# tf.raw_ops.ApplyGradientDescent

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Update '\*var' by subtracting 'alpha' \* 'delta' from it.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ApplyGradientDescent(
        var, alpha, delta, use_locking=False, name=None
    )

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| ## Args ||
|---|---|
| `var` | 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(). |
| `alpha` | A `Tensor`. Must have the same type as `var`. Scaling factor. Must be a scalar. |
| `delta` | A `Tensor`. Must have the same type as `var`. The change. |
| `use_locking` | An optional `bool`. Defaults to `False`. If `True`, the subtraction 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 `var`. ||

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