ramanps05 opened a new issue, #12701:
URL: https://github.com/apache/tvm/issues/12701
I am getting the following error while compiling a quantized Onnx model -
File "python/tvm/relay/frontend/onnx.py" -
in _impl_v10
```assert (a_rank == 2) and (b_rank == 2), (AssertionError: QLinearMatMul
importer currently requires both 'a' and 'b' tensors to be 2D, but ran(a)=3,
rank(b)=3```
It looks like this is occurring due to quantized matmul operation not being
supported for >2d inputs.
In the ToDo comments, it is mentioned that this limitation would be removed
in future updates.
Is there any plan to enable this feature currently ?
We need this to deploy a model, and if it's not in priority, is there a
workaround to this problem? Or something we can do to resolve it .
--
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]
