sxjscience opened a new issue #7186: URL: https://github.com/apache/tvm/issues/7186
# Feature Request Recently, TVM has supported the incoming MXNet 2.0 frontend via a series of PRs: https://github.com/apache/incubator-tvm/pull/6054, https://github.com/apache/incubator-tvm/pull/6699. This enables the new GluonNLP 1.0, which has been upgraded from MXNet 1.x to MXNet 2.0 to convert to TVM graph (as added in https://github.com/dmlc/gluon-nlp/pull/1390). However, not all operators in MXNet support conversion to TVM. The following is the list of operators that need to be supported. - [ ] _npi_subtract_scalar [BART model](https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/models/bart.py) - [ ] _npi_stack, [BART model](https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/models/bart.py) - [ ] _npi_advanced_indexing_multiple, [BART model](https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/models/bart.py). This is triggered when we call `a[idx1, idx2]`. Also see the [MXNet-side implementation](https://github.com/apache/incubator-mxnet/blob/6bbd53107aa16fc41e8d462cf5dc46fb70d592df/src/operator/numpy/np_indexing_op.cc#L479-L491). ---------------------------------------------------------------- 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
