# optional, If name is specified it must match the name of the model repository directory containing the model.
name: "runtime"
backend: "fastdeploy"
max_batch_size: 16

# Input configuration of the model
input [
  {
    # input name
    name: "images"
    # input type such as TYPE_FP32、TYPE_UINT8、TYPE_INT8、TYPE_INT16、TYPE_INT32、TYPE_INT64、TYPE_FP16、TYPE_STRING
    data_type: TYPE_FP32
    # input shape， The batch dimension is omitted and the actual shape is [batch, c, h, w]
    dims: [ 3, -1, -1 ]
  }
]

# The output of the model is configured in the same format as the input
output [
  {
    name: "output0"
    data_type: TYPE_FP32
    dims: [ -1, -1 ]
  }
]

# Number of instances of the model
instance_group [
  {
    # The number of instances is 1
    count: 1
    # Use CPU, GPU inference option is:KIND_GPU
    kind: KIND_CPU
  }
]

optimization {
  execution_accelerators {
  cpu_execution_accelerator : [ {
    # use ONNXRuntime engine
    name: "onnxruntime",
    # set cpu threads
    parameters { key: "cpu_threads" value: "4" }
  }]
}}