netron/source/onednn-metadata.json

[
  {
    "name": "End"
  },
  {
    "name": "Wildcard"
  },
  {
    "name": "StaticReshape",
    "category": "Shape"
  },
  {
    "name": "AvgPoolBackward",
    "category": "Pool"
  },
  {
    "name": "AvgPool",
    "category": "Pool"
  },
  {
    "name": "MaxPoolBackward",
    "category": "Pool"
  },
  {
    "name": "MaxPool",
    "category": "Pool"
  },
  {
    "name": "LayerNormBackward",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "diff_dst" },
      { "name": "mean" },
      { "name": "variance" },
      { "name": "gamma" },
      { "name": "beta" }
    ],
    "outputs": [
      { "name": "diff_src" },
      { "name": "diff_gamma" },
      { "name": "diff_beta" }
    ]
  },
  {
    "name": "BatchNormInference",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "gamma" },
      { "name": "beta" },
      { "name": "mean" },
      { "name": "variance" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "BatchNormTrainingBackward",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "diff_dst" },
      { "name": "mean" },
      { "name": "variance" },
      { "name": "gamma" }
    ],
    "outputs": [
      { "name": "diff_src" },
      { "name": "diff_gamma" },
      { "name": "diff_beta" }
    ]
  },
  {
    "name": "BatchNormForwardTraining",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "mean" },
      { "name": "variance" },
      { "name": "gamma" },
      { "name": "beta" }
    ],
    "outputs": [
      { "name": "output" },
      { "name": "running_mean" },
      { "name": "running_variance" },
      { "name": "batch_mean" },
      { "name": "batch_variance" }
    ]
  },
  {
    "name": "LayerNorm",
    "category": "Normalization",
    "inputs": [
      { "name": "input" },
      { "name": "gamma" },
      { "name": "beta" }
    ],
    "outputs": [
      { "name": "dst" },
      { "name": "mean" },
      { "name": "variance" }
    ]
  },
  {
    "name": "DynamicDequantize",
    "category": "Quantization"
  },
  {
    "name": "DynamicQuantize",
    "category": "Quantization"
  },
  {
    "name": "Dequantize",
    "category": "Quantization"
  },
  {
    "name": "Quantize",
    "category": "Quantization"
  },
  {
    "name": "TypeCast"
  },
  {
    "name": "ReLU",
    "category": "Activation"
  },
  {
    "name": "Sigmoid",
    "category": "Activation"
  },
  {
    "name": "SoftMaxBackward",
    "category": "Activation"
  },
  {
    "name": "MishBackward",
    "category": "Activation"
  },
  {
    "name": "GELU",
    "category": "Activation"
  },
  {
    "name": "ClampBackward",
    "category": "Activation"
  },
  {
    "name": "Mish",
    "category": "Activation"
  },
  {
    "name": "PReLU",
    "category": "Activation"
  },
  {
    "name": "SigmoidBackward",
    "category": "Activation"
  },
  {
    "name": "LogSoftmax",
    "category": "Activation"
  },
  {
    "name": "Clamp",
    "category": "Activation"
  },
  {
    "name": "TanhBackward",
    "category": "Activation"
  },
  {
    "name": "ReLUBackward",
    "category": "Activation"
  },
  {
    "name": "Exp",
    "category": "Activation"
  },
  {
    "name": "SoftMax",
    "category": "Activation"
  },
  {
    "name": "HardSwish",
    "category": "Activation"
  },
  {
    "name": "LeakyReLU",
    "category": "Activation"
  },
  {
    "name": "LogSoftmaxBackward",
    "category": "Activation"
  },
  {
    "name": "Tanh",
    "category": "Activation"
  },
  {
    "name": "Elu",
    "category": "Activation"
  },
  {
    "name": "SoftPlus",
    "category": "Activation"
  },
  {
    "name": "EluBackward",
    "category": "Activation"
  },
  {
    "name": "GELUBackward",
    "category": "Activation"
  },
  {
    "name": "SoftPlusBackward",
    "category": "Activation"
  },
  {
    "name": "PReLUBackward",
    "category": "Activation"
  },
  {
    "name": "HardSwishBackward",
    "category": "Activation"
  },
  {
    "name": "Interpolate"
  },
  {
    "name": "InterpolateBackward"
  },
  {
    "name": "ReduceMax"
  },
  {
    "name": "ReduceL2"
  },
  {
    "name": "ReduceL1"
  },
  {
    "name": "ReduceSum"
  },
  {
    "name": "ReduceProd"
  },
  {
    "name": "ReduceMean"
  },
  {
    "name": "ReduceMin"
  },
  {
    "name": "Reorder",
    "category": "Transform"
  },
  {
    "name": "Concat",
    "category": "Tensor"
  },
  {
    "name": "StaticTranspose",
    "category": "Transform"
  },
  {
    "name": "Abs"
  },
  {
    "name": "Sqrt"
  },
  {
    "name": "Round"
  },
  {
    "name": "Subtract"
  },
  {
    "name": "Erf"
  },
  {
    "name": "Minimum"
  },
  {
    "name": "Reciprocal"
  },
  {
    "name": "BiasAddBackward"
  },
  {
    "name": "Divide"
  },
  {
    "name": "SquaredDifference"
  },
  {
    "name": "Multiply"
  },
  {
    "name": "AbsBackward"
  },
  {
    "name": "Square"
  },
  {
    "name": "Maximum"
  },
  {
    "name": "Add"
  },
  {
    "name": "SqrtBackward"
  },
  {
    "name": "Log"
  },
  {
    "name": "BiasAdd",
    "inputs": [
      { "name": "input" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvTranspose",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Convolution",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvTransposeBackwardData",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvolutionBackwardData",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "dst_shape" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvolutionBackwardWeights",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "diff_dst" },
      { "name": "weights_shape" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "ConvTransposeBackwardWeights",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "diff_dst" },
      { "name": "weights_shape" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "MatMul",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  }
]