Python – tensorflow.get_static_value()
Last Updated :
14 Mar, 2023
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
get_static_value() is used to calculate the static value of Tensor. If static value can’t be calculated it will return None.
Syntax: tensorflow.get_static_value(tensor, partial)
Parameters:
- tensor: It is the input Tensor whose static value need to be calculated.
- partial: Either True or False with default value set to False. It is set to True to allow returned array to have partially calculated values.
Returns: It returns a numpy ndarray that contains the calculated result.
Example 1:
Python3
import tensorflow as tf
data = tf.constant([[ 1 , 2 , 3 ], [ 3 , 4 , 5 ], [ 5 , 6 , 7 ]])
print ( 'data: ' ,data)
res = tf.get_static_value(data)
print ( 'res: ' ,res)
|
Output:
data: tf.Tensor(
[[1 2 3]
[3 4 5]
[5 6 7]], shape=(3, 3), dtype=int32)
res: [[1 2 3]
[3 4 5]
[5 6 7]]
Example 2:
Python3
import tensorflow as tf
data = tf.Variable([[ 1 , 2 , 3 ], [ 3 , 4 , 5 ], [ 5 , 6 , 7 ]])
print ( 'data: ' ,data)
res = tf.get_static_value(data)
print ( 'res: ' ,res)
|
Output:
data: <tf.Variable 'Variable:0' shape=(3, 3) dtype=int32, numpy=
array([[1, 2, 3],
[3, 4, 5],
[5, 6, 7]], dtype=int32)>
res: None
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