adapt input_numpy to row major

contrib/Python/cntk/ops/__init__.py

@@ -959,6 +959,8 @@ def input_numpy(value, alias=None, dynamic_axis='', name=None):
         if len(cntk_shape) == 0:
             raise ValueError('value should be an array of input samples')
             
+        # cntk uses column major, thus we reverse the shape
+        cntk_shape = tuple(reversed(cntk_shape))
         node = input(cntk_shape, dynamic_axis=dynamic_axis, name=name)
         from ..reader import LazyInputReader
         node.reader = LazyInputReader(

contrib/Python/cntk/utils/__init__.py

@@ -104,7 +104,7 @@ def with_metaclass(meta, *bases):
 
 
 def dense_to_str(data):
-    return ' '.join(data.ravel(order='F').astype(np.str))
+    return ' '.join(data.ravel(order='C').astype(np.str))
 
 
 def sparse_to_str(data):