namespace v1 {

// Compiles the given Tensorflow graph into xla::HLO. The result is in
// compilation_result. If the input computation is in MLIR, it will be
// converted to a Tensorflow graph. Otherwise, the graph compiler will be run.
absl::Status CompileTensorflowGraphToHlo(
    const std::variant<tpu::MlirToHloArgs, tpu::FunctionToHloArgs>& computation,
    const tpu::TPUCompileMetadataProto& metadata, bool use_tuple_args,

  return llvm::isa<TF::CastOp, TF::IdentityOp>(op);
}

// Adds outside compilation attributes to unary ops such as Identity/Cast ops
// at the head of TPU computation that is used only by other outside compiled
// ops. Identity ops and Cast ops is commonly added to the start of TPU
// computation. Adding/expanding outside compilation attributes to these ops
// will ensure that head outside compiled ops are correctly located and moved to
// host.

// RUN: tf-opt %s --run-tf-graph-optimization --graph-passes=FunctionalizeControlFlowForXlaPass | FileCheck %s

func.func @main() {
  tf_executor.graph {
    %0 = tf_executor.island wraps "tf._TPUReplicate"() {computation = @foo, Tinputs = [], Tbroadcast_inputs = [], NumVariables = 0, Tguaranteed_constants = [], output_types = []} : () -> () loc("_TPUReplicate")
    tf_executor.fetch
  }
  func.return
}

func.func @foo() {
  tf_executor.graph {

          "If not a Graph Analysis failure then matches the computation result "
          "with the regex") {
  auto graph_analysis_failure = WasGraphAnalysisFailure(arg);
  if (graph_analysis_failure) {
    return testing::ExplainMatchResult(testing::IsTrue(),
                                       graph_analysis_failure, result_listener);
  }
  auto proto = arg.value().computation->proto().DebugString();

   * The listener will run when the {@code Future}'s computation is {@linkplain Future#isDone()
   * complete} or, if the computation is already complete, immediately.
   *
   * <p>There is no guaranteed ordering of execution of listeners, but any listener added through
   * this method is guaranteed to be called once the computation is complete.
   *

   * The listener will run when the {@code Future}'s computation is {@linkplain Future#isDone()
   * complete} or, if the computation is already complete, immediately.
   *
   * <p>There is no guaranteed ordering of execution of listeners, but any listener added through
   * this method is guaranteed to be called once the computation is complete.
   *

cat << EOF > tensorflow.pc
prefix=${TF_PREFIX}
exec_prefix=\${prefix}
libdir=\${exec_prefix}/${LIBDIR}
includedir=\${prefix}/include/tensorflow

Name: TensorFlow
Version: ${TF_VERSION}
Description: Library for computation using data flow graphs for scalable machine learning
Requires:
Libs: -L\${libdir} -ltensorflow -ltensorflow_framework
Cflags: -I\${includedir}
EOF

cat << EOF > tensorflow_cc.pc
prefix=${TF_PREFIX}

	ActionLabelNone      ActionLabel = "none"

	// ErrorLabelSpec represents an error due to an invalid spec of HPA object.
	ErrorLabelSpec ErrorLabel = "spec"
	// ErrorLabelInternal represents an error from an internal computation or communication with other component.
	ErrorLabelInternal ErrorLabel = "internal"
	ErrorLabelNone     ErrorLabel = "none"
)

// Monitor records some metrics so that people can monitor HPA controller.

// then those passes include all the Legalization to XLA HLO which is returned
// in the compilation_result.
absl::StatusOr<std::string> CompileFromMlirToXlaHlo(
    bool lower_to_xla_hlo, const tpu::MlirToHloArgs& computation,
    const tpu::TPUCompileMetadataProto& metadata, llvm::StringRef device_type,
    const XlaShapeLayoutHelpers::ShapeDeterminationFns& shape_determination_fns,

limitations under the License.
==============================================================================*/

// The XlaCompileOnDemandOp is an OpKernel that, when its Compute method is
// called, will generate an xla::Computation and run it asynchronously.

#ifndef TENSORFLOW_COMPILER_JIT_XLA_COMPILE_ON_DEMAND_OP_H_
#define TENSORFLOW_COMPILER_JIT_XLA_COMPILE_ON_DEMAND_OP_H_

#include <vector>