<< filter_type << "\n");
      return failure();
    }
    const int rhs_rank = filter_type.cast<TensorType>().getRank();
    const auto rhs_contracting_dim =
        dot_dimension_nums.getRhsContractingDimensions()[0];
    if ((rhs_contracting_dim != rhs_rank - 1) &&
        (rhs_contracting_dim != rhs_rank - 2)) {
      LLVM_DEBUG(llvm::dbgs()
                 << "Not supported rhs contracting dim for dot_general.\n");

      dot_dimension_numbers.getLhsContractingDimensions());
  DotDimensionsInfo rhs_dot_dimensions_info(
      rhs_type, dot_dimension_numbers.getRhsBatchingDimensions(),
      dot_dimension_numbers.getRhsContractingDimensions());

  // Transposes lhs shape to be in the order of {batch_dimensions,
  // out_dimensions, contracting dimensions}.
  llvm::SmallVector<int64_t, 4> lhs_permutation = Concat<int64_t>(

        auto rhs_contracting_dimensions = builder_.CreateVector(
            mlir::GetVector<int64_t>(mlir::cast<mlir::vhlo::TensorV1Attr>(
                                         vhlo_op.getRhsContractingDimensions()),
                                     vhlo_type_converter));

        BufferOffset<flatbuffers::Vector<unsigned int>> precision_config = 0;
        if (vhlo_op.getPrecisionConfig()) {