*   Extend scatter operations to work with a scalar update parameter.
    *   Move cuDNN RNN ops to core for use in TensorFlow codebase only.
    *   Add `float64` support for `Conv2d`, `Conv2dBackpropInput`, and
        `Conv2dBackpropFilter`.
    *   Add `float64` support for `AvgPool`/`AvgPoolGrad`.
    *   Make graph name scope thread local so that they work correctly in
        multi-threaded environments.

SIG Network has graduated the widely used [Ingress API](https://kubernetes.io/docs/concepts/services-networking/ingress/) to general availability in Kubernetes 1.19. This change recognises years of hard work by Kubernetes contributors, and paves the way for further work on future networking APIs in Kubernetes.

### seccomp graduates to General Availability

    * This is not really a bug in FastAPI but in Swagger UI, nevertheless pinning the version will work while a solution is found on the [Swagger UI side](https://github.com/swagger-api/swagger-ui/issues/9337).

### Docs

Maximum breakpoint width. Null for the largest (last) breakpoint.\n// The maximum value is calculated as the minimum of the next one less 0.02px\n// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(sm, (xs: 0, sm: 576px, md: 768px,...

$min: map-get($breakpoints, $name);\n  @return if($min != 0, $min, null);\n}\n\n// Maximum breakpoint width.\n// The maximum value is reduced by 0.02px to work around the limitations of\n// `min-` and `max-` prefixes and viewports with fractional widths.\n// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max\n// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.\n// See https://bugs.webkit.org/show_bug.cgi?id=178261\n//\n//    >> breakpoint-max(md, (xs: 0, sm: 576px, md:...

2F2E          ; mapped                 ; 5DDB          # 3.0  KANGXI RADICAL RIVER
2F2F          ; mapped                 ; 5DE5          # 3.0  KANGXI RADICAL WORK
2F30          ; mapped                 ; 5DF1          # 3.0  KANGXI RADICAL ONESELF
2F31          ; mapped                 ; 5DFE          # 3.0  KANGXI RADICAL TURBAN

reducing modulo m each time. for i >= 0 { out.shiftIn(x.limbs[i], m) i-- } return out } // ExpandFor ensures x has the right size to work with operations modulo m. // // The announced size of x must be smaller than or equal to that of m. func (x *Nat) ExpandFor(m *Modulus) *Nat { return x.expand(len(m.nat.limbs)) } // resetFor ensures out has the right size to work with operations modulo m. // // out is zeroed and may start at any size. func (out *Nat) resetFor(m *Modulus) *Nat { return out.reset(len(m.nat.limbs))...