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Use PyTorch Functionalization Pass #30
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component: lowering
Issues re: The lowering / preprocessing passes
feature request
New feature or request
priority: high
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narendasan
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feature request
New feature or request
component: lowering
Issues re: The lowering / preprocessing passes
priority: high
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Apr 1, 2020
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
narendasan
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Sep 4, 2020
operators Closes: #30 Signed-off-by: Naren Dasan <naren@narendasan.com> Signed-off-by: Naren Dasan <narens@nvidia.com>
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andi4191
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Oct 30, 2020
operators Closes: pytorch#30 Signed-off-by: Naren Dasan <naren@narendasan.com> Signed-off-by: Naren Dasan <narens@nvidia.com>
frank-wei
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…nference (#30) Summary: Pull Request resolved: https://github.com/pytorch/fx2trt/pull/30 as title Reviewed By: 842974287 Differential Revision: D34874487 fbshipit-source-id: 86039d0f1269d879983977c65fe8fbe0a8bc1421
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Labels
component: lowering
Issues re: The lowering / preprocessing passes
feature request
New feature or request
priority: high
Having converters for inplace operators (add_) is potentially unsafe. We should use the functionalization pass in the lowering phase to switch these ops to their functional versions.
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