Closed lucascolley closed 2 months ago
That seems to work nicely now, thanks Lucas!
Default env:
% pixi ls --platform linux-64 | rg "blas|mkl"
blas-devel 3.9.0 23_linux64_openblas 14.5 KiB conda blas-devel-3.9.0-23_linux64_openblas.conda
libblas 3.9.0 23_linux64_openblas 14.5 KiB conda libblas-3.9.0-23_linux64_openblas.conda
libcblas 3.9.0 23_linux64_openblas 14.5 KiB conda libcblas-3.9.0-23_linux64_openblas.conda
liblapack 3.9.0 23_linux64_openblas 14.5 KiB conda liblapack-3.9.0-23_linux64_openblas.conda
liblapacke 3.9.0 23_linux64_openblas 14.5 KiB conda liblapacke-3.9.0-23_linux64_openblas.conda
libopenblas 0.3.27 pthreads_hac2b453_1 5.3 MiB conda libopenblas-0.3.27-pthreads_hac2b453_1.conda
openblas 0.3.27 pthreads_h9eca1d5_1 5.5 MiB conda openblas-0.3.27-pthreads_h9eca1d5_1.conda
mkl
env:
% pixi ls -e mkl --platform linux-64 | rg "blas|mkl"
Environment: mkl
blas-devel 3.9.0 23_linux64_mkl 14.3 KiB conda blas-devel-3.9.0-23_linux64_mkl.conda
libblas 3.9.0 23_linux64_mkl 14.9 KiB conda libblas-3.9.0-23_linux64_mkl.conda
libcblas 3.9.0 23_linux64_mkl 14.4 KiB conda libcblas-3.9.0-23_linux64_mkl.conda
liblapack 3.9.0 23_linux64_mkl 14.5 KiB conda liblapack-3.9.0-23_linux64_mkl.conda
liblapacke 3.9.0 23_linux64_mkl 14.4 KiB conda liblapacke-3.9.0-23_linux64_mkl.conda
mkl 2024.1.0 ha957f24_693 121.2 MiB conda mkl-2024.1.0-ha957f24_693.conda
mkl-devel 2024.1.0 ha770c72_693 34.3 KiB conda mkl-devel-2024.1.0-ha770c72_693.conda
mkl-include 2024.1.0 ha957f24_693 679.6 KiB conda mkl-include-2024.1.0-ha957f24_693.conda
array-api
env (expecting mkl
because of pytorch
):
% pixi ls -e array-api --platform linux-64 | rg "blas|mkl"
Environment: array-api
blas-devel 3.9.0 20_linux64_mkl 13.9 KiB conda blas-devel-3.9.0-20_linux64_mkl.conda
libblas 3.9.0 20_linux64_mkl 14.6 KiB conda libblas-3.9.0-20_linux64_mkl.conda
libcblas 3.9.0 20_linux64_mkl 14.1 KiB conda libcblas-3.9.0-20_linux64_mkl.conda
liblapack 3.9.0 20_linux64_mkl 14.1 KiB conda liblapack-3.9.0-20_linux64_mkl.conda
liblapacke 3.9.0 20_linux64_mkl 14.1 KiB conda liblapacke-3.9.0-20_linux64_mkl.conda
libtorch 2.3.1 cpu_mkl_h0bb0d08_100 47.5 MiB conda libtorch-2.3.1-cpu_mkl_h0bb0d08_100.conda
mkl 2023.2.0 h84fe81f_50496 156.8 MiB conda mkl-2023.2.0-h84fe81f_50496.conda
mkl-devel 2023.2.0 ha770c72_50496 29 KiB conda mkl-devel-2023.2.0-ha770c72_50496.conda
mkl-include 2023.2.0 h84fe81f_50496 688.1 KiB conda mkl-include-2023.2.0-h84fe81f_50496.conda
pytorch 2.3.1 cpu_mkl_py312h3b258cc_100 23.3 MiB conda pytorch-2.3.1-cpu_mkl_py312h3b258cc_100.conda
jax
env (expecting openblas
):
% pixi ls -e jax --platform linux-64 | rg "blas|mkl"
Environment: jax
blas-devel 3.9.0 23_linux64_openblas 14.5 KiB conda blas-devel-3.9.0-23_linux64_openblas.conda
libblas 3.9.0 23_linux64_openblas 14.5 KiB conda libblas-3.9.0-23_linux64_openblas.conda
libcblas 3.9.0 23_linux64_openblas 14.5 KiB conda libcblas-3.9.0-23_linux64_openblas.conda
liblapack 3.9.0 23_linux64_openblas 14.5 KiB conda liblapack-3.9.0-23_linux64_openblas.conda
liblapacke 3.9.0 23_linux64_openblas 14.5 KiB conda liblapacke-3.9.0-23_linux64_openblas.conda
libopenblas 0.3.27 pthreads_hac2b453_1 5.3 MiB conda libopenblas-0.3.27-pthreads_hac2b453_1.conda
openblas 0.3.27 pthreads_h9eca1d5_1 5.5 MiB conda openblas-0.3.27-pthreads_h9eca1d5_1.conda
This really is quite a pleasant tool, isn't it:)
yes!!
closes gh-3 based on the guidance in https://github.com/prefix-dev/pixi/pull/1786