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# 自定义层和工具

此页面列出了库使用的所有自定义层，以及它为模型提供的实用函数。

其中大多数只有在您研究库中模型的代码时才有用。


## Pytorch自定义模块

[[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帮助函数

[[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自定义层

[[autodoc]] modeling_tf_utils.TFConv1D

[[autodoc]] modeling_tf_utils.TFSequenceSummary

## TensorFlow loss 函数

[[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帮助函数

[[autodoc]] modeling_tf_utils.get_initializer

[[autodoc]] modeling_tf_utils.keras_serializable

[[autodoc]] modeling_tf_utils.shape_list
