01-28-2019 06:17 PM
i try to run the latest ml-suite v1.3 with U250
however the classification jupyter notebook example fail
and the notebook cause kernel dead at the point of xdnn.computeFC
can anyone update the API of the xdnn
or provide the source code of xdnn library as in v1.2?
01-30-2019 10:33 AM
Currently we are not publishing our C++ APIs. The current version of ml-suite uses C++ implementation of FC.
Can you post your usage of the API, and also the error message?
01-30-2019 05:35 PM
thanks for your reply
i am running ml-suite v1.3 image_classification_caffe.ipynb with u250
it seems like the fpga part is completed as i can run the notebook up to Step 9
but when it comes to Step 10, Execute the FC Layers on the CPU, the kernel is reported dead
no further debug message
so i wonder maybe some of the argument is not valid / null.
i compare to v1.2 and do spot some different in api argument list.
but no further information can be found.
would xilinx provide more information on xdnn apis or even source code like in v1.2?
or maybe just fix the out-of-the-box demo in github?
01-30-2019 05:52 PM
What AMI are you using?
The out of the box examples should of course work.
If you are not already, I would recommend that you start from the latest version of this AMI:
01-30-2019 06:10 PM
hi, i am running on premise u250 server
and the master github checkout is not working
can you double check with the xdnn library?