Source: tensorflow
Section: contrib/math
Priority: optional
Maintainer: Benjamin Moody <benjamin@physionet.org>
Standards-Version: 3.9.8
Build-Depends: debhelper (>= 9), dh-python, islandhack, bazel (>= 0.10.0),
               python-dev (>= 2.7~), python-dev (<< 2.8),
               python3-dev (>= 3.5~), python3-dev (<< 3.6),
               python-numpy, python3-numpy,
               python-pip, python3-pip,
               python-setuptools, python3-setuptools,
               python-wheel, python3-wheel,
               python-enum34, python-mock

Package: python-tensorflow
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python:Depends},
         python (>= 2.7~), python (<< 2.8),
         python-absl-py (>= 0.1.6),
         python-astor (>= 0.6.0),
         python-backports.weakref (>= 1.0),
         python-enum34 (>= 1.1.6),
         python-gast (>= 0.2.0),
         python-grpcio (>= 1.8.6),
         python-termcolor (>= 1.1.0),
         python-mock (>= 2.0.0),
         python-numpy (>= 1:1.13.3),
         python-protobuf (>= 3.4.0),
         python-setuptools (<= 39.1.0),
         python-six (>= 1.10.0),
         python-wheel
Section: contrib/python
Description: Computation using data flow graphs for machine learning (Python 2)
 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.

Package: python3-tensorflow
Architecture: any
Depends: ${misc:Depends}, ${shlibs:Depends}, ${python3:Depends},
         python3 (>= 3.5~), python3 (<< 3.6),
         python3-absl-py (>= 0.1.6),
         python3-astor (>= 0.6.0),
         python3-gast (>= 0.2.0),
         python3-grpcio (>= 1.8.6),
         python3-numpy (>= 1:1.13.3),
         python3-protobuf (>= 3.4.0),
         python3-setuptools (<= 39.1.0),
         python3-six (>= 1.10.0),
         python3-termcolor (>= 1.1.0),
         python3-wheel (>= 0.26)
Section: contrib/python
Description: Computation using data flow graphs for machine learning (Python 3)
 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.
