For warnings from tests/ignite/metrics/test_precision.py as I think those warnings are intended to warn.
In my thought, to fix those warnings, corner cases like (torch.zeros(size=(10,)), torch.randint(0, 2, size=(10,)), 1) should be deleted.
Is that correct? Or is there other methods to fix those warnings?

For warnings from tests/ignite/metrics/test_precision.py as I think those warnings are intended to warn.
In my thought, to fix those warnings, corner cases like (torch.zeros(size=(10,)), torch.randint(0, 2, size=(10,)), 1) should be deleted.

Can you point to the code what you are talking about ?

For warnings from tests/ignite/metrics/test_precision.py as I think those warnings are intended to warn.
In my thought, to fix those warnings, corner cases like (torch.zeros(size=(10,)), torch.randint(0, 2, size=(10,)), 1) should be deleted.

Can you point to the code what you are talking about ?

For this line, because it generates data with zeros,

it occurs error with being set to zero in

When I add zero_divion=1 like this precision_score(np_y, np_y_pred, average=sk_average_parameter, zero_division=1), it occurs error when comparing computed metric and reference.

@puhuk here is the link on why this corner case was added : #2007
So, we need to keep this test case. Why you set zero_division=1, have you tried zero_division=0 ?

No, I didn't because document says the default value is warn and it acts as 0 in https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html
But when I set with zero_division=0, those warning fixed.

@puhuk please fix code formatting with https://github.com/pytorch/ignite/blob/master/CONTRIBUTING.md#formatting-code

bash ./tests/run_code_style.sh fmt

@puhuk actually, there are still warnings:

1. about model weights : https://github.com/pytorch/ignite/runs/7903177538?check_suite_focus=true#step:15:1850 and https://github.com/pytorch/ignite/runs/7903177538?check_suite_focus=true#step:15:1856
2. "RuntimeWarning: y and y_pred should be of dtype long when entry type is binary and average!=False", https://github.com/pytorch/ignite/runs/7903177538?check_suite_focus=true#step:15:1844

Please fix them as well

Still some warings in https://github.com/pytorch/ignite/runs/7963618423?check_suite_focus=true#step:15:1826
Is it can be resolved in ignite?

Still some warings in https://github.com/pytorch/ignite/runs/7963618423?check_suite_focus=true#step:15:1826 Is it can be resolved in ignite?

No, these warnings are in installed packages, we can't do anything with them.