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CHANGELOG/CHANGELOG-1.8.md
For the 1.8 release, SIG Scheduling extended the concept of cluster sharing by introducing pod priority and pod preemption. These features allow mixing various types of workloads in a single cluster, and help reach higher levels of resource utilization and availability. These features are in alpha. SIG Scheduling also improved the internal APIs for scheduling and made them easier for other components and external schedulers to use.
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CHANGELOG/CHANGELOG-1.19.md
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CHANGELOG/CHANGELOG-1.17.md
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Thu Jan 28 10:44:33 UTC 2021 - 346.2K bytes - Viewed (1) -
CHANGELOG/CHANGELOG-1.25.md
- The `priority_level_request_utilization` metric histogram is adjusted so that for the cases where `phase=waiting` the denominator is the cumulative capacity of all of the priority level's queues.
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CHANGELOG/CHANGELOG-1.18.md
Registered: Fri Sep 05 09:05:11 UTC 2025 - Last Modified: Wed Jun 16 17:18:28 UTC 2021 - 373.2K bytes - Viewed (0) -
CHANGELOG/CHANGELOG-1.6.md
* StatefulSet will now fill the...
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docs/en/docs/release-notes.md
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CHANGELOG/CHANGELOG-1.16.md
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doc/go_spec.html
statements, not expressions, they fall outside the operator hierarchy. As a consequence, statement <code>*p++</code> is the same as <code>(*p)++</code>. </p> <p> There are five precedence levels for binary operators. Multiplication operators bind strongest, followed by addition operators, comparison operators, <code>&&</code> (logical AND), and finally <code>||</code> (logical OR): </p>
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RELEASE.md
[Debugger V2](https://www.tensorflow.org/tensorboard/debugger_v2), which reveals the details of the TensorFlow program including graph structures, history of op executions at the Python (eager) and intra-graph levels, the runtime dtype, shape, and numerical composition of tensors, as well as their code locations. ## Breaking Changes * Increases the **minimum bazel version** required to build TF to **3.1.0**.
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