I have to use Pytorch master for my project because I need to differentiate the
torch.lgamma function, but it’s been hard getting travis-CI to use Pytorch master. So far I’ve tried compiling Pytorch (master) to a
.egg file, then having travis wget that egg file and install it. Unfortunately, it seems like I’m always missing some dependencies on the travis system, even though when I compile pytorch locally, I turn off all the features I can (e.g., NO_CUDA=1, NO_MKL=1, …). Is there a way to build all the dependencies into the .egg file? Or is this the wrong way go about it? If so, what’s the easy way to get travis-CI to install pytorch master?