Allow metrics logged together with hparams (#1630)

Update tensorboard.py

Update CHANGELOG.md

Update tensorboard.py

Update test_tensorboard.py

Update test_tensorboard.py

tests pep8

CHANGELOG.md

@@ -9,6 +9,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 ### Added
 
 ### Changed
+ 
+- Allow logging of metrics togther with hparams ([#1630](https://github.com/PyTorchLightning/pytorch-lightning/pull/1630))
 
 ### Deprecated
 

pytorch_lightning/loggers/tensorboard.py

@@ -101,7 +101,8 @@ class TensorBoardLogger(LightningLoggerBase):
         return self._experiment
 
     @rank_zero_only
-    def log_hyperparams(self, params: Union[Dict[str, Any], Namespace]) -> None:
+    def log_hyperparams(self, params: Union[Dict[str, Any], Namespace],
+                        metrics: Optional[Dict[str, Any]] = None) -> None:
         params = self._convert_params(params)
         params = self._flatten_dict(params)
         sanitized_params = self._sanitize_params(params)
@@ -114,7 +115,9 @@ class TensorBoardLogger(LightningLoggerBase):
             )
         else:
             from torch.utils.tensorboard.summary import hparams
-            exp, ssi, sei = hparams(sanitized_params, {})
+            if metrics is None:
+                metrics = {}
+            exp, ssi, sei = hparams(sanitized_params, metrics)
             writer = self.experiment._get_file_writer()
             writer.add_summary(exp)
             writer.add_summary(ssi)

tests/loggers/test_tensorboard.py

@@ -77,3 +77,19 @@ def test_tensorboard_log_hyperparams(tmpdir):
         "layer": torch.nn.BatchNorm1d
     }
     logger.log_hyperparams(hparams)
+
+
+def test_tensorboard_log_hparams_and_metrics(tmpdir):
+    logger = TensorBoardLogger(tmpdir)
+    hparams = {
+        "float": 0.3,
+        "int": 1,
+        "string": "abc",
+        "bool": True,
+        "dict": {'a': {'b': 'c'}},
+        "list": [1, 2, 3],
+        "namespace": Namespace(foo=Namespace(bar='buzz')),
+        "layer": torch.nn.BatchNorm1d
+    }
+    metrics = {'abc': torch.tensor([0.54])}
+    logger.log_hyperparams(hparams, metrics)