python_env/lib/site-packages/peft/utils/__init__.py

# Copyright 2023-present the HuggingFace Inc. team.
#
# 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 .integrations import map_cache_to_layer_device_map
from .loftq_utils import replace_lora_weights_loftq
from .other import (
    CONFIG_NAME,
    INCLUDE_LINEAR_LAYERS_SHORTHAND,
    SAFETENSORS_WEIGHTS_NAME,
    TRANSFORMERS_MODELS_TO_ADALORA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_BOFT_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_BONE_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_C3A_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_DELORA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_FOURIERFT_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_HRA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_IA3_FEEDFORWARD_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_IA3_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_LNTUNING_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_LOHA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_LOKR_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_LORA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_MISS_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_OFT_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_POLY_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_PREFIX_TUNING_POSTPROCESS_MAPPING,
    TRANSFORMERS_MODELS_TO_RANDLORA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_ROAD_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_SHIRA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_VBLORA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_VERA_TARGET_MODULES_MAPPING,
    TRANSFORMERS_MODELS_TO_WAVEFT_TARGET_MODULES_MAPPING,
    WEIGHTS_NAME,
    AuxiliaryTrainingWrapper,
    ModulesToSaveWrapper,
    TrainableTokensWrapper,
    _freeze_adapter,
    _get_batch_size,
    _get_input_embeddings_name,
    _get_submodules,
    _is_valid_match,
    _prepare_prompt_learning_config,
    _set_adapter,
    _set_trainable,
    bloom_model_postprocess_past_key_value,
    cast_mixed_precision_params,
    get_auto_gptq_quant_linear,
    get_gptqmodel_quant_linear,
    get_quantization_config,
    id_tensor_storage,
    infer_device,
    prepare_model_for_kbit_training,
    set_additional_trainable_modules,
    shift_tokens_right,
    transpose,
)
from .peft_types import PeftType, TaskType, register_peft_method
from .save_and_load import get_peft_model_state_dict, load_peft_weights, set_peft_model_state_dict
from .warning import PeftWarning


__all__ = [
    "CONFIG_NAME",
    "INCLUDE_LINEAR_LAYERS_SHORTHAND",
    "SAFETENSORS_WEIGHTS_NAME",
    "TRANSFORMERS_MODELS_TO_ADALORA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_BOFT_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_BONE_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_C3A_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_DELORA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_FOURIERFT_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_HRA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_IA3_FEEDFORWARD_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_IA3_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_LNTUNING_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_LOHA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_LOKR_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_LORA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_MISS_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_OFT_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_POLY_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_PREFIX_TUNING_POSTPROCESS_MAPPING",
    "TRANSFORMERS_MODELS_TO_RANDLORA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_ROAD_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_SHIRA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_VBLORA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_VERA_TARGET_MODULES_MAPPING",
    "TRANSFORMERS_MODELS_TO_WAVEFT_TARGET_MODULES_MAPPING",
    "WEIGHTS_NAME",
    "AuxiliaryTrainingWrapper",
    "ModulesToSaveWrapper",
    "PeftType",
    "PeftWarning",
    "TaskType",
    "TrainableTokensWrapper",
    "_freeze_adapter",
    "_get_batch_size",
    "_get_input_embeddings_name",
    "_get_submodules",
    "_is_valid_match",
    "_prepare_prompt_learning_config",
    "_set_adapter",
    "_set_trainable",
    "bloom_model_postprocess_past_key_value",
    "cast_mixed_precision_params",
    "get_auto_gptq_quant_linear",
    "get_gptqmodel_quant_linear",
    "get_peft_model_state_dict",
    "get_quantization_config",
    "id_tensor_storage",
    "infer_device",
    "load_peft_weights",
    "map_cache_to_layer_device_map",
    "prepare_model_for_kbit_training",
    "register_peft_method",
    "replace_lora_weights_loftq",
    "set_additional_trainable_modules",
    "set_peft_model_state_dict",
    "shift_tokens_right",
    "transpose",
]