CPU.
        *   `tf.nn.gelu` op for output data type `tf.float32` and quantization
            on CPU.
    *   Add nominal support for unsigned 16-bit integer tensor types. Note that
        very few TFLite kernels support this type natively, so its use in mobile
        ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.

    display: block;\n    width: $custom-control-indicator-size;\n    height: $custom-control-indicator-size;\n    content: \"\";\n    background: 50% / #{$custom-control-indicator-bg-size} no-repeat;\n  }\n}\n\n\n// Checkboxes\n//\n// Tweak just a few things for checkboxes.\n\n.custom-checkbox {\n  .custom-control-label::before {\n    @include border-radius($custom-checkbox-indicator-border-radius);\n  }\n\n  .custom-control-input:checked ~ .custom-control-label {\n    &::after {\n      background-image:...

simply\n//    be added to `.form-control` as it's not specific enough. For details, see\n//    https://github.com/twbs/bootstrap/issues/11586.\n\n[type=\"search\"] {\n  outline-offset: -2px; // 1\n  -webkit-appearance: textfield; // 2\n}\n\n// 1. A few input types should stay LTR\n// See https://rtlstyling.com/posts/rtl-styling#form-inputs\n// 2. RTL only output\n// See https://rtlcss.com/learn/usage-guide/control-directives/#raw\n\n/* rtl:raw:\n[type=\"tel\"],\n[type=\"url\"],\n[type=\"email\"],\n[type=\"number\"]...

## 0.112.3

This release is mainly internal refactors, it shouldn't affect apps using FastAPI in any way. You don't even have to upgrade to this version yet. There are a few bigger releases coming right after. 🚀

### Refactors

Element{rr0, rr1, rr2, rr3, rr4} v.carryPropagate() } func feSquareGeneric(v, a *Element) { l0 := a.l0 l1 := a.l1 l2 := a.l2 l3 := a.l3 l4 := a.l4 // Squaring works precisely like multiplication above, but thanks to its // symmetry we get to group a few terms together. // // l4 l3 l2 l1 l0 x // l4 l3 l2 l1 l0 = // ---------- // l4l0 l3l0 l2l0 l1l0 l0l0 + // l4l1 l3l1 l2l1 l1l1 l0l1 + // l4l2 l3l2 l2l2 l1l2 l0l2 + // l4l3 l3l3 l2l3 l1l3 l0l3 + // l4l4 l3l4 l2l4 l1l4 l0l4 = // ---------- // r8 r7 r6...