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feat(//core/conversion): Add support for aten::size with dynamic shaped models for Torchscript backend. #1647

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merged 15 commits into from
Apr 6, 2023

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@peri044 peri044 commented Feb 3, 2023

Description

#1577

Fixes issues listed in the above discussion

Type of change

  • New feature (non-breaking change which adds functionality)

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

@peri044 peri044 added the WIP Work is in progress, pull request should not be merged yet label Feb 3, 2023
@github-actions github-actions bot added component: api [Python] Issues re: Python API component: conversion Issues re: Conversion stage component: converters Issues re: Specific op converters component: core Issues re: The core compiler component: evaluators Issues re: Specific op evaluators labels Feb 3, 2023
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peri044 commented Feb 3, 2023

cc: @mfeliz-cruise

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Code conforms to Python style guidelines

auto idx = args.at(n->input(1)).unwrapToInt();
if (list_input.isIValue()){
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It looks like this implements one layer of look back, are there cases where this would fail in a new way or do those fallback to list_input.isIValue() to preserve the existing functionality?

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By look back, I'm imagining a case where we have something like list [idx1] [idx2]. I don't have an answer here (how both ITensor and IValue interplay) as it depends on how it is represented in the torchscript graph

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Worth adding a test?

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This looks great @peri044. I left some questions about edge cases, but generally I fully support this change to add the ConversionCtx to the evaluator inputs. This opens up the possibility for us to implement alternative conversion paths for dynamic shapes for any evaluator. Thank you!

core/conversion/evaluators/aten.cpp Outdated Show resolved Hide resolved
core/conversion/converters/impl/shuffle.cpp Outdated Show resolved Hide resolved
Signed-off-by: Dheeraj Peri <[email protected]>
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Code conforms to C++ style guidelines

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Signed-off-by: Dheeraj Peri <[email protected]>
@github-actions github-actions bot added the component: tests Issues re: Tests label Feb 4, 2023
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@peri044 peri044 merged commit 745af55 into main Apr 6, 2023
bowang007 pushed a commit that referenced this pull request Apr 28, 2023
feat(//core/conversion): Add support for aten::size with dynamic shaped models for Torchscript backend.
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cla signed component: api [Python] Issues re: Python API component: conversion Issues re: Conversion stage component: converters Issues re: Specific op converters component: core Issues re: The core compiler component: evaluators Issues re: Specific op evaluators component: tests Issues re: Tests WIP Work is in progress, pull request should not be merged yet
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5 participants