// If adding others, include the polynomial and a name
	// to identify it.

	genCrc32ConstTable(w, 0xedb88320, "IEEE")
	genCrc32ConstTable(w, 0x82f63b78, "Cast")
	genCrc32ConstTable(w, 0xeb31d82e, "Koop")
	b := w.Bytes()

	err := os.WriteFile("crc32_table_ppc64le.s", b, 0666)
	if err != nil {
		fmt.Fprintf(os.Stderr, "can't write output: %s\n", err)
	}
}

// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

func.func @main() {
  tf_executor.graph {
    tf_executor.island wraps "tf.NoOp"() {} : () -> () loc("noop")
    tf_executor.fetch
  }
  func.return
}

// CHECK: node {
// CHECK-NEXT:  name: "noop"
// CHECK-NEXT:  op: "NoOp"
// CHECK-NEXT:  experimental_debug_info {
// CHECK-NEXT:  }

// cancelled. The returned error is the error returned by the last condition or the
// context error if the context was terminated.
//
// This is the common loop construct for all polling in the wait package.
func loopConditionUntilContext(ctx context.Context, t Timer, immediate, sliding bool, condition ConditionWithContextFunc) error {
	defer t.Stop()

	var timeCh <-chan time.Time

// RUN: tf-mlir-translate -mlir-to-graphdef %s -o - | FileCheck %s

// Verify the ops generated when Ref type is used in a while loop.
func.func @main() {
  // CHECK:  op: "RefEnter"
  // CHECK:  op: "RefMerge"
  // CHECK:  op: "RefSwitch"
  // CHECK:  op: "RefExit"
  // CHECK:  op: "RefNextIteration"
  tf_executor.graph {
    %0:3 = tf_executor.NextIteration.Source : tensor<*x!tf_type.int32ref> {device = "", T = "tfdtype$DT_INT32"} loc("while/NextIteration")

Adrian Kuegel <******@****.***> 1648469008 -0700

Andy Ly <******@****.***> 1598551625 -0700

John Howard <******@****.***> 1612556881 -0800

package ssa

// loopRotate converts loops with a check-loop-condition-at-beginning
// to loops with a check-loop-condition-at-end.
// This helps loops avoid extra unnecessary jumps.
//
//	 loop:
//	   CMPQ ...
//	   JGE exit
//	   ...
//	   JMP loop
//	 exit:
//
//	  JMP entry
//	loop:
//	  ...
//	entry:
//	  CMPQ ...
//	  JLT loop
func loopRotate(f *Func) {
	loopnest := f.loopnest()

  for (int i = 0; i < n; ++i) result.push_back(ToOutput(output_tensors[i]));
  return result;
}

// The backprop loop counter and main backprop loop run in their own execution
// frame (conceptually, the main forward loop and forward loop counter run
// together in a frame, then the backprop loop counter and backprop loop run
// together in a different frame). This returns the frame name to use for the
// backprop while loops.

// CHECK-LABEL: func @preserve_unreachable_tpu_replicate_metadata
func.func @preserve_unreachable_tpu_replicate_metadata() {
  tf_executor.graph {
    %0 = tf_executor.ControlTrigger {}
    // CHECK: "tf.NoOp"
    %1 = tf_executor.island wraps "tf.NoOp"() : () -> ()
    // CHECK: "tf.TPUReplicateMetadata"