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        "author": "Paolo Galeone",
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        "description": "# Remote Tensorflow Execution (RTF)\n\nBring the power of the Tensorflow Python API to any language, using gRPC.\n\nThis repository contains the code of the RTF server and client generator.\n\n**WARNING**: experimental, unstable, WIP.\n\n## Server\n\nThe gRPC server implements the server-side protocol. It accepts the requests of function definitions and executes them.\nThe execution is left to the Python interpreter and the output is streamed back to the client.\n\n### Usage\n\nThe server waits for messages and sends back the responses.\n\n#### Requirements\n\nCompile the proto definition is required, however the `setup.py` script takes care of everything. There are 2 options\n\n1. `pip install -e .` to work in edit mode, with the compiled protobufs\n2. `pip install .` to install the package (it compiles the proto too)\n3. (future) `pip install rtf` | `pip install rtf-gpu`\n\n#### 1. Start the gRPC server\n\n```\npython -m rtf.server\n```\n\n## Client stub generation\n\nTo generate the stub of a client in `DEST_DIR` use the `rtf.generate` module.\n\n```\npython -m rtf.generate  --dest_dir DEST_DIR --module tensorflow --target Go\n\n```\n\nRight now the only generator that is going to be developed is Go.\n",
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