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input.mlir

module {
dataflow.thread private @thread_0 domain(#dataflow.thread_domain<dense>)(%target: memref<1xi32>, %value: i32, %enabled: i1)
    ctrl (%ctrl: none) {
      %region_out = "loom.spatial_region"(%value)
          <{operandSegmentSizes = array<i32: 1, 0, 0, 0>,
            resultSegmentSizes = array<i32: 1, 0>}> ({
        ^bb0(%payload: i32):
          %doubled = arith.addi %payload, %payload : i32
          "loom.spatial_yield"(%doubled)
              <{operandSegmentSizes = array<i32: 1, 0>}> : (i32) -> ()
      }) {graph_name = "graph_0", source_maps = []} : (i32) -> i32
  dataflow.thread.yield
}

dataflow.thread private @thread_1 domain(#dataflow.thread_domain<dense>)(%target: memref<1xi32>, %value: i32, %enabled: i1)
    ctrl (%ctrl: none) {
      "loom.spatial_region"(%value, %target)
          <{operandSegmentSizes = array<i32: 1, 0, 1, 0>,
            resultSegmentSizes = array<i32: 0, 0>}> ({
        ^bb0(%payload: i32, %memory: memref<1xi32>):
          %zero = arith.constant 0 : index
          memref.store %payload, %memory[%zero] : memref<1xi32>
          "loom.spatial_yield"()
              <{operandSegmentSizes = array<i32: 0, 0>}> : () -> ()
      }) {graph_name = "graph_1", source_maps = []} : (i32, memref<1xi32>) -> ()
  dataflow.thread.yield
}

dataflow.thread private @thread_2 domain(#dataflow.thread_domain<dense>)(%target: memref<1xi32>, %value: i32, %enabled: i1)
    ctrl (%ctrl: none) {
      "loom.spatial_region"()
          <{operandSegmentSizes = array<i32: 0, 0, 0, 0>,
            resultSegmentSizes = array<i32: 0, 0>}> ({
        ^bb0:
          "loom.spatial_yield"()
              <{operandSegmentSizes = array<i32: 0, 0>}> : () -> ()
      }) {graph_name = "graph_2", source_maps = []} : () -> ()
  dataflow.thread.yield
}

}