Merge pull request #167 from inferno-pytorch/constantinpape-patch-1

Update tensorboard.py

inferno/trainers/callbacks/logging/tensorboard.py

@@ -36,9 +36,9 @@ def __init__(self, log_directory=None,
         log_scalars_every : str or tuple or inferno.utils.train_utils.Frequency
             How often scalars should be logged to Tensorboard. By default, once every iteration.
         log_images_every : str or tuple or inferno.utils.train_utils.Frequency
-            How often images should be logged to Tensorboard. By default, once every iteration.
+            How often images should be logged to Tensorboard. By default, once every epoch.
         log_histograms_every : str or tuple or inferno.utils.train_utils.Frequency
-            How often histograms should be logged to Tensorboard. By default, once every iteration.
+            How often histograms should be logged to Tensorboard. By default, never.
         send_image_at_batch_indices : list or str
             The indices of the batches to be logged. An `image_batch` usually has the shape
             (num_samples, num_channels, num_rows, num_cols). By setting this argument to say
@@ -108,7 +108,7 @@ def log_scalars_now(self):
     @property
     def log_images_every(self):
         if self._log_images_every is None:
-            self._log_images_every = tru.Frequency(1, 'iterations')
+            self._log_images_every = tru.Frequency(1, 'epochs')
         return self._log_images_every
 
     @log_images_every.setter
@@ -126,7 +126,7 @@ def log_images_now(self):
     @property
     def log_histograms_every(self):
         if self._log_histograms_every is None:
-            self._log_histograms_every = tru.Frequency(1, 'iterations')
+            self._log_histograms_every = tru.Frequency('never')
         return self._log_histograms_every
 
     @log_histograms_every.setter