Unable to export diar_msdd_telephonic (neural diarizer) model to onnx format
I saw someone had the same issue with ecapa tdnn model way back and it has not been solved It might not be possible to convert MSDD straightaway to onnx, as it depends on other models. 
@tango4j can you pls provide steps to  achieve this.  Thank you for responding, it would be very helpful for me if this can be solved. 
 NeMo neural diarization class (clustering+MSDD) is not ONNX exportable. 
This is because pytorch linear algebra library is not fully ONNX exportable.
We are working on fully neural diarization and only after fully neural diarization is released, the diarization pipeline will be ONNX exportable.
 Thank you for the quick response. Is there a way to export it to any other format that can be uploaded to triton?. I am trying to run a diarization pipeline on triton and i need to upload this model. This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days. This issue was closed because it has been inactive for 7 days since being marked as stale.
**Describe the bug**

I am trying to export the diarization MSDD telephonic model to onnx format but i get the following error:

File "/home/chidalgo/.local/lib/python3.10/site-packages/nemo/core/classes/exportable.py", line 113, in export
    out, descr, out_example = model._export(
  File "/home/chidalgo/.local/lib/python3.10/site-packages/nemo/core/classes/exportable.py", line 177, in _export
    input_example = self.input_module.input_example()
  File "/home/chidalgo/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1695, in __getattr__
    raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'MyExportableModel' object has no attribute 'input_module'. Did you mean: 'output_module'?.

**Steps/Code to reproduce bug**

Here is the code i used.

import nemo
from nemo.collections.asr.models import EncDecDiarLabelModel
from nemo.core.classes import ModelPT, Exportable

class MyExportableModel(EncDecDiarLabelModel, ModelPT, Exportable):
    pass

sd_model = MyExportableModel.from_pretrained(model_name = "diar_msdd_telephonic")

sd_model.eval()
sd_model.to('cuda')
sd_model.export('sd_model.onnx') 

**Expected behavior**

To get a file named  sd_model.onnx with the model in onnx format

**Environment overview (please complete the following information)**

 - Environment location: [Bare-metal]
 - Method of NeMo install: pip install nemo_toolkit['all']

**Environment details**

If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- Ubuntu 20.04
- 2.1.2
- Python 3.10.12

**Additional context**

i also tried with the export.py script but i get the following:

File "/home/chidalgo/.local/lib/python3.10/site-packages/nemo/core/classes/common.py", line 507, in from_config_dict
    raise e
  File "/home/chidalgo/.local/lib/python3.10/site-packages/nemo/core/classes/common.py", line 499, in from_config_dict
    instance = cls(cfg=config, trainer=trainer)
TypeError: Can't instantiate abstract class ModelPT with abstract methods list_available_models, setup_training_data, setup_validation_data

thank you, i have seen other issues with the same bug but it has not been solved
