# Release 1.13.0

## Major Features and Improvements

*   TensorFlow Lite has moved from contrib to core. This means that Python
    modules are under `tf.lite` and source code is now under `tensorflow/lite`
    rather than `tensorflow/contrib/lite`.
*   TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0.
*   Support for Python3.7 on all operating systems.

* 🌐 Add Korean translation for `docs/ko/docs/tutorial/header-param-models.md`. PR [#13001](https://github.com/fastapi/fastapi/pull/13001) by [@hard-coders](https://github.com/hard-coders).
* 🌐 Add Korean translation for `docs/ko/docs/tutorial/request-form-models.md`. PR [#13002](https://github.com/fastapi/fastapi/pull/13002) by [@hard-coders](https://github.com/hard-coders).

From Kubernetes 1.20 onwards, SIG Architecture will implement a new policy to transition all REST APIs out of beta within nine months. The idea behind the new policy is to avoid features staying in beta for a long time. Once a new API enters beta, it will have nine months to either:

 - reach GA, and deprecate the beta, or
 - have a new beta version _(and deprecate the previous beta)_.

/*
 * Copyright 2012-2025 CodeLibs Project and the Others.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

func getEntropy() *[SeedSize]byte { var retries int seed, err := entropy.Seed(&memory) for err != nil { // The CPU jitter-based SP 800-90B entropy source has a non-negligible // chance of failing the startup health tests. // // Each time it does, it enters a permanent failure state, and we // restart it anew. This is not expected to happen more than a few times // in a row. if retries++; retries > 100 { panic("fips140/drbg: failed to obtain initial entropy") } seed, err = entropy.Seed(&memory) } return...