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2 changes: 1 addition & 1 deletion contrib/CONTRIBUTING.md
Original file line number Diff line number Diff line change
Expand Up @@ -171,7 +171,7 @@ Explain the problem and include additional details to help maintainers reproduce
* **Describe the behavior you observed after following the steps** and point out what exactly is the problem with that behavior.
* **Explain which behavior you expected to see instead and why.**
* **Include screenshots and animated GIFs** which show you following the described steps and clearly demonstrate the problem. You can use [this tool](https://www.cockos.com/licecap/) to record GIFs on macOS and Windows, and [this tool](https://github.com/colinkeenan/silentcast) or [this tool](https://github.com/GNOME/byzanz) on Linux.
* **If you're reporting that Bittensor crashed**, include a crash report with a stack trace from the operating system. On macOS, the crash report will be available in `Console.app` under "Diagnostic and usage information" > "User diagnostic reports". Include the crash report in the issue in a [code block](https://help.github.com/articles/markdown-basics/#multiple-lines), a [file attachment](https://help.github.com/articles/file-attachments-on-issues-and-pull-requests/), or put it in a [gist](https://gist.github.com/) and provide link to that gist.
* **If you're reporting that Bittensor crashed**, include a crash report with a stack trace from the operating system. On macOS, the crash report will be available in `Console.app` under "Diagnostic and usage information" > "User diagnostic reports". Include the crash report in the issue in a [code block](https://help.github.com/articles/markdown-basics/#multiple-lines), a [file attachment](https://docs.github.com/articles/file-attachments-on-issues-and-pull-requests/), or put it in a [gist](https://gist.github.com/) and provide link to that gist.
* **If the problem is related to performance or memory**, include a CPU profile capture with your report, if you're using a GPU then include a GPU profile capture as well. Look into the [PyTorch Profiler](https://pytorch.org/tutorials/recipes/recipes/profiler_recipe.html) to look at memory usage of your model.
* **If the problem wasn't triggered by a specific action**, describe what you were doing before the problem happened and share more information using the guidelines below.

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