/workspace/brevitas_cnv_lfc/training_scripts/models/TFC.py:85: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect.
  x = 2.0 * x - torch.tensor([1.0]).to(self.device)
Traceback (most recent call last):
  File "exp.py", line 12, in <module>
    model = model.transform(FoldConstants())
  File "/workspace/finn/src/finn/core/modelwrapper.py", line 102, in transform
    transformed_model
  File "/workspace/finn/src/finn/transformation/fold_constants.py", line 54, in apply
    oxe.execute_node(n, execution_context, graph)
  File "/workspace/finn/src/finn/core/onnx_exec.py", line 87, in execute_node
    sess = rt.InferenceSession(node_model.SerializeToString())
  File "/opt/conda/lib/python3.6/site-packages/onnxruntime/capi/session.py", line 25, in __init__
    self._load_model(providers)
  File "/opt/conda/lib/python3.6/site-packages/onnxruntime/capi/session.py", line 43, in _load_model
    self._sess.load_model(providers)
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Failed to load model with error: Unknown model file format version.