path: "tensorflow.nn.rnn_cell.BasicLSTMCell"
tf_class {
  is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.BasicLSTMCell\'>"
  is_instance: "<class \'tensorflow.python.ops.rnn_cell_impl.RNNCell\'>"
  is_instance: "<class \'tensorflow.python.layers.base.Layer\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "graph"
    mtype: "<type \'property\'>"
  }
  member {
    name: "losses"
    mtype: "<type \'property\'>"
  }
  member {
    name: "non_trainable_variables"
    mtype: "<type \'property\'>"
  }
  member {
    name: "non_trainable_weights"
    mtype: "<type \'property\'>"
  }
  member {
    name: "output_size"
    mtype: "<type \'property\'>"
  }
  member {
    name: "scope_name"
    mtype: "<type \'property\'>"
  }
  member {
    name: "state_size"
    mtype: "<type \'property\'>"
  }
  member {
    name: "trainable_variables"
    mtype: "<type \'property\'>"
  }
  member {
    name: "trainable_weights"
    mtype: "<type \'property\'>"
  }
  member {
    name: "updates"
    mtype: "<type \'property\'>"
  }
  member {
    name: "variables"
    mtype: "<type \'property\'>"
  }
  member {
    name: "weights"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'num_units\', \'forget_bias\', \'state_is_tuple\', \'activation\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1.0\', \'True\', \'None\', \'None\'], "
  }
  member_method {
    name: "add_loss"
    argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add_update"
    argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "add_variable"
    argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\'], "
  }
  member_method {
    name: "apply"
    argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "build"
    argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "call"
    argspec: "args=[\'self\', \'inputs\', \'state\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_losses_for"
    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "get_updates_for"
    argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "zero_state"
    argspec: "args=[\'self\', \'batch_size\', \'dtype\'], varargs=None, keywords=None, defaults=None"
  }
}