netron/source/espdl-metadata.json

[
  {
    "name": "Add",
    "module": "espdl",
    "version": 1,
    "description": "Element-wise addition of two tensors.",
    "inputs": [
      { "name": "A", "description": "First input tensor" },
      { "name": "B", "description": "Second input tensor" }
    ],
    "outputs": [
      { "name": "C", "description": "Output tensor" }
    ],
    "category": "Tensor"
  },
  {
    "name": "AveragePool",
    "module": "espdl",
    "version": 1,
    "description": "Average pooling operation.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Pool"
  },
  {
    "name": "BatchNormalization",
    "module": "espdl",
    "version": 1,
    "description": "Batch normalization.",
    "inputs": [
      { "name": "X", "description": "Input data tensor" },
      { "name": "scale", "description": "Scale tensor" },
      { "name": "B", "description": "Bias tensor" },
      { "name": "mean", "description": "Mean tensor" },
      { "name": "var", "description": "Variance tensor" }
    ],
    "outputs": [
      { "name": "Y", "description": "Output data tensor" },
      { "name": "mean", "description": "Updated mean tensor (optional)" },
      { "name": "var", "description": "Updated variance tensor (optional)" },
      { "name": "saved_mean", "description": "Saved mean tensor (optional)" },
      { "name": "saved_var", "description": "Saved variance tensor (optional)" }
    ],
    "category": "Normalization"
  },
  {
    "name": "Clip",
    "module": "espdl",
    "version": 1,
    "category": "Activation",
    "description": "Clip operator limits values to a specified range.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Clipped output tensor" }
    ]
  },
  {
    "name": "Concat",
    "module": "espdl",
    "version": 1,
    "description": "Concatenates tensors along a given axis.",
    "inputs": [
      { "name": "inputs", "list": true, "description": "Input tensors to concatenate" }
    ],
    "outputs": [
      { "name": "output", "description": "Concatenated output tensor" }
    ],
    "category": "Tensor"
  },
  {
    "name": "Conv",
    "module": "espdl",
    "version": 1,
    "description": "Convolution operator. Applies a convolution filter to the input.",
    "inputs": [
      { "name": "input", "description": "Input feature map" },
      { "name": "weight", "description": "Convolution kernel weights" },
      { "name": "bias", "option": "optional", "description": "Bias values (optional)" }
    ],
    "outputs": [
      { "name": "output", "description": "Output feature map" }
    ],
    "category": "Layer"
  },
  {
    "name": "Gemm",
    "module": "espdl",
    "version": 1,
    "description": "General matrix multiplication: alpha * A * B + beta * C",
    "inputs": [
      { "name": "A", "description": "Input tensor A" },
      { "name": "B", "description": "Input tensor B" },
      { "name": "C", "option": "optional", "description": "Input tensor C (optional)" }
    ],
    "outputs": [
      { "name": "Y", "description": "Output tensor" }
    ],
    "category": "Layer"
  },
  {
    "name": "GlobalAveragePool",
    "module": "espdl",
    "version": 1,
    "description": "Global average pooling operation for temporal data.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Pool"
  },
  {
    "name": "HardSwish",
    "module": "espdl",
    "version": 1,
    "category": "Activation",
    "description": "Hard swish activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ]
  },
  {
    "name": "LeakyRelu",
    "module": "espdl",
    "version": 1,
    "category": "Activation",
    "description": "Leaky Rectified Linear Unit activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ]
  },
  {
    "name": "MaxPool",
    "module": "espdl",
    "version": 1,
    "description": "Max pooling operation.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Pool"
  },
  {
    "name": "Mul",
    "module": "espdl",
    "version": 1,
    "description": "Element-wise multiplication of two tensors.",
    "inputs": [
      { "name": "A", "description": "First input tensor" },
      { "name": "B", "description": "Second input tensor" }
    ],
    "outputs": [
      { "name": "C", "description": "Output tensor" }
    ],
    "category": "Tensor"
  },
  {
    "name": "Pad",
    "module": "espdl",
    "version": 1,
    "category": "Tensor",
    "description": "Pad operator adds padding to tensor dimensions.",
    "inputs": [
      { "name": "input", "description": "Input tensor" },
      { "name": "pads", "description": "Padding values" }
    ],
    "outputs": [
      { "name": "output", "description": "Padded output tensor" }
    ]
  },
  {
    "name": "Relu",
    "module": "espdl",
    "version": 1,
    "description": "Rectified Linear Unit activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Activation"
  },
  {
    "name": "RequantizeLinear",
    "module": "espdl",
    "version": 1,
    "category": "Quantization",
    "description": "Requantize linear quantization operator.",
    "inputs": [
      { "name": "input", "description": "Input tensor to requantize" },
      { "name": "scale", "description": "Scale for requantization" },
      { "name": "zero_point", "description": "Zero point for requantization" }
    ],
    "outputs": [
      { "name": "output", "description": "Requantized output tensor" }
    ]
  },
  {
    "name": "Reshape",
    "module": "espdl",
    "version": 1,
    "description": "Reshapes a tensor to a new shape.",
    "inputs": [
      { "name": "data", "description": "Input tensor" },
      { "name": "shape", "description": "New shape" }
    ],
    "outputs": [
      { "name": "reshaped", "description": "Reshaped output tensor" }
    ],
    "category": "Shape"
  },
  {
    "name": "Resize",
    "module": "espdl",
    "version": 1,
    "category": "Data",
    "description": "Resize operator for spatial dimensions.",
    "inputs": [
      { "name": "input", "description": "Input tensor" },
      { "name": "scales", "description": "Scale factors for each dimension" }
    ],
    "outputs": [
      { "name": "output", "description": "Resized output tensor" }
    ]
  },
  {
    "name": "Sigmoid",
    "module": "espdl",
    "version": 1,
    "description": "Sigmoid activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Activation"
  },
  {
    "name": "Softmax",
    "module": "espdl",
    "version": 1,
    "description": "Softmax activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Activation"
  },
  {
    "name": "Split",
    "module": "espdl",
    "version": 1,
    "description": "Splits a tensor into multiple tensors along a given axis.",
    "inputs": [
      { "name": "input", "description": "Input tensor to split" },
      { "name": "split", "description": "Optional list of split sizes or number of splits" }
    ],
    "outputs": [
      { "name": "outputs", "list": true, "description": "Output tensors" }
    ],
    "category": "Tensor"
  },
  {
    "name": "Swish",
    "module": "espdl",
    "version": 1,
    "category": "Activation",
    "description": "Swish activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ]
  },
  {
    "name": "Tanh",
    "module": "espdl",
    "version": 1,
    "description": "Hyperbolic tangent activation function.",
    "inputs": [
      { "name": "input", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "output", "description": "Output tensor" }
    ],
    "category": "Activation"
  },
  {
    "name": "Transpose",
    "module": "espdl",
    "version": 1,
    "description": "Transposes the dimensions of a tensor.",
    "inputs": [
      { "name": "data", "description": "Input tensor" }
    ],
    "outputs": [
      { "name": "transposed", "description": "Transposed output tensor" }
    ],
    "category": "Tensor"
  }
]