动态Shape单算子描述文件配置

该场景下的单算子分为如下类型：

• 模型编译时不指定Shape，模型执行时根据输入固定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固定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固定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"
        }
      ]
    }
  ]