mirror of
https://github.com/huggingface/transformers.git
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df3f4d2aef
* Fix T5 for graphe compilation+execution * Fix BART * Fix import * Fix naming * fix attribute name * Oops * fix import * fix tests * fix tests * Update test * Add mising import * Address Patrick's comments * Style * Address Patrick's comment
99 lines
3.4 KiB
ReStructuredText
99 lines
3.4 KiB
ReStructuredText
..
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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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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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-----------------------------------------------------------------------------------------------------------------------
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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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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.modeling_utils.Conv1D
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.. autoclass:: transformers.modeling_utils.PoolerStartLogits
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:members: forward
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.. autoclass:: transformers.modeling_utils.PoolerEndLogits
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:members: forward
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.. autoclass:: transformers.modeling_utils.PoolerAnswerClass
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:members: forward
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.. autoclass:: transformers.modeling_utils.SquadHeadOutput
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.. autoclass:: transformers.modeling_utils.SQuADHead
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:members: forward
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.. autoclass:: transformers.modeling_utils.SequenceSummary
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:members: forward
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PyTorch Helper Functions
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autofunction:: transformers.apply_chunking_to_forward
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.. autofunction:: transformers.modeling_utils.find_pruneable_heads_and_indices
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.. autofunction:: transformers.modeling_utils.prune_layer
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.. autofunction:: transformers.modeling_utils.prune_conv1d_layer
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.. autofunction:: transformers.modeling_utils.prune_linear_layer
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TensorFlow custom layers
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.modeling_tf_utils.TFConv1D
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.. autoclass:: transformers.modeling_tf_utils.TFSharedEmbeddings
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:members: call
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.. autoclass:: transformers.modeling_tf_utils.TFSequenceSummary
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:members: call
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TensorFlow loss functions
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.modeling_tf_utils.TFCausalLanguageModelingLoss
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:members:
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.. autoclass:: transformers.modeling_tf_utils.TFMaskedLanguageModelingLoss
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:members:
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.. autoclass:: transformers.modeling_tf_utils.TFMultipleChoiceLoss
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:members:
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.. autoclass:: transformers.modeling_tf_utils.TFQuestionAnsweringLoss
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:members:
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.. autoclass:: transformers.modeling_tf_utils.TFSequenceClassificationLoss
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:members:
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.. autoclass:: transformers.modeling_tf_utils.TFTokenClassificationLoss
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:members:
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TensorFlow Helper Functions
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autofunction:: transformers.modeling_tf_utils.get_initializer
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.. autofunction:: transformers.modeling_tf_utils.keras_serializable
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.. autofunction:: transformers.modeling_tf_utils.shape_list
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