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Google and Debian work collectively to make COVID-19 researchers’ lives simpler

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Google and Debian work collectively to make COVID-19 researchers’ lives simpler

Bazel is now obtainable as a straightforward to put in bundle distributed on Debian and Ubuntu.

Tensorflow packaging for Debian is progressing.

Olek Wojnar, Debian Developer, reached out to the Bazel staff about packaging and distributing Bazel on Debian (and different Linux distributions akin to Ubuntu) in service of delivering Tensorflow Machine Studying performance for COVID-19 researchers:

“I am working with the Debian Med staff proper now to get some much-needed software program packaged and obtainable for customers within the medical neighborhood to assist with the COVID-19 pandemic. A minimum of one of many packages we desperately want requires Bazel to construct. Clearly that is an uncommon and really crucial scenario. I do not assume it is an exaggeration to say that lives could actually depend upon us getting higher instruments to the medical professionals on the market, and shortly. The whole worldwide neighborhood can be terribly grateful if @google and the @bazelbuild staff might prioritize serving to with this!”

The Bazel staff jumped in to assist Olek and the COVID-19 analysis neighborhood. Yun Peng, Software program Engineer at Google with Olek Wojnar led the staff of Bazel and Debian volunteers to maneuver the mission ahead. The joint effort between Debian and Google has produced some nice outcomes, together with packaging the Bazel bootstrap variant in 6 months time (Debian 11 — launched in Late 2021; Ubuntu 21.04 — 22 April 2021). Bazel is now obtainable as a straightforward to put in bundle distributed on Debian and Ubuntu. The prolonged Google staff continues to work with Debian in the direction of the subsequent step of packaging and distributing Tensorflow on Debian and different Linux distributions.

Along with Yun and Olek, different contributors to this mission embody Michael R. Crusoe of Debian, Joe Hicks, John Area, Philipp Wollermann, and Tobias Werth of Google.

Posted by Joe Hicks, Yun Peng, Olek Wojnar

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Google and Debian work collectively to make COVID-19 researchers’ lives simpler

Bazel is now obtainable as a straightforward to put in bundle distributed on Debian and Ubuntu.

Tensorflow packaging for Debian is progressing.

Olek Wojnar, Debian Developer, reached out to the Bazel staff about packaging and distributing Bazel on Debian (and different Linux distributions akin to Ubuntu) in service of delivering Tensorflow Machine Studying performance for COVID-19 researchers:

“I am working with the Debian Med staff proper now to get some much-needed software program packaged and obtainable for customers within the medical neighborhood to assist with the COVID-19 pandemic. A minimum of one of many packages we desperately want requires Bazel to construct. Clearly that is an uncommon and really crucial scenario. I do not assume it is an exaggeration to say that lives could actually depend upon us getting higher instruments to the medical professionals on the market, and shortly. The whole worldwide neighborhood can be terribly grateful if @google and the @bazelbuild staff might prioritize serving to with this!”

The Bazel staff jumped in to assist Olek and the COVID-19 analysis neighborhood. Yun Peng, Software program Engineer at Google with Olek Wojnar led the staff of Bazel and Debian volunteers to maneuver the mission ahead. The joint effort between Debian and Google has produced some nice outcomes, together with packaging the Bazel bootstrap variant in 6 months time (Debian 11 — launched in Late 2021; Ubuntu 21.04 — 22 April 2021). Bazel is now obtainable as a straightforward to put in bundle distributed on Debian and Ubuntu. The prolonged Google staff continues to work with Debian in the direction of the subsequent step of packaging and distributing Tensorflow on Debian and different Linux distributions.

Along with Yun and Olek, different contributors to this mission embody Michael R. Crusoe of Debian, Joe Hicks, John Area, Philipp Wollermann, and Tobias Werth of Google.

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