==============================================================================*/

include "mlir/Pass/PassBase.td"

def OutlineCompositesPass: Pass<"outline-composites", "func::FuncOp"> {
  let summary = "Outlines specific patterns into composites.";
  let description = [{
    Outline specific patterns into composites. Specific patterns can be any
    sub-DAG within a single `Block*`. The signature of the new composite

  builder->create<func::ReturnOp>(cluster_return_op.getLoc(),
                                  cluster_return_op.getOperands());
  cluster_return_op.erase();
}

// Builds a function that outlines region attached to cluster_op or launch_op,
// and inserts built function into given module.
template <typename ClusterOrLaunchOp>
func::FuncOp BuildFunction(llvm::ArrayRef<Value> live_ins, ClusterOrLaunchOp op,

		goldenLine = strings.Join(strings.Fields(goldenLine), " ")
		outLine := strings.Join(strings.Fields(outLines[i]), " ")
		if outLine != goldenLine {
			t.Fatalf("line %d differs: got:\n\t%s\nwant:\n\t%s", i+1, outLine, goldenLine)
		}
	}
	if len(goldenLines) != len(outLines) {
		t.Fatalf("output longer than golden; first extra output line %d: %q\n", len(goldenLines)+1, outLines[len(goldenLines)])
	}
}

namespace mlir {
namespace TFL {
namespace {
#define GEN_PASS_DEF_WHILEOUTLINEPASS
#include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc"

// This pass outlines the cond/body region of the TFL WhileOp into functions and
// replaces the regions with calls to these outlined functions.
class WhileOutlinePass : public impl::WhileOutlinePassBase<WhileOutlinePass> {
 public:
  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(WhileOutlinePass)

weeks prior to a new release. The `istio/istio.io` repository does not get branched until the release is ready
for publication.

This document outlines getting in new features after a new branch has been cut and the process for getting a PR
merged in before and after the first public release.

# Feature Freeze

using mlir::SymbolUserOpInterface;
using mlir::func::FuncOp;

#define GEN_PASS_DEF_XLACLUSTERFORMATIONPASS
#include "tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.h.inc"

// Outlines partitioned call ops with `_XlaMustCompile` to device clusters.
struct XlaClusterFormationPass
    : public impl::XlaClusterFormationPassBase<XlaClusterFormationPass> {
  void runOnOperation() override;
};

}

// ordered list of all available outline colors
var outlines = [
    "outline-blue",
    "outline-red",
    "outline-blueviolet",
    "outline-darkolivegreen",
    "outline-fuchsia",
    "outline-sienna",
    "outline-gold",
    "outline-orangered",
    "outline-teal",
    "outline-maroon",
    "outline-black"
];

// state: which value is outlined this color?
var outlined = {};

import org.gradle.launcher.daemon.server.api.HandleStop
import org.gradle.test.precondition.Requires
import org.gradle.test.preconditions.IntegTestPreconditions
import org.gradle.test.preconditions.UnitTestPreconditions

/**
 * Outlines the lifecycle of the daemon given different sequences of events.
 *
 * These tests are a little different due to their async nature. We use the classes

 public:
  MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(QuantizeVariablesPass)
  explicit QuantizeVariablesPass() = default;

  void runOnOperation() override;

 private:
  // Outlines the regions of the WhileOp's cond and body and insert function
  // calls instead.
  void QuantizeVariable(OpBuilder &builder,
                        const std::vector<VarHandleOp> &var_handle_op);
};

thousands of people who have already contributed to our projects — and we want to ensure our community
continues to be truly open for everyone.

This code of conduct outlines our expectations for participants, as well as steps to reporting
unacceptable behavior. We are committed to providing a welcoming and inspiring community for all and
expect our code of conduct to be honored.