diff --git a/pycuda/elementwise.py b/pycuda/elementwise.py
index feab0a6be89d54d72e1b6ec8759838910063a13d..695817fa7ec91fd44a9b95473a55606d110c4342 100644
--- a/pycuda/elementwise.py
+++ b/pycuda/elementwise.py
@@ -149,7 +149,7 @@ def get_elwise_kernel_and_types(arguments, operation,
     func = mod.get_function(name)
     func.prepare("".join(arg.struct_char for arg in arguments))
 
-    return func, arguments
+    return mod, func, arguments
 
 
 def get_elwise_kernel(arguments, operation,
@@ -157,7 +157,7 @@ def get_elwise_kernel(arguments, operation,
     """Return a L{pycuda.driver.Function} that performs the same scalar operation
     on one or several vectors.
     """
-    func, arguments = get_elwise_kernel_and_types(
+    mod, func, arguments = get_elwise_kernel_and_types(
             arguments, operation, name, keep, options, **kwargs)
 
     return func
@@ -171,9 +171,13 @@ class ElementwiseKernel:
         self.gen_kwargs.update(dict(keep=keep, options=options, name=name,
             operation=operation, arguments=arguments))
 
+    def get_texref(self, name, use_range=False):
+        mod, knl, arguments = self.generate_stride_kernel_and_types(use_range=use_range)
+        return mod.get_texref(name)
+
     @memoize_method
     def generate_stride_kernel_and_types(self, use_range):
-        knl, arguments = get_elwise_kernel_and_types(use_range=use_range,
+        mod, knl, arguments = get_elwise_kernel_and_types(use_range=use_range,
                 **self.gen_kwargs)
 
         assert [i for i, arg in enumerate(arguments)
@@ -181,7 +185,7 @@ class ElementwiseKernel:
                 "ElementwiseKernel can only be used with functions that " \
                 "have at least one vector argument"
 
-        return knl, arguments
+        return mod, knl, arguments
 
     def __call__(self, *args, **kwargs):
         vectors = []
@@ -195,7 +199,7 @@ class ElementwiseKernel:
                     + ", ".join(six.iterkeys(kwargs)))
 
         invocation_args = []
-        func, arguments = self.generate_stride_kernel_and_types(
+        mod, func, arguments = self.generate_stride_kernel_and_types(
                 range_ is not None or slice_ is not None)
 
         for arg, arg_descr in zip(args, arguments):