jcuda.runtime
Class cudaError

java.lang.Object
  jcuda.runtime.cudaError

public class cudaError
extends java.lang.Object

Error codes

Field Summary

static int	cudaErrorAddressOfConstant This indicated that the user has taken the address of a constant variable, which was forbidden up until the CUDA 3.1 release.
static int	cudaErrorApiFailureBase Any unhandled CUDA driver error is added to this value and returned via the runtime.
static int	cudaErrorCudartUnloading This indicated an issue with calling API functions during the unload process of the CUDA runtime in prior releases.
static int	cudaErrorDevicesUnavailable This indicates that all CUDA devices are busy or unavailable at the current time.
static int	cudaErrorDuplicateSurfaceName This indicates that multiple surfaces (across separate CUDA source files in the application) share the same string name.
static int	cudaErrorDuplicateTextureName This indicates that multiple textures (across separate CUDA source files in the application) share the same string name.
static int	cudaErrorDuplicateVariableName This indicates that multiple global or constant variables (across separate CUDA source files in the application) share the same string name.
static int	cudaErrorECCUncorrectable This indicates that an uncorrectable ECC error was detected during execution.
static int	cudaErrorIncompatibleDriverContext This indicates that the current context is not compatible with this version of the CUDA Runtime.
static int	cudaErrorInitializationError The API call failed because the CUDA driver and runtime could not be initialized.
static int	cudaErrorInsufficientDriver This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library.
static int	cudaErrorInvalidChannelDescriptor This indicates that the channel descriptor passed to the API call is not valid.
static int	cudaErrorInvalidConfiguration This indicates that a kernel launch is requesting resources that can never be satisfied by the current device.
static int	cudaErrorInvalidDevice This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.
static int	cudaErrorInvalidDeviceFunction The requested device function does not exist or is not compiled for the proper device architecture.
static int	cudaErrorInvalidDevicePointer This indicates that at least one device pointer passed to the API call is not a valid device pointer.
static int	cudaErrorInvalidFilterSetting This indicates that a non-float texture was being accessed with linear filtering.
static int	cudaErrorInvalidHostPointer This indicates that at least one host pointer passed to the API call is not a valid host pointer.
static int	cudaErrorInvalidKernelImage This indicates that the device kernel image is invalid.
static int	cudaErrorInvalidMemcpyDirection This indicates that the direction of the memcpy passed to the API call is not one of the types specified by ::cudaMemcpyKind.
static int	cudaErrorInvalidNormSetting This indicates that an attempt was made to read a non-float texture as a normalized float.
static int	cudaErrorInvalidPitchValue This indicates that one or more of the pitch-related parameters passed to the API call is not within the acceptable range for pitch.
static int	cudaErrorInvalidResourceHandle This indicates that a resource handle passed to the API call was not valid.
static int	cudaErrorInvalidSurface This indicates that the surface passed to the API call is not a valid surface.
static int	cudaErrorInvalidSymbol This indicates that the symbol name/identifier passed to the API call is not a valid name or identifier.
static int	cudaErrorInvalidTexture This indicates that the texture passed to the API call is not a valid texture.
static int	cudaErrorInvalidTextureBinding This indicates that the texture binding is not valid.
static int	cudaErrorInvalidValue This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values.
static int	cudaErrorLaunchFailure An exception occurred on the device while executing a kernel.
static int	cudaErrorLaunchOutOfResources This indicates that a launch did not occur because it did not have appropriate resources.
static int	cudaErrorLaunchTimeout This indicates that the device kernel took too long to execute.
static int	cudaErrorMapBufferObjectFailed This indicates that the buffer object could not be mapped.
static int	cudaErrorMemoryAllocation The API call failed because it was unable to allocate enough memory to perform the requested operation.
static int	cudaErrorMemoryValueTooLarge This indicated that an emulated device pointer exceeded the 32-bit address range.
static int	cudaErrorMissingConfiguration The device function being invoked (usually via ::cudaLaunch()) was not previously configured via the ::cudaConfigureCall() function.
static int	cudaErrorMixedDeviceExecution Mixing of device and device emulation code was not allowed.
static int	cudaErrorNoDevice This indicates that no CUDA-capable devices were detected by the installed CUDA driver.
static int	cudaErrorNoKernelImageForDevice This indicates that there is no kernel image available that is suitable for the device.
static int	cudaErrorNotReady This indicates that asynchronous operations issued previously have not completed yet.
static int	cudaErrorNotYetImplemented This indicates that the API call is not yet implemented.
static int	cudaErrorPriorLaunchFailure This indicated that a previous kernel launch failed.
static int	cudaErrorSetOnActiveProcess This indicates that the user has called ::cudaSetDevice(), ::cudaSetValidDevices(), ::cudaSetDeviceFlags(), ::cudaD3D9SetDirect3DDevice(), ::cudaD3D10SetDirect3DDevice, ::cudaD3D11SetDirect3DDevice(), * or ::cudaVDPAUSetVDPAUDevice() after initializing the CUDA runtime by calling non-device management operations (allocating memory and launching kernels are examples of non-device management operations).
static int	cudaErrorSharedObjectInitFailed This indicates that initialization of a shared object failed.
static int	cudaErrorSharedObjectSymbolNotFound This indicates that a link to a shared object failed to resolve.
static int	cudaErrorStartupFailure This indicates an internal startup failure in the CUDA runtime.
static int	cudaErrorSynchronizationError This indicated that a synchronization operation had failed.
static int	cudaErrorTextureFetchFailed This indicated that a texture fetch was not able to be performed.
static int	cudaErrorTextureNotBound This indicated that a texture was not bound for access.
static int	cudaErrorUnknown This indicates that an unknown internal error has occurred.
static int	cudaErrorUnmapBufferObjectFailed This indicates that the buffer object could not be unmapped.
static int	cudaErrorUnsupportedLimit This indicates that the ::cudaLimit passed to the API call is not supported by the active device.
static int	cudaSuccess The API call returned with no errors.
static int	jcudaInternalError An internal JCuda error occurred

Method Summary

static java.lang.String

stringFor(int error) Returns the String identifying the given cudaError

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

cudaSuccess

public static final int cudaSuccess

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 ::cudaEventQuery() and ::cudaStreamQuery()).

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Constant Field Values

cudaErrorMissingConfiguration

public static final int cudaErrorMissingConfiguration

The device function being invoked (usually via ::cudaLaunch()) was not previously configured via the ::cudaConfigureCall() function.

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Constant Field Values

cudaErrorMemoryAllocation

public static final int cudaErrorMemoryAllocation

The API call failed because it was unable to allocate enough memory to perform the requested operation.

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Constant Field Values

cudaErrorInitializationError

public static final int cudaErrorInitializationError

The API call failed because the CUDA driver and runtime could not be initialized.

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cudaErrorLaunchFailure

public static final int cudaErrorLaunchFailure

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 device cannot be used until ::cudaThreadExit() is called. All existing device memory allocations are invalid and must be reconstructed if the program is to continue using CUDA.

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Constant Field Values

cudaErrorPriorLaunchFailure

public static final int cudaErrorPriorLaunchFailure

This indicated that a previous kernel launch failed. This was previously used for device emulation of kernel launches. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorLaunchTimeout

public static final int cudaErrorLaunchTimeout

This indicates that the device kernel took too long to execute. This can only occur if timeouts are enabled - see the device property \ref ::cudaDeviceProp::kernelExecTimeoutEnabled "kernelExecTimeoutEnabled" for more information. The device cannot be used until ::cudaThreadExit() is called. All existing device memory allocations are invalid and must be reconstructed if the program is to continue using CUDA.

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Constant Field Values

cudaErrorLaunchOutOfResources

public static final int cudaErrorLaunchOutOfResources

This indicates that a launch did not occur because it did not have appropriate resources. Although this error is similar to ::cudaErrorInvalidConfiguration, 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.

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Constant Field Values

cudaErrorInvalidDeviceFunction

public static final int cudaErrorInvalidDeviceFunction

The requested device function does not exist or is not compiled for the proper device architecture.

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Constant Field Values

cudaErrorInvalidConfiguration

public static final int cudaErrorInvalidConfiguration

This indicates that a kernel launch is requesting resources that can never be satisfied by the current device. Requesting more shared memory per block than the device supports will trigger this error, as will requesting too many threads or blocks. See ::cudaDeviceProp for more device limitations.

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Constant Field Values

cudaErrorInvalidDevice

public static final int cudaErrorInvalidDevice

This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA device.

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Constant Field Values

cudaErrorInvalidValue

public static final int cudaErrorInvalidValue

This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values.

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Constant Field Values

cudaErrorInvalidPitchValue

public static final int cudaErrorInvalidPitchValue

This indicates that one or more of the pitch-related parameters passed to the API call is not within the acceptable range for pitch.

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Constant Field Values

cudaErrorInvalidSymbol

public static final int cudaErrorInvalidSymbol

This indicates that the symbol name/identifier passed to the API call is not a valid name or identifier.

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Constant Field Values

cudaErrorMapBufferObjectFailed

public static final int cudaErrorMapBufferObjectFailed

This indicates that the buffer object could not be mapped.

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Constant Field Values

cudaErrorUnmapBufferObjectFailed

public static final int cudaErrorUnmapBufferObjectFailed

This indicates that the buffer object could not be unmapped.

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Constant Field Values

cudaErrorInvalidHostPointer

public static final int cudaErrorInvalidHostPointer

This indicates that at least one host pointer passed to the API call is not a valid host pointer.

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Constant Field Values

cudaErrorInvalidDevicePointer

public static final int cudaErrorInvalidDevicePointer

This indicates that at least one device pointer passed to the API call is not a valid device pointer.

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Constant Field Values

cudaErrorInvalidTexture

public static final int cudaErrorInvalidTexture

This indicates that the texture passed to the API call is not a valid texture.

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Constant Field Values

cudaErrorInvalidTextureBinding

public static final int cudaErrorInvalidTextureBinding

This indicates that the texture binding is not valid. This occurs if you call ::cudaGetTextureAlignmentOffset() with an unbound texture.

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Constant Field Values

cudaErrorInvalidChannelDescriptor

public static final int cudaErrorInvalidChannelDescriptor

This indicates that the channel descriptor passed to the API call is not valid. This occurs if the format is not one of the formats specified by ::cudaChannelFormatKind, or if one of the dimensions is invalid.

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Constant Field Values

cudaErrorInvalidMemcpyDirection

public static final int cudaErrorInvalidMemcpyDirection

This indicates that the direction of the memcpy passed to the API call is not one of the types specified by ::cudaMemcpyKind.

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Constant Field Values

cudaErrorAddressOfConstant

public static final int cudaErrorAddressOfConstant

This indicated that the user has taken the address of a constant variable, which was forbidden up until the CUDA 3.1 release. \deprecated This error return is deprecated as of CUDA 3.1. Variables in constant memory may now have their address taken by the runtime via ::cudaGetSymbolAddress().

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Constant Field Values

cudaErrorTextureFetchFailed

public static final int cudaErrorTextureFetchFailed

This indicated that a texture fetch was not able to be performed. This was previously used for device emulation of texture operations. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorTextureNotBound

public static final int cudaErrorTextureNotBound

This indicated that a texture was not bound for access. This was previously used for device emulation of texture operations. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorSynchronizationError

public static final int cudaErrorSynchronizationError

This indicated that a synchronization operation had failed. This was previously used for some device emulation functions. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorInvalidFilterSetting

public static final int cudaErrorInvalidFilterSetting

This indicates that a non-float texture was being accessed with linear filtering. This is not supported by CUDA.

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Constant Field Values

cudaErrorInvalidNormSetting

public static final int cudaErrorInvalidNormSetting

This indicates that an attempt was made to read a non-float texture as a normalized float. This is not supported by CUDA.

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Constant Field Values

cudaErrorMixedDeviceExecution

public static final int cudaErrorMixedDeviceExecution

Mixing of device and device emulation code was not allowed. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorCudartUnloading

public static final int cudaErrorCudartUnloading

This indicated an issue with calling API functions during the unload process of the CUDA runtime in prior releases. \deprecated This error return is deprecated as of CUDA 3.2.

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Constant Field Values

cudaErrorUnknown

public static final int cudaErrorUnknown

This indicates that an unknown internal error has occurred.

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Constant Field Values

cudaErrorNotYetImplemented

public static final int cudaErrorNotYetImplemented

This indicates that the API call is not yet implemented. Production releases of CUDA will never return this error.

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Constant Field Values

cudaErrorMemoryValueTooLarge

public static final int cudaErrorMemoryValueTooLarge

This indicated that an emulated device pointer exceeded the 32-bit address range. \deprecated This error return is deprecated as of CUDA 3.1. Device emulation mode was removed with the CUDA 3.1 release.

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Constant Field Values

cudaErrorInvalidResourceHandle

public static final int cudaErrorInvalidResourceHandle

This indicates that a resource handle passed to the API call was not valid. Resource handles are opaque types like ::cudaStream_t and ::cudaEvent_t.

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Constant Field Values

cudaErrorNotReady

public static final int cudaErrorNotReady

This indicates that asynchronous operations issued previously have not completed yet. This result is not actually an error, but must be indicated differently than ::cudaSuccess (which indicates completion). Calls that may return this value include ::cudaEventQuery() and ::cudaStreamQuery().

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Constant Field Values

cudaErrorInsufficientDriver

public static final int cudaErrorInsufficientDriver

This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration. Users should install an updated NVIDIA display driver to allow the application to run.

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Constant Field Values

cudaErrorSetOnActiveProcess

public static final int cudaErrorSetOnActiveProcess

This indicates that the user has called ::cudaSetDevice(), ::cudaSetValidDevices(), ::cudaSetDeviceFlags(), ::cudaD3D9SetDirect3DDevice(), ::cudaD3D10SetDirect3DDevice, ::cudaD3D11SetDirect3DDevice(), * or ::cudaVDPAUSetVDPAUDevice() after initializing the CUDA runtime by calling non-device management operations (allocating memory and launching kernels are examples of non-device management operations). This error can also be returned if using runtime/driver interoperability and there is an existing ::CUcontext active on the host thread.

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Constant Field Values

cudaErrorInvalidSurface

public static final int cudaErrorInvalidSurface

This indicates that the surface passed to the API call is not a valid surface.

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Constant Field Values

cudaErrorNoDevice

public static final int cudaErrorNoDevice

This indicates that no CUDA-capable devices were detected by the installed CUDA driver.

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Constant Field Values

cudaErrorECCUncorrectable

public static final int cudaErrorECCUncorrectable

This indicates that an uncorrectable ECC error was detected during execution.

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Constant Field Values

cudaErrorSharedObjectSymbolNotFound

public static final int cudaErrorSharedObjectSymbolNotFound

This indicates that a link to a shared object failed to resolve.

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Constant Field Values

cudaErrorSharedObjectInitFailed

public static final int cudaErrorSharedObjectInitFailed

This indicates that initialization of a shared object failed.

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Constant Field Values

cudaErrorUnsupportedLimit

public static final int cudaErrorUnsupportedLimit

This indicates that the ::cudaLimit passed to the API call is not supported by the active device.

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Constant Field Values

cudaErrorDuplicateVariableName

public static final int cudaErrorDuplicateVariableName

This indicates that multiple global or constant variables (across separate CUDA source files in the application) share the same string name.

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Constant Field Values

cudaErrorDuplicateTextureName

public static final int cudaErrorDuplicateTextureName

This indicates that multiple textures (across separate CUDA source files in the application) share the same string name.

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Constant Field Values

cudaErrorDuplicateSurfaceName

public static final int cudaErrorDuplicateSurfaceName

This indicates that multiple surfaces (across separate CUDA source files in the application) share the same string name.

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Constant Field Values

cudaErrorDevicesUnavailable

public static final int cudaErrorDevicesUnavailable

This indicates that all CUDA devices are busy or unavailable at the current time. Devices are often busy/unavailable due to use of ::cudaComputeModeExclusive or ::cudaComputeModeProhibited. They can also be unavailable due to memory constraints on a device that already has active CUDA work being performed.

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Constant Field Values

cudaErrorInvalidKernelImage

public static final int cudaErrorInvalidKernelImage

This indicates that the device kernel image is invalid.

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Constant Field Values

cudaErrorNoKernelImageForDevice

public static final int cudaErrorNoKernelImageForDevice

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.

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Constant Field Values

cudaErrorIncompatibleDriverContext

public static final int cudaErrorIncompatibleDriverContext

This indicates that the current context is not compatible with this version of the CUDA Runtime. This can only occur if you are using CUDA Runtime/Driver interoperability and have created an existing Driver context using an older API. Please see \ref CUDART_DRIVER "Interactions with the CUDA Driver API" for more information.

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Constant Field Values

cudaErrorStartupFailure

public static final int cudaErrorStartupFailure

This indicates an internal startup failure in the CUDA runtime.

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Constant Field Values

cudaErrorApiFailureBase

public static final int cudaErrorApiFailureBase

Any unhandled CUDA driver error is added to this value and returned via the runtime. Production releases of CUDA should not return such errors.

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Constant Field Values

jcudaInternalError

public static final int jcudaInternalError

An internal JCuda error occurred

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Constant Field Values

Method Detail

stringFor

public static java.lang.String stringFor(int error)

Returns the String identifying the given cudaError

Parameters:

error - The cudaError

Returns:

The String identifying the given cudaError