_INVALID_INPUT"; + + case NPP_POINTER_ERROR: + return "NPP_POINTER_ERROR"; + + case NPP_WARNING: + return "NPP_WARNING"; + + case NPP_ODD_ROI_WARNING: + return "NPP_ODD_ROI_WARNING"; +#else + + // These are for CUDA 5.5 or higher + case NPP_BAD_ARGUMENT_ERROR: + return "NPP_BAD_ARGUMENT_ERROR"; + + case NPP_COEFFICIENT_ERROR: + return "NPP_COEFFICIENT_ERROR"; + + case NPP_RECTANGLE_ERROR: + return "NPP_RECTANGLE_ERROR"; + + case NPP_QUADRANGLE_ERROR: + return "NPP_QUADRANGLE_ERROR"; + + case NPP_MEMORY_ALLOCATION_ERR: + return "NPP_MEMORY_ALLOCATION_ERROR"; + + case NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR: + return "NPP_HISTOGRAM_NUMBER_OF_LEVELS_ERROR"; + + case NPP_INVALID_HOST_POINTER_ERROR: + return "NPP_INVALID_HOST_POINTER_ERROR"; + + case NPP_INVALID_DEVICE_POINTER_ERROR: + return "NPP_INVALID_DEVICE_POINTER_ERROR"; +#endif + + case NPP_LUT_NUMBER_OF_LEVELS_ERROR: + return "NPP_LUT_NUMBER_OF_LEVELS_ERROR"; + + case NPP_TEXTURE_BIND_ERROR: + return "NPP_TEXTURE_BIND_ERROR"; + + case NPP_WRONG_INTERSECTION_ROI_ERROR: + return "NPP_WRONG_INTERSECTION_ROI_ERROR"; + + case NPP_NOT_EVEN_STEP_ERROR: + return "NPP_NOT_EVEN_STEP_ERROR"; + + case NPP_INTERPOLATION_ERROR: + return "NPP_INTERPOLATION_ERROR"; + + case NPP_RESIZE_FACTOR_ERROR: + return "NPP_RESIZE_FACTOR_ERROR"; + + case NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR: + return "NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR"; + + +#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) <= 0x5000 + + case NPP_MEMFREE_ERR: + return "NPP_MEMFREE_ERR"; + + case NPP_MEMSET_ERR: + return "NPP_MEMSET_ERR"; + + case NPP_MEMCPY_ERR: + return "NPP_MEMCPY_ERROR"; + + case NPP_MIRROR_FLIP_ERR: + return "NPP_MIRROR_FLIP_ERR"; +#else + + case NPP_MEMFREE_ERROR: + return "NPP_MEMFREE_ERROR"; + + case NPP_MEMSET_ERROR: + return "NPP_MEMSET_ERROR"; + + case NPP_MEMCPY_ERROR: + return "NPP_MEMCPY_ERROR"; + + case NPP_MIRROR_FLIP_ERROR: + return "NPP_MIRROR_FLIP_ERROR"; +#endif + + case NPP_ALIGNMENT_ERROR: + return "NPP_ALIGNMENT_ERROR"; + + case NPP_STEP_ERROR: + return "NPP_STEP_ERROR"; + + case NPP_SIZE_ERROR: + return "NPP_SIZE_ERROR"; + + case NPP_NULL_POINTER_ERROR: + return "NPP_NULL_POINTER_ERROR"; + + case NPP_CUDA_KERNEL_EXECUTION_ERROR: + return "NPP_CUDA_KERNEL_EXECUTION_ERROR"; + + case NPP_NOT_IMPLEMENTED_ERROR: + return "NPP_NOT_IMPLEMENTED_ERROR"; + + case NPP_ERROR: + return "NPP_ERROR"; + + case NPP_SUCCESS: + return "NPP_SUCCESS"; + + case NPP_WRONG_INTERSECTION_QUAD_WARNING: + return "NPP_WRONG_INTERSECTION_QUAD_WARNING"; + + case NPP_MISALIGNED_DST_ROI_WARNING: + return "NPP_MISALIGNED_DST_ROI_WARNING"; + + case NPP_AFFINE_QUAD_INCORRECT_WARNING: + return "NPP_AFFINE_QUAD_INCORRECT_WARNING"; + + case NPP_DOUBLE_SIZE_WARNING: + return "NPP_DOUBLE_SIZE_WARNING"; + + case NPP_WRONG_INTERSECTION_ROI_WARNING: + return "NPP_WRONG_INTERSECTION_ROI_WARNING"; + +#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) >= 0x6000 + /* These are 6.0 or higher */ + case NPP_LUT_PALETTE_BITSIZE_ERROR: + return "NPP_LUT_PALETTE_BITSIZE_ERROR"; + + case NPP_ZC_MODE_NOT_SUPPORTED_ERROR: + return "NPP_ZC_MODE_NOT_SUPPORTED_ERROR"; + + case NPP_QUALITY_INDEX_ERROR: + return "NPP_QUALITY_INDEX_ERROR"; + + case NPP_CHANNEL_ORDER_ERROR: + return "NPP_CHANNEL_ORDER_ERROR"; + + case NPP_ZERO_MASK_VALUE_ERROR: + return "NPP_ZERO_MASK_VALUE_ERROR"; + + case NPP_NUMBER_OF_CHANNELS_ERROR: + return "NPP_NUMBER_OF_CHANNELS_ERROR"; + + case NPP_COI_ERROR: + return "NPP_COI_ERROR"; + + case NPP_DIVISOR_ERROR: + return "NPP_DIVISOR_ERROR"; + + case NPP_CHANNEL_ERROR: + return "NPP_CHANNEL_ERROR"; + + case NPP_STRIDE_ERROR: + return "NPP_STRIDE_ERROR"; + + case NPP_ANCHOR_ERROR: + return "NPP_ANCHOR_ERROR"; + + case NPP_MASK_SIZE_ERROR: + return "NPP_MASK_SIZE_ERROR"; + + case NPP_MOMENT_00_ZERO_ERROR: + return "NPP_MOMENT_00_ZERO_ERROR"; + + case NPP_THRESHOLD_NEGATIVE_LEVEL_ERROR: + return "NPP_THRESHOLD_NEGATIVE_LEVEL_ERROR"; + + case NPP_THRESHOLD_ERROR: + return "NPP_THRESHOLD_ERROR"; + + case NPP_CONTEXT_MATCH_ERROR: + return "NPP_CONTEXT_MATCH_ERROR"; + + case NPP_FFT_FLAG_ERROR: + return "NPP_FFT_FLAG_ERROR"; + + case NPP_FFT_ORDER_ERROR: + return "NPP_FFT_ORDER_ERROR"; + + case NPP_SCALE_RANGE_ERROR: + return "NPP_SCALE_RANGE_ERROR"; + + case NPP_DATA_TYPE_ERROR: + return "NPP_DATA_TYPE_ERROR"; + + case NPP_OUT_OFF_RANGE_ERROR: + return "NPP_OUT_OFF_RANGE_ERROR"; + + case NPP_DIVIDE_BY_ZERO_ERROR: + return "NPP_DIVIDE_BY_ZERO_ERROR"; + + case NPP_RANGE_ERROR: + return "NPP_RANGE_ERROR"; + + case NPP_NO_MEMORY_ERROR: + return "NPP_NO_MEMORY_ERROR"; + + case NPP_ERROR_RESERVED: + return "NPP_ERROR_RESERVED"; + + case NPP_NO_OPERATION_WARNING: + return "NPP_NO_OPERATION_WARNING"; + + case NPP_DIVIDE_BY_ZERO_WARNING: + return "NPP_DIVIDE_BY_ZERO_WARNING"; +#endif + +#if ((NPP_VERSION_MAJOR << 12) + (NPP_VERSION_MINOR << 4)) >= 0x7000 + /* These are 7.0 or higher */ + case NPP_OVERFLOW_ERROR: + return "NPP_OVERFLOW_ERROR"; + + case NPP_CORRUPTED_DATA_ERROR: + return "NPP_CORRUPTED_DATA_ERROR"; +#endif + } + + return "<unknown>"; +} +#endif + +#ifdef __DRIVER_TYPES_H__ +#ifndef DEVICE_RESET +#define DEVICE_RESET cudaDeviceReset(); +#endif +#else +#ifndef DEVICE_RESET +#define DEVICE_RESET +#endif +#endif + +template< typename T > +void check(T result, char const *const func, const char *const file, int const line) +{ + if (result) + { + fprintf(stderr, "CUDA error at %s:%d code=%d(%s) \"%s\" \n", + file, line, static_cast<unsigned int>(result), _cudaGetErrorEnum(result), func); + DEVICE_RESET + // Make sure we call CUDA Device Reset before exiting + exit(EXIT_FAILURE); + } +} + +#ifdef __DRIVER_TYPES_H__ +// This will output the proper CUDA error strings in the event that a CUDA host call returns an error +#define checkCudaErrors(val) check ( (val), #val, __FILE__, __LINE__ ) + +// This will output the proper error string when calling cudaGetLastError +#define getLastCudaError(msg) __getLastCudaError (msg, __FILE__, __LINE__) + +inline void __getLastCudaError(const char *errorMessage, const char *file, const int line) +{ + cudaError_t err = cudaGetLastError(); + + if (cudaSuccess != err) + { + fprintf(stderr, "%s(%i) : getLastCudaError() CUDA error : %s : (%d) %s.\n", + file, line, errorMessage, (int)err, cudaGetErrorString(err)); + DEVICE_RESET + exit(EXIT_FAILURE); + } +} +#endif + +#ifndef MAX +#define MAX(a,b) (a > b ? a : b) +#endif + +// Float To Int conversion +inline int ftoi(float value) +{ + return (value >= 0 ? (int)(value + 0.5) : (int)(value - 0.5)); +} + +// Beginning of GPU Architecture definitions +inline int _ConvertSMVer2Cores(int major, int minor) +{ + // Defines for GPU Architecture types (using the SM version to determine the # of cores per SM + typedef struct + { + int SM; // 0xMm (hexidecimal notation), M = SM Major version, and m = SM minor version + int Cores; + } sSMtoCores; + + sSMtoCores nGpuArchCoresPerSM[] = + { + { 0x20, 32 }, // Fermi Generation (SM 2.0) GF100 class + { 0x21, 48 }, // Fermi Generation (SM 2.1) GF10x class + { 0x30, 192}, // Kepler Generation (SM 3.0) GK10x class + { 0x32, 192}, // Kepler Generation (SM 3.2) GK10x class + { 0x35, 192}, // Kepler Generation (SM 3.5) GK11x class + { 0x37, 192}, // Kepler Generation (SM 3.7) GK21x class + { 0x50, 128}, // Maxwell Generation (SM 5.0) GM10x class + { 0x52, 128}, // Maxwell Generation (SM 5.2) GM20x class + { 0x53, 128}, // Maxwell Generation (SM 5.3) GM20x class + { 0x60, 64 }, // Pascal Generation (SM 6.0) GP100 class + { 0x61, 128}, // Pascal Generation (SM 6.1) GP10x class + { 0x62, 128}, // Pascal Generation (SM 6.2) GP10x class + { -1, -1 } + }; + + int index = 0; + + while (nGpuArchCoresPerSM[index].SM != -1) + { + if (nGpuArchCoresPerSM[index].SM == ((major << 4) + minor)) + { + return nGpuArchCoresPerSM[index].Cores; + } + + index++; + } + + // If we don't find the values, we default use the previous one to run properly + printf("MapSMtoCores for SM %d.%d is undefined. Default to use %d Cores/SM\n", major, minor, nGpuArchCoresPerSM[index-1].Cores); + return nGpuArchCoresPerSM[index-1].Cores; +} +// end of GPU Architecture definitions + +#ifdef __CUDA_RUNTIME_H__ +// General GPU Device CUDA Initialization +inline int gpuDeviceInit(int devID) +{ + int device_count; + checkCudaErrors(cudaGetDeviceCount(&device_count)); + + if (device_count == 0) + { + fprintf(stderr, "gpuDeviceInit() CUDA error: no devices supporting CUDA.\n"); + exit(EXIT_FAILURE); + } + + if (devID < 0) + { + devID = 0; + } + + if (devID > device_count-1) + { + fprintf(stderr, "\n"); + fprintf(stderr, ">> %d CUDA capable GPU device(s) detected. <<\n", device_count); + fprintf(stderr, ">> gpuDeviceInit (-device=%d) is not a valid GPU device. <<\n", devID); + fprintf(stderr, "\n"); + return -devID; + } + + cudaDeviceProp deviceProp; + checkCudaErrors(cudaGetDeviceProperties(&deviceProp, devID)); + + if (deviceProp.computeMode == cudaComputeModeProhibited) + { + fprintf(stderr, "Error: device is running in <Compute Mode Prohibited>, no threads can use ::cudaSetDevice().\n"); + return -1; + } + + if (deviceProp.major < 1) + { + fprintf(stderr, "gpuDeviceInit(): GPU device does not support CUDA.\n"); + exit(EXIT_FAILURE); + } + + checkCudaErrors(cudaSetDevice(devID)); + printf("gpuDeviceInit() CUDA Device [%d]: \"%s\n", devID, deviceProp.name); + + return devID; +} + +// This function returns the best GPU (with maximum GFLOPS) +inline int gpuGetMaxGflopsDeviceId() +{ + int current_device = 0, sm_per_multiproc = 0; + int max_perf_device = 0; + int device_count = 0, best_SM_arch = 0; + int devices_prohibited = 0; + + unsigned long long max_compute_perf = 0; + cudaDeviceProp deviceProp; + cudaGetDeviceCount(&device_count); + + checkCudaErrors(cudaGetDeviceCount(&device_count)); + + if (device_count == 0) + { + fprintf(stderr, "gpuGetMaxGflopsDeviceId() CUDA error: no devices supporting CUDA.\n"); + exit(EXIT_FAILURE); + } + + // Find the best major SM Architecture GPU device + while (current_device < device_count) + { + cudaGetDeviceProperties(&deviceProp, current_device); + + // If this GPU is not running on Compute Mode prohibited, then we can add it to the list + if (deviceProp.computeMode != cudaComputeModeProhibited) + { + if (deviceProp.major > 0 && deviceProp.major < 9999) + { + best_SM_arch = MAX(best_SM_arch, deviceProp.major); + } + } + else + { + devices_prohibited++; + } + + current_device++; + } + + if (devices_prohibited == device_count) + { + fprintf(stderr, "gpuGetMaxGflopsDeviceId() CUDA error: all devices have compute mode prohibited.\n"); + exit(EXIT_FAILURE); + } + + // Find the best CUDA capable GPU device + current_device = 0; + + while (current_device < device_count) + { + cudaGetDeviceProperties(&deviceProp, current_device); + + // If this GPU is not running on Compute Mode prohibited, then we can add it to the list + if (deviceProp.computeMode != cudaComputeModeProhibited) + { + if (deviceProp.major == 9999 && deviceProp.minor == 9999) + { + sm_per_multiproc = 1; + } + else + { + sm_per_multiproc = _ConvertSMVer2Cores(deviceProp.major, deviceProp.minor); + } + + unsigned long long compute_perf = (unsigned long long) deviceProp.multiProcessorCount * sm_per_multiproc * deviceProp.clockRate; + + if (compute_perf > max_compute_perf) + { + // If we find GPU with SM major > 2, search only these + if (best_SM_arch > 2) + { + // If our device==dest_SM_arch, choose this, or else pass + if (deviceProp.major == best_SM_arch) + { + max_compute_perf = compute_perf; + max_perf_device = current_device; + } + } + else + { + max_compute_perf = compute_perf; + max_perf_device = current_device; + } + } + } + + ++current_device; + } + + return max_perf_device; +} + + +// Initialization code to find the best CUDA Device +inline int findCudaDevice(int argc, const char **argv) +{ + cudaDeviceProp deviceProp; + int devID = 0; + + // If the command-line has a device number specified, use it + if (checkCmdLineFlag(argc, argv, "device")) + { + devID = getCmdLineArgumentInt(argc, argv, "device="); + + if (devID < 0) + { + printf("Invalid command line parameter\n "); + exit(EXIT_FAILURE); + } + else + { + devID = gpuDeviceInit(devID); + + if (devID < 0) + { + printf("exiting...\n"); + exit(EXIT_FAILURE); + } + } + } + else + { + // Otherwise pick the device with highest Gflops/s + devID = gpuGetMaxGflopsDeviceId(); + checkCudaErrors(cudaSetDevice(devID)); + checkCudaErrors(cudaGetDeviceProperties(&deviceProp, devID)); + printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n", devID, deviceProp.name, deviceProp.major, deviceProp.minor); + } + + return devID; +} + +// General check for CUDA GPU SM Capabilities +inline bool checkCudaCapabilities(int major_version, int minor_version) +{ + cudaDeviceProp deviceProp; + deviceProp.major = 0; + deviceProp.minor = 0; + int dev; + + checkCudaErrors(cudaGetDevice(&dev)); + checkCudaErrors(cudaGetDeviceProperties(&deviceProp, dev)); + + if ((deviceProp.major > major_version) || + (deviceProp.major == major_version && deviceProp.minor >= minor_version)) + { + printf(" Device %d: <%16s >, Compute SM %d.%d detected\n", dev, deviceProp.name, deviceProp.major, deviceProp.minor); + return true; + } + else + { + printf(" No GPU device was found that can support CUDA compute capability %d.%d.\n", major_version, minor_version); + return false; + } +} +#endif + +// end of CUDA Helper Functions + + +#endif |