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* Rename index.mdx to index.md * With saved modifs * Address review comment * Treat all files * .mdx -> .md * Remove special char * Update utils/tests_fetcher.py Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr> --------- Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
84 lines
2.3 KiB
Markdown
84 lines
2.3 KiB
Markdown
<!--Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
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# Custom Layers and Utilities
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This page lists all the custom layers used by the library, as well as the utility functions it provides for modeling.
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Most of those are only useful if you are studying the code of the models in the library.
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## Pytorch custom modules
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[[autodoc]] pytorch_utils.Conv1D
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[[autodoc]] modeling_utils.PoolerStartLogits
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- forward
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[[autodoc]] modeling_utils.PoolerEndLogits
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- forward
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[[autodoc]] modeling_utils.PoolerAnswerClass
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- forward
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[[autodoc]] modeling_utils.SquadHeadOutput
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[[autodoc]] modeling_utils.SQuADHead
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- forward
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[[autodoc]] modeling_utils.SequenceSummary
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- forward
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## PyTorch Helper Functions
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[[autodoc]] pytorch_utils.apply_chunking_to_forward
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[[autodoc]] pytorch_utils.find_pruneable_heads_and_indices
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[[autodoc]] pytorch_utils.prune_layer
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[[autodoc]] pytorch_utils.prune_conv1d_layer
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[[autodoc]] pytorch_utils.prune_linear_layer
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## TensorFlow custom layers
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[[autodoc]] modeling_tf_utils.TFConv1D
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[[autodoc]] modeling_tf_utils.TFSequenceSummary
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## TensorFlow loss functions
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[[autodoc]] modeling_tf_utils.TFCausalLanguageModelingLoss
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[[autodoc]] modeling_tf_utils.TFMaskedLanguageModelingLoss
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[[autodoc]] modeling_tf_utils.TFMultipleChoiceLoss
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[[autodoc]] modeling_tf_utils.TFQuestionAnsweringLoss
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[[autodoc]] modeling_tf_utils.TFSequenceClassificationLoss
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[[autodoc]] modeling_tf_utils.TFTokenClassificationLoss
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## TensorFlow Helper Functions
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[[autodoc]] modeling_tf_utils.get_initializer
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[[autodoc]] modeling_tf_utils.keras_serializable
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[[autodoc]] modeling_tf_utils.shape_list
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