- The HugePageStorageMediumSize feature gate is now on by default allowing usage of multiple sizes huge page resources on a container level. ([#90592](https://github.com/kubernetes/kubernetes/pull/90592), [@bart0sh](https://github.com/bart0sh)) [SIG Node]

rem = $rfs-rem-value px\n$rfs-rem-value: 16 !default;\n\n// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14\n$rfs-safari-iframe-resize-bug-fix: false !default;\n\n// Disable RFS by setting $enable-responsive-font-sizes to false\n$enable-responsive-font-sizes: true !default;\n\n// Cache $rfs-base-font-size unit\n$rfs-base-font-size-unit: unit($rfs-base-font-size);\n\n@function divide($dividend, $divisor, $precision: 10) {\n  $sign: if($dividend > 0 and $divisor > 0 or $dividend < 0 and...

inline-flex !important;\n  }\n  .d-print-none {\n    display: none !important;\n  }\n}\n\n/*# sourceMappingURL=bootstrap.css.map */","// stylelint-disable scss/dimension-no-non-numeric-values\n\n// SCSS RFS mixin\n//\n// Automated responsive values for font sizes, paddings, margins and much more\n//\n// Licensed under MIT (https://github.com/twbs/rfs/blob/main/LICENSE)\n\n// Configuration\n\n// Base value\n$rfs-base-value: 1.25rem !default;\n$rfs-unit: rem !default;\n\n@if $rfs-unit != rem and $rfs-unit !=...

V{{ block_reg $i }}.B16, V{{ add $.DstOffset $i }}.B16 {{- end }} {{- range regs_batches $.DstOffset $N }} VST1.P [{{ .Regs }}], {{ .Size }}(DST) {{- end }} RET {{ end }} ` func main() { type Params struct { DstOffset int Sizes []int } params := Params{ DstOffset: dstOffset, Sizes: []int{1, 2, 4, 8}, } type RegsBatch struct { Size int Regs string // Comma-separated list of registers. } type LoadKeysArgs struct { FirstKey int NKeys int } type EncArgs struct { Key int N int WithMc bool } funcs := template.FuncMap{...

*   Support for Python3.9 has been added.
*   `tf.data`:
    *   `tf.data` service now supports strict round-robin reads, which is useful
        for synchronous training workloads where example sizes vary. With strict
        round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would