tf.compat.v1.tables_initializer

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

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

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

Used in the notebooks

Used in the tutorials

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.