content: # Schedule'parameter
  batching_timeout = 5 #默认的凑batch的超时时间
  instance_num = 2 
  
  # DynamicTensorrtTensor'parameter
  "Interpreter::backend" = "PipelineV3"
  precision = "fp16"
  # [jpg_decoder]
  # backend = "DecodeTensor"
  # instance_num = 4
  # # Pipeline'parameter
  # next = "preprocess" # cv::Mat 暂时没法回传到python
  
  [jpg_decoder]
  
  backend = "SyncTensor[ Sequential[DecodeTensor,ResizeTensor,cvtColorTensor]  ]" # 需要处理背景线程cuda流同步问题可用Torch， 否则可用Sequential；Torch确保初始化和前向在同一个线程时，能准确处理多个backend的同步时机
  ## ResizeTensor'parameter
  resize_h = 224
  resize_w = 224
  
  ## cvtColorTensor'parameter
  color = "rgb"
  
  # Schedule'parameter
  instance_num = 4
  
  
  next = "cpu_decoder"
  
  [cpu_decoder]
  filter = "or"
  # 切换batchsize时， 需要单独节点处理
  backend = " Sequential[DecodeMat,ResizeMat,CvtColorMat,Mat2Tensor,SyncTensor]  " # 需要处理背景线程cuda流同步问题可用Torch， 否则可用Sequential；Torch确保初始化和前向在同一个线程时，能准确处理多个backend的同步时机
  resize_h = 224 
  resize_w = 224 
  
  ## cvtColorTensor'parameter
  color = "rgb"
  
  # Schedule'parameter
  instance_num = 4
  