code: def test_sampled_softmax_can_run(self):
      softmax = SampledSoftmaxLoss(
          num_words=1000, embedding_dim=12, num_samples=50
      )
  
      # sequence_length, embedding_dim
      embedding = torch.rand(100, 12)
      targets = torch.randint(0, 1000, (100,)).long()
  
      _ = softmax(embedding, targets)
  
file_path: allennlp/tests/modules/sampled_softmax_loss_test.py
imports: from typing import Tuple
  import torch
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.sampled_softmax_loss import _choice, SampledSoftmaxLoss
  from allennlp.modules import SoftmaxLoss
label_desc: Use image node_id 2 for calling the TestSampledSoftmaxLoss obj's underlying member method code with example usage: obj.test_sampled_softmax_can_run() without return types