[ML] Change the list of MKL libraries we redistribute

[droberts195]

In our build setup instructions we specify the MKL libraries that we will redistribute, for example on Linux:

ml-cpp/build-setup/linux.md

Lines 280 to 285 in e262592

	sudo cp /opt/intel/mkl/lib/intel64/libmkl_intel_lp64.so /usr/local/gcc103/lib
	sudo cp /opt/intel/mkl/lib/intel64/libmkl_core.so /usr/local/gcc103/lib
	sudo cp /opt/intel/mkl/lib/intel64/libmkl_def.so /usr/local/gcc103/lib
	sudo cp /opt/intel/mkl/lib/intel64/libmkl_gnu_thread.so /usr/local/gcc103/lib
	sudo cp /opt/intel/mkl/lib/intel64/libmkl_avx*.so /usr/local/gcc103/lib
	sudo cp /opt/intel/mkl/lib/intel64/libmkl_vml*.so /usr/local/gcc103/lib

Based on the information in the "Computational Layer" section of the table in http://portal.nacad.ufrj.br/online/intel/mkl/common/mkl_userguide/GUID-C823F752-DDA3-4EFB-B673-222C2720FAFA.htm, the subset of libraries we are shipping is not quite correct.

We claim that our code will run on processors that support at minimum SSE4.2 instructions. This means that we should be shipping libmkl_mc3.so in addition to the libraries we are currently shipping. Additionally, since we won't run on processors that support a maximum of SSSE3 nor Hi-k Core 2 processors (from 2009), we don't need to ship libmkl_vml_mc.so nor libmkl_vml_mc2.so.

We should correct this next time we upgrade PyTorch and have to revisit the PyTorch dependencies.