模型编译时不指定Shape，模型执行时根据输入静态Shape，能推导出具体输出Shape：

[
  {
    "op": "Add",
    "name": "add",
    "input_desc": [
      {
        "format": "ND",
        "shape": [-1,16],
        "shape_range": [[0, 32]],
        "type": "int64"
      },
      {
        "format": "ND",
        "shape": [-1,16],
        "shape_range": [[0, 32]],
        "type": "int64"
      }
    ],
    "output_desc": [
      {
        "format": "ND",
        "shape": [-1,16],
        "shape_range": [[0,32]],
        "type": "int64"
      }
    ]
  }
]

模型编译时不指定Shape，模型执行时根据输入静态Shape和常量，能推导出具体输出Shape：

[
  {
    "op": "TopK",
    "name": "topK",
    "input_desc": [
      {
        "format": "ND",
        "shape": [-1],
       "shape_range": [[1,-1]],
        "type": "int32"
      },
      {
        "format": "ND",
        "shape": [],      #推理时会传入常量
        "type": "int32"
      }
    ],
    "output_desc": [
      {
        "format": "ND",
        "shape": [-1],
        "shape_range": [[1,-1]],
        "type": "int32"
      },
	  {
        "format": "ND",
        "shape": [-1],
        "shape_range": [[1,-1]],
        "type": "int32"
      }],
      "attr": [
      {
        "name": "sorted",
        "type": "bool",
        "value": true
      }
    ]
  }
]

模型编译时不指定Shape，模型执行时根据输入静态Shape，无法得到算子的准确输出Shape，但可以得到输出Shape的范围。

该场景下在输出参数output_desc中将算子输出TensorDesc中Shape为动态维度的纬度值记为“-1”，并对其“-1”的维度给出shape_range取值范围：

[
  {
    "op": "Where",
    "name": "where",
    "input_desc": [
      {
        "format": "ND",
        "shape": [-1],
        "shape_range": [[1,-1]],
        "type": "int32"
      }
    ],
    "output_desc": [
      {
        "format": "ND",
        "shape": [-1, 1],
        "shape_range": [[1,-1]],
        "type": "int64"
      }
    ]
  }
]

动态Shape单算子描述文件配置