# tf.raw_ops.ResourceApplyAdamWithAmsgrad

Update '\*var' according to the Adam algorithm.

#### View aliases


**Compat aliases for migration**

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

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

<br />

    tf.raw_ops.ResourceApplyAdamWithAmsgrad(
        var,
        m,
        v,
        vhat,
        beta1_power,
        beta2_power,
        lr,
        beta1,
        beta2,
        epsilon,
        grad,
        use_locking=False,
        name=None
    )

\\\[\\text{lr}_t := \\mathrm{learning_rate} \* \\sqrt{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\\\]

\\\[\\hat{v}_t := max{\\hat{v}_{t-1}, v_t}\\\]

\\\[\\text{variable} := \\text{variable} - \\text{lr}_t \* m_t / (\\sqrt{\\hat{v}_t} + \\epsilon)\\\]

<br />

<br />

<br />

| ## Args ||
|---|---|
| `var` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `m` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `v` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `vhat` | A `Tensor` of type `resource`. Should be from a Variable(). |
| `beta1_power` | 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`. Must be a scalar. |
| `beta2_power` | A `Tensor`. Must have the same type as `beta1_power`. Must be a scalar. |
| `lr` | A `Tensor`. Must have the same type as `beta1_power`. Scaling factor. Must be a scalar. |
| `beta1` | A `Tensor`. Must have the same type as `beta1_power`. Momentum factor. Must be a scalar. |
| `beta2` | A `Tensor`. Must have the same type as `beta1_power`. Momentum factor. Must be a scalar. |
| `epsilon` | A `Tensor`. Must have the same type as `beta1_power`. Ridge term. Must be a scalar. |
| `grad` | A `Tensor`. Must have the same type as `beta1_power`. The gradient. |
| `use_locking` | An optional `bool`. Defaults to `False`. 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. |
| `name` | A name for the operation (optional). |

<br />

<br />

<br />

<br />

| ## Returns ||
|---|---|
| The created Operation. ||

<br />