code: def test_tt_matrix_to_tensor(
      *, data, test_flags, backend_fw, fn_name, on_device
  ):
      input_dtype, x = data
      helpers.test_function(
          input_dtypes=input_dtype,
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e8,
          atol_=1e8,
          tt_matrix=x[0],
      )
  
imports: import math
  from hypothesis import strategies
  from hypothesis import assume
  import numpy
  import pytest
  import itertools
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  import ivy
label_desc: Use image node_id 56 for calling a global function with example usage: test_tt_matrix_to_tensor() without return types