tf.raw_ops.ResourceApplyGradientDescent
Update '*var' by subtracting 'alpha' * 'delta' from it.
tf.raw_ops.ResourceApplyGradientDescent(
var, alpha, delta, use_locking=False, name=None
)
| Args | |
|---|---|
var |
A Tensor of type resource. Should be from a Variable(). |
alpha |
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. |
delta |
A Tensor. Must have the same type as alpha. 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 | |
|---|---|
| The created Operation. |
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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/ResourceApplyGradientDescent