I'm getting the following message while running the Sagemaker SDK on my lambda function. I have installed the correct libraries that are comparable with python 3.11 and the lambda.
The log data from lambda:
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
The log from the endpoint
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
My code is
from sagemaker.pytorch.model import PyTorchModel, PyTorchPredictor
from sagemaker.deserializers import JSONDeserializer
predictor = PyTorchPredictor(endpoint_name=ENDPOINT_NAME, deserializer=JSONDeserializer())
result = predictor.predict(decode)
The predictor function is what's breaking the run and sending the INFO level log
any thoughts on how to fix this? I tried to look into documentation on what could fix this but did not find anything
i tried to work through, import different libraries and different levels of configs and still getting the error
The info messages you are seeing is from SDK defaults feature that was added. It should have no impact to your code unless you are using that feature.