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HaozheQi / P2B

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds
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Expected isFloatingType(grads[i].type().scalarType()) #8

Closed Gao-JT closed 4 years ago

Gao-JT commented 4 years ago

Dear @HaozheQi ,

Thanks for your excellent work ! Now I am trying to reproduce the results through the code you provided, but I got this error:

Traceback (most recent call last): File "/home/gjt/.pycharm_helpers/pydev/pydevd.py", line 1668, in main() File "/home/gjt/.pycharm_helpers/pydev/pydevd.py", line 1662, in main globals = debugger.run(setup['file'], None, None, is_module) File "/home/gjt/.pycharm_helpers/pydev/pydevd.py", line 1072, in run pydev_imports.execfile(file, globals, locals) # execute the script File "/home/gjt/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "/home/gjt/P2B/train_tracking.py", line 165, in loss.backward() File "/home/gjt/anaconda3/envs/P2B/lib/python3.6/site-packages/torch/tensor.py", line 166, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/home/gjt/anaconda3/envs/P2B/lib/python3.6/site-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.)

My environment is: python 3.6.9 pytorch 1.3.1 torchvision 0.4.2 cudatoolkit 10.0.30 cudnn 7.6.5 h5py 2.10.0 numpy 1.17.4 pprint 0.1 enum34 1.1.10 future 0.18.2 pandas 0.25.3 shapely 1.7b1 matplotlib 3.1.2 pomegranate 0.13.3 ipykernel 5.1.3.0 jupyter 1.0.0 imageio 2.6.1 pyquaternion 0.9.5

Do you know what's wrong with it? Do you know what's wrong with it? Looking forward to hearing from you. Thanks for your excellent work again !

HaozheQi commented 4 years ago

Dear @Gao-JT, I'm sorry I have no idea about this problem, you can keep this issue open to see if anyone else can give a solution.

Gao-JT commented 4 years ago

Dear @HaozheQi , I have solved this problem by following such method:

https://github.com/facebookresearch/votenet/pull/72

HaozheQi commented 4 years ago

Great, and hope our work can give you some inspiration.

CodeLHY commented 3 years ago

Dear @HaozheQi , I have solved this problem by following such method:

facebookresearch/votenet#72

Hi, I have met the same problem, can you tell me how did you fixed this problem?

cuge1995 commented 3 years ago

Dear @HaozheQi , I have solved this problem by following such method: facebookresearch/votenet#72

Hi, I have met the same problem, can you tell me how did you fixed this problem?

Hello, I give you the solutions. In pointnet2_utils.py

Line 308

inds = _ext.ball_query(new_xyz, xyz, radius, nsample)
ctx.mark_non_differentiable(inds)
return inds

replace return _ext.ball_query_score(new_xyz, xyz, score, radius, nsample)

And, Line 65

fps_inds = _ext.furthest_point_sampling(xyz, npoint)
ctx.mark_non_differentiable(fps_inds)
return fps_inds

replace return _ext.furthest_point_sampling(xyz, npoint)

czy341181 commented 3 years ago

It works, thanks @cuge1995

yancie-yjr commented 2 years ago

https://github.com/HaozheQi/P2B/issues/8#issuecomment-738545699 hello, i follow your solution, and still fail

why do you use _ext.ball_query() to replace _ext.ball_query_score(), they are not the same function. can it change the final results?