* Refactor dtypes in codebase and add float8_* dtypes

* Update comments

Fix for JAX export on GPU. (keras-team#19404)

Fix formatting in export_lib. (keras-team#19405)

`ops/numpy.py`: Support `key` as `list` in `GetItem` (keras-team#19310)

When loading a model that contains `GetItem` nodes with multidimensional
indices/slices as `key`, the `key` argument is loaded from JSON as a `list`,
not a `tuple` (because JSON does not have the distinction).

So, treat the `key list` as equivalent to the `key tuple`.
Copying is important: otherwise, the later `pop()` will remove the bound
slice elements from the op itself.

`saving/serialization_lib_test.py`:

* Add `test_numpy_get_item_layer()`:
	test for consistent serialization/deserialization of a model which
	contains `ops.numpy.GetItem`;

feat(losses): add Dice loss implementation (keras-team#19409)

* feat(losses): add Dice loss implementation

* removed smooth parameter and type casting

* adjusted casting and dot operator

Update casting

Bump the github-actions group with 1 update (keras-team#19412)

Bumps the github-actions group with 1 update: [github/codeql-action](https://github.com/github/codeql-action).

Updates `github/codeql-action` from 3.24.6 to 3.24.9
- [Release notes](https://github.com/github/codeql-action/releases)
- [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md)
- [Commits](github/codeql-action@8a470fd...1b1aada)

---
updated-dependencies:
- dependency-name: github/codeql-action
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: github-actions
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Fix issue with shared layer deserialization

Remove dead code in saving lib (keras-team#19415)

Remove unused beta param for silu, use torch op directly (keras-team#19417)

The beta param was only accepted on the tensorflow/torch backends
and not in the `keras.ops` API, nor was it tested. I think best
just to ditch, since no one could be relying on it.

Fix print_fn for custom function (keras-team#19419)

Add fp8 to `EinsumDense`

Add test script