Update '*var' by subtracting 'alpha' * 'delta' from it.
tf.raw_ops.ApplyGradientDescent(
var, alpha, delta, use_locking=False, name=None
)
| Args | |
|---|---|
var | A mutable 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. Should be from a Variable(). |
alpha | A Tensor. Must have the same type as var. Scaling factor. Must be a scalar. |
delta | A Tensor. Must have the same type as var. The change. |
use_locking | An optional bool. Defaults to False. If True, the subtraction will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
A mutable Tensor. Has the same type as var. |
© 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/r2.4/api_docs/python/tf/raw_ops/ApplyGradientDescent