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Summing LazyTensors after reshape
See original GitHub issueLets say I have a LazyTensor v of shape n x m where m is a multiple of p. I want to compute v.reshape((n, m//p, p)).sum(-1), only that LazyTensor does not support reshape. Is there another way to achieve what I want?
This is for reimplementing some of the code for Kernel Conditional density operators.
Issue Analytics
- State:
- Created 4 years ago
- Comments:5 (3 by maintainers)
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I’ll try to get around to this later this week or early next week.
I was trying to figure out the code, but I must admit I’m a bit lost and unsure about implicit assumptions it makes. If you could take a stab, I would greatly appreciate it!