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Added docs for the .max() method closes #8251#8263

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abdultalha0862 wants to merge 3 commits intoCodecademy:main from
abdultalha0862:add-max-function
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Added docs for the .max() method closes #8251 #8263
abdultalha0862 wants to merge 3 commits intoCodecademy:main from
abdultalha0862:add-max-function

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@abdultalha0862 abdultalha0862 commented Feb 24, 2026

Description

Added PyTorch max() Function Documentation

Issue Solved

#8251

Type of Change

  • Adding a new entry

Checklist

  • All writings are my own.
  • My entry follows the Codecademy Docs style guide.
  • My changes generate no new warnings.
  • I have performed a self-review of my own writing and code.
  • I have checked my entry and corrected any misspellings.
  • I have made corresponding changes to the documentation if needed.
  • I have confirmed my changes are not being pushed from my forked main branch.
  • I have confirmed that I'm pushing from a new branch named after the changes I'm making.
  • I have linked any issues that are relevant to this PR in the Issues Solved section.

Copilot AI review requested due to automatic review settings February 24, 2026 11:10
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@mamtawardhani I have solved this issue #8251

Ready for the review. Please let me know if there are any changes.

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Pull request overview

This PR adds documentation for PyTorch's .max() tensor operation method, addressing issue #8251. The documentation follows the standard structure used for PyTorch tensor operations in Codecademy Docs.

Changes:

  • Added new documentation entry for the .max() method under PyTorch tensor operations
  • Included introduction, syntax, and example sections following the documentation template
  • Provided code example demonstrating basic usage of finding maximum values in a tensor

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Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated no new comments.

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Updated the description to clarify that .max() can return maximum values across a specified dimension. Added the 'out' parameter to the syntax and clarified return values.
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The PR looks good for a second round of review! 🚀

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