SUSE Package Hub 15 SP3 one-click install Install tensorflow_1_15_4-gnu-openmpi2-hpc NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP3-Backports-Pool Package Hub 15 SP3 Dummy repo - this will fail tensorflow_1_15_4-gnu-openmpi2-hpc A framework used for deep learning This open source software library for numerical computation is used for 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 in a desktop, server, or mobile device without rewriting code. SUSE Package Hub 15 SP3 one-click install Install tensorflow_1_15_4-gnu-openmpi2-hpc NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled. See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension If the extension is not enabled, this installation will fail while trying to enable an invalid repo. This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered. SUSE-PackageHub-15-SP3-Backports-Pool Package Hub 15 SP3 Dummy repo - this will fail tensorflow_1_15_4-gnu-openmpi2-hpc A framework used for deep learning This open source software library for numerical computation is used for 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 in a desktop, server, or mobile device without rewriting code.