small fix on docs

tensorpack/callbacks/param.py

@@ -165,7 +165,7 @@ class ScheduledHyperParamSetter(HyperParamSetter):
     def __init__(self, param, schedule, interp=None):
         """
         :param schedule: [(epoch1, val1), (epoch2, val2), (epoch3, val3), ...]
-            (ep, val) means set the param to `val` after the `ep`th epoch.
+            (ep, val) means set the param to "val" after the `ep`th epoch.
             If epoch == 0, the value is set before training.
         :param interp: None: no interpolation. 'linear': linear interpolation
         """

tensorpack/models/__init__.py

@@ -27,8 +27,8 @@ for _, module_name, _ in walk_packages(
 
 
 class LinearWrap(object):
-    """ A simple wrapper to easily create linear graph,
-        for layers with one input&output, or tf function with one input&output
+    """ A simple wrapper to easily create "linear" graph,
+        consisting of layers / symbolic functions with only one input & output.
     """
 
     class TFModuleFunc(object):

tensorpack/models/shapes.py

@@ -14,8 +14,8 @@ def ConcatWith(x, dim, tensor):
     A wrapper around `tf.concat` to support `LinearWrap`
     :param x: the input tensor
     :param dim: the dimension along which to concatenate
-    :param tensor: a tensor or list of tensor to concatenate with x. x will be
-        at the beginning
+    :param tensor: a tensor or list of tensor to concatenate with x.
+    x will be at the beginning
     :return: tf.concat(dim, [x] + [tensor])
     """
     if type(tensor) != list:

tensorpack/utils/logger.py

@@ -10,7 +10,7 @@ from datetime import datetime
 from six.moves import input
 import sys
 
-__all__ = []
+__all__ = ['set_logger_dir', 'disable_logger', 'auto_set_dir', 'warn_dependency']
 
 class _MyFormatter(logging.Formatter):
     def format(self, record):