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Reindent all sources to common coding style.

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This commit is contained in:
Dirk Nehring
2019-10-26 18:42:19 +02:00
parent 5653e31466
commit ed53dd21ca
23 changed files with 10556 additions and 10663 deletions
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149
drvapi_error_string.h
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@@ -1,3 +1,4 @@
/*
* Copyright 1993-2013 NVIDIA Corporation. All rights reserved.
*
@@ -16,88 +17,91 @@
#include <string.h>
#include <stdlib.h>
#ifdef __cuda_cuda_h__ // check to see if CUDA_H is included above
#ifdef __cuda_cuda_h__ // check to see if CUDA_H is included above
// Error Code string definitions here
typedef struct
{
char const *error_string;
unsigned int error_id;
unsigned int error_id;
} s_CudaErrorStr;
/**
* Error codes
*/
s_CudaErrorStr sCudaDrvErrorString[] =
{
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 },
{"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 },
{"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 },
{"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 },
{"CUDA_ERROR_NOT_INITIALIZED", 3},
/**
* This indicates that the CUDA driver is in the process of shutting down.
*/
{ "CUDA_ERROR_DEINITIALIZED", 4 },
{"CUDA_ERROR_DEINITIALIZED", 4},
/**
* This indicates profiling APIs are called while application is running
* in visual profiler mode.
*/
{ "CUDA_ERROR_PROFILER_DISABLED", 5 },
{"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 },
{"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 },
{"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 },
{"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 },
{"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 },
{"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 },
{"CUDA_ERROR_INVALID_IMAGE", 200},
/**
* This most frequently indicates that there is no context bound to the
@@ -107,7 +111,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* mixes different API versions (i.e. 3010 context with 3020 API calls).
* See ::cuCtxGetApiVersion() for more details.
*/
{ "CUDA_ERROR_INVALID_CONTEXT", 201 },
{"CUDA_ERROR_INVALID_CONTEXT", 201},
/**
* This indicated that the context being supplied as a parameter to the
@@ -116,28 +120,28 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* 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 },
{"CUDA_ERROR_CONTEXT_ALREADY_CURRENT", 202},
/**
* This indicates that a map or register operation has failed.
*/
{ "CUDA_ERROR_MAP_FAILED", 205 },
{"CUDA_ERROR_MAP_FAILED", 205},
/**
* This indicates that an unmap or unregister operation has failed.
*/
{ "CUDA_ERROR_UNMAP_FAILED", 206 },
{"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 },
{"CUDA_ERROR_ARRAY_IS_MAPPED", 207},
/**
* This indicates that the resource is already mapped.
*/
{ "CUDA_ERROR_ALREADY_MAPPED", 208 },
{"CUDA_ERROR_ALREADY_MAPPED", 208},
/**
* This indicates that there is no kernel image available that is suitable
@@ -145,115 +149,112 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* options for a particular CUDA source file that do not include the
* corresponding device configuration.
*/
{ "CUDA_ERROR_NO_BINARY_FOR_GPU", 209 },
{"CUDA_ERROR_NO_BINARY_FOR_GPU", 209},
/**
* This indicates that a resource has already been acquired.
*/
{ "CUDA_ERROR_ALREADY_ACQUIRED", 210 },
{"CUDA_ERROR_ALREADY_ACQUIRED", 210},
/**
* This indicates that a resource is not mapped.
*/
{ "CUDA_ERROR_NOT_MAPPED", 211 },
{"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 },
{"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 },
{"CUDA_ERROR_NOT_MAPPED_AS_POINTER", 213},
/**
* This indicates that an uncorrectable ECC error was detected during
* execution.
*/
{ "CUDA_ERROR_ECC_UNCORRECTABLE", 214 },
{"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 },
{"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 },
{"CUDA_ERROR_CONTEXT_ALREADY_IN_USE", 216},
/**
* This indicates that peer access is not supported across the given
* devices.
*/
{ "CUDA_ERROR_PEER_ACCESS_UNSUPPORTED", 217 },
{"CUDA_ERROR_PEER_ACCESS_UNSUPPORTED", 217},
/**
* This indicates that a PTX JIT compilation failed.
*/
{ "CUDA_ERROR_INVALID_PTX", 218 },
{"CUDA_ERROR_INVALID_PTX", 218},
/**
* This indicates an error with OpenGL or DirectX context.
*/
{ "CUDA_ERROR_INVALID_GRAPHICS_CONTEXT", 219 },
{"CUDA_ERROR_INVALID_GRAPHICS_CONTEXT", 219},
/**
* This indicates that an uncorrectable NVLink error was detected during the
* execution.
*/
{ "CUDA_ERROR_NVLINK_UNCORRECTABLE", 220 },
{"CUDA_ERROR_NVLINK_UNCORRECTABLE", 220},
/**
* This indicates that the PTX JIT compiler library was not found.
*/
{ "CUDA_ERROR_JIT_COMPILER_NOT_FOUND", 221 },
{"CUDA_ERROR_JIT_COMPILER_NOT_FOUND", 221},
/**
* This indicates that the device kernel source is invalid.
*/
{ "CUDA_ERROR_INVALID_SOURCE", 300 },
{"CUDA_ERROR_INVALID_SOURCE", 300},
/**
* This indicates that the file specified was not found.
*/
{ "CUDA_ERROR_FILE_NOT_FOUND", 301 },
{"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 },
{"CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND", 302},
/**
* This indicates that initialization of a shared object failed.
*/
{ "CUDA_ERROR_SHARED_OBJECT_INIT_FAILED", 303 },
{"CUDA_ERROR_SHARED_OBJECT_INIT_FAILED", 303},
/**
* This indicates that an OS call failed.
*/
{ "CUDA_ERROR_OPERATING_SYSTEM", 304 },
{"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 },
{"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 },
{"CUDA_ERROR_NOT_FOUND", 500},
/**
* This indicates that asynchronous operations issued previously have not
@@ -261,8 +262,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* differently than ::CUDA_SUCCESS (which indicates completion). Calls that
* may return this value include ::cuEventQuery() and ::cuStreamQuery().
*/
{ "CUDA_ERROR_NOT_READY", 600 },
{"CUDA_ERROR_NOT_READY", 600},
/**
* While executing a kernel, the device encountered a
@@ -271,7 +271,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_ILLEGAL_ADDRESS", 700 },
{"CUDA_ERROR_ILLEGAL_ADDRESS", 700},
/**
* This indicates that a launch did not occur because it did not have
@@ -282,7 +282,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* 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 },
{"CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES", 701},
/**
* This indicates that the device kernel took too long to execute. This can
@@ -293,40 +293,40 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* this context are invalid and must be reconstructed if the program is to
* continue using CUDA.
*/
{ "CUDA_ERROR_LAUNCH_TIMEOUT", 702 },
{"CUDA_ERROR_LAUNCH_TIMEOUT", 702},
/**
* This error indicates a kernel launch that uses an incompatible texturing
* mode.
*/
{ "CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING", 703 },
{"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 },
{"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 },
{"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 },
{"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 },
{"CUDA_ERROR_CONTEXT_IS_DESTROYED", 709},
/**
* A device-side assert triggered during kernel execution. The context
@@ -334,26 +334,26 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* memory allocations from this context are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
{ "CUDA_ERROR_ASSERT", 710 },
{"CUDA_ERROR_ASSERT", 710},
/**
* This error indicates that the hardware resources required to enable
* peer access have been exhausted for one or more of the devices
* passed to ::cuCtxEnablePeerAccess().
*/
{ "CUDA_ERROR_TOO_MANY_PEERS", 711 },
{"CUDA_ERROR_TOO_MANY_PEERS", 711},
/**
* This error indicates that the memory range passed to ::cuMemHostRegister()
* has already been registered.
*/
{ "CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED", 712 },
{"CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED", 712},
/**
* This error indicates that the pointer passed to ::cuMemHostUnregister()
* does not correspond to any currently registered memory region.
*/
{ "CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED", 713 },
{"CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED", 713},
/**
* While executing a kernel, the device encountered a stack error.
@@ -362,7 +362,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_HARDWARE_STACK_ERROR", 714 },
{"CUDA_ERROR_HARDWARE_STACK_ERROR", 714},
/**
* While executing a kernel, the device encountered an illegal instruction.
@@ -370,7 +370,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_ILLEGAL_INSTRUCTION", 715 },
{"CUDA_ERROR_ILLEGAL_INSTRUCTION", 715},
/**
* While executing a kernel, the device encountered a load or store instruction
@@ -379,7 +379,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_MISALIGNED_ADDRESS", 716 },
{"CUDA_ERROR_MISALIGNED_ADDRESS", 716},
/**
* While executing a kernel, the device encountered an instruction
@@ -390,7 +390,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_INVALID_ADDRESS_SPACE", 717 },
{"CUDA_ERROR_INVALID_ADDRESS_SPACE", 717},
/**
* While executing a kernel, the device program counter wrapped its address space.
@@ -398,7 +398,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{ "CUDA_ERROR_INVALID_PC", 718 },
{"CUDA_ERROR_INVALID_PC", 718},
/**
* An exception occurred on the device while executing a kernel. Common
@@ -408,7 +408,7 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* memory allocations from this context are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
{ "CUDA_ERROR_LAUNCH_FAILED", 719 },
{"CUDA_ERROR_LAUNCH_FAILED", 719},
/**
* This error indicates that the number of blocks launched per grid for a kernel that was
@@ -417,26 +417,24 @@ s_CudaErrorStr sCudaDrvErrorString[] =
* or ::cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags times the number of multiprocessors
* as specified by the device attribute ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT.
*/
{ "CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE", 720 },
{"CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE", 720},
/**
* This error indicates that the attempted operation is not permitted.
*/
{ "CUDA_ERROR_NOT_PERMITTED", 800 },
{"CUDA_ERROR_NOT_PERMITTED", 800},
/**
* This error indicates that the attempted operation is not supported
* on the current system or device.
*/
{ "CUDA_ERROR_NOT_SUPPORTED", 801 },
{"CUDA_ERROR_NOT_SUPPORTED", 801},
/**
* This indicates that an unknown internal error has occurred.
*/
{ "CUDA_ERROR_UNKNOWN", 999 },
{ NULL, -1 }
{"CUDA_ERROR_UNKNOWN", 999},
{NULL, -1}
};
// This is just a linear search through the array, since the error_id's are not
@@ -445,9 +443,7 @@ static inline const char *getCudaDrvErrorString(CUresult error_id)
{
int index = 0;
while (sCudaDrvErrorString[index].error_id != error_id &&
(int)sCudaDrvErrorString[index].error_id != -1)
{
while (sCudaDrvErrorString[index].error_id != error_id && (int)sCudaDrvErrorString[index].error_id != -1) {
index++;
}
@@ -459,5 +455,4 @@ static inline const char *getCudaDrvErrorString(CUresult error_id)
#endif // __cuda_cuda_h__
#endif