code: def drop_column_perturb(inp: Tensor, column: int) -> Tensor:
      mask = torch.ones_like(inp)
      mask[:, column] = 0.0
      return mask * inp
  
imports: import collections
  from typing import List
  import torch
  from captum.robust import AttackComparator, FGSM
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel, BasicModel_MultiLayer
  from torch import Tensor
label_desc: Use image node_id 3 for calling a global function with example usage: drop_column_perturb(inp, column) and returns: unknown