tensorboard 2.6.0 on conda - Libraries.io
libraries.io › conda › tensorboardTensorBoard reads data from a full directory, and organizes it into the history of a single TensorFlow execution. Why does it read the whole directory, rather than an individual file? You might have been using supervisor.py to run your model, in which case if TensorFlow crashes, the supervisor will restart it from a checkpoint.