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a315988bae
* Moved functions to pytorch_utils.py * isort formatting * Reverted tf changes * isort, make fix-copies * documentation fix * Fixed Conv1D import * Reverted research examples file * backward compatibility for pytorch_utils * missing import * isort fix
83 lines
2.2 KiB
Plaintext
83 lines
2.2 KiB
Plaintext
<!--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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specific language governing permissions and limitations under the License.
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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.TFSharedEmbeddings
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- call
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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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