ConvReLU2d — PyTorch 2.7 documentation (original) (raw)

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class torch.ao.nn.intrinsic.qat.ConvReLU2d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', qconfig=None)[source][source]¶

A ConvReLU2d module is a fused module of Conv2d and ReLU, attached with FakeQuantize modules for weight for quantization aware training.

We combined the interface of Conv2d andBatchNorm2d.

Variables

weight_fake_quant – fake quant module for weight

• ConvReLU2d
  • ConvReLU2d