host_compute_core = [], input_sharding_configuration = ["\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00"], num_cores_per_replica = 1 : i64, output_sharding_configuration = ["\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00", "\08\01\1A\01\01\22\01\00"], step_marker_location...

      NumDynamicShapes = 0 : i64,
      // The metadata encodes 2 parameter and two return values.
      metadata = "\0A\0E\08\01\18\01\22\08\08\01\1A\01\01\22\01\00\0A \08\01\12\10\12\02\08\03\12\02\08\03\12\02\08\01\12\02\08 \18\01\22\08\08\01\1A\01\01\22\01\00\12\0A\0A\08\08\01\1A\01\01\22\01\00\12\0A\0A\08\08\01\1A\01\01\22\01\00\18\02 \01",
      mlir_module = "..."} : () -> (tensor<!tf_type.string>, tensor<2x!tf_type.string>)

  // CHECK: input_sharding_configuration
  // CHECK-SAME: ["\08\01\1A\01\01\22\01\00"]
  // CHECK: output_sharding_configuration
  // CHECK-SAME: ["\08\01\1A\01\01\22\01\00"]
  func.return
}

// CHECK-LABEL: func @func_without_sharding
// CHECK-SAME: (%{{[a-z0-9]+}}: tensor<*xi32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"})
// CHECK-SAME: -> (tensor<*xi32> {mhlo.sharding = "\08\01\1A\01\01\22\01\00"})

        given:
        def consoleOutput = """\u001B[1A\u001B[1m> Connecting to Daemon\u001B[m\u001B[22D
\u001B[1A\u001B[90m> IDLE\u001B[39m\u001B[0K\u001B[6D
\u001B[1A\u001B[1m<-------------> 0% CONFIGURING [0s]\u001B[m\u001B[35D\u001B[1B\u001B[1m> root project\u001B[m\u001B[14D

              metadata = "\0A\0E\08\01\18\01\22\08\08\01\1A\01\01\22\01\00\0A \08\01\12\10\12\02\08\03\12\02\08\03\12\02\08\01\12\02\08 \18\01\22\08\08\01\1A\01\01\22\01\00\0A\0E\08\01\18\01\22\08\08\01\1A\01\01\22\01\00\12\0A\0A\08\08\01\1A\01\01\22\01\00\12\0A\0A\08\08\01\1A\01\01\22\01\00\12\0A\0A\08\08\01\1A\01\01\22\01\00\18\02 \01",

      func.func @main(%arg0: tensor<2x2xf32>) -> (tensor<2x2xf32> {mhlo.sharding = "\08\03\1A\02\02\01\22\02\00\01"}) {
        %0 = tf_executor.graph {
          %outputs, %control = tf_executor.island wraps "tf.XlaSharding"(%arg0) {_XlaSharding = "\08\03\1A\02\02\01\22\02\00\01", sharding = "\08\03\1A\02\02\01\22\02\00\01"} : (tensor<2x2xf32>) -> tensor<2x2xf32>

00000230  09 2a 86 48 86 f7 0d 01  01 0b 05 00 03 81 81 00  |.*.H............|
00000240  9d 30 cc 40 2b 5b 50 a0  61 cb ba e5 53 58 e1 ed  |.0.@+[P.a...SX..|
00000250  83 28 a9 58 1a a9 38 a4  95 a1 ac 31 5a 1a 84 66  |.(.X..8....1Z..f|
00000260  3d 43 d3 2d d9 0b f2 97  df d3 20 64 38 92 24 3a  |=C.-...... d8.$:|
00000270  00 bc cf 9c 7d b7 40 20  01 5f aa d3 16 61 09 a2  |....}.@ ._...a..|

00000220  03 04 02 01 05 00 a1 1c  30 1a 06 09 2a 86 48 86  |........0...*.H.|
00000230  f7 0d 01 01 08 30 0d 06  09 60 86 48 01 65 03 04  |.....0...`.H.e..|
00000240  02 01 05 00 a2 03 02 01  20 03 81 81 00 cd ac 4e  |........ ......N|
00000250  f2 ce 5f 8d 79 88 10 42  70 7f 7c bf 1b 5a 8a 00  |.._.y..Bp.|..Z..|
00000260  ef 19 15 4b 40 15 17 71  00 6c d4 16 26 e5 49 6d  |...K@..q.l..&.Im|

00000090  01 08 9f 6e 1a fd 00 68  38 5c 93 d9 9a f7 1e 36  |...n...h8\.....6|
000000a0  ea 17 03 03 00 3e 9f ae  80 ef f4 20 66 e7 44 fc  |.....>..... f.D.|
000000b0  4d a4 3f 0e dc bb 33 47  0f 13 96 fa 03 07 d6 6f  |M.?...3G.......o|
000000c0  cc 9f 3c fd 01 f5 87 d9  ec c9 d0 fc dd bf c8 5c  |..<............\|
000000d0  0b 3d aa a7 c6 1d 90 18  d9 a1 1a a0 a1 ea 49 32  |.=............I2|

					},
				},
			},
			newEPS: &discovery.EndpointSlice{
				Endpoints: []discovery.Endpoint{
					{
						Hostname:           ptr.To("hostname-1a"),
						DeprecatedTopology: map[string]string{corev1.LabelHostname: "node-1", "other": "value"},
					},
					{
						Hostname:           ptr.To("hostname-1b"),