tf.compat.v1.variables_initializer
Returns an Op that initializes a list of variables.
tf.compat.v1.variables_initializer(
var_list, name='init'
)
Migrate to TF2
In TF2, variables are initialized immediately when they are created. There is no longer a need to run variable initializers before using them.
Description
Used in the notebooks
| Used in the tutorials |
|---|
After you launch the graph in a session, you can run the returned Op to initialize all the variables in var_list. This Op runs all the initializers of the variables in var_list in parallel.
Calling initialize_variables() is equivalent to passing the list of initializers to Group().
If var_list is empty, however, the function still returns an Op that can be run. That Op just has no effect.
| Args | |
|---|---|
var_list | List of Variable objects to initialize. |
name | Optional name for the returned operation. |
| Returns | |
|---|---|
| An Op that run the initializers of all the specified variables. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/variables_initializer
