dc83da1abf2009c36603af3fa5c719cbccd10d59,models/resnext.py,ResNeXtBottleneck,__init__,#ResNeXtBottleneck#Any#Any#Any#Any#Any#,19

Before Change

        super().__init__(inplanes, planes, stride, downsample)

        mid_planes = cardinality * planes // 32
        self.conv1 = nn.Conv3d(inplanes, mid_planes, kernel_size=1, bias=False)
        self.bn1 = nn.BatchNorm3d(mid_planes)
        self.conv2 = nn.Conv3d(
            mid_planes,
            mid_planes,
            kernel_size=3,
            stride=stride,
            padding=1,
            groups=cardinality,
            bias=False)
        self.bn2 = nn.BatchNorm3d(mid_planes)
        self.conv3 = nn.Conv3d(
            mid_planes, planes * self.expansion, kernel_size=1, bias=False)


class ResNeXt(resnet.ResNet):

After Change

            groups=cardinality,
            bias=False)
        self.bn2 = nn.BatchNorm3d(mid_planes)
        self.conv3 = conv1x1x1(mid_planes, planes * self.expansion)


class ResNeXt(ResNet):

Instances