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* Add cuda_configure repository rule to autodetect cuda.Gravatar David Z. Chen2016-08-20
This change reimplements the CUDA autoconfiguration mechanism in Skylark, providing a `cuda_configure` workspace rule. We keep the same user interface, the ./configure script, but rather than modifying source files within the source tree, `cuda_configure` generates a `@local_config_cuda` workspace containing: * Symlinks to the CUDA headers and libraries * BUILD files generated with the correct CUDA and cuDNN versions * CROSSTOOL config with CUDA include dirs populated * crosstool_wrapper_driver_is_not_gcc wrapper script with compiler paths and CUDA compute capabilities set. * cuda_config.h header file with CUDA versions and compute capabilities set, which can be `#include`d by source files. This change also makes the following fixes to `Dockerfile.gpu`: * Change the `CUDNN_INSTALL_PATH` to point to `/usr/lib/x86_64-linux-gnu` rather than `/usr/local/cuda` since NVIDIA's image installs `libcudnn.so` under `/usr/lib/x86_64-linux-gnu`. * Add env variable to set the minimum compute capability to 3.0. Fixes #2873