def _init_parameter()

in classy_vision/models/resnext3d.py [0:0]


    def _init_parameter(self, zero_init_residual_transform):
        for m in self.modules():
            if isinstance(m, nn.Conv3d):
                if (
                    hasattr(m, "final_transform_op")
                    and m.final_transform_op
                    and zero_init_residual_transform
                ):
                    nn.init.constant_(m.weight, 0)
                else:
                    nn.init.kaiming_normal_(
                        m.weight, mode="fan_out", nonlinearity="relu"
                    )
                if m.bias is not None:
                    nn.init.constant_(m.bias, 0)
            elif isinstance(m, nn.BatchNorm3d) and m.affine:
                if (
                    hasattr(m, "final_transform_op")
                    and m.final_transform_op
                    and zero_init_residual_transform
                ):
                    batchnorm_weight = 0.0
                else:
                    batchnorm_weight = 1.0
                nn.init.constant_(m.weight, batchnorm_weight)
                nn.init.constant_(m.bias, 0)
            elif isinstance(m, nn.Linear):
                nn.init.normal_(m.weight, mean=0.0, std=0.01)
                nn.init.constant_(m.bias, 0)