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Posted to issues@mxnet.apache.org by "GarrettDaniel (via GitHub)" <gi...@apache.org> on 2023/05/18 22:42:02 UTC
[GitHub] [mxnet] GarrettDaniel commented on issue #16449: Train Neural Network Python Tutorial - Plot Images code not working
GarrettDaniel commented on issue #16449:
URL: https://github.com/apache/mxnet/issues/16449#issuecomment-1553748541
It seems that this issue has been resolved in a notebook environment. The tutorial now includes `import matplotlib.pyplot as plt` to solve the issue with `plt` not being defined. Additionally, the 3rd code cell, when run in its entirety, functions as expected, displaying the images to the notebook, while still saving the variables from previous cells.
From my understanding, this tutorial was intended to be run in a *notebook environment* (i.e. Jupyter notebook), not directly from the terminal. Notebook environments like Jupyter and Jupyterlab work well for rendering images, markdown, LaTeX, etc., and were likely intended for this tutorial, given that it was written in markdown.
It is important to note that there is still the `DeprecationWarning` (see first image above), suggesting that `display.set_matplotlib_formats` is deprecated and that `matplotlib_inline.backend_inline.set_matplotlib_formats()` should be used instead. Adding the following code block to the top of the 3rd cell and removing the line referenced in the main issue will resolve the warning (see accepted answer here for more details (https://stackoverflow.com/questions/36622237/jupyter-notebook-inline-plots-as-svg):
`%matplotlib inline`
`import matplotlib_inline`
`matplotlib_inline.backend_inline.set_matplotlib_formats('svg')`
I'd be happy to make the above changes to remove the warning if that would be helpful.
*Note: this fix requires a notebook environment since it uses the `%matplotlib inline` built-in magic command for Jupyter. This will not work in a terminal environment. If you would like to have this work in a terminal environment, the suggestion from @TEChopra1000 to remove the line `display.set_matplotlib_formats('svg')` still solves the issue in that context. Hope this helps!
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