# tf.raw_ops.SparseApplyAdagradDA

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Update entries in '*var' and '*accum' according to the proximal adagrad scheme.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.SparseApplyAdagradDA(
        var,
        gradient_accumulator,
        gradient_squared_accumulator,
        grad,
        indices,
        lr,
        l1,
        l2,
        global_step,
        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(). |
| `gradient_accumulator` | A mutable `Tensor`. Must have the same type as `var`. Should be from a Variable(). |
| `gradient_squared_accumulator` | A mutable `Tensor`. Must have the same type as `var`. Should be from a Variable(). |
| `grad` | A `Tensor`. Must have the same type as `var`. 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. |
| `lr` | A `Tensor`. Must have the same type as `var`. Learning rate. Must be a scalar. |
| `l1` | A `Tensor`. Must have the same type as `var`. L1 regularization. Must be a scalar. |
| `l2` | A `Tensor`. Must have the same type as `var`. L2 regularization. Must be a scalar. |
| `global_step` | A `Tensor` of type `int64`. Training step number. Must be a scalar. |
| `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 ||
|---|---|
| A mutable `Tensor`. Has the same type as `var`. ||

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