ConvReLU3d

class torch.nn.intrinsic.qat.ConvReLU3d(in_channels, out_channels, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True, padding_mode='zeros', qconfig=None)

A ConvReLU3d module is a fused module of Conv3d and ReLU, attached with FakeQuantize modules for weight for quantization aware training.

We combined the interface of Conv3d and BatchNorm3d.

Variables:

weight_fake_quant – fake quant module for weight