[ET-VK] Using a single GPU buffer for all tensor uniforms.

[trivedivivek]

Stack from ghstack (oldest at bottom):

• 7016

• -> #7015

• 7014

This diff changes Tensor class to store all uniforms in a single uniform buffer.

Entities stored in uniforms ie. size, stride, numel and logical limits are now stored in a single buffer and their offsets are stored as unsigned ints in Tensor class.

Other changes includes: Adding a new ctor for ParamsBuffer class to allow allocation with size without data ptr.

Adding an offset input to Buffer::data function.

Adding an offset parameter to BufferBindInfo ctor, so additional offset can be supplied when binding a buffer.

Differential Revision: D65841750

[pytorch-bot[bot]]

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• [DomainsOnly] Jobs fail with GLIBC version not found

:x: 2 New Failures

As of commit 700a4733ec97c97127b4e1e5817a7715cb31ab2a with merge base 7375cf5ac9c01bb1e4798a4ee4bdbdb5dfccfb0d ():

NEW FAILURES - The following jobs have failed:

* [Check Labels / Check labels](https://hud.pytorch.org/pr/pytorch/executorch/7015#33343950247) ([gh](https://github.com/pytorch/executorch/actions/runs/11960286066/job/33343950247)) `RuntimeError: Error checking labels: PR does not have required labels` * [pull / unittest / linux / linux-job](https://hud.pytorch.org/pr/pytorch/executorch/7015#33343952105) ([gh](https://github.com/pytorch/executorch/actions/runs/11960281892/job/33343952105)) `RuntimeError: Command docker exec -t 950959d1dca572c261faf761546181b2a1c79793a6e6f330846017c7a1328070 /exec failed with exit code 139`

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This pull request was exported from Phabricator. Differential Revision: D65841750

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