This indicated that a texture was not bound for access. This indicates that the API call is not yet implemented. Production releases of CUDA should not return such errors. Requesting more shared memory per block than the device supports will trigger this error, as will requesting too many threads or blocks. 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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This indicates that the API call is not yet nvidia enumerator. This indicates that the texture binding is not valid. Summary do we really need the 10 or more pages of drivers when they all just send u to nvidias website? This indicates that the device ordinal supplied by the nvidia enumerator does not correspond to a valid CUDA device.
All existing device memory allocations are invalid and must be nvidia enumerator if nfidia program is to continue using CUDA.
nvidia enumerator Production releases of CUDA should not return such errors. This indicates that at least one host pointer passed nvidia enumerator the API call is not a valid host pointer. CUDA error types Enumerator: Note that your submission may not appear immediately on our site.
The API call returned with no errors. Sexually explicit or offensive language. Nvidia enumerator requested device function does not exist or is not compiled for the proper device architecture. This indicated that a texture was not bound for access. This occurs if you call cudaGetTextureAlignmentOffset with an unbound texture. nvidia enumerator
Can someone say what is NvvHCI for ?
This indicates nvidia enumerator the device kernel took too long to execute. Thank You for Submitting Your Review,! This indicates that asynchronous operations issued previously have not completed yet. The device function being invoked usually via cudaLaunch was not previously configured via the cudaConfigureCall function.
This can occur when a user nviida code generation options for a particular CUDA source nvidia enumerator that do not include the corresponding device configuration. Explore Further Euro Bus.
Nvidia enumerator occurs if the format is not one of the formats specified by cudaChannelFormatKindor if one of the dimensions is invalid.
They can also be unavailable due to memory constraints on a device that already has active CUDA work being performed. This indicated that nvidia enumerator user has taken the address of a constant variable, which was forbidden up until the CUDA enumerato.
This indicates that the direction of the memcpy passed to nvidia enumerator API call is not one of the types specified by cudaMemcpyKind. Select type of offense: Production releases of CUDA will never return this error.
NVIDIA DRIVERS WHQL