code: def calculate_attention(model, mk16, qk16, pos_mask, neg_mask):
      input_names = model.get_input_names()
      mk16_handle = model.get_input_handle(input_names[0])
      qk16_handle = model.get_input_handle(input_names[1])
      pos_handle = model.get_input_handle(input_names[2])
      neg_handle = model.get_input_handle(input_names[3])
      mk16_handle.copy_from_cpu(mk16)
      qk16_handle.copy_from_cpu(qk16)
      pos_handle.copy_from_cpu(pos_mask)
      neg_handle.copy_from_cpu(neg_mask)
      model.run()
      output_names = model.get_output_names()
      output_handle = model.get_output_handle(output_names[0])
      result = output_handle.copy_to_cpu()
      return result
  
file_path: PaddleSeg/EISeg/eiseg/plugin/video/load_model.py
imports: import paddle
  import paddle.inference
label_desc: Use image node_id 5 for calling a global function with example usage: calculate_attention(model, mk16, qk16, pos_mask, neg_mask) and returns: result