docstr: Resnext50_32x4d tensor shapes should match torchvision.
docstr_tok: ["Resnext50_32x4d","tensor","shapes","should","match","torchvision","."]
code: def test_resnext50_32x4d(self):
      """Resnext50_32x4d tensor shapes should match torchvision."""
      self.assert_tensor_sizes_match_torchvision("resnext50_32x4d")
  
imports: import collections
  import unittest
  import torch
  import torchvision.models
  from classy_vision.generic.util import get_torch_version
  from classy_vision.models import build_model, ResNeXt
  from test.generic.utils import compare_model_state
label_desc: Use image node_id 6 for calling the TestTorchvisionEquivalence obj's underlying member method code with example usage: obj.test_resnext50_32x4d() without return types