don’t use sequential method for that.
import torch.nn as nn
import torch.nn.functional as F

class Model(nn.Module):
def __init__(self):
    super(Model, self).__init__()
    self.conv1 = nn.Conv2d(1, 20, 5)
    self.conv2 = nn.Conv2d(20, 20, 5)

def forward(self, x):
   x = F.relu(self.conv1(x))
   return F.relu(self.conv2(x))

Use this method for printing output of each layer.