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# Copyright 2025 the LlamaFactory 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 typing import TYPE_CHECKING
from ...extras import logging
logger = logging.get_logger(__name__)
if TYPE_CHECKING:
from transformers import PretrainedConfig
from ...hparams import ModelArguments
def configure_kv_cache(config: "PretrainedConfig", model_args: "ModelArguments", is_trainable: bool) -> None:
if not is_trainable:
setattr(config, "use_cache", model_args.use_cache)
if hasattr(config, "text_config"):
setattr(config.text_config, "use_cache", model_args.use_cache)
if model_args.use_cache:
logger.info_rank0("KV cache is enabled for faster generation.")
else:
logger.info_rank0("KV cache is disabled.")
else:
setattr(config, "use_cache", False)
if hasattr(config, "text_config"):
setattr(config.text_config, "use_cache", False)
logger.info_rank0("KV cache is disabled during training.")
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