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CREDITS
Major Component, or to implement a Standard Interface for which an implementation is available to the public in source code form. A "Major Component", in this context, means a major essential component (kernel, window system, and so on) of the specific operating system (if any) on which the executable work runs, or a compiler used to produce the work, or an object code interpreter used to run it.
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Sep 26 15:03:08 UTC 2024 - 1.6M bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.24.md
- Publishing kube-proxy metrics for Windows kernel-mode ([#106581](https://github.com/kubernetes/kubernetes/pull/106581), [@knabben](https://github.com/knabben))
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Thu Aug 24 00:02:43 UTC 2023 - 473.4K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.19.md
qualified domain name (FQDN) of a Pod is set as hostname of its containers. In Linux containers, this means setting the FQDN in the hostname field of the kernel (the nodename field of struct utsname). In Windows containers, this
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Wed Jan 05 05:42:32 UTC 2022 - 489.7K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.28.md
- Add `/sys/devices/virtual/powercap` to default masked paths. It avoids the potential security risk that the ability to read these files may offer a power-based sidechannel attack against any workloads running on the same kernel. ([#125970](https://github.com/kubernetes/kubernetes/pull/125970), [@carlory](https://github.com/carlory)) [SIG Node] - Fix a bug that Pods could stuck in the unschedulable pod pool
Registered: Fri Nov 01 09:05:11 UTC 2024 - Last Modified: Wed Oct 23 04:34:59 UTC 2024 - 456.9K bytes - Viewed (0) -
RELEASE.md
mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True) return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var + 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],
Registered: Tue Nov 05 12:39:12 UTC 2024 - Last Modified: Tue Oct 22 14:33:53 UTC 2024 - 735.3K bytes - Viewed (0)