svn commit: r50445 - head/en_US.ISO8859-1/htdocs/news/status

Benjamin Kaduk bjk at
Mon Jul 3 19:04:27 UTC 2017

Author: bjk
Date: Mon Jul  3 19:04:26 2017
New Revision: 50445

  Add 2017Q2 TensorFlow porting entry from amutu at


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 @@
+  <project cat='ports'>
+    <title>TensorFlow</title>
+    <contact>
+      <person>
+	<name>
+	  <given>Jov</given>
+	</name>
+	<email>amutu at</email>
+      </person>
+    </contact>
+    <links>
+      <url href="">TensorFlow PR</url>
+      <url href="">Phabricator Review</url>
+      <url href="">Prebuilt Packages</url>
+      <url href="">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>

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