[Relax][PyTorch] Add UpSample Bicubic Op Support for Exported Program and FX graph#17932
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Hzfengsy merged 5 commits intoapache:mainfrom May 10, 2025
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Overall LGTM, but a minor question
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… and FX graph (apache#17932) * add upsample bicubic op support into torch frontend * fix cubic alpha value for all interpolate func * fix cubic alpha values in all test script * update the mapping code in frontend * fix lint issue --------- Co-authored-by: deivanayakisankaralingam <deiva@Deivanayaki>
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This PR introduces support for the upsample_bicubic2d operation in PyTorch, expanding the existing upsampling functionalities to include bicubic interpolation. The implementation aligns with the default behavior of PyTorch's torch.nn.functional.interpolate function, which utilizes a cubic convolution kernel with an alpha value of -0.75. Notably, the default alpha value has been adjusted from -0.5 to -0.75 to match the exact results produced by PyTorch's implementation. By adding this support, the following models are now able to run successfully.