Add PyTorch XPU as Target Device#6297
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- To support Intel Arc GPUs. - Set default device to XPU. Otherwise some are still on CPU. - Set default data type to float32. Recommended for GPU is float16 but other Torch variables are still in float32.
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montplaisir
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Jun 17, 2026
…raining devices. (#6303) Port these PRs to current code: #6297 Add PyTorch XPU as Target Device #6243 Fix: data on both cuda:0 and cuda:1 when using --torch-device cuda:1 #6225 Release 22/inconsistent device tensor action in trainers [Don't Merge] #6094 add support for mac m1/m2 chips mps gpu Co-authored-by: @ekaakurniawan Eka Antonius Kurniawan <eka.a.kurniawan@gmail.com> Co-authored-by: @robinDLFM Robin De Lissnyder Co-authored-by: @Jkho80 Co-authored-by: @zyunlongz Yunlong Zuo <zyunlongz@gmail.com>
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Proposed change(s)
Add PyTorch XPU as target device to support Intel Arc GPUs.
Useful links (Github issues, JIRA tickets, ML-Agents forum threads etc.)
Steps to Setup Unity Machine Learning Agents Toolkit and PyTorch XPU
Types of change(s)
Checklist
Please advise on adding the test.
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