By using the memonger, the network could not be finetuned?

[taylover-pei]

When I use the memonger, and I use the function of load_checkpoint(), but in this line
assert sys.tojson() == network.tojson()
is failed. This means that the structure of the network using the memonger is not match with the pre-trained network. So I do not know what is the reason?

[315386775]

Traceback (most recent call last):
File "train.py", line 96, in
net_mem_planned = memonger.search_plan(new_sym, data=dshape)
File "/home1/mxnet/memonger.py", line 141, in search_plan
sym = make_mirror_plan(sym, threshold=threshold, plan_info=info, **kwargs)
File "/home1/mxnet/memonger.py", line 63, in make_mirror_plan
shape_dict = list(zip(internals.list_outputs(), out_shapes))
TypeError: zip argument #2 must support iteration