cudaErrorLaunchFailure = 719 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 syst...
This indicates that one or more of the parameters passed to the API call is not within an acceptable range of values. CUDA_ERROR_OUT_OF_MEMORY = 2 The API call failed because it was unable to allocate enough memory to perform the requested operation. CUDA_ERROR_NOT_INITIALIZED = 3 Thi...
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-> physical GPU (device: 0, name: GeForce GTX TITAN X, pci bus id: 0000:01:00.0, compute capability: 5.2) 2020-10-23 23:30:26.098546: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55dd491d4430 initialized for platform CUDA (this does not guarantee that XLA will be...
Introduced in CUDA 11.2, this error return indicates that at least one of these tests has failed and the validity of either the runtime or the driver could not be established. cudaErrorStartupFailure = 127 This indicates an internal startup failure in the CUDA runtime. cudaErrorInvalid...
Introduced in CUDA 11.2, this error return indicates that at least one of these tests has failed and the validity of either the runtime or the driver could not be established. cudaErrorStartupFailure = 127 This indicates an internal startup failure in the CUDA runtime. cudaErrorInvalid...
This limit is guaranteed not to be exeeded in any invocation of the kernel. Exceeding the the maximum number of threads results in runtime error or kernel launch failure. For kernels already using PTX directive .maxntid, this option will be ignored by default. Use CU_JIT_OVERRIDE_DIRECTIVE...