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      1 path: "tensorflow.nn.rnn_cell.MultiRNNCell"
      2 tf_class {
      3   is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.MultiRNNCell\'>"
      4   is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
      5   is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
      6   is_instance: "<type \'object\'>"
      7   member {
      8     name: "activity_regularizer"
      9     mtype: "<type \'property\'>"
     10   }
     11   member {
     12     name: "dtype"
     13     mtype: "<type \'property\'>"
     14   }
     15   member {
     16     name: "graph"
     17     mtype: "<type \'property\'>"
     18   }
     19   member {
     20     name: "inbound_nodes"
     21     mtype: "<type \'property\'>"
     22   }
     23   member {
     24     name: "input"
     25     mtype: "<type \'property\'>"
     26   }
     27   member {
     28     name: "input_shape"
     29     mtype: "<type \'property\'>"
     30   }
     31   member {
     32     name: "losses"
     33     mtype: "<type \'property\'>"
     34   }
     35   member {
     36     name: "name"
     37     mtype: "<type \'property\'>"
     38   }
     39   member {
     40     name: "non_trainable_variables"
     41     mtype: "<type \'property\'>"
     42   }
     43   member {
     44     name: "non_trainable_weights"
     45     mtype: "<type \'property\'>"
     46   }
     47   member {
     48     name: "outbound_nodes"
     49     mtype: "<type \'property\'>"
     50   }
     51   member {
     52     name: "output"
     53     mtype: "<type \'property\'>"
     54   }
     55   member {
     56     name: "output_shape"
     57     mtype: "<type \'property\'>"
     58   }
     59   member {
     60     name: "output_size"
     61     mtype: "<type \'property\'>"
     62   }
     63   member {
     64     name: "scope_name"
     65     mtype: "<type \'property\'>"
     66   }
     67   member {
     68     name: "state_size"
     69     mtype: "<type \'property\'>"
     70   }
     71   member {
     72     name: "trainable_variables"
     73     mtype: "<type \'property\'>"
     74   }
     75   member {
     76     name: "trainable_weights"
     77     mtype: "<type \'property\'>"
     78   }
     79   member {
     80     name: "updates"
     81     mtype: "<type \'property\'>"
     82   }
     83   member {
     84     name: "variables"
     85     mtype: "<type \'property\'>"
     86   }
     87   member {
     88     name: "weights"
     89     mtype: "<type \'property\'>"
     90   }
     91   member_method {
     92     name: "__init__"
     93     argspec: "args=[\'self\', \'cells\', \'state_is_tuple\'], varargs=None, keywords=None, defaults=[\'True\'], "
     94   }
     95   member_method {
     96     name: "add_loss"
     97     argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
     98   }
     99   member_method {
    100     name: "add_update"
    101     argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
    102   }
    103   member_method {
    104     name: "add_variable"
    105     argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\', \'partitioner\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], "
    106   }
    107   member_method {
    108     name: "apply"
    109     argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
    110   }
    111   member_method {
    112     name: "build"
    113     argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None"
    114   }
    115   member_method {
    116     name: "call"
    117     argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=None, defaults=None"
    118   }
    119   member_method {
    120     name: "compute_output_shape"
    121     argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None"
    122   }
    123   member_method {
    124     name: "count_params"
    125     argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
    126   }
    127   member_method {
    128     name: "get_input_at"
    129     argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    130   }
    131   member_method {
    132     name: "get_input_shape_at"
    133     argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    134   }
    135   member_method {
    136     name: "get_losses_for"
    137     argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
    138   }
    139   member_method {
    140     name: "get_output_at"
    141     argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    142   }
    143   member_method {
    144     name: "get_output_shape_at"
    145     argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None"
    146   }
    147   member_method {
    148     name: "get_updates_for"
    149     argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
    150   }
    151   member_method {
    152     name: "zero_state"
    153     argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
    154   }
    155 }
    156