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I tried to train DINO on an original combined dataset consisting of about 2000 training images and about 500 validation images.
However, I got the following error. Please tell me how to resolve it.
File "/venv/lib/python3.10/site-packages/torch/_compile.py", line 24, in inner
return torch._dynamo.disable(fn, recursive)(*args, **kwargs)
File "/venv/lib/python3.10/site-packages/torch/_dynamo/decorators.py", line 50, in disable
return DisableContext()(fn)
File "/venv/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 410, in __call__
(filename is None or trace_rules.check(fn))
File "/venv/lib/python3.10/site-packages/torch/_dynamo/trace_rules.py", line 3378, in check
return check_verbose(obj, is_inlined_call).skipped
File "/venv/lib/python3.10/site-packages/torch/_dynamo/trace_rules.py", line 3361, in check_verbose
rule = torch._dynamo.trace_rules.lookup_inner(
File "/venv/lib/python3.10/site-packages/torch/_dynamo/trace_rules.py", line 3457, in lookup_inner
if check_file(filename, is_direct_call).skipped:
File "/venv/lib/python3.10/site-packages/torch/_dynamo/trace_rules.py", line 3279, in check_file
if any(filename.startswith(d) for d in get_legacy_mod_inlinelist()):
File "/venv/lib/python3.10/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 14698) is killed by signal: Killed.
Firstly, I had success using 500 training images and 100 validation images, but now I would like to train with a larger number of images.
Additionally, I attempted to fix PyTorch DataLoader. Could you please let me know where I can find the 'pin_memory=true' option in DINO repository?
I want to create a robust AI model, so ‘number of class‘ is set to 1.
The text was updated successfully, but these errors were encountered:
I tried to train DINO on an original combined dataset consisting of about 2000 training images and about 500 validation images.
However, I got the following error. Please tell me how to resolve it.
Firstly, I had success using 500 training images and 100 validation images, but now I would like to train with a larger number of images.
Additionally, I attempted to fix PyTorch DataLoader. Could you please let me know where I can find the 'pin_memory=true' option in DINO repository?
I want to create a robust AI model, so ‘number of class‘ is set to 1.
The text was updated successfully, but these errors were encountered: