diff --git a/pystencils/backends/opencl_backend.py b/pystencils/backends/opencl_backend.py
index d2e40a69f05fe1181fc41110ca9a1b07763a75be..4217e9384644d86db7c225c0bd092c9fac7f1558 100644
--- a/pystencils/backends/opencl_backend.py
+++ b/pystencils/backends/opencl_backend.py
@@ -81,7 +81,10 @@ class OpenClSympyPrinter(CudaSympyPrinter):
     # For math functions, OpenCL is more similar to the C++ printer CustomSympyPrinter
     # since built-in math functions are generic.
     # In CUDA, you have to differentiate between `sin` and `sinf`
-    _print_math_func = CustomSympyPrinter._print_math_func
+    try:
+        _print_math_func = CustomSympyPrinter._print_math_func
+    except AttributeError:
+        pass
     _print_Pow = CustomSympyPrinter._print_Pow
 
     def _print_Function(self, expr):
diff --git a/pystencils/opencl/opencljit.py b/pystencils/opencl/opencljit.py
index 75076db53bd8dd37457fc4bb9c9dea833942d57f..f1df02936b035d178eed91f1c4ed2fd05a31e44c 100644
--- a/pystencils/opencl/opencljit.py
+++ b/pystencils/opencl/opencljit.py
@@ -41,8 +41,12 @@ def make_python_function(kernel_function_node, opencl_queue, opencl_ctx, argumen
     code += str(generate_c(kernel_function_node, dialect='opencl', custom_backend=custom_backend))
     options = []
     if USE_FAST_MATH:
-        options.append("-cl-unsafe-math-optimizations -cl-mad-enable -cl-fast-relaxed-math -cl-finite-math-only")
-    options.append("-I \"" + get_pystencils_include_path() + "\"")
+        options.append("-cl-unsafe-math-optimizations")
+        options.append("-cl-mad-enable")
+        options.append("-cl-fast-relaxed-math")
+        options.append("-cl-finite-math-only")
+    options.append("-I")
+    options.append(get_pystencils_include_path())
     mod = cl.Program(opencl_ctx, code).build(options=options)
     func = getattr(mod, kernel_function_node.function_name)