[{"id":"87b6d8d0-b2b6-11e9-b23e-033a71496733","name":"panel_0","type":"visualization"},{"id":"1523d560-b2b7-11e9-b23e-033a71496733","name":"panel_1","type":"visualization"},{"id":"a9a84830-b2ba-11e9-b23e-033a71496733","name":"panel_2","type":"visualization"},{"id":"3826fb80-b2be-11e9-b23e-033a71496733","name":"panel_3","type":"visualization"},{"id":"9ac57e90-b2c0-11e9-b23e-033a71496733","name":"panel_4","type":"visualization"},{"id":"cdcfe690-b2c0-11e9-b23e-033a71496733","name":"panel_5","type":...

*   [TensorFlow model optimization roadmap](https://www.tensorflow.org/model_optimization/guide/roadmap)
*   [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
*   [TensorBoard Visualization Toolkit](https://github.com/tensorflow/tensorboard)
*   [TensorFlow Code Search](https://cs.opensource.google/tensorflow/tensorflow)

Learn more about the

    multiple times.
*   Added a solver for ordinary differential equations,
    `tf.contrib.integrate.odeint`.
*   New contrib module for tensors with named axes, `tf.contrib.labeled_tensor`.
*   Visualization of embeddings in TensorBoard.

## Breaking Changes to the API

*   `BusAdjacency` enum replaced with a protocol buffer `DeviceLocality`. PCI

        with:
          distribution: 'temurin'
          java-version: 21

      - name: Enable KVM group perms
        # https://github.blog/changelog/2023-02-23-hardware-accelerated-android-virtualization-on-actions-windows-and-linux-larger-hosted-runners/
        run: |
          echo 'KERNEL=="kvm", GROUP="kvm", MODE="0666", OPTIONS+="static_node=kvm"' | sudo tee /etc/udev/rules.d/99-kvm4all.rules

labels.pathmap_configuration=Mapeo de rutas
labels.pathmap_title_details=Mapeo de rutas
labels.disabled=Deshabilitado
labels.pathmap_pt_crawling=Rastreo
labels.pathmap_pt_displaying=Visualización
labels.pathmap_pt_both=Rastreo/Visualización
labels.pathmap_pt_stored=Conversión de URL extraída
labels.regular_name=Nombre regular
labels.duplicate_name=Nombre duplicado
labels.duplicate_host_configuration=Host duplicado

Server Virtual Machines as nodes to your Kubernetes environment, there is a compatibility issue with certain virtualization products. Specifically the Windows version of the kubelet.exe calls `GetPhysicallyInstalledSystemMemory` to get the physical memory installed on Windows machines and reports it as part of node metrics to heapster. This API call fails for VMware and VirtualBox virtualization environments. This issue is not present in bare metal Windows deployments, in Hyper-V, or on some of the popular...