ros/LLaMA-Factory
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support rank0 logger

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Former-commit-id: 84528eabe560091bfd866b6a0ca864085af7529b
This commit is contained in:
hiyouga
2024-11-02 18:31:04 +08:00
parent ceb701c2d4
commit 093eda2ad6
42 changed files with 316 additions and 252 deletions
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6
src/llamafactory/model/model_utils/embedding.py
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@@ -19,14 +19,14 @@ from typing import TYPE_CHECKING
import torch
from transformers.integrations import is_deepspeed_zero3_enabled
from ...extras.logging import get_logger
from ...extras import logging
if TYPE_CHECKING:
from transformers import PreTrainedModel, PreTrainedTokenizer
logger = get_logger(__name__)
logger = logging.get_logger(__name__)
def _noisy_mean_initialization(embed_weight: "torch.Tensor", num_new_tokens: int) -> None:
@@ -69,4 +69,4 @@ def resize_embedding_layer(model: "PreTrainedModel", tokenizer: "PreTrainedToken
_noisy_mean_initialization(model.get_input_embeddings().weight.data, num_new_tokens)
_noisy_mean_initialization(model.get_output_embeddings().weight.data, num_new_tokens)
logger.info(f"Resized token embeddings from {current_embedding_size} to {new_embedding_size}.")
logger.info_rank0(f"Resized token embeddings from {current_embedding_size} to {new_embedding_size}.")