@jinchenglee @acapone13 @Augusto I am sorry the shared link cannot be used. I have accelerated the 52-layer convolution on vta in my github dev branch. https://github.com/i24361/incubator-tvm
The consistency problem of vta in zcu 104 platform proved to be an internal logic bug in vta according to https://discuss.tvm.ai/t/rfc-vta-a-hls-c-vta-bug/6743 Due to the characteristics of BRAM, the fallback schedule for vta conv2d causes fault results in real FPGA. There is two way to solve this problem, one is auto-tuning, the other is construct a by-pass for VTA. --- [Visit Topic](https://discuss.tvm.ai/t/vta-a-workaround-for-deploying-faster-r-cnn-on-target-ext-dev-vta-and-arm-cpu/6516/9) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/d491eb05cd9eb5842adb5913f767ae1d80fca35cb4fde9938245fe275d5e897f).
