circular dependency issue

[jamesrobertwilliams]

System Info

I have a fresh virtual env where I am trying to exec an onnx model like so:


# Load Locally Saved ONNX Model and use for inference
from transformers import AutoTokenizer
from optimum.onnxruntime import ORTModelForCustomTasks

sentence = "This is a test sentence."
local_onnx_model = ORTModelForCustomTasks.from_pretrained("./model_onnx")
tokenizer = AutoTokenizer.from_pretrained("./model_onnx")
inputs = tokenizer(
    sentence,
    padding="longest",
    return_tensors="np",
)
outputs = local_onnx_model.forward(**inputs)
print(outputs)

but I keep getting this massively annoying circular dependency error:

  File "/home/foo/miniconda3/envs/aaa/lib/python3.10/site-packages/transformers/utils/import_utils.py", line 1512, in _get_module
    raise RuntimeError(
RuntimeError: Failed to import optimum.onnxruntime.modeling_ort because of the following error (look up to see its traceback):
Failed to import optimum.onnx.graph_transformations because of the following error (look up to see its traceback):
Failed to import optimum.exporters.onnx.__main__ because of the following error (look up to see its traceback):
cannot import name 'TasksManager' from partially initialized module 'optimum.exporters' (most likely due to a circular import) (/home/foo/miniconda3/envs/aaa/lib/python3.10/site-packages/optimum/exporters/__init__.py)

It is literally a fresh environment and I train test with no issues.

Lost to as to why this is - also tried different machines, different ve's, also installed from source etc...

### Who can help?

_No response_

### Information

- [X] The official example scripts
- [X] My own modified scripts

### Tasks

- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)

### Reproduction (minimal, reproducible, runnable)

Just the code above.

### Expected behavior

It should run!

[IlyasMoutawwakil]

I couldn't reproduce the issue, can you please give more details about what version of optimum you're using ?