added loggers

pytorch_lightning/logging/neptune.py

@@ -93,7 +93,7 @@ class NeptuneLogger(LightningLoggerBase):
             trainer = Trainer(max_epochs=10, logger=neptune_logger)
 
         Args:
-            api_key (str|None): Required in online mode. Neputne API token, found on https://neptune.ml.
+            api_key (str | None): Required in online mode. Neputne API token, found on https://neptune.ml.
                 Read how to get your API key https://docs.neptune.ml/python-api/tutorials/get-started.html#copy-api-token.
             project_name (str): Required in online mode. Qualified name of a project in a form of
                "namespace/project_name" for example "tom/minst-classification".

pytorch_lightning/logging/tensorboard.py

@@ -11,12 +11,15 @@ from .base import LightningLoggerBase, rank_zero_only
 
 
 class TensorBoardLogger(LightningLoggerBase):
-    r"""Log to local file system in TensorBoard format
+    r"""
+
+    Log to local file system in TensorBoard format
 
     Implemented using :class:`torch.utils.tensorboard.SummaryWriter`. Logs are saved to
     `os.path.join(save_dir, name, version)`
 
-    :example:
+    Example
+    --------
 
     .. code-block:: python
 
@@ -24,11 +27,12 @@ class TensorBoardLogger(LightningLoggerBase):
         trainer = Trainer(logger=logger)
         trainer.train(model)
 
-    :param str save_dir: Save directory
-    :param str name: Experiment name. Defaults to "default".
-    :param int version: Experiment version. If version is not specified the logger inspects the save
+    Args:
+        save_dir (str): Save directory
+        name (str): Experiment name. Defaults to "default".
+        version (int): Experiment version. If version is not specified the logger inspects the save
         directory for existing versions, then automatically assigns the next available version.
-    :param \**kwargs: Other arguments are passed directly to the :class:`SummaryWriter` constructor.
+        \**kwargs  (dict): Other arguments are passed directly to the :class:`SummaryWriter` constructor.
 
     """
     NAME_CSV_TAGS = 'meta_tags.csv'

pytorch_lightning/logging/test_tube.py

@@ -38,6 +38,33 @@ from .base import LightningLoggerBase, rank_zero_only
 
 
 class TestTubeLogger(LightningLoggerBase):
+    r"""
+
+    Log to local file system in TensorBoard format but using a nicer folder structure.
+
+    Implemented using :class:`torch.utils.tensorboard.SummaryWriter`. Logs are saved to
+    `os.path.join(save_dir, name, version)`
+
+    Example
+    --------
+
+    .. code-block:: python
+
+        logger = TestTubeLogger("tt_logs", name="my_exp_name")
+        trainer = Trainer(logger=logger)
+        trainer.train(model)
+
+    Args:
+        save_dir (str): Save directory
+        name (str): Experiment name. Defaults to "default".
+        description (str): A short snippet about this experiment
+        debug (bool): If True, it doesn't log anything
+        version (int): Experiment version. If version is not specified the logger inspects the save
+        directory for existing versions, then automatically assigns the next available version.
+        create_git_tag (bool): If True creates a git tag to save the code used in this experiment
+
+    """
+
     __test__ = False
 
     def __init__(