ModuleNotFoundError: No module named 'core'

[annyhou]

Hi, I want to get Pytorch2caffe by MMdnn. so I try to save the model with archietecture not only weights, but when I load it, I got the below error: import torch path = "../../cornernet_lite-model.pth" model = torch.load(path) Traceback (most recent call last): File "", line 1, in File "~/install/python@3.7/lib/python3.7/site-packages/torch/serialization.py", line 367, in load return _load(f, map_location, pickle_module) File "~/install/python@3.7/lib/python3.7/site-packages/torch/serialization.py", line 538, in _load result = unpickler.load() ModuleNotFoundError: No module named 'core'

Thanks.

[annyhou]

I change another method to convert Pytorch2Caffe by onnx. But when I run torch.onnx.export(model, args, f [, ...]), I got the below error: RuntimeError: ONNX export failed: Couldn't export Python operator TopPoolFunction. it's because of compelling whit c++?

[annyhou]

https://github.com/xxradon/PytorchToCaffe code: import sys sys.path.append("~/CornerNet-Lite/PytorchToCaffe/") import pytorch_to_caffe import torch from types import MethodType

from core.models.CornerNet_Saccade import model from core.nnet.py_factory import DummyModule

def load_model(model, pretrained_model): print("loading from {}".format(pretrained_model)) with open(pretrained_model, "rb") as f: params = torch.load(f) model.load_state_dict(params) return model

def forward(self, *xs, *kwargs): return self.module(xs, **kwargs)

net = DummyModule(model()) net.forward = MethodType(forward, net) load_model(net, './cache/nnet/CornerNet_Saccade/CornerNet_Saccade_500000.pkl')

name = 'CornerNet_Lite' net.eval()

input = torch.zeros([1, 3, 383, 383]) pytorch_to_caffe.trans_net(net, input, name) pytorch_to_caffe.save_prototxt('./cache/nnet/CornerNet_Saccade/{}.prototxt'.format(name)) pytorch_to_caffe.save_caffemodel('./cache/nnet/CornerNet_Saccade/{}.caffemodel'.format(name)) Q:WARNING: CANNOT FOUND blob 140500196353368 Maybe, I should define the layers core-pooling?

[Zhuquantao]

Hi, how did you solve this problem? I met the same question.