*   `tf.tpu.experimental.embedding`:

    *   `tf.tpu.experimental.embedding.FeatureConfig` now takes an additional
        argument `output_shape` which can specify the shape of the output
        activation for the feature.
    *   `tf.tpu.experimental.embedding.TPUEmbedding` now has the same behavior
        as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can

# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX
# is forward compatible beyond the current compute capability major
# release while SASS is only forward compatible inside the current
# major release. Example: sm_80 kernels can run on sm_89 GPUs but

	// Initialize a zip writer which will provide a zipped content
	// of profiling data of all nodes
	zipWriter := zip.NewWriter(writer)
	defer zipWriter.Close()

	// Start by embedding cluster info.
	if b := getClusterMetaInfo(ctx); len(b) > 0 {
		internalLogIf(ctx, embedFileInZip(zipWriter, "cluster.info", b, 0o600))
	}

	// Profiles can be quite big, so we limit to max 16 concurrent downloads.

### Bug or Regression

- --feature-gate=InOrderInformers (default on), causes informers to process watch streams in order as opposed to grouping updates for the same item close together.  Binaries embedding client-go, but not wiring the featuregates can disable by setting the `KUBE_FEATURE_InOrderInformers=false`. ([#129568](https://github.com/kubernetes/kubernetes/pull/129568), [@deads2k](https://github.com/deads2k)) [SIG API Machinery]

## 0.53.2

* Fix automatic embedding of body fields for dependencies and sub-dependencies. Original PR [#1079](https://github.com/tiangolo/fastapi/pull/1079) by [@Toad2186](https://github.com/Toad2186).