Transpile-AI
Complex
Adding PyTorch Creation Ops "torch.complex" to Ivy.
This is a partial solution that needs further testing.
Close #16974
Hi, I already have the link to my issue, I used this format:
Close #Issue_number And in my PR's description, it says:
Close #16974
https://github.com/unifyai/ivy/issues/16974
Which links to this issue:
https://github.com/unifyai/ivy/issues/16974
If I linked it incorrectly, could I get more clarification on how to correct it?
Thanks,
Kenani
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This PR has been labelled as stale because it has been inactive for more than 7 days. If you would like to continue working on this PR, then please add another comment or this PR will be closed in 7 days.
This fails all the test since ivy.complex does not have backend implementations. Another way to implement this frontend function is by composing existing ivy functions so that we won't need backend implementations.
I would suggest creating a complex tensor ret of the same shape as a and b. Then assign real values of ret to a and imaginary values into b
Example:
assert a.shape == b.shape, 'a and b must have the same shapes`
ret = ivy.zeros(shape=a.shape, dtype=ivy.complex64)
set real values of ret to a, imaginary values to b
return ret
This PR has been closed because it has been marked as stale for more than 7 days with no activity.