- [v1.19.6](#v1196)
  - [Downloads for v1.19.6](#downloads-for-v1196)
    - [Source Code](#source-code-10)
    - [Client binaries](#client-binaries-10)
    - [Server binaries](#server-binaries-10)
    - [Node binaries](#node-binaries-10)
  - [Changelog since v1.19.5](#changelog-since-v1195)
  - [Changes by Kind](#changes-by-kind-10)
    - [Feature](#feature-5)
    - [Bug or Regression](#bug-or-regression-9)

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pkg syscall (freebsd-arm64), const AF_ATM ideal-int
pkg syscall (freebsd-arm64), const AF_BLUETOOTH = 36
pkg syscall (freebsd-arm64), const AF_BLUETOOTH ideal-int
pkg syscall (freebsd-arm64), const AF_CCITT = 10
pkg syscall (freebsd-arm64), const AF_CCITT ideal-int
pkg syscall (freebsd-arm64), const AF_CHAOS = 5
pkg syscall (freebsd-arm64), const AF_CHAOS ideal-int
pkg syscall (freebsd-arm64), const AF_CNT = 21

            - url
            type: object
            x-kubernetes-validations:
            - message: only one of targetRefs or selector can be set
              rule: (has(self.selector)?1:0)+(has(self.targetRef)?1:0)+(has(self.targetRefs)?1:0)<=1
          status:
            properties:
              conditions:
                description: Current service state of the resource.
                items:

        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
        keepdims=True) # Author code uses std + 1e-5 return
        super().convolution_op(inputs, (kernel - mean) / tf.sqrt(var + 1e-10))`

pkg syscall (freebsd-riscv64), type Stat_t struct, Rdev uint64 #53466
pkg syscall (freebsd-riscv64), type Stat_t struct, Size int64 #53466
pkg syscall (freebsd-riscv64), type Stat_t struct, Spare [10]uint64 #53466
pkg syscall (freebsd-riscv64), type Stat_t struct, Uid uint32 #53466
pkg syscall (freebsd-riscv64), type Statfs_t struct #53466
pkg syscall (freebsd-riscv64), type Statfs_t struct, Asyncreads uint64 #53466