ConvBnReLU2d
class torch.ao.nn.intrinsic.qat.ConvBnReLU2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=None, padding_mode='zeros', eps=1e-05, momentum=0.1, freeze_bn=False, qconfig=None)
A ConvBnReLU2d module is a module fused from Conv2d, BatchNorm2d
   and ReLU, attached with FakeQuantize modules for weight, used in
   quantization aware training.
We combined the interface of "torch.nn.Conv2d" and
   "torch.nn.BatchNorm2d" and "torch.nn.ReLU".
Similar to torch.nn.Conv2d, with FakeQuantize modules initialized
   to default.
Variables:
      weight_fake_quant -- fake quant module for weight