python-tensorflowHow do I resolve a SymbolAlreadyExposedError when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export?

The SymbolAlreadyExposedError is a common error when using TensorFlow Python util tf_export and occurs when the symbol "zeros" is already exposed as () in TensorFlow Python util tf_export.

To resolve this error, you can use the tf.get_variable function to get the variable and use the tf.zeros function to initialize the variable.

For example:

import tensorflow as tf

x = tf.get_variable('x', shape=[2,2], initializer=tf.zeros)

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    print(sess.run(x))

# Output
[[0. 0.]
 [0. 0.]]

The code above consists of the following parts:

1. import tensorflow as tf - imports the TensorFlow library.
2. x = tf.get_variable('x', shape=[2,2], initializer=tf.zeros) - creates the variable x and initializes it with the tf.zeros function.
3. with tf.Session() as sess: - creates a TensorFlow session.
4. sess.run(tf.global_variables_initializer()) - initializes all the global variables.
5. print(sess.run(x)) - prints the variable x.

By using the tf.get_variable and tf.zeros functions, the SymbolAlreadyExposedError can be resolved.

Helpful links

• TensorFlow get_variable
• TensorFlow zeros

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