"Tuple indices must be integers or slices, not str" 加载 Tensorflow 数据集时
"Tuple indices must be integers or slices, not str" when loading Tensorflow Dataset
我正在尝试加载 MNIST 数据集,但我得到了
TypeError: tuple indices must be integers or slices, not str
这是我的代码:
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
mnist_dataset = tfds.load(name='mnist', with_info=True, as_supervised=True)
mnist_train, mnist_test = mnist_dataset['train'], mnist_dataset['test']
这一行给我错误:
mnist_train, mnist_test = mnist_dataset['train'], mnist_dataset['test']
如果包含with_info=True
,则需要进行相应的解包:
mnist_dataset, info = tfds.load(name='mnist', with_info=True, as_supervised=True)
按照您的方式,mnist_dataset
是一个包含 2 项字典和 tfds.core.DatasetInfo
对象的元组:
(
{
'test': <PrefetchDataset shapes: ((28, 28, 1), ()), types: (tf.uint8, tf.int64)>,
'train': <PrefetchDataset shapes: ((28, 28, 1), ()), types: (tf.uint8, tf.int64)>
},
tfds.core.DatasetInfo(name='mnist', etc)
)
我正在尝试加载 MNIST 数据集,但我得到了
TypeError: tuple indices must be integers or slices, not str
这是我的代码:
import numpy as np
import tensorflow as tf
import tensorflow_datasets as tfds
mnist_dataset = tfds.load(name='mnist', with_info=True, as_supervised=True)
mnist_train, mnist_test = mnist_dataset['train'], mnist_dataset['test']
这一行给我错误:
mnist_train, mnist_test = mnist_dataset['train'], mnist_dataset['test']
如果包含with_info=True
,则需要进行相应的解包:
mnist_dataset, info = tfds.load(name='mnist', with_info=True, as_supervised=True)
按照您的方式,mnist_dataset
是一个包含 2 项字典和 tfds.core.DatasetInfo
对象的元组:
(
{
'test': <PrefetchDataset shapes: ((28, 28, 1), ()), types: (tf.uint8, tf.int64)>,
'train': <PrefetchDataset shapes: ((28, 28, 1), ()), types: (tf.uint8, tf.int64)>
},
tfds.core.DatasetInfo(name='mnist', etc)
)