- It can be used to provide scratch storage that is different from the root disk, for example persistent memory, or a separate local disk on that node.
 - All StorageClass parameters for volume provisioning are supported.
 - All features supported with PersistentVolumeClaims are supported, such as storage capacity tracking, snapshots and restore, and volume resizing.

    for TensorFlow <= 1.0.1. For example, writing: `MultiRNNCell([lstm] * 5)`
    will now build a 5-layer LSTM stack where each layer shares the **same**
    parameters. To get 5 layers each with their own parameters, write:
    `MultiRNNCell([LSTMCell(...) for _ in range(5)])`. If at all unsure, first
    test your code with TF 1.1; ensure it raises no errors, and then upgrade to
    TF 1.2.

                                  type: string
                              type: object
                            description: Query parameters for matching.
                            type: object
                          scheme:
                            description: 'URI Scheme values are case-sensitive and