code: def test_conv_transpose(
      self,
      same_inputs,
      padding,
      filter_shape,
      strides,
      size,
      diagonal_batch,
      diagonal_spatial,
  ):
      if size > 2:
          test_utils.skip_test(self)
  
      width = 512
      tol = 0.01
      n_samples = 512
      filter_shape = (filter_shape,)
      strides = (strides,)
  
      init_fn, apply_fn, kernel_fn = stax.ConvTranspose(
          width, filter_shape, strides, padding, b_std=0.1
      )
  
      key = random.PRNGKey(1)
      shape = (size, 1)
      x1 = random.normal(key, (2,) + shape)
      x2 = random.normal(key, (3,) + shape) if not same_inputs else None
  
      k = kernel_fn(
          x1,
          x2,
          diagonal_batch=diagonal_batch,
          diagonal_spatial=diagonal_spatial,
          get="cov1" if diagonal_batch else "nngp",
      )
  
      diagonal_axes = ()
      if diagonal_batch:
          diagonal_axes += (0,)
      if diagonal_spatial:
          diagonal_axes += (1,)
  
      kernel_fn_mc = nt.monte_carlo_kernel_fn(
          init_fn,
          apply_fn,
          key,
          n_samples,
          diagonal_axes=diagonal_axes,
          device_count=0,
          implementation=_DEFAULT_TESTING_NTK_IMPLEMENTATION,
          vmap_axes=0,
      )
      k_mc = kernel_fn_mc(x1, None if diagonal_batch else x2, "nngp")
  
      test_utils.assert_close_matrices(self, k_mc, k, tol)
  
imports: import itertools
  import random
  import string
  import time
  from absl.testing import absltest
  from jax import default_backend
  from jax import jit
  from jax import lax
  from jax import random
  from jax import vjp
  from jax import config
  import jax.numpy
  import more_itertools
  import neural_tangents
  from neural_tangents import stax
  from neural_tangents._src.empirical import _DEFAULT_TESTING_NTK_IMPLEMENTATION
  from neural_tangents._src.utils import utils
  from tests import test_utils
  import numpy
label_desc: Use image node_id 1 for calling the ConvTransposeTest obj's underlying member method code with example usage: obj.test_conv_transpose(same_inputs, padding, filter_shape, strides, size, diagonal_batch, diagonal_spatial) without return types