code: def test_torch_as_strided(
      *,
      dtype_x_and_other,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      x_dtype, x, size, stride, offset = dtype_x_and_other
      try:
          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,
              input=x[0],
              size=size,
              stride=stride,
              storage_offset=offset,
          )
      except Exception as e:
          if (
              hasattr(e, "message")
              and "out of bounds for storage of size" in e.message
          ):
              assume(False)
          else:
              raise e
  
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 8 for calling a global function with example usage: test_torch_as_strided() without return types