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# カスタムレイヤーとユーティリティ

このページには、ライブラリで使用されるすべてのカスタム レイヤーと、モデリングに提供されるユーティリティ関数がリストされます。

これらのほとんどは、ライブラリ内のモデルのコードを研究する場合にのみ役に立ちます。


## Pytorch custom modules

[[autodoc]] pytorch_utils.Conv1D

[[autodoc]] modeling_utils.PoolerStartLogits
    - forward

[[autodoc]] modeling_utils.PoolerEndLogits
    - forward

[[autodoc]] modeling_utils.PoolerAnswerClass
    - forward

[[autodoc]] modeling_utils.SquadHeadOutput

[[autodoc]] modeling_utils.SQuADHead
    - forward

[[autodoc]] modeling_utils.SequenceSummary
    - forward

## PyTorch Helper Functions

[[autodoc]] pytorch_utils.apply_chunking_to_forward

[[autodoc]] pytorch_utils.find_pruneable_heads_and_indices

[[autodoc]] pytorch_utils.prune_layer

[[autodoc]] pytorch_utils.prune_conv1d_layer

[[autodoc]] pytorch_utils.prune_linear_layer

## TensorFlow custom layers

[[autodoc]] modeling_tf_utils.TFConv1D

[[autodoc]] modeling_tf_utils.TFSequenceSummary

## TensorFlow loss functions

[[autodoc]] modeling_tf_utils.TFCausalLanguageModelingLoss

[[autodoc]] modeling_tf_utils.TFMaskedLanguageModelingLoss

[[autodoc]] modeling_tf_utils.TFMultipleChoiceLoss

[[autodoc]] modeling_tf_utils.TFQuestionAnsweringLoss

[[autodoc]] modeling_tf_utils.TFSequenceClassificationLoss

[[autodoc]] modeling_tf_utils.TFTokenClassificationLoss

## TensorFlow Helper Functions

[[autodoc]] modeling_tf_utils.get_initializer

[[autodoc]] modeling_tf_utils.keras_serializable

[[autodoc]] modeling_tf_utils.shape_list
