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chore: fix typos in the tests directory (#36813)

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* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* chore: fix typos in the tests

* fix: format codes

* chore: fix copy mismatch issue

* fix: format codes

* chore: fix copy mismatch issue

* chore: fix copy mismatch issue

* chore: fix copy mismatch issue

* chore: restore previous words

* chore: revert unexpected changes
This commit is contained in:
Afanti
2025-03-21 17:20:05 +08:00
committed by GitHub
parent 0adbc873d0
commit 26c83490d2
78 changed files with 181 additions and 148 deletions
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6
tests/models/blip_2/test_modeling_blip_2.py
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@@ -521,7 +521,7 @@ class Blip2ForConditionalGenerationDecoderOnlyTest(ModelTesterMixin, GenerationT
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
@@ -970,7 +970,7 @@ class Blip2ModelTest(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
@@ -1647,7 +1647,7 @@ class Blip2TextRetrievalModelTest(ModelTesterMixin, unittest.TestCase):
model = model_class(config=configs_no_init)
for name, param in model.named_parameters():
if param.requires_grad:
# check if `logit_scale` is initilized as per the original implementation
# check if `logit_scale` is initialized as per the original implementation
if name == "logit_scale":
self.assertAlmostEqual(
param.data.item(),