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Hi,
I have trained and saved my own TF2 Mask RCNN model. I am trying to optimize the saved_model.pb for faster inference. I first try to convert the model into a frozen graph as states here https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_Convert_Model_From_TensorFlow.html#freeze-the-tensorflow-model but i get this error tensorflow.python.framework.errors_impl.InternalError: Tensorflow type 21 not convertible to numpy dtype.
Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "StatefulPartitionedCall/map/TensorArrayV2_2" node.
What can i do?
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Hi,
Thank you for posting in Intel Forums.
This issue seems to be related to Openvino. We've a separate forum for Openvino toolkit. So we're moving this case to Openvino toolkit forum for faster response.
Link to Forum : https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/bd-p/distribution-openvino-toolkit
Regards
Raeesa
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Hi,
This is a duplicate to this thread: https://community.intel.com/t5/Intel-Distribution-of-OpenVINO/Mask-R-CNN-Inception-ResNet-V2-1024x1024-Conversion/m-p/1300473#M24625
Please focus on the thread that I had share above and I'm closing this one.
Sincerely,
Iffa

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