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Extending ivy.multi_head_attention to the superset, and shortening torch_frontend.multi_head_attention_forward by using the updated ivy.multi_head_attention.
Thanks for contributing to Ivy! 😊👏
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1. Feel free to ignore the run_tests (1), run_tests (2), … jobs, and only look at the display_test_results job. 👀 It contains the following two sections:
- Combined Test Results: This shows the results of all the ivy tests that ran on the PR. ✔️
- New Failures Introduced: This lists the tests that are passing on main, but fail on the PR Fork. Please try to make sure that there are no such tests. 💪
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Happy coding! 🎉👨💻
AnnaTz
changed the title
refactor(ivy, frontends): Extends ivy.multi_head_attention and shortens torch_frontend.multi_head_attention_forward
refactor(ivy, torch-frontend): Extends ivy.multi_head_attention and shortens torch_frontend.multi_head_attention_forward
Sep 6, 2023
Array APIConform to the Array API Standard, created by The Consortium for Python Data API StandardsIvy Functional APIPyTorch FrontendDeveloping the PyTorch Frontend, checklist triggered by commenting add_frontend_checklist
5 participants
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AnnaTz
changed the title
ivy-leaves
added
PyTorch Frontend
Extending
ivy.multi_head_attentionto the superset, and shorteningtorch_frontend.multi_head_attention_forwardby using the updatedivy.multi_head_attention.Close #23074