diff --git a/op/fused_act.py b/op/fused_act.py
index 5d46e10..bc522ed 100755
--- a/op/fused_act.py
+++ b/op/fused_act.py
@@ -1,5 +1,3 @@
-import os
-
 import torch
 from torch import nn
 from torch.nn import functional as F
@@ -7,16 +5,6 @@ from torch.autograd import Function
 from torch.utils.cpp_extension import load
 
 
-module_path = os.path.dirname(__file__)
-fused = load(
-    "fused",
-    sources=[
-        os.path.join(module_path, "fused_bias_act.cpp"),
-        os.path.join(module_path, "fused_bias_act_kernel.cu"),
-    ],
-)
-
-
 class FusedLeakyReLUFunctionBackward(Function):
     @staticmethod
     def forward(ctx, grad_output, out, bias, negative_slope, scale):
diff --git a/op/upfirdn2d.py b/op/upfirdn2d.py
index 67e0375..6c5840e 100755
--- a/op/upfirdn2d.py
+++ b/op/upfirdn2d.py
@@ -1,5 +1,4 @@
 from collections import abc
-import os
 
 import torch
 from torch.nn import functional as F
@@ -7,16 +6,6 @@ from torch.autograd import Function
 from torch.utils.cpp_extension import load
 
 
-module_path = os.path.dirname(__file__)
-upfirdn2d_op = load(
-    "upfirdn2d",
-    sources=[
-        os.path.join(module_path, "upfirdn2d.cpp"),
-        os.path.join(module_path, "upfirdn2d_kernel.cu"),
-    ],
-)
-
-
 class UpFirDn2dBackward(Function):
     @staticmethod
     def forward(