tf.assign_add
tf.assign_add
tf.assign_add
assign_add( ref, value, use_locking=None, name=None )
Defined in tensorflow/python/ops/state_ops.py
.
See the guide: Variables > Variable helper functions
Update 'ref' by adding 'value' to it.
This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the reset value.
Args:
-
ref
: A mutableTensor
. Must be one of the following types:float32
,float64
,int64
,int32
,uint8
,uint16
,int16
,int8
,complex64
,complex128
,qint8
,quint8
,qint32
,half
. Should be from aVariable
node. -
value
: ATensor
. Must have the same type asref
. The value to be added to the variable. -
use_locking
: An optionalbool
. Defaults toFalse
. If True, the addition will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. -
name
: A name for the operation (optional).
Returns:
Same as "ref". Returned as a convenience for operations that want to use the new value after the variable has been updated.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/assign_add