code: def _check_logits_equality(self, logits1, logits2):
      return torch.isclose(logits1, logits2).flatten()
  
file_path: pytext/pytext/models/test/mlp_decoder_test.py
imports: import unittest
  import torch
  import torch.nn
  from pytext.models.decoders.mlp_decoder import MLPDecoder
label_desc: Use image node_id 3 for calling the MLPDecoderTest obj's underlying member method code with example usage: obj._check_logits_equality(logits1, logits2) and returns: torch