private static string GetErrorMessageFromCUResult(cudnnStatus error)
{
string message = string.Empty;
switch (error)
{
case cudnnStatus.Success:
message = "The operation completed successfully.";
break;
case cudnnStatus.NotInitialized:
message = "The cuDNN library was not initialized properly.\nThis error is usually returned when a call to cudnnCreate() fails or when cudnnCreate() has not been called prior to calling another cuDNN routine. In the former case, it is usually due to an error in the CUDA Runtime API called by cudnnCreate() or by an error in the hardware setup.";
break;
case cudnnStatus.AllocFailed:
message = "Resource allocation failed inside the cuDNN library. This is usually caused by an internal cudaMalloc() failure.\nTo correct: prior to the function call, deallocate previously allocated memory as much as possible.";
break;
case cudnnStatus.BadParam:
message = "An incorrect value or parameter was passed to the function.\nTo correct: ensure that all the parameters being passed have valid values.";
break;
case cudnnStatus.InternalError:
message = "An internal cuDNN operation failed.";
break;
case cudnnStatus.InvalidValue:
message = "";
break;
case cudnnStatus.ArchMismatch:
message = "The function requires a feature absent from the current GPU device. Note that cuDNN only supports devices with compute capabilities greater than or equal to 3.0.\nTo correct: compile and run the application on a device with appropriate compute capability.";
break;
case cudnnStatus.MappingError:
message = "An access to GPU memory space failed, which is usually caused by a failure to bind a texture.\nTo correct: prior to the function call, unbind any previously bound textures.\nOtherwise, this may indicate an internal error/bug in the library.";
break;
case cudnnStatus.ExecutionFailed:
message = "The GPU program failed to execute. This is usually caused by a failure to launch some cuDNN kernel on the GPU, which can occur for multiple reasons.\nTo correct: check that the hardware, an appropriate version of the driver, and the cuDNN library are correctly installed.\nOtherwise, this may indicate a internal error/bug in the library.";
break;
case cudnnStatus.NotSupported:
message = "The functionality requested is not presently supported by cuDNN.";
break;
case cudnnStatus.LicenseError:
message = "The functionality requested requires some license and an error was detected when trying to check the current licensing. This error can happen if the license is not present or is expired or if the environment variable NVIDIA_LICENSE_FILE is not set properly.";
break;
default:
break;
}
return(error.ToString() + ": " + message);
}
private static string GetErrorMessageFromCUResult(cudnnStatus error)
{
string message = string.Empty;
switch (error)
{
case cudnnStatus.Success:
break;
case cudnnStatus.NotInitialized:
break;
case cudnnStatus.AllocFailed:
break;
case cudnnStatus.BadParam:
break;
case cudnnStatus.InternalError:
break;
case cudnnStatus.InvalidValue:
break;
case cudnnStatus.ArchMismatch:
break;
case cudnnStatus.MappingError:
break;
case cudnnStatus.ExecutionFailed:
break;
case cudnnStatus.NotSupported:
break;
case cudnnStatus.LicenseError:
break;
default:
break;
}
return(error.ToString() + ": " + message);
}
private static string GetErrorMessageFromCUResult(cudnnStatus error)
{
string message = string.Empty;
switch (error)
{
case cudnnStatus.Success:
break;
case cudnnStatus.NotInitialized:
break;
case cudnnStatus.AllocFailed:
break;
case cudnnStatus.BadParam:
break;
case cudnnStatus.InternalError:
break;
case cudnnStatus.InvalidValue:
break;
case cudnnStatus.ArchMismatch:
break;
case cudnnStatus.MappingError:
break;
case cudnnStatus.ExecutionFailed:
break;
case cudnnStatus.NotSupported:
break;
case cudnnStatus.LicenseError:
break;
default:
break;
}
return error.ToString() + ": " + message ;
}
private static string GetErrorMessageFromCUResult(cudnnStatus error)
{
string message = string.Empty;
switch (error)
{
case cudnnStatus.Success:
message = "The operation completed successfully.";
break;
case cudnnStatus.NotInitialized:
message = "The cuDNN library was not initialized properly.\nThis error is usually returned when a call to cudnnCreate() fails or when cudnnCreate() has not been called prior to calling another cuDNN routine. In the former case, it is usually due to an error in the CUDA Runtime API called by cudnnCreate() or by an error in the hardware setup.";
break;
case cudnnStatus.AllocFailed:
message = "Resource allocation failed inside the cuDNN library. This is usually caused by an internal cudaMalloc() failure.\nTo correct: prior to the function call, deallocate previously allocated memory as much as possible.";
break;
case cudnnStatus.BadParam:
message = "An incorrect value or parameter was passed to the function.\nTo correct: ensure that all the parameters being passed have valid values.";
break;
case cudnnStatus.InternalError:
message = "An internal cuDNN operation failed.";
break;
case cudnnStatus.InvalidValue:
message = "";
break;
case cudnnStatus.ArchMismatch:
message = "The function requires a feature absent from the current GPU device. Note that cuDNN only supports devices with compute capabilities greater than or equal to 3.0.\nTo correct: compile and run the application on a device with appropriate compute capability.";
break;
case cudnnStatus.MappingError:
message = "An access to GPU memory space failed, which is usually caused by a failure to bind a texture.\nTo correct: prior to the function call, unbind any previously bound textures.\nOtherwise, this may indicate an internal error/bug in the library.";
break;
case cudnnStatus.ExecutionFailed:
message = "The GPU program failed to execute. This is usually caused by a failure to launch some cuDNN kernel on the GPU, which can occur for multiple reasons.\nTo correct: check that the hardware, an appropriate version of the driver, and the cuDNN library are correctly installed.\nOtherwise, this may indicate a internal error/bug in the library.";
break;
case cudnnStatus.NotSupported:
message = "The functionality requested is not presently supported by cuDNN.";
break;
case cudnnStatus.LicenseError:
message = "The functionality requested requires some license and an error was detected when trying to check the current licensing. This error can happen if the license is not present or is expired or if the environment variable NVIDIA_LICENSE_FILE is not set properly.";
break;
default:
break;
}
return error.ToString() + ": " + message ;
}
