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@dllehr-amd dllehr-amd commented Mar 1, 2023

To align with upstream, we are requiring triton dependency to be between 2.0.0 and 2.1. This will allow PyTorch 2.0 on ROCM to stay flexible enough to pick up any performance/stability improvements from Triton, without needing to cut a separate PyTorch version.

Pull Request resolved: #95793
Approved by: https://github.com/huydhn

Fixes #ISSUE_NUMBER

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport

To align with upstream, we are requiring triton dependency to be between 2.0.0 and 2.1.  This will allow PyTorch 2.0 on ROCM to stay flexible enough to pick up any performance/stability improvements from Triton, without needing to cut a separate PyTorch version.

Pull Request resolved: pytorch#95793
Approved by: https://github.com/huydhn
@dllehr-amd dllehr-amd requested a review from a team as a code owner March 1, 2023 23:05
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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/95834

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@pytorch-bot pytorch-bot bot added module: rocm AMD GPU support for Pytorch topic: not user facing topic category labels Mar 1, 2023
@atalman atalman merged commit c04134c into pytorch:release/2.0 Mar 2, 2023
pruthvistony pushed a commit to ROCm/pytorch that referenced this pull request May 3, 2023
…pytorch#95834)

To align with upstream, we are requiring triton dependency to be between 2.0.0 and 2.1.  This will allow PyTorch 2.0 on ROCM to stay flexible enough to pick up any performance/stability improvements from Triton, without needing to cut a separate PyTorch version.

Pull Request resolved: pytorch#95793
Approved by: https://github.com/huydhn
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