Description
Machine-learning applications can link against TensorFlow data-flow graph libraries with CUDA-enabled shared libraries and headers. It installs libraries, headers, package metadata, or Python modules from a git build; training data, models, GPU memory use, and generated outputs are controlled by the calling project.