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Make get_norm_layer repr test tolerant of PyTorch bias= field #8880

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Merged
ericspod merged 1 commit into from
May 28, 2026
Merged

Make get_norm_layer repr test tolerant of PyTorch bias= field #8880

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16 changes: 15 additions & 1 deletion tests/networks/layers/test_get_layers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,12 +11,26 @@

from __future__ import annotations

import re
import unittest

from parameterized import parameterized

from monai.networks.layers import get_act_layer, get_dropout_layer, get_norm_layer


def _strip_bias_field(text: str) -> str:
"""Strip the optional PyTorch >= 2.13 ``, bias=True|False`` repr fragment.

Args:
text: Layer string representation to normalize.

Returns:
The representation with any ``, bias=True|False`` removed.
"""
return re.sub(r",\s*bias=(?:True|False)", "", text)


TEST_CASE_NORM = [
[{"name": ("group", {"num_groups": 1})}, "GroupNorm(1, 1, eps=1e-05, affine=True)"],
[
Expand All @@ -41,7 +55,7 @@ class TestGetLayers(unittest.TestCase):
@parameterized.expand(TEST_CASE_NORM)
def test_norm_layer(self, input_param, expected):
layer = get_norm_layer(**input_param)
self.assertEqual(f"{layer}", expected)
self.assertEqual(_strip_bias_field(f"{layer}"), _strip_bias_field(expected))

@parameterized.expand(TEST_CASE_ACT)
def test_act_layer(self, input_param, expected):
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