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Description
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 6. Then, tn.dot(t1, t2) will have shape 5 x 6.
It wasn't going do this contraction, instead the function ouputs a Runtime Error
a=torch.randn(3,4)
b=torch.randn(3,4,5,6)
tn.metrics.dot(a,b)
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda\envs\TT-PINN\Lib\site-packages\tntorch\metrics.py", line 67, in dot
return t1.flatten().dot(t2.flatten())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: inconsistent tensor size, expected tensor [12] and src [360] to have the same number of elements, but got 12 and 360 elements respectively
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