code: def _convert_to_order(
      client, X, chunksizes, order, n_features, dtype
  ):
      X_ddh = DistributedDataHandler.create(data=X, client=client)
      X_converted = [
          client.submit(
              cp.array, X_part, copy=False, order=order, workers=[w]
          )
          for idx, (w, X_part) in enumerate(X_ddh.gpu_futures)
      ]
  
      X_dela = _create_delayed(
          X_converted, dtype, chunksizes, n_features
      )
  
      return da.concatenate(X_dela, axis=0)
  
imports: from cuml.dask.common.utils import get_client
  from cuml.dask.common.input_utils import DistributedDataHandler
  from cuml.common import with_cupy_rmm
  from cuml.dask.datasets.utils import _create_delayed
  from cuml.dask.datasets.utils import _get_labels
  from cuml.dask.datasets.utils import _get_X
  from cuml.internals.safe_imports import gpu_only_import
  import dask.array
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 8 for calling a global function with example usage: _convert_to_order(client, X, chunksizes, order, n_features, dtype) and returns: da