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Avoid using uncessary get_values(MODEL_MAPPING) (#29362)

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* more fixes

* more fixes

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
This commit is contained in:
Yih-Dar
2024-02-29 17:19:17 +08:00
committed by GitHub
parent b647acdb53
commit 44fe1a1cc4
14 changed files with 94 additions and 85 deletions
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19
tests/models/deit/test_modeling_deit.py
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@@ -19,7 +19,6 @@ import unittest
import warnings
from transformers import DeiTConfig
from transformers.models.auto import get_values
from transformers.testing_utils import (
require_accelerate,
require_torch,
@@ -41,14 +40,16 @@ if is_torch_available():
from torch import nn
from transformers import (
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING,
MODEL_MAPPING,
DeiTForImageClassification,
DeiTForImageClassificationWithTeacher,
DeiTForMaskedImageModeling,
DeiTModel,
)
from transformers.models.auto.modeling_auto import (
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES,
MODEL_MAPPING_NAMES,
)
from transformers.models.deit.modeling_deit import DEIT_PRETRAINED_MODEL_ARCHIVE_LIST
@@ -269,7 +270,7 @@ class DeiTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
for model_class in self.all_model_classes:
# DeiTForImageClassificationWithTeacher supports inference-only
if (
model_class in get_values(MODEL_MAPPING)
model_class.__name__ in MODEL_MAPPING_NAMES.values()
or model_class.__name__ == "DeiTForImageClassificationWithTeacher"
):
continue
@@ -289,7 +290,7 @@ class DeiTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
config.return_dict = True
for model_class in self.all_model_classes:
if model_class in get_values(MODEL_MAPPING) or not model_class.supports_gradient_checkpointing:
if model_class.__name__ in MODEL_MAPPING_NAMES.values() or not model_class.supports_gradient_checkpointing:
continue
# DeiTForImageClassificationWithTeacher supports inference-only
if model_class.__name__ == "DeiTForImageClassificationWithTeacher":
@@ -325,10 +326,10 @@ class DeiTModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
for model_class in self.all_model_classes:
if (
model_class
model_class.__name__
not in [
*get_values(MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING),
*get_values(MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING),
*MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES.values(),
*MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES.values(),
]
or model_class.__name__ == "DeiTForImageClassificationWithTeacher"
):