taomiao opened a new issue, #16399: URL: https://github.com/apache/tvm/issues/16399
Thanks for participating in the TVM community! We use https://discuss.tvm.ai for any general usage questions and discussions. The issue tracker is used for actionable items such as feature proposals discussion, roadmaps, and bug tracking. You are always welcomed to post on the forum first :smile_cat: Issues that are inactive for a period of time may get closed. We adopt this policy so that we won't lose track of actionable issues that may fall at the bottom of the pile. Feel free to reopen a new one if you feel there is an additional problem that needs attention when an old one gets closed. ### Expected behavior work well ### Actual behavior ``` self = <tvm.relay.frontend.pytorch.PyTorchOpConverter object at 0x7f090d88aa40> op_names = {'aten::logical_or'} def report_missing_conversion(self, op_names): """Check if all ops in an input graph are supported by TVM""" known_ops = [ "prim::Constant", "prim::GetAttr", "prim::ListConstruct", "prim::ListUnpack", "prim::TupleConstruct", "prim::TupleUnpack", "prim::RaiseException", "prim::If", "prim::Loop", ] known_ops += list(self.convert_map.keys()) known_ops += list(qnn_torch.convert_map.keys()) missing = [] for op_name in op_names: # Also take care of in-place variant ops like aten::relu_ if op_name not in known_ops and not ( op_name.endswith("_") and op_name[:-1] in known_ops ): missing.append(op_name) if missing: msg = f"The following operators are not implemented: {missing}" > raise NotImplementedError(msg) E NotImplementedError: The following operators are not implemented: ['aten::logical_or'] ../../../../python/tvm/relay/frontend/pytorch.py:4330: NotImplementedError ``` ### Environment os: ubuntu python: 3.9 pytorch: 2.0 tvm: main branch ### Steps to reproduce ``` def test_logical_or(): """test_logical_or""" def test_fn(x, y): return torch.logical_or(x, y) a = torch.tensor([0, 1, 10, 0], dtype=torch.int8) b = torch.tensor([4, 0, 1, 0], dtype=torch.int8) verify_model(test_fn, [a, b]) a = torch.tensor([True, False, True]) b = torch.tensor([True, False, False]) verify_model(test_fn, [a, b]) ``` ### Triage Please refer to the list of label tags [here](https://github.com/apache/tvm/wiki/Issue-Triage-Labels) to find the relevant tags and add them below in a bullet format (example below). * needs-triage * frontend:pytorch -- 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]
