Tensorflow stopped working on my TensorBook

Technical Help
1

Hi, so… the tensorflow on my lambda labs stack seems to have stopped working (see error message below), wondering if anyone can suggest any steps I can take to resolve this issue… Ian

yam@TensorYam:~$ python
Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/yam/.local/lib/python3.10/site-packages/tensorflow/__init__.py", line 38, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "/home/yam/.local/lib/python3.10/site-packages/tensorflow/python/__init__.py", line 36, in <module>
    from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
  File "/home/yam/.local/lib/python3.10/site-packages/tensorflow/python/pywrap_tensorflow.py", line 26, in <module>
    self_check.preload_check()
  File "/home/yam/.local/lib/python3.10/site-packages/tensorflow/python/platform/self_check.py", line 63, in preload_check
    from tensorflow.python.platform import _pywrap_cpu_feature_guard
ImportError: /home/yam/.local/lib/python3.10/site-packages/tensorflow/python/platform/../../libtensorflow_cc.so.2: undefined symbol: _ZN6google8protobuf7Message19CopyWithSourceCheckERS1_RKS1_
2

For reference:

yam@TensorYam:~$ pip show tensorflow
Name: tensorflow
Version: 2.13.0
Summary: TensorFlow is an open source machine learning framework for everyone.
Home-page: https://www.tensorflow.org/
Author: Google Inc.
Author-email: packages@tensorflow.org
License: Apache 2.0
Location: /home/yam/.local/lib/python3.10/site-packages
Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, libclang, numpy, opt-einsum, packaging, protobuf, setuptools, six, tensorboard, tensorflow-estimator, tensorflow-io-gcs-filesystem, termcolor, typing-extensions, wrapt
Required-by:
3

Also for the record, I have tried reinstalling Python, CUDA, CUDNN, and tensorflow in a clean conda environment per these instructions: