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- # Copyright 2024 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.
- import re
- from typing import Any
- def get_module_from_name(module, tensor_name: str) -> tuple[Any, str]:
- if "." in tensor_name:
- module_name, tensor_name = tensor_name.rsplit(".", 1)
- module = module.get_submodule(module_name)
- return module, tensor_name
- def should_convert_module(full_name, patterns: list[str] | None = None):
- if patterns is None:
- return True
- # We should avoid converting in the following situations:
- # 1. The pattern appears as a prefix followed by a dot in `full_name`
- # (e.g., "model.decoder.layer.11." matches "model.decoder.layer.11.attn.weight").
- # 2. The pattern matches `full_name` exactly or via regex
- # (e.g., "lm_head" matches "lm_head"; "model.decoder.layer.*" matches "model.decoder.layer.11.attn.weight").
- # 3. `full_name` ends with the pattern
- # (e.g., "fc1" matches "model.decoder.layers.23.fc1").
- should_not_convert = any(
- re.match(f"{key}\\.", full_name) or re.match(f"{key}", full_name) or full_name.endswith(key)
- for key in patterns
- )
- return not should_not_convert
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