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9 Commits

Author SHA1 Message Date
Ting Lu
b6852778ff Add Magma build for CUDA 13.0 (#160770) 
Add magma build for CUDA 13.0 after almalinux docker is available

https://github.com/pytorch/pytorch/issues/159779
Pull Request resolved: https://github.com/pytorch/pytorch/pull/160770
Approved by: https://github.com/atalman

Co-authored-by: Andrey Talman <atalman@fb.com>
Co-authored-by: Wei Wang <weiwan@nvidia.com>
 2025-08-19 01:10:00 +00:00
atalman
7a03b0d2ca [BE] Remove CUDA 11 artifacts. Fix Check Binary workflow (#155555) 
Please see: https://github.com/pytorch/pytorch/issues/147383

1. Remove CUDA 11 build and test artifacts. One place CUDA 12.4
2. Fix Check Binary Workflow to use Stable Cuda version variable rather then hardcoded one

Pull Request resolved: https://github.com/pytorch/pytorch/pull/155555
Approved by: https://github.com/malfet, https://github.com/Skylion007
 2025-06-10 21:32:08 +00:00
Ting Lu
07e340e29c Build magma-cuda 129 (#155496) 
followup for https://github.com/pytorch/pytorch/pull/155340
https://github.com/pytorch/pytorch/issues/155196
Pull Request resolved: https://github.com/pytorch/pytorch/pull/155496
Approved by: https://github.com/atalman
 2025-06-10 00:32:24 +00:00
atalman
22f179d77d Use almalinux docker files for building Magma (#152358) 
Resolves https://github.com/pytorch/pytorch/issues/151707 for CUDA Nvidia Magma builds.
Removes deprecated cuda 12.4 build.

Using `pytorch/manylinux2_28-builder` image for magma build creates circular dependency.

For a while for magma builds we used `conda-builder` image since it does not have circular dependency:
https://github.com/pytorch/builder/blob/release/2.4/magma/Makefile#L13
However during migration to pytorch/pytorch: https://github.com/pytorch/pytorch/pull/139888 we introduced circular dependency using Manylinux 2.28 docker image.

Hence using almalinux image which suppose to be general usage image

Please note: Magma builds using Docker build : https://github.com/pytorch/pytorch/blob/main/.ci/magma/README.md we can look into migrating them to Docker images if required as a followup BE change if needed

TODO: Make same change for rocm builds. I believe some more work for rocm is required, since maga-rocm is requires rocm dev, utils and lib to be installed : https://github.com/pytorch/pytorch/blob/main/.ci/docker/common/install_rocm.sh

Pull Request resolved: https://github.com/pytorch/pytorch/pull/152358
Approved by: https://github.com/nWEIdia, https://github.com/huydhn
 2025-04-29 00:45:01 +00:00
atalman
1db3c58fab Remove manylinux 2014 artifacts (#148135) 
1. Switch Magma build to Manylinux 2.28 base
2. Use manylinux 2.28 as default in populate_binary_env.sh
3. Remove manylinux 2014 docker builds
Pull Request resolved: https://github.com/pytorch/pytorch/pull/148135
Approved by: https://github.com/malfet
 2025-02-28 13:43:14 +00:00
Ting Lu
354fe48db9 Add magma cuda build 12.8 (#145765) 
https://github.com/pytorch/pytorch/issues/145570

Pull Request resolved: https://github.com/pytorch/pytorch/pull/145765
Approved by: https://github.com/malfet
 2025-01-29 08:43:38 +00:00
Andrea Frittoli
0b650c360a Build magma for windows (#139924) 
Copy the magma for windows job and script from pytorch/builder c9aac65e12/.github/workflows/build-magma-windows.yml

The linux version is moved here in https://github.com/pytorch/pytorch/pull/139888

Fixes #140001

Pull Request resolved: https://github.com/pytorch/pytorch/pull/139924
Approved by: https://github.com/atalman
 2024-11-09 09:27:59 +00:00
Andrea Frittoli
72976b2486 Use manylinux-builder images with main tag (#140158) 
The magma build uses deprecated manylinux-builder images. Update it to use the images with "main" in the tag:

  pytorch/manylinux-builder:cuda<version>-main

Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/140158
Approved by: https://github.com/atalman
 2024-11-09 02:16:00 +00:00
Andrea Frittoli
c1c94cb0be Build magma binary tarballs for various cuda (#139888) 
This is a first step towards removing builds dependency to conda.

Currently we build magma as a conda package in a pytorch conda channel, implemented in a1b372dbda/magma.

This commit adapts the logic from pytorch/builder as follows:
- use pytorch/manylinux-cuda<cuda-version> as base image
- apply patches and invoke the build.sh script directly (not anymore through conda build)
- stores license and build files along with the built artifact, in an info subfolder
- create a tarball file which resembles that created by conda, without any conda-specific metadata

A new matrix workflow is added, which runs the build for each supported cuda version, and uploads the binaries to pyorch s3 bucket.

For the upload, define an upload.sh script, which will be used by the magma windows job as well, to upload to `s3://ossci-*` buckets.

The build runs on PR and push, upload runs in DRY_RUN mode in case of PR.

Fixes #139397

Pull Request resolved: https://github.com/pytorch/pytorch/pull/139888
Approved by: https://github.com/atalman, https://github.com/malfet, https://github.com/seemethere
 2024-11-08 13:28:27 +00:00