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 | |
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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 | |
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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/r2.4/api_docs/python/tf/raw_ops/ResourceApplyGradientDescent