With the help of tf.data.Dataset.from_tensor_slices() method, we can get the slices of an array in the form of objects by using tf.data.Dataset.from_tensor_slices() method.
Syntax :
tf.data.Dataset.from_tensor_slices(list)
Return : Return the objects of sliced elements.
Example #1 :
In this example we can see that by using tf.data.Dataset.from_tensor_slices() method, we are able to get the slices of list or array.
# import tensorflowimport tensorflow as tf  # using tf.data.Dataset.from_tensor_slices() methodgfg = tf.data.Dataset.from_tensor_slices([1, 2, 3, 4, 5])  for ele in gfg:    print(ele.numpy()) |
Output :
1
2
3
4
5
Example #2 :
# import tensorflowimport tensorflow as tf  # using tf.data.Dataset.from_tensor_slices() methodgfg = tf.data.Dataset.from_tensor_slices([[5, 10], [3, 6]])  for ele in gfg:    print(ele.numpy()) |
Output :
[5, 10]
[3, 6]
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