[Bug]: Dimension of data input shape along 'axis': 7 must be evenly divisible by 'num_splits' attribute value: 4

OpenVINO Version

openvino-nightly 2023.2.0.dev20231101

Operating System

Ubuntu 18.04 (LTS)

Device used for inference

CPU

Framework

ONNX

Model used

https://github.com/jikechao/onnx_models/blob/main/Split.onnx

Issue description

For the special case, ONNXRuntime can support it and give correct calculation results. However, the conversion from ONNX to OV IR crashed. This is caused by incorrect constraint checking, like Dimension of data input shape along 'axis': 7 must be evenly divisible by 'num_splits' attribute value: 4

Step-by-step reproduction

download the given model and convert it to OV IR.

import openvino as ov

onnx_model_path = 'Split.onnx'
ov_model = ov.convert_model(onnx_model_path)

Relevant log output

Traceback (most recent call last):
  File "test.py", line 4, in <module>
    ov_model = ov.convert_model(onnx_model_path)
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\convert.py", line 101, in convert_model
    ov_model, _ = _convert(cli_parser, params, True)
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\convert_impl.py", line 524, in _convert
    raise e
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\convert_impl.py", line 476, in _convert
    ov_model = driver(argv, {"conversion_parameters": non_default_params})
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\convert_impl.py", line 226, in driver
    ov_model = moc_emit_ir(prepare_ir(argv), argv)
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\convert_impl.py", line 172, in prepare_ir
    ov_model = moc_pipeline(argv, moc_front_end)
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\tools\ovc\moc_frontend\pipeline.py", line 247, in moc_pipeline
    ov_model = moc_front_end.convert(input_model)
  File "C:\software\conda\envs\torch\lib\site-packages\openvino\frontend\frontend.py", line 18, in convert
    converted_model = super().convert(model)
RuntimeError: Check 'error_message.empty()' failed at src\frontends\onnx\frontend\src\frontend.cpp:124:
Errors during ONNX translation: 
While validating ONNX node '<Node(Split): output_1, output_2, output_3, output_4>':
Check 'dimension_at_axis % num_splits == 0' failed at src\core\shape_inference\include\split_shape_inference.hpp:62:
While validating node 'opset1::Split Split_3 (input[0]:f32[7], Constant_2[0]:i64[]) -> (dynamic[...])' with friendly_name 'Split_3':
Dimension of data input shape along 'axis': 7 must be evenly divisible by 'num_splits' attribute value: 4

Issue submission checklist

• I'm reporting an issue. It's not a question.
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