tf.raw_ops.ResourceApplyAdadelta
Update '*var' according to the adadelta scheme.
tf.raw_ops.ResourceApplyAdadelta(
var,
accum,
accum_update,
lr,
rho,
epsilon,
grad,
use_locking=False,
name=None
)
accum = rho() * accum + (1 - rho()) * grad.square(); update = (update_accum + epsilon).sqrt() * (accum + epsilon()).rsqrt() * grad; update_accum = rho() * update_accum + (1 - rho()) * update.square(); var -= update;
| Args | |
|---|---|
var |
A Tensor of type resource. Should be from a Variable(). |
accum |
A Tensor of type resource. Should be from a Variable(). |
accum_update |
A Tensor of type resource. Should be from a Variable(). |
lr |
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. Scaling factor. Must be a scalar. |
rho |
A Tensor. Must have the same type as lr. Decay factor. Must be a scalar. |
epsilon |
A Tensor. Must have the same type as lr. Constant factor. Must be a scalar. |
grad |
A Tensor. Must have the same type as lr. The gradient. |
use_locking |
An optional bool. Defaults to False. If True, updating of the var, accum and update_accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
| The created Operation. |
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/raw_ops/ResourceApplyAdadelta