Question regarding inverted residual block

[abeyang00]

Quick question regarding inverted residual block.

    if expand_ratio == 1:
        self.conv = nn.Sequential(
            # dw
            nn.Conv2d(hidden_dim, hidden_dim, 3, stride, 1, groups=hidden_dim, bias=False),
            nn.BatchNorm2d(hidden_dim),
            nn.ReLU6(inplace=True),
            # pw-linear
            nn.Conv2d(hidden_dim, oup, 1, 1, 0, bias=False),
            nn.BatchNorm2d(oup),
        )
    else:
        self.conv = nn.Sequential(
            # pw
            nn.Conv2d(inp, hidden_dim, 1, 1, 0, bias=False),
            nn.BatchNorm2d(hidden_dim),
            nn.ReLU6(inplace=True),
            # dw
            nn.Conv2d(hidden_dim, hidden_dim, 3, stride, 1, groups=hidden_dim, bias=False),
            nn.BatchNorm2d(hidden_dim),
            nn.ReLU6(inplace=True),
            # pw-linear
            nn.Conv2d(hidden_dim, oup, 1, 1, 0, bias=False),
            nn.BatchNorm2d(oup),
        )

def forward(self, x):
    if self.use_res_connect:
        return x + self.conv(x)
    else:
        return self.conv(x)

Why is there no activation at the end ?? Shouldnt it return either nn.ReLU(x + self.conv(x)) or nn.ReLU(self.conv(x)) ???

Thank you