rule: duration(self) >= duration('1ms')
                      idleTimeout:
                        description: The idle timeout for TCP connections.
                        type: string
                        x-kubernetes-validations:
                        - message: must be a valid duration greater than 1ms

                          rule: duration(self) >= duration('1ms')
                      idleTimeout:
                        description: The idle timeout for TCP connections.
                        type: string
                        x-kubernetes-validations:
                        - message: must be a valid duration greater than 1ms

  "description": "podManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down. The default policy is `OrderedReady`, where pods are created in increasing order (pod-0, then pod-1, etc) and the controller will wait until each pod is ready before continuing. When scaling down, the pods are removed in the opposite order. The alternative policy is `Parallel` which will create pods in parallel to match the desired scale without waiting,...

partial order.  Positive NaNs are greater than positive
infinity. Negative NaNs are less than negative infinity. NaNs with
distinct payloads are treated as distinct. Subnormal numbers are
preserved (not flushed to zero). Positive infinity is greater than all
numbers. Negative infinity is less than all numbers. Positive is
greater than negative zero. There are less than k values greater than

	}, {
		args: args{
			probe: &core.Probe{
				ProbeHandler:   core.ProbeHandler{Exec: &core.ExecAction{Command: []string{"echo"}}},
				TimeoutSeconds: -1,
			},
			fldPath: fldPath,
		},
		want: field.ErrorList{field.Invalid(fldPath.Child("timeoutSeconds"), -1, "must be greater than or equal to 0")},
	}, {
		args: args{

        structures of `tensors` as inputs (instead of just a list of tensors).
        Note that Python structures such as tuples and lists now won't be
        treated as tensors, so if you still want them to be treated that way,
        you need to wrap them with `tf.convert_to_tensor`.
    *   No lowering on gradient case op when input is `DeviceIndex` op.