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- /* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- * * Redistributions of source code must retain the above copyright
- * notice, this list of conditions and the following disclaimer.
- * * Redistributions in binary form must reproduce the above copyright
- * notice, this list of conditions and the following disclaimer in the
- * documentation and/or other materials provided with the distribution.
- * * Neither the name of NVIDIA CORPORATION nor the names of its
- * contributors may be used to endorse or promote products derived
- * from this software without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
- * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
- * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
- * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
- * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
- * PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
- * OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- */
- ////////////////////////////////////////////////////////////////////////////////
- // These are CUDA Helper functions for initialization and error checking
- #ifndef COMMON_HELPER_CUDA_H_
- #define COMMON_HELPER_CUDA_H_
- #pragma once
- #include <stdint.h>
- #include <stdio.h>
- #include <stdlib.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) {
- return cudaGetErrorName(error);
- }
- #endif
- #ifdef CUDA_DRIVER_API
- // CUDA Driver API errors
- static const char *_cudaGetErrorEnum(CUresult error) {
- static char unknown[] = "<unknown>";
- const char *ret = NULL;
- cuGetErrorName(error, &ret);
- return ret ? ret : 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 NVJPEGAPI
- // nvJPEG API errors
- static const char *_cudaGetErrorEnum(nvjpegStatus_t error) {
- switch (error) {
- case NVJPEG_STATUS_SUCCESS:
- return "NVJPEG_STATUS_SUCCESS";
- case NVJPEG_STATUS_NOT_INITIALIZED:
- return "NVJPEG_STATUS_NOT_INITIALIZED";
- case NVJPEG_STATUS_INVALID_PARAMETER:
- return "NVJPEG_STATUS_INVALID_PARAMETER";
- case NVJPEG_STATUS_BAD_JPEG:
- return "NVJPEG_STATUS_BAD_JPEG";
- case NVJPEG_STATUS_JPEG_NOT_SUPPORTED:
- return "NVJPEG_STATUS_JPEG_NOT_SUPPORTED";
- case NVJPEG_STATUS_ALLOCATOR_FAILURE:
- return "NVJPEG_STATUS_ALLOCATOR_FAILURE";
- case NVJPEG_STATUS_EXECUTION_FAILED:
- return "NVJPEG_STATUS_EXECUTION_FAILED";
- case NVJPEG_STATUS_ARCH_MISMATCH:
- return "NVJPEG_STATUS_ARCH_MISMATCH";
- case NVJPEG_STATUS_INTERNAL_ERROR:
- return "NVJPEG_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
- 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);
- 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, static_cast<int>(err),
- cudaGetErrorString(err));
- exit(EXIT_FAILURE);
- }
- }
- // This will only print the proper error string when calling cudaGetLastError
- // but not exit program incase error detected.
- #define printLastCudaError(msg) __printLastCudaError(msg, __FILE__, __LINE__)
- inline void __printLastCudaError(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, static_cast<int>(err),
- cudaGetErrorString(err));
- }
- }
- #endif
- #ifndef MAX
- #define MAX(a, b) (a > b ? a : b)
- #endif
- // Float To Int conversion
- inline int ftoi(float value) {
- return (value >= 0 ? static_cast<int>(value + 0.5)
- : static_cast<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[] = {
- {0x30, 192},
- {0x32, 192},
- {0x35, 192},
- {0x37, 192},
- {0x50, 128},
- {0x52, 128},
- {0x53, 128},
- {0x60, 64},
- {0x61, 128},
- {0x62, 128},
- {0x70, 64},
- {0x72, 64},
- {0x75, 64},
- {0x80, 64},
- {0x86, 128},
- {-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;
- }
- inline const char* _ConvertSMVer2ArchName(int major, int minor) {
- // Defines for GPU Architecture types (using the SM version to determine
- // the GPU Arch name)
- typedef struct {
- int SM; // 0xMm (hexidecimal notation), M = SM Major version,
- // and m = SM minor version
- const char* name;
- } sSMtoArchName;
- sSMtoArchName nGpuArchNameSM[] = {
- {0x30, "Kepler"},
- {0x32, "Kepler"},
- {0x35, "Kepler"},
- {0x37, "Kepler"},
- {0x50, "Maxwell"},
- {0x52, "Maxwell"},
- {0x53, "Maxwell"},
- {0x60, "Pascal"},
- {0x61, "Pascal"},
- {0x62, "Pascal"},
- {0x70, "Volta"},
- {0x72, "Xavier"},
- {0x75, "Turing"},
- {0x80, "Ampere"},
- {0x86, "Ampere"},
- {-1, "Graphics Device"}};
- int index = 0;
- while (nGpuArchNameSM[index].SM != -1) {
- if (nGpuArchNameSM[index].SM == ((major << 4) + minor)) {
- return nGpuArchNameSM[index].name;
- }
- index++;
- }
- // If we don't find the values, we default use the previous one
- // to run properly
- printf(
- "MapSMtoArchName for SM %d.%d is undefined."
- " Default to use %s\n",
- major, minor, nGpuArchNameSM[index - 1].name);
- return nGpuArchNameSM[index - 1].name;
- }
- // 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;
- }
- int computeMode = -1, major = 0, minor = 0;
- checkCudaErrors(cudaDeviceGetAttribute(&computeMode, cudaDevAttrComputeMode, devID));
- checkCudaErrors(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, devID));
- checkCudaErrors(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, devID));
- if (computeMode == cudaComputeModeProhibited) {
- fprintf(stderr,
- "Error: device is running in <Compute Mode "
- "Prohibited>, no threads can use cudaSetDevice().\n");
- return -1;
- }
- if (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, _ConvertSMVer2ArchName(major, minor));
- 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;
- int devices_prohibited = 0;
- uint64_t max_compute_perf = 0;
- checkCudaErrors(cudaGetDeviceCount(&device_count));
- if (device_count == 0) {
- fprintf(stderr,
- "gpuGetMaxGflopsDeviceId() CUDA error:"
- " no devices supporting CUDA.\n");
- exit(EXIT_FAILURE);
- }
- // Find the best CUDA capable GPU device
- current_device = 0;
- while (current_device < device_count) {
- int computeMode = -1, major = 0, minor = 0;
- checkCudaErrors(cudaDeviceGetAttribute(&computeMode, cudaDevAttrComputeMode, current_device));
- checkCudaErrors(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, current_device));
- checkCudaErrors(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, current_device));
- // If this GPU is not running on Compute Mode prohibited,
- // then we can add it to the list
- if (computeMode != cudaComputeModeProhibited) {
- if (major == 9999 && minor == 9999) {
- sm_per_multiproc = 1;
- } else {
- sm_per_multiproc =
- _ConvertSMVer2Cores(major, minor);
- }
- int multiProcessorCount = 0, clockRate = 0;
- checkCudaErrors(cudaDeviceGetAttribute(&multiProcessorCount, cudaDevAttrMultiProcessorCount, current_device));
- cudaError_t result = cudaDeviceGetAttribute(&clockRate, cudaDevAttrClockRate, current_device);
- if (result != cudaSuccess) {
- // If cudaDevAttrClockRate attribute is not supported we
- // set clockRate as 1, to consider GPU with most SMs and CUDA Cores.
- if(result == cudaErrorInvalidValue) {
- clockRate = 1;
- }
- else {
- fprintf(stderr, "CUDA error at %s:%d code=%d(%s) \n", __FILE__, __LINE__,
- static_cast<unsigned int>(result), _cudaGetErrorEnum(result));
- exit(EXIT_FAILURE);
- }
- }
- uint64_t compute_perf = (uint64_t)multiProcessorCount * sm_per_multiproc * clockRate;
- if (compute_perf > max_compute_perf) {
- max_compute_perf = compute_perf;
- max_perf_device = current_device;
- }
- } 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);
- }
- return max_perf_device;
- }
- // Initialization code to find the best CUDA Device
- inline int findCudaDevice(int argc, const char **argv) {
- 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));
- int major = 0, minor = 0;
- checkCudaErrors(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, devID));
- checkCudaErrors(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, devID));
- printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n",
- devID, _ConvertSMVer2ArchName(major, minor), major, minor);
- }
- return devID;
- }
- inline int findIntegratedGPU() {
- int current_device = 0;
- int device_count = 0;
- int devices_prohibited = 0;
- checkCudaErrors(cudaGetDeviceCount(&device_count));
- if (device_count == 0) {
- fprintf(stderr, "CUDA error: no devices supporting CUDA.\n");
- exit(EXIT_FAILURE);
- }
- // Find the integrated GPU which is compute capable
- while (current_device < device_count) {
- int computeMode = -1, integrated = -1;
- checkCudaErrors(cudaDeviceGetAttribute(&computeMode, cudaDevAttrComputeMode, current_device));
- checkCudaErrors(cudaDeviceGetAttribute(&integrated, cudaDevAttrIntegrated, current_device));
- // If GPU is integrated and is not running on Compute Mode prohibited,
- // then cuda can map to GLES resource
- if (integrated && (computeMode != cudaComputeModeProhibited)) {
- checkCudaErrors(cudaSetDevice(current_device));
- int major = 0, minor = 0;
- checkCudaErrors(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, current_device));
- checkCudaErrors(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, current_device));
- printf("GPU Device %d: \"%s\" with compute capability %d.%d\n\n",
- current_device, _ConvertSMVer2ArchName(major, minor), major, minor);
- return current_device;
- } else {
- devices_prohibited++;
- }
- current_device++;
- }
- if (devices_prohibited == device_count) {
- fprintf(stderr,
- "CUDA error:"
- " No GLES-CUDA Interop capable GPU found.\n");
- exit(EXIT_FAILURE);
- }
- return -1;
- }
- // General check for CUDA GPU SM Capabilities
- inline bool checkCudaCapabilities(int major_version, int minor_version) {
- int dev;
- int major = 0, minor = 0;
- checkCudaErrors(cudaGetDevice(&dev));
- checkCudaErrors(cudaDeviceGetAttribute(&major, cudaDevAttrComputeCapabilityMajor, dev));
- checkCudaErrors(cudaDeviceGetAttribute(&minor, cudaDevAttrComputeCapabilityMinor, dev));
- if ((major > major_version) ||
- (major == major_version &&
- minor >= minor_version)) {
- printf(" Device %d: <%16s >, Compute SM %d.%d detected\n", dev,
- _ConvertSMVer2ArchName(major, minor), major, 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 // COMMON_HELPER_CUDA_H_
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