code: def _cnn_filter(in_file, vrn_files, data):
      
      #tensor_type = "reference"  # 1D, reference sequence
      tensor_type = "read_tensor"  # 2D, reads, flags, mapping quality
      score_file = _cnn_score_variants(in_file, tensor_type, data)
      return _cnn_tranch_filtering(score_file, vrn_files, tensor_type, data)
docs: Perform CNN filtering on input VCF using pre-trained models.