The CPU-only version of pytorch used be < 200 MB (see e.g. heroku - Where do I get a CPU-only version of PyTorch? - Stack Overflow 9). Now it is > 1 GB.
This seems to mainly be due to the inclusion of dnnl.lib and mkldnn.lib (Windows). Are these needed for inference? It seems I can just delete them.
Anyone have any good ideas for further reducing the file size of the torch library?
Thanks!