Merge branch 'update_doc'

funkelab · Apr 11, 2018 · 77c9189 · 77c9189
2 parents fb81388 + fb456eb
commit 77c9189
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Showing 3 changed files with 9 additions and 9 deletions.
diff --git a/gunpowder/nodes/rasterize_points.py b/gunpowder/nodes/rasterize_points.py
@@ -86,18 +86,18 @@ class RasterizePoints(BatchFilter):
 
     Args:
 
-        points (:class:``PointsKeys``):
+        points (:class:`PointsKeys`):
             The key of the points to rasterize.
 
-        array (:class:``ArrayKey``):
+        array (:class:`ArrayKey`):
             The key of the binary array to create.
 
-        array_spec (:class:``ArraySpec``, optional):
+        array_spec (:class:`ArraySpec`, optional):
 
             The spec of the array to create. Use this to set the datatype and
             voxel size.
 
-        settings (:class:``RasterizationSettings``, optional):
+        settings (:class:`RasterizationSettings`, optional):
             Which settings to use to rasterize the points.
     '''
 

diff --git a/gunpowder/tensorflow/nodes/predict.py b/gunpowder/tensorflow/nodes/predict.py
@@ -19,12 +19,12 @@ class Predict(GenericPredict):
             and associated tensor values and metadata, as created by
             :class:`gunpowder.nodes.Train`, for example.
 
-        inputs (``dict``, ``string`` -> :class:``ArrayKey``):
+        inputs (``dict``, ``string`` -> :class:`ArrayKey`):
 
             Dictionary from the names of input tensors in the network to
             array keys.
 
-        outputs (``dict``, ``string`` -> :class:``ArrayKey``):
+        outputs (``dict``, ``string`` -> :class:`ArrayKey`):
 
             Dictionary from the names of output tensors in the network to array
             keys. New arrays will be generated by this node for each entry (if

diff --git a/gunpowder/tensorflow/nodes/train.py b/gunpowder/tensorflow/nodes/train.py
@@ -56,18 +56,18 @@ def add_custom_optimizer(graph):
             The name of the tensorflow tensor containing the loss, or ``None``
             if ``optimizer`` is a function.
 
-        inputs (``dict``, ``string`` -> :class:``ArrayKey``):
+        inputs (``dict``, ``string`` -> :class:`ArrayKey`):
 
             Dictionary from the names of input tensors in the network to
             array keys.
 
-        outputs (``dict``, ``string`` -> :class:``ArrayKey``):
+        outputs (``dict``, ``string`` -> :class:`ArrayKey`):
 
             Dictionary from the names of output tensors in the network to array
             keys. New arrays will be generated by this node for each entry (if
             requested downstream).
 
-        gradients (``dict``, ``string`` -> :class:``ArrayKey``):
+        gradients (``dict``, ``string`` -> :class:`ArrayKey`):
 
             Dictionary from the names of output tensors in the network to
             array keys. New arrays containing the gradient of an output with