masahi commented on code in PR #11863:
URL: https://github.com/apache/tvm/pull/11863#discussion_r905654191
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python/tvm/relay/frontend/pytorch.py:
##########
@@ -1952,6 +1952,13 @@ def expand_as(self, inputs, input_types):
target = _op.cast(target, t0)
return _op.broadcast_to_like(inputs[0], target)
+ def broadcast_tensors(self, inputs, input_types):
+ tensor_list = inputs[0]
+ import torch
+
+ res_shape = list(torch.broadcast_shapes(*[self.infer_shape(t) for t in
tensor_list]))
+ return [_op.broadcast_to(tensor, res_shape) for tensor in tensor_list]
Review Comment:
oh interesting. Have you verified that this is what `broadcast_tensors`
does? It's interesting that we are actually invoking pytorch function for
conversion purpose.
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