ONE - On-device Neural Engine
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#include <training_ops.h>
Public Member Functions | |
void | operator() (const Device &d, typename TTypes< T >::Flat var, typename TTypes< T >::Flat m, typename TTypes< T >::Flat v, typename TTypes< T >::ConstScalar beta1_power, typename TTypes< T >::ConstScalar beta2_power, typename TTypes< T >::ConstScalar lr, typename TTypes< T >::ConstScalar beta1, typename TTypes< T >::ConstScalar beta2, typename TTypes< T >::ConstScalar epsilon, typename TTypes< T >::ConstFlat grad, bool use_nesterov) |
Definition at line 37 of file training_ops.h.
void nnfw::cker::training_ops::functor::ApplyAdam< Device, T >::operator() | ( | const Device & | d, |
typename TTypes< T >::Flat | var, | ||
typename TTypes< T >::Flat | m, | ||
typename TTypes< T >::Flat | v, | ||
typename TTypes< T >::ConstScalar | beta1_power, | ||
typename TTypes< T >::ConstScalar | beta2_power, | ||
typename TTypes< T >::ConstScalar | lr, | ||
typename TTypes< T >::ConstScalar | beta1, | ||
typename TTypes< T >::ConstScalar | beta2, | ||
typename TTypes< T >::ConstScalar | epsilon, | ||
typename TTypes< T >::ConstFlat | grad, | ||
bool | use_nesterov | ||
) |