我在lambda函数上运行Sagemaker SDK时收到以下消息。我已经安装了与python 3.11和lambda相当的正确库。
来自lambda的日志数据：

sagemaker.config INFO - Not applying SDK defaults from location: /etc/xdg/sagemaker/config.yaml
--
sagemaker.config INFO - Not applying SDK defaults from location: /home/sbx_user1051/.config/sagemaker/config.yaml

来自端点的日志

2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Executing input_fn from inference.py ...
--
2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0 org.pytorch.serve.wlm.WorkerThread - Backend response time: 3557
2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Executing predict_fn from inference.py ...
2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0-stdout MODEL_LOG - Executing output_fn from inference.py ...
2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0 ACCESS_LOG - /127.0.0.1:35074 "POST /invocations HTTP/1.1" 200 3558
2023-09-16T21:55:46,174 [INFO ] W-9000-model_1.0 TS_METRICS - Requests2XX.Count:1\|#Level:Host\|#hostname:169.254.29.125,timestamp:1694901018

我的代码

from sagemaker.pytorch.model import PyTorchModel, PyTorchPredictor 
from sagemaker.deserializers import JSONDeserializer
    
predictor = PyTorchPredictor(endpoint_name=ENDPOINT_NAME, deserializer=JSONDeserializer())
result = predictor.predict(decode)

预测函数是中断运行并发送INFO级别日志的函数
有什么办法解决吗我试图查看文档，了解如何解决此问题，但没有找到任何东西
我试图通过工作，导入不同的库和不同级别的数据库，仍然得到错误