When I use my dataset to train hgcn and hnn models, the curvature is 'nan' and raise error.

[Abigale001]

/opt/conda/conda-bld/pytorch_1544174967633/work/aten/src/THCUNN/BCECriterion.cu:42: Acctype bce_functor<Dtype, Acctype>::operator()(Tuple) [with Tuple = thrust::detail::tuple_of_iterator_references<thrust::device_reference, thrust::device_reference, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type>, Dtype = float, Acctype = float]: block: [11,0,0], thread: [209,0,0] Assertion input >= 0. && input <= 1. failed.
/opt/conda/conda-bld/pytorch_1544174967633/work/aten/src/THCUNN/BCECriterion.cu:42: Acctype bce_functor<Dtype, Acctype>::operator()(Tuple) [with Tuple = thrust::detail::tuple_of_iterator_references<thrust::device_reference, thrust::device_reference, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type>, Dtype = float, Acctype = float]: block: [11,0,0], thread: [210,0,0] Assertion input >= 0. && input <= 1. failed.
/opt/conda/conda-bld/pytorch_1544174967633/work/aten/src/THCUNN/BCECriterion.cu:42: Acctype bce_functor<Dtype, Acctype>::operator()(Tuple) [with Tuple = thrust::detail::tuple_of_iterator_references<thrust::device_reference, thrust::device_reference, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type>, Dtype = float, Acctype = float]: block: [11,0,0], thread: [211,0,0] Assertion input >= 0. && input <= 1. failed.
/opt/conda/conda-bld/pytorch_1544174967633/work/aten/src/THCUNN/BCECriterion.cu:42: Acctype bce_functor<Dtype, Acctype>::operator()(Tuple) [with Tuple = thrust::detail::tuple_of_iterator_references<thrust::device_reference, thrust::device_reference, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type, thrust::null_type>, Dtype = float, Acctype = float]: block: [11,0,0], thread: [212,0,0] Assertion input >= 0. && input <= 1. failed.

torch.Size([80362])
THCudaCheck FAIL file=/opt/conda/conda-bld/pytorch_1544174967633/work/aten/src/THC/THCCachingHostAllocator.cpp line=265 error=59 : device-side assert triggered
Traceback (most recent call last):
File "/data1/home/ideatmp/sigir21/hgcn/models/base_models.py", line 124, in compute_metrics
loss = F.binary_cross_entropy(pos_scores, torch.ones_like(pos_scores))
File "/data1/home/ideatmp/miniconda3/envs/HGN/lib/python3.6/site-packages/torch/nn/functional.py", line 2027, in > > binary_cross_entropy
input, target, weight, reduction_enum)
RuntimeError: reduce failed to synchronize: device-side assert triggered

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/data1/home/ideatmp/.pycharm_helpers/pydev/pydevd.py", line 1668, in
main()
File "/data1/home/ideatmp/.pycharm_helpers/pydev/pydevd.py", line 1662, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "/data1/home/ideatmp/.pycharm_helpers/pydev/pydevd.py", line 1072, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "/data1/home/ideatmp/.pycharm_helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/data1/home/ideatmp/sigir21/hgcn/train.py", line 213, in
train(args, feature)
File "/data1/home/ideatmp/sigir21/hgcn/train.py", line 129, in train
train_metrics = model.compute_metrics(embeddings, data, 'train')
File "/data1/home/ideatmp/sigir21/hgcn/models/base_models.py", line 127, in compute_metrics
print(pos_scores)
File "/data1/home/ideatmp/miniconda3/envs/HGN/lib/python3.6/site-packages/torch/tensor.py", line 66, in repr
return torch._tensor_str._str(self)
File "/data1/home/ideatmp/miniconda3/envs/HGN/lib/python3.6/site-packages/torch/_tensor_str.py", line 277, in _str
tensor_str = _tensor_str(self, indent)
File "/data1/home/ideatmp/miniconda3/envs/HGN/lib/python3.6/site-packages/torch/_tensor_str.py", line 195, in _tensor_str
formatter = _Formatter(get_summarized_data(self) if summarize else self)
File "/data1/home/ideatmp/miniconda3/envs/HGN/lib/python3.6/site-packages/torch/_tensor_str.py", line 221, in > get_summarized_data
return torch.cat((self[:PRINT_OPTS.edgeitems], self[-PRINT_OPTS.edgeitems:]))
RuntimeError: cuda runtime error (59) : device-side assert triggered at /opt/conda/conda-> > bld/pytorch_1544174967633/work/aten/src/THC/THCCachingHostAllocator.cpp:265

I debug the error, it shows when training, the curvature is nan. How to solve this problem?

[gshahaaa]

when I use my dataset. the same question occure. And I find the value of the curvature here is a negtive number, which result in this nan.

hgcn/manifolds/poincare.py

Line 74 in a526385

sqrt_c = c ** 0.5

And how to solve this problem?