Update FAISS / dockerfiles to latest version in master.

FAISS approximate retrieval use copy_subset_to.
Soon FAISS K-NN graph construction.

Next:

- Implement pre-condition checks, failed to launch error
messages for processes. Rollback created models on failure to launch.

- Implement clustering.

- Implement location net, fine-tuning / training face recognition models

deploy/dockerfiles/Dockerfile

@@ -46,7 +46,7 @@ WORKDIR "/root/thirdparty/faiss"
 RUN apt-get install -y libopenblas-dev swig
 ENV BLASLDFLAGS /usr/lib/libopenblas.so.0
 RUN mv example_makefiles/makefile.inc.Linux ./makefile.inc
-RUN make tests/test_blas -j $(nproc) && make -j $(nproc) && make py
+RUN make -j $(nproc) && make py
 #RUN cd tests && ./run_tests.sh && cd ..
 ENV PYTHONPATH /root/DVA/repos/:$PYTHONPATH
 ENV PYTHONPATH /root/DVA/repos/tf_ctpn_cpu/:$PYTHONPATH

deploy/dockerfiles/Dockerfile.gpu

@@ -45,7 +45,7 @@ WORKDIR "/root/thirdparty/faiss"
 RUN apt-get install -y libopenblas-dev swig
 ENV BLASLDFLAGS /usr/lib/libopenblas.so.0
 RUN mv example_makefiles/makefile.inc.Linux ./makefile.inc
-RUN make tests/test_blas -j $(nproc) && make -j $(nproc) && make py
+RUN make -j $(nproc) && make py
 #RUN cd tests && ./run_tests.sh && cd ..
 # Waiting for CUDA 9 compatibility for FAISS to compile GPU version
 ENV PYTHONPATH /root/DVA/repos/:$PYTHONPATH