addressed all issues given to my pull request

theano/tensor/__init__.py

@@ -22,7 +22,7 @@ random = RandomStreams(seed=0xBAD5EED)
 """Imitate the numpy.random symbol with a tensor.random one"""
 
 from elemwise import \
-    DimShuffle, Elemwise, CAReduce, Any, All
+    DimShuffle, Elemwise, CAReduce
 
 import sharedvar  # adds shared-variable constructors
 
@@ -51,11 +51,4 @@ def shared(*args, **kw):
 import nnet  # used for softmax, sigmoid, etc.
 
 
-def any(x, axis=None):
-    return Any(axis)(x)
-
-
-def all(x, axis=None):
-    return All(axis)(x)
-
 from tensor_grad import Rop, Lop, grad, numeric_grad, verify_grad

theano/tensor/basic.py

@@ -5531,8 +5531,17 @@ def tensordot(x, y=None, axes=2):
 
 #TODO: tensordot should be function as described in rst docs.
 
+
 def outer(x, y):
     """Return vector-vector outer product."""
     return dot(
             x.dimshuffle(0, 'x'),
             y.dimshuffle('x', 0))
+
+
+def any(x, axis=None):
+    return elemwise.Any(axis)(x)
+
+
+def all(x, axis=None):
+    return elemwise.All(axis)(x)

theano/tensor/elemwise.py

@@ -1259,13 +1259,14 @@ for(int i=0;i<%(iname)s->nd;i++){
 
 
 class All(CAReduce):
-    """
-    Equivalent to numpy any
+    """ Applies `bitwise and` to all the values of a tensor along the
+    specified axis(es).
 
-    TODO: elaborate
+    Equivalent to CAReduce(scalar.and_, axis=axis)
     """
     def __init__(self, axis=None):
         CAReduce.__init__(self, scalar.and_, axis)
+
     def _output_dtype(self, idtype):
         return "int8"
 
@@ -1275,14 +1276,16 @@ class All(CAReduce):
         else:
             return "All{%s}" % ", ".join(map(str, self.axis))
 
+
 class Any(CAReduce):
-    """
-    Equivalent to numpy any
+    """ Applies `bitwise or` to all the values of a tensor along the
+    specified axis(es).
 
-    TODO: elaborate
+    Equivalent to CAReduce(scalar.or_, axis=axis)
     """
     def __init__(self, axis=None):
         CAReduce.__init__(self, scalar.or_, axis)
+
     def _output_dtype(self, idtype):
         return "int8"
 
@@ -1293,7 +1296,6 @@ class Any(CAReduce):
             return "Any{%s}" % ", ".join(map(str, self.axis))
 
 
-
 class Sum(CAReduce):
     """
     Sums all the values of a tensor along the specified axis(es).

theano/tensor/tests/test_elemwise.py

@@ -312,6 +312,10 @@ class test_CAReduce(unittest.TestCase):
                              test_nan=True)
             self.with_linker(gof.PerformLinker(), minimum, dtype=dtype,
                              test_nan=True)
+            self.with_linker(gof.PerformLinker(), or_, dtype=dtype,
+                             test_nan=True)
+            self.with_linker(gof.PerformLinker(), and_, dtype=dtype,
+                             test_nan=True)
 
     def test_c(self):
         for dtype in ["floatX", "complex64", "complex128", "int8", "uint8"]: