# What does this PR do?

This PR fixes the last batch of models that are too big for common tests. After it, only two classes override the common test to skip it:
- timm-backbone
- layoutlmv2
In the first case, it's because there is no timm model small enough to work (I did switch to the smallest resnet though) and in the second detectron2 does not let us configure a smaller backbone (I did try with the constant exposed by they don't seem to have any effect).
Fix last models for common tests that are too big.. # What does this PR do?

This PR fixes the last batch of models that are too big for common tests. After it, only two classes override the common test to skip it:
- timm-backbone
- layoutlmv2
In the first case, it's because there is no timm model small enough to work (I did switch to the smallest resnet though) and in the second detectron2 does not let us configure a smaller backbone (I did try with the constant exposed by they don't seem to have any effect).
# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Feature extractor class for LayoutLMv2.
"""

import warnings

from ...utils import logging
from .image_processing_layoutlmv2 import LayoutLMv2ImageProcessor


logger = logging.get_logger(__name__)


class LayoutLMv2FeatureExtractor(LayoutLMv2ImageProcessor):
    def __init__(self, *args, **kwargs) -> None:
        warnings.warn(
            "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use LayoutLMv2ImageProcessor instead.",
            FutureWarning,
        )
        super().__init__(*args, **kwargs)

# coding=utf-8
# Copyright 2021 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Feature extractor class for LayoutLMv2.
"""

import warnings

from ...utils import logging
from .image_processing_layoutlmv2 import LayoutLMv2ImageProcessor


logger = logging.get_logger(__name__)


class LayoutLMv2FeatureExtractor(LayoutLMv2ImageProcessor):
    def __init__(self, *args, **kwargs) -> None:
        warnings.warn(
            "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use LayoutLMv2ImageProcessor instead.",
            FutureWarning,
        )
        super().__init__(*args, **kwargs)
