Date: Mon, 3 Jul 2017 19:04:26 +0000 (UTC) From: Benjamin Kaduk <bjk@FreeBSD.org> To: doc-committers@freebsd.org, svn-doc-all@freebsd.org, svn-doc-head@freebsd.org Subject: svn commit: r50445 - head/en_US.ISO8859-1/htdocs/news/status Message-ID: <201707031904.v63J4QhB054654@repo.freebsd.org>
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Author: bjk Date: Mon Jul 3 19:04:26 2017 New Revision: 50445 URL: https://svnweb.freebsd.org/changeset/doc/50445 Log: Add 2017Q2 TensorFlow porting entry from amutu@amutu.com Modified: head/en_US.ISO8859-1/htdocs/news/status/report-2017-04-2017-06.xml Modified: head/en_US.ISO8859-1/htdocs/news/status/report-2017-04-2017-06.xml ============================================================================== --- head/en_US.ISO8859-1/htdocs/news/status/report-2017-04-2017-06.xml Mon Jul 3 18:22:41 2017 (r50444) +++ head/en_US.ISO8859-1/htdocs/news/status/report-2017-04-2017-06.xml Mon Jul 3 19:04:26 2017 (r50445) @@ -934,4 +934,91 @@ July.</task> </help> </project> + + <project cat='ports'> + <title>TensorFlow</title> + + <contact> + <person> + <name> + <given>Jov</given> + </name> + <email>amutu@amutu.com</email> + </person> + </contact> + + <links> + <url href="https://bugs.FreeBSD.org/bugzilla/show_bug.cgi?id=219609">TensorFlow PR</url> + <url href="https://reviews.FreeBSD.org/D11194">Phabricator Review</url> + <url href="https://github.com/amutu/tf-FreeBSD-pkg">Prebuilt Packages</url> + <url href="https://www.tensorflow.org">TensorFlow Upstream</url> + </links> + + <body> + <p>As described on its website, "TensorFlow is an open + source software library for numerical computation using data + flow graphs. Nodes in the graph represent mathematical + operations, while the graph edges represent the + multidimensional data arrays (tensors) communicated between + them. The flexible architecture allows you to deploy + computation to one or more CPUs or GPUs in a desktop, server, + or mobile device with a single API. TensorFlow was originally + developed by researchers and engineers working on the Google + Brain Team within Google's Machine Intelligence research + organization for the purposes of conducting machine learning + and deep neural networks research, but the system is general + enough to be applicable in a wide variety of other domains as + well."</p> + + <p>TensorFlow now is the most popular platform/library for machine + learning and AI. There are official binaries for Linux, Mac, + Windows, and Android, but no official support for &os;. For + the last several months, I have done some work to make + TensorFlow available on &os;. Some notable work:</p> + + <ul> + <li>Patch <tt>bazel</tt> to not depend on <tt>/proc</tt> at + build time. <tt>bazel</tt> is a build tool made by Google. + It uses <tt>/proc</tt> to get path-to-self when building C++ + code, but mounting <tt>/proc</tt> is usually not allowed + when building as an unprivileged user.</li> + + <li>TensorFlow can now be built on &os; 10.x by using + <tt>clang38</tt> as the default <tt>bazel</tt> cross-build + tool.</li> + + <li>Patch the <tt>bazel</tt> workspace files to allow + TensorFlow to be built using offline third-party + dependencies. This work is needed because the &os; Ports + framework does not allow network access except during the + fetch stage.</li> + + <li>Fix the build on &os; i386.</li> + + <li>Make TensorFlow build with either Python 2 or Python 3.</li> + + <li>Update to the latest version, which is + <tt>tensorflow</tt>-1.2.0.</li> + </ul> + + <p>This port would not be possible without substantial + assistance from bapt@, lwhsu@, mat@, and koobs@ — thank + you for your help! You are very nice and I learned a lot + about &os; and the Ports framework from your help.</p> + </body> + + <help> + <task>Review, test, comment, and most importantly, commit to the + Ports Collection.</task> + + <task>Fix the OpenCL support on &os;.</task> + + <task>Port <tt>tensorflow-serving</tt>, which is a flexible, + high-performance serving system for machine learning models + produced by TensorFlow.</task> + + <task>Set up a CI for TensorFlow on &os; and give early notice + to upstream when they break TensorFlow on &os;.</task> + </help> + </project> </report>
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