// CHECK: %[[control:.*]] = tf_executor.island wraps "tf.A"()
    tf_executor.island wraps "tf.A"() : () -> ()
    // CHECK-NEXT: %[[control_2:.*]] = tf_executor.island(%[[control]]) wraps "tf.B"()
    tf_executor.island wraps "tf.B"() {_parallel_execution_ids = "r1:1"} : () -> ()
    // CHECK-NEXT: %[[control_3:.*]] = tf_executor.island(%[[control_2]]) wraps "tf.C"()

    }
    tf_executor.fetch %island#0, %island#1, %island#2 : tensor<i32>, !tf_res, !tf_res
  }
  func.return %graph#0, %graph#1, %graph#2: tensor<i32>, !tf_res, !tf_res
}

// CHECK-LABEL: func @whileregion_cond
func.func @whileregion_cond(%arg0: tensor<i32>, %arg1: !tf_res, %arg2: !tf_res) -> tensor<i1> {
  %graph = tf_executor.graph {
    // CHECK: tf_executor.island
    %island:2 = tf_executor.island {

    %0 = tf_executor.graph {
      %outputs, %control = tf_executor.island wraps "tf.Const"() {device = "", value = dense<1> : tensor<i32>} : () -> tensor<i32>
      %outputs_0, %control_1 = tf_executor.island wraps "tf.Const"() {device = "", value = dense<20> : tensor<i32>} : () -> tensor<i32>
      %outputs_2, %control_3 = tf_executor.island wraps "tf.Const"() {device = "", value = dense<0> : tensor<i32>} : () -> tensor<i32>

	AMOVVF
	AMOVVD

	// 2.2.7. Atomic Memory Access Instructions
	AAMSWAPB
	AAMSWAPH
	AAMSWAPW
	AAMSWAPV
	AAMCASB
	AAMCASH
	AAMCASW
	AAMCASV
	AAMADDW
	AAMADDV
	AAMANDW
	AAMANDV
	AAMORW
	AAMORV
	AAMXORW
	AAMXORV
	AAMMAXW
	AAMMAXV
	AAMMINW
	AAMMINV
	AAMMAXWU
	AAMMAXVU
	AAMMINWU
	AAMMINVU
	AAMSWAPDBB
	AAMSWAPDBH
	AAMSWAPDBW
	AAMSWAPDBV

// CHECK: "tf.opA"
// CHECK-NOT: island
// CHECK: name = "A"
// CHECK-NOT: island
// CHECK: name = "C"
// CHECK-NOT: island
// CHECK: name = "E"
// CHECK: island {{.*}}name = "B"
// CHECK: island {{.*}}name = "D"

    %0 = tf_executor.graph {
      %outputs, %control = tf_executor.island wraps "tf.Const"() {value = dense<0.000000e+00> : tensor<32xf32>} : () -> tensor<32xf32>
      %outputs_0, %control_1 = tf_executor.island(%control) wraps "tf.Const"() {value = dense<0.000000e+00> : tensor<5x5x3x32xf32>} : () -> tensor<5x5x3x32xf32>

	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[Def-1]
	_ = x[Not-2]
	_ = x[Recv-3]
	_ = x[Tilde-4]
	_ = x[OrOr-5]
	_ = x[AndAnd-6]
	_ = x[Eql-7]
	_ = x[Neq-8]
	_ = x[Lss-9]
	_ = x[Leq-10]
	_ = x[Gtr-11]
	_ = x[Geq-12]
	_ = x[Add-13]
	_ = x[Sub-14]
	_ = x[Or-15]
	_ = x[Xor-16]
	_ = x[Mul-17]
	_ = x[Div-18]
	_ = x[Rem-19]

logins:
  - jina-ai
  - deta
  - investsuite
  - mikeckennedy
  - deepset-ai
  - cryptapi
  - xoflare
  - DropbaseHQ
  - VincentParedes
  - BLUE-DEVIL1134
  - ObliviousAI
  - Doist
  - nihpo
  - armand-sauzay
  - databento-bot
  - databento
  - nanram22
  - Flint-company
  - porter-dev
  - fern-api
  - ndimares
  - svixhq
  - Alek99
  - codacy
  - zanfaruqui
  - scalar
  - bump-sh

    // CHECK:      tf.Identity
    // CHECK-SAME: device = "/job:localhost/replica:0/task:0/device:TPU:0"
    %1:2 = tf_executor.island wraps "tf.Identity"(%0#0) : (tensor<i64>) -> tensor<i64>
    // CHECK:      tf.Identity
    // CHECK-SAME: device = "/job:localhost/replica:0/task:0/device:TPU:0"
    %2:2 = tf_executor.island wraps "tf.Identity"(%0#1) : (tensor<i64>) -> tensor<i64>
    %3 = tf_executor.ControlTrigger %1#1, %2#1

    %value, %value_control = tf_executor.island wraps "tf.GetKey"() : () -> tensor<f32>
    %ret0, %ret0_control = tf_executor.island wraps "tf.SomeOp"() : () -> !tf_res
    %ret1, %ret1_control = tf_executor.island wraps "tf.SomeOp"() : () -> !tf_res
    %control_unknown = tf_executor.island wraps "tf.UnknownOp"() : () -> ()
    %key, %key_control = tf_executor.island wraps "tf.GetKey"() : () -> !tf_str