Using batchnorm in FC layers

Could you please guide me on how to use batchnorm with FC layers as in my case it gives the same output value for different inputs?

If you add a BatchNorm layer into your model, your output will always be the same, even if you use different inputs?
Could you provide a small working example?
In general, you just have to add a BatchNorm layer between your linear layers:

model = nn.Sequential(
    nn.Linear(10, 20),
    nn.Linear(20, 2)

batch_size = 20
x = torch.randn(batch_size, 10)
output = model(x)

Found my mistake, anyways thanks for your effort.