Open jikechao opened 8 months ago
Is this issue resolved? I am getting the same issue
@heebahsaleem This problem still exists and has not been resolved yet. @avitial @ilya-lavrenov could you help us investigate this issue?
@gkrivor a kind reminder to take a look into this issue. Thanks!
@jikechao @heebahsaleem issue can be workaround-ed if you use compile_model call directly without converting the model to IR. Seems like an issue in the transformation pipeline so I summon @itikhono to assign someone to take a look
>>> m = c.read_model("pads.onnx")
>>> m
<Model: 'Pad'
inputs[
<ConstOutput: names[x] shape[1,3,4,5] type: f32>,
<ConstOutput: names[pads] shape[8] type: i64>
]
outputs[
<ConstOutput: names[y] shape[?,?,?,?] type: f32>
]>
>>> c.compile_model(m)
<CompiledModel:
inputs[
<ConstOutput: names[x] shape[1,3,4,5] type: f32>,
<ConstOutput: names[pads] shape[8] type: i64>
]
outputs[
<ConstOutput: names[y] shape[?,?,?,?] type: f32>
]>
hello, Is it possible being assigned to this issue?
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/Pads.onnx
Issue description
The conversion of the![image](https://github.com/openvinotoolkit/openvino/assets/29506758/25bbb2b3-788c-4616-b10b-08baba814823)
Pads
operator from ONNX failed unexpectedly and threw "Cannot get length of dynamic dimension". The model structure is shown below:Step-by-step reproduction
Relevant log output
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