mlir::TFL::LSTMKernelType kernel_type;
  switch (value) {
    case tflite::LSTMKernelType_FULL:
      kernel_type = mlir::TFL::LSTMKernelType::FULL;
      break;
    case tflite::LSTMKernelType_BASIC:
      kernel_type = mlir::TFL::LSTMKernelType::BASIC;
      break;
  }
  return mlir::TFL::LSTMKernelTypeAttr::get(builder.getContext(), kernel_type);
}

  cell_clip: float; // Optional, 0.0 means no clipping
  proj_clip: float; // Optional, 0.0 means no clipping

  // Parameters for LSTM version 2 or above.
  // Basic kernel is only supported in version 2 or above.
  kernel_type: LSTMKernelType = FULL;

  // Parameters for LSTM version 4 or above.
  asymmetric_quantize_inputs: bool;
}

// An implementation of TensorFlow dynamic_rnn with LSTMCell.