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Without this flag, when compiling with nvcc, if the compute architecture of a card does not exactly match any of those listed for `-gencode arch=compute_<arch>,code=sm_<arch>`, then the kernel will fail to run with: ``` cudaErrorNoKernelImageForDevice: no kernel image is available for execution on the device. ``` This can happen, for example, when compiling with an older cuda version that does not support a newer architecture (e.g. T4 is `sm_75`, but cuda 9.2 only supports up to `sm_70`). With the `-arch=<arch>` flag, the code will compile and run at the supplied architecture.
Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.
For more information go to http://eigen.tuxfamily.org/.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.