tf.compat.v1.tables_initializer
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Returns an Op that initializes all tables of the default graph.
tf . compat . v1 . tables_initializer (
name = 'init_all_tables'
)
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
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.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2022-11-04 UTC.
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