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42 lines
1.7 KiB
42 lines
1.7 KiB
4 days ago
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# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import re
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from typing import Any
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def get_module_from_name(module, tensor_name: str) -> tuple[Any, str]:
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if "." in tensor_name:
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module_name, tensor_name = tensor_name.rsplit(".", 1)
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module = module.get_submodule(module_name)
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return module, tensor_name
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def should_convert_module(full_name, patterns: list[str] | None = None):
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if patterns is None:
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return True
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# We should avoid converting in the following situations:
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# 1. The pattern appears as a prefix followed by a dot in `full_name`
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# (e.g., "model.decoder.layer.11." matches "model.decoder.layer.11.attn.weight").
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# 2. The pattern matches `full_name` exactly or via regex
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# (e.g., "lm_head" matches "lm_head"; "model.decoder.layer.*" matches "model.decoder.layer.11.attn.weight").
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# 3. `full_name` ends with the pattern
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# (e.g., "fc1" matches "model.decoder.layers.23.fc1").
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should_not_convert = any(
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re.match(f"{key}\\.", full_name) or re.match(f"{key}", full_name) or full_name.endswith(key)
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for key in patterns
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)
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return not should_not_convert
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