Python – tensorflow.fill()
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
fill() is used to generate a tensor having scalar value.
Syntax: tensorflow.fill( dims, value, name)
Parameters:
- dims: It is 1-D sequence of dtype int32 or int64 with non-negative integers representing the shape of the resulting Tensor.
- value: It is the value to be filled.
- name(optional): It defines the name of the operation.
Returns: It returns a Tensor of shape dim.
Raises:
- InvalidArgumentError: This error is raised when dim contains negative values.
- NotFoundError: This error is raised when dim contains non-integer values.
Example 1:
Python3
import tensorflow as tf
dim = [ 4 , 5 ]
value = 5
print ( 'dim: ' , dim)
print ( 'value: ' , value)
res = tf.fill(dim, value)
print ( 'res: ' , res)
|
Output:
dim: [4, 5]
value: 5
res: tf.Tensor(
[[5 5 5 5 5]
[5 5 5 5 5]
[5 5 5 5 5]
[5 5 5 5 5]], shape=(4, 5), dtype=int32)
Example 2:
Python3
import tensorflow as tf
dim = [ 4 , 2 , 5 ]
value = 5
print ( 'dim: ' , dim)
print ( 'value: ' , value)
res = tf.fill(dim, value)
print ( 'res: ' , res)
|
Output:
dim: [4, 2, 5]
value: 5
res: tf.Tensor(
[[[5 5 5 5 5]
[5 5 5 5 5]]
[[5 5 5 5 5]
[5 5 5 5 5]]
[[5 5 5 5 5]
[5 5 5 5 5]]
[[5 5 5 5 5]
[5 5 5 5 5]]], shape=(4, 2, 5), dtype=int32)
Last Updated :
10 Jul, 2020
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