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  1. CHANGELOG/CHANGELOG-1.13.md

      - If the custom resource participates the spec/status convention, the metadata.generation of the CR increments when there is any change, except for the changes to the metadata or the changes to the status.
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  2. tensorflow/c/c_api.h

    // In-process TensorFlow server functionality, for use in distributed training.
    // A Server instance encapsulates a set of devices and a Session target that
    // can participate in distributed training. A server belongs to a cluster
    // (specified by a ClusterSpec), and corresponds to a particular task in a
    // named job. The server can communicate with any other server in the same
    // cluster.
    
    C
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  3. docs/en/docs/release-notes.md

    Time flows from top to bottom. And each column is one of the parts interacting or executing code.
    
    ```mermaid
    sequenceDiagram
    
    participant client as Client
    participant handler as Exception handler
    participant dep as Dep with yield
    participant operation as Path Operation
    participant tasks as Background tasks
    
        Note over client,tasks: Can raise exception for dependency, handled after response is sent
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  4. maven-core/src/test/resources/apiv4-repo/junit/junit/4.13.1/junit-4.13.1.jar

    notify the Commercial Contributor in writing of such claim, and b) allow the Commercial Contributor to control, and cooperate with the Commercial Contributor in, the defense and any related settlement negotiations. The Indemnified Contributor may participate in any such claim at its own expense. For example, a Contributor might include the Program in a commercial product offering, Product X. That Contributor is then a Commercial Contributor. If that Commercial Contributor then makes performance claims,...
    Archive
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  5. CHANGELOG/CHANGELOG-1.15.md

    - Promoted meta.k8s.io/v1beta1 Table and PartialObjectMetadata to v1. ([#77136](https://github.com/kubernetes/kubernetes/pull/77136),...
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  6. RELEASE.md

        was the previous way of updating variables in this situation.
    *   `tf.distribute.experimental.MultiWorkerMirroredStrategy` adds support for
        partial batches. Workers running out of data now continue to participate in
        the training with empty inputs, instead of raising an error. Learn more
        about
        [partial batches here](https://www.tensorflow.org/tutorials/distribute/input#partial_batches).
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  7. CREDITS

    writing of such claim, and b) allow the Commercial Contributor to control,
    and cooperate with the Commercial Contributor in, the defense and any
    related settlement negotiations. The Indemnified Contributor may
    participate in any such claim at its own expense.
    
    For example, a Contributor might include the Program in a commercial
    product offering, Product X. That Contributor is then a Commercial
    Plain Text
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    - Last Modified: Fri Apr 26 06:31:35 GMT 2024
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