cavis/contrib/codegen-tools/libnd4j-gen/op-ir.proto

opList {
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    name: "input"
    argType: INPUT_TENSOR
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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}
opList {
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    name: "thresholdAbsolute"
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}
opList {
  name: "BinaryRelativeError"
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    argType: OUTPUT_TENSOR
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  argDescriptor {
    name: "threshold"
    argType: DOUBLE
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  opDeclarationType: LEGACY_XYZ
}
opList {
  name: "ClipByValue"
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    name: "input"
    argType: INPUT_TENSOR
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    name: "clipValueMin"
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    name: "clipValueMax"
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    argIndex: 1
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}
opList {
  name: "Conditional"
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    name: "outputs"
    argType: OUTPUT_TENSOR
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}
opList {
  name: "ExternalErrorsFn"
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    name: "outputs"
    argType: OUTPUT_TENSOR
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}
opList {
  name: "Floor"
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    name: "input"
    argType: INPUT_TENSOR
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: OP_IMPL
}
opList {
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    name: "input"
    argType: INPUT_TENSOR
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: OP_IMPL
}
opList {
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    name: "outputs"
    argType: OUTPUT_TENSOR
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}
opList {
  name: "Pow"
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    name: "input"
    argType: INPUT_TENSOR
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    name: "y"
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: BROADCASTABLE_OP_IMPL
}
opList {
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    argType: INPUT_TENSOR
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  argDescriptor {
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  argDescriptor {
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    name: "dLdx"
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    name: "dLdy"
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    argIndex: 4
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    name: "dtype"
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    name: "dLdy"
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  argDescriptor {
    name: "inPlace"
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opList {
  name: "Reciprocal"
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    name: "input"
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    name: "dataType"
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    name: "outputs"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "input"
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    name: "y"
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    name: "inPlace"
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: LEGACY_XYZ
}
opList {
  name: "Return"
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    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: LOGIC_OP_IMPL
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opList {
  name: "Scope"
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    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: LOGIC_OP_IMPL
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opList {
  name: "Switch"
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    name: "input"
    argType: INPUT_TENSOR
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    name: "condition"
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  argDescriptor {
    name: "outputs"
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opList {
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    name: "condition"
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  argDescriptor {
    name: "input"
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  argDescriptor {
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  argDescriptor {
    name: "dtype"
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    name: "outputs"
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opList {
  name: "While"
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    name: "frameName"
    argType: STRING
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  argDescriptor {
    name: "condition"
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  argDescriptor {
    name: "isConstant"
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  argDescriptor {
    name: "outputs"
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opList {
  name: "_geluderivative"
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    name: "input"
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    name: "dataType"
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    name: "outputs"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "input"
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    name: "inPlace"
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    name: "outputs"
    argType: OUTPUT_TENSOR
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  argDescriptor {
    name: "pow"
    argType: DOUBLE
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  opDeclarationType: LEGACY_XYZ
}
opList {
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    name: "input"
    argType: INPUT_TENSOR
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    name: "dataType"
    argType: DATA_TYPE
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    name: "inPlace"
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    name: "precise"
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    argIndex: 1
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  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
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  opDeclarationType: LEGACY_XYZ
}
opList {
  name: "_sigmoidderivative"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "outputs"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "dataType"
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    name: "outputs"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    name: "outputs"
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  opDeclarationType: LEGACY_XYZ
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opList {
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    argType: INPUT_TENSOR
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  argDescriptor {
    name: "weights"
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  argDescriptor {
    name: "labels"
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    name: "dtype"
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    name: "outputs"
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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    name: "iteration"
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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opList {
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}
opList {
  name: "tensormmul"
  argDescriptor {
    name: "a"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "b"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "c"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "axe0_size"
    argType: INT64
  }
  argDescriptor {
    name: "axe1_size"
    argType: INT64
    argIndex: 1
  }
}
opList {
  name: "tensormmul_bp"
  argDescriptor {
    name: "A"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "B"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dLdC"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "dLdA"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "dLdB"
    argType: OUTPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "axe0Size"
    argType: INT64
  }
}
opList {
  name: "test_output_reshape"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: OP_IMPL
}
opList {
  name: "test_scalar"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "testcustom"
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "testop2i2o"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "y"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "xO"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "yO"
    argType: OUTPUT_TENSOR
    argIndex: 1
  }
  opDeclarationType: OP_IMPL
}
opList {
  name: "testreduction"
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: REDUCTION_OP_IMPL
}
opList {
  name: "tf_atan2"
  argDescriptor {
    name: "y"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dataType"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "inPlace"
    argType: BOOL
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: BROADCASTABLE_OP_IMPL
}
opList {
  name: "thresholdedrelu"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "inPlace"
    argType: BOOL
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "cutoff"
    argType: DOUBLE
  }
  opDeclarationType: CONFIGURABLE_OP_IMPL
}
opList {
  name: "thresholdedrelu_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dLdO"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dLdI"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "cutoff"
    argType: DOUBLE
  }
  opDeclarationType: CONFIGURABLE_OP_IMPL
}
opList {
  name: "tile"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "reps_vector"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "is_static_reps"
    argType: BOOL
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "dimensions"
    argType: INT64
  }
}
opList {
  name: "tile_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "gradO"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "gradI"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "repeat"
    argType: INT64
  }
}
opList {
  name: "tile_to_shape"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "tile_to_shape_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "epsNext"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "gradX"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "timesoneminus"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dataType"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "inPlace"
    argType: BOOL
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: LEGACY_XYZ
}
opList {
  name: "to_double"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_float16"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_float32"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_int32"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_int64"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_uint32"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "to_uint64"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "toggle_bits"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: OP_IMPL
}
opList {
  name: "top_k"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "needSort"
    argType: BOOL
  }
  argDescriptor {
    name: "values"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "indices"
    argType: OUTPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "k"
    argType: INT64
  }
}
opList {
  name: "trace"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "transpose"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "permuteDims"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "tri"
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "row"
    argType: INT64
  }
  argDescriptor {
    name: "column"
    argType: INT64
    argIndex: 1
  }
  argDescriptor {
    name: "diag"
    argType: INT64
    argIndex: 2
  }
}
opList {
  name: "triangular_solve"
  argDescriptor {
    name: "a"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "b"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "isLower"
    argType: BOOL
  }
  argDescriptor {
    name: "useAdjoint"
    argType: BOOL
    argIndex: 1
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
}
opList {
  name: "triu"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "diag"
    argType: INT64
  }
}
opList {
  name: "triu_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "gradO"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "gradI"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "diag"
    argType: INT64
  }
}
opList {
  name: "truncatediv"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "y"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dataType"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "inPlace"
    argType: BOOL
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: BROADCASTABLE_OP_IMPL
}
opList {
  name: "unique"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "values"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "indices"
    argType: OUTPUT_TENSOR
    argIndex: 1
  }
}
opList {
  name: "unique_with_counts"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "values"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "indices"
    argType: OUTPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "counts"
    argType: OUTPUT_TENSOR
    argIndex: 2
  }
}
opList {
  name: "unsorted_segment_max"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_max_bp"
  argDescriptor {
    name: "data"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "segmentIds"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "gradient"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_mean"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_mean_bp"
  argDescriptor {
    name: "data"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "segmentIds"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "gradient"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_min"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_min_bp"
  argDescriptor {
    name: "data"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "segmentIds"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "gradient"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_prod"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_prod_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "indices"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "eps"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_sqrt_n"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_sqrt_n_bp"
  argDescriptor {
    name: "data"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "segmentIds"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "gradient"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_sum"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "idxSegments"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "segmentedOutput"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unsorted_segment_sum_bp"
  argDescriptor {
    name: "data"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "segmentIds"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "gradient"
    argType: INPUT_TENSOR
    argIndex: 2
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "numSegments"
    argType: INT64
  }
}
opList {
  name: "unstack"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outArrs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "dimensions"
    argType: INT64
  }
  argDescriptor {
    name: "num"
    argType: INT64
    argIndex: 1
  }
}
opList {
  name: "unstack_list"
  argDescriptor {
    name: "outputList"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  opDeclarationType: LIST_OP_IMPL
}
opList {
  name: "upsampling2d"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "nchw"
    argType: BOOL
  }
  argDescriptor {
    name: "factorH"
    argType: INT64
  }
  argDescriptor {
    name: "factorW"
    argType: INT64
    argIndex: 1
  }
  argDescriptor {
    name: "isNCHW"
    argType: INT64
    argIndex: 2
  }
}
opList {
  name: "upsampling2d_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "gradO"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "gradI"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "nchw"
    argType: BOOL
  }
  argDescriptor {
    name: "scaleW"
    argType: INT64
  }
}
opList {
  name: "upsampling3d"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "outputs"
    argType: OUTPUT_TENSOR
  }
  argDescriptor {
    name: "ncdhw"
    argType: BOOL
  }
  argDescriptor {
    name: "factorD"
    argType: INT64
  }
  argDescriptor {
    name: "factorH"
    argType: INT64
    argIndex: 1
  }
  argDescriptor {
    name: "factorW"
    argType: INT64
    argIndex: 2
  }
  argDescriptor {
    name: "isNCDHW"
    argType: INT64
    argIndex: 3
  }
}
opList {
  name: "upsampling3d_bp"
  argDescriptor {
    name: "input"
    argType: INPUT_TENSOR
  }
  argDescriptor {
    name: "gradO"
    argType: INPUT_TENSOR
    argIndex: 1
  }
  argDescriptor {
    name: "dtype"
    argType: DATA_TYPE
  }
  argDescriptor {
    name: "gradI"
    argType: OUTPUT_TENSOR
  }
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