Error: The input tensor size is not equal to the model input type

[yktyagi]

I was trying to run a classification sample with openvino:

python3 classification_sample_async.py -m public/googlenet-v3/FP32/googlenet-v3.xml -i banana.jpg -d GPU

and getting this error:

super().start_async(
RuntimeError: Exception from src/inference/src/cpp/infer_request.cpp:235:
Check 'is_dynamic || port.get_shape() == tensor->get_shape()' failed at src/inference/src/dev/isync_infer_request.cpp:277:
The input tensor size is not equal to the model input type: got [1,299,3,3] expecting [1,299,3,299].

I got the model in follwoing way:

omz_downloader --name googlenet-v3

omz_converter --name googlenet-v3

I am using openvino 2024.2.0 on Ubuntu 22.04

[ilya-lavrenov]

CC @Wovchena

[Wovchena]

Yep. The sample expects the model to have NCHW layout

openvino/samples/python/classification_sample_async/classification_sample_async.py

Line 89 in 0f2b44b

# 2) Suppose model has 'NCHW' layout for input

and can't process any other layout. You can use https://github.com/openvinotoolkit/open_model_zoo/tree/master/demos/classification_demo/python. It handles NCHW and NHWC.