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<! |
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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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the License. You may obtain a copy of the License at |
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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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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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