accum += grad * grad
var -= lr * grad * (1 / sqrt(accum))
Args
var
A Tensor of type resource. Should be from a Variable().
accum
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, qint16, quint16, uint16, complex128, half, uint32, uint64.
Scaling 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 and accum tensors will be protected
by a lock; otherwise the behavior is undefined, but may exhibit less
contention.