I also tried latest build on CPU and CUDA9.
https://download.pytorch.org/libtorch/cu90/libtorch-shared-with-deps-latest.zip 3
They still have the accuracy issue but the manual seed problem seems to be fixed on CPU and GPU respectively. Unfortunately the latest build seems to be much slower than 1.0.0 release 19 sec -> 87 sec (maybe debug build?).
My makefile above can accept following options to use the latest unzipped libtorch.
make INCPATH="-I$HOME/Downloads/libtorch/include -I$HOME/Downloads/libtorch/include/torch/csrc/api/include"  LIBPATH=$HOME/Downloads/libtorch/lib

(You need to add NO_CUDA=True if you use no cuda binary)