checkCudaErrors.cpp

// Copyright 2019 André Hodapp
#include "checkCudaErrors.hpp"

namespace Unterfunktionen_checkCudaErrors {


  /*
  * returns the number of columns of the terminal
  */
  unsigned int askTerminalSize(){
    //use a file fp to save and get output of system command
    FILE *fp;
    char var[40];

    //"tput cols" tells you the number of columns
    fp = popen("tput cols", "r");
    while (fgets(var, sizeof(var), fp) != NULL)
        {
          //printf("command line has columns size: %s\n", var);
        }
    pclose(fp);
    unsigned int ret = atoi(var);
    //system("tput cols");
    return ret;
  }


  /*
  * split a string in C++
  * source: http://www.martinbroadhurst.com/how-to-split-a-string-in-c.html
  */
  template <class Container>
  void split(const std::string& str, Container& cont,
                char delim)
  {
      std::size_t current, previous = 0;
      current = str.find(delim);
      while (current != std::string::npos) {
          cont.push_back(str.substr(previous, current - previous));
          previous = current + 1;
          current = str.find(delim, previous);
      }
      cont.push_back(str.substr(previous, current - previous));
  }


  /*
  * this function indents the lines of the descripton to make look nicer :)
  */
  std::string descriptionFkt(const std::string& desc) {
      //size of each line is defined by the terminal size -24
      const unsigned int size_of_line = askTerminalSize()-24;

      //split string in words
      std::vector<std::string> substrings;
      split(desc, substrings);

      //variables
      char indent[] = "        ";
      std::string ret = "-->description: \n";
      ret = ret + indent;
      unsigned int size_of_currentLine = 0;

      //Am Anfang steht Deprecated
      if(substrings.at(0).compare("Deprecated") == 0){
          ret=ret+ " " + "|_DEPRECATED_|" + "\n";
      }else{
          ret = ret +" "+ substrings.at(0);
          size_of_currentLine += substrings.at(0).size();
      }


      //put words into a string which has lines with
      //lenght of size_of_line
      for(long unsigned int i=1;i<substrings.size();++i){
          if(size_of_currentLine + substrings.at(i).size()> size_of_line){
              ret = ret + "\n" + indent;
              size_of_currentLine = 0;
          }
          ret = ret +" "+ substrings.at(i);
          size_of_currentLine += substrings.at(i).size();
      }
      return ret;
  }

/*
* returns the type of nvrtc error
* the different errors are in :
* https://docs.nvidia.com/cuda/nvrtc/index.html#group__error_1g31e41ef222c0ea75b4c48f715b3cd9f0
* and the program itself is in https://github.com/ptillet/isaac/blob/master/include/isaac/external/CUDA/nvrtc.h
*/
  std::string whichNvrtcResultError(const nvrtcResult& error) {
    std::string ret{"Error: "};
    ret.append(std::to_string(error));
    ret.append("~");
    std::string description;
    switch (error)
    {
      case 0:
        ret = "NO_Error: 0~NVRTC_SUCCESS";
        break;
      case 1: //NVRTC_ERROR_OUT_OF_MEMORY
        ret = "1~NVRTC_ERROR_OUT_OF_MEMORY";
        break;
      case 2: //NVRTC_ERROR_PROGRAM_CREATION_FAILURE
        ret = "2~NVRTC_ERROR_PROGRAM_CREATION_FAILURE";
        break;
      case 3: //NVRTC_ERROR_INVALID_INPUT
        ret = "3~NVRTC_ERROR_INVALID_INPUT";
        break;
      case 4: //NVRTC_ERROR_INVALID_PROGRAM
        ret = "4~NVRTC_ERROR_INVALID_PROGRAM";
        break;
      case 5: //NVRTC_ERROR_INVALID_OPTION
        ret = "5~NVRTC_ERROR_INVALID_OPTION";
        break;
      case 6: //NVRTC_ERROR_COMPILATION
        ret = "6~NVRTC_ERROR_COMPILATION";
        break;
      case 7: //NVRTC_ERROR_BUILTIN_OPERATION_FAILURE
        ret = "7~NVRTC_ERROR_BUILTIN_OPERATION_FAILURE";
        break;
      case 8: //NVRTC_ERROR_NO_NAME_EXPRESSIONS_AFTER_COMPILATION
        ret = "8~NVRTC_ERROR_NO_NAME_EXPRESSIONS_AFTER_COMPILATION";
        break;
      case 9: //NVRTC_ERROR_NO_LOWERED_NAMES_BEFORE_COMPILATION
        ret = "9~NVRTC_ERROR_NO_LOWERED_NAMES_BEFORE_COMPILATION";
        break;
      case 10: //NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID
        ret = "10~NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID";
        break;
      case 11: //NVRTC_ERROR_INTERNAL_ERROR
        ret = "11~NVRTC_ERROR_INTERNAL_ERROR";
        break;
    default:
        ret.append("~error_unknown");
        description = "''It's a trap! Abort! We never left the CPU o(╥﹏╥)o'' But seriously: I don't know what happened, because it isn't even documented by NVIDIA.";
        break;
    }
    return ret;
  }

  /*
  * returns the type of error
  * the different errors are in :
  * https://docs.nvidia.com/cuda/cuda-driver-api/group__CUDA__TYPES.html#group__CUDA__TYPES_1gc6c391505e117393cc2558fff6bfc2e9
  */
  std::string whichError(const CUresult& error) {
    std::string ret{"     Error: "};
    ret.append(std::to_string(error));
    ret.append("~");
    std::string description;
    switch (error)
    {
      case 0:
        ret = "NO_Error: 0~CUDA_SUCCESS";
        description = "The API call returned with no errors. In the case of query calls, this also means that the operation being queried is complete (see cuEventQuery() and cuStreamQuery()).";
        //description is added to the return string
        description = descriptionFkt(description);
        ret.append("\n     ");
        ret.append(description);
        return ret;
        break;
        case 1:
          ret.append("CUDA_ERROR_INVALID_VALUE");
          description = "This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 2:
          ret.append("CUDA_ERROR_OUT_OF_MEMORY");
          description = "The API call failed because it was unable to allocate enough memory to perform the requested operation.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 3:
          ret.append("CUDA_ERROR_NOT_INITIALIZED");
          description = "This indicates that the CUDA driver has not been initialized with cuInit() or that initialization has failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 4:
          ret.append("CUDA_ERROR_DEINITIALIZED ");
          description = "This indicates that the CUDA driver is in the process of shutting down.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 5:
          ret.append("CUDA_ERROR_PROFILER_DISABLED");
          description = "This indicates profiler is not initialized for this run. This can happen when the application is running with external profiling tools like visual profiler.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 6:
          ret.append("CUDA_ERROR_PROFILER_NOT_INITIALIZED");
          description = "Deprecated This error return is deprecated as of CUDA 5.0. It is no longer an error to attempt to enable/disable the profiling via cuProfilerStart or cuProfilerStop without initialization.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 7:
          ret.append("CUDA_ERROR_PROFILER_ALREADY_STARTED");
          description = "Deprecated This error return is deprecated as of CUDA 5.0. It is no longer an error to call cuProfilerStart() when profiling is already enabled.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 8:
          ret.append("CUDA_ERROR_PROFILER_ALREADY_STOPPED");
          description = "Deprecated This error return is deprecated as of CUDA 5.0. It is no longer an error to call cuProfilerStop() when profiling is already disabled.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 100:
          ret.append("CUDA_ERROR_NO_DEVICE");
          description = "This indicates that no CUDA-capable devices were detected by the installed CUDA driver.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 101:
          ret.append("CUDA_ERROR_INVALID_DEVICE");
          description = "This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 200:
          ret.append("CUDA_ERROR_INVALID_IMAGE");
          description = "This indicates that the device kernel image is invalid. This can also indicate an invalid CUDA module.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 201:
          ret.append("CUDA_ERROR_INVALID_CONTEXT");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 202:
          ret.append("CUDA_ERROR_CONTEXT_ALREADY_CURRENT");
          description = "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(). This indicated that the context being supplied as a parameter to the API call was already the active context.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 205:
          ret.append("CUDA_ERROR_MAP_FAILED");
          description = "This indicates that a map or register operation has failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 206:
          ret.append("CUDA_ERROR_UNMAP_FAILED");
          description = "This indicates that an unmap or unregister operation has failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 207:
          ret.append("CUDA_ERROR_ARRAY_IS_MAPPED");
          description = "This indicates that the specified array is currently mapped and thus cannot be destroyed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 208:
          ret.append("CUDA_ERROR_ALREADY_MAPPED");
          description = "This indicates that the resource is already mapped.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 209:
          ret.append("CUDA_ERROR_NO_BINARY_FOR_GPU");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 210:
          ret.append("CUDA_ERROR_ALREADY_ACQUIRED");
          description = "This indicates that a resource has already been acquired.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 211:
          ret.append("CUDA_ERROR_NOT_MAPPED");
          description = "This indicates that a resource is not mapped.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 212:
          ret.append("CUDA_ERROR_NOT_MAPPED_AS_ARRAY");
          description = "This indicates that a mapped resource is not available for access as an array.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 213:
          ret.append("CUDA_ERROR_NOT_MAPPED_AS_POINTER");
          description = "This indicates that a mapped resource is not available for access as a pointer.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 214:
          ret.append("CUDA_ERROR_ECC_UNCORRECTABLE");
          description = "This indicates that an uncorrectable ECC error was detected during execution.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 215:
          ret.append("CUDA_ERROR_UNSUPPORTED_LIMIT");
          description = "This indicates that the CUlimit passed to the API call is not supported by the active device.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 216:
          ret.append("CUDA_ERROR_CONTEXT_ALREADY_IN_USE");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 217:
          ret.append("CUDA_ERROR_PEER_ACCESS_UNSUPPORTED");
          description = "This indicates that peer access is not supported across the given devices.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 218:
          ret.append("CUDA_ERROR_INVALID_PTX ");
          description = "This indicates that a PTX JIT compilation failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 219:
          ret.append("CUDA_ERROR_INVALID_GRAPHICS_CONTEXT");
          description = "This indicates an error with OpenGL or DirectX context.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 220:
          ret.append("CUDA_ERROR_NVLINK_UNCORRECTABLE");
          description = "This indicates that an uncorrectable NVLink error was detected during the execution.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 221:
          ret.append("CUDA_ERROR_JIT_COMPILER_NOT_FOUND");
          description = "This indicates that the PTX JIT compiler library was not found.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 300:
          ret.append("CUDA_ERROR_INVALID_SOURCE");
          description = "This indicates that the device kernel source is invalid.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 301:
          ret.append("CUDA_ERROR_FILE_NOT_FOUND");
          description = "This indicates that the file specified was not found.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 302:
          ret.append("CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND");
          description = "This indicates that a link to a shared object failed to resolve.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 303:
          ret.append("CUDA_ERROR_SHARED_OBJECT_INIT_FAILED");
          description = "This indicates that initialization of a shared object failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 304:
          ret.append("CUDA_ERROR_OPERATING_SYSTEM");
          description = "This indicates that an OS call failed.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 400:
          ret.append("CUDA_ERROR_INVALID_HANDLE");
          description = "This indicates that a resource handle passed to the API call was not valid. Resource handles are opaque types like CUstream and CUevent.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 401:
          ret.append("CUDA_ERROR_ILLEGAL_STATE");
          description = "This indicates that a resource required by the API call is not in a valid state to perform the requested operation.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 500:
          ret.append("CUDA_ERROR_NOT_FOUND");
          description = "This indicates that a named symbol was not found. Examples of symbols are global/constant variable names, texture names, and surface names.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 600:
          ret.append("CUDA_ERROR_NOT_READY");
          description = "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().";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 700:
          ret.append("CUDA_ERROR_ILLEGAL_ADDRESS");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 701:
          ret.append("CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 702:
          ret.append("CUDA_ERROR_LAUNCH_TIMEOUT");
          description = "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. 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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 703:
          ret.append("CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING");
          description = "This error indicates a kernel launch that uses an incompatible texturing mode.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 704:
          ret.append("CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 705:
          ret.append("CUDA_ERROR_PEER_ACCESS_NOT_ENABLED");
          description = "This error indicates that cuCtxDisablePeerAccess() is trying to disable peer access which has not been enabled yet via cuCtxEnablePeerAccess().";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 708:
          ret.append("CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE");
          description = "This error indicates that the primary context for the specified device has already been initialized.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 709:
          ret.append("CUDA_ERROR_CONTEXT_IS_DESTROYED");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 710:
          ret.append("CUDA_ERROR_ASSERT");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 711:
          ret.append("CUDA_ERROR_TOO_MANY_PEERS");
          description = "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().";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 712:
          ret.append("CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED");
          description = "This error indicates that the memory range passed to cuMemHostRegister() has already been registered.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 713:
          ret.append("CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED");
          description = "This error indicates that the pointer passed to cuMemHostUnregister() does not correspond to any currently registered memory region.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 714:
          ret.append("CUDA_ERROR_HARDWARE_STACK_ERROR ");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 715:
          ret.append("CUDA_ERROR_ILLEGAL_INSTRUCTION");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 716:
          ret.append("CUDA_ERROR_MISALIGNED_ADDRESS");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 717:
          ret.append("CUDA_ERROR_INVALID_ADDRESS_SPACE");
          description = "While executing a kernel, the device encountered an instruction 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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 718:
          ret.append("CUDA_ERROR_INVALID_PC");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 719:
          ret.append("CUDA_ERROR_LAUNCH_FAILED");
          description = "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. Less common cases can be system specific - more information about these cases can be found in the system specific user guide. 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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 720:
          ret.append("CUDA_ERROR_COOPERATIVE_LAUNCH_TOO_LARGE");
          description = "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.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 800:
          ret.append("CUDA_ERROR_NOT_PERMITTED");
          description = "This error indicates that the attempted operation is not permitted.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 801:
          ret.append("CUDA_ERROR_NOT_SUPPORTED");
          description = "This error indicates that the attempted operation is not supported on the current system or device.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 802:
          ret.append("CUDA_ERROR_SYSTEM_NOT_READY");
          description = "This error indicates that the system is not yet ready to start any CUDA work. To continue using CUDA, verify the system configuration is in a valid state and all required driver daemons are actively running. More information about this error can be found in the system specific user guide.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 803:
          ret.append("CUDA_ERROR_SYSTEM_DRIVER_MISMATCH");
          description = "This error indicates that there is a mismatch between the versions of the display driver and the CUDA driver. Refer to the compatibility documentation for supported versions.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 804:
          ret.append("CUDA_ERROR_COMPAT_NOT_SUPPORTED_ON_DEVICE");
          description = "This error indicates that the system was upgraded to run with forward compatibility but the visible hardware detected by CUDA does not support this configuration. Refer to the compatibility documentation for the supported hardware matrix or ensure that only supported hardware is visible during initialization via the CUDA_VISIBLE_DEVICES environment variable.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 900:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_UNSUPPORTED");
          description = "This error indicates that the operation is not permitted when the stream is capturing.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 901:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_INVALIDATED");
          description = "This error indicates that the current capture sequence on the stream has been invalidated due to a previous error.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 902:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_MERGE");
          description = "This error indicates that the operation would have resulted in a merge of two independent capture sequences.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 903:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_UNMATCHED");
          description = "This error indicates that the capture was not initiated in this stream.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 904:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_UNJOINED");
          description = "This error indicates that the capture sequence contains a fork that was not joined to the primary stream.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 905:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_ISOLATION");
          description = "This error indicates that a dependency would have been created which crosses the capture sequence boundary. Only implicit in-stream ordering dependencies are allowed to cross the boundary.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 906:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_IMPLICIT");
          description = "This error indicates a disallowed implicit dependency on a current capture sequence from cudaStreamLegacy.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 907:
          ret.append("CUDA_ERROR_CAPTURED_EVENT");
          description = "This error indicates that the operation is not permitted on an event which was last recorded in a capturing stream.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 908:
          ret.append("CUDA_ERROR_STREAM_CAPTURE_WRONG_THREAD");
          description = "A stream capture sequence not initiated with the CU_STREAM_CAPTURE_MODE_RELAXED argument to cuStreamBeginCapture was passed to cuStreamEndCapture in a different thread.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        case 999:
          ret.append("CUDA_ERROR_UNKNOWN");
          description = "This indicates that an unknown internal error has occurred.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;
        default:
          ret.append("~error_unknown");
          description = "''It's a trap! Abort! We never left the CPU o(╥﹏╥)o'' But seriously: I don't know what happened, because it isn't even documented by NVIDIA.";
            //description is added to the return string
            description = descriptionFkt(description);
            ret.append("\n     ");
            ret.append(description);
            return ret;

    }

  }
}