Save the date! Google I/O returns May 18-20

`#include <training_ops.h>`

Update '*var' according to the Adam algorithm.

## Summary

\$\$lr_t := {learning_rate} * {1 - beta_2^t} / (1 - beta_1^t)\$\$ \$\$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g\$\$ \$\$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g\$\$ \$\$variable := variable - lr_t * m_t / ({v_t} + )\$\$

Arguments:

• scope: A Scope object
• var: Should be from a Variable().
• m: Should be from a Variable().
• v: Should be from a Variable().
• beta1_power: Must be a scalar.
• beta2_power: Must be a scalar.
• lr: Scaling factor. Must be a scalar.
• beta1: Momentum factor. Must be a scalar.
• beta2: Momentum factor. Must be a scalar.
• epsilon: Ridge term. Must be a scalar.

Optional attributes (see `Attrs`):

• use_locking: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
• use_nesterov: If `True`, uses the nesterov update.

Returns:

• the created `Operation`

### Constructors and Destructors

`ResourceApplyAdam(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad)`
`ResourceApplyAdam(const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdam::Attrs & attrs)`

### Public attributes

`operation`
`Operation`

### Public functions

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

### Public static functions

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

## Public attributes

### operation

`Operation operation`

## Public functions

``` ResourceApplyAdam(
const ::tensorflow::Scope & scope,
::tensorflow::Input var,
::tensorflow::Input m,
::tensorflow::Input v,
::tensorflow::Input beta1_power,
::tensorflow::Input beta2_power,
::tensorflow::Input lr,
::tensorflow::Input beta1,
::tensorflow::Input beta2,
::tensorflow::Input epsilon,
)```

``` ResourceApplyAdam(
const ::tensorflow::Scope & scope,
::tensorflow::Input var,
::tensorflow::Input m,
::tensorflow::Input v,
::tensorflow::Input beta1_power,
::tensorflow::Input beta2_power,
::tensorflow::Input lr,
::tensorflow::Input beta1,
::tensorflow::Input beta2,
::tensorflow::Input epsilon,
)```

### operator::tensorflow::Operation

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

## Public static functions

### UseLocking

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

### UseNesterov

```Attrs UseNesterov(
bool x
)```