Hi @Midhilesh,
What I understand from ConvReLU2d() is that it just converts from
Conv2d()-> ReLU()  to something like ReLU(Conv2d()) .
However, there is no BatchNorm2d here, if you want to fuse even the BatchNorm layer, you could use this ConvBnReLU2d() .
You will find more info from the quantization doc https://pytorch.org/docs/stable/quantization.html#torch.nn.intrinsic.ConvReLU2d 103