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
# Importing the libraryimport tensorflow as tf# Initializing the inputdata = tf.constant([[1, 2, 3], [3, 4, 5], [5, 6, 7]])# Printing the inputprint('data: ',data)# Calculating resultres = tf.get_static_value(data)# Printing the resultprint('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
# Importing the libraryimport tensorflow as tf# Initializing the inputdata = tf.Variable([[1, 2, 3], [3, 4, 5], [5, 6, 7]])# Printing the inputprint('data: ',data)# Calculating resultres = tf.get_static_value(data)# Printing the resultprint('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
