Specifically, inputs to such ops are rounded from 23 bits of precision
        to 10 bits of precision. This is unlikely to cause issues in practice
        for deep learning models. In some cases, TensorFloat-32 is also used for
        complex64 ops. TensorFloat-32 can be disabled by running
        `tf.config.experimental.enable_tensor_float_32_execution(False)`.

- Openapi-controller: remove the trailing `1` character literal from the rate limiting metric `APIServiceOpenAPIAggregationControllerQueue1` and rename it to `open_api_aggregation_controller` to adhere to Prometheus best practices. ([#77979](https://github.com/kubernetes/kubernetes/pull/77979), [@s-urbaniak](https://github.com/s-urbaniak)) [SIG API Machinery]