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License: MIT License
ECG: Edge-aware Point Cloud Completion with Graph Convolution
License: MIT License
Hi, thank you for your wonderful work.
BTW, can you provide the weight of the model?
I want to apply it to other tasks.
Thanks.
Traceback (most recent call last):
File "/mnt/txf/codes/ECGNet/main.py", line 35, in
models_dictargs.model_name
File "/mnt/txf/codes/ECGNet/train/ecg_train.py", line 60, in train
loss_net.backward()
File "/usr/local/lib/python3.6/dist-packages/torch/tensor.py", line 166, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/usr/local/lib/python3.6/dist-packages/torch/autograd/init.py", line 99, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: Expected isFloatingType(grads[i].type().scalarType()) to be true, but got false. (Could this error message be improved? If so, please report an enhancement request to PyTorch.)
I have tried to solve this problem, but I still haven't solved it. Please help me to solve it, I will be very grateful to you.
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