code: def test_jit_compile_rope_module(self):
      module_scripted = torch.jit.script(self.rope_pos_emd)
      apply_rotary_scripted = torch.jit.script(apply_rotary_pos_emb)
      # Test several different lengths
      for T in [3, 5, 10]:
          sample = torch.randn(T, self.B, self.C)
          # Run forward pass with the original module
          cos_original, sin_original = self.rope_pos_emd(sample, T)
          query = sample.view(T, self.B, 1, self.C)
          new_query, new_key = apply_rotary_pos_emb(
              query, query, cos_original, sin_original
          )
  
          # Run forward pass with the scripted module
          cos_scripted, sin_scripted = module_scripted(sample, T)
          new_query_scripted, new_key_scripted = apply_rotary_scripted(
              query, query, cos_scripted, sin_scripted
          )
  
          # Ensure the outputs are the same
          self.assertTrue(torch.allclose(cos_original, cos_scripted))
          self.assertTrue(torch.allclose(sin_original, sin_scripted))
          self.assertTrue(torch.allclose(new_query, new_query_scripted))
          self.assertTrue(torch.allclose(new_key, new_key_scripted))
  
file_path: fairseq/tests/test_rotary_positional_embedding.py
imports: import torch
  import numpy
  import unittest
  from fairseq.modules.rotary_positional_embedding import apply_rotary_pos_emb
  from fairseq.modules import RotaryPositionalEmbedding
label_desc: Use image node_id 4 for calling the TestRotaryPositionalEmbedding obj's underlying member method code with example usage: obj.test_jit_compile_rope_module() without return types