77abd1e79f
* Logging * Style * hf_logging > utils.logging * Address @thomwolf's comments * Update test * Update src/transformers/benchmark/benchmark_utils.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Revert bad change Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
42 lines
1.5 KiB
Python
42 lines
1.5 KiB
Python
# coding=utf-8
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# Copyright (c) Facebook, Inc. and its affiliates.
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# Copyright (c) HuggingFace Inc. team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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""" MMBT configuration """
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from .utils import logging
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logger = logging.get_logger(__name__)
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class MMBTConfig(object):
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"""Configuration class to store the configuration of a `MMBT Model`.
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Args:
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config (:obj:`~transformers.PreTrainedConfig`):
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Config of the underlying Transformer models. Its values are
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copied over to use a single config.
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num_labels (:obj:`int` or :obj:`None`, optional, defaults to `None`):
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Size of final Linear layer for classification.
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modal_hidden_size (:obj:`int`, optional, defautls to 2048):
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Embedding dimension of the non-text modality encoder.
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"""
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def __init__(self, config, num_labels=None, modal_hidden_size=2048):
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self.__dict__ = config.__dict__
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self.modal_hidden_size = modal_hidden_size
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if num_labels:
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self.num_labels = num_labels
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