RuntimeError: CUDA error: CUBLAS_ STATUS_ ALLOC_ FAILED when calling cublasCreate(handle)
Exception raised from createCublasHandle at … \aten\src\ATen\cuda\ CublasHandlePool.cpp : 8 (most recent call first):
record the bug of dcgan in Python training..
It took a long time to find out that the last line of the discriminator did not add sigmoid, which caused the tag to go beyond the range [0,1], so an error was reported.
Read More:
- [Solved] RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)`
- failed to create cublas handle: CUBLAS_STATUS_ALLOC_FAILED
- PyTorch Error: RuntimeError: CUDA error: CUBLAS_STATUS_INVALID_VALUE when calling cublasSgemm()
- CUBLAS_STATUS_ALLOC_FAILED
- (Solved) pytorch error: RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED (install cuda)
- Error: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
- (29)RuntimeError: cuda runtime error (999)
- RuntimeError: cuda runtime error (100) : no CUDA-capable device is detected at /opt/conda/conda-bld/
- Error Code 2: Internal Error (Assertion cublasStatus == CUBLAS_STATUS_SUCCES
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
- RuntimeError:cuda runtime error (11) : invalid argument at /pytorch/aten/src/THC/generic
- RuntimeError: cuda runtime error (801) : operation not supported at ..
- Runtimeerror using Python training model: CUDA out of memory error resolution
- Successfully solved runtimeerror: CUDA runtime error (30)
- RuntimeError: CUDA error: out of memory solution (valid for pro-test)
- RuntimeError: cuDNN error: CUDNN_ STATUS_ EXECUTION_ Failed solutions
- RuntimeError: reciprocal is not implemented for type torch.cuda.LongTensor
- RuntimeError: CUDA error: device-side assert triggered
- tensorflow2.1 Error:Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
- TSV_TNEW_PAGE_ALLOC_FAILED