FPGA AI SUITE

[sarathfv]

openvino_env) sarath@sarath:~/coredla_work/demo/open_model_zoo$ omz_converter --name resnet-50-tf \
> --download_dir $COREDLA_WORK/demo/models/ \
> --output_dir $COREDLA_WORK/demo/models/
========== Converting resnet-50-tf to IR (FP16)
Conversion command: /usr/bin/python3 -- /home/sarath/.local/bin/mo --framework=tf --output_dir=/home/sarath/coredla_work/demo/models/public/resnet-50-tf/FP16 --model_name=resnet-50-tf --input=map/TensorArrayStack/TensorArrayGatherV3 '--mean_values=[123.68,116.78,103.94]' --output=softmax_tensor --input_model=/home/sarath/coredla_work/demo/models/public/resnet-50-tf/resnet_v1-50.pb --reverse_input_channels '--layout=map/TensorArrayStack/TensorArrayGatherV3(NHWC)' '--input_shape=[1, 224, 224, 3]' --compress_to_fp16=True

[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] load(): incompatible function arguments. The following argument types are supported:
1. (self: openvino._pyopenvino.FrontEnd, path: object) -> ov::frontend::InputModel

Invoked with: <FrontEnd 'tf'>, '/home/sarath/coredla_work/demo/models/public/resnet-50-tf/resnet_v1-50.pb', False
[ ERROR ] Traceback (most recent call last):
File "/home/sarath/.local/lib/python3.8/site-packages/openvino/tools/mo/convert_impl.py", line 896, in _convert
ov_model, legacy_path = driver(argv, {"conversion_parameters": non_default_params})
File "/home/sarath/.local/lib/python3.8/site-packages/openvino/tools/mo/convert_impl.py", line 559, in driver
graph, ngraph_function = prepare_ir(argv)
File "/home/sarath/.local/lib/python3.8/site-packages/openvino/tools/mo/convert_impl.py", line 413, in prepare_ir
ngraph_function = moc_pipeline(argv, moc_front_end)
File "/home/sarath/.local/lib/python3.8/site-packages/openvino/tools/mo/moc_frontend/pipeline.py", line 56, in moc_pipeline
input_model = moc_front_end.load(argv.input_model, share_weights)
TypeError: load(): incompatible function arguments. The following argument types are supported:
1. (self: openvino._pyopenvino.FrontEnd, path: object) -> ov::frontend::InputModel

Invoked with: <FrontEnd 'tf'>, '/home/sarath/coredla_work/demo/models/public/resnet-50-tf/resnet_v1-50.pb', False

[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------
[ INFO ] You can also try to use legacy TensorFlow Frontend by using argument --use_legacy_frontend.

FAILED:
resnet-50-tf
WARNING:root:Failed to send event with the following error: Object of type type is not JSON serializable

THIS KIND OF ERROR IS COMING WHEN WORKING ON FPGA AI SUITE

[Alberto_R_Intel]

sarathfv, Thank you for posting in the Intel® Communities Support.

I just transferred your thread to the proper department. They will further assist you with this matter as soon as possible.

Regards,

Albert R.

Intel Customer Support Technician

[Megat_Intel]

Hi Sarathfv,

Thank you for reaching out to us.

We noticed that you posted a similar question in this thread.

We will continue to support you in the previous thread as this thread is no longer being monitored, Thank you for your question.

Regards,

Megat