+++ /dev/null
-/*
- * Copyright 1993-2014 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.
- *
- */
-
-#ifndef _DRVAPI_ERROR_STRING_H_
-#define _DRVAPI_ERROR_STRING_H_
-
-#include <stdio.h>
-#include <string.h>
-#include <stdlib.h>
-
-#ifdef __cuda_cuda_h__ // check to see if CUDA_H is included above
-
-// Error Code string definitions here
-typedef struct
-{
- char const *error_string;
- int error_id;
-} s_CudaErrorStr;
-
-/**
- * Error codes
- */
-static s_CudaErrorStr sCudaDrvErrorString[] =
-{
- /**
- * The API call returned with no errors. In the case of query calls, this
- * can also mean that the operation being queried is complete (see
- * ::cuEventQuery() and ::cuStreamQuery()).
- */
- { "CUDA_SUCCESS", 0 },
-
- /**
- * This indicates that one or more of the parameters passed to the API call
- * is not within an acceptable range of values.
- */
- { "CUDA_ERROR_INVALID_VALUE", 1 },
-
- /**
- * The API call failed because it was unable to allocate enough memory to
- * perform the requested operation.
- */
- { "CUDA_ERROR_OUT_OF_MEMORY", 2 },
-
- /**
- * This indicates that the CUDA driver has not been initialized with
- * ::cuInit() or that initialization has failed.
- */
- { "CUDA_ERROR_NOT_INITIALIZED", 3 },
-
- /**
- * This indicates that the CUDA driver is in the process of shutting down.
- */
- { "CUDA_ERROR_DEINITIALIZED", 4 },
-
- /**
- * This indicates profiling APIs are called while application is running
- * in visual profiler mode.
- */
- { "CUDA_ERROR_PROFILER_DISABLED", 5 },
- /**
- * This indicates profiling has not been initialized for this context.
- * Call cuProfilerInitialize() to resolve this.
- */
- { "CUDA_ERROR_PROFILER_NOT_INITIALIZED", 6 },
- /**
- * This indicates profiler has already been started and probably
- * cuProfilerStart() is incorrectly called.
- */
- { "CUDA_ERROR_PROFILER_ALREADY_STARTED", 7 },
- /**
- * This indicates profiler has already been stopped and probably
- * cuProfilerStop() is incorrectly called.
- */
- { "CUDA_ERROR_PROFILER_ALREADY_STOPPED", 8 },
- /**
- * This indicates that no CUDA-capable devices were detected by the installed
- * CUDA driver.
- */
- { "CUDA_ERROR_NO_DEVICE (no CUDA-capable devices were detected)", 100 },
-
- /**
- * This indicates that the device ordinal supplied by the user does not
- * correspond to a valid CUDA device.
- */
- { "CUDA_ERROR_INVALID_DEVICE (device specified is not a valid CUDA device)", 101 },
-
-
- /**
- * This indicates that the device kernel image is invalid. This can also
- * indicate an invalid CUDA module.
- */
- { "CUDA_ERROR_INVALID_IMAGE", 200 },
-
- /**
- * This most frequently indicates that there is no context bound to the
- * current thread. This can also be returned if the context passed to an
- * API call is not a valid handle (such as a context that has had
- * ::cuCtxDestroy() invoked on it). This can also be returned if a user
- * mixes different API versions (i.e. 3010 context with 3020 API calls).
- * See ::cuCtxGetApiVersion() for more details.
- */
- { "CUDA_ERROR_INVALID_CONTEXT", 201 },
-
- /**
- * This indicated that the context being supplied as a parameter to the
- * API call was already the active context.
- * \deprecated
- * This error return is deprecated as of CUDA 3.2. It is no longer an
- * error to attempt to push the active context via ::cuCtxPushCurrent().
- */
- { "CUDA_ERROR_CONTEXT_ALREADY_CURRENT", 202 },
-
- /**
- * This indicates that a map or register operation has failed.
- */
- { "CUDA_ERROR_MAP_FAILED", 205 },
-
- /**
- * This indicates that an unmap or unregister operation has failed.
- */
- { "CUDA_ERROR_UNMAP_FAILED", 206 },
-
- /**
- * This indicates that the specified array is currently mapped and thus
- * cannot be destroyed.
- */
- { "CUDA_ERROR_ARRAY_IS_MAPPED", 207 },
-
- /**
- * This indicates that the resource is already mapped.
- */
- { "CUDA_ERROR_ALREADY_MAPPED", 208 },
-
- /**
- * This indicates that there is no kernel image available that is suitable
- * for the device. This can occur when a user specifies code generation
- * options for a particular CUDA source file that do not include the
- * corresponding device configuration.
- */
- { "CUDA_ERROR_NO_BINARY_FOR_GPU", 209 },
-
- /**
- * This indicates that a resource has already been acquired.
- */
- { "CUDA_ERROR_ALREADY_ACQUIRED", 210 },
-
- /**
- * This indicates that a resource is not mapped.
- */
- { "CUDA_ERROR_NOT_MAPPED", 211 },
-
- /**
- * This indicates that a mapped resource is not available for access as an
- * array.
- */
- { "CUDA_ERROR_NOT_MAPPED_AS_ARRAY", 212 },
-
- /**
- * This indicates that a mapped resource is not available for access as a
- * pointer.
- */
- { "CUDA_ERROR_NOT_MAPPED_AS_POINTER", 213 },
-
- /**
- * This indicates that an uncorrectable ECC error was detected during
- * execution.
- */
- { "CUDA_ERROR_ECC_UNCORRECTABLE", 214 },
-
- /**
- * This indicates that the ::CUlimit passed to the API call is not
- * supported by the active device.
- */
- { "CUDA_ERROR_UNSUPPORTED_LIMIT", 215 },
-
- /**
- * This indicates that the ::CUcontext passed to the API call can
- * only be bound to a single CPU thread at a time but is already
- * bound to a CPU thread.
- */
- { "CUDA_ERROR_CONTEXT_ALREADY_IN_USE", 216 },
-
- /**
- * This indicates that the device kernel source is invalid.
- */
- { "CUDA_ERROR_INVALID_SOURCE", 300 },
-
- /**
- * This indicates that the file specified was not found.
- */
- { "CUDA_ERROR_FILE_NOT_FOUND", 301 },
-
- /**
- * This indicates that a link to a shared object failed to resolve.
- */
- { "CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND", 302 },
-
- /**
- * This indicates that initialization of a shared object failed.
- */
- { "CUDA_ERROR_SHARED_OBJECT_INIT_FAILED", 303 },
-
- /**
- * This indicates that an OS call failed.
- */
- { "CUDA_ERROR_OPERATING_SYSTEM", 304 },
-
-
- /**
- * This indicates that a resource handle passed to the API call was not
- * valid. Resource handles are opaque types like ::CUstream and ::CUevent.
- */
- { "CUDA_ERROR_INVALID_HANDLE", 400 },
-
-
- /**
- * This indicates that a named symbol was not found. Examples of symbols
- * are global/constant variable names, texture names }, and surface names.
- */
- { "CUDA_ERROR_NOT_FOUND", 500 },
-
-
- /**
- * This indicates that asynchronous operations issued previously have not
- * completed yet. This result is not actually an error, but must be indicated
- * differently than ::CUDA_SUCCESS (which indicates completion). Calls that
- * may return this value include ::cuEventQuery() and ::cuStreamQuery().
- */
- { "CUDA_ERROR_NOT_READY", 600 },
-
-
- /**
- * An exception occurred on the device while executing a kernel. Common
- * causes include dereferencing an invalid device pointer and accessing
- * out of bounds shared memory. The context cannot be used }, so it must
- * be destroyed (and a new one should be created). All existing device
- * memory allocations from this context are invalid and must be
- * reconstructed if the program is to continue using CUDA.
- */
- { "CUDA_ERROR_LAUNCH_FAILED", 700 },
-
- /**
- * This indicates that a launch did not occur because it did not have
- * appropriate resources. This error usually indicates that the user has
- * attempted to pass too many arguments to the device kernel, or the
- * kernel launch specifies too many threads for the kernel's register
- * count. Passing arguments of the wrong size (i.e. a 64-bit pointer
- * when a 32-bit int is expected) is equivalent to passing too many
- * arguments and can also result in this error.
- */
- { "CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES", 701 },
-
- /**
- * This indicates that the device kernel took too long to execute. This can
- * only occur if timeouts are enabled - see the device attribute
- * ::CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT for more information. The
- * context cannot be used (and must be destroyed similar to
- * ::CUDA_ERROR_LAUNCH_FAILED). All existing device memory allocations from
- * this context are invalid and must be reconstructed if the program is to
- * continue using CUDA.
- */
- { "CUDA_ERROR_LAUNCH_TIMEOUT", 702 },
-
- /**
- * This error indicates a kernel launch that uses an incompatible texturing
- * mode.
- */
- { "CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING", 703 },
-
- /**
- * This error indicates that a call to ::cuCtxEnablePeerAccess() is
- * trying to re-enable peer access to a context which has already
- * had peer access to it enabled.
- */
- { "CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED", 704 },
-
- /**
- * This error indicates that ::cuCtxDisablePeerAccess() is
- * trying to disable peer access which has not been enabled yet
- * via ::cuCtxEnablePeerAccess().
- */
- { "CUDA_ERROR_PEER_ACCESS_NOT_ENABLED", 705 },
-
- /**
- * This error indicates that the primary context for the specified device
- * has already been initialized.
- */
- { "CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE", 708 },
-
- /**
- * This error indicates that the context current to the calling thread
- * has been destroyed using ::cuCtxDestroy }, or is a primary context which
- * has not yet been initialized.
- */
- { "CUDA_ERROR_CONTEXT_IS_DESTROYED", 709 },
-
- /**
- * A device-side assert triggered during kernel execution. The context
- * cannot be used anymore, and must be destroyed. All existing device
- * memory allocations from this context are invalid and must be
- * reconstructed if the program is to continue using CUDA.
- */
- { "CUDA_ERROR_ASSERT", 710 },
-
- /**
- * This indicates that an unknown internal error has occurred.
- */
- { "CUDA_ERROR_UNKNOWN", 999 },
- { NULL, -1 }
-};
-
-// This is just a linear search through the array, since the error_id's are not
-// always ocurring consecutively
-inline const char *getCudaDrvErrorString(CUresult error_id)
-{
- int index = 0;
-
- while (sCudaDrvErrorString[index].error_id != error_id &&
- sCudaDrvErrorString[index].error_id != -1)
- {
- index++;
- }
-
- if (sCudaDrvErrorString[index].error_id == error_id)
- return (const char *)sCudaDrvErrorString[index].error_string;
- else
- return (const char *)"CUDA_ERROR not found!";
-}
-
-#endif // __cuda_cuda_h__
-
-
-#endif
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