*   `tf.nn.embedding_lookup_sparse`

    *   Optimized this function for some cases by fusing internal operations.

*   `tf.saved_model.SaveOptions`

	}

	// Success Cases:
	// Validate normal success cases - only PVC volumeSource or generic ephemeral volume
	if errs := ValidateVolumeDevices(successCase, GetVolumeMountMap(goodVolumeMounts), vols, field.NewPath("field")); len(errs) != 0 {
		t.Errorf("expected success: %v", errs)
	}

	// Error Cases:
	// Validate normal error cases - only PVC volumeSource
	for k, v := range errorCases {

                                      tf.constant(0, dtype=dtype))]

  expected = tf.constant([0, 0, 0, 0], dtype=tf.float32)
  tf.assert_equal(tf.cast(not_a_and_a, tf.float32), expected)

  expected = tf.cast([not_0] * 4, tf.float32)
  tf.assert_equal(tf.cast(not_a_or_a, tf.float32), expected)

  # For unsigned dtypes let's also check the result directly.
  if dtype.is_unsigned:

          }
        },
        "type": "object"
      },
      "io.k8s.api.core.v1.CephFSVolumeSource": {
        "description": "Represents a Ceph Filesystem mount that lasts the lifetime of a pod Cephfs volumes do not support ownership management or SELinux relabeling.",
        "properties": {
          "monitors": {