code: def test_reshape_convert(self):
      if jax.default_backend() in {"tpu"}:
          raise unittest.SkipTest(
              "Jax2tf native_serialization eager mode is not support in TPU"
          )
  
      # A function containing a hk.reshape on a polymorphic dimension.  We want
      # to make sure we can convert this method using `jax.jax2tf`.
      def f(inputs):
          mod = reshape.Reshape(output_shape=[1, -1])
          return mod(inputs)
  
      init_fn, apply_fn = transform.transform(f)
      x1 = jnp.ones([1, 2, 3])
      params = init_fn(None, x1)
  
      # We convert `f` using `jax2tf` with undefined shape
      converted_f = jax2tf.convert(
          apply_fn,
          polymorphic_shapes=[
              None,
              None,
              jax2tf.PolyShape("_", "T", ...),
          ],  # pytype: disable=wrong-arg-count
          with_gradient=True,
      )
  
      # Test equality for different inputs shapes.
      original_output1 = apply_fn(params, None, x1)
      converted_output1 = converted_f(params, None, x1)
      self.assertTrue(np.allclose(original_output1, converted_output1))
  
      x2 = jnp.ones([1, 4, 3])
      converted_output2 = converted_f(params, None, x2)
      original_output2 = apply_fn(params, None, x2)
      self.assertTrue(np.allclose(original_output2, converted_output2))
  
imports: import unittest
  from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import reshape
  from haiku._src import test_utils
  from haiku._src import transform
  import jax
  from jax.experimental import jax2tf
  import jax.numpy
  import numpy
label_desc: Use image node_id 4 for calling the ReshapeTest obj's underlying member method code with example usage: obj.test_reshape_convert() and returns: mod