Python - tensorflow.get_static_value()
Last Updated :
14 Mar, 2023
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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:
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.constant([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
# Printing the input
print('data: ',data)
# Calculating result
res = tf.get_static_value(data)
# Printing the result
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:
# Importing the library
import tensorflow as tf
# Initializing the input
data = tf.Variable([[1, 2, 3], [3, 4, 5], [5, 6, 7]])
# Printing the input
print('data: ',data)
# Calculating result
res = tf.get_static_value(data)
# Printing the result
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