Package: bazel
Priority: optional
Section: contrib/devel
Installed-Size: 141857
Maintainer: The Bazel Authors <bazel-dev@googlegroups.com>
Architecture: amd64
Version: 0.4.4-dist-0+pn1
Depends: openjdk-8-jdk | google-jdk | java8-jdk | java8-sdk | oracle-java8-installer, g++, zlib1g-dev, bash-completion, libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libstdc++6 (>= 4.9)
Conflicts: openjdk-9-jdk
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Size: 143133328
MD5sum: d341d0737a6724c9f136deab3a54ff9b
SHA1: 1767c2f8b75578d109a65a44232014a4296bc62d
SHA256: 452d319b9318a636f921bf78e390756cbca82de5e203f3d87becbb8c5de3be19
Description: Bazel is a tool that automates software builds and tests.
 Supported build tasks include running compilers and linkers to produce
 executable programs and libraries, and assembling deployable packages
 for Android, iOS and other target environments. Bazel is similar to
 other tools like Make, Ant, Gradle, Buck, Pants and Maven.
Homepage: http://bazel.build

Package: python-tensorflow
Priority: optional
Section: python
Installed-Size: 40053
Maintainer: Benjamin Moody <benjamin@physionet.org>
Architecture: amd64
Source: tensorflow
Version: 1.0.0-0~pn1
Depends: python (>= 2.7~), python (<< 2.8), python-pip, python-protobuf (>= 3.1.0), python-numpy (>= 1.11.0), python-six (>= 1.10.0), python-wheel, python-mock (>= 2.0.0)
Filename: pool/contrib/t/tensorflow/python-tensorflow_1.0.0-0~pn1_amd64.deb
Size: 36149922
MD5sum: 2bf39a6ba812bb8e1ab3386eaeea05c4
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SHA256: 1616acbba56457992f96a2777bd8c901fd9af6c15a194b5b8cd3a45c9642bd94
Description: Computation using data flow graphs for scalable machine learning
 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) that flow between them. This
 flexible architecture lets you deploy computation to one or more CPUs
 or GPUs in a desktop, server, or mobile device without rewriting
 code. TensorFlow also includes TensorBoard, a data visualization
 toolkit.
 .
 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. The system is general enough to be
 applicable in a wide variety of other domains, as well.
 .
 This package contains the TensorFlow library for Python 2.  Note that
 this package is a nasty kludge which simply installs the package from
 a "wheel" file; uninstalling the package will leave files installed
 in /usr/local/.

Package: python3-tensorflow
Priority: optional
Section: python
Installed-Size: 40051
Maintainer: Benjamin Moody <benjamin@physionet.org>
Architecture: amd64
Source: tensorflow
Version: 1.0.0-0~pn1
Depends: python3 (>= 3.4~), python3 (<< 3.5), python3-pip, python3-protobuf (>= 3.1.0), python3-numpy (>= 1.11.0), python3-six (>= 1.10.0), python3-wheel (>= 0.26)
Filename: pool/contrib/t/tensorflow/python3-tensorflow_1.0.0-0~pn1_amd64.deb
Size: 36147896
MD5sum: 022ae7e4c325b211e72134f9a7ae2ab0
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SHA256: aeeff787b7e778df9d03432134b985b9d1256698d7b615ef94d9a4a13b001137
Description: Computation using data flow graphs for scalable machine learning
 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) that flow between them. This
 flexible architecture lets you deploy computation to one or more CPUs
 or GPUs in a desktop, server, or mobile device without rewriting
 code. TensorFlow also includes TensorBoard, a data visualization
 toolkit.
 .
 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. The system is general enough to be
 applicable in a wide variety of other domains, as well.
 .
 This package contains the TensorFlow library for Python 3.  Note that
 this package is a nasty kludge which simply installs the package from
 a "wheel" file; uninstalling the package will leave files installed
 in /usr/local/.