tf.raw_ops.ResourceApplyGradientDescent | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.ResourceApplyGradientDescent
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Update '*var' by subtracting 'alpha' * 'delta' from it.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.ResourceApplyGradientDescent
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, qint16, quint16, 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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Last updated 2024-04-26 UTC.