I'm running a Docker container as a Vertex AI job. Inside it, a Python script trains a model with TensorFlow and connects to a database through SQLAlchemy. During execution, the job stops with an "Invalid Pointer" error, but Python does not raise a normal exception or provide a useful traceback. After removing the SQLAlchemy-related code, the training script runs successfully. Moving the database operations into a separate process also seems to avoid the problem. Has anyone encountered this interaction between TensorFlow, SQLAlchemy, and Vertex AI, or can suggest a better way to diagnose or structure the workload?
1 Answer
It’s difficult to identify the cause without a minimal, reproducible example. Try reducing the container and script to the smallest version that still triggers the error, including the package versions, Python version, base image, database driver, and how the Vertex AI job is launched. That should help determine whether this is a dependency conflict, a native-library crash, or an issue with process handling.
Thanks. I’ll work on putting together a minimal example and include the environment and dependency details.