"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