Replies: 2 comments
-
Hi @yhtanc, thanks for reporting this. Can you provide your full code so we could reproduce? |
Beta Was this translation helpful? Give feedback.
0 replies
-
I just adapted the "201_fastflow.ipynb" code to play a little bit the with
Spyder. I already created an environment
as told on github. I attached the code. I got the error when I try to fit
the engine.
Samet Akcay ***@***.***>, 4 Nis 2024 Per, 10:56 tarihinde
şunu yazdı:
… Hi @yhtanc <https://github.com/yhtanc>, thanks for reporting this. Can
you provide your full code so we could reproduce?
—
Reply to this email directly, view it on GitHub
<#1948 (comment)>,
or unsubscribe
<https://github.com/notifications/unsubscribe-auth/AS52TY7ADVHINTLZWCB5DXTY3UISHAVCNFSM6AAAAABFW2EAEWVHI2DSMVQWIX3LMV43SRDJONRXK43TNFXW4Q3PNVWWK3TUHM4TAMBXGAZTI>
.
You are receiving this because you were mentioned.Message ID:
***@***.***
com>
|
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
I am trying to run FastFlow model via Anomalib API. But I constantly get this error.
Is there something that I am missing on the code?
File ~\anomalib\src\anomalib\engine\engine.py:662 in test
return self.trainer.test(model, dataloaders, ckpt_path, verbose, datamodule)
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\trainer.py:754 in test
return call._call_and_handle_interrupt(
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\call.py:44 in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\trainer.py:794 in _test_impl
results = self._run(model, ckpt_path=ckpt_path)
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\trainer.py:950 in _run
call._call_setup_hook(self) # allow user to setup lightning_module in accelerator environment
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\call.py:93 in _call_setup_hook
_call_callback_hooks(trainer, "setup", stage=fn)
File ~\anaconda3\envs\anomalib_env\lib\site-packages\lightning\pytorch\trainer\call.py:208 in _call_callback_hooks
fn(trainer, trainer.lightning_module, *args, **kwargs)
File ~\anomalib\src\anomalib\callbacks\metrics.py:102 in setup
pl_module.pixel_metrics.add_metrics(new_metrics[name])
File ~\anaconda3\envs\anomalib_env\lib\site-packages\torchmetrics\collections.py:361 in add_metrics
raise ValueError(f"Encountered two metrics both named {name}")
ValueError: Encountered two metrics both named AUROC
Beta Was this translation helpful? Give feedback.
All reactions