# What does this PR do?

Fix #24650

This is to address the feature request #24650.

Although we have default values of bos/eos been corrected in #24773, the existing config on the Hub still have the incorrect value `1` and `2`, which prevents CLIP model to use new added tokens when a user add them.

Although we can open mass PRs on the Hub, I want to decouple (slightly) this with the ability to support such feature.
With this PR, if a user want to use new added tokens, they has to specify/update the `eos_token_id`.

**We don't need to wait all Hub repo. to be updated to merge this PR.**


Make CLIP model could use new added tokens with meaningful pooling. # What does this PR do?

Fix #24650

This is to address the feature request #24650.

Although we have default values of bos/eos been corrected in #24773, the existing config on the Hub still have the incorrect value `1` and `2`, which prevents CLIP model to use new added tokens when a user add them.

Although we can open mass PRs on the Hub, I want to decouple (slightly) this with the ability to support such feature.
With this PR, if a user want to use new added tokens, they has to specify/update the `eos_token_id`.

**We don't need to wait all Hub repo. to be updated to merge this PR.**


# coding=utf-8
# Copyright 2022 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 LayoutLMv3.
"""

import warnings

from ...utils import logging
from .image_processing_layoutlmv3 import LayoutLMv3ImageProcessor


logger = logging.get_logger(__name__)


class LayoutLMv3FeatureExtractor(LayoutLMv3ImageProcessor):
    def __init__(self, *args, **kwargs) -> None:
        warnings.warn(
            "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use LayoutLMv3ImageProcessor instead.",
            FutureWarning,
        )
        super().__init__(*args, **kwargs)

# coding=utf-8
# Copyright 2022 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 LayoutLMv3.
"""

import warnings

from ...utils import logging
from .image_processing_layoutlmv3 import LayoutLMv3ImageProcessor


logger = logging.get_logger(__name__)


class LayoutLMv3FeatureExtractor(LayoutLMv3ImageProcessor):
    def __init__(self, *args, **kwargs) -> None:
        warnings.warn(
            "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use LayoutLMv3ImageProcessor instead.",
            FutureWarning,
        )
        super().__init__(*args, **kwargs)
