ConvReLU3d
class torch.ao.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