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System information

• Have I written custom code (as opposed to using a stock
  example script provided in TensorFlow): Yes

(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

Describe the issue linked to the documentation

Follows from #17387

Suggest a potential alternative/fix

Stop referencing preprocessing functions e.g. :

maxabs_scale
minmax_scale
normalize
quantile_transform
robust_scale
scale
power_transform

in the UG, and only add them e.g. in the "See Also" sections, or even just in the API ref.

In particular right now the first entr

🐛 Bug

Follow up on #43476.
Scanning CUDA KernelUtils.GET_BLOCKS might be called with overflowed 32bit integers. should convert to int64 to hold num_kernels

Additional context

See examples such as:
https://github.com/pytorch/pytorch/blob/c010ef7f0c6d837809a7e973048afac76373e3de/aten/src/ATen/native/cuda/vol2col.cuh#L107

https://github.com/pytorch/pytorch/blob/c010ef7f0c6d83780

Currently, the docs for the Printf standardlib simply mentions it uses "C printf style format specification", but does not specify what that is, nor provides a link to the C printf format.

It would be nice to explain it in the docs.