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[Term Entry] PyTorch GPU Acceleration with CUDA: Performance Optimization #5965

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codecademy-docs opened this issue Jan 16, 2025 · 3 comments · May be fixed by #6028
Open
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[Term Entry] PyTorch GPU Acceleration with CUDA: Performance Optimization #5965

codecademy-docs opened this issue Jan 16, 2025 · 3 comments · May be fixed by #6028
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claimed Issue is claimed and closed to further assignment good first issue Good for newcomers new entry New entry or entries pytorch PyTorch

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@codecademy-docs
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We would like a new term entry on the Performance Optimization concept under Pytorch. The entry should go in a new file under docs/content/pytorch/concepts/gpu-acceleration-with-cuda/terms/performance-optimization/performance-optimization.md.

The entry should include:

  • An introduction to the concept
  • A Syntax section that provides the syntax for the concept
  • An Example section that provides an example demonstrating the concept in use

Please refer to the term entry template, content standards and markdown style guide when working on the PR for this issue.

Entry Type (select all that apply)

New Term for Existing Concept Entry

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@codecademy-docs codecademy-docs added good first issue Good for newcomers new entry New entry or entries pytorch PyTorch labels Jan 16, 2025
@IK-MEE
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IK-MEE commented Jan 23, 2025

Hi, @codecademy-docs. I'm currently on a Git & GitHub course on Codecademy and found this issue very interesting for my first contribution assignment. I want to take this issue and start my study on PyThorch too! 😄

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Hey @IK-MEE You’re assigned 🎉 In addition to the documents linked in the description, please also look at the Contribution Guide. After creating a PR, the maintainer(s) (with the collaborator label) will add comments/suggestions to address any revisions before approval.

@codecademy-docs codecademy-docs added the claimed Issue is claimed and closed to further assignment label Jan 23, 2025
@IK-MEE
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IK-MEE commented Jan 26, 2025

This task might take 4-5 days more to complete due to my schedule this week. My apologizes.

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