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Bralic__Ivan
Beginner
280 Views

RuntimeError: Failed to allocate graph: NC_ERROR when loading model to MYRIAD

I implemented Fast-SCNN real-time segmentation network in TensorFlow 1.14 using Keras. I successfully turned frozen graph to intermediate representation, xml and bin files were generated. I was using the latest Model Optimizer version. When i tried to load the model to MYRIAD device, I got the following error

[ INFO ] Creating Inference Engine
[ INFO ] Loading network files:
	/home/ivan/models/fast_scnn_model.xml
	/home/ivan/models/fast_scnn_model.bin
[ INFO ] Preparing input blobs
[ INFO ] Loading model to the plugin
E: [global] [     37406] [python3] XLinkReadData:165	addEventWithPerf(&event, &opTime) failed with error: 3
E: [ncAPI] [     37406] [python3] ncGraphAllocate:2053	Can't read input tensor descriptors of the graph, rc: X_LINK_COMMUNICATION_FAIL
Traceback (most recent call last):
  File "video_seg.py", line 141, in <module>
    sys.exit(main() or 0)
  File "video_seg.py", line 94, in main
    exec_net = ie.load_network(network=net, device_name=args.device)
  File "ie_api.pyx", line 134, in openvino.inference_engine.ie_api.IECore.load_network
  File "ie_api.pyx", line 141, in openvino.inference_engine.ie_api.IECore.load_network
RuntimeError: Failed to allocate graph: NC_ERROR
E: [global] [     37480] [Scheduler00Thr] dispatcherEventSend:53	Write failed (header) (err -4) | event XLINK_CLOSE_STREAM_REQ

E: [xLink] [     37480] [Scheduler00Thr] sendEvents:1036	Event sending failed
E: [global] [     37480] [Scheduler00Thr] dispatcherEventSend:53	Write failed (header) (err -4) | event XLINK_RESET_REQ

E: [xLink] [     37480] [Scheduler00Thr] sendEvents:1036	Event sending failed
E: [ncAPI] [     47480] [python3] ncDeviceClose:1838	Device didn't appear after reboot

I'm not sure where the problem is. One thing that I'm suspecting is that the network is using depthwise convolution layers. I haven't found information here whether or not the operation is supported on MYRIAD. I have found here that the optimizer is supporting that operation in TensorFlow. I would appreciate your advice.

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Bralic__Ivan
Beginner
280 Views

The problem was that the input size was too large (1024 x 2048 x 3) so I guess the stick doesn't allow such big input sizes, I lowered it to (512 x 1024 x 3) and the net was successfully loaded to the stick.

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