[PyTorch][Vulkan] Add template based codegen for shader generation (#88323)
We would like to be able to parameterize kernels such that a parameterized
algorithm can be implemented via templates. We can then profile performance of
a kernel with different parameter values. This enables us to determine what
parameters may work the best for a given kernel or a given device.
In this diff one such kernel added in 1x1 conv which parameters across size of
the tile being produced by each invocation.
Few other options for parameters can be:
- One can imagine dtype can also be a parameter such that we can do compute in
fp16 or int8/int16.
- Register blocking for input channels
Differential Revision: [D40280336](https://our.internmc.facebook.com/intern/diff/D40280336/)
**NOTE FOR REVIEWERS**: This PR has internal Meta-specific changes or comments, please review them on [Phabricator](https://our.internmc.facebook.com/intern/diff/D40280336/)!
Pull Request resolved: https://github.com/pytorch/pytorch/pull/88323
Approved by: https://github.com/jmdetloff
