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<h2 title="Interface CudaError" class="title">Interface CudaError</h2>
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<pre>public interface <span class="typeNameLabel">CudaError</span></pre>
<div class="block">The <code>CudaError</code> interface defines the possible values of <a href="CudaException.html#code"><code>CudaException.code</code></a>.</div>
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<h3>Field Summary</h3>
<table class="memberSummary">
<caption><span>Fields</span><span class="tabEnd">&nbsp;</span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colSecond" scope="col">Field</th>
<th class="colLast" scope="col">Description</th>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#Assert">Assert</a></span></code></th>
<td class="colLast">
<div class="block">An assert triggered in device code during kernel execution.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#CudartUnloading">CudartUnloading</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a CUDA Runtime API call cannot be executed because
it is being called during process shut down, at a point in time after
CUDA driver has been unloaded.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#DeviceAlreadyInUse">DeviceAlreadyInUse</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a call tried to access an exclusive-thread device that
is already in use by a different thread.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#DevicesUnavailable">DevicesUnavailable</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that all CUDA devices are busy or unavailable at the current
time.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#DuplicateSurfaceName">DuplicateSurfaceName</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that multiple surfaces (across separate CUDA source
files in the application) share the same string name.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#DuplicateTextureName">DuplicateTextureName</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that multiple textures (across separate CUDA source
files in the application) share the same string name.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#DuplicateVariableName">DuplicateVariableName</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that multiple global or constant variables (across separate
CUDA source files in the application) share the same string name.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#ECCUncorrectable">ECCUncorrectable</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that an uncorrectable ECC error was detected during
execution.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#HostMemoryAlreadyRegistered">HostMemoryAlreadyRegistered</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that the memory range passed to ::cudaHostRegister()
has already been registered.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#HostMemoryNotRegistered">HostMemoryNotRegistered</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that the pointer passed to ::cudaHostUnregister()
does not correspond to any currently registered memory region.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#IncompatibleDriverContext">IncompatibleDriverContext</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the current context is not compatible with this
the CUDA Runtime.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InitializationError">InitializationError</a></span></code></th>
<td class="colLast">
<div class="block">The API call failed because the CUDA driver and runtime could not be
initialized.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InsufficientDriver">InsufficientDriver</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the installed NVIDIA CUDA driver is older than the
CUDA runtime library.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidChannelDescriptor">InvalidChannelDescriptor</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the channel descriptor passed to the API call is not
valid.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidConfiguration">InvalidConfiguration</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a kernel launch is requesting resources that can
never be satisfied by the current device.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidDevice">InvalidDevice</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the device ordinal supplied by the user does not
correspond to a valid CUDA device.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidDeviceFunction">InvalidDeviceFunction</a></span></code></th>
<td class="colLast">
<div class="block">The requested device function does not exist or is not compiled for the
proper device architecture.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidDevicePointer">InvalidDevicePointer</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that at least one device pointer passed to the API call is
not a valid device pointer.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidFilterSetting">InvalidFilterSetting</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a non-float texture was being accessed with linear
filtering.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidHostPointer">InvalidHostPointer</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that at least one host pointer passed to the API call is
not a valid host pointer.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidKernelImage">InvalidKernelImage</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the device kernel image is invalid.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidMemcpyDirection">InvalidMemcpyDirection</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the direction of the memcpy passed to the API call is
not one of the types specified by ::cudaMemcpyKind.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidNormSetting">InvalidNormSetting</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that an attempt was made to read a non-float texture as a
normalized float.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidPitchValue">InvalidPitchValue</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that one or more of the pitch-related parameters passed
to the API call is not within the acceptable range for pitch.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidResourceHandle">InvalidResourceHandle</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a resource handle passed to the API call was not
valid.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidSurface">InvalidSurface</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the surface passed to the API call is not a valid
surface.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidSymbol">InvalidSymbol</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the symbol name/identifier passed to the API call
is not a valid name or identifier.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidTexture">InvalidTexture</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the texture passed to the API call is not a valid
texture.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidTextureBinding">InvalidTextureBinding</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the texture binding is not valid.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#InvalidValue">InvalidValue</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that one or more of the parameters passed to the API call
is not within an acceptable range of values.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchFailure">LaunchFailure</a></span></code></th>
<td class="colLast">
<div class="block">An exception occurred on the device while executing a kernel.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchFileScopedSurf">LaunchFileScopedSurf</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a grid launch did not occur because the kernel
uses file-scoped surfaces which are unsupported by the device runtime.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchFileScopedTex">LaunchFileScopedTex</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a grid launch did not occur because the kernel
uses file-scoped textures which are unsupported by the device runtime.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchMaxDepthExceeded">LaunchMaxDepthExceeded</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a device runtime grid launch did not occur
because the depth of the child grid would exceed the maximum supported
number of nested grid launches.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchOutOfResources">LaunchOutOfResources</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a launch did not occur because it did not have
appropriate resources.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchPendingCountExceeded">LaunchPendingCountExceeded</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a device runtime grid launch failed because
the launch would exceed the limit ::cudaLimitDevRuntimePendingLaunchCount.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#LaunchTimeout">LaunchTimeout</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the device kernel took too long to execute.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#MapBufferObjectFailed">MapBufferObjectFailed</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the buffer object could not be mapped.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#MemoryAllocation">MemoryAllocation</a></span></code></th>
<td class="colLast">
<div class="block">The API call failed because it was unable to allocate enough memory to
perform the requested operation.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#MissingConfiguration">MissingConfiguration</a></span></code></th>
<td class="colLast">
<div class="block">The device function being invoked (usually via ::cudaLaunch()) was not
previously configured via the ::cudaConfigureCall() function.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#NoDevice">NoDevice</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that no CUDA-capable devices were detected by the installed
CUDA driver.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#NoKernelImageForDevice">NoKernelImageForDevice</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that there is no kernel image available that is suitable
for the device.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#NotPermitted">NotPermitted</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates the attempted operation is not permitted.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#NotReady">NotReady</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that asynchronous operations issued previously have not
completed yet.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#NotSupported">NotSupported</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates the attempted operation is not supported
on the current system or device.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#OperatingSystem">OperatingSystem</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that an OS call failed.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#PeerAccessAlreadyEnabled">PeerAccessAlreadyEnabled</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a call to ::cudaDeviceEnablePeerAccess() is
trying to re-enable peer addressing on from a context which has already
had peer addressing enabled.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#PeerAccessNotEnabled">PeerAccessNotEnabled</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that ::cudaDeviceDisablePeerAccess() is trying to
disable peer addressing which has not been enabled yet via
::cudaDeviceEnablePeerAccess().</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#PeerAccessUnsupported">PeerAccessUnsupported</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that P2P access is not supported across the given
devices.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#ProfilerDisabled">ProfilerDisabled</a></span></code></th>
<td class="colLast">
<div class="block">This indicates profiler is not initialized for this run.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#SetOnActiveProcess">SetOnActiveProcess</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the user has called ::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).</div>
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<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#SharedObjectInitFailed">SharedObjectInitFailed</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that initialization of a shared object failed.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#SharedObjectSymbolNotFound">SharedObjectSymbolNotFound</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that a link to a shared object failed to resolve.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#StartupFailure">StartupFailure</a></span></code></th>
<td class="colLast">
<div class="block">This indicates an internal startup failure in the CUDA runtime.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#Success">Success</a></span></code></th>
<td class="colLast">
<div class="block">The API call returned with no errors.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#SyncDepthExceeded">SyncDepthExceeded</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that a call to ::cudaDeviceSynchronize made from
the device runtime failed because the call was made at grid depth greater
than either the default (2 levels of grids) or user specified device
limit ::cudaLimitDevRuntimeSyncDepth.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#TooManyPeers">TooManyPeers</a></span></code></th>
<td class="colLast">
<div class="block">This error indicates that the hardware resources required to enable
peer access have been exhausted for one or more of the devices
passed to ::cudaEnablePeerAccess().</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#Unknown">Unknown</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that an unknown internal error has occurred.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#UnmapBufferObjectFailed">UnmapBufferObjectFailed</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the buffer object could not be unmapped.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>static int</code></td>
<th class="colSecond" scope="row"><code><span class="memberNameLink"><a href="#UnsupportedLimit">UnsupportedLimit</a></span></code></th>
<td class="colLast">
<div class="block">This indicates that the ::cudaLimit passed to the API call is not
supported by the active device.</div>
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<pre>static final&nbsp;int Success</pre>
<div class="block">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()).</div>
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<pre>static final&nbsp;int MissingConfiguration</pre>
<div class="block">The device function being invoked (usually via ::cudaLaunch()) was not
previously configured via the ::cudaConfigureCall() function.</div>
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<pre>static final&nbsp;int MemoryAllocation</pre>
<div class="block">The API call failed because it was unable to allocate enough memory to
perform the requested operation.</div>
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<pre>static final&nbsp;int InitializationError</pre>
<div class="block">The API call failed because the CUDA driver and runtime could not be
initialized.</div>
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<pre>static final&nbsp;int LaunchFailure</pre>
<div class="block">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.</div>
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<pre>static final&nbsp;int LaunchTimeout</pre>
<div class="block">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.</div>
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<pre>static final&nbsp;int LaunchOutOfResources</pre>
<div class="block">This indicates that a launch did not occur because it did not have
appropriate resources. Although this error is similar to
::InvalidConfiguration, 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.</div>
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<pre>static final&nbsp;int InvalidDeviceFunction</pre>
<div class="block">The requested device function does not exist or is not compiled for the
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<pre>static final&nbsp;int InvalidConfiguration</pre>
<div class="block">This indicates that a kernel launch is requesting resources that can
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per block than the device supports will trigger this error, as will
requesting too many threads or blocks. See ::cudaDeviceProp for more
device limitations.</div>
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<pre>static final&nbsp;int InvalidDevice</pre>
<div class="block">This indicates that the device ordinal supplied by the user does not
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<pre>static final&nbsp;int InvalidValue</pre>
<div class="block">This indicates that one or more of the parameters passed to the API call
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<pre>static final&nbsp;int InvalidPitchValue</pre>
<div class="block">This indicates that one or more of the pitch-related parameters passed
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<pre>static final&nbsp;int InvalidSymbol</pre>
<div class="block">This indicates that the symbol name/identifier passed to the API call
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<pre>static final&nbsp;int MapBufferObjectFailed</pre>
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<pre>static final&nbsp;int UnmapBufferObjectFailed</pre>
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<pre>static final&nbsp;int InvalidHostPointer</pre>
<div class="block">This indicates that at least one host pointer passed to the API call is
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<pre>static final&nbsp;int InvalidDevicePointer</pre>
<div class="block">This indicates that at least one device pointer passed to the API call is
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<pre>static final&nbsp;int InvalidTexture</pre>
<div class="block">This indicates that the texture passed to the API call is not a valid
texture.</div>
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<pre>static final&nbsp;int InvalidTextureBinding</pre>
<div class="block">This indicates that the texture binding is not valid. This occurs if you
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<pre>static final&nbsp;int InvalidChannelDescriptor</pre>
<div class="block">This indicates that the channel descriptor passed to the API call is not
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::cudaChannelFormatKind, or if one of the dimensions is invalid.</div>
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<pre>static final&nbsp;int InvalidMemcpyDirection</pre>
<div class="block">This indicates that the direction of the memcpy passed to the API call is
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<pre>static final&nbsp;int InvalidFilterSetting</pre>
<div class="block">This indicates that a non-float texture was being accessed with linear
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<pre>static final&nbsp;int InvalidNormSetting</pre>
<div class="block">This indicates that an attempt was made to read a non-float texture as a
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<pre>static final&nbsp;int CudartUnloading</pre>
<div class="block">This indicates that a CUDA Runtime API call cannot be executed because
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CUDA driver has been unloaded.</div>
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<pre>static final&nbsp;int Unknown</pre>
<div class="block">This indicates that an unknown internal error has occurred.</div>
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<pre>static final&nbsp;int InvalidResourceHandle</pre>
<div class="block">This indicates that a resource handle passed to the API call was not
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<pre>static final&nbsp;int NotReady</pre>
<div class="block">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
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<pre>static final&nbsp;int InsufficientDriver</pre>
<div class="block">This indicates that the installed NVIDIA CUDA driver is older than the
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<pre>static final&nbsp;int SetOnActiveProcess</pre>
<div class="block">This indicates that the user has called ::cudaSetValidDevices(),
::cudaSetDeviceFlags(), ::cudaD3D9SetDirect3DDevice(),
::cudaD3D10SetDirect3DDevice, ::cudaD3D11SetDirect3DDevice(), or
::cudaVDPAUSetVDPAUDevice() after initializing the CUDA runtime by
calling non-device management operations (allocating memory and
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host thread.</div>
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<pre>static final&nbsp;int InvalidSurface</pre>
<div class="block">This indicates that the surface passed to the API call is not a valid
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<pre>static final&nbsp;int NoDevice</pre>
<div class="block">This indicates that no CUDA-capable devices were detected by the installed
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<pre>static final&nbsp;int ECCUncorrectable</pre>
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execution.</div>
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<pre>static final&nbsp;int SharedObjectSymbolNotFound</pre>
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<pre>static final&nbsp;int SharedObjectInitFailed</pre>
<div class="block">This indicates that initialization of a shared object failed.</div>
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<pre>static final&nbsp;int UnsupportedLimit</pre>
<div class="block">This indicates that the ::cudaLimit passed to the API call is not
supported by the active device.</div>
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<pre>static final&nbsp;int DuplicateVariableName</pre>
<div class="block">This indicates that multiple global or constant variables (across separate
CUDA source files in the application) share the same string name.</div>
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<pre>static final&nbsp;int DuplicateTextureName</pre>
<div class="block">This indicates that multiple textures (across separate CUDA source
files in the application) share the same string name.</div>
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<pre>static final&nbsp;int DuplicateSurfaceName</pre>
<div class="block">This indicates that multiple surfaces (across separate CUDA source
files in the application) share the same string name.</div>
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<pre>static final&nbsp;int DevicesUnavailable</pre>
<div class="block">This indicates that all CUDA devices are busy or unavailable at the current
time. Devices are often busy/unavailable due to use of
::cudaComputeModeExclusive, ::cudaComputeModeProhibited or when long
running CUDA kernels have filled up the GPU and are blocking new work
from starting. They can also be unavailable due to memory constraints
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<pre>static final&nbsp;int InvalidKernelImage</pre>
<div class="block">This indicates that the device kernel image is invalid.</div>
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<pre>static final&nbsp;int NoKernelImageForDevice</pre>
<div class="block">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.</div>
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<pre>static final&nbsp;int IncompatibleDriverContext</pre>
<div class="block">This indicates that the current context is not compatible with this
the CUDA Runtime. This can only occur if you are using CUDA
Runtime/Driver interoperability and have created an existing Driver
context using the driver API. The Driver context may be incompatible
either because the Driver context was created using an older version
of the API, because the Runtime API call expects a primary driver
context and the Driver context is not primary, or because the Driver
context has been destroyed. Please see CUDART_DRIVER <q>Interactions
with the CUDA Driver API</q> for more information.</div>
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<pre>static final&nbsp;int PeerAccessAlreadyEnabled</pre>
<div class="block">This error indicates that a call to ::cudaDeviceEnablePeerAccess() is
trying to re-enable peer addressing on from a context which has already
had peer addressing enabled.</div>
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<pre>static final&nbsp;int PeerAccessNotEnabled</pre>
<div class="block">This error indicates that ::cudaDeviceDisablePeerAccess() is trying to
disable peer addressing which has not been enabled yet via
::cudaDeviceEnablePeerAccess().</div>
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<pre>static final&nbsp;int DeviceAlreadyInUse</pre>
<div class="block">This indicates that a call tried to access an exclusive-thread device that
is already in use by a different thread.</div>
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<pre>static final&nbsp;int ProfilerDisabled</pre>
<div class="block">This indicates profiler is not initialized for this run. This can
happen when the application is running with external profiling tools
like visual profiler.</div>
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<pre>static final&nbsp;int Assert</pre>
<div class="block">An assert triggered in device code during kernel execution. The device
cannot be used again until ::cudaThreadExit() is called. All existing
allocations are invalid and must be reconstructed if the program is to
continue using CUDA.</div>
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<pre>static final&nbsp;int TooManyPeers</pre>
<div class="block">This error indicates that the hardware resources required to enable
peer access have been exhausted for one or more of the devices
passed to ::cudaEnablePeerAccess().</div>
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<pre>static final&nbsp;int HostMemoryAlreadyRegistered</pre>
<div class="block">This error indicates that the memory range passed to ::cudaHostRegister()
has already been registered.</div>
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<pre>static final&nbsp;int HostMemoryNotRegistered</pre>
<div class="block">This error indicates that the pointer passed to ::cudaHostUnregister()
does not correspond to any currently registered memory region.</div>
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<pre>static final&nbsp;int OperatingSystem</pre>
<div class="block">This error indicates that an OS call failed.</div>
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<pre>static final&nbsp;int PeerAccessUnsupported</pre>
<div class="block">This error indicates that P2P access is not supported across the given
devices.</div>
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<pre>static final&nbsp;int LaunchMaxDepthExceeded</pre>
<div class="block">This error indicates that a device runtime grid launch did not occur
because the depth of the child grid would exceed the maximum supported
number of nested grid launches.</div>
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<pre>static final&nbsp;int LaunchFileScopedTex</pre>
<div class="block">This error indicates that a grid launch did not occur because the kernel
uses file-scoped textures which are unsupported by the device runtime.
Kernels launched via the device runtime only support textures created with
the Texture Object API's.</div>
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<pre>static final&nbsp;int LaunchFileScopedSurf</pre>
<div class="block">This error indicates that a grid launch did not occur because the kernel
uses file-scoped surfaces which are unsupported by the device runtime.
Kernels launched via the device runtime only support surfaces created with
the Surface Object API's.</div>
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<pre>static final&nbsp;int SyncDepthExceeded</pre>
<div class="block">This error indicates that a call to ::cudaDeviceSynchronize made from
the device runtime failed because the call was made at grid depth greater
than either the default (2 levels of grids) or user specified device
limit ::cudaLimitDevRuntimeSyncDepth. To be able to synchronize on
launched grids at a greater depth successfully, the maximum nested
depth at which ::cudaDeviceSynchronize will be called must be specified
with the ::cudaLimitDevRuntimeSyncDepth limit to the ::cudaDeviceSetLimit
api before the host-side launch of a kernel using the device runtime.
Keep in mind that additional levels of sync depth require the runtime
to reserve large amounts of device memory that cannot be used for
user allocations.</div>
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<pre>static final&nbsp;int LaunchPendingCountExceeded</pre>
<div class="block">This error indicates that a device runtime grid launch failed because
the launch would exceed the limit ::cudaLimitDevRuntimePendingLaunchCount.
For this launch to proceed successfully, ::cudaDeviceSetLimit must be
called to set the ::cudaLimitDevRuntimePendingLaunchCount to be higher
than the upper bound of outstanding launches that can be issued to the
device runtime. Keep in mind that raising the limit of pending device
runtime launches will require the runtime to reserve device memory that
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<pre>static final&nbsp;int NotPermitted</pre>
<div class="block">This error indicates the attempted operation is not permitted.</div>
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<pre>static final&nbsp;int NotSupported</pre>
<div class="block">This error indicates the attempted operation is not supported
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<pre>static final&nbsp;int StartupFailure</pre>
<div class="block">This indicates an internal startup failure in the CUDA runtime.</div>
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