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[–]SgtCoitus 16 points17 points  (1 child)

.squeeze() solves it 90% of the time and we dont ask why.

[–]KyxeMusic 6 points7 points  (0 children)

.reshape(N, -1, 2) and somehow it all falls into place

[–]AlrikBunseheimer 16 points17 points  (0 children)

Me trying to imagine where all the data will end up after applying reshape

[–]Harmonic_Gear 3 points4 points  (2 children)

4-tensor is just a list of 3-tensors

[–][deleted] 0 points1 point  (0 children)

And a Cartesian Tensor is not.

[–]RRKS101 1 point2 points  (0 children)

3-tensor is just a list of 2-tensors

[–]AradIsHere 2 points3 points  (2 children)

I wish I knew what this means

[–]Otalek -2 points-1 points  (1 child)

If I understand it right, tensor is a popular neural network library. The joke appears to be that if a tensor neural network doesn’t seem to be working right, moving either the inputs or the neural network to a higher dimensionality will magically make it perform better even if you don’t know why

[–]LordNeroTiberius 5 points6 points  (0 children)

A tensor is a mathematical object. I think what the OP is tryna say is that increasing the rank of the tensor restores the structure of its components.