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Functions11,352 in github.com/Aveiro-Lin/GraphiContact

⨍ Functions 11,352◇ Types & classes 3,603↳ Endpoints 52

src/bitsandbytes/bitsandbytes/functional.py:21

Prune a linear layer to keep only entries in index. Used to remove heads. Args: layer (`torch.nn.Linear`): The layer to prune.

src/transformers/src/transformers/pytorch_utils.py:54

↓ 5 callersMethodregister_forward_hook

(self)

src/transformers/src/transformers/debug_utils.py:239

↓ 5 callersFunctionreissue_pt_warnings

(caught_warnings)

src/transformers/src/transformers/trainer_pt_utils.py:234

↓ 5 callersMethodreplicate

(self)

src/transformers/examples/research_projects/jax-projects/hybrid_clip/run_hybrid_clip.py:267

↓ 5 callersMethodreset

Resets the state of this constraint to its initialization. We would call this in cases where the fulfillment of a constraint is abrup

src/transformers/src/transformers/generation/beam_constraints.py:95

↓ 5 callersMethodsave_checkpoint

Save the current state. Only by the master process.

src/transformers/examples/research_projects/distillation/distiller.py:591

↓ 5 callersFunctionsave_json

(content, path, indent=4, **json_dump_kwargs)

src/transformers/examples/research_projects/seq2seq-distillation/utils.py:449

↓ 5 callersMethodsave_to_json

Save the content of this instance in JSON format inside `json_path`.

src/transformers/src/transformers/trainer_callback.py:107

↓ 5 callersMethodsetUp

(self)

src/transformers/tests/quantization/bnb/test_mixed_int8.py:107

↓ 5 callersMethodset_epoch

(self, epoch)

src/transformers/src/transformers/trainer_pt_utils.py:797

↓ 5 callersFunctionset_quantizer_by_name

Set quantizer attributes for layers where name contains a substring in names.

src/transformers/examples/research_projects/quantization-qdqbert/quant_trainer.py:289

↓ 5 callersFunctionset_seed

(args)

src/transformers/examples/legacy/question-answering/run_squad.py:64

↓ 5 callersMethodshortname

(cls, params)

src/transformers/src/transformers/utils/hp_naming.py:114

↓ 5 callersFunctionsquad_convert_examples_to_features

Converts a list of examples into a list of features that can be directly given as input to a model. It is model-dependant and takes advantage

src/transformers/src/transformers/data/processors/squad.py:316

↓ 5 callersMethodtf_bernoulli

(shape, probability)

src/transformers/src/transformers/data/data_collator.py:653

↓ 5 callersMethodto_fp16

r""" Cast the floating-point `parmas` to `jax.numpy.float16`. This returns a new `params` tree and does not cast the `params` in place

src/transformers/src/transformers/modeling_flax_utils.py:395

↓ 5 callersMethodto_json_string

Serializes this instance to a JSON string. Args: use_diff (`bool`, *optional*, defaults to `True`): If s

src/transformers/src/transformers/generation/configuration_utils.py:862

↓ 5 callersMethodtraining_step

Perform a training step on a batch of inputs. Subclass and override to inject custom behavior. Args: model (`nn

src/transformers/src/transformers/trainer.py:2675

↓ 5 callersMethodupdate_state

(self, new_input, previous_layer_inputs)

src/transformers/examples/research_projects/bertabs/modeling_bertabs.py:625

↓ 5 callersMethodvalidate

Validates the values of the attributes of the [`GenerationConfig`] instance. Raises exceptions in the presence of parameterization th

src/transformers/src/transformers/generation/configuration_utils.py:352

↓ 4 callersMethod__getstate__

(self)

src/transformers/src/transformers/tokenization_utils_base.py:101

↓ 4 callersFunction__init__

(self, config)

src/transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_{{cookiecutter.lowercase_modelname}}.py:144

↓ 4 callersMethod__init__

(self, use_gelu_python: bool = False)

src/transformers/src/transformers/activations.py:67

↓ 4 callersMethod__init__

(self, chat_prompt_template=None, run_prompt_template=None, additional_tools=None)

src/transformers/src/transformers/tools/agents.py:214

↓ 4 callersMethod_beam_search_generate

( self, model, input_ids, attention_mask, max_length, beam_sco

src/transformers/tests/generation/test_utils.py:384

↓ 4 callersMethod_concatenate_batches

(batches, padding_index=-100)

src/transformers/src/transformers/keras_callbacks.py:144

↓ 4 callersFunction_config_zero_init

(config)

src/transformers/tests/test_modeling_common.py:119

↓ 4 callersMethod_expand_inputs_for_generation

Expands tensors from [batch_size, ...] to [batch_size * expand_size, ...] or [batch_size, expand_size, ...], depending on `expand_in_

src/transformers/src/transformers/generation/tf_utils.py:1135

↓ 4 callersMethod_feature_file

(self, mode)

src/transformers/examples/legacy/pytorch-lightning/lightning_base.py:189

↓ 4 callersFunction_find_timestamp_sequence

Computes the final sequences by merging the end of the nth sequence with the beginning of the n+1th sequence. Since `WhisperForConditionalGen

src/transformers/src/transformers/pipelines/automatic_speech_recognition.py:696

↓ 4 callersMethod_generate_random_bad_tokens

(self, num_bad_tokens, model)

src/transformers/tests/test_modeling_tf_common.py:1799

↓ 4 callersFunction_get_indent

Returns the indentation in the first line of t

src/transformers/src/transformers/utils/doc.py:79

↓ 4 callersMethod_get_padding_truncation_strategies

Find the correct padding/truncation strategy with backward compatibility for old arguments (truncation_strategy and pad_to_max_length

src/transformers/src/transformers/tokenization_utils_base.py:2590

↓ 4 callersMethod_get_warper_and_kwargs

(num_beams)

src/transformers/tests/generation/test_utils.py:171

↓ 4 callersFunction_graph_replace_input_with

(graph_proto, name, new_name)

src/transformers/examples/research_projects/onnx/summarization/bart_onnx/reduce_onnx_size.py:39

↓ 4 callersMethod_hp_search_setup

HP search setup code

src/transformers/src/transformers/trainer.py:1149

↓ 4 callersFunction_insert_values_as_list

(metadata, name, values)

src/transformers/src/transformers/modelcard.py:310

↓ 4 callersMethod_issue_warnings_after_load

(self, load_result)

src/transformers/src/transformers/trainer.py:2206

↓ 4 callersFunction_long_tensor

(tok_lst)

src/transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_flax_{{cookiecutter.lowercase_modelname}}.py:589

↓ 4 callersFunction_long_tensor

(tok_lst)

src/transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_{{cookiecutter.lowercase_modelname}}.py:768

↓ 4 callersFunction_long_tensor

(tok_lst)

src/transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/test_modeling_tf_{{cookiecutter.lowercase_modelname}}.py:891

↓ 4 callersFunction_maybe_round

(v, decimals=4)

src/transformers/src/transformers/modelcard.py:815

↓ 4 callersFunction_numpy_collate_batch

Collate `examples` into a batch, using the information in `tokenizer` for padding if necessary.

src/transformers/src/transformers/data/data_collator.py:476

↓ 4 callersMethod_pad_tensors_to_max_len

(self, tensor, max_length)

src/transformers/src/transformers/trainer_seq2seq.py:337

↓ 4 callersMethod_remove_unused_columns

(self, dataset: "datasets.Dataset", description: Optional[str] = None)

src/transformers/src/transformers/trainer.py:703

↓ 4 callersMethod_reorder_cache

(self, past_key_values, beam_idx)

src/transformers/src/transformers/generation/utils.py:885

↓ 4 callersMethod_run_finetune

(self, gpus: int, distributed_retriever: str = "pytorch")

src/transformers/examples/research_projects/rag/_test_finetune_rag.py:37

↓ 4 callersFunction_tf_collate_batch

(examples, tokenizer, pad_to_multiple_of: Optional[int] = None)

src/transformers/src/transformers/data/data_collator.py:438

↓ 4 callersMethodactive_adapter

(self)

src/transformers/src/transformers/integrations/peft.py:390

↓ 4 callersFunctionadd_model_info_to_auto_map

Adds the information of the repo_id to a given auto map.

src/transformers/src/transformers/utils/generic.py:662

↓ 4 callersMethodadd_model_specific_args

(parser, root_dir)

src/transformers/examples/research_projects/seq2seq-distillation/finetune.py:299

↓ 4 callersMethodadd_user_input

Add a user input to the conversation for the next round. This is a legacy method that assumes that inputs must alternate user/assista

src/transformers/src/transformers/pipelines/conversational.py:89

↓ 4 callersMethodadvance

When called, returns the token that would take this constraint one step closer to being fulfilled. Return: token_ids(`to

src/transformers/src/transformers/generation/beam_constraints.py:49

↓ 4 callersFunctionadvance_iter_and_group_samples

The training iterator is advanced so that after groupifying the samples, `num_samples` of length `max_seq_length` are returned.

src/transformers/examples/research_projects/jax-projects/dataset-streaming/run_mlm_flax_stream.py:278

↓ 4 callersFunctionapply_tesseract

Applies Tesseract OCR on a document image, and returns recognized words + normalized bounding boxes.

src/transformers/src/transformers/pipelines/document_question_answering.py:62

↓ 4 callersMethodas_tensor

(value)

src/transformers/src/transformers/feature_extraction_utils.py:138

↓ 4 callersFunctionassert_all_approx_close

(a, b, atol=1e-8, rtol=1e-5, count=10)

src/bitsandbytes/tests/test_modules.py:50

↓ 4 callersFunctionbackend_empty_cache

(device: str)

src/transformers/src/transformers/testing_utils.py:2288

↓ 4 callersFunctionbuild_mask

Builds the mask. The attention mechanism will only attend to positions with value 1.

src/transformers/examples/research_projects/bertabs/utils_summarization.py:121

↓ 4 callersMethodcheck_checkpoint_deletion

(self, trainer, output_dir, expected)

src/transformers/tests/trainer/test_trainer.py:1938

↓ 4 callersMethodcheck_default_pipeline

(self, task, framework, set_seed_fn, check_models_equal_fn)

src/transformers/tests/pipelines/test_pipelines_common.py:574

↓ 4 callersMethodcheck_device_map_is_respected

(self, model, device_map)

src/transformers/tests/test_modeling_common.py:2569

↓ 4 callersMethodcheck_inference_correctness

(self, model)

src/transformers/tests/quantization/bnb/test_mixed_int8.py:665

↓ 4 callersMethodcheck_iterable_dataset_shard

(self, dataset, batch_size, drop_last, num_processes=2, epoch=0)

src/transformers/tests/trainer/test_trainer_utils.py:303

↓ 4 callersFunctioncheck_missing_backends

Checks if all backends are installed (otherwise the check of this script is incomplete). Will error in the CI if that's not the case but only

src/transformers/utils/check_repo.py:329

↓ 4 callersMethodcheck_pt_flax_outputs

Args: model_class: The class of the model that is currently testing. For example, ..., etc. Currently unused, but it

src/transformers/tests/test_modeling_common.py:2175

↓ 4 callersMethodcheck_pt_flax_outputs

Args: model_class: The class of the model that is currently testing. For example, ..., etc. Currently unused, but it

src/transformers/tests/test_modeling_flax_common.py:183

↓ 4 callersMethodcheck_pt_tf_models

(self, tf_model, pt_model, pt_inputs_dict)

src/transformers/tests/test_modeling_common.py:2058

↓ 4 callersMethodcheck_pt_tf_models

(self, tf_model, pt_model, tf_inputs_dict)

src/transformers/tests/test_modeling_tf_common.py:594

↓ 4 callersMethodcheck_shard_sampler

(self, dataset, batch_size, drop_last, num_processes=2)

src/transformers/tests/trainer/test_trainer_utils.py:390

↓ 4 callersFunctioncheck_slow_torch_cuda

()

src/transformers/tests/utils/test_skip_decorators.py:55

↓ 4 callersMethodcompute_loss_context_manager

A helper wrapper to group together context managers.

src/transformers/src/transformers/trainer.py:2657

↓ 4 callersMethodconvert_batch_encode_plus_format_to_encode_plus

(batch_encode_plus_sequences)

src/transformers/tests/test_tokenization_common.py:383

↓ 4 callersFunctionconvert_examples_to_features

Loads a data file into a list of `InputBatch`s.

src/transformers/examples/legacy/run_swag.py:127

↓ 4 callersFunctionconvert_to_localized_md

Compare the model list from the main README to the one in a localized README. Args: model_list (`str`): The model list in the main R

src/transformers/utils/check_copies.py:473

↓ 4 callersFunctioncreate_and_fill_np_array

Create and fill numpy array of size len_of_validation_data * max_length_of_output_tensor Args: start_or_end_logits(:obj:

src/transformers/examples/pytorch/question-answering/run_qa_no_trainer.py:726

↓ 4 callersFunctioncreate_and_fill_np_array

Create and fill numpy array of size len_of_validation_data * max_length_of_output_tensor Args: start_or_end_logits(:obj:

src/transformers/examples/flax/question-answering/run_qa.py:816

↓ 4 callersFunctioncreate_dummy_object

Create the code for a dummy object. Args: name (`str`): The name of the object. backend_name (`str`): The name of the backen

src/transformers/utils/check_dummies.py:139

↓ 4 callersFunctioncreate_dynamic_map

Creates the dynamic quantiztion map. The dynamic data type is made up of a dynamic exponent and fraction. As the exponent increase from

src/bitsandbytes/bitsandbytes/functional.py:339

↓ 4 callersMethodcreate_optimizer_and_scheduler

Setup the optimizer and the learning rate scheduler. We provide a reasonable default that works well. If you want to use something e

src/transformers/src/transformers/trainer.py:893

↓ 4 callersFunctioncreate_reverse_dependency_map

Create the dependency map from module/test filename to the list of modules/tests that depend on it recursively. Returns: `Dict[str,

src/transformers/utils/tests_fetcher.py:862

↓ 4 callersFunctiondeepspeed_config

()

src/transformers/src/transformers/integrations/deepspeed.py:263

↓ 4 callersMethoddequant

(xq, S1, S2, dtype, quant_type)

src/bitsandbytes/tests/test_modules.py:92

↓ 4 callersFunctiondraw_skeleton

joints is 3 x 19. but if not will transpose it. 0: Right ankle 1: Right knee 2: Right hip 3: Left hip 4: Left knee 5: Lef

src/utils/renderer.py:30

↓ 4 callersFunctionevaluate

(eval_iter)

src/transformers/examples/legacy/run_transfo_xl.py:101

↓ 4 callersFunctionevaluate

(args, model, tokenizer, prefix="", output_layer=-1, eval_highway=False)

src/transformers/examples/research_projects/deebert/run_glue_deebert.py:240

↓ 4 callersMethodfetch

(self, tokenizer, text)

src/transformers/tests/tokenization/test_tokenization_fast.py:241

↓ 4 callersFunctionfind_backend

Find one (or multiple) backend in a code line of the init. Args: line (`str`): A code line of the main init. Returns: O

src/transformers/utils/check_inits.py:73

↓ 4 callersFunctionflip_kp

Flip keypoints.

src/utils/image_ops.py:180

↓ 4 callersMethodformat_prompt

(self, task, chat_mode=False)

src/transformers/src/transformers/tools/agents.py:246

↓ 4 callersMethodfreeze

(self)

src/transformers/examples/research_projects/lxmert/modeling_frcnn.py:813

↓ 4 callersMethodfrom_pretrained

r"""Instantiate a pretrained pytorch model from a pre-trained model configuration. The model is set in evaluation mode by default using `

src/modeling/bert/modeling_utils.py:338

↓ 4 callersMethodfrom_pretrained

(cls, pretrained_model_name_or_path: str, **kwargs)

src/transformers/examples/research_projects/visual_bert/utils.py:177

↓ 4 callersMethodfrom_str

Creates an instance of the right subclass of [`~pipelines.PipelineDataFormat`] depending on `format`. Args: format (`str

src/transformers/src/transformers/pipelines/base.py:513

↓ 4 callersFunctionftoi

src/bitsandbytes/include/SIMD.h:300

↓ 4 callersMethodgenerate_one

(self, prompt, stop)

src/transformers/src/transformers/tools/agents.py:355

↓ 4 callersFunctionget_all_tests

Walks the `tests` folder to return a list of files/subfolders. This is used to split the tests to run when using paralellism. The split is:

src/transformers/utils/tests_fetcher.py:178

↓ 4 callersFunctionget_checkpoint_dir

Get framework-agnostic architecture name. Used to save all PT/TF/Flax models into the same directory.

src/transformers/utils/create_dummy_models.py:740

↓ 4 callersMethodget_config

(self, gindex, pindex, group)

src/bitsandbytes/bitsandbytes/optim/optimizer.py:296

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