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Tensorflow | tf.data.Dataset.from_tensor_slices()

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  • Difficulty Level : Basic
  • Last Updated : 03 Oct, 2019
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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 tensorflow
import tensorflow as tf
  
# using tf.data.Dataset.from_tensor_slices() method
gfg = 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 tensorflow
import tensorflow as tf
  
# using tf.data.Dataset.from_tensor_slices() method
gfg = 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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