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Byebye test_batching_equivalence's flakiness (#35729)

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* fix

* fix

* skip

* better error message

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2025-01-21 13:11:33 +01:00
committed by GitHub
parent 78f5ee0217
commit fd8d61fdb2
18 changed files with 92 additions and 50 deletions
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8
tests/models/timm_backbone/test_modeling_timm_backbone.py
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@@ -18,7 +18,7 @@ import inspect
import unittest
from transformers import AutoBackbone
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.testing_utils import is_flaky, require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available
from ...test_backbone_common import BackboneTesterMixin
@@ -115,6 +115,12 @@ class TimmBackboneModelTest(ModelTesterMixin, BackboneTesterMixin, PipelineTeste
def test_config(self):
self.config_tester.run_common_tests()
@is_flaky(
description="`TimmBackbone` has no `_init_weights`. Timm's way of weight init. seems to give larger magnitude in the intermediate values during `forward`."
)
def test_batching_equivalence(self):
super().test_batching_equivalence()
def test_timm_transformer_backbone_equivalence(self):
timm_checkpoint = "resnet18"
transformers_checkpoint = "microsoft/resnet-18"