class_docstr: A convex combination of regularizers.
class_docstr_tok: ["A","convex","combination","of","regularizers","."]
code: def forward(
      self, x: torch.FloatTensor
  ) -> torch.FloatTensor:  # noqa: D102
      return self.normalization_factor * sum(
          r.weight * r.forward(x) for r in self.regularizers
      )
  
imports: from __future__ import annotations
  import warnings
  from abc import ABC, abstractmethod
  from typing import Any, ClassVar, Iterable, Mapping, Optional
  import torch
  from class_resolver import ClassResolver, normalize_string
  from torch import nn
  from torch.nn import functional
  from .utils import lp_norm, powersum_norm
label_desc: Use image node_id 3 for calling the CombinedRegularizer obj's underlying member method code with example usage: obj.forward(x) and returns: unknown