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fancier and more flexible (self adapting to loss_dict) console logging. Fixing multi-gpu loss reduce
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@@ -103,6 +103,7 @@
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// TENSORBOARD and LOGGING
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"print_step": 25, // Number of steps to log traning on console.
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"print_eval": false, // If True, it prints loss values in evalulation.
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"save_step": 10000, // Number of training steps expected to save traninpg stats and checkpoints.
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"checkpoint": true, // If true, it saves checkpoints per "save_step"
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"tb_model_param_stats": false, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
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