Update ref
by adding value
to it.
tf.compat.v1.assign_add( ref, value, use_locking=None, name=None )
This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the reset value. Unlike tf.math.add
, this op does not broadcast. ref
and value
must have the same shape.
Args | |
---|---|
ref | A mutable Tensor . Must be one of the following types: float32 , float64 , int64 , int32 , uint8 , uint16 , int16 , int8 , complex64 , complex128 , qint8 , quint8 , qint32 , half . Should be from a Variable node. |
value | A Tensor . Must have the same shape and dtype as ref . The value to be added to the variable. |
use_locking | An optional bool . Defaults to False . 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. |
© 2020 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/versions/r2.3/api_docs/python/tf/compat/v1/assign_add