Sure, the model is as defined below:
class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.conv1 = nn.Conv2d(3, 64, 8, stride=3, padding=3) ##11x11x64
        self.conv1_bn = nn.BatchNorm2d(64)
        
        self.conv2 = nn.Conv2d(64, 128, 8, stride=4,padding=10) ##7x7x128
        self.conv2_bn = nn.BatchNorm2d(128)
        
        self.conv3 = nn.Conv2d(128, 256, 8, stride=3,padding=0) ##1x1x256
        self.conv3_bn = nn.BatchNorm2d(256)
        
        self.conv1x1 = nn.Conv2d(256, 10, 1) ##1x1x10
        

    def forward(self, x):
        x = self.conv1_bn(F.elu(self.conv1(x)))
        x = self.conv2_bn(F.elu(self.conv2(x)))
        x = F.dropout(x)
        x = self.conv3_bn(F.elu(self.conv3(x)))
        x = F.dropout(x)

        x = F.dropout(self.conv1x1(x))
        
        x.view(x.size()[0], -1)

        return F.log_softmax(x)