Merge pull request #2093 from nouiz/doc

doc/library/config.txt

@@ -188,7 +188,7 @@ import theano and print the config variable, as in:
 
     String value: either 'ignore', 'warn', 'raise' or 'pdb'
 
-    Default: 'float64'
+    Default: 'ignore'
 
     When creating a TensorVariable with dtype float64, what should be done?
     This is useful to help find upcast to float64 in user code.

theano/gof/op.py

@@ -663,7 +663,10 @@ class Op(utils.object2, PureOp, CLinkerOp):
             if len(self.__props__) == 0:
                 return "%s" % (self.__class__.__name__,)
             else:
-                return "%s{%s}" % (self.__class__.__name__, ", ".join("%s=%r" % (p, getattr(self, p)) for p in self.__props__))
+                return "%s{%s}" % (
+                    self.__class__.__name__,
+                    ", ".join("%s=%r" % (p, getattr(self, p))
+                              for p in self.__props__))
         else:
             return super(Op, self).__str__()
 

theano/sandbox/cuda/blas.py

@@ -852,8 +852,11 @@ class GpuCorrMM(BaseGpuCorrMM):
 class GpuCorrMM_gradWeights(BaseGpuCorrMM):
     """Gradient wrt. filters for `GpuCorrMM`.
 
-    :note: You will not want to use this directly, but rely on Theano's
-    automatic differentiation or graph optimization to use it as needed."""
+    :note: You will not want to use this directly, but rely on
+           Theano's automatic differentiation or graph optimization to
+           use it as needed.
+
+    """
 
     def __init__(self, border_mode="valid",
             subsample=(1, 1),
@@ -906,8 +909,11 @@ class GpuCorrMM_gradWeights(BaseGpuCorrMM):
 class GpuCorrMM_gradInputs(BaseGpuCorrMM):
     """Gradient wrt. inputs for `GpuCorrMM`.
 
-    :note: You will not want to use this directly, but rely on Theano's
-    automatic differentiation or graph optimization to use it as needed."""
+    :note: You will not want to use this directly, but rely on
+           Theano's automatic differentiation or graph optimization to
+           use it as needed.
+
+    """
 
     def __init__(self, border_mode="valid",
             subsample=(1, 1),

theano/tensor/slinalg.py

@@ -155,7 +155,7 @@ class Solve(Op):
         self.overwrite_b = overwrite_b
 
     def __repr__(self):
-        return 'Solve{%s}' % str(self.props())
+        return 'Solve{%s}' % str(self._props())
 
     def make_node(self, A, b):
         assert imported_scipy, (