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

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

↓ 6 callersMethodget_labels

(self, path: str)

src/transformers/examples/legacy/token-classification/tasks.py:58

↓ 6 callersMethodget_position_embeddings

(self)

src/transformers/src/transformers/modeling_utils.py:1824

↓ 6 callersFunctionget_some_linear_layer

(model)

src/transformers/tests/quantization/bnb/test_mixed_int8.py:44

↓ 6 callersMethodget_state_buffer

(self, p, dtype=torch.float32)

src/bitsandbytes/bitsandbytes/optim/optimizer.py:319

↓ 6 callersMethodhyperparameter_search

Launch an hyperparameter search using `optuna` or `Ray Tune` or `SigOpt`. The optimized quantity is determined by `compute_objective`

src/transformers/src/transformers/trainer.py:2525

↓ 6 callersMethodinit_retrieval

(self)

src/transformers/examples/research_projects/rag/distributed_ray_retriever.py:28

↓ 6 callersFunctionis_key_or_prefix_key_in_dict

Checks if `key` of `(prefix,) + key` is in random_flax_state_dict

src/transformers/src/transformers/modeling_flax_pytorch_utils.py:89

↓ 6 callersFunctionis_optimum_available

()

src/transformers/src/transformers/utils/import_utils.py:665

↓ 6 callersFunctionis_psutil_available

()

src/transformers/src/transformers/utils/import_utils.py:530

↓ 6 callersFunctionload

(module: nn.Module, state_dict, prefix="")

src/transformers/src/transformers/modeling_utils.py:547

↓ 6 callersMethodload_from_json

Create an instance from the content of `json_path`.

src/transformers/src/transformers/trainer_callback.py:114

↓ 6 callersMethodlog

(self, logs)

src/transformers/tests/trainer/test_trainer.py:700

↓ 6 callersFunctionmain

(args, model=None)

src/transformers/examples/research_projects/seq2seq-distillation/finetune.py:387

↓ 6 callersFunctionmake_test_data_dir

(tmp_dir)

src/transformers/examples/legacy/seq2seq/old_test_datasets.py:46

↓ 6 callersFunctionprecision_recall_f1score

Compute precision, recall, and f1

src/utils/metrics.py:19

↓ 6 callersMethodprepare_beam_scorer

(self, **kwargs)

src/transformers/tests/generation/test_beam_search.py:65

↓ 6 callersMethodprepare_inputs

(self)

src/transformers/tests/generation/test_beam_search.py:75

↓ 6 callersFunctionprint_dedented

(text)

src/bitsandbytes/bitsandbytes/diagnostics/utils.py:11

↓ 6 callersMethodprune_heads

Prunes heads of the base model. Arguments: heads_to_prune (`Dict[int, List[int]]`): Dictionary with keys

src/transformers/src/transformers/modeling_utils.py:1847

↓ 6 callersFunctionretrieve_info_for_model

Retrieves all the information from a given model_type. Args: model_type (`str`): A valid model type (like "bert" or "gpt2")

src/transformers/src/transformers/commands/add_new_model_like.py:767

↓ 6 callersFunctionrotateY

(points, angle)

src/utils/renderer.py:23

↓ 6 callersMethodrun_and_check

( self, stage, dtype, model_name: str = T5_SMALL, eval_steps: int = 10

src/transformers/tests/deepspeed/test_deepspeed.py:1005

↓ 6 callersMethodrun_seq2seq_quick

( self, distributed=False, extra_args_str=None, predict_with_generate=True,

src/transformers/tests/extended/test_trainer_ext.py:57

↓ 6 callersFunctionstrtobool

Convert a string representation of truth to true (1) or false (0). True values are 'y', 'yes', 't', 'true', 'on', and '1'; false values are 'n',

src/transformers/src/transformers/utils/generic.py:60

↓ 6 callersMethodtest

Tests whether this constraint has been properly defined.

src/transformers/src/transformers/generation/beam_constraints.py:24

↓ 6 callersMethodto_dict

Serializes this instance to a Python dictionary. Returns: `Dict[str, Any]`: Dictionary of all the attributes that make u

src/transformers/src/transformers/configuration_utils.py:869

↓ 6 callersMethodto_json_file

Save this instance to a json file.

src/transformers/src/transformers/modelcard.py:249

↓ 6 callersFunctiontolist

(x)

src/transformers/src/transformers/data/data_collator.py:508

↓ 6 callersMethodtrain_new_from_iterator

Trains a tokenizer on a new corpus with the same defaults (in terms of special tokens or tokenization pipeline) as the current one.

src/transformers/src/transformers/tokenization_utils_fast.py:687

↓ 6 callersMethodwords

Return a list mapping the tokens to their actual word in the initial sentence for a fast tokenizer. Args: batch_index (`

src/transformers/src/transformers/tokenization_utils_base.py:343

↓ 5 callersMethod__init__

(self, config)

src/modeling/bert/modeling_graphormer.py:299

↓ 5 callersMethod__init__

Base Lion optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize. l

src/bitsandbytes/bitsandbytes/optim/lion.py:9

↓ 5 callersMethod__init__

Base AdamW optimizer. Arguments: params (`torch.tensor`): The input parameters to optimize.

src/bitsandbytes/bitsandbytes/optim/adamw.py:9

↓ 5 callersMethod__init__

(self, config)

src/transformers/src/transformers/modeling_utils.py:4400

↓ 5 callersMethod_create_examples

Creates examples for the training, dev and test sets.

src/transformers/src/transformers/data/processors/glue.py:449

↓ 5 callersMethod_get_word_embedding_weight

(model, embedding_layer)

src/transformers/src/transformers/modeling_tf_utils.py:2033

↓ 5 callersFunction_listify

(obj)

src/transformers/src/transformers/modelcard.py:301

↓ 5 callersMethod_load_datasamples

(self, num_samples)

src/transformers/tests/utils/test_audio_utils.py:253

↓ 5 callersFunction_print_list

Pretty print a list of elements with one line per element and a - starting each line.

src/transformers/utils/tests_fetcher.py:977

↓ 5 callersMethod_save

(self, output_dir: Optional[str] = None, state_dict=None)

src/transformers/src/transformers/trainer.py:2849

↓ 5 callersFunction_split_model_outputs

Given the (decoder/cross attentions)/(decoder hidden states) for multiple generated tokens, splits it into a tuple where each member correspo

src/transformers/src/transformers/generation/utils.py:4820

↓ 5 callersMethod_test_distiller_cli

(self, updates, check_contents=True)

src/transformers/examples/research_projects/seq2seq-distillation/_test_seq2seq_examples.py:239

↓ 5 callersFunction_torch_collate_batch

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

src/transformers/src/transformers/data/data_collator.py:402

↓ 5 callersMethod_update_model_kwargs_for_generation

( self, outputs: ModelOutput, model_kwargs: Dict[str, Any], is_encoder_decoder: bool = False )

src/transformers/src/transformers/generation/tf_utils.py:1278

↓ 5 callersMethod_update_model_kwargs_for_xla_generation

( self, model_outputs: ModelOutput, model_kwargs: Dict[str, Any], cur_len: int

src/transformers/src/transformers/generation/tf_utils.py:1294

↓ 5 callersMethodactive_adapters

If you are not familiar with adapters and PEFT methods, we invite you to read more about them on the PEFT official documentation: htt

src/transformers/src/transformers/integrations/peft.py:358

↓ 5 callersMethodanalyze_directory

Runs through the specific directory, looking for the files identified with `identifier`. Executes the doctests in those files

src/transformers/tests/utils/test_doc_samples.py:35

↓ 5 callersMethodassertListAlmostEqual

(self, list1, list2, tol)

src/transformers/tests/optimization/test_optimization_tf.py:31

↓ 5 callersFunctionassert_most_approx_close

(a, b, rtol=1e-3, atol=1e-3, max_error_count=0)

src/bitsandbytes/tests/test_optim.py:20

↓ 5 callersMethodassert_outputs_same

(self, after_outputs, outputs)

src/transformers/tests/test_modeling_tf_common.py:407

↓ 5 callersMethodbeam_search

r""" Generates sequences of token ids for models with a language modeling head using **beam search decoding** and can be used for text

src/transformers/src/transformers/generation/utils.py:2955

↓ 5 callersMethodbuild

(self, input_shape=None)

src/transformers/src/transformers/modeling_tf_utils.py:1132

↓ 5 callersFunctioncached_path

Given something that might be a URL (or might be a local path), determine which. If it's a URL, download the file and cache it, and retur

src/modeling/bert/file_utils.py:93

↓ 5 callersMethodcall

( self, input_ids=None, past_key_values=None,

src/transformers/tests/test_modeling_tf_utils.py:136

↓ 5 callersFunctioncenter_crop

Crops the `image` to the specified `size` using a center crop. Note that if the image is too small to be cropped to the size given, it will b

src/transformers/src/transformers/image_transforms.py:407

↓ 5 callersMethodcheck_best_model_has_been_loaded

( self, output_dir, freq, total, trainer, metric, greater_is_better=False, is_pretrained=True, safe_we

src/transformers/tests/trainer/test_trainer.py:418

↓ 5 callersMethodcheck_inference_correctness

r""" Test the generation quality of the quantized model and see that we are matching the expected output. Given that we are operating

src/transformers/tests/quantization/gptq/test_gptq.py:186

↓ 5 callersFunctioncheckout_commit

Context manager that checks out a given commit when entered, but gets back to the reference it was at on exit. Args: repo (`git.Repo

src/transformers/utils/tests_fetcher.py:101

↓ 5 callersFunctioncompute_heads_importance

This method shows how to compute: - head attention entropy - head importance scores according to http://arxiv.org/abs/1905.10650

src/transformers/examples/research_projects/bertology/run_bertology.py:69

↓ 5 callersFunctioncompute_heads_importance

This method shows how to compute: - head attention entropy - head importance scores according to http://arxiv.org/abs/1905.10650

src/transformers/examples/research_projects/bertology/run_prune_gpt.py:59

↓ 5 callersFunctioncompute_perplexity

Computes perplexity of the transformer model on data in test_data Args: model: Pre-trained GPT2 model test_data: Data on whi

src/transformers/examples/research_projects/information-gain-filtration/igf/igf.py:35

↓ 5 callersFunctionconvert_tf_checkpoint_to_pytorch

(tf_hub_path, pytorch_dump_path, is_encoder_named_decoder, vocab_size, is_encoder)

src/transformers/src/transformers/convert_tf_hub_seq_to_seq_bert_to_pytorch.py:33

↓ 5 callersFunctionduplicate_doc_file

Duplicate a documentation file and adapts it for a new model. Args: module_file (`str` or `os.PathLike`): Path to the doc file to du

src/transformers/src/transformers/commands/add_new_model_like.py:1175

↓ 5 callersFunctionevaluate

Evaluate a model checkpoint on the given evaluation data.

src/transformers/examples/research_projects/self-training-text-classification/finetuning.py:420

↓ 5 callersFunctionevaluate

(example)

src/transformers/examples/research_projects/jax-projects/big_bird/evaluate.py:108

↓ 5 callersFunctionexport

Export a Pytorch or TensorFlow model to an ONNX Intermediate Representation (IR) Args: preprocessor: ([`PreTrainedTokenizer`], [`Fea

src/transformers/src/transformers/onnx/convert.py:285

↓ 5 callersFunctionfind_indent

Returns the number of spaces that start a line indent.

src/transformers/utils/check_docstrings.py:810

↓ 5 callersFunctionflip_channel_order

Flips the channel order of the image. If the image is in RGB format, it will be converted to BGR and vice versa. Args: image (`

src/transformers/src/transformers/image_transforms.py:766

↓ 5 callersFunctionfn

(*args, **kwargs)

src/transformers/src/transformers/tools/base.py:588

↓ 5 callersMethodfrom_model_config

Instantiate a OnnxConfig for a specific model Args: config: The model's configuration to use when exporting to ONNX

src/transformers/src/transformers/onnx/config.py:128

↓ 5 callersMethodget2

src/bitsandbytes/include/SIMD.h:176

↓ 5 callersMethodget3

src/bitsandbytes/include/SIMD.h:177

↓ 5 callersMethodget_clean_sequence

(self, tokenizer, with_prefix_space=False, max_length=20, min_length=5)

src/transformers/tests/test_tokenization_common.py:230

↓ 5 callersFunctionget_cuda_bnb_library_path

Get the disk path to the CUDA BNB native library specified by the given CUDA specs, taking into account the `BNB_CUDA_VERSION` override envir

src/bitsandbytes/bitsandbytes/cextension.py:32

↓ 5 callersFunctionget_image_size

Returns the (height, width) dimensions of the image. Args: image (`np.ndarray`): The image to get the dimensions of.

src/transformers/src/transformers/image_utils.py:216

↓ 5 callersMethodget_instance

(cls)

src/bitsandbytes/bitsandbytes/utils.py:78

↓ 5 callersMethodget_instance

(cls)

src/bitsandbytes/bitsandbytes/functional.py:145

↓ 5 callersMethodget_iterator

( self, inputs, num_workers: int, batch_size: int, preprocess_params, forward_params, postprocess_para

src/transformers/src/transformers/pipelines/base.py:1052

↓ 5 callersMethodget_key

(self, idx)

src/utils/tsv_file.py:84

↓ 5 callersFunctionget_norm

(norm, out_channels)

src/transformers/examples/research_projects/visual_bert/modeling_frcnn.py:158

↓ 5 callersFunctionget_norm

(norm, out_channels)

src/transformers/examples/research_projects/lxmert/modeling_frcnn.py:158

↓ 5 callersMethodget_output_embeddings

Returns the model's output embeddings Returns: `tf.Variable`: The new weights mapping vocabulary to hidden states.

src/transformers/src/transformers/modeling_tf_utils.py:1875

↓ 5 callersFunctionget_torch_dist_unique_port

Returns a port number that can be fed to `torch.distributed.launch`'s `--master_port` argument. Under `pytest-xdist` it adds a delta number

src/transformers/src/transformers/testing_utils.py:1896

↓ 5 callersFunctionget_world_size

()

src/utils/comm.py:16

↓ 5 callersMethodhp_space

(trial)

src/transformers/tests/trainer/test_trainer.py:2540

↓ 5 callersFunctionid_tensor_storage

Unique identifier to a tensor storage. Multiple different tensors can share the same underlying storage. For example, "meta" tensors all shar

src/transformers/src/transformers/pytorch_utils.py:283

↓ 5 callersFunctionint8_matmul_rowwise_dequantize

(a, b, state_x, state_w, bias)

src/bitsandbytes/bitsandbytes/triton/int8_matmul_rowwise_dequantize.py:7

↓ 5 callersFunctionis_deepspeed_available

()

src/transformers/src/transformers/integrations/deepspeed.py:35

↓ 5 callersFunctionis_sentencepiece_available

()

src/transformers/src/transformers/utils/import_utils.py:641

↓ 5 callersFunctionis_tensorflow_text_available

()

src/transformers/src/transformers/utils/import_utils.py:719

↓ 5 callersFunctionload_json

(path)

src/transformers/examples/research_projects/seq2seq-distillation/utils.py:454

↓ 5 callersFunctionmake_choice_type_function

Creates a mapping function from each choices string representation to the actual value. Used to support multiple value types for a single arg

src/transformers/src/transformers/hf_argparser.py:47

↓ 5 callersMethodnum_examples

Helper to get number of samples in a [`~torch.utils.data.DataLoader`] by accessing its dataset. When dataloader.dataset does not exis

src/transformers/src/transformers/trainer.py:1119

↓ 5 callersMethodnum_special_tokens_to_add

(self, pair: bool = False)

src/transformers/src/transformers/tokenization_utils_base.py:2587

↓ 5 callersFunctionpadding_tensor

(sequences, padding_value, padding_side, sequence_length)

src/transformers/examples/research_projects/luke/luke_utils.py:12

↓ 5 callersMethodpredict

Run prediction and returns predictions and potential metrics. Depending on the dataset and your use case, your test dataset may cont

src/transformers/src/transformers/trainer_seq2seq.py:168

↓ 5 callersMethodprepare_for_model

Prepares a sequence of input id, or a pair of sequences of inputs ids so that it can be used by the model. It adds special tokens, tr

src/transformers/src/transformers/tokenization_utils_base.py:3342

↓ 5 callersMethodprepare_inputs_for_generation

(self, *args, **kwargs)

src/transformers/src/transformers/generation/tf_utils.py:472

↓ 5 callersFunctionprint_2d_tensor

Print a 2D tensor

src/transformers/examples/research_projects/bertology/run_bertology.py:59

↓ 5 callersFunctionprint_2d_tensor

Print a 2D tensor

src/transformers/examples/research_projects/bertology/run_prune_gpt.py:49

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