Explanation of “resample_patchemb” function in flexiViT

```
def resample_patchemb(old, new_hw):
"""Resample the weights of the patch embedding kernel to target resolution.

We resample the patch embedding kernel by approximately inverting the effect
of patch resizing. Colab with detailed explanation:
(internal link)
With this resizing, we can for example load a B/8 filter into a B/16 model
and, on 2x larger input image, the result will match.
See (internal link)
Args:
old: original parameter to be resized.
new_hw: target shape (height, width)-only.
Returns:
Resized patch embedding kernel.
"""
```
Can you provide a link to a Colab that explains this function?

Start with the resample_patchemb function and the internal Colab and reference links in its docstring. Done means providing a public Colab that explains the resizing and why a B/8 filter can load into a B/16 model on a 2x larger input image.

Written by the indexing model from the issue text.