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I use a single GPU RTX3080, and cuda10.1, cudnn7.6.3, and torch1.4.0 as you specify in requirements.txt.
When I ran train.py to train the transfuser model, an error occurred: RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED.
After searching this error, I set torch.backends.cudnn.enabled=false, but another error came: RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc). I guess it is the problem of version.
The text was updated successfully, but these errors were encountered:
I use a single GPU RTX3080, and cuda10.1, cudnn7.6.3, and torch1.4.0 as you specify in requirements.txt.
When I ran train.py to train the transfuser model, an error occurred: RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED.
After searching this error, I set torch.backends.cudnn.enabled=false, but another error came: RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling
cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
. I guess it is the problem of version.The text was updated successfully, but these errors were encountered: