# tf.raw_ops.AssignAdd

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Update 'ref' by adding 'value' to it.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.AssignAdd`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/AssignAdd)

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    tf.raw_ops.AssignAdd(
        ref, value, use_locking=False, 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.

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| ## Args ||
|---|---|
| `ref` | A mutable `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `complex64`, `int64`, `qint8`, `quint8`, `qint32`, `bfloat16`, `qint16`, `quint16`, `uint16`, `complex128`, `half`, `uint32`, `uint64`. Should be from a `Variable` node. |
| `value` | A `Tensor`. Must have the same type 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). |

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| ## Returns ||
|---|---|
| A mutable `Tensor`. Has the same type as `ref`. ||

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