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https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-15 19:30:36 +08:00
fix version checking
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@@ -14,6 +14,7 @@ from transformers.utils import (
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is_torch_npu_available,
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is_torch_xpu_available,
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)
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from transformers.utils.versions import require_version
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from .constants import V_HEAD_SAFE_WEIGHTS_NAME, V_HEAD_WEIGHTS_NAME
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from .logging import get_logger
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@@ -56,6 +57,17 @@ class AverageMeter:
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self.avg = self.sum / self.count
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def check_dependencies() -> None:
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if int(os.environ.get("DISABLE_VERSION_CHECK", "0")):
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logger.warning("Version checking has been disabled, may lead to unexpected behaviors.")
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else:
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require_version("transformers>=4.37.2", "To fix: pip install transformers>=4.37.2")
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require_version("datasets>=2.14.3", "To fix: pip install datasets>=2.14.3")
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require_version("accelerate>=0.27.2", "To fix: pip install accelerate>=0.27.2")
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require_version("peft>=0.9.0", "To fix: pip install peft>=0.9.0")
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require_version("trl>=0.7.11", "To fix: pip install trl>=0.7.11")
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def count_parameters(model: torch.nn.Module) -> Tuple[int, int]:
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r"""
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Returns the number of trainable parameters and number of all parameters in the model.
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