update

tensorpack/dataflow/imgaug/imgproc.py

@@ -18,7 +18,8 @@ class Hue(PhotometricAugmentor):
     def __init__(self, range=(0, 180), rgb=True):
         """
         Args:
-            range(list or tuple): range from which the applied hue offset is selected (maximum [-90,90] or [0,180])
+            range(list or tuple): range from which the applied hue offset is selected
+                (maximum range can be [-90,90] for both uint8 and float32)
             rgb (bool): whether input is RGB or BGR.
         """
         super(Hue, self).__init__()

tensorpack/predict/base.py

@@ -7,7 +7,7 @@
 import tensorflow as tf
 
 from ..input_source import PlaceholderInput
-from ..tfutils.common import get_tensors_by_names
+from ..tfutils.common import get_tensors_by_names, get_op_tensor_name
 from ..tfutils.tower import PredictTowerContext
 
 __all__ = ['PredictorBase',
@@ -34,6 +34,9 @@ def __call__(self, *dp):
             .. code-block:: python
 
                 predictor(e1, e2)
+
+        Returns:
+            list[array]: list of outputs
         """
         output = self._do_call(dp)
         if self.return_input:
@@ -98,9 +101,14 @@ def __init__(self, input_tensors, output_tensors,
                 will use the default session at the first call.
                 Note that in TensorFlow, default session is thread-local.
         """
+        def normalize_name(t):
+            if isinstance(t, six.string_types):
+                return get_op_tensor_name(t)[1]
+            return t
+
         self.return_input = return_input
-        self.input_tensors = input_tensors
-        self.output_tensors = output_tensors
+        self.input_tensors = [normalize_name(x) for x in input_tensors]
+        self.output_tensors = [normalize_name(x) for x in output_tensors]
         self.sess = sess
 
         if sess is not None:

tensorpack/train/trainers.py

@@ -396,8 +396,7 @@ def __init__(self, average=True, compression=None):
             compression: `hvd.Compression.fp16` or `hvd.Compression.none`
         """
         if 'pyarrow' in sys.modules:
-            logger.warn("Horovod and pyarrow may conflict due to pyarrow bugs. "
-                        "Uninstall pyarrow and use msgpack instead.")
+            logger.warn("Horovod and pyarrow may conflict due to pyarrow bugs.")
         # lazy import
         import horovod.tensorflow as hvd
         import horovod