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Environment name is set as "DLAS" as per environment.yaml
anaconda3/miniconda3 detected in C:\Users\user\anaconda3
Starting conda environment "DLAS" from C:\Users\user\anaconda3
Latest git hash: 5ab4d9e
Traceback (most recent call last):
File "D:\ai\DL-Art-School\codes\train.py", line 389, in
torch.cuda.set_device(opt['gpu_ids'][0])
File "C:\Users\user\anaconda3\envs\DLAS\lib\site-packages\torch\cuda_init_.py", line 326, in set_device
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Press any key to continue . . .
what should i do?
The text was updated successfully, but these errors were encountered:
Environment name is set as "DLAS" as per environment.yaml
anaconda3/miniconda3 detected in C:\Users\user\anaconda3
Starting conda environment "DLAS" from C:\Users\user\anaconda3
Latest git hash: 5ab4d9e
Traceback (most recent call last):
File "D:\ai\DL-Art-School\codes\train.py", line 389, in
torch.cuda.set_device(opt['gpu_ids'][0])
File "C:\Users\user\anaconda3\envs\DLAS\lib\site-packages\torch\cuda_init_.py", line 326, in set_device
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Press any key to continue . . .
what should i do?
The text was updated successfully, but these errors were encountered: