code: def sort(x, dim=None, descending: core.constexpr = 0):
      core.static_assert(
          _is_power_of_two(x.shape[_get_sort_dim(dim, x.shape)])
      )
      core.static_assert(_is_power_of_two(x.numel))
      # reshape the tensor to have all dimensions be 2.
      # TODO: We shouldn't have to change the dimensions not sorted.
      y = core.reshape(x, [2] * _log2(x.numel))
      for i in core.static_range(
          1, _log2(x.shape[_get_sort_dim(dim, x.shape)]) + 1
      ):
          y = _bitonic_merge(
              y,
              _log2(x.numel),
              i,
              (
                  descending
                  if (i == _log2(x.shape[_get_sort_dim(dim, x.shape)]))
                  else 2
              ),
          )
  
      x = core.reshape(y, x.shape)
      return x
  
imports: from __future__ import annotations
  from ..runtime.jit import jit
  from .None import core, math
label_desc: Use image node_id 36 for calling a global function with example usage: sort(x, dim, descending) and returns: x