code: def _vprim_transpose(
      cts, *inputs, prim, __axis_size, __axis_name, __batch_axes, params
  ):
      inputs = [
          _resolve_undefined_i(i, b)
          for i, b in zip(inputs, __batch_axes)
      ]
      batch_axes = [
          _resolve_undefined_b(i, b)
          for i, b in zip(inputs, __batch_axes)
      ]
      transpose = ft.partial(_vprim_transpose_registry[prim], **params)
      transpose = jax.vmap(
          transpose,
          in_axes=(0, *batch_axes),
          axis_size=__axis_size,
          axis_name=__axis_name,
      )
      return transpose(cts, *inputs)
  
imports: import functools
  from typing import Any
  import jax
  import jax.core
  import jax.interpreters.ad
  import jax.interpreters.batching
  import jax.interpreters.mlir
  import jax.tree_util
  from jaxtyping import PyTree
  from .._filters import combine, is_array, is_array_like, partition
  from .._tree import tree_equal
label_desc: Use image node_id 24 for calling a global function with example usage: _vprim_transpose(cts) and returns: transpose