code: def test_transpose_kernel_conv_transpose(self, use_bias):
      rng = dict(params=random.key(0))
      x = jnp.ones((1, 15, 15, 3))
      conv_module = nn.ConvTranspose(
          features=4,
          use_bias=use_bias,
          strides=(2, 2),
          kernel_size=(6, 6),
          padding="CIRCULAR",
          transpose_kernel=True,
      )
      y, initial_params = conv_module.init_with_output(rng, x)
      self.assertEqual(
          initial_params["params"]["kernel"].shape, (6, 6, 4, 3)
      )
      self.assertEqual(y.shape, (1, 30, 30, 4))
  
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 39 for calling the LinearTest obj's underlying member method code with example usage: obj.test_transpose_kernel_conv_transpose(use_bias) without return types