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Use PyTorch Functionalization Pass #30

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narendasan opened this issue Apr 1, 2020 · 3 comments · Fixed by #183
Closed

Use PyTorch Functionalization Pass #30

narendasan opened this issue Apr 1, 2020 · 3 comments · Fixed by #183
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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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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.

@narendasan narendasan added feature request New feature or request component: lowering Issues re: The lowering / preprocessing passes priority: high labels Apr 1, 2020
@narendasan narendasan added this to the v0.0.2 milestone Apr 1, 2020
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This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days

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github-actions bot commented Aug 9, 2020

This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days

narendasan added a commit that referenced this issue Sep 4, 2020
operators

Closes: #30

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>
andi4191 pushed a commit to andi4191/Torch-TensorRT that referenced this issue Oct 30, 2020
operators

Closes: pytorch#30

Signed-off-by: Naren Dasan <[email protected]>
Signed-off-by: Naren Dasan <[email protected]>
frank-wei pushed a commit that referenced this issue Jun 4, 2022
…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
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