First I followed the [VTA Installation 
Guide](http://tracking.discuss.tvm.ai/tracking/click?d=x8-IQ_l_vr_qVN9SExaGd-3MCe_SESmEC8CF6JZIUfJVXP-8TEqqwotGyEDSxG-TPRrLlc7OXOPpZw7BtpBtldLBi7lx6AV-3M5cQa8LYkISaLyHBQXe92N5ShPw_XF4i4wC0b7S122TRsTEpSY_IyRoIIWlHCu8FM2S-Ul5aD3WbQEDZaDZl1Q_W7aBxEKT0g2)
 and tested with the 2Dconvolution provided in it. After that I followed the 
tutorial named ["Deploy Pretrained Vision Model from MxNet on 
VTA"](http://tracking.discuss.tvm.ai/tracking/click?d=D0goX-PhkIJ0miMliaNZ2ZGH7l_fmSALc7Ma4_-_qKoeoUIoZuxJZh9DfHpc70Y4qvDuROsoz1FWpom8iZBWU4Rx1Wd__czb5ao2fquE2RTmQX7PaFJC54oeCkYAcZPdFQWz85deGD-pKGfVXe7pkL5rVZUvShJPDHaruRxsTj51FHh41WMZmdvRYMXhvpDLpyP8UrTe_W80UzLJO4P6Elh2fZzL2wR6_q0J1SUAqcyEQH3tiyysHTdKxZokp-t1Dg2)
 also.

Now I am finding it very difficult to run a basic tensorflow model created by 
me on vta in the same manner. I couldn't find any directly related tutorial 
even. If anyone has done running a pre-trained tensorflow model for inference 
on a xilinx pynq fpga using vta, please help me on how to do it. If you can 
send me a python source code of any tensorflow model running on vta, that would 
be great.





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Tianqi Chen, UW, Seattle, WA, 98105, United States
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