tntorch
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rballester
Tensor Network Learning with PyTorch
Results are all nan for some Voxels. Could you solve the problem? ALS -- initialization time = 0.7430188655853271 iter: 0 | eps: nan | total time: 0.7723 iter: 1 |...
tntorch.metrics.dot() is not perform the same calculation as the API documents described Example: suppose t1 has shape 3 x 4 and t2 has shape 3 x 4 x 5 x...
If iterable "ts" consists of tntorch.tensors with core on cuda, the algo "cat" will fall with error due to creating and using "torch.zeros" on cpu by default. https://tntorch.readthedocs.io/en/latest/_modules/tools.html#cat
Hi, Thank you for your work. I have time series data of different features. This sobel analysis sounds interesting and better than the partial derivation or morris index. I'm wondering...
Hi All, When I'm trying to do this simple element wise multiplication: """ A = tn.ones(10,10).to(torch.long) B = tn.rand(10,10).to(torch.long) result = tn.mul(A,B) """ I get an error saying that tensors...
The code runs well in Linux, but with errors in windows. Here is the code and error message: `t = tn.rand((3,3,3,3,3,3)) print(t) t = tn.cross(function=lambda x: x**2, tensors=[t]) print(t)` Traceback...
The output of truncated_svd should ideally reside in the same device as M. However, in certain cases where the tensor is low rank, the output has been observed to be...
The straight forward TT-decomposition of a full tensor does not work properly for me. Minimal example: ``` import tntorch as tn import torch import numpy as np X, Y, Z...
