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I often develop for an x86 environment on an M1 MacBook using an x86_64 docker container. Related to #1021 as I consider adding Daft to my technology stack it causes some issues when testing/building docker images that incorporate Daft.
Describe the solution you'd like
Polars solves this problem by providing a package polars-lts-cpu which runs ok on an M1 chipset inside an x86_64 docker container. I don't have any strong opinions on the particular solution. As an end user here I would only like to be able to run Daft on an x86_64 VM running on an M1 MacBook in a docker container.
Describe alternatives you've considered
Developing on a remote x86_64 based EC2 instance
Additional Context
No response
Would you like to implement a fix?
No
The text was updated successfully, but these errors were encountered:
Hello @jpedrick-numeus can you specify which issues specifically you are experiencing? Is there some instruction set (say SIMD) that the x86 emulator you are using is not supoprting? Thank you :)
Hello @jpedrick-numeus can you specify which issues specifically you are experiencing? Is there some instruction set (say SIMD) that the x86 emulator you are using is not supoprting? Thank you :)
I'm not an expert regarding instruction sets. The module crashes on import.
$ python
Python 3.10.15 | packaged by conda-forge | (main, Oct 16 2024, 01:24:24) [GCC 13.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import daft
Illegal instruction
I'm running Docker Machine on an M1 MacBook w/ an x86_64 docker image (mambaorg/micromamba) w/ the Rosetta emulator.
Is your feature request related to a problem?
I often develop for an x86 environment on an M1 MacBook using an x86_64 docker container. Related to #1021 as I consider adding Daft to my technology stack it causes some issues when testing/building docker images that incorporate Daft.
Describe the solution you'd like
Polars solves this problem by providing a package
polars-lts-cpu
which runs ok on an M1 chipset inside an x86_64 docker container. I don't have any strong opinions on the particular solution. As an end user here I would only like to be able to run Daft on an x86_64 VM running on an M1 MacBook in a docker container.Describe alternatives you've considered
Developing on a remote x86_64 based EC2 instance
Additional Context
No response
Would you like to implement a fix?
No
The text was updated successfully, but these errors were encountered: