netron/source/om-metadata.json

[
  {
    "name": "Acos",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Acosh",
    "category": "Activation",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Activation",
    "category": "Activation",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "mode", "type": "Enum", "enum": [   "Sigmoid",   "ReLU",   "Tanh",   "Clipped ReLU",   "ELU",   "PReLU",   "Abs",   "Relu1",   "Softsign",   "Softplus",   "Hardsigmoid",   "Threshold ReLU",   "Selu",   "Linear",   "Relu6",   "GeLU" ] },
      { "name": "coef" },
      { "name": "negative_slope" }
    ]
  },
  {
    "name": "ReLU",
    "category": "Activation"
  },
  {
    "name": "Relu",
    "category": "Activation"
  },
  {
    "name": "Add",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ArgMax",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "keep_dims" },
      { "name": "axis" },
      { "name": "output_type" },
      { "name": "outmaxval" },
      { "name": "topk" }
    ]
  },
  {
    "name": "ArgMaxExt2",
    "inputs": [
      { "name": "x" },
      { "name": "axis" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "output_type" },
      { "name": "keep_dims" },
      { "name": "outmaxval" },
      { "name": "topk" }
    ]
  },
  {
    "name": "ArgMin",
    "inputs": [
      { "name": "x" },
      { "name": "axis" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Asin",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Asinh",
    "category": "Activation",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Atan",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Atanh",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "AxisAlignedBboxTransform",
    "inputs": [
      { "name": "roi" },
      { "name": "bbox_deltas" },
      { "name": "batch_split" },
      { "name": "im_info" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "BatchMatMul",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "adj_x1" },
      { "name": "adj_x2" }
    ]
  },
  {
    "name": "BatchNorm",
    "category": "Normalization",
    "inputs": [
      { "name": "x" },
      { "name": "scale" },
      { "name": "b" },
      { "name": "mean" },
      { "name": "variance" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "momentum" },
      { "name": "epsilon" },
      { "name": "mode" },
      { "name": "use_global_stats" }
    ]
  },
  {
    "name": "BatchNormExt2",
    "inputs": [
      { "name": "x" },
      { "name": "scale" },
      { "name": "offset" },
      { "name": "mean" },
      { "name": "variance" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "momentum" },
      { "name": "epsilon" },
      { "name": "mode" },
      { "name": "use_global_stats" }
    ]
  },
  {
    "name": "BatchReindex",
    "inputs": [
      { "name": "x" },
      { "name": "reindex" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "BatchToSpaceND",
    "inputs": [
      { "name": "x" },
      { "name": "block_shape" },
      { "name": "crops" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Bias",
    "inputs": [
      { "name": "x" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "axis" }
    ]
  },
  {
    "name": "BiasAdd",
    "category": "Layer",
    "inputs": [
      { "name": "x" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "data_format" }
    ]
  },
  {
    "name": "BidirectionLSTM",
    "inputs": [
      { "name": "x" },
      { "name": "seq_len" },
      { "name": "w_fw" },
      { "name": "w_bw" },
      { "name": "c_0_fw" },
      { "name": "h_0_fw" },
      { "name": "c_0_bw" },
      { "name": "h_0_bw" }
    ],
    "outputs": [
      { "name": "y_fw" },
      { "name": "y_bw" },
      { "name": "h_t_fw" },
      { "name": "c_t_fw" },
      { "name": "h_t_bw" },
      { "name": "c_t_bw" }
    ],
    "attributes": [
      { "name": "forget_bias" },
      { "name": "num_layers" },
      { "name": "activation" },
      { "name": "cell_type" },
      { "name": "state_is_tuple" }
    ]
  },
  {
    "name": "BNInference",
    "inputs": [
      { "name": "x" },
      { "name": "mean" },
      { "name": "variance" },
      { "name": "scale" },
      { "name": "offset" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "momentum" },
      { "name": "epsilon" },
      { "name": "mode" },
      { "name": "use_global_stats" }
    ]
  },
  {
    "name": "BNLL",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "BroadcastTo",
    "inputs": [
      { "name": "x" },
      { "name": "shape" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Cast",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "SrcT" },
      { "name": "DstT" }
    ]
  },
  {
    "name": "CastT",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "src_dtype" },
      { "name": "dst_dtype" }
    ]
  },
  {
    "name": "Ceil",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ChannelAxpy",
    "inputs": [
      { "name": "a" },
      { "name": "x" },
      { "name": "y" }
    ],
    "outputs": [
      { "name": "z" }
    ]
  },
  {
    "name": "ChannelShuffle",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "axis" },
      { "name": "num_group" }
    ]
  },
  {
    "name": "Clip",
    "inputs": [
      { "name": "x" },
      { "name": "clip_value_min" },
      { "name": "clip_value_max" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Clipboxes",
    "inputs": [
      { "name": "x" },
      { "name": "im_info" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ClipByValue",
    "inputs": [
      { "name": "x" },
      { "name": "clip_value_min" },
      { "name": "clip_value_max" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Concat",
    "category": "Tensor",
    "inputs": [
      { "name": "x", "type": "Tensor[]" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ConcatD",
    "category": "Tensor",
    "inputs": [
      { "name": "x", "type": "Tensor[]" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ConcatV2D",
    "category": "Tensor",
    "inputs": [
      { "name": "x", "type": "Tensor[]" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Const",
    "category": "Constant",
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "value" }
    ]
  },
  {
    "name": "Conv2D",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "DepthwiseConv2D",
    "category": "Layer",
    "inputs": [
      { "name": "input" },
      { "name": "weights" },
      { "name": "bias" }
    ],
    "outputs": [
      { "name": "output" }
    ]
  },
  {
    "name": "Convolution",
    "category": "Layer",
    "inputs": [
      { "name": "x" },
      { "name": "filter" },
      { "name": "bias" },
      { "name": "offset_w" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "strides" },
      { "name": "dilations" },
      { "name": "pads" },
      { "name": "pad_mode", "type": "Padding" },
      { "name": "groups" },
      { "name": "data_format" },
      { "name": "offset_x" },
      { "name": "mode", "type": "Enum", "enum": [   "Convolution",   "Cross Correlation",   "Deconvolution",   "Depthwise" ] },
      { "name": "algo", "type": "Enum", "enum": [   "GEMM",   "Winograd",   "GEMM_ACCU_Float32" ] }
    ]
  },
  {
    "name": "ConvolutionDepthwise",
    "category": "Layer",
    "inputs": [
      { "name": "x" },
      { "name": "filter" },
      { "name": "bias" },
      { "name": "offset_w" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "strides" },
      { "name": "dilations" },
      { "name": "pads" },
      { "name": "pad_mode", "type": "Padding" },
      { "name": "data_format" },
      { "name": "offset_x" }
    ]
  },
  {
    "name": "ConvTranspose",
    "category": "Layer",
    "inputs": [
      { "name": "output_shape" },
      { "name": "filter" },
      { "name": "x" },
      { "name": "bias" },
      { "name": "offset_w" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "strides" },
      { "name": "pads" },
      { "name": "pad_mode", "type": "Padding" },
      { "name": "dilations" },
      { "name": "groups" },
      { "name": "data_format" },
      { "name": "offset_x" }
    ]
  },
  {
    "name": "Copy",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Cos",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Cosh",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Crop",
    "inputs": [
      { "name": "x" },
      { "name": "size" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "axis" },
      { "name": "offsets" }
    ]
  },
  {
    "name": "CropAndResize",
    "inputs": [
      { "name": "x" },
      { "name": "boxes" },
      { "name": "box_index" },
      { "name": "crop_size" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "extrapolation_value" },
      { "name": "method" }
    ]
  },
  {
    "name": "Cumprod",
    "inputs": [
      { "name": "x" },
      { "name": "axis" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "exclusive" },
      { "name": "reverse" }
    ]
  },
  {
    "name": "Cumsum",
    "inputs": [
      { "name": "x" },
      { "name": "axis" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "exclusive" },
      { "name": "reverse" }
    ]
  },
  {
    "name": "Data",
    "category": "Data",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "index" }
    ]
  },
  {
    "name": "DecodeBBox",
    "inputs": [
      { "name": "box_predictions" },
      { "name": "anchors" }
    ],
    "outputs": [
      { "name": "decoded_boxes" }
    ],
    "attributes": [
      { "name": "decode_clip" }
    ]
  },
  {
    "name": "Deconvolution",
    "category": "Layer",
    "inputs": [
      { "name": "input_sizes" },
      { "name": "filter" },
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "group" },
      { "name": "num_output" },
      { "name": "pad" },
      { "name": "stride" },
      { "name": "dilation" },
      { "name": "pad_mode", "type": "Padding" },
      { "name": "Padding" },
      { "name": "bias_term" },
      { "name": "kernel" }
    ]
  },
  {
    "name": "DepthToSpace",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "block_size" },
      { "name": "mode" },
      { "name": "data_format" }
    ]
  },
  {
    "name": "Dequantize",
    "category": "Quantization",
    "inputs": [
      { "name": "x" },
      { "name": "min_range" },
      { "name": "max_range" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "mode" }
    ]
  },
  {
    "name": "DetectionPostprocessing",
    "inputs": [
      { "name": "score" },
      { "name": "bbox_delta" },
      { "name": "anchors" }
    ],
    "outputs": [
      { "name": "detect_scores" },
      { "name": "rois" },
      { "name": "detect_class" },
      { "name": "actual_rois_num" }
    ]
  },
  {
    "name": "DynamicImageData",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "max_src_image_size" },
      { "name": "image_type" }
    ]
  },
  {
    "name": "Eltwise",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "N" },
      { "name": "mode", "type": "Enum", "enum": [ "Product", "Sum", "Max" ] },
      { "name": "coeff" }
    ]
  },
  {
    "name": "Elu",
    "category": "Activation"
  },
  {
    "name": "Equal",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Erf",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Exp",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "base" },
      { "name": "scale" },
      { "name": "shift" }
    ]
  },
  {
    "name": "ExpandDims",
    "inputs": [
      { "name": "x" },
      { "name": "axis" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Expm1",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "ExtractImagePatches",
    "inputs": [
      { "name": "images" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "ksizes" },
      { "name": "strides" },
      { "name": "rates" },
      { "name": "padding" }
    ]
  },
  {
    "name": "FakeQuantWithMinMaxVars",
    "inputs": [
      { "name": "x" },
      { "name": "min" },
      { "name": "max" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "num_bits" },
      { "name": "narrow_range" }
    ]
  },
  {
    "name": "FakeQuantWithMinMaxVarsPerChannel",
    "inputs": [
      { "name": "x" },
      { "name": "min" },
      { "name": "max" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "num_bits" },
      { "name": "narrow_range" }
    ]
  },
  {
    "name": "Fc",
    "category": "Layer",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Fill",
    "inputs": [
      { "name": "dims" },
      { "name": "value" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Flatten",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "FlattenV2",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "axis" },
      { "name": "end_axis" }
    ]
  },
  {
    "name": "Floor",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "FloorDiv",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "FloorMod",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "FractionalPooling",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" },
      { "name": "row_pooling_sequence" },
      { "name": "col_pooling_sequence" }
    ],
    "attributes": [
      { "name": "mode" },
      { "name": "pooling_ratio" },
      { "name": "pseudo_random" },
      { "name": "overlapping" },
      { "name": "deterministic" },
      { "name": "seed" },
      { "name": "seed2" }
    ]
  },
  {
    "name": "FSRDetectionOutput",
    "inputs": [
      { "name": "rois" },
      { "name": "bbox_delta" },
      { "name": "score" },
      { "name": "im_info" },
      { "name": "actual_rois_num" }
    ],
    "outputs": [
      { "name": "actual_bbox_num" },
      { "name": "box" }
    ],
    "attributes": [
      { "name": "num_classes" },
      { "name": "score_threshold" },
      { "name": "iou_threshold" },
      { "name": "batch_rois" }
    ]
  },
  {
    "name": "FullConnection",
    "category": "Layer",
    "inputs": [
      { "name": "x" },
      { "name": "w" },
      { "name": "b" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "num_output" }
    ]
  },
  {
    "name": "FullyConnection",
    "category": "Layer",
    "inputs": [
      { "name": "X" },
      { "name": "W" },
      { "name": "B" },
      { "name": "offset_w" }
    ],
    "outputs": [
      { "name": "Y" }
    ]
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      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "num" },
      { "name": "axis" }
    ]
  },
  {
    "name": "UnsortedSegmentSum",
    "inputs": [
      { "name": "x" },
      { "name": "segment_ids" },
      { "name": "num_segments" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  },
  {
    "name": "Upsample",
    "category": "Data",
    "inputs": [
      { "name": "x" }
    ],
    "outputs": [
      { "name": "y" }
    ],
    "attributes": [
      { "name": "stride_h" },
      { "name": "stride_w" },
      { "name": "scale" }
    ]
  },
  {
    "name": "Xlogy",
    "inputs": [
      { "name": "x1" },
      { "name": "x2" }
    ],
    "outputs": [
      { "name": "y" }
    ]
  }
]