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Functions3,725 in github.com/XiangLi1999/PrefixTuning

⨍ Functions 3,725◇ Types & classes 1,052↳ Endpoints 47
↓ 3 callersMethodsplit_heads
(self, x, k=False)
transformers/src/transformers/modeling_openai.py:207
↓ 3 callersMethodsplit_into_heads
(self, x, batch_size)
transformers/src/transformers/modeling_ctrl.py:122
↓ 3 callersMethodsplit_into_heads
(self, x, batch_size)
transformers/src/transformers/modeling_tf_ctrl.py:104
↓ 3 callersMethodsub_keys
(self, layer_prefix)
transformers/src/transformers/convert_marian_to_pytorch.py:642
↓ 3 callersMethodtie_weights
Tie the weights between the input embeddings and the output embeddings. If the :obj:`torchscript` flag is set in the configuration,
transformers/src/transformers/modeling_utils.py:466
↓ 3 callersMethodto_dict
Serializes this instance to a Python dictionary. Returns: :obj:`Dict[str, Any]`: Dictionary of all the attributes that m
transformers/src/transformers/configuration_utils.py:474
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_electra.py:82
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_albert.py:229
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_mobilebert.py:274
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_lxmert.py:319
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_lxmert.py:339
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_bert.py:229
↓ 3 callersMethodtranspose_for_scores
(self, x, batch_size)
transformers/src/transformers/modeling_tf_roberta.py:260
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_bert.py:226
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_albert.py:270
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_mobilebert.py:242
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_roberta.py:162
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_layoutlm.py:141
↓ 3 callersMethodtranspose_for_scores
(self, x)
transformers/src/transformers/modeling_electra.py:216
↓ 3 callersFunctionverify
(path: Path)
transformers/src/transformers/convert_graph_to_onnx.py:410
↓ 3 callersFunctionwrite_e2e_corr
(prompt_lst, file_dict, corr_path)
gpt2/run_generation.py:358
↓ 2 callersMethod__getstate__
(self)
transformers/src/transformers/tokenization_utils_base.py:219
↓ 2 callersMethod__init__
( self, config: Optional[PretrainedConfig] = None, question_encoder: Optional[PreTrain
transformers/src/transformers/modeling_rag.py:466
↓ 2 callersMethod__init__
(self, out=True, err=True)
transformers/src/transformers/testing_utils.py:248
↓ 2 callersMethod__init__
(self, config, transformer, encoder)
transformers/src/transformers/modeling_mmbt.py:188
↓ 2 callersMethod__init__
(self, hparams, **kwargs)
seq2seq/finetune.py:724
↓ 2 callersMethod__init__
Initialize a model, tokenizer and config.
seq2seq/lightning_base.py:441
↓ 2 callersMethod_add_eos_if_not_present
Do not add eos again if user already added it.
transformers/src/transformers/tokenization_t5.py:181
↓ 2 callersMethod_chunk
convert into overlapping chunkings. Chunk size = 2w, overlap size = w
transformers/src/transformers/modeling_tf_longformer.py:837
↓ 2 callersMethod_chunk
convert into overlapping chunkings. Chunk size = 2w, overlap size = w
transformers/src/transformers/modeling_longformer.py:437
↓ 2 callersFunction_compute_global_attention_mask
Computes global attention mask by putting attention on all tokens before `sep_token_id` if `before_sep_token is True` else after `sep_tok
transformers/src/transformers/modeling_longformer.py:81
↓ 2 callersMethod_compute_nb_instances
(batch)
transformers/src/transformers/trainer_tf.py:692
↓ 2 callersFunction_compute_softmax
Compute softmax probability over raw logits.
transformers/src/transformers/data/metrics/squad_metrics.py:349
↓ 2 callersMethod_convert_id_to_token
(self, index: int)
transformers/src/transformers/tokenization_utils.py:725
↓ 2 callersMethod_convert_token_to_id_with_added_voc
(self, token: str)
transformers/src/transformers/tokenization_utils_fast.py:199
↓ 2 callersMethod_convert_token_to_id_with_added_voc
(self, token)
transformers/src/transformers/tokenization_utils.py:392
↓ 2 callersMethod_create_examples
(self, input_data, set_type)
transformers/src/transformers/data/processors/squad.py:625
↓ 2 callersFunction_create_next_token_logits_penalties
(input_ids, logits, repetition_penalty)
transformers/src/transformers/generation_tf_utils.py:894
↓ 2 callersMethod_decay_weights_op
(self, var, learning_rate, apply_state)
transformers/src/transformers/optimization_tf.py:217
↓ 2 callersMethod_dict_from_json_file
(cls, json_file: str)
transformers/src/transformers/configuration_utils.py:440
↓ 2 callersMethod_forward
Internal framework specific forward dispatching. Args: inputs: dict holding all the keyworded arguments for required by t
transformers/src/transformers/pipelines.py:643
↓ 2 callersMethod_gather_by_expansion
expand dims of idxs and vectors for all hashes and gather
transformers/src/transformers/modeling_reformer.py:977
↓ 2 callersMethod_gather_logprob
(logprob, target)
transformers/src/transformers/modeling_tf_transfo_xl_utilities.py:117
↓ 2 callersMethod_generate_beam_search
Generate sequences for each example with beam search.
transformers/src/transformers/generation_utils.py:649
↓ 2 callersMethod_generate_no_beam_search
Generate sequences for each example without beam search (num_beams == 1). All returned sequence are generated independantly.
transformers/src/transformers/generation_utils.py:536
↓ 2 callersMethod_generative_step
(self, batch: dict)
seq2seq/finetune.py:241
↓ 2 callersMethod_generative_step
(self, batch: dict)
seq2seq/finetune.py:568
↓ 2 callersFunction_get_best_indexes
Get the n-best logits from a list.
transformers/src/transformers/data/metrics/squad_metrics.py:337
↓ 2 callersMethod_get_eval_sampler
(self, eval_dataset: Dataset)
transformers/src/transformers/trainer_prefix.py:480
↓ 2 callersMethod_get_eval_sampler
(self, eval_dataset: Dataset)
transformers/src/transformers/trainer.py:359
↓ 2 callersMethod_get_eval_sampler
(self, eval_dataset: Dataset)
gpt2/trainer_prefix.py:412
↓ 2 callersFunction_get_indent
Returns the indentation in the first line of t
transformers/src/transformers/file_utils.py:247
↓ 2 callersFunction_get_least_common_mult_chunk_len
(config)
transformers/src/transformers/modeling_reformer.py:81
↓ 2 callersFunction_get_library_name
()
transformers/src/transformers/utils/logging.py:62
↓ 2 callersMethod_get_lr
Retrieves the learning rate with the given state.
transformers/src/transformers/optimization_tf.py:230
↓ 2 callersMethod_get_step_inputs
(batch, nb_instances)
transformers/src/transformers/trainer_tf.py:703
↓ 2 callersMethod_init_weights
Initialize the weights
transformers/src/transformers/modeling_lxmert.py:789
↓ 2 callersMethod_measure_memory
(self, func: Callable[[], None])
transformers/src/transformers/benchmark/benchmark.py:224
↓ 2 callersMethod_measure_memory
(self, func: Callable[[], None])
transformers/src/transformers/benchmark/benchmark_tf.py:232
↓ 2 callersMethod_measure_speed
(self, func)
transformers/src/transformers/benchmark/benchmark.py:196
↓ 2 callersMethod_measure_speed
(self, func)
transformers/src/transformers/benchmark/benchmark_tf.py:213
↓ 2 callersMethod_merge_hidden_size_dims
merges attn_head_size dim and num_attn_heads dim into hidden_size
transformers/src/transformers/modeling_reformer.py:305
↓ 2 callersMethod_pad
Pad encoded inputs (on left/right and up to predefined legnth or max length in the batch) Args: encoded_inputs: Dictiona
transformers/src/transformers/tokenization_utils_base.py:2606
↓ 2 callersMethod_parse_and_tokenize
Parse arguments and tokenize
transformers/src/transformers/pipelines.py:791
↓ 2 callersMethod_parse_labels
(self, labels)
transformers/src/transformers/pipelines.py:998
↓ 2 callersFunction_parse_readme
Get link and metadata from opus model card equivalent.
transformers/src/transformers/convert_marian_to_pytorch.py:443
↓ 2 callersMethod_prepare_inference_func
(self, model_name: str, batch_size: int, sequence_length: int)
transformers/src/transformers/benchmark/benchmark.py:81
↓ 2 callersMethod_prepare_inference_func
(self, model_name: str, batch_size: int, sequence_length: int)
transformers/src/transformers/benchmark/benchmark_tf.py:125
↓ 2 callersMethod_prepare_inputs
Prepare :obj:`inputs` before feeding them to the model, converting them to tensors if they are not already and handling potential sta
transformers/src/transformers/trainer.py:1079
↓ 2 callersMethod_prepare_inputs
Prepare :obj:`inputs` before feeding them to the model, converting them to tensors if they are not already and handling potential sta
gpt2/trainer_prefix.py:1118
↓ 2 callersFunction_prepare_output_docstrings
Prepares the return part of the docstring using `output_type`.
transformers/src/transformers/file_utils.py:279
↓ 2 callersMethod_prepare_train_func
(self, model_name: str, batch_size: int, sequence_length: int)
transformers/src/transformers/benchmark/benchmark.py:138
↓ 2 callersMethod_prepare_train_func
(self, model_name: str, batch_size: int, sequence_length: int)
transformers/src/transformers/benchmark/benchmark_tf.py:165
↓ 2 callersFunction_reorder_buffer
(attn_cache, new_order)
transformers/src/transformers/modeling_bart.py:693
↓ 2 callersMethod_report_to_hp_search
( self, trial: Union["optuna.Trial", Dict[str, Any]], epoch: int, metrics: Dict[str, float] )
transformers/src/transformers/trainer.py:595
↓ 2 callersMethod_report_to_hp_search
( self, trial: Union["optuna.Trial", Dict[str, Any]], epoch: int, metrics: Dict[str, float] )
gpt2/trainer_prefix.py:633
↓ 2 callersMethod_rms
(tensor)
transformers/src/transformers/optimization.py:433
↓ 2 callersMethod_rotate_checkpoints
(self, use_mtime=False)
transformers/src/transformers/trainer.py:1290
↓ 2 callersMethod_rotate_checkpoints
(self, use_mtime=False)
gpt2/trainer_prefix.py:1385
↓ 2 callersMethod_run_strip_accents
Strips accents from a piece of text.
transformers/src/transformers/tokenization_bert.py:423
↓ 2 callersMethod_setup_normalizer
(self)
transformers/src/transformers/tokenization_marian.py:86
↓ 2 callersMethod_sliding_chunks_matmul_attn_probs_value
Same as _sliding_chunks_query_key_matmul but for attn_probs and value tensors. Returned tensor will be of the same shape as `attn_probs`
transformers/src/transformers/modeling_tf_longformer.py:718
↓ 2 callersMethod_sliding_chunks_matmul_attn_probs_value
Same as _sliding_chunks_query_key_matmul but for attn_probs and value tensors. Returned tensor will be of the same shape as `attn_probs`
transformers/src/transformers/modeling_longformer.py:532
↓ 2 callersMethod_sliding_chunks_query_key_matmul
Matrix multiplication of query and key tensors using with a sliding window attention pattern. This implementation splits the input into overla
transformers/src/transformers/modeling_tf_longformer.py:579
↓ 2 callersMethod_sliding_chunks_query_key_matmul
Matrix multiplication of query and key tensors using with a sliding window attention pattern. This implementation splits the input into overla
transformers/src/transformers/modeling_longformer.py:468
↓ 2 callersFunction_stable_argsort
(vector, dim)
transformers/src/transformers/modeling_reformer.py:72
↓ 2 callersMethod_step
(self, batch: dict)
seq2seq/finetune.py:152
↓ 2 callersMethod_step
(self, batch: dict)
seq2seq/finetune.py:497
↓ 2 callersFunction_strip_spaces
(text)
transformers/src/transformers/data/metrics/squad_metrics.py:271
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:146
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:233
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:285
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:374
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:459
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:778
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:994
↓ 2 callersMethod_tensorize_batch
( self, examples: List[Union[List[int], torch.Tensor, Dict[str, torch.Tensor]]] )
transformers/src/transformers/data/data_collator.py:1076
↓ 2 callersMethod_tie_encoder_decoder_weights
(encoder: nn.Module, decoder: nn.Module, base_model_prefix: str)
transformers/src/transformers/modeling_utils.py:481
↓ 2 callersMethod_tokenize
Converts a string in a sequence of tokens (string), using the tokenizer. Split in words for word-based vocabulary or sub-words for su
transformers/src/transformers/tokenization_utils.py:360
↓ 2 callersMethod_tune_save_checkpoint
(self)
transformers/src/transformers/trainer.py:610
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