[tune] Sync logs from workers and improve tensorboard reporting (#1567)

python/ray/tune/trainable.py

@@ -13,6 +13,7 @@ import tempfile
 import time
 import uuid
 
+import ray
 from ray.tune import TuneError
 from ray.tune.logger import UnifiedLogger
 from ray.tune.result import DEFAULT_RESULTS_DIR
@@ -87,6 +88,7 @@ class Trainable(object):
         self._timesteps_total = 0
         self._setup()
         self._initialize_ok = True
+        self._local_ip = ray.services.get_node_ip_address()
 
     def train(self):
         """Runs one logical iteration of training.
@@ -136,6 +138,7 @@ class Trainable(object):
             neg_mean_loss=neg_loss,
             pid=os.getpid(),
             hostname=os.uname()[1],
+            node_ip=self._local_ip,
             config=self.config)
 
         self._result_logger.on_result(result)