# tf.raw_ops.ResourceSparseApplyAdadelta

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var: Should be from a Variable().

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.ResourceSparseApplyAdadelta(
        var,
        accum,
        accum_update,
        lr,
        rho,
        epsilon,
        grad,
        indices,
        use_locking=False,
        name=None
    )

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| ## Args ||
|---|---|
| `var` | A `Tensor` of type `resource`. |
| `accum` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `accum_update` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `lr` | A `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`. Learning rate. Must be a scalar. |
| `rho` | A `Tensor`. Must have the same type as `lr`. Decay factor. Must be a scalar. |
| `epsilon` | A `Tensor`. Must have the same type as `lr`. Constant factor. Must be a scalar. |
| `grad` | A `Tensor`. Must have the same type as `lr`. The gradient. |
| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. A vector of indices into the first dimension of var and accum. |
| `use_locking` | An optional `bool`. Defaults to `False`. If True, updating of the var and accum tensors 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 ||
|---|---|
| The created Operation. ||

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