netron-4.1.9/src/mnn-metadata.json

[
  {
    "name": "AbsVal",
    "schema": {
      "operator": 0
    }
  },
  {
    "name": "QuantizedAdd",
    "schema": {
      "operator": 1,
      "attributes": [
        { "name": "activationType", "type": "FusedActivation" }
      ]
    }
  },
  {
    "name": "ArgMax",
    "schema": {
      "operator": 2
    }
  },
  {
    "name": "AsString",
    "schema": {
      "operator": 3,
      "category": "Transform"
    }
  },
  {
    "name": "BatchNorm",
    "schema": {
      "operator": 4,
      "category": "Normalization"
    }
  },
  {
    "name": "BatchToSpaceND",
    "schema": {
      "operator": 5,
      "category": "Shape"
    }
  },
  {
    "name": "Bias",
    "schema": {
      "operator": 6,
      "category": "Layer"
    }
  },
  {
    "name": "BinaryOp",
    "schema": {
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      "attributes": [
        { "name": "T", "type": "DataType" }
      ]
    }
  },
  {
    "name": "Bnll",
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      "operator": 8
    }
  },
  {
    "name": "Cast",
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      "operator": 9
    }
  },
  {
    "name": "Concat",
    "schema": {
      "operator": 10,
      "category": "Tensor"
    }
  },
  {
    "name": "Const",
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      "operator": 11,
      "category": "Constant"
    }
  },
  {
    "name": "Convolution",
    "schema": {
      "operator": 12,
      "category": "Layer",
      "attributes": [
        { "name": "padMode", "type": "PadMode" }
      ]
    }
  },
  {
    "name": "ConvolutionDepthwise",
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      "category": "Layer",
      "attributes": [
        { "name": "padMode", "type": "PadMode" }
      ]
    }
  },
  {
    "name": "Crop",
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      "operator": 14,
      "category": "Data"
    }
  },
  {
    "name": "CropAndResize",
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      "operator": 15,
      "category": "Shape"
    }
  },
  {
    "name": "Cubic",
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      "operator": 16,
      "category": "Layer"
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  },
  {
    "name": "Deconvolution",
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      "operator": 17,
      "category": "Layer"
    }
  },
  {
    "name": "DeconvolutionDepthwise",
    "schema": {
      "operator": 18,
      "category": "Layer"
    }
  },
  {
    "name": "Dequantize",
    "schema": {
      "operator": 19
    }
  },
  {
    "name": "DetectionOutput",
    "schema": {
      "operator": 20
    }
  },
  {
    "name": "Dropout",
    "schema": {
      "operator": 21,
      "category": "Dropout"
    }
  },
  {
    "name": "Eltwise",
    "schema": {
      "operator": 22
    }
  },
  {
    "name": "ELU",
    "schema": {
      "operator": 23
    }
  },
  {
    "name": "Embed",
    "schema": {
      "operator": 24,
      "category": "Transform"
    }
  },
  {
    "name": "Exp",
    "schema": {
      "operator": 25
    }
  },
  {
    "name": "ExpandDims",
    "schema": {
      "operator": 26
    }
  },
  {
    "name": "Fill",
    "schema": {
      "operator": 27,
      "category": "Data"
    }
  },
  {
    "name": "Flatten",
    "schema": {
      "operator": 28,
      "category": "Shape"
    }
  },
  {
    "name": "FloorMod",
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      "operator": 29,
      "category": "Layer"
    }
  },
  {
    "name": "Gather",
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      "operator": 30,
      "category": "Data"
    }
  },
  {
    "name": "GatherV2",
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      "operator": 31,
      "category": "Data"
    }
  },
  {
    "name": "Im2Seq",
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      "operator": 32,
      "category": "Transform"
    }
  },
  {
    "name": "InnerProduct",
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      "operator": 33,
      "category": "Layer"
    }
  },
  {
    "name": "Input",
    "schema": {
      "operator": 34
    }
  },
  {
    "name": "Interp",
    "schema": {
      "operator": 35
    }
  },
  {
    "name": "Log",
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      "operator": 36,
      "category": "Layer"
    }
  },
  {
    "name": "LRN",
    "schema": {
      "operator": 37,
      "category": "Normalization"
    }
  },
  {
    "name": "LSTM",
    "schema": {
      "operator": 38,
      "category": "Layer"
    }
  },
  {
    "name": "MatMul",
    "schema": {
      "operator": 39
    }
  },
  {
    "name": "MVN",
    "schema": {
      "operator": 40
    }
  },
  {
    "name": "NonMaxSuppression",
    "schema": {
      "operator": 41,
      "category": "Layer"
    }
  },
  {
    "name": "NonMaxSuppressionV2",
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      "operator": 42,
      "category": "Layer"
    }
  },
  {
    "name": "Normalize",
    "schema": {
      "operator": 43,
      "category": "Normalization"
    }
  },
  {
    "name": "Pack",
    "schema": {
      "operator": 44
    }
  },
  {
    "name": "Padding",
    "schema": {
      "operator": 45,
      "category": "Tensor"
    }
  },
  {
    "name": "Permute",
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      "operator": 46,
      "category": "Shape"
    }
  },
  {
    "name": "Pooling",
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      "operator": 47,
      "category": "Pool",
      "attributes": [
        { "name": "isGlobal", "type": "boolean", "default": false },
        { "name": "type", "type": "PoolType" },
        { "name": "padType", "type": "PoolPadType" },
        { "name": "dataType", "type": "DataType" },
        { "name": "ceilModel", "type": "boolean", "default": true }
      ]
    }
  },
  {
    "name": "Power",
    "schema": {
      "operator": 48
    }
  },
  {
    "name": "PReLU",
    "schema": {
      "operator": 49,
      "category": "Activation"
    }
  },
  {
    "name": "PriorBox",
    "schema": {
      "operator": 50
    }
  },
  {
    "name": "Proposal",
    "schema": {
      "operator": 51
    }
  },
  {
    "name": "QuantizedAvgPool",
    "schema": {
      "operator": 52,
      "category": "Pool"
    }
  },
  {
    "name": "QuantizedBiasAdd",
    "schema": {
      "operator": 53
    }
  },
  {
    "name": "QuantizedConcat",
    "schema": {
      "operator": 54,
      "category": "Tensor"
    }
  },
  {
    "name": "QuantizedDepthwiseConv2D",
    "schema": {
      "operator": 55,
      "category": "Layer"
    }
  },
  {
    "name": "QuantizedLogistic",
    "schema": {
      "operator": 56,
      "category": "Activation"
    }
  },
  {
    "name": "QuantizedMatMul",
    "schema": {
      "operator": 57
    }
  },
  {
    "name": "QuantizedMaxPool",
    "schema": {
      "operator": 58,
      "category": "Pool"
    }
  },
  {
    "name": "QuantizedRelu",
    "schema": {
      "operator": 59,
      "category": "Activation"
    }
  },
  {
    "name": "QuantizedRelu6",
    "schema": {
      "operator": 60,
      "category": "Activation"
    }
  },
  {
    "name": "QuantizedReshape",
    "schema": {
      "operator": 61,
      "category": "Shape"
    }
  },
  {
    "name": "QuantizedSoftmax",
    "schema": {
      "operator": 62,
      "category": "Activation"
    }
  },
  {
    "name": "QuantizeMaxMin",
    "schema": {
      "operator": 63
    }
  },
  {
    "name": "QuantizeV2",
    "schema": {
      "operator": 64
    }
  },
  {
    "name": "Range",
    "schema": {
      "operator": 65
    }
  },
  {
    "name": "Rank",
    "schema": {
      "operator": 66
    }
  },
  {
    "name": "ReduceJoin",
    "schema": {
      "operator": 67
    }
  },
  {
    "name": "Reduction",
    "schema": {
      "operator": 68
    }
  },
  {
    "name": "ReLU",
    "schema": {
      "operator": 69,
      "category": "Activation"
    }
  },
  {
    "name": "ReLU6",
    "schema": {
      "operator": 70,
      "category": "Activation"
    }
  },
  {
    "name": "RequantizationRange",
    "schema": {
      "operator": 71
    }
  },
  {
    "name": "Requantize",
    "schema": {
      "operator": 72
    }
  },
  {
    "name": "Reshape",
    "schema": {
      "operator": 73,
      "category": "Shape"
    }
  },
  {
    "name": "Resize",
    "schema": {
      "operator": 74,
      "category": "Shape"
    }
  },
  {
    "name": "RNN",
    "schema": {
      "operator": 75,
      "category": "Layer"
    }
  },
  {
    "name": "ROIPooling",
    "schema": {
      "operator": 76,
      "category": "Pool"
    }
  },
  {
    "name": "Scale",
    "schema": {
      "operator": 77,
      "category": "Layer"
    }
  },
  {
    "name": "Selu",
    "schema": {
      "operator": 78,
      "category": "Activation"
    }
  },
  {
    "name": "Seq2Out",
    "schema": {
      "operator": 79,
      "category": "Transform"
    }
  },
  {
    "name": "Shape",
    "schema": {
      "operator": 80,
      "category": "Shape"
    }
  },
  {
    "name": "Sigmoid",
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      "operator": 81,
      "category": "Layer"
    }
  },
  {
    "name": "Size",
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      "operator": 82,
      "category": "Activation"
    }
  },
  {
    "name": "Slice",
    "schema": {
      "operator": 83,
      "category": "Tensor"
    }
  },
  {
    "name": "SliceTf",
    "schema": {
      "operator": 84
    }
  },
  {
    "name": "Softmax",
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      "operator": 85,
      "category": "Activation"
    }
  },
  {
    "name": "SpaceToBatchND",
    "schema": {
      "operator": 86,
      "category": "Shape"
    }
  },
  {
    "name": "SpatialProduct",
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      "operator": 87,
      "category": "Layer"
    }
  },
  {
    "name": "Split",
    "schema": {
      "operator": 88
    }
  },
  {
    "name": "SPP",
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      "operator": 89,
      "category": "Layer"
    }
  },
  {
    "name": "Squeeze",
    "schema": {
      "operator": 90,
      "category": "Transform"
    }
  },
  {
    "name": "StridedSlice",
    "schema": {
      "operator": 91,
      "category": "Tensor",
      "attributes": [
        { "name": "Index", "type": "DataType" },
        { "name": "T", "type": "DataType" }
      ]
    }
  },
  {
    "name": "StringJoin",
    "schema": {
      "operator": 92,
      "category": "Transform"
    }
  },
  {
    "name": "StringSplit",
    "schema": {
      "operator": 93,
      "category": "Transform"
    }
  },
  {
    "name": "StringToNumber",
    "schema": {
      "operator": 94,
      "category": "Transform"
    }
  },
  {
    "name": "TanH",
    "schema": {
      "operator": 95,
      "category": "Activation"
    }
  },
  {
    "name": "TfQuantizedConv2D",
    "schema": {
      "operator": 96,
      "category": "Layer"
    }
  },
  {
    "name": "Threshold",
    "schema": {
      "operator": 97,
      "category": "Activation"
    }
  },
  {
    "name": "Tile",
    "schema": {
      "operator": 98
    }
  },
  {
    "name": "TopKV2",
    "schema": {
      "operator": 99,
      "category": "Layer"
    }
  },
  {
    "name": "Transpose",
    "schema": {
      "operator": 100,
      "category": "Transform"
    }
  },
  {
    "name": "UnaryOp",
    "schema": {
      "operator": 101
    }
  },
  {
    "name": "Unpack",
    "schema": {
      "operator": 102
    }
  },
  {
    "name": "Where",
    "schema": {
      "operator": 103
    }
  },
  {
    "name": "Moments",
    "schema": {
      "operator": 104,
      "category": "Layer"
    }
  },
  {
    "name": "RNNSequenceGRU",
    "schema": {
      "operator": 105,
      "category": "Layer"
    }
  },
  {
    "name": "BatchMatMul",
    "schema": {
      "operator": 106
    }
  },
  {
    "name": "Unsqueeze",
    "schema": {
      "operator": 107
    }
  },
  {
    "name": "MaxLayerCount",
    "schema": {
      "operator": 128
    }
  },
  {
    "name": "ConvertTensor",
    "schema": {
      "operator": 129,
      "category": "Tensor"
    }
  },
  {
    "name": "PLUGIN",
    "schema": {
      "operator": 256,
      "category": "Layer"
    }
  },
  {
    "name": "Select",
    "schema": {
      "operator": 257,
      "category": "Layer"
    }
  },
  {
    "name": "ZerosLike",
    "schema": {
      "operator": 258,
      "category": "Layer"
    }
  },
  {
    "name": "Broastcast",
    "schema": {
      "operator": 259,
      "category": "Layer"
    }
  },
  {
    "name": "SetDiff1D",
    "schema": {
      "operator": 260,
      "category": "Layer"
    }
  },
  {
    "name": "ReluGrad",
    "schema": {
      "operator": 261,
      "category": "Activation"
    }
  },
  {
    "name": "Relu6Grad",
    "schema": {
      "operator": 262,
      "category": "Activation"
    }
  },
  {
    "name": "PoolGrad",
    "schema": {
      "operator": 263,
      "category": "Pool"
    }
  },
  {
    "name": "SoftmaxGrad",
    "schema": {
      "operator": 264,
      "category": "Activation"
    }
  },
  {
    "name": "Conv2DBackPropFilter",
    "schema": {
      "operator": 265,
      "category": "Layer"
    }
  },
  {
    "name": "ConvInt8",
    "schema": {
      "operator": 513,
      "category": "Layer"
    }
  },
  {
    "name": "Int8ToFloat",
    "schema": {
      "operator": 514,
      "category": "Transform"
    }
  },
  {
    "name": "DepthwiseConvInt8",
    "schema": {
      "operator": 515,
      "category": "Layer"
    }
  },
  {
    "name": "PoolInt8",
    "schema": {
      "operator": 516,
      "category": "Layer"
    }
  },
  {
    "name": "FloatToInt8",
    "schema": {
      "operator": 517,
      "category": "Transform"
    }
  }
]