dnn-metadata.json

[
  {
    "name": "batchnorm",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "scale" },
      { "name": "bias" }
    ]
  },
  {
    "name": "concat",
    "category": "Tensor",
    "inputs": [
      { "name": "input", "option": "variadic" }
    ]
  },
  {
    "name": "const_v2",
    "category": "Constant"
  },
  {
    "name": "conv",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "biases" }
    ]
  },
  {
    "name": "deconv",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "biases" }
    ]
  },
  {
    "name": "depthdeconv",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "biases" }
    ]
  },
  {
    "name": "eltwise",
    "inputs": [
      { "name": "input", "option": "variadic" }
    ]
  },
  {
    "name": "linear",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ]
  },
  {
    "name": "pad",
    "category": "Shape"
  },
  {
    "name": "pool",
    "category": "Pool",
    "inputs": [
      { "name": "input" }
    ]
  },
  {
    "name": "prelu",
    "category": "Activation",
    "inputs": [
      { "name": "input" },
      { "name": "slope" }
    ]
  },
  {
    "name": "relu",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ]
  },
  {
    "name": "relu6",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ]
  },
  {
    "name": "sigmoid",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ]
  },
  {
    "name": "softmax",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ]
  }
]