netron/source/caffe-metadata.json

[
  {
    "name": "Accuracy",
    "inputs": [
      { "name": "predictions" },
      { "name": "labels" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "AnnotatedData",
    "category": "Data",
    "outputs": [
      { "name": "data" }
    ]
  },
  {
    "name": "BatchNorm",
    "category": "Normalization",
    "attributes": [
      { "name": "use_global_stats", "type": "boolean", "visible": false },
      { "name": "eps", "type": "float32", "default": 0.00001 }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "gamma" },
      { "name": "beta" },
      { "name": "mean" },
      { "name": "variance" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "BN",
    "category": "Normalization",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ColorConv",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Concat",
    "category": "Tensor",
    "inputs": [
      { "name": "inputs", "option": "variadic" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ContrastiveLossParameter",
    "attributes": [
      { "name": "margin", "default": 1 },
      { "name": "legacy_version", "default": false }
    ]
  },
  {
    "name": "Convolution",
    "category": "Layer",
    "attributes": [
      { "name": "bias_term", "visible": false },
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false },
      { "name": "pad", "default": [   0 ] },
      { "name": "kernel_size", "default": [] },
      { "name": "stride", "default": [   1 ] },
      { "name": "dilation", "default": [] },
      { "name": "group", "default": 1 }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "filter" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvolutionDepthwise",
    "category": "Layer",
    "attributes": [
      { "name": "pad", "default": [   0 ] },
      { "name": "kernel_size", "default": [] },
      { "name": "stride", "default": [   1 ] },
      { "name": "bias_term", "visible": false },
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "filter" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Crop",
    "category": "Data",
    "inputs": [
      { "name": "data" },
      { "name": "size" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Data",
    "category": "Data",
    "outputs": [
      { "name": "data" },
      { "name": "label" }
    ]
  },
  {
    "name": "Deconvolution",
    "category": "Layer",
    "attributes": [
      { "name": "bias_term", "visible": false },
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false },
      { "name": "pad", "default": [] },
      { "name": "kernel_size", "default": [] },
      { "name": "stride", "default": [] },
      { "name": "dilation", "default": [] }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "filter" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "DepthwiseConvolution",
    "category": "Layer",
    "attributes": [
      { "name": "bias_term", "visible": false },
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "filter" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Dropout",
    "category": "Dropout",
    "attributes": [
      { "name": "dropout_ratio", "default": 0.5 }
    ],
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "DummyData",
    "category": "Data",
    "outputs": [
      { "name": "data" }
    ]
  },
  {
    "name": "Eltwise",
    "attributes": [
      { "name": "operation", "type": "EltwiseParameter.EltwiseOp", "default": 1 },
      { "name": "coeff", "type": "float32[]", "default": [] },
      { "name": "stable_prod_grad", "type": "boolean", "default": true }
    ],
    "inputs": [
      { "name": "inputs", "option": "variadic" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "EuclideanLoss",
    "inputs": [
      { "name": "predictions" },
      { "name": "targets" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Flatten",
    "category": "Shape",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "HDF5Data",
    "category": "Data",
    "outputs": [
      { "name": "data" }
    ]
  },
  {
    "name": "ImageData",
    "category": "Data",
    "outputs": [
      { "name": "data" },
      { "name": "label" }
    ]
  },
  {
    "name": "InnerProduct",
    "category": "Layer",
    "attributes": [
      { "name": "bias_term", "visible": false },
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "LRN",
    "category": "Normalization",
    "attributes": [
      { "name": "local_size", "type": "uint32", "default": 5 },
      { "name": "alpha", "type": "float32", "default": 0.0001 },
      { "name": "beta", "type": "float32", "default": 0.75 }
    ],
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "LSTM",
    "category": "Layer",
    "attributes": [
      { "name": "weight_filler", "visible": false },
      { "name": "bias_filler", "visible": false },
      { "name": "num_output", "visible": false }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "h_0" },
      { "name": "c_0" }
    ],
    "outputs": [
      { "name": "output" },
      { "name": "h_T" },
      { "name": "c_T" }
    ]
  },
  {
    "name": "Parameter",
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Permute",
    "category": "Shape",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Pooling",
    "category": "Pool",
    "attributes": [
      { "name": "pool", "type": "PoolingParameter.PoolMethod", "default": 0 },
      { "name": "engine", "type": "PoolingParameter.Engine", "default": 0 }
    ],
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "PReLU",
    "category": "Activation",
    "inputs": [
      { "name": "input" },
      { "name": "slope" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Python"
  },
  {
    "name": "ReLU",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ReLU6",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Reshape",
    "category": "Shape",
    "inputs": [
      { "name": "data" }
    ],
    "outputs": [
      { "name": "reshaped" }
    ]
  },
  {
    "name": "Scale",
    "category": "Layer",
    "attributes": [
      { "name": "filler", "visible": false },
      { "name": "bias_term", "visible": false },
      { "name": "bias_filler", "visible": false }
    ],
    "inputs": [
      { "name": "input" },
      { "name": "scale" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Sigmoid",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Slice",
    "category": "Tensor",
    "attributes": [
      { "name": "axis", "default": 1 }
    ],
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "outputs", "option": "variadic" }
    ]
  },
  {
    "name": "Softmax",
    "category": "Activation",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "SoftmaxLoss",
    "category": "Activation",
    "inputs": [
      { "name": "input" },
      { "name": "labels" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "SoftmaxWithLoss",
    "category": "Activation",
    "inputs": [
      { "name": "input" },
      { "name": "labels" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Split",
    "category": "Tensor",
    "inputs": [
      { "name": "input" }
    ],
    "outputs": [
      { "name": "outputs", "option": "variadic" }
    ]
  },
  {
    "name": "WindowData",
    "category": "Data",
    "outputs": [
      { "name": "data" },
      { "name": "label" }
    ]
  }
]