*   Added `tf.keras.__internal__.KerasTensor`,`tf.keras.__internal__.SparseKerasTensor`, and `tf.keras.__internal__.RaggedKerasTensor` classes. You can use these classes to do instance type checking and type annotations for layer/model inputs and outputs.

b = tf.Variable(np.nan)
try:
  tf.debugging.check_numerics(b, message='Checking b')
except Exception as e:
  assert "Checking b : Tensor had NaN values" in e.message

c = tf.Variable(np.inf)
try:
  tf.debugging.check_numerics(c, message='Checking c')
except Exception as e:
  assert "Checking c : Tensor had Inf values" in e.message
```
  }];

  let arguments = (ins

- Fix: skip case sensitivity when checking Azure NSG rules
  fix: ensure InstanceShutdownByProviderID return false for creating Azure VMs ([#104449](https://github.com/kubernetes/kubernetes/pull/104449), [@feiskyer](https://github.com/feiskyer)) [SIG Cloud Provider]

          },
          "service": {
            "default": "",
            "description": "Service is the name of the service to place in the gRPC HealthCheckRequest (see https://github.com/grpc/grpc/blob/master/doc/health-checking.md).\n\nIf this is not specified, the default behavior is defined by gRPC.",
            "type": "string"
          }
        },
        "required": [
          "port"
        ],