tf.raw_ops.ResourceApplyAdamWithAmsgrad

Update '*var' according to the Adam algorithm.

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

\[\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)\]

\[m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g\]

\[v_t := \beta_2 * v_{t-1} + (1 - \beta_2) * g * g\]

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

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