llvm::SmallVector<mlir::TF::SplitOp, 4> split_ops_for_tiled_input;
  split_ops_for_tiled_input.reserve(
      input_sharding.tile_assignment_devices_size());

  // Creates a tree of split nodes for sharding tiled inputs. Splits nodes
  // are created such that input data is sharded in row major order.
  // Split nodes at ith depth from the original input node represent nodes
  // that split the input data at i-th dimension.

    return strategy.iterator(this, sequence);
  }

  /**
   * Splits {@code sequence} into string components and returns them as an immutable list. If you
   * want an {@link Iterable} which may be lazily evaluated, use {@link #split(CharSequence)}.
   *
   * @param sequence the sequence of characters to split
   * @return an immutable list of the segments split from the parameter
   * @since 15.0
   */

    return strategy.iterator(this, sequence);
  }

  /**
   * Splits {@code sequence} into string components and returns them as an immutable list. If you
   * want an {@link Iterable} which may be lazily evaluated, use {@link #split(CharSequence)}.
   *
   * @param sequence the sequence of characters to split
   * @return an immutable list of the segments split from the parameter
   * @since 15.0
   */

		return "", "", device
	}

	parts := strings.SplitN(device, "=", 2)
	if len(parts) != 2 || parts[0] == "" || parts[1] == "" {
		return "", "", device
	}

	name := parts[1]
	vendor, class := parseQualifier(parts[0])
	if vendor == "" {
		return "", "", device
	}

	return vendor, class, name
}

// parseQualifier splits a device qualifier into vendor and class.

	"sigs.k8s.io/yaml"
)

const (
	joinSeparator = "\n---\n"
)

// Split where the '---' appears at the very beginning of a line. This will avoid
// accidentally splitting in cases where yaml resources contain nested yaml (which
// is indented).
var splitRegex = regexp.MustCompile(`(^|\n)---`)

// SplitYamlByKind splits the given YAML into parts indexed by kind.
func SplitYamlByKind(content string) map[string]string {

Alexander Zielenski <******@****.***> 1697824555 -0700

Bo Zhang <******@****.***> 1612853523 +0800

Alexander Zielenski <******@****.***> 1697824555 -0700

Alexander Zielenski <******@****.***> 1697824555 -0700

// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-tpu-colocate-splits | FileCheck %s

// CHECK-LABEL: func @colocate_split_with_pred
func.func @colocate_split_with_pred() {
  // CHECK: Split
  // CHECK-SAME: _class = ["loc:@class"]
  tf_executor.graph {
    %c, %control0 = tf_executor.island wraps "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>