Stuck during execution on Mustang-F100-A10, Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA
Hello,
we have Mustang F100-A10 and TANK-870 AIoT Dev. Kit.
We have followed the official guide for the latest openvino to setup the 2019R1 openvino and our FPGA card.
We were able to run "aocl diagnose" and we see there is the card as you can see below.
ieisw@ieisw-SER0:~$ aocl diagnose
--------------------------------------------------------------------
Device Name:
acl0
BSP Install Location:
/opt/altera/aocl-pro-rte/aclrte-linux64/board/a10_1150_sg1
Vendor: Intel(R) Corporation
Phys Dev Name Status Information
acla10_1150_sg10Passed Intel Vision Accelerator Design with Intel Arria 10 FPGA (acla10_1150_sg10)
PCIe dev_id = 2494, bus:slot.func = 01:00.00, Gen3 x8
FPGA temperature = 61.6406 degrees C.
DIAGNOSTIC_PASSED
--------------------------------------------------------------------
The
./demo_squeezenet_download_convert_run.sh -d HETERO:FPGA,CPUsucceeded as well as demo_security_barrier_camera.sh with device HETERO:FPGA,CPU
However when we try to run classification_sample demo as below, it sometimes stuck forever. Not after certain amount of inference calls but randomly. Sometimes it finished with -ni set to 3000 but sometimes it stuck when we set -ni to 10. Below is the command we used.
/<path>/inference_engine_samples_build/intel64/Release/classification_sample -i /opt/intel/openvino/deployment_tools/demo/car.png -m /<path>/squeezenet1.1_FP16/squeezenet1.1.xml -d HETERO:FPGA,CPU -ni 10The same thing happens with our custom code, which runs without issue on CPU.
While this execution is running we are not able to call "aocl diagnose" at all.
We are really out of ideas and we are starting to suspect that the FPGA card is broken. So any help or suggestion is highly appreciated.
My second question is if it's possible to call "aocl diagnose" from two different terminals simultaneously.
PS: We have skipped the part in documentation which is about USB Blaster (we dont have this thing).