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Fix typos in strings and comments (#37799)

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This commit is contained in:
co63oc
2025-04-28 18:39:11 +08:00
committed by GitHub
parent f466603963
commit d5fa7d2d19
136 changed files with 202 additions and 202 deletions
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6
tests/models/sam/test_modeling_sam.py
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@@ -236,13 +236,13 @@ class SamVisionModelTest(ModelTesterMixin, unittest.TestCase):
pass
@unittest.skip(
reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
reason="This architecture seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
)
def test_training_gradient_checkpointing_use_reentrant(self):
pass
@unittest.skip(
reason="This architecure seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
reason="This architecture seem to not compute gradients properly when using GC, check: https://github.com/huggingface/transformers/pull/27124"
)
def test_training_gradient_checkpointing_use_reentrant_false(self):
pass
@@ -668,7 +668,7 @@ class SamModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
def test_sdpa_can_dispatch_composite_models(self):
"""
Tests if composite models dispatch correctly on SDPA/eager when requested so when loading the model.
This tests only by looking at layer names, as usually SDPA layers are calles "SDPAAttention".
This tests only by looking at layer names, as usually SDPA layers are called "SDPAAttention".
In contrast to the above test, this one checks if the "config._attn_implamentation" is a dict after the model
is loaded, because we manually replicate requested attn implementation on each sub-config when loading.
See https://github.com/huggingface/transformers/pull/32238 for more info