ConvReLU2d

class torch.ao.nn.intrinsic.quantized.ConvReLU2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', device=None, dtype=None)

A ConvReLU2d module is a fused module of Conv2d and ReLU

We adopt the same interface as torch.ao.nn.quantized.Conv2d.

Variables

torch.ao.nn.quantized.Conv2d (Same as) –