tensorflow/core/ops/compat/ops_history_v1/CudnnRNNCanonicalToParamsV2.pbtxt

op {
  name: "CudnnRNNCanonicalToParamsV2"
  input_arg {
    name: "num_layers"
    type: DT_INT32
  }
  input_arg {
    name: "num_units"
    type: DT_INT32
  }
  input_arg {
    name: "input_size"
    type: DT_INT32
  }
  input_arg {
    name: "weights"
    type_attr: "T"
    number_attr: "num_params_weights"
  }
  input_arg {
    name: "biases"
    type_attr: "T"
    number_attr: "num_params_biases"
  }
  output_arg {
    name: "params"
    type_attr: "T"
  }
  attr {
    name: "T"
    type: "type"
    allowed_values {
      list {
        type: DT_HALF
        type: DT_FLOAT
        type: DT_DOUBLE
      }
    }
  }
  attr {
    name: "num_params_weights"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "num_params_biases"
    type: "int"
    has_minimum: true
    minimum: 1
  }
  attr {
    name: "rnn_mode"
    type: "string"
    default_value {
      s: "lstm"
    }
    allowed_values {
      list {
        s: "rnn_relu"
        s: "rnn_tanh"
        s: "lstm"
        s: "gru"
      }
    }
  }
  attr {
    name: "input_mode"
    type: "string"
    default_value {
      s: "linear_input"
    }
    allowed_values {
      list {
        s: "linear_input"
        s: "skip_input"
        s: "auto_select"
      }
    }
  }
  attr {
    name: "direction"
    type: "string"
    default_value {
      s: "unidirectional"
    }
    allowed_values {
      list {
        s: "unidirectional"
        s: "bidirectional"
      }
    }
  }
  attr {
    name: "dropout"
    type: "float"
    default_value {
      f: 0
    }
  }
  attr {
    name: "seed"
    type: "int"
    default_value {
      i: 0
    }
  }
  attr {
    name: "seed2"
    type: "int"
    default_value {
      i: 0
    }
  }
  attr {
    name: "num_proj"
    type: "int"
    default_value {
      i: 0
    }
  }
}