ConvBnRelu2d

class ConvBnRelu2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, conv_mode='cross_correlation', compute_mode='default', eps=1e-5, momentum=0.9, affine=True, track_running_stats=True, padding_mode='zeros', **kwargs)

A fused Module including Conv2d, BatchNorm2d and relu. Could be replaced with QATModule version ConvBnRelu2d using quantize_qat.