tf.raw_ops.ResourceApplyAdam
Update '*var' according to the Adam algorithm.
tf.raw_ops.ResourceApplyAdam(
var, m, v, beta1_power, beta2_power, lr, beta1, beta2, epsilon, grad,
use_locking=False, use_nesterov=False, name=None
)
$$\text{lr}_t := \mathrm{learning_rate} * \sqrt{1 - \beta_2^t} / (1 - \beta_1^t)$$
$$m_t := \beta_1 * m_{t-1} + (1 - \beta_1) * g$$
$$v_t := \beta_2 * v_{t-1} + (1 - \beta_2) * g * g$$
$$\text{variable} := \text{variable} - \text{lr}_t * m_t / (\sqrt{v_t} + \epsilon)$$
| 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(). |
beta1_power |
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, 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. |
use_nesterov |
An optional bool. Defaults to False. If True, uses the nesterov update. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
| The created Operation. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ResourceApplyAdam