Targetnet of layer on top of LSTMCell results in deepcopy error about agentnet HOT 3 CLOSED

from agentnet.memory import LSTMCell
from agentnet.target_network import TargetNetwork
from lasagne.layers import InputLayer

prev_cell, prev_out = InputLayer((None, 512)), InputLayer((None, 512))
_, new_out = LSTMCell(prev_cell, prev_out, name='lstm')
targetnet = TargetNetwork(new_out)

from agentnet.memory import LSTMCell
from lasagne.layers import InputLayer
from copy import deepcopy

prev_cell, prev_out = InputLayer((None, 512)), InputLayer((None, 512))
_, new_out = LSTMCell(prev_cell, prev_out, name='lstm')

memo = {}
memo[id(prev_cell)] = prev_cell
memo[id(prev_out)] = prev_out
deepcopy(new_out, memo=memo)

from agentnet.memory import LSTMCell, GateLayer
from agentnet.utils.format import check_list
from lasagne.layers import InputLayer
import lasagne
from copy import deepcopy

prev_cell, prev_out = InputLayer((None, 512)), InputLayer((None, 512))
_, new_out = LSTMCell(prev_cell, prev_out, name='lstm')


gates = GateLayer([prev_out] + check_list(tuple()),
                      [prev_cell.output_shape[1]] * 4,
                      channel_names=["to_ingate", "to_forgetgate", "to_cell", "to_outgate"],
                      gate_nonlinearities=None,
                      bias_init=lasagne.init.Constant(),
                      weight_init=lasagne.init.Normal(),
                      name='')

deepcopy(gates)