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- switch from indent to clang-format, which is supported by Visual Studio Code

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- reindent all sources to common code style
- fix include sort errors from clang-format
- update AGPL 3.0 license file
This commit is contained in:
Dirk Nehring
2021-12-27 20:02:45 +01:00
parent 987ff6ba12
commit 177e44de98
29 changed files with 4309 additions and 5337 deletions
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92
drvapi_error_string.h
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@@ -14,12 +14,11 @@
#define _DRVAPI_ERROR_STRING_H_
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <string.h>
// Error Code string definitions here
typedef struct
{
typedef struct {
char const *error_string;
unsigned int error_id;
} s_CudaErrorStr;
@@ -62,30 +61,30 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
/**
* 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.
* 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},
@@ -207,9 +206,9 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
{"CUDA_ERROR_INVALID_GRAPHICS_CONTEXT", 219},
/**
* This indicates that an uncorrectable NVLink error was detected during the
* execution.
*/
* This indicates that an uncorrectable NVLink error was detected during the
* execution.
*/
{"CUDA_ERROR_NVLINK_UNCORRECTABLE", 220},
/**
@@ -256,18 +255,19 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
/**
* 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().
* 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},
/**
* While executing a kernel, the device encountered a
* load or store instruction on an invalid memory address.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
* This leaves the process in an inconsistent state and any further CUDA
* work will return the same error. To continue using CUDA, the process must
* be terminated and relaunched.
*/
{"CUDA_ERROR_ILLEGAL_ADDRESS", 700},
@@ -342,8 +342,8 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
{"CUDA_ERROR_TOO_MANY_PEERS", 711},
/**
* This error indicates that the memory range passed to ::cuMemHostRegister()
* has already been registered.
* This error indicates that the memory range passed to
* ::cuMemHostRegister() has already been registered.
*/
{"CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED", 712},
@@ -356,25 +356,25 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
/**
* While executing a kernel, the device encountered a stack error.
* This can be due to stack corruption or exceeding the stack size limit.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
* This leaves the process in an inconsistent state and any further CUDA
* work will return the same error. To continue using CUDA, the process must
* be terminated and relaunched.
*/
{"CUDA_ERROR_HARDWARE_STACK_ERROR", 714},
/**
* While executing a kernel, the device encountered an illegal instruction.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
* This leaves the process in an inconsistent state and any further CUDA
* work will return the same error. To continue using CUDA, the process must
* be terminated and relaunched.
*/
{"CUDA_ERROR_ILLEGAL_INSTRUCTION", 715},
/**
* While executing a kernel, the device encountered a load or store instruction
* on a memory address which is not aligned.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* While executing a kernel, the device encountered a load or store
* instruction on a memory address which is not aligned. This leaves the
* process in an inconsistent state and any further CUDA work will return
* the same error. To continue using CUDA, the process must be terminated
* and relaunched.
*/
{"CUDA_ERROR_MISALIGNED_ADDRESS", 716},
@@ -384,17 +384,17 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
* which can only operate on memory locations in certain address spaces
* (global, shared, or local), but was supplied a memory address not
* belonging to an allowed address space.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
* This leaves the process in an inconsistent state and any further CUDA
* work will return the same error. To continue using CUDA, the process must
* be terminated and relaunched.
*/
{"CUDA_ERROR_INVALID_ADDRESS_SPACE", 717},
/**
* While executing a kernel, the device program counter wrapped its address space.
* This leaves the process in an inconsistent state and any further CUDA work
* will return the same error. To continue using CUDA, the process must be terminated
* and relaunched.
* While executing a kernel, the device program counter wrapped its address
* space. This leaves the process in an inconsistent state and any further
* CUDA work will return the same error. To continue using CUDA, the process
* must be terminated and relaunched.
*/
{"CUDA_ERROR_INVALID_PC", 718},
@@ -409,11 +409,13 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
{"CUDA_ERROR_LAUNCH_FAILED", 719},
/**
* This error indicates that the number of blocks launched per grid for a kernel that was
* launched via either ::cuLaunchCooperativeKernel or ::cuLaunchCooperativeKernelMultiDevice
* exceeds the maximum number of blocks as allowed by ::cuOccupancyMaxActiveBlocksPerMultiprocessor
* or ::cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags times the number of multiprocessors
* as specified by the device attribute ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT.
* This error indicates that the number of blocks launched per grid for a
* kernel that was launched via either ::cuLaunchCooperativeKernel or
* ::cuLaunchCooperativeKernelMultiDevice exceeds the maximum number of
* blocks as allowed by ::cuOccupancyMaxActiveBlocksPerMultiprocessor 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},
@@ -432,13 +434,11 @@ s_CudaErrorStr sCudaDrvErrorString[] = {
* This indicates that an unknown internal error has occurred.
*/
{"CUDA_ERROR_UNKNOWN", 999},
{NULL, -1}
};
{NULL, -1}};
// This is just a linear search through the array, since the error_id's are not
// always ocurring consecutively
static inline const char *getCudaDrvErrorString(CUresult error_id)
{
static inline const char *getCudaDrvErrorString(CUresult error_id) {
int index = 0;
while (sCudaDrvErrorString[index].error_id != error_id && (int)sCudaDrvErrorString[index].error_id != -1) {