docstr: Helper method: calculates conv transpose.
docstr_tok: ["Helper","method",":","calculates","conv","transpose","."]
code: def _conv_transpose_circular(
      cls, lhs, params, strides, padding, dimension_numbers
  ):
      """Helper method: calculates conv transpose."""
      _, apply_fn, _ = stax.ConvTranspose(
          out_chan=params[0].shape[dimension_numbers[1].index("O")],
          filter_shape=(
              params[0].shape[dimension_numbers[1].index("H")],
          ),
          strides=strides,
          padding=padding,
          dimension_numbers=dimension_numbers,
          parameterization="standard",
      )
      return apply_fn((params[0], 0.0), lhs)
  
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 3 for calling the ConvTransposeTest obj's underlying member method code with example usage: obj._conv_transpose_circular(cls, lhs, params, strides, padding, dimension_numbers) and returns: apply_fn