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This repository has been archived by the owner on Jan 5, 2023. It is now read-only.
You will need to install the actual TensorBoard server which is shipped within Tensorflow in order to launch the visualization server.
Once the dependencies are installed, you need to define a log directory for TensorBoard in the configuration file of your experiment to enable TensorBoard logging. The logging frequency is the same as terminal logging frequency, defined by train.disp_freq option (default: 30 batches).