Resize op can't work well under Cubic mode with ORT 1.12.

[fatcat-z]

Describe the bug
Inferencing the attached ONNX file will throw an error:

RUNTIME_EXCEPTION : Non-zero status code returned while running Resize node. Name:'Resize__14' Status Message: /onnxruntime_src/onnxruntime/core/providers/cpu/tensor/upsamplebase.h:311 void onnxruntime::UpsampleBase::ScalesValidation(const std::vector&, onnxruntime::UpsampleMode) const scales.size() == 2 || (scales.size() == 4 && scales[0] == 1 && scales[1] == 1) was false. 'Cubic' mode only support 2-D inputs ('Bicubic') or 4-D inputs with the corresponding outermost 2 scale values being 1 in the Resize operator

This error only happens with ORT 1.12. There is no issue with ORT 1.11.

Urgency
Normal.

System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 20.04.4 LTS
• ONNX Runtime installed from (source or binary): pip install onnxruntime
• ONNX Runtime version: 1.12
• Python version: python 3.8.5

To Reproduce
The attached zip file contains an ONNX file which was generated by one tf2onnx test. It could not be inferenced successfully by ORT 1.12 while it works with ORT 1.11.

Expected behavior
It should be inferenced successfully, just like previous ORT version.
test_resize_bicubic.zip

[hariharans29]

Hi @yihonglyu: Could this regression be due to the NHWC Resize optimization changes ?

[fatcat-z]

Hi @yihonglyu @hariharans29 , any updates?

[microsoft-github-policy-service]

Applying stale label due to no activity in 30 days