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Summary: Now that torchao is not experimental anymore, we can rely on torchao directly via git submodule. Part of #7460
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7470
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metascroy
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@pytorchbot cherry-pick --onto release/0.5 -c release |
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Cherry picking #7470The cherry pick PR is at #7712 The following tracker issues are updated: Details for Dev Infra teamRaised by workflow job |
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* Install torchao by default (#7470) Summary: Now that torchao is not experimental anymore, we can rely on torchao directly via git submodule. Part of #7460 (cherry picked from commit a861294) * Upgrade numpy version requirement to 2.0 (#7599) Upgrade numpy version requirement to Summary: 1.21 is too old now. For 3.10 or above, we should be able to use 2.0.0 We are already on CoreMLTools 8.1, which is https://github.com/apple/coremltools/blob/8.1/reqs/build.pip We had to upgrade to the latest transformers as well (cherry picked from commit a7b5297) * Update torchtune pin (#7670) (cherry picked from commit a18f6e8) * [Arm] TOSA reference model update * Install release version of torchtune --------- Co-authored-by: Sicheng Stephen Jia <ssjia@meta.com>
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Summary:
Now that torchao is not experimental anymore, we can rely on torchao directly via git submodule.
Part of #7460
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