code: def test_binary_focal_loss_base(self):
      target = torch.randint(size=(5, 1), low=0, high=10)
      score = torch.randn((5, 10))
  
      # onehot encoded
      target_encode = torch.zeros_like(score)
      target_encode.scatter_(1, target, 1)
  
      config = BinaryFocalLoss.Config()
      config.gamma = 0
      config.alpha = 1
      loss_fn = BinaryFocalLoss(config=config)
  
      val = loss_fn(score, target_encode)
      val2 = F.binary_cross_entropy_with_logits(score, target_encode)
  
      self.assertAlmostEqual(val.item(), val2.item())
  
imports: import unittest
  import torch
  import torch.nn.functional
  from pytext.loss.loss import BinaryFocalLoss, FocalLoss
label_desc: Use image node_id 2 for calling the FocalLossTest obj's underlying member method code with example usage: obj.test_binary_focal_loss_base() without return types