onnx-mlir failed with rnn-mnist benchmark

[uditagarwal97]

Hi,

With the rnn-mnist benchmark (https://github.com/abrahamchan/LLFI-TF/blob/udit_benchmarks/sample_programs/rnn-mnist/rnn-mnist.py), onnx-mlir failed with the following error message:

$LLFI-TF/sample_programs/rnn-mnist$ onnx-mlir --EmitLLVMIR model.onnx
Loop op doesn't support dynamic dimensions for scan output.
UNREACHABLE executed at /home/uditg/UBC/onnx-mlir/src/Conversion/ONNXToKrnl/ControlFlow/Loop.cpp:254!
Aborted (core dumped)

[abrahamchan]

Hi Udit,

I believe your issue is similar to this issue reported in onnx-mlir.
As per the response in the issue, RNNs will be supported in the near future.

[uditagarwal97]

Reopening this issue as it looks like that ONNX-MLIR started supporting RNNs now (https://github.com/onnx/onnx-mlir/blob/main/test/numerical/TestRNN.cpp).
We should try using the recent version of ONNX-MLIR with LLTFI.