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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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15
tests/models/levit/test_modeling_levit.py
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@@ -21,7 +21,6 @@ from math import ceil, floor
from transformers import LevitConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from ...test_configuration_common import ConfigTester
@@ -33,12 +32,14 @@ if is_torch_available():
import torch
from transformers import (
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING,
MODEL_MAPPING,
LevitForImageClassification,
LevitForImageClassificationWithTeacher,
LevitModel,
)
from transformers.models.auto.modeling_auto import (
MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES,
MODEL_MAPPING_NAMES,
)
from transformers.models.levit.modeling_levit import LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST
@@ -297,7 +298,7 @@ class LevitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
for model_class in self.all_model_classes:
# LevitForImageClassificationWithTeacher supports inference-only
if (
model_class in get_values(MODEL_MAPPING)
model_class.__name__ in MODEL_MAPPING_NAMES.values()
or model_class.__name__ == "LevitForImageClassificationWithTeacher"
):
continue
@@ -317,7 +318,7 @@ class LevitModelTest(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
# LevitForImageClassificationWithTeacher supports inference-only
if model_class.__name__ == "LevitForImageClassificationWithTeacher":
@@ -341,9 +342,9 @@ class LevitModelTest(ModelTesterMixin, PipelineTesterMixin, unittest.TestCase):
for model_class in self.all_model_classes:
if (
model_class
model_class.__name__
not in [
*get_values(MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING),
*MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES.values(),
]
or model_class.__name__ == "LevitForImageClassificationWithTeacher"
):