tf.compat.v1.assign
时间: 2023-09-02 22:12:05 浏览: 49
This is a function in TensorFlow 1.x that is used to assign a new value to a variable. It takes two arguments: the variable to be updated and the new value to be assigned to it.
For example:
```
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
# Create a variable
x = tf.Variable(0, name='x')
# Assign a new value to x
update_x = tf.compat.v1.assign(x, 10)
# Initialize the variables
init = tf.compat.v1.global_variables_initializer()
# Run the session to execute the update operation
with tf.compat.v1.Session() as sess:
sess.run(init)
sess.run(update_x)
print(sess.run(x)) # Output: 10
```
Note that in TensorFlow 2.x, the `assign` function has been replaced by the `assign` method of a `tf.Variable` object.