code: def test_tensorflow_inputs_to_ivy_arrays(dtype_and_x, backend_fw):
      x_dtype, x = dtype_and_x
  
      with BackendHandler.update_backend(backend_fw) as ivy_backend:
          _import_fn = ivy_backend.utils.dynamic_import.import_module
          _import_fn("ivy.functional.frontends.tensorflow.func_wrapper")
          _tensor_module = _import_fn(
              "ivy.functional.frontends.tensorflow.tensor"
          )
  
          # check for ivy array
          input_ivy = ivy_backend.array(x[0], dtype=x_dtype[0])
          output = ivy_backend.inputs_to_ivy_arrays(_fn)(input_ivy)
          assert isinstance(output, ivy_backend.Array)
          assert input_ivy.dtype == output.dtype
          assert ivy_backend.all(input_ivy == output)
  
          # check for native array
          input_native = ivy_backend.native_array(input_ivy)
          output = ivy_backend.inputs_to_ivy_arrays(_fn)(input_native)
          assert isinstance(output, ivy_backend.Array)
          assert (
              ivy_backend.as_ivy_dtype(input_native.dtype)
              == output.dtype
          )
          assert ivy_backend.all(input_native == output.data)
  
          # check for frontend array
          input_frontend = _tensor_module.EagerTensor(x[0])
          output = ivy_backend.inputs_to_ivy_arrays(_fn)(input_frontend)
          assert isinstance(output, ivy_backend.Array)
          assert input_frontend.dtype.ivy_dtype == output.dtype
          assert ivy_backend.all(input_frontend.ivy_array == output)
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_func_wrapper.py
imports: from hypothesis import given, strategies
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import BackendHandler
  from ivy.functional.frontends.tensorflow.func_wrapper import outputs_to_frontend_arrays, to_ivy_arrays_and_back, handle_tf_dtype
  from ivy.functional.frontends.tensorflow.tensor import EagerTensor
  import ivy.functional.frontends.tensorflow
  import ivy.functional.frontends.numpy
label_desc: Use image node_id 4 for calling a global function with example usage: test_tensorflow_inputs_to_ivy_arrays(dtype_and_x, backend_fw) without return types