Source: tensorflow Section: science Priority: optional Maintainer: Debian Deep Learning Team Uploaders: Dylan Aïssi , Bardia Moshiri 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.