t-vi commented on a change in pull request #5834: URL: https://github.com/apache/incubator-tvm/pull/5834#discussion_r442163343
########## File path: python/tvm/relay/frontend/pytorch.py ########## @@ -115,64 +115,70 @@ def inplace_add_to_add(op_name): return False + # operator implementation def _elemwise(name): def _impl(inputs, input_types): - # TODO: Figure out a better way to get typing to work for tensor + scalar - type0 = input_types[0] - if isinstance(inputs[1], _expr.Expr): - type0 = input_types[1] - - type1 = input_types[1] - if isinstance(inputs[0], _expr.Expr): - type1 = input_types[0] - - data0 = _convert_elemwise_input(inputs[0], type0) - data1 = _convert_elemwise_input(inputs[1], type1) - + data0, data1 = _pytorch_promote_types(inputs[:2], input_types[:2]) Review comment: I would have a tendency to leave it (and also not raise in the frontend but leave _op.where to complain because broadcasting is substantial to test for) and then I can do a followup PR for where broadcasting. ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org