Create a system to define converters that are written in python #56
Labels
component: api [Python]
Issues re: Python API
help wanted
Extra attention is needed
No Activity
priority: low
Will be handled, but not in the near term
Comments
|
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 |
|
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 |
|
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 |
|
This issue has not seen activity for 30 days, Remove stale label or comment or this will be closed in 5 days |
frank-wei
pushed a commit
that referenced
this issue
Jun 4, 2022
Summary: Pull Request resolved: https://github.com/pytorch/fx2trt/pull/56 ATT Reviewed By: khabinov Differential Revision: D35649693 fbshipit-source-id: b3ef48142bdbeeca24cf12791f5946d8362d0564
mfeliz-cruise
added a commit
to mfeliz-cruise/Torch-TensorRT
that referenced
this issue
Oct 6, 2022
# Description Adds converter support for aten::squeeze(Tensor) which will remove any static dimension of size 1. An existing converter supports aten::squeeze(Tensor, int dim). Fixes # (issue) ## Type of change Please delete options that are not relevant and/or add your own. - Bug fix (non-breaking change which fixes an issue) - New feature (non-breaking change which adds functionality) - Breaking change (fix or feature that would cause existing functionality to not work as expected) - This change requires a documentation update # Checklist: - [ ] My code follows the style guidelines of this project (You can use the linters) - [ ] I have performed a self-review of my own code - [ ] I have commented my code, particularly in hard-to-understand areas and hacks - [ ] I have made corresponding changes to the documentation - [ ] I have added tests to verify my fix or my feature - [ ] New and existing unit tests pass locally with my changes - [ ] I have added the relevant labels to my PR in so that relevant reviewers are notified
gs-olive
pushed a commit
to gs-olive/TensorRT
that referenced
this issue
Oct 11, 2022
# Description Adds converter support for aten::squeeze(Tensor) which will remove any static dimension of size 1. An existing converter supports aten::squeeze(Tensor, int dim). Fixes # (issue) ## Type of change Please delete options that are not relevant and/or add your own. - Bug fix (non-breaking change which fixes an issue) - New feature (non-breaking change which adds functionality) - Breaking change (fix or feature that would cause existing functionality to not work as expected) - This change requires a documentation update # Checklist: - [ ] My code follows the style guidelines of this project (You can use the linters) - [ ] I have performed a self-review of my own code - [ ] I have commented my code, particularly in hard-to-understand areas and hacks - [ ] I have made corresponding changes to the documentation - [ ] I have added tests to verify my fix or my feature - [ ] New and existing unit tests pass locally with my changes - [ ] I have added the relevant labels to my PR in so that relevant reviewers are notified
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
It would be nice if we are able to define converters in python for users to add support for a custom operator
The text was updated successfully, but these errors were encountered: