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add conversion matchers for torchvision builtin models #508

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merged 6 commits into from
Nov 25, 2024
Merged

add conversion matchers for torchvision builtin models #508

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e4d0fa9
add conversion matchers for torchvision builtin models
guozixu2001 Nov 16, 2024
6d595d2
update readme: now support torchvision code conversion
guozixu2001 Nov 16, 2024
6b3a67a
add log in code_consistency_check to get torchvision version in ci
guozixu2001 Nov 22, 2024
dfc0e2f
Merge branch 'master' into torchvision-dev-3
guozixu2001 Nov 22, 2024
8fdfa17
removed the * marker used to indicate position-only parameters in api…
guozixu2001 Nov 22, 2024
488d55f
Modify test cases for built-in models, add ModelAPIBase to compare mo…
guozixu2001 Nov 23, 2024
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2 changes: 1 addition & 1 deletion README_EN.md
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Expand Up @@ -5,7 +5,7 @@ The principle is to use Python syntax tree analysis to generate the source code

The conversion logic is static code scanning. Keep the style and structure of the original code unchanged, only convert the Python API, while other Python codes remain unchanged.

Note that only Python native APIs can be converted. For other third-party libraries (such as mmdet, mmcv, torchvision, etc.) encapsulated based on the Pytorch API cannot be converted, and these APIs rely on manual conversion. It is recommended to copy this part of code and then use tools to convert it.
Note that only Python native APIs can be converted. For other third-party libraries (such as mmdet, mmcv, etc.) encapsulated based on the Pytorch API cannot be converted, and these APIs rely on manual conversion. It is recommended to copy this part of code and then use tools to convert it.

The conversion adopts a non-inplace method, convert the original project files one by one to the folder specified by `out_dir`. And the original file will not be changed to facilitate comparison and debugging before and after:

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