as gradient clipping).
*   Improvements to Keras preprocessing layers:
    *   TextVectorization can now accept a vocabulary list or file as an init
        arg.
    *   Normalization can now accept mean and variance values as init args.
*   In `Attention` and `AdditiveAttention` layers, the `call()` method now
    accepts a `return_attention_scores` argument. When set to True, the layer

## Changelog since v1.12.0

### Other notable changes

* kubeadm now allows mixing of init/cluster and join configuration in a single YAML file (although a warning gets printed in this case).  ([#69426](https://github.com/kubernetes/kubernetes/pull/69426), [@rosti](https://github.com/rosti))

pkg syscall (windows-amd64), type SysProcAttr struct, ProcessAttributes *SecurityAttributes
pkg syscall (windows-amd64), type SysProcAttr struct, ThreadAttributes *SecurityAttributes
pkg testing, func Init()
pkg testing, method (*B) ReportMetric(float64, string)
pkg testing, type BenchmarkResult struct, Extra map[string]float64
pkg text/template, method (ExecError) Unwrap() error

pkg debug/elf, const DT_FINI_ARRAYSZ = 28
pkg debug/elf, const DT_FLAGS = 30
pkg debug/elf, const DT_HASH = 4
pkg debug/elf, const DT_HIOS = 1879044096
pkg debug/elf, const DT_HIPROC = 2147483647
pkg debug/elf, const DT_INIT = 12
pkg debug/elf, const DT_INIT_ARRAY = 25
pkg debug/elf, const DT_INIT_ARRAYSZ = 27
pkg debug/elf, const DT_JMPREL = 23
pkg debug/elf, const DT_LOOS = 1610612749
pkg debug/elf, const DT_LOPROC = 1879048192