return op.getOperation();
}

// TODO(b/172664358): Creates a new op instead of reusing constant op.
// Creates a constant op with "tfl.is_variable" attribute to represent stateful
// variable. The function static variable `stateful_variable_idx` is used as a
// unique value for each constant to avoid CSEed. `tensor` is the data structure
// of flatbuffer. `shaped_type` is the ShapedType for the const op.

				tx.Add(&knftables.Set{
					Name: epInfo.affinitySetName,
					Type: ipvX_addr,
					Flags: []knftables.SetFlag{
						// The nft docs say "dynamic" is only
						// needed for sets containing stateful
						// objects (eg counters), but (at least on
						// RHEL8) if we create the set without
						// "dynamic", it later gets mutated to
						// have it, and then the next attempt to

  // `potential_refined_type`. Return true if the type was changed.
  bool RefineResultType(Operation* op, Value result,
                        Type potential_refined_type);

  // Infers the shape from a (Stateful)PartitionedCall operation by looking up
  // the called function and propagating the return type.
  bool InferShapeForCall(CallOpInterface call_op);

  bool InferShapeForCast(Operation* op);

- Emition of RecreatingFailedPod and RecreatingTerminatedPod events has been removed from stateful set lifecycle. ([#123809](https://github.com/kubernetes/kubernetes/pull/123809), [@atiratree](https://github.com/atiratree)) [SIG Apps and Testing]

            op_info && op_info->resource_kind() != XlaResourceKind::kVariable;
        if (!is_tensor_array_or_stack_op) {
          VLOG(2) << "Isolating " << node->name()
                  << ": must-be-constant stateful op";
          continue;
        }
      }
    }

    // This is a heuristic to avoid creating dependency between while loop

  // This preserves the order of the ops that was in the original parent
  // function. This is critical for preserving correctness in the presence of
  // resource variables and stateful functions.
  std::vector<Operation*> topological_order;
  for (Operation& op : parent_func.getOps())
    if (ops.contains(&op)) topological_order.push_back(&op);

  // Create the partitioned call

					t.Errorf("expected redirect %v, got %v", tt.redirect, h.RequireTls)
				}
				if tt.expectStatefulSession && h.TypedPerFilterConfig[util.StatefulSessionFilter] == nil {
					t.Errorf("expected per filter config for stateful session filter, but not found")
				}
			}

			if !maps.EqualFunc(tt.expectedVirtualHosts, vh, slices.Equal) {
				t.Errorf("got unexpected virtual hosts. Expected: %v, Got: %v", tt.expectedVirtualHosts, vh)

[] # - secretName: chart-example-tls # hosts: # - chart-example.local ## Node labels for pod assignment ## Ref: https://kubernetes.io/docs/user-guide/node-selection/ ## nodeSelector: {} tolerations: [] affinity: {} topologySpreadConstr: [] ## Add stateful containers to have security context, if enabled MinIO will run as this ## user and group NOTE: securityContext is only enabled if persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 fsGroupChangePolicy:...

[] # - secretName: chart-example-tls # hosts: # - chart-example.local ## Node labels for pod assignment ## Ref: https://kubernetes.io/docs/user-guide/node-selection/ ## nodeSelector: {} tolerations: [] affinity: {} topologySpreadConstr: [] ## Add stateful containers to have security context, if enabled MinIO will run as this ## user and group NOTE: securityContext is only enabled if persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 fsGroupChangePolicy:...

        number). These 3 APIs will allow user to disable and switch back to
        legacy behavior if they prefer. In future (eg TF 2.10), we expect to
        totally remove the legacy code path (stateful random Ops), and these 3
        APIs will be removed as well.
    *   `tf.keras.callbacks.experimental.BackupAndRestore` is now available as
        `tf.keras.callbacks.BackupAndRestore`. The experimental endpoint is