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torch/ao/quantization/utils.py: Moving eps to targeted device to avoid device mismatch issue by yintong-lu · Pull Request #135204 · pytorch/pytorch · GitHub
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…d device mismatch issue
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/135204
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 7a4033b with merge base 5b442e8 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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…d device mismatch issue
…into fix_eps_device
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Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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…, move eps to device of other tensors to avoid device mismatch issue. 2) pytorch upstream pr: pytorch#135204. This pull request is merged. Change-Id: I52cad8dda1df4952bbdb2e4bc8eb39d9ab3e800f Signed-off-by:: internal developer <developer@habana.ai>
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MOTIVATION
We recently verified some quantization tests on devices other than cpu (eg. CUDA and Intel Gaudi devices identified as 'hpu'). We noticed a device mismatch error as eps is a tensor created on cpu but other tensors (min_val_neg, max_val_pos, scale, zero_point) are moved to the targeted device.
CHANGES
Move eps to device of other tensors.