For some Operators, there may be an empty input initializer. During the constant folding phase, it will be treated as a normal input node. This may break the constraints of some Operators, such as Resize.
The scales and sizes of the Resize node only allow one to be set, and the original version may generate such a structure,and the onnxruntime cannot use this model.
In [3]: sess = onnxruntime.InferenceSession('onnxsim_bug_fix/resize_561_old.onnx', providers=['CPUExecutionProvider'])
---------------------------------------------------------------------------
Fail Traceback (most recent call last)
Cell In[3], line 1
----> 1 onnxruntime.InferenceSession('onnxsim_bug_fix/resize_561_old.onnx', providers=['CPUExecutionProvider'])
File ~/Environments/miniconda3/envs/default/lib/python3.11/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py:383, in InferenceSession.__init__(self, path_or_bytes, sess_options, providers, provider_options, **kwargs)
380 disabled_optimizers = kwargs["disabled_optimizers"] if "disabled_optimizers" in kwargs else None
382 try:
--> 383 self._create_inference_session(providers, provider_options, disabled_optimizers)
384 except (ValueError, RuntimeError) as e:
385 if self._enable_fallback:
File ~/Environments/miniconda3/envs/default/lib/python3.11/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py:424, in InferenceSession._create_inference_session(self, providers, provider_options, disabled_optimizers)
422 session_options = self._sess_options if self._sess_options else C.get_default_session_options()
423 if self._model_path:
--> 424 sess = C.InferenceSession(session_options, self._model_path, True, self._read_config_from_model)
425 else:
426 sess = C.InferenceSession(session_options, self._model_bytes, False, self._read_config_from_model)
Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from onnxsim_bug_fix/resize_561_old.onnx failed:Node (Resize_561) Op (Resize) [ShapeInferenceError] Either `sizes` or `scales` must be provided, but not both of them
In [4]:
Special judgment on empty initializer can solve this problem.
In [7]: ses = onnxruntime.InferenceSession('onnxsim_bug_fix/resize_561_fix.onnx', providers=['CPUExecutionProvider'])
In [8]:
For some Operators, there may be an empty input initializer. During the constant folding phase, it will be treated as a normal input node. This may break the constraints of some Operators, such as Resize.
The
scalesandsizesof the Resize node only allow one to be set, and the original version may generate such a structure,and the onnxruntime cannot use this model.Special judgment on empty initializer can solve this problem.