"tf._XlaHostComputeMlir"() {recv_key = "host_compute_channel_recv", send_key = "host_compute_channel_send", host_mlir_module = ""} : () -> ()
    "mhlo.return"(%1) : (tensor<f32>) -> ()
  }) {dimensions = dense<[1]> : tensor<1xi64>} : (tensor<?x?xf32>, tensor<f32>) -> tensor<?xf32>
  func.return
}

// -----

// Tests transitive unsupported parent of TF/XLA communication op.

      while (auto cast_op =
                 llvm::dyn_cast_or_null<CastOp>(value.getDefiningOp())) {
        // Consider cast compatibility in case
        //    %cast = "tf.Cast"(%0) : (tensor<2xi64>) -> tensor<2xf32>
        // is skipped.
        if (cast_op.getSrcT() != cast_op.getDstT()) {
          break;
        }
        value = cast_op.getOperand();
      }
      return value;
    };