CUDA: Lower minimum device architecture check to sm_60. Native FP16 packet math intrinsics (e.g. __hfma2, h2exp, h2log) only require `__CUDA_ARCH__ >= 530`, and Pascal (sm_60) has full native FP16 hardware support and declares all needed intrinsics. Relaxing the architecture guard from sm_70 to sm_60 allows targeting Pascal GPUs (e.g. Tesla P100) while continuing to guard against pre-Pascal architectures that lack native half2 intrinsics. This is Google's default GPU test environment.
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/ or https://libeigen.gitlab.io.
For pull request, bug reports, and feature requests, go to https://gitlab.com/libeigen/eigen.