tf.compat.v1.tables_initializer

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

Migrate to TF2

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

name Optional name for the initialization op.

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