PatrikPerssonInceptron opened a new pull request, #17504: URL: https://github.com/apache/tvm/pull/17504
# Expand Updated Expand converter in onnx frontend to to handle dynamic shape expressions by matching data and target_shape dimension lengths and converting any target shape elements assigned to -1 to the data shape dimension. Added regression test to onnx frontend testing Expand with a dynamic shape # Additional small fixes I replaced int(k.data.numpy()[0]) with int(k.data.numpy().item()) in Trilu since sometimes the data shape is a zero dimensional scalar I added a function converting from PrimExpr to PrimValue before sending in starts, ends, steps to relax.op.strided_slice since it does not accept PrimeExpr as inputs. -- 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]
