// CHECK-NEXT:     "tf.OpA"(%[[REDUCED]]) : (tensor<f32>) -> ()
  tf_device.replicate {n = 4 : i32} {
    "tf_device.cluster"() ({
      "tf.OpA"(%arg0) : (tensor<f32>) -> ()
      tf_device.return

          %0 = "tf.opA"(%arg0) : (tensor<f32>) -> tensor<f32>
          return %0 : tensor<f32>
        }
      }
    }
    ```

    will be transformed into:

    ```mlir
    module  {
      func @foo(%arg0: tensor<f32>) -> tensor<f32> {
        %0 = tf_executor.graph {
          %outputs, %control = tf_executor.island {
            %1 = "tf.opA"(%arg0) : (tensor<f32>) -> tensor<f32>

	}

	if authZPluginCfg.URL == nil {
		opaCfg, err := opa.LookupConfig(s[config.PolicyOPASubSys][config.Default],
			NewHTTPTransport(), xhttp.DrainBody)
		if err != nil {
			iamLogIf(ctx, fmt.Errorf("Unable to initialize AuthZPlugin from legacy OPA config: %w", err))
		} else {
			authZPluginCfg.URL = opaCfg.URL
			authZPluginCfg.AuthToken = opaCfg.AuthToken

    enableNamespacesByDefault: false
    # Mutations that occur after the sidecar injector are not handled by default, as the Istio sidecar injector is only run
    # once. For example, an OPA sidecar injected after the Istio sidecar will not have it's liveness/readiness probes rewritten.
    # Setting this to `IfNeeded` will result in the sidecar injector being run again if additional mutations occur.

    enableNamespacesByDefault: false

    # Mutations that occur after the sidecar injector are not handled by default, as the Istio sidecar injector is only run
    # once. For example, an OPA sidecar injected after the Istio sidecar will not have it's liveness/readiness probes rewritten.
    # Setting this to `IfNeeded` will result in the sidecar injector being run again if additional mutations occur.

This operation holds a replicated input to a `tpu.replicate()` computation subgraph.
Each replicated input has the same shape and type alongside the output.

For example:
```
%a = "tf.opA"()
%b = "tf.opB"()
%replicated_input = "tf.TPUReplicatedInput"(%a, %b)
%computation = "tf.Computation"(%replicated_input)
```
The above computation has a replicated input of two replicas.
  }];