mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-01 03:02:51 +08:00
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# Copyright 2025 the LlamaFactory team.
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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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from typing import TYPE_CHECKING
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from ...extras import logging
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logger = logging.get_logger(__name__)
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if TYPE_CHECKING:
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from transformers import PretrainedConfig
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from ...hparams import ModelArguments
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def configure_kv_cache(config: "PretrainedConfig", model_args: "ModelArguments", is_trainable: bool) -> None:
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if not is_trainable:
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setattr(config, "use_cache", model_args.use_cache)
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if hasattr(config, "text_config"):
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setattr(config.text_config, "use_cache", model_args.use_cache)
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if model_args.use_cache:
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logger.info_rank0("KV cache is enabled for faster generation.")
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else:
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logger.info_rank0("KV cache is disabled.")
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else:
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setattr(config, "use_cache", False)
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if hasattr(config, "text_config"):
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setattr(config.text_config, "use_cache", False)
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logger.info_rank0("KV cache is disabled during training.")
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