tfds.as

tfds.as_numpy(
    dataset: Tree[TensorflowElem]
) 

将dataset数据集转换成一个可以迭代的numpy数组。

>>> b = tf.reshape(tf.range(24), (4, 6))
>>> b

>>> dataset = tf.data.Dataset.from_tensor_slices(b)
>>> for data in dataset:
	data





>>> dataset_ = tfds.as_numpy(dataset)
>>> for data in dataset_:
	data

array([0, 1, 2, 3, 4, 5])
array([ 6,  7,  8,  9, 10, 11])
array([12, 13, 14, 15, 16, 17])
array([18, 19, 20, 21, 22, 23])

>>> dataset_

>>> dataset