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| #!/usr/bin/env python | |
| # coding=utf-8 | |
| # Copyright 2021 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from huggingface_hub import get_full_repo_name # for backward compatibility | |
| from packaging import version | |
| from .. import __version__ | |
| from .constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, IMAGENET_STANDARD_MEAN, IMAGENET_STANDARD_STD | |
| from .doc import ( | |
| add_code_sample_docstrings, | |
| add_end_docstrings, | |
| add_start_docstrings, | |
| add_start_docstrings_to_model_forward, | |
| copy_func, | |
| replace_return_docstrings, | |
| ) | |
| from .generic import ( | |
| ContextManagers, | |
| ExplicitEnum, | |
| ModelOutput, | |
| PaddingStrategy, | |
| TensorType, | |
| add_model_info_to_auto_map, | |
| cached_property, | |
| can_return_loss, | |
| expand_dims, | |
| find_labels, | |
| flatten_dict, | |
| infer_framework, | |
| is_jax_tensor, | |
| is_numpy_array, | |
| is_tensor, | |
| is_tf_symbolic_tensor, | |
| is_tf_tensor, | |
| is_torch_device, | |
| is_torch_dtype, | |
| is_torch_tensor, | |
| reshape, | |
| squeeze, | |
| strtobool, | |
| tensor_size, | |
| to_numpy, | |
| to_py_obj, | |
| transpose, | |
| working_or_temp_dir, | |
| ) | |
| from .hub import ( | |
| CLOUDFRONT_DISTRIB_PREFIX, | |
| DISABLE_TELEMETRY, | |
| HF_MODULES_CACHE, | |
| HUGGINGFACE_CO_PREFIX, | |
| HUGGINGFACE_CO_RESOLVE_ENDPOINT, | |
| PYTORCH_PRETRAINED_BERT_CACHE, | |
| PYTORCH_TRANSFORMERS_CACHE, | |
| S3_BUCKET_PREFIX, | |
| TRANSFORMERS_CACHE, | |
| TRANSFORMERS_DYNAMIC_MODULE_NAME, | |
| EntryNotFoundError, | |
| PushInProgress, | |
| PushToHubMixin, | |
| RepositoryNotFoundError, | |
| RevisionNotFoundError, | |
| cached_file, | |
| default_cache_path, | |
| define_sagemaker_information, | |
| download_url, | |
| extract_commit_hash, | |
| get_cached_models, | |
| get_file_from_repo, | |
| has_file, | |
| http_user_agent, | |
| is_offline_mode, | |
| is_remote_url, | |
| move_cache, | |
| send_example_telemetry, | |
| try_to_load_from_cache, | |
| ) | |
| from .import_utils import ( | |
| ENV_VARS_TRUE_AND_AUTO_VALUES, | |
| ENV_VARS_TRUE_VALUES, | |
| TORCH_FX_REQUIRED_VERSION, | |
| USE_JAX, | |
| USE_TF, | |
| USE_TORCH, | |
| DummyObject, | |
| OptionalDependencyNotAvailable, | |
| _LazyModule, | |
| ccl_version, | |
| direct_transformers_import, | |
| get_torch_version, | |
| is_accelerate_available, | |
| is_apex_available, | |
| is_auto_gptq_available, | |
| is_bitsandbytes_available, | |
| is_bs4_available, | |
| is_coloredlogs_available, | |
| is_cv2_available, | |
| is_cython_available, | |
| is_datasets_available, | |
| is_decord_available, | |
| is_detectron2_available, | |
| is_essentia_available, | |
| is_faiss_available, | |
| is_flash_attn_available, | |
| is_flax_available, | |
| is_fsdp_available, | |
| is_ftfy_available, | |
| is_in_notebook, | |
| is_ipex_available, | |
| is_jieba_available, | |
| is_jinja_available, | |
| is_jumanpp_available, | |
| is_kenlm_available, | |
| is_keras_nlp_available, | |
| is_levenshtein_available, | |
| is_librosa_available, | |
| is_natten_available, | |
| is_ninja_available, | |
| is_nltk_available, | |
| is_onnx_available, | |
| is_openai_available, | |
| is_optimum_available, | |
| is_pandas_available, | |
| is_peft_available, | |
| is_phonemizer_available, | |
| is_pretty_midi_available, | |
| is_protobuf_available, | |
| is_psutil_available, | |
| is_py3nvml_available, | |
| is_pyctcdecode_available, | |
| is_pytesseract_available, | |
| is_pytest_available, | |
| is_pytorch_quantization_available, | |
| is_rjieba_available, | |
| is_sacremoses_available, | |
| is_safetensors_available, | |
| is_sagemaker_dp_enabled, | |
| is_sagemaker_mp_enabled, | |
| is_scipy_available, | |
| is_sentencepiece_available, | |
| is_seqio_available, | |
| is_sklearn_available, | |
| is_soundfile_availble, | |
| is_spacy_available, | |
| is_speech_available, | |
| is_sudachi_available, | |
| is_tensorflow_probability_available, | |
| is_tensorflow_text_available, | |
| is_tf2onnx_available, | |
| is_tf_available, | |
| is_timm_available, | |
| is_tokenizers_available, | |
| is_torch_available, | |
| is_torch_bf16_available, | |
| is_torch_bf16_cpu_available, | |
| is_torch_bf16_gpu_available, | |
| is_torch_compile_available, | |
| is_torch_cuda_available, | |
| is_torch_fx_available, | |
| is_torch_fx_proxy, | |
| is_torch_mps_available, | |
| is_torch_neuroncore_available, | |
| is_torch_npu_available, | |
| is_torch_tensorrt_fx_available, | |
| is_torch_tf32_available, | |
| is_torch_tpu_available, | |
| is_torch_xpu_available, | |
| is_torchaudio_available, | |
| is_torchdistx_available, | |
| is_torchdynamo_available, | |
| is_torchvision_available, | |
| is_training_run_on_sagemaker, | |
| is_vision_available, | |
| requires_backends, | |
| torch_only_method, | |
| ) | |
| from .peft_utils import ( | |
| ADAPTER_CONFIG_NAME, | |
| ADAPTER_SAFE_WEIGHTS_NAME, | |
| ADAPTER_WEIGHTS_NAME, | |
| check_peft_version, | |
| find_adapter_config_file, | |
| ) | |
| WEIGHTS_NAME = "pytorch_model.bin" | |
| WEIGHTS_INDEX_NAME = "pytorch_model.bin.index.json" | |
| TF2_WEIGHTS_NAME = "tf_model.h5" | |
| TF2_WEIGHTS_INDEX_NAME = "tf_model.h5.index.json" | |
| TF_WEIGHTS_NAME = "model.ckpt" | |
| FLAX_WEIGHTS_NAME = "flax_model.msgpack" | |
| FLAX_WEIGHTS_INDEX_NAME = "flax_model.msgpack.index.json" | |
| SAFE_WEIGHTS_NAME = "model.safetensors" | |
| SAFE_WEIGHTS_INDEX_NAME = "model.safetensors.index.json" | |
| CONFIG_NAME = "config.json" | |
| FEATURE_EXTRACTOR_NAME = "preprocessor_config.json" | |
| IMAGE_PROCESSOR_NAME = FEATURE_EXTRACTOR_NAME | |
| GENERATION_CONFIG_NAME = "generation_config.json" | |
| MODEL_CARD_NAME = "modelcard.json" | |
| SENTENCEPIECE_UNDERLINE = "▁" | |
| SPIECE_UNDERLINE = SENTENCEPIECE_UNDERLINE # Kept for backward compatibility | |
| MULTIPLE_CHOICE_DUMMY_INPUTS = [ | |
| [[0, 1, 0, 1], [1, 0, 0, 1]] | |
| ] * 2 # Needs to have 0s and 1s only since XLM uses it for langs too. | |
| DUMMY_INPUTS = [[7, 6, 0, 0, 1], [1, 2, 3, 0, 0], [0, 0, 0, 4, 5]] | |
| DUMMY_MASK = [[1, 1, 1, 1, 1], [1, 1, 1, 0, 0], [0, 0, 0, 1, 1]] | |
| def check_min_version(min_version): | |
| if version.parse(__version__) < version.parse(min_version): | |
| if "dev" in min_version: | |
| error_message = ( | |
| "This example requires a source install from HuggingFace Transformers (see " | |
| "`https://huggingface.co/docs/transformers/installation#install-from-source`)," | |
| ) | |
| else: | |
| error_message = f"This example requires a minimum version of {min_version}," | |
| error_message += f" but the version found is {__version__}.\n" | |
| raise ImportError( | |
| error_message | |
| + "Check out https://github.com/huggingface/transformers/tree/main/examples#important-note for the examples corresponding to other " | |
| "versions of HuggingFace Transformers." | |
| ) | |