format: int64
                            minimum: 0
                            type: integer
                          reason:
                            description: |-
                              reason contains a programmatic identifier indicating the reason for the condition's last transition.
                              Producers of specific condition types may define expected values and meanings for this field,

              }
            ],
            "description": "Extended data associated with the reason.  Each reason may define its own extended details. This field is optional and the data returned is not guaranteed to conform to any schema except that defined by the reason type.",
            "x-kubernetes-list-type": "atomic"
          },
          "kind": {

            "type": "string"
          },
          "reason": {
            "description": "reason is a unique, this should be a short, machine understandable string that gives the reason for condition's last transition. If it reports \"Resizing\" that means the underlying persistent volume is being resized.",
            "type": "string"
          },

							                    "uid": "abcdef123456",
							                    "controller": true
							                }
							            },
							            "reason": "some reason",
							            "message": "some message"
							        }
							    ]
							}`,
			},
		},
		Status: core.NodeStatus{
			Addresses: []core.NodeAddress{

performed instead:
```python
tf.cumulative_logsumexp([a, b, c], exclusive=True)  # => [-inf, a, log(exp(a) * exp(b))]
```
Note that the neutral element of the log-sum-exp operation is `-inf`,
however, for performance reasons, the minimal value representable by the
floating point type is used instead.

By setting the `reverse` kwarg to `True`, the cumulative log-sum-exp is performed in the
opposite direction.
  }];

    *   Added support for `FusedBatchNormV3` in converter.
    *   Add an `errno`-like field to `NNAPI` delegate for detecting `NNAPI`
        errors for fallback behaviour.
    *   Refactors `NNAPI` Delegate to support detailed reason why an operation
        is not accelerated.
    *   Converts hardswish subgraphs into atomic ops.
*   Other
    *   Critical stability updates for TPUs, especially in cases where the XLA