},
          "rbd": {
            "allOf": [
              {
                "$ref": "#/components/schemas/io.k8s.api.core.v1.RBDVolumeSource"
              }
            ],

      tensors will be split into shards when the saver writes the checkpoint
      shards to disk. `tf.train.experimental.ShardByTaskPolicy` is the default
      sharding behavior, but `tf.train.experimental.MaxShardSizePolicy` can be
      used to shard the checkpoint with a maximum shard file size. Users with
      advanced use cases can also write their own custom

    merged[indices[m][i], ...] = data[m][i, ...]
```

Each `data[i].shape` must start with the corresponding `indices[i].shape`,
and the rest of `data[i].shape` must be constant w.r.t. `i`.  That is, we
must have `data[i].shape = indices[i].shape + constant`.  In terms of this
`constant`, the output shape is

    merged.shape = [max(indices) + 1] + constant

						SecretName: "key",
						ShareName:  "share",
						ReadOnly:   false,
					},
				},
			},
		}, {
			name: "AzureFile empty secret",
			vol: core.Volume{
				Name: "azure-file",
				VolumeSource: core.VolumeSource{
					AzureFile: &core.AzureFileVolumeSource{
						SecretName: "",
						ShareName:  "share",
						ReadOnly:   false,
					},
				},
			},