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Support for openVINO 2020 is missing

See original GitHub issue

I converted my yolov3 pb model with openVINO (2020). After a successfull conversion I tried to upload the model and received the following error: Checking request has returned the "failed" status. Message: Exception: Model was not properly created/updated. Test failed: Cannot load library '/opt/intel/openvino_2020.1.023/deployment_tools/inference_engine/lib/intel64/libcpu_extension_avx2.so': /opt/intel/openvino_2020.1.023/deployment_tools/inference_engine/lib/intel64/libcpu_extension_avx2.so: cannot open shared object file: No such file or directory

I also tried a conversion with openVINO (2019 R4) which already failed in the conversion process with the following error: Model Optimizer version: 2019.3.0-375-g332562022 [ ERROR ] List of operations that cannot be converted to Inference Engine IR: [ ERROR ] FusedBatchNormV3 (72) [ ERROR ] detector/darknet-53/Conv/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_1/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_2/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_3/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_4/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_5/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_6/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_7/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_8/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_9/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_10/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_11/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_12/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_13/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_14/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_15/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_16/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_17/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_18/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_19/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_20/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_21/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_22/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_23/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_24/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_25/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_26/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_27/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_28/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_29/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_30/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_31/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_32/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_33/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_34/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_35/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_36/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_37/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_38/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_39/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_40/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_41/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_42/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_43/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_44/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_45/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_46/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_47/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_48/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_49/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_50/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/darknet-53/Conv_51/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_1/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_2/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_3/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_4/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_7/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_8/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_9/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_10/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_11/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_12/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_13/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_15/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_16/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_17/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_18/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_19/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_20/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_21/BatchNorm/FusedBatchNormV3 [ ERROR ] detector/yolo-v3/Conv_5/BatchNorm/FusedBatchNormV3 [ ERROR ] Part of the nodes was not converted to IR. Stopped.

So I can’t see any possibility to import yolov3 model at the moment.

Issue Analytics

State:
Created 4 years ago
Reactions:2
Comments:9 (6 by maintainers)

Top GitHub Comments

5reactions

alalekcommented, Feb 27, 2020

use libinference_engine.so instead of libcpu_extension_avx2

This is wrong. You should do nothing in this case instead (OpenVINO 2020.1). cpu_extension content has been merged into MKLDNN plugin and it is used automatically.

2reactions

rvoriascommented, Feb 27, 2020

@benhoff I tried to implement your suggestion, it’s not working. Checking request has returned the "failed" status. Message: Exception: Model was not properly created/updated. Test failed: dlSym cannot locate method 'CreateExtension': /opt/intel/openvino_2020.1.023/deployment_tools/inference_engine/lib/intel64/libinference_engine.so: undefined symbol: CreateExtension Currently trying to roll back to 2019R3

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