Created
November 16, 2017 19:11
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@moble Hi guys, I'm also really keen to see better performance in the clifford library. Just chiming in to say I executed the notebook and and the
@
is fastest for me too (dot
56 µs ± 1.29 µs,einsum
64.4 µs ± 804 ns,@
43.1 µs ± 457 ns).Output of
show_config()
:blas_mkl_info: NOT AVAILABLE blis_info: NOT AVAILABLE openblas_info: libraries = ['libopenblas_v0.2.20_mingwpy', 'libopenblas_v0.2.20_mingwpy'] library_dirs = ['c:\\opt\\64\\lib'] language = c define_macros = [('HAVE_CBLAS', None)] blas_opt_info: libraries = ['libopenblas_v0.2.20_mingwpy', 'libopenblas_v0.2.20_mingwpy'] library_dirs = ['c:\\opt\\64\\lib'] language = c define_macros = [('HAVE_CBLAS', None)] lapack_mkl_info: NOT AVAILABLE openblas_lapack_info: libraries = ['libopenblas_v0.2.20_mingwpy', 'libopenblas_v0.2.20_mingwpy'] library_dirs = ['c:\\opt\\64\\lib'] language = c define_macros = [('HAVE_CBLAS', None)] lapack_opt_info: libraries = ['libopenblas_v0.2.20_mingwpy', 'libopenblas_v0.2.20_mingwpy'] library_dirs = ['c:\\opt\\64\\lib'] language = c define_macros = [('HAVE_CBLAS', None)]