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Source: tensorflow
Section: science
Priority: optional
Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Uploaders: Dylan Aïssi <daissi@debian.org>,
Bardia Moshiri <bardia@furilabs.com>
Build-Depends: cmake,
debhelper-compat (= 13),
libabsl-dev,
libcpuinfo-dev (>= 0.0~git20220617.082deff-2),
libegl-dev,
libeigen3-dev,
libfarmhash-dev,
libfft2d-dev,
libflatbuffers-dev (>= 23.5.26+dfsg-3),
libfp16-dev,
libgemmlowp-dev,
libgles-dev,
libneon-2-sse-dev,
libpthreadpool-dev,
libruy-dev (>= 0.0.0~git20230215.21a85fe-2),
libvulkan-dev,
# ml-dtypes-dev,
opencl-c-headers,
Standards-Version: 4.7.2
Rules-Requires-Root: no
Vcs-Browser: https://salsa.debian.org/deeplearning-team/tensorflow
Vcs-Git: https://salsa.debian.org/deeplearning-team/tensorflow.git
Homepage: https://tensorflow.org/
Package: libtensorflow-lite2.14.1
Architecture: any
Multi-Arch: same
Section: libs
Depends: ${misc:Depends},
${shlibs:Depends}
Description: Computation using data flow graphs for scalable machine learning (shared lib)
TensorFlow is an open source software library for numerical computation
using data flow graphs. The graph nodes represent mathematical operations,
while the graph edges represent the multidimensional data arrays (tensors)
that flow between them. This flexible architecture enables you to deploy
computation to one or more CPUs or GPUs in a desktop, server, or mobile
device without rewriting code.
.
This package provides the tensorflow-lite shared library.
Package: libtensorflow-lite-dev
Architecture: any
Multi-Arch: same
Section: libdevel
Depends: libtensorflow-lite2.14.1 (= ${binary:Version}),
libflatbuffers-dev,
${misc:Depends},
${shlibs:Depends}
Description: Computation using data flow graphs for scalable machine learning (dev files)
TensorFlow is an open source software library for numerical computation
using data flow graphs. The graph nodes represent mathematical operations,
while the graph edges represent the multidimensional data arrays (tensors)
that flow between them. This flexible architecture enables you to deploy
computation to one or more CPUs or GPUs in a desktop, server, or mobile
device without rewriting code.
.
This package ships C and C++ headers files for tensorflow lite.
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