diff --git a/complexLayers.py b/complexLayers.py
index 5afd606..e223aab 100755
--- a/complexLayers.py
+++ b/complexLayers.py
@@ -13,7 +13,7 @@
 from torch.nn import Module, Parameter, init
 from torch.nn import Conv2d, Linear, BatchNorm1d, BatchNorm2d
 from torch.nn import ConvTranspose2d
-from complexFunctions import complex_relu, complex_max_pool2d
+from complexFunctions import complex_relu, complex_max_pool2d, complex_avg_pool2d
 from complexFunctions import complex_dropout, complex_dropout2d
 
 def apply_complex(fr, fi, input):
@@ -59,6 +59,25 @@ def forward(self,input):
                                 stride = self.stride, padding = self.padding,
                                 dilation = self.dilation, ceil_mode = self.ceil_mode,
                                 return_indices = self.return_indices)
+    
+
+class ComplexAvgPool2d(Module):
+
+    def __init__(self,kernel_size, stride= None, padding = 0,
+                 dilation = 1, return_indices = False, ceil_mode = False):
+        super(ComplexAvgPool2d,self).__init__()
+        self.kernel_size = kernel_size
+        self.stride = stride
+        self.padding = padding
+        self.dilation = dilation
+        self.ceil_mode = ceil_mode
+        self.return_indices = return_indices
+
+    def forward(self,input):
+        return complex_avg_pool2d(input,kernel_size = self.kernel_size,
+                                stride = self.stride, padding = self.padding,
+                                dilation = self.dilation, ceil_mode = self.ceil_mode,
+                                return_indices = self.return_indices)
 
 class ComplexReLU(Module):