optimizing whisper without audio_decoder

[Aiurus]

Describe the bug
I tried to optimize whisper-tiny.en model without audio_decoder, but error occurred.

To Reproduce

1. python3 prepare_whisper_configs.py --model_name openai/whisper-tiny.en --no_audio_decoder
2. olive run --config whisper_cpu_int8.json --setup
3. olive run --config whisper_cpu_int8.json 2> /dev/null
   After running 3rd command, the model should be generated in 'model' folder but error occured.

Expected behavior
When I tried with audio_decoder, the code works well.

Olive logs
[olive_evaluator.py:236:generate_metric_user_config_with_model_io] Model input shapes are not static. Cannot use inferred input shapes for creating dummy data. This will cause an error when creating dummy data for tuning.

Other information

• OS: Debian

[jambayk]

Can you try again by removing the "evaluator": "common_evaluator" from the template. There might be an issue with the evaluator but it is not required.

If it still fails, please share the full log from the run.

[jambayk]

We don't provide an option to remove this mode. It was added by onnxruntime-extensions in this PR microsoft/onnxruntime-extensions#681

please install the previous version of onnxruntime-extensions 0.10.1 and rerun the workflow. you can add "clean_run_cache" : true at the same level as

Olive/examples/whisper/whisper_template.json

Line 105 in 80e1fa9

"type": "AppendPrePostProcessingOps",

to only rerun this pass.