Tzu-Wei Huang

Sorry having missed your reply for so long. After seeing your reply I tried launching tensorboard for several times with the `--load_fast=false` arg, and I can get the randomness like...

Hi, you might need to pass the `purge_step` parameter. Here is an low level API example: https://github.com/lanpa/tensorboardX/blob/master/examples/demo_purge.py

@AliAlhasan2 Please follow the issue format so that I can get more context about your issue. Thanks

 I think my title is misleading. Number 42 is not rendered correctly. The sprite image's label is given from 0 to 48 (row major). So it should be the...

Hi @adamjstewart, I was unable to reproduce the warning with your code. Here's my freshly created environment (with `docker run -it --rm python:3.10 bash` followed by some pip install): Would...

Thanks, I have found that I can reproduce with: `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python` python -Werror -c 'import tensorboardX'. This additional environment variable is also used in the test script so the deprecation message...

What about `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp python -Werror -c "import google.protobuf"`?

Hi, I think the root cause is related to the protobuf in your spack env. Can you try `PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=cpp python -Werror -c "from google.protobuf import __version__; print(__version__);from google.protobuf.pyext import _message"`...

Thank you for telling me that your Spack env have different versions of protobuf installed. By convention, the major should be matched. However, as indicated in https://developers.google.com/protocol-buffers/docs/news/2022-05-06 https://github.com/protocolbuffers/protobuf/releases/tag/v21.0-rc1 I think...

Is it possible to uninstall both and just `pip install protobuf==3.20.1`?