//   representation fn. The two functions are used to determine argument and
//   result shapes.
// custom_legalization_passes: passes to run before the default TF legalization
//   passes for backend-specific ops.
ABSL_DEPRECATED("Use v2/legalize_tf.h::LegalizeMlirToHlo instead.")
Status ConvertMLIRToXlaComputation(
    mlir::ModuleOp module_op, llvm::StringRef device_type,
    xla::XlaComputation* xla_computation, bool use_tuple_args,

#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/graph/graph.h"

namespace tensorflow {

ABSL_DEPRECATED("Use tensorflow::tf2xla::api::ConvertMlirToGraphdef instead.")
// Given an MLIR module, returns a GraphDef.
absl::StatusOr<std::unique_ptr<GraphDef>> ConvertMlirToGraphdef(

// any target specialization. When enable_logging is true, enables
// tensorflow::BridgeLogger. When enable_inliner is true, enables the inliner
// pass.
ABSL_DEPRECATED(
    "This is legacy code and is unsupported. Use at your own risk. Use "
    "tf2xla/api/v2/* for specific functionality")
tensorflow::Status RunBridgeWithStandardPipeline(ModuleOp module,

    const std::vector<std::string>& output_arrays,
    const std::vector<std::string>& control_output_arrays,
    const GraphdefToMlirOptions& import_options, mlir::MLIRContext* context);

ABSL_DEPRECATED(
    "Please use the other overload of this function which accepts structured "
    "inputs instead of strings")
// Converts a TensorFlow GraphDef contained in `input` param into a MLIR module.

//
// Input: A MLIR Module in the Tensorflow Dialect with no
// `tf_device.cluster_func` ops.
// Output: A MLIR module in the Tensorflow Executor Dialect.

ABSL_DEPRECATED(
    "Use v2/tf_dialect_to_executor.h::ExportFromTensorflowDialectToExecutor "
    "instead.")
tensorflow::Status ExportFromTensorflowDialectToExecutor(

// left-padded broadcasting and static shapes. Its use should not be permitted
// in new code.
// May return nullptr on invalid static broadcast dimensions.
// ABSL_DEPRECATED()
static RankedTensorType GetStaticBroadcastType(
    RankedTensorType x, RankedTensorType y,
    DenseIntElementsAttr broadcast_dimensions_attr) {
  auto element_type = x.getElementType();