LOG_FIRST_N(INFO, 1) << "Skipping Graph Decomposition Pass, decomposition"
                            " library was not found";
    return absl::OkStatus();
  }

  tf_core_op_expansion_graph_counter->GetCell()->IncrementBy(1);

  LOG_FIRST_N(INFO, 1) << "Run Graph Decomposition Passes";

  TF_RETURN_IF_ERROR(DecomposeGraph(module));

  LOG_FIRST_N(INFO, 1) << "Finish Graph Decomposition Passes";

  };
  for (const char* skip : kOpsToSkip) {
    if (absl::StartsWith(orig_op->op_name(), skip)) return absl::OkStatus();
  }

  tf_core_op_expansion_node_counter->GetCell()->IncrementBy(1);

  LOG_FIRST_N(INFO, 1) << "Run Node Expansion Passes";

  // Get the FunctionDef and insert that into the context
  const NodeDef& ndef = orig_op->MutableAttrs()->BuildNodeDef();
  auto& ctx = orig_op->EagerContext();

    std::vector<std::vector<xla::Shape>>* per_core_arg_shapes,
    std::vector<std::unique_ptr<mlir::Pass>>& custom_legalization_passes,
    xla::CompileOnlyClient* client, XlaCompilationResult* compilation_result) {
  LOG_FIRST_N(INFO, 1) << "Compiling MLIR computation to XLA HLO using the "
                          "Combined MLIR Tf2Xla Bridge.";

  absl::StatusOr<std::string> mlir_compilation =
      internal::CompileFromMlirToXlaHlo(

    const std::vector<TensorShape>& arg_shapes,
    std::vector<ShardingAndIndex>* arg_core_mapping,
    std::vector<std::vector<xla::Shape>>* per_core_arg_shapes) {
  LOG_FIRST_N(INFO, 1)
      << "Compiling MLIR computation to XLA HLO using MLIR tf2xla bridge in "
         "the op by op fallback mode. This is Phase 2 of the TF2XLA Bridge. "