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Codecov Report
@@ Coverage Diff @@
## main #522 +/- ##
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+ Coverage 73.75% 73.82% +0.07%
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Files 109 109
Lines 10882 10917 +35
Branches 1131 1135 +4
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+ Hits 8026 8060 +34
+ Misses 2551 2550 -1
- Partials 305 307 +2
... and 1 file with indirect coverage changes Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here. |
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LMK if you are able to fix the test errors? I can take a look tomorrow too |
Yes, please. It is in graph_building.py. |
| """index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor""" | ||
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| raise NotImplementedError() | ||
| index = op.SequenceAt(indices, 0) # assume indices only have 1 element |
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I am bit unclear about the assumption above. Is this just for now? Is the input type expected to be changed to INT64 ?
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Looks like indices is a list of 1d tensors, so INT64 may not do it?
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On this line, was there a reason we assume indices only has one element?
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From the test case, all the indices have only one element. If it contains multiple elements, we need to use for/while to do the logic.
But for this aten op, the multiple elements can be combined to one element, for example, indices=[[0,1], [2,3]], can be combined to indices=[[0,1,2,3],].
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Should we do a sequenceConcat or something like that?
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I tried in Torch, actually it cannot work like this:
torch.index_put( self=tensor(5x5), indices=(tensor([0]), tensor([1]),), values=tensor(2x5))
so we don't know how to use more than one element in indices tuple.
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Graph builder fixed in #528 |
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