# tensorflow::ops::ResourceSparseApplyProximalGradientDescent

`#include <training_ops.h>`

Sparse update '\*var' as FOBOS algorithm with fixed learning rate.

## Summary

That is for rows we have grad for, we update var as follows: prox_v = var - alpha \* grad var = sign(prox_v)/(1+alpha\*l2) \* max{\|prox_v\|-alpha\*l1,0}

Arguments:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/scope.md.txt#classtensorflow_1_1_scope) object
- var: Should be from a Variable().
- alpha: Scaling factor. Must be a scalar.
- l1: L1 regularization. Must be a scalar.
- l2: L2 regularization. Must be a scalar.
- grad: The gradient.
- indices: A vector of indices into the first dimension of var and accum.

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Optional attributes (see `Attrs`):

- use_locking: If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

<br />

Returns:

- the created `Operation`

<br />

| ### Constructors and Destructors ||
|---|---|
| `ResourceSparseApplyProximalGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices)` ||
| `ResourceSparseApplyProximalGradientDescent(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input alpha, ::tensorflow::Input l1, ::tensorflow::Input l2, ::tensorflow::Input grad, ::tensorflow::Input indices, const ResourceSparseApplyProximalGradientDescent::Attrs & attrs)` ||

| ### Public attributes ||
|---|---|
| `operation` | `Operation` |

| ### Public functions ||
|---|---|
| `operator::tensorflow::Operation() const ` | ` `` ` |

| ### Public static functions ||
|---|---|
| `UseLocking(bool x)` | `Attrs` |

| ### Structs ||
|---|---|
| [tensorflow::ops::ResourceSparseApplyProximalGradientDescent::Attrs](https://www.tensorflow.org/versions/r2.0/api_docs/cc/struct/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent/attrs.md.txt) | Optional attribute setters for [ResourceSparseApplyProximalGradientDescent](https://www.tensorflow.org/versions/r2.0/api_docs/cc/class/tensorflow/ops/resource-sparse-apply-proximal-gradient-descent.md.txt#classtensorflow_1_1ops_1_1_resource_sparse_apply_proximal_gradient_descent). |

## Public attributes

### operation

```
Operation operation
```

## Public functions

### ResourceSparseApplyProximalGradientDescent

```
 ResourceSparseApplyProximalGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices
)
```

### ResourceSparseApplyProximalGradientDescent

```
 ResourceSparseApplyProximalGradientDescent(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input var,
  ::tensorflow::Input alpha,
  ::tensorflow::Input l1,
  ::tensorflow::Input l2,
  ::tensorflow::Input grad,
  ::tensorflow::Input indices,
  const ResourceSparseApplyProximalGradientDescent::Attrs & attrs
)
```

### operator::tensorflow::Operation

```
 operator::tensorflow::Operation() const 
```

## Public static functions

### UseLocking

```
Attrs UseLocking(
  bool x
)
```