mxnet-metadata.json

[
  {
    "name": "Convolution",
    "schema": {
      "attributes": [
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          "default": false,
          "name": "cudnn_off",
          "type": "boolean"
        },
        {
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          "name": "cudnn_tune"
        },
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          "name": "dilate",
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          "type": "int32[]"
        },
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          "name": "no_bias",
          "type": "boolean"
        },
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        {
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        },
        {
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        },
        {
          "type": "int32",
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        }
      ],
      "category": "Layer",
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        },
        {
          "name": "weight"
        },
        {
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          "option": "optional"
        }
      ],
      "outputs": [
        { 
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        }
      ]
    }
  },
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    "name": "Deconvolution",
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        },
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        },
        {
          "name": "bias"
        }
      ],
      "outputs": [
        { 
          "name": "output"
        }
      ]
    }
  },
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          "name": "flatten"
        },
        {
          "type": "boolean",
          "visible": false,
          "name": "no_bias"
        },
        {
          "type": "int32",
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      ],
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        },
        {
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        }
      ],
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        { 
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      ]
    }
  },
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          "name": "p"
        }
      ],
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      ],
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      ]
    }
  },
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        { "name": "beta", "type": "float32", "default": 0.75 },
        { "name": "knorm", "type": "float32", "default": 2 },
        { "name": "nsize", "type": "int32" }
      ],
      "inputs": [
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      ],
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      ]
    }
  },
  {
    "name": "SoftmaxOutput",
    "schema": {
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          "name": "grad_scale"
        },
        {
          "default": "-1",
          "name": "ignore_label"
        },
        {
          "default": false,
          "name": "multi_output"
        },
        {
          "default": "null",
          "name": "normalization"
        },
        {
          "default": false,
          "name": "out_grad"
        },
        {
          "default": "0",
          "name": "smooth_alpha"
        },
        {
          "default": false,
          "name": "use_ignore"
        },
        {
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          "name": "preserve_shape"
        }
      ],
      "category": "Activation",
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        },
        {
          "name": "label"
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      ],
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      ]
    }
  },
  {
    "name": "SoftmaxActivation",
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      ],
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      ]
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      ]
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  {
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      ],
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      ]
    }
  },
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          "name": "cudnn_off"
        },
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          "name": "global_pool"
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          "type": "int32[]"
        },
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          "name": "pad",
          "type": "int32[]"
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        {
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          "name": "stride",
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      ],
      "category": "Pool",
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      ],
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      ]
    }
  },
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      ],
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      ]
    }
  },
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    "name": "Concat",
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          "name": "dim"
        },
        {
          "visible": false,
          "name": "num_args"
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      ],
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          "option": "variadic"
        }
      ],
      "outputs": [
        { "name": "output" }
      ]
    }
  },
  {
    "name": "SliceChannel",
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          "name": "inputs"
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      ],
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      ]
    }
  },
  {
    "name": "_Plus",
    "schema": {
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        {
          "name": "inputs",
          "option": "variadic"
        }
      ],
      "outputs": [
        { "name": "output" }
      ]
    }
  },
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        { "name": "rhs" }
      ],
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      ]
    }
  },
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        { "name": "rhs" }
      ],
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      ]
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        { "name": "rhs" }
      ],
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      ]
    }
  },
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    "name": "BatchNorm",
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          "name": "axis"
        },
        {
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          "name": "eps"
        },
        {
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          "default": 0.9,
          "name": "momentum"
        },
        {
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          "default": true,
          "name": "fix_gamma"
        },
        {
          "type": "boolean",
          "default": false,
          "name": "use_global_stats"
        }
      ],
      "category": "Normalization",
      "inputs": [
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        { "name": "gamma" },
        { "name": "beta" },
        { "name": "mean" },
        { "name": "variance" }
      ],
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      ]
    }
  },
  {
    "name": "CuDNNBatchNorm",
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      ]
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    "name": "ElementWiseSum",
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      ],
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      ]
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    "name": "Embedding",
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      ]
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    "name": "RNN",
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          "type": "boolean",
          "name": "bidirectional", 
          "default": false
        },
        { 
          "name": "lstm_parameters", 
          "visible": false
        },
        { 
          "type": "int32",
          "name": "num_layers"
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        { 
          "type": "boolean",
          "default": false,
          "name": "state_outputs"
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        { 
          "type": "float32",
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        }
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        { "name": "state_0" },
        { "name": "state_1" }
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    }
  },
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      ],
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      ]
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      ],
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        { "name": "scalar", "type": "float32" }
      ],
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        { "name": "rhs" }
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        { "name": "rhs" }
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  },
  {
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      ],
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  },
  {
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  },
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  },
  {
    "name": "Pad",
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      ],
      "outputs": [
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      ]
    }
  },
  {
    "name": "relu",
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      "category": "Activation",
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      ],
      "outputs": [
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  },
  {
    "name": "softmax",
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  },
  {
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        { "name": "weights" },
        { "name": "bias" }
      ],
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      ]
    }
  },
  {
    "name": "_zeros",
    "schema": {
      "category": "Constant",
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        { "name": "input" }
      ],
      "outputs": [
        { "name": "output" }
      ]
    }
  },
  {
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        { "name": "y" }
      ],
      "outputs": [
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  },
  {
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        { "name": "y" }
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  },
  {
    "name": "MakeLoss",
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      "outputs": [
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  },
  {
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  {
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    }
  },
  {
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      "outputs": [
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    }
  },
  {
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      ],
      "outputs": [
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      ]
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  },
  {
    "name": "log",
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        { "name": "input" }
      ],
      "outputs": [
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    }
  },
  {
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    "schema": {
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      "outputs": [
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    }
  }
]