Partition distribution across GPUs when using dask_cudf

When reading data from a CSV file, it is necessary to distribute the partitions across different GPUs. However, an error occurs when calling the to_device method.
df = dask_cudf.read_csv('./*.csv')
df = df.map_partitions(lambda part, i: part.to_device(i % 2))
KeyError: 'to_device'
During handling of the above exception, another exception occurred:
AttributeError: DataFrame object has no attribute to_device
Could you please help me understand what the error might be? Or is it necessary to use a different approach?