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Specifying _x86_64-microarch-level=something
doesn't solve properly
#3698
Comments
Also I would like to comment that you can get the microarch 1 build of Package Version Build Channel Size
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Install:
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+ _libgcc_mutex 0.1 conda_forge conda-forge Cached
+ _openmp_mutex 4.5 2_gnu conda-forge Cached
+ _x86_64-microarch-level 3 2_x86_64_v3 conda-forge 8kB
+ awkward 2.7.2 pyhd8ed1ab_0 conda-forge 422kB
+ awkward-cpp 43 py311hc248303_101 conda-forge 532kB
+ bzip2 1.0.8 h4bc722e_7 conda-forge Cached
+ ca-certificates 2024.12.14 hbcca054_0 conda-forge 157kB
+ fsspec 2024.10.0 pyhd8ed1ab_1 conda-forge 135kB
+ importlib-metadata 8.5.0 pyha770c72_1 conda-forge 29kB
+ ld_impl_linux-64 2.43 h712a8e2_2 conda-forge Cached
+ libblas 3.9.0 26_linux64_openblas conda-forge 16kB
+ libcblas 3.9.0 26_linux64_openblas conda-forge 16kB
+ libexpat 2.6.4 h5888daf_0 conda-forge Cached
+ libffi 3.4.2 h7f98852_5 conda-forge Cached
+ libgcc 14.2.0 h77fa898_1 conda-forge Cached
+ libgcc-ng 14.2.0 h69a702a_1 conda-forge Cached
+ libgfortran 14.2.0 h69a702a_1 conda-forge 54kB
+ libgfortran5 14.2.0 hd5240d6_1 conda-forge 1MB
+ libgomp 14.2.0 h77fa898_1 conda-forge Cached
+ liblapack 3.9.0 26_linux64_openblas conda-forge 16kB
+ liblzma 5.6.3 hb9d3cd8_1 conda-forge Cached
+ libnsl 2.0.1 hd590300_0 conda-forge Cached
+ libopenblas 0.3.28 pthreads_h94d23a6_1 conda-forge 6MB
+ libsqlite 3.47.2 hee588c1_0 conda-forge Cached
+ libstdcxx 14.2.0 hc0a3c3a_1 conda-forge Cached
+ libuuid 2.38.1 h0b41bf4_0 conda-forge Cached
+ libxcrypt 4.4.36 hd590300_1 conda-forge Cached
+ libzlib 1.3.1 hb9d3cd8_2 conda-forge Cached
+ ncurses 6.5 he02047a_1 conda-forge Cached
+ numpy 2.2.0 py311hf916aec_0 conda-forge 9MB
+ openssl 3.4.0 hb9d3cd8_0 conda-forge Cached
+ packaging 24.2 pyhd8ed1ab_2 conda-forge Cached
+ pip 24.3.1 pyh8b19718_2 conda-forge 1MB
+ python 3.11.11 h9e4cc4f_1_cpython conda-forge 31MB
+ python_abi 3.11 5_cp311 conda-forge 6kB
+ readline 8.2 h8228510_1 conda-forge Cached
+ setuptools 75.6.0 pyhff2d567_1 conda-forge Cached
+ tk 8.6.13 noxft_h4845f30_101 conda-forge Cached
+ typing_extensions 4.12.2 pyha770c72_1 conda-forge 40kB
+ tzdata 2024b hc8b5060_0 conda-forge Cached
+ wheel 0.45.1 pyhd8ed1ab_1 conda-forge Cached
+ zipp 3.21.0 pyhd8ed1ab_1 conda-forge 22kB
Summary:
Install: 42 packages
Total download: 49MB so the proper version of The use case for my issue is to just grab the desired version of |
All these were performed on an Intel Broadwell QEMU VM. I also tried on my AMD Ryzen™ 7 7800X3D desktop with |
I can reproduce this issue with |
Let's discuss this issue on conda-forge/microarch-level-feedstock#13 unless there's something really specific to mamba. |
Yes sure, I just opened it here as well as I didn't know if thise was the intended behavior, or a "bug" in the |
Yes, no problem. 🙂 I think this is a UX problem of the |
Troubleshooting docs
Anaconda default channels
How did you install Mamba?
Mambaforge or latest Miniforge
Search tried in issue tracker
Yes and found #3222 which is somewhat similar but not exactly the same. The reproducer of that issue works fine for me.
Latest version of Mamba
Tried in Conda?
I have this problem with Conda as well, without using Mamba
Describe your issue
Specifying
_x86_64-microarch-level=something
wheresomething
is less than the max of what your system supports doesn't solve properlyExample:
conda create -n bug awkward=2.7.2 python=3.11 _x86_64-microarch-level=1
is givingThe way I read it, this is a problem with
__archspec=1=broadwell
which you can see in theconda info
becausebroadwell
is not a viable microarch 1/2 version. However the newer ones are extensions, so older instructions are supported by newer cpus so it shouldn't care right?conda create -n bug awkward=2.7.2 python=3.11 _x86_64-microarch-level=3
works fine on this system.On the other hand,
pixi
is able to do this finecc @matthewfeickert
Packages in
base
aremamba info / micromamba info
Logs
No response
environment.yml
No response
~/.condarc
No response
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