tensorflow: error when exit kernel

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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): no
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): ubuntu 18.04.5
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: N/A
• TensorFlow installed from (source or binary): source
• TensorFlow version (use command below): 2.4.0 master
• Python version: 3.7.9
• Bazel version (if compiling from source): 3.7.0
• GCC/Compiler version (if compiling from source): 7.5.0
• CUDA/cuDNN version: 11.1 / 8.0.4
• GPU model and memory: tesla P100

You can collect some of this information using our environment capture script You can also obtain the TensorFlow version with:

1. TF 1.0: python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"
2. TF 2.0: python -c "import tensorflow as tf; print(tf.version.GIT_VERSION, tf.version.VERSION)"

Describe the current behavior start python and import tensorflow and exit

Describe the expected behavior no error messages

Standalone code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem. If possible, please share a link to Colab/Jupyter/any notebook.

Python 3.7.9 (default, Aug 31 2020, 12:42:55)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2020-10-21 13:48:47.162423: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
>>>
>>> exit()
Exception ignored in: <function Buckets.__del__ at 0x7f8b017e2830>
Traceback (most recent call last):
  File "/home/ubuntu/anaconda3/lib/python3.7/site-packages/tensorflow/python/eager/monitoring.py", line 407, in __del__
AttributeError: 'NoneType' object has no attribute 'TFE_MonitoringDeleteBuckets'

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.