code: def test_torch_empty_strided(
      *,
      dtype_x_and_other,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      x_dtype, x, size, stride, offset = dtype_x_and_other
      helpers.test_frontend_function(
          input_dtypes=x_dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          size=size,
          stride=stride,
          test_values=False,
      )
  
imports: from hypothesis import strategies, assume
  import math
  import numpy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.helpers.globals
  from ivy_tests.test_ivy.helpers import handle_frontend_test, BackendHandler
label_desc: Use image node_id 14 for calling a global function with example usage: test_torch_empty_strided() without return types