tf.compat.v1.tables_initializer

Returns an Op that initializes all tables of the default graph.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.initializers.tables_initializer

tf.compat.v1.tables_initializer(
    name='init_all_tables'
)

Migrate to TF2

Caution: This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the TensorFlow v1 to TensorFlow v2 migration guide for instructions on how to migrate the rest of your code.

tf.compat.v1.tables_initializer is no longer needed with eager execution and tf.function. In TF2, when creating an initializable table like a tf.lookup.StaticHashTable, the table will automatically be initialized on creation.

Before & After Usage Example

Before:

with tf.compat.v1.Session():
  init = tf.compat.v1.lookup.KeyValueTensorInitializer(['a', 'b'], [1, 2])
  table = tf.compat.v1.lookup.StaticHashTable(init, default_value=-1)
  tf.compat.v1.tables_initializer().run()
  result = table.lookup(tf.constant(['a', 'c'])).eval()
result
array([ 1, -1], dtype=int32)

After:

init = tf.lookup.KeyValueTensorInitializer(['a', 'b'], [1, 2])
table = tf.lookup.StaticHashTable(init, default_value=-1)
table.lookup(tf.constant(['a', 'c'])).numpy()
array([ 1, -1], dtype=int32)

Description

Used in the notebooks

Used in the tutorials
Universal Sentence Encoder-Lite demo Wiki40B Language Models

Args
name	Optional name for the initialization op.

Returns
An Op that initializes all tables. Note that if there are not tables the returned Op is a NoOp.