GaNDLF Version
gandlf 0.0.16
Desktop (please complete the following information):
- Tried both on Ubuntu 18.04 and on Google Colab
How did you install GaNDLF
pip install gandlf
Dataset description
Working on the BraTS competition 2023
Describe your question/problem
Even after preparing the .csv as per the gandlf_constructCSV.py and using the .config_segmentation_brats.yaml , I get the error
On changing as image.data = image.data.float() I get the error:-
RuntimeError: cuDNN error: CUDNN_STATUS_MAPPING_ERROR
Also on doing torch.backends.cudnn.enabled = False I end up getting:-
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16F, lda, b, CUDA_R_16F, ldb, &fbeta, c, CUDA_R_16F, ldc, CUDA_R_32F, CUBLAS_GEMM_DFALT_TENSOR_OP)
Please tell me the error I have tried every possible thing. Thanks a lot for your help!!!!
GaNDLF Version
gandlf 0.0.16
Desktop (please complete the following information):
How did you install GaNDLF
pip install gandlf
Dataset description
Working on the BraTS competition 2023
Describe your question/problem
Even after preparing the .csv as per the gandlf_constructCSV.py and using the .config_segmentation_brats.yaml , I get the error
On changing as image.data = image.data.float() I get the error:-
RuntimeError: cuDNN error: CUDNN_STATUS_MAPPING_ERROR
Also on doing torch.backends.cudnn.enabled = False I end up getting:-
RuntimeError: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16F, lda, b, CUDA_R_16F, ldb, &fbeta, c, CUDA_R_16F, ldc, CUDA_R_32F, CUBLAS_GEMM_DFALT_TENSOR_OP)
Please tell me the error I have tried every possible thing. Thanks a lot for your help!!!!