다음을 실행하면 에러가 납니다.

from __future__ import absolute_import, division, print_function, unicode_literals

import numpy as np

import tensorflow as tf

import tensorflow_hub as hub

import tensorflow_datasets as tfds

train_validation_split = tfds.Split.TRAIN.subsplit([6, 4])

(train_data, validation_data), test_data = tfds.load(

    name="imdb_reviews", 

    split=(train_validation_split, tfds.Split.TEST),

    as_supervised=True)

print("Version: ", tf.__version__)

print("Eager mode: ", tf.executing_eagerly())

print("Hub version: ", hub.__version__)

print("GPU is", "available" if tf.config.experimental.list_physical_devices("GPU") else "NOT AVAILABLE")

Version:  2.0.0
Eager mode:  True
Hub version:  0.7.0
GPU is NOT AVAILABLE

다음과 같은 에러가 납니다.

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
<ipython-input-6-55c5f5ff433f> in <module>
      6     name="imdb_reviews",
      7     split=(train_validation_split, tfds.Split.TEST),
----> 8     as_supervised=True)

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\api_utils.py in disallow_positional_args_dec(fn, instance, args, kwargs)
     50     _check_no_positional(fn, args, ismethod, allowed=allowed)
     51     _check_required(fn, kwargs)
---> 52     return fn(*args, **kwargs)
     53 
     54   return disallow_positional_args_dec(wrapped)  # pylint: disable=no-value-for-parameter

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\registered.py in load(name, split, data_dir, batch_size, in_memory, shuffle_files, download, as_supervised, decoders, read_config, with_info, builder_kwargs, download_and_prepare_kwargs, as_dataset_kwargs, try_gcs)
    316   as_dataset_kwargs.setdefault("read_config", read_config)
    317 
--> 318   ds = dbuilder.as_dataset(**as_dataset_kwargs)
    319   if with_info:
    320     return ds, dbuilder.info

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\api_utils.py in disallow_positional_args_dec(fn, instance, args, kwargs)
     50     _check_no_positional(fn, args, ismethod, allowed=allowed)
     51     _check_required(fn, kwargs)
---> 52     return fn(*args, **kwargs)
     53 
     54   return disallow_positional_args_dec(wrapped)  # pylint: disable=no-value-for-parameter

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in as_dataset(self, split, batch_size, shuffle_files, decoders, read_config, as_supervised, in_memory)
    474         in_memory=in_memory,
    475     )
--> 476     datasets = utils.map_nested(build_single_dataset, split, map_tuple=True)
    477     return datasets
    478 

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
    151     if isinstance(data_struct, tuple(types)):
    152       mapped = [map_nested(function, v, dict_only, map_tuple)
--> 153                 for v in data_struct]
    154       if isinstance(data_struct, list):
    155         return mapped

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in <listcomp>(.0)
    151     if isinstance(data_struct, tuple(types)):
    152       mapped = [map_nested(function, v, dict_only, map_tuple)
--> 153                 for v in data_struct]
    154       if isinstance(data_struct, list):
    155         return mapped

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
    151     if isinstance(data_struct, tuple(types)):
    152       mapped = [map_nested(function, v, dict_only, map_tuple)
--> 153                 for v in data_struct]
    154       if isinstance(data_struct, list):
    155         return mapped

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in <listcomp>(.0)
    151     if isinstance(data_struct, tuple(types)):
    152       mapped = [map_nested(function, v, dict_only, map_tuple)
--> 153                 for v in data_struct]
    154       if isinstance(data_struct, list):
    155         return mapped

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
    157         return tuple(mapped)
    158   # Singleton
--> 159   return function(data_struct)
    160 
    161 

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in _build_single_dataset(self, split, shuffle_files, batch_size, decoders, read_config, as_supervised, in_memory)
    542           shuffle_files=shuffle_files,
    543           decoders=decoders,
--> 544           read_config=read_config,
    545       )
    546 

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\dataset_builder.py in _as_dataset(self, split, decoders, read_config, shuffle_files)
    899           split_infos=self.info.splits.values(),
    900           read_config=read_config,
--> 901           shuffle_files=shuffle_files,
    902       )
    903     else:

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\tfrecords_reader.py in read(self, name, instructions, split_infos, read_config, shuffle_files)
    244         name2len=name2len, name2shard_lengths=name2shard_lengths,
    245         shuffle_files=shuffle_files)
--> 246     datasets = utils.map_nested(read_instruction, instructions, map_tuple=True)
    247     return datasets
    248 

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
    157         return tuple(mapped)
    158   # Singleton
--> 159   return function(data_struct)
    160 
    161 

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\tfrecords_reader.py in _read_single_instruction(instruction, parse_fn, read_config, name, path, name2len, name2shard_lengths, shuffle_files)
    138   """
    139   if not isinstance(instruction, ReadInstruction):
--> 140     instruction = ReadInstruction.from_spec(instruction)
    141   absolute_instructions = instruction.to_absolute(name2len)
    142   files = list(itertools.chain.from_iterable([

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\tfrecords_reader.py in from_spec(cls, spec)
    436     if not subs:
    437       raise AssertionError('No instructions could be built out of %s' % spec)
--> 438     instruction = _str_to_relative_instruction(subs[0])
    439     return sum([_str_to_relative_instruction(sub) for sub in subs[1:]],
    440                instruction)

~\Anaconda3\envs\jhsong37\lib\site-packages\tensorflow_datasets\core\tfrecords_reader.py in _str_to_relative_instruction(spec)
    277   res = _SUB_SPEC_RE.match(spec)
    278   if not res:
--> 279     raise AssertionError('Unrecognized instruction format: %s' % spec)
    280   unit = '%' if res.group('from_pct') or res.group('to_pct') else 'abs'
    281   return ReadInstruction(

AssertionError: Unrecognized instruction format: NamedSplit('train')(tfds.percent[0:60])