Tool to convert TF SavedModel to StableHLO

[copybara-service]

Tool to convert TF SavedModel to StableHLO

Here is the signature of the provide API:

// Converts a TensorFlow model (either from a SavedModel or an MLIR module) to a
// StableHLO MLIR module.
//
// Args:
//  input_path: The path to the input TensorFlow SavedModel or MLIR module.
//  context: The MLIR context to use for parsing or creating the MLIR module.
//  exported_model_signatures: A comma-separated list of exported model
//    signatures (functions) to convert.
//  tag_names: A comma-separated list of tag names used for loading SavedModel.
//  input_arg_shapes_str: A string representation of input argument shapes.
//    Shapes for different tensors are separated by ':', and dimension sizes for
//    the same tensor are separated by ','. For example,
//    'input-arg-shapes=1,2::1,?' expresses input arguments with shapes [1,2],
//    [] and [1,?].
//  is_input_mlir_module: If true, `input_path` is treated as an MLIR
//    module instead of a SavedModel.
//
// Returns:
//   An absl::StatusOr containing the converted StableHLO MLIR module on
//   success, or an absl::Status with an error message on failure.
absl::StatusOr<OwningOpRef<ModuleOp>> TfToStablehlo(
    absl::string_view input_path, MLIRContext* context,
    absl::string_view exported_model_signatures, absl::string_view tag_names,
    absl::string_view input_arg_shapes_str, bool is_input_mlir_module = false);