mshr-h commented on code in PR #16131:
URL: https://github.com/apache/tvm/pull/16131#discussion_r1393915592
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python/tvm/relay/frontend/pytorch.py:
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@@ -1546,6 +1546,16 @@ def flatten(self, inputs, input_types):
out = _op.squeeze(out, axis=squeeze_axes)
return out
+ def unflatten(self, inputs, input_types):
+ data = inputs[0]
+ dim = int(inputs[1])
+ unflattened_size = tuple(inputs[2])
+ dshape = get_const_tuple(self.infer_shape_with_prelude(data))
+ assert len(dshape) > dim
+ new_shape = dshape[:dim] + unflattened_size + dshape[dim + 1 :]
Review Comment:
@vvchernov Thank you for your comment!
Multiplication of dimensions in `unflattened_size` doesn't always match
`dshape[dim]` because `unflattened_size` can contain -1.
How do we check it? Do you have any idea?
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