Torch Backend in Transpiler

[yugborana]

PR Description

Related Issue

#28848

Checklist

• Did you add a function?
• Did you add the tests?
• Did you run your tests and are your tests passing?
• Did pre-commit not fail on any check?
• Did you follow the steps we provided?

[yugborana]

@Sam-Armstrong @YushaArif99 Good Afternoon. Would like to request for a review?

[Sam-Armstrong]

@yugborana Thanks for making the PR!

Looks like there's a few more things that will need changing before this works correctly. For example, you'll need to add torch as one of the SUPPORTED_S2S_TARGETS in ivy/transpiler/main_config.py.

I'd recommend using the following minimal example to check your solution is working correctly:

import kornia
import torch
import ivy

new_kornia = ivy.transpile(kornia, target="torch", reuse_existing=False)
rgb_image = torch.randn((1, 3, 224, 224))
gray_image = new_kornia.color.rgb_to_grayscale(rgb_image)

You can see this currently fails with the error ivy.transpiler.exceptions.exceptions.InvalidTargetException: 'target' must be one of ['tensorflow', 'jax', 'numpy', 'ivy', 'torch_frontend']. - but it looks like there are still other problems after fixing this.