```mlir
    func @my_fn(%arg0: tensor<i32>, %arg1: tensor<i32>) -> (tensor<i32>, tensor<i32>) {
      %identity = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32>
      %identity_n:2 = "tf.IdentityN"(%arg1, %identity) : (tensor<i32>, tensor<i32>) -> (tensor<i32>, tensor<i32>)
      return %identity, %identity_n#0 : tensor<i32>, tensor<i32>
    }
    ```
  }];

    }

    /**
     * Determine the identity of the work unit that uniquely identifies it
     * among the other work units of the same type in the current build.
     */
    Identity identify(Map<String, ValueSnapshot> identityInputs, Map<String, CurrentFileCollectionFingerprint> identityFileInputs);

    interface Identity {
        /**
         * The identity of the work unit that uniquely identifies it

Laura Kassovic <******@****.***> 1701107622 -0800

Laura Kassovic <******@****.***> 1701107622 -0800

// convert the output type to the next op. Here are the transformations:
//
// input   min cst       max cst              input
//  \       |             |                     |
//   \  (tf.Identity) (tf.Identity)   =>   quant.qcast
//    \     |             |                     |
//       tf.FakeQuantWithMinMaxVars        quant.dcast
//                   |                          |
//

 * The converter can obtain the node identity for each node of the supported type via {@link #getNodeIdentity(Node)}.
 * <p>
 * Instances of this class are expected to be thread-safe.
 */
@NonNullApi
@ThreadSafe
public interface ToPlannedNodeConverter {

    /**
     * Type of node that this converter can identify and convert to a planned node.
     */

      tf_executor.yield
    }
    tf_executor.fetch %island : !tf_executor.control
  }
  func.return
}

// -----
// Tests handling of Cast, Identity, and IdentityN

!tf_res = tensor<*x!tf_type.resource<tensor<32xf32>>>
// CHECK-LABEL: func @aliasing_identities
func.func @aliasing_identities(%arg0: tensor<32xf32>) -> () {
  tf_executor.graph {
    // CHECK: tf_executor.island

// Test that the Identity op has been created to fetch the file prefix
// argument. It should also have control dependency to the `SaveV2` op.
// CHECK: %[[IDENTITY:.*]], %[[CTL_1:.*]] = tf_executor.island(%[[CTL_0]]) wraps "tf.Identity"(%[[ARG_0]])
// CHECK: tf_executor.fetch %[[CTL_1]] : !tf_executor.control
// CHECK: return

// -----

will be transformed into:

```mlir
func @my_fn(%arg0: tensor<i32>, %arg1: tensor<i32>) -> (tensor<i32>, tensor<i32>) {
  %identity = "tf.Identity"(%arg0) : (tensor<i32>) -> tensor<i32>
  %identity_n:2 = "tf.IdentityN"(%arg1, %identity) : (tensor<i32>, tensor<i32>) -> (tensor<i32>, tensor<i32>)
  return %identity, %identity_n#0 : tensor<i32>, tensor<i32>
}
```
### `-tf-executor-tpu-v1-island-coarsening`

                        visited_wrapped_ops, /*incoming=*/false)) {
    return failure();
  }
  return success();
}

// Whenever we find an Identity op that is unqualified, we remove this Identity
// op from the list `tpu_ops`. An unqualified Identity op indicates either its
// inputs or its outputs do not belong to the same cluster.
bool ExcludeIdentityOp(llvm::SmallDenseSet<Operation*>& tpu_ops,