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

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

↓ 2,045 callersFunctionrequires_backends

(obj, backends)

src/transformers/src/transformers/utils/import_utils.py:1230

↓ 1,564 callersMethodinfo

(self, msg)

src/transformers/tests/trainer/test_trainer_utils.py:481

↓ 1,039 callersMethodsplit

Will look for the words added to the trie within `text`. Output is the original string splitted along the boundaries of the words fou

src/transformers/src/transformers/tokenization_utils.py:93

↓ 870 callersMethodfrom_pretrained

r""" Instantiate a [`ModelCard`] from a pre-trained model model card. Parameters: pretrained_model_name_or_path: either:

src/transformers/src/transformers/modelcard.py:126

↓ 858 callersMethoditems

(self)

src/transformers/src/transformers/feature_extraction_utils.py:112

↓ 796 callersMethodpop

(self, *args, **kwargs)

src/transformers/src/transformers/utils/generic.py:392

↓ 747 callersMethodto

(self, *args, **kwargs)

src/transformers/src/transformers/modeling_utils.py:2281

↓ 642 callersMethodkeys

Called when a proxy object is has the keys() method called. This is what happens when ** is called on a proxy. This should return an iterator

src/transformers/src/transformers/utils/fx.py:1177

↓ 504 callersMethodfrom_pretrained

(cls, pretrained_model_name_or_path: str, **kwargs)

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

↓ 396 callersMethodsave_pretrained

Save a model card object to the directory or file `save_directory_or_file`.

src/transformers/src/transformers/modelcard.py:114

↓ 331 callersMethodwrite

(self, msg)

src/transformers/scripts/benchmark/trainer-benchmark.py:139

↓ 330 callersMethodmean

Returns the mean of the distribution.

src/transformers/src/transformers/time_series_utils.py:42

↓ 328 callersFunctionmodel

r""" # Using torch.hub ! import torch model = torch.hub.load('huggingface/transformers', 'model', 'bert-base-unca

src/transformers/hubconf.py:73

↓ 300 callersMethodupdate

(self, *args, **kwargs)

src/transformers/src/transformers/utils/generic.py:395

↓ 291 callersMethodload

(module, prefix='')

src/modeling/bert/modeling_utils.py:483

↓ 284 callersMethodreplace

(original_file: str, line_to_copy_below: str, lines_to_copy: List[str])

src/transformers/src/transformers/commands/add_new_model.py:204

↓ 258 callersFunctionis_torch_available

()

src/transformers/src/transformers/utils/import_utils.py:256

↓ 253 callersMethodfloat

(self, *args)

src/transformers/src/transformers/modeling_utils.py:2318

↓ 238 callersFunctionpipeline

Utility factory method to build a [`Pipeline`]. Pipelines are made of: - A [tokenizer](tokenizer) in charge of mapping raw textual

src/transformers/src/transformers/pipelines/__init__.py:531

↓ 235 callersMethodsize

Number of byte required for this data type Returns: Integer > 0

src/transformers/src/transformers/onnx/utils.py:28

↓ 230 callersMethodgenerate

r""" Generates sequences of token ids for models with a language modeling head. <Tip warning={true}> Most generation-contro

src/transformers/src/transformers/generation/utils.py:1395

↓ 218 callersFunctionget_ptr

Get the ctypes pointer from a PyTorch Tensor. Parameters ---------- A : torch.tensor The PyTorch tensor. Returns --

src/bitsandbytes/bitsandbytes/functional.py:442

↓ 217 callersFunctiontokenizer

r""" # Using torch.hub ! import torch tokenizer = torch.hub.load('huggingface/transformers', 'tokenizer', 'bert-base-uncased'

src/transformers/hubconf.py:59

↓ 205 callersMethodvalues

(self)

src/transformers/src/transformers/feature_extraction_utils.py:108

↓ 203 callersMethoddetach

Need to document this

src/transformers/examples/research_projects/bertabs/modeling_bertabs.py:573

↓ 202 callersFunctionnested_simplify

Simplifies an object by rounding float numbers, and downcasting tensors/numpy arrays to get simple equality test within tests.

src/transformers/src/transformers/testing_utils.py:1908

↓ 183 callersMethoddecode

Uses the `post_processor` to decode the model output.

src/transformers/src/transformers/tools/base.py:552

↓ 163 callersMethodtime

(self)

src/transformers/utils/notification_service.py:147

↓ 153 callersMethodcopy

Creates a new instance of this constraint. Args: stateful(`bool`): Whether to not only copy the constraint for new insta

src/transformers/src/transformers/generation/beam_constraints.py:114

↓ 151 callersMethodencode

Uses the `pre_processor` to prepare the inputs for the `model`.

src/transformers/src/transformers/tools/base.py:539

↓ 150 callersMethodto

(self, device)

src/bitsandbytes/bitsandbytes/functional.py:769

↓ 131 callersMethodread

(self, n=-1)

src/transformers/src/transformers/commands/lfs.py:142

↓ 127 callersMethodtrain

Main training entry point. Args: resume_from_checkpoint (`str` or `bool`, *optional*): If a `str`, local

src/transformers/src/transformers/trainer.py:1429

↓ 126 callersFunctionis_tf_available

()

src/transformers/src/transformers/utils/import_utils.py:406

↓ 123 callersFunctionget_regression_trainer

( a=0, b=0, double_output=False, train_len=64, eval_len=64, pretrained=True, keep_report_to=False, **k

src/transformers/tests/trainer/test_trainer.py:362

↓ 123 callersMethodparse

Overwrites the `parse` method to incorporate a skip for CUDA tests, and remove logs and dataset prints before calling `super().parse`

src/transformers/src/transformers/testing_utils.py:2178

↓ 117 callersMethodhalf

(self, *args)

src/transformers/src/transformers/modeling_utils.py:2308

↓ 108 callersMethodcuda

(self, device: Optional[Union[int, device, str]] = None, non_blocking: bool = False)

src/bitsandbytes/bitsandbytes/nn/modules.py:303

↓ 104 callersMethodis_available

()

src/transformers/src/transformers/hyperparameter_search.py:111

↓ 103 callersMethodpush_to_hub

Upload `self.model` and `self.tokenizer` to the 🤗 model hub on the repo `self.args.hub_model_id`. Parameters: commit_mes

src/transformers/src/transformers/trainer.py:3572

↓ 101 callersMethodopen

(*args, **kwargs)

src/transformers/tests/pipelines/test_pipelines_image_to_text.py:45

↓ 100 callersMethodget_auto_remove_tmp_dir

Args: tmp_dir (`string`, *optional*): if `None`: - a unique temporary path will be created

src/transformers/src/transformers/testing_utils.py:1484

↓ 99 callersMethodcompile

This is a thin wrapper that sets the model's loss output head as the loss if the user does not specify a loss function themselves.

src/transformers/src/transformers/modeling_tf_utils.py:1500

↓ 99 callersMethoddevice

(self)

src/transformers/src/transformers/utils/fx.py:620

↓ 98 callersFunctionnext

src/bitsandbytes/include/Portable.h:166

↓ 88 callersMethodmain_process_first

A context manager for torch distributed environment where on needs to do something on the main process, while blocking replicas, and

src/transformers/src/transformers/training_args.py:2077

↓ 86 callersMethodparse_args_into_dataclasses

Parse command-line args into instances of the specified dataclass types. This relies on argparse's `ArgumentParser.parse_known_args`

src/transformers/src/transformers/hf_argparser.py:265

↓ 85 callersMethodprocess_index

The index of the current process used.

src/transformers/src/transformers/training_args.py:1988

↓ 84 callersMethodbatch_decode

Convert a list of lists of token ids into a list of strings by calling decode. Args: sequences (`Union[List[int], List[L

src/transformers/src/transformers/tokenization_utils_base.py:3686

↓ 83 callersMethodpad

(self, images)

src/transformers/examples/research_projects/lxmert/processing_image.py:87

↓ 82 callersMethodto

( self: T, device: Optional[Union[int, device]] = ..., dtype: Optional[Union[dtype, st

src/bitsandbytes/bitsandbytes/nn/modules.py:307

↓ 80 callersMethodlog

Log `logs` on the various objects watching training. Subclass and override this method to inject custom behavior. Args:

src/transformers/src/transformers/trainer.py:2604

↓ 79 callersMethodsave_metrics

(self, latest_metrics, type_path)

src/transformers/examples/research_projects/rag/finetune_rag.py:301

↓ 77 callersMethodbackward

(ctx, grad)

src/transformers/examples/research_projects/lxmert/modeling_frcnn.py:409

↓ 75 callersMethodconvert_tokens_to_ids

Converts a token string (or a sequence of tokens) in a single integer id (or a sequence of ids), using the vocabulary. Args:

src/transformers/src/transformers/tokenization_utils.py:630

↓ 74 callersMethodload_state_dict

Load an optimizer state. Arguments: state_dict (`dict`): An optimizer state (should be returned from a call to `s

src/bitsandbytes/bitsandbytes/optim/optimizer.py:156

↓ 72 callersMethodsave

Saves the relevant code files for your tool so it can be pushed to the Hub. This will copy the code of your tool in `output_dir` as w

src/transformers/src/transformers/tools/base.py:122

↓ 72 callersMethodtokenizer

(self, proto)

src/transformers/src/transformers/convert_slow_tokenizer.py:486

↓ 71 callersMethodencode_plus

Tokenize and prepare for the model a sequence or a pair of sequences. <Tip warning={true}> This method is deprecated, `__ca

src/transformers/src/transformers/tokenization_utils_base.py:2930

↓ 69 callersMethodbatch_encode_plus

Tokenize and prepare for the model a list of sequences or a list of pairs of sequences. <Tip warning={true}> This method is

src/transformers/src/transformers/tokenization_utils_base.py:3026

↓ 69 callersMethodcast

r"""Make a deep copy of value, casting all tensors to device of param.

src/bitsandbytes/bitsandbytes/optim/optimizer.py:187

↓ 67 callersMethodsave

(self, saveas=None)

src/transformers/examples/research_projects/lxmert/visualizing_image.py:194

↓ 66 callersMethod__init__

(self, shape, initializer, trainable, name, **kwargs)

src/transformers/templates/adding_a_new_model/cookiecutter-template-{{cookiecutter.modelname}}/modeling_tf_{{cookiecutter.lowercase_modelname}}.py:2655

↓ 66 callersMethodexpand_dims

Expands 2-dimensional `image` to 3 dimensions. Args: image (`PIL.Image.Image` or `np.ndarray` or `torch.Tensor`):

src/transformers/src/transformers/image_utils.py:419

↓ 64 callersFunctionflatten_dict

Flatten a nested dict into a single level dict.

src/transformers/src/transformers/utils/generic.py:545

↓ 62 callersMethodapply

Args: inputs (`torch.FloatTensor`) The input matrix from which the binarizer computes the binary mask.

src/transformers/examples/research_projects/movement-pruning/emmental/modules/binarizer.py:121

↓ 61 callersMethodparse_json_file

Alternative helper method that does not use `argparse` at all, instead loading a json file and populating the dataclass types.

src/transformers/src/transformers/hf_argparser.py:379

↓ 60 callersFunctionshape_list

Deal with dynamic shape in tensorflow cleanly. Args: tensor (`tf.Tensor` or `np.ndarray`): The tensor we want the shape of. Ret

src/transformers/src/transformers/tf_utils.py:26

↓ 59 callersFunctionrequire_version

Perform a runtime check of the dependency versions, using the exact same syntax used by pip. The installed module version comes from the *si

src/transformers/src/transformers/utils/versions.py:49

↓ 59 callersFunctionsend_example_telemetry

Sends telemetry that helps tracking the examples use. Args: example_name (`str`): The name of the example. *example_args (da

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

↓ 59 callersFunctionsupported_features_mapping

Generate the mapping between supported the features and their corresponding OnnxConfig for a given model. Args: *supported_features:

src/transformers/src/transformers/onnx/features.py:55

↓ 57 callersFunctionids_tensor

(shape, vocab_size, rng=None, name=None)

src/transformers/tests/test_modeling_common.py:3327

↓ 57 callersMethodzero_grad

(self)

src/transformers/examples/research_projects/bertabs/modeling_bertabs.py:1047

↓ 56 callersMethod_prepare_for_class

(self, inputs_dict, model_class, return_labels=False)

src/transformers/tests/test_modeling_common.py:173

↓ 56 callersMethodsize

src/bitsandbytes/include/AAlloc.h:67

↓ 55 callersMethodrun

Sends a request to the agent. Args: task (`str`): The task to perform return_code (`bool`, *optional*, defau

src/transformers/src/transformers/tools/agents.py:318

↓ 55 callersMethodtrain

The real training loop.

src/transformers/examples/research_projects/distillation/distiller.py:329

↓ 54 callersFunctioncheck_min_version

(min_version)

src/transformers/src/transformers/utils/__init__.py:231

↓ 52 callersMethodstride

(self)

src/transformers/examples/research_projects/lxmert/modeling_frcnn.py:802

↓ 51 callersFunction_is_package_available

(pkg_name: str, return_version: bool = False)

src/transformers/src/transformers/utils/import_utils.py:41

↓ 51 callersMethodadd

Passes over every char (utf-8 char) on word and recursively adds it to the internal `data` trie representation. The special key `""`

src/transformers/src/transformers/tokenization_utils.py:62

↓ 50 callersMethodget_tokenizers

(self, fast=True, **kwargs)

src/transformers/tests/test_tokenization_common.py:258

↓ 50 callersMethodsave_model

Will save the model, so you can reload it using `from_pretrained()`. Will only save from the main process.

src/transformers/src/transformers/trainer.py:2770

↓ 49 callersMethodclose

Closes the progress bar.

src/transformers/src/transformers/utils/notebook.py:199

↓ 49 callersMethodscalar

src/bitsandbytes/include/BinAlgo.h:16

↓ 48 callersMethodindex

src/bitsandbytes/include/Algo-Direct-Common.h:44

↓ 47 callersMethod_prepare_for_class

(self, inputs_dict, model_class, return_labels=False)

src/transformers/tests/test_modeling_tf_common.py:123

↓ 46 callersFunctionis_vision_available

()

src/transformers/src/transformers/utils/import_utils.py:693

↓ 45 callersFunctionis_main_process

Whether or not the current process is the local process, based on `xm.get_ordinal()` (for TPUs) first, then on `local_rank`.

src/transformers/src/transformers/trainer_utils.py:338

↓ 45 callersFunctionis_sagemaker_mp_enabled

()

src/transformers/src/transformers/utils/import_utils.py:771

↓ 45 callersMethodresize

Resizes `image`. Enforces conversion of input to PIL.Image. Args: image (`PIL.Image.Image` or `np.ndarray` or `torch.Ten

src/transformers/src/transformers/image_utils.py:485

↓ 44 callersFunctioncached_file

Tries to locate a file in a local folder and repo, downloads and cache it if necessary. Args: path_or_repo_id (`str` or `os.PathLike

src/transformers/src/transformers/utils/hub.py:260

↓ 44 callersFunctionids_tensor

Creates a random int32 tensor of the shape within the vocab size.

src/transformers/tests/generation/test_flax_utils.py:41

↓ 44 callersFunctionis_torch_tpu_available

Checks if `torch_xla` is installed and potentially if a TPU is in the environment

src/transformers/src/transformers/utils/import_utils.py:435

↓ 44 callersFunctionset_seed

(args)

src/transformers/examples/legacy/run_swag.py:225

↓ 43 callersMethodevaluate

Run evaluation and returns metrics. The calling script will be responsible for providing a method to compute metrics, as they are ta

src/transformers/src/transformers/trainer.py:2946

↓ 43 callersMethodstep

One optimization step: forward of student AND teacher, backward on the loss (for gradient accumulation), and possibly a parameter upd

src/transformers/examples/research_projects/distillation/distiller.py:371

↓ 41 callersMethodfrom_pretrained

Convenience method to build a `LocalAgent` from a pretrained checkpoint. Args: pretrained_model_name_or_path (`str` or `

src/transformers/src/transformers/tools/agents.py:705

↓ 41 callersFunctionget_last_checkpoint

(folder)

src/transformers/src/transformers/trainer_utils.py:196

↓ 41 callersFunctionis_flax_available

()

src/transformers/src/transformers/utils/import_utils.py:426

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