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| 1/24/2024 | ||
| ========= | ||
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| Attendees: | ||
| ---------- | ||
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| * Andrew Wafaa, Arm (Open Source Working Group chair) | ||
| * Abhishek Jain, Fujitsu | ||
| * Alex Pim, Imagination Technologies | ||
| * Alexey Kukanov, Intel | ||
| * Ankit Manerikar, Intel | ||
| * Denis Samoilov, Intel | ||
| * Igor Safanov, Intel | ||
| * Steve Capper, Arm | ||
| * Maria Kraynyuk, Intel | ||
| * Masahiro Doteguchi, Fujitsu | ||
| * Nikolay Petrov, Intel | ||
| * Pavel Kumbrasev, Intel | ||
| * Penporn Koanakatool, Google | ||
| * Ragesh Hajela, Fujitsu | ||
| * Robert Cohn, Intel | ||
| * Sarah Knepper, Intel | ||
| * Timmie Smith, Intel | ||
| * Vadim Pirogov, Intel | ||
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| Agenda: | ||
| ------- | ||
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| * Present priorities for the Open Source Working Group | ||
| * Discuss issues and areas for work | ||
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| Notes | ||
| ----- | ||
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| The first meeting of the UXL Foundation Open Source Working Group was | ||
| led by Andrew Wafaa from Arm. | ||
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| The group went through a set of priorities that have been provided by | ||
| the UXL Steering Committee. | ||
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| * Build Infrastructure | ||
| * The intention of this is to bring independent builds of the | ||
| projects and infrastructure in place that facilitates community | ||
| contributions to the projects. | ||
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| * Open Source Best Practice | ||
| * The intention of this is to ensure that the projects follow the | ||
| best practices of open source development so that there is a clear | ||
| and frictionless way for the community to contribute to the | ||
| projects. | ||
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| * Open Source Kernels | ||
| * The intention of this is to bring more open source code to the | ||
| projects where there are opportunities to add new kernel code | ||
| particularly to help target more vendors and architectures. | ||
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| * Architecture | ||
| * Identify opportunities to simplify projects or make it easier to | ||
| support more vendor and architecture targets and also to simplify | ||
| the integration of the projects with other frameworks and | ||
| software, for example TensorFlow or PyTorch. | ||
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| * Compatibility Testing | ||
| * In order to ensure that a developer using the projects has a | ||
| consistent and good experience, compatibility tests could be made | ||
| available so that they can be run on different vendors and | ||
| architectures. | ||
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| * Build Infrastructure Discussion | ||
| * Due to the history of the projects the infrastructure is mostly | ||
| hosted by Intel but we would like to integrate CI, build and | ||
| testing for different vendor and architecture targets. Penporn | ||
| from Google shared information about how this is done with the | ||
| TensorFlow project: | ||
| * `Official Builds (maintained by Google)`_ | ||
| * `Community Builds (maintained by 3rd parties)`_ | ||
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| A similar model could be adopted for UXL Foundation projects. Options | ||
| for using public cloud infrastructure for the projects include: | ||
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| * The foundation funding infrastructure (this is unlikely due to the | ||
| costs involved) | ||
| * Obtaining donations of credits from public cloud infrastructure | ||
| providers (note that donations cannot be used in lieu of membership cost) | ||
| * Organisations providing infrastructure in a similar way to how Intel | ||
| currently does this | ||
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| Some points to note from the discussions: | ||
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| * TensorFlow has a dedicated team looking after build and CI | ||
| * The build machines needed is dictated by the volume of Pull Requests | ||
| made so can increase as contributions increase otherwise the process | ||
| can get backed up | ||
| * Some organisations require security scanning when builds are done, | ||
| some of these would be difficult to do in public | ||
| * A big improvement for projects would be to move infrastructure or | ||
| build logs in public so that the community can see this, but some | ||
| infrastructure can still live inside the corporate network | ||
| * Here is a link to an example of the infrastructure TensorFlow uses | ||
| `with Arm`_ | ||
| * The best solution is to find maintainers for specific target devices | ||
| and enable them to do this through the GitHub projects | ||
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| Penporn passed on the details of some Intel people working on CI for | ||
| TensorFlow who may have some advice or help. | ||
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| Ragesh from Fujitsu is engaging with the oneDAL team to add an Arm | ||
| target. They have discussed modifications and changes needed to make | ||
| the external contributions work and it will be good to share this with | ||
| other projects. | ||
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| Discussions will continue on the Slack channel and at the next Working | ||
| Group meeting. | ||
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| **The group agreed that the Working Group will initially focus on | ||
| specific projects, with oneDAL and oneDNN the focus for the next | ||
| meeting.** | ||
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| .. _`Official Builds (maintained by Google)`: https://github.com/tensorflow/tensorflow?tab=readme-ov-file#official-builds | ||
| .. _`Community Builds (maintained by 3rd parties)`: https://github.com/tensorflow/build#community-supported-tensorflow-builds | ||
| .. _ `with Arm`: https://github.com/tensorflow/tensorflow/actions/workflows/arm-ci.yml |
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