Exception: mvncStatus.ERROR while doing make run for GoogLenet

[idata]

Hello,

I'm getting below error while doing "make run" from GoogLenet.

making prereqs

(cd ../../data/ilsvrc12; make)make[1]: Entering directory '/home/parth/workspace/ncsdk/ncsdk/examples/data/ilsvrc12'make[1]: Leaving directory '/home/parth/workspace/ncsdk/ncsdk/examples/data/ilsvrc12'

making prototxt

Prototxt file already exists

making caffemodel

caffemodel file already exists

making compile

mvNCCompile -w bvlc_googlenet.caffemodel -s 12 deploy.prototxtmvNCCompile v02.00, Copyright @ Movidius Ltd 2016

Layer inception_3b/1x1 forced to im2col_v2, because its output is used in concat

Layer inception_3b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4b/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4c/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4c/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4d/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4d/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_4e/1x1 forced to im2col_v2, because its output is used in concatLayer inception_4e/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5a/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5a/pool_proj forced to im2col_v2, because its output is used in concatLayer inception_5b/1x1 forced to im2col_v2, because its output is used in concatLayer inception_5b/pool_proj forced to im2col_v2, because its output is used in concat/usr/local/bin/ncsdk/Controllers/FileIO.py:52: UserWarning: You are using a large type. Consider reducing your data sizes for best performance "Consider reducing your data sizes for best performance\033[0m")

making run

./run.pyDevice 0 Address: 3 - VID/PID 03e7:2150Starting wait for connect with 2000ms timeoutFound Address: 3 - VID/PID 03e7:2150Found EP 0x81 : max packet size is 512 bytesFound EP 0x01 : max packet size is 512 bytesFound and opened devicePerforming bulk write of 865724 bytes…Successfully sent 865724 bytes of data in 456.977870 ms (1.806693 MB/s)Boot successful, device address 3Device 0 Address: 2 - VID/PID 03e7:f63bFound Address: 2 - VID/PID 03e7:f63bdoneBooted 2 -> VSCTraceback (most recent call last): File "./run.py", line 66, in graph = device.AllocateGraph(blob) File "/usr/local/lib/python3.5/dist-packages/mvnc/mvncapi.py", line 203, in AllocateGraph raise Exception(Status(status))Exception: mvncStatus.ERRORMakefile:91: recipe for target 'run' failedmake: *** [run] Error 1

Now i have read https://ncsforum.movidius.com/discussion/comment/1052/#Comment_1052

but even after changing USB filterType Remote to "No" didn't help.

My Env.

Ubuntu : 16.04 LTSVirtualBox : 5.2.12

Thanks,

Pshah618

[idata]

Hi @pshah618, are you able to run the hello_ncs_py or hello_ncs_cpp examples in the ncsdk/examples/apps directory? These examples verify that the API is able to communicate with the USB devices correctly.

Assuming device communication is working, try doing make clean in the GooGleNet example directory and then make run again.

If it still does not work, please provide your host OS version and NCSDK version.

[idata]

Hi @Heather_at_Intel ,

Yes, I'm able to run hello_ncs_cpp. But still it didn't resolve the issue even after the changes you have suggested.

It got resolved when I changed the USB 2.0 [it was 3.0]. So I just stopped the VM, Went to settings and changed to USB 2.0. then rebooted the VM.

It's working fine afterwards. Do you think this change will affect the performance ?

Thanks,

Parth