Hi friends:
I have a question. Suppose I have a model which contains batch norm layers. Then， due to some tasks’ requirements, I need to get the batch norm layers’ running_var and running_mean at the end of training or evaluation process.
for example, here is a simple code:
    class Net(nn.Module):
        def __init__(self):
            super().__init__()
            self.conv1 = nn.Conv2d(in_channels = in_channels, out_channels = out_channels,
                        kernel_size = 3, padding=1, bias = False)
            self.bn = nn.BatchNorm2d(out_channels)

        def forward(self, x):
            x = self.conv1(x)
            x = self.bn(x)
            return x
    
    my_net = Net()

I want to get my_net’s running var and running_mean of batch norm layers, how should I do? Thank you!!!