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Bump torch from 1.9.0+cpu to 1.13.1 in /examples/research_projects/jax-projects/hybrid_clip (#21167)

Bump torch in /examples/research_projects/jax-projects/hybrid_clip

Bumps [torch](https://github.com/pytorch/pytorch) from 1.9.0+cpu to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/commits/v1.13.1

)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Script & Manual edition

* Update

Add language identifiers to code blocks

Add missing spaces in adjacent strings

`jnp.array` is a function, not a type:
https://jax.readthedocs.io/en/latest/_autosummary/jax.numpy.array.html


so it never makes sense to use `jnp.array` in a type annotation. Presumably the intent was to write `jnp.ndarray` aka `jax.Array`.
Co-authored-by: Peter Hawkins <phawkins@google.com>

* Result of black 23.1

* Update target to Python 3.7

* Switch flake8 to ruff

* Configure isort

* Configure isort

* Apply isort with line limit

* Put the right black version

* adapt black in check copies

* Fix copies

* [JAX] Replace all jax.tree_* calls with jax.tree_util.tree_*

* fix double tree_util

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* begin do_init

* add params_shape_tree

* raise error if params are accessed when do_init is False

* don't allow do_init=False when keys are missing

* make shape tree a property

* assign self._params at the end

* add test for do_init

* add do_init arg to all flax models

* fix param setting

* disbale do_init for composite models

* update test

* add do_init in FlaxBigBirdForMultipleChoice

* better names and errors

* improve test

* style

* add a warning when do_init=False

* remove extra if

* set params after _required_params

* add test for from_pretrained

* do_init => _do_init

* chage warning to info

* fix typo

* add params in init_weights

* add params to gpt neo init

* add params to init_weights

* update do_init test

* Trigger CI

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update template

* trigger CI

* style

* style

* fix template
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Replace outdated model tags with their now-canonical pipeline types

* spam the CI till it's green

* fix inits

* fix embed dtype

* fix embed dtype

* add test to check default dtype

* quality

* add type conversion methods for flax models

* more robust casting

* cast sinusoidal positions

* update pegasus

* update albert

* update test

* make sure dtype is passed to every module

* style

* fix electra dense

* fix t5

* quality

* add more tests

* better name

* use the dtype for lm head computation

* fix albert

* style

* fix albert embed dtype

* more tests

* fix vision enc-dec

* cleanup

* fix embed dtype pegasus

* fix default param test

* doc

* update template

* fix final_logits_bias dtype

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix doc

* fix doc

* add detailed docstring for dtype parameter

* remove un-necessary import
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

[Flax/run_hybrid_clip] Fix duplicating images when captions_per_image exceeds the number of captions, enable truncation 

* allow passing params to image and text feature method

* ifx for hybrid clip as well

* [Flax] Align device name in docs

* make style

* fix import error

* fix saving and loading

* update readme

* clip style example

* fix post init

* add requirements

* update readme, few small fixes