code: def test_circular_conv_transpose_2d_with_vmap(self):
      layer = nn.ConvTranspose(
          features=5, kernel_size=(3,), padding="CIRCULAR"
      )
  
      # this is ok
      sample_input = jnp.ones((1, 32, 2))
      out, vars = layer.init_with_output(
          jax.random.key(0), sample_input
      )
      self.assertEqual(out.shape, (1, 32, 5))
  
      batch_input = jnp.ones((8, 32, 2))
      batch_apply = jax.vmap(layer.apply, in_axes=(None, 0))
  
      # this breaks with the error provided
      batch_out = batch_apply(vars, batch_input)
      self.assertEqual(batch_out.shape, (8, 32, 5))
  
imports: import functools
  import jax
  import jax.numpy
  import numpy
  from absl.testing import absltest, parameterized
  from jax import random
  from jax.nn import initializers
  from flax import linen
label_desc: Use image node_id 35 for calling the LinearTest obj's underlying member method code with example usage: obj.test_circular_conv_transpose_2d_with_vmap() without return types