code: def test_tensorflow_extract_patches(
      *,
      dtype_values_and_other,
      frontend,
      test_flags,
      fn_tree,
      backend_fw,
      on_device,
  ):
      (
          (x_dtype, x),
          sizes,
          strides,
          rates,
          padding,
      ) = dtype_values_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,
          images=x[0],
          sizes=sizes,
          strides=strides,
          rates=rates,
          padding=padding,
      )
  
imports: from hypothesis import strategies, assume
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_experimental.test_nn.test_layers import _interp_args
label_desc: Use image node_id 2 for calling a global function with example usage: test_tensorflow_extract_patches() without return types