// CHECK:  [[VAL_2:%.*]] = "tfl.concatenation"([[VAL_0]], [[VAL_1]]) <{axis = 3 : i32, fused_activation_function = "NONE"}> {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<1x1x1x2xf32>
// CHECK:  [[VAL_3:%.*]] = "tfl.reshape"([[VAL_2]], %{{.*}}) : (tensor<1x1x1x2xf32>, tensor<2xi32>) -> tensor<2x1xf32>

#endif

#if !GTEST_DONT_DEFINE_ASSERT_LE
# define ASSERT_LE(val1, val2) GTEST_ASSERT_LE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_LT
# define ASSERT_LT(val1, val2) GTEST_ASSERT_LT(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GE
# define ASSERT_GE(val1, val2) GTEST_ASSERT_GE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GT

#endif

#if !GTEST_DONT_DEFINE_ASSERT_LE
# define ASSERT_LE(val1, val2) GTEST_ASSERT_LE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_LT
# define ASSERT_LT(val1, val2) GTEST_ASSERT_LT(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GE
# define ASSERT_GE(val1, val2) GTEST_ASSERT_GE(val1, val2)
#endif

#if !GTEST_DONT_DEFINE_ASSERT_GT

// CHECK:           %[[VAL_1:.*]] = "tfl.hard_swish"(%[[VAL_0]]) : (tensor<2xf32>) -> tensor<2xf32>
// CHECK:           %[[VAL_2:.*]] = "tf.Identity"(%[[VAL_1]]) {device = ""} : (tensor<2xf32>) -> tensor<*xf32>
// CHECK:           %[[VAL_3:.*]] = "tf.Identity"(%[[VAL_2]]) {device = ""} : (tensor<*xf32>) -> tensor<*xf32>
// CHECK:           return %[[VAL_3]] : tensor<*xf32>
// CHECK:         }

		var lower, higher uint64
		val1 := n.AuxUnsigned()
		for val2, ptr := range po.constants {
			val2 := uint64(val2)
			if val1 == val2 {
				panic("unreachable")
			}
			if val2 < val1 && (lowerptr == 0 || val2 > lower) {
				lower = val2
				lowerptr = ptr
			} else if val2 > val1 && (higherptr == 0 || val2 < higher) {
				higher = val2
				higherptr = ptr
			}
		}
	} else {

};

// Check if given indices in `val1` has same number of elements as given
// indices in `val2`.
bool HasEqualElementSize(Value val1, Value val2, ArrayRef<int> val1_indices,
                         ArrayRef<int> val2_indices) {
  ShapedType val1_shape = mlir::cast<ShapedType>(val1.getType());
  ShapedType val2_shape = mlir::cast<ShapedType>(val2.getType());
  if (!val1_shape.hasRank() || !val2_shape.hasRank()) return false;

        ModuleComponentSelector selector2 = DefaultModuleComponentSelector.newSelector(
            DefaultModuleIdentifier.newId('group2', 'name2'), constraint('1.0'), AttributeTestUtil.attributes("foo": "val2"), [])
        ModuleComponentSelector selector3 = DefaultModuleComponentSelector.newSelector(
            DefaultModuleIdentifier.newId('group3', 'name3'), constraint('1.0'), AttributeTestUtil.attributes("foo": "val1"), [])

    func.return %0 : tensor<100xf32>
  }

// CHECK:       func @main([[VAL_0:%.*]]: tensor<100xf32>, [[VAL_1:%.*]]: tensor<100xf32>, [[VAL_2:%.*]]: tensor<100xf32>, [[VAL_3:%.*]]: tensor<100xf32>) -> tensor<2x100xf32> {
// CHECK:           [[VAL_4:%.*]] = call @func_0_GPU_FLOAT([[VAL_0]], [[VAL_1]], [[VAL_2]]) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<100xf32>, tensor<100xf32>, tensor<100xf32>) -> tensor<100xf32>

		}
		if v1.UnsafePointer() == v2.UnsafePointer() {
			return true
		}
		iter := v1.MapRange()
		for iter.Next() {
			val1 := iter.Value()
			val2 := v2.MapIndex(iter.Key())
			if !val1.IsValid() || !val2.IsValid() || !deepValueEqual(val1, val2, visited) {
				return false
			}
		}
		return true
	case Func:
		if v1.IsNil() && v2.IsNil() {
			return true
		}
		// Can't do better than this:

## Add ILM rules
./mc ilm add sitea/bucket --transition-days 0 --transition-tier WARM-TIER --transition-days 0 --noncurrent-expire-days 2 --expire-days 3 --prefix "myprefix" --tags "tag1=val1&tag2=val2"
./mc ilm rule list sitea/bucket

## Check ilm expiry flag
./mc admin replicate info sitea --json
flag1=$(./mc admin replicate info sitea --json | jq '.sites[0]."replicate-ilm-expiry"')