vvchernov commented on code in PR #16131:
URL: https://github.com/apache/tvm/pull/16131#discussion_r1395906521
##########
python/tvm/relay/frontend/pytorch.py:
##########
@@ -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:
Hello @mshr-h! There are two cases: unflattened_size has -1 and does not
have. You check only the first one. Example: dshape[dim] = 8, unflattened_size
= [2, 2, 1, 1] pass your assert, but it is failure case
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
