step method
Implementation
@override
void step() {
_t = _t + 1;
for (int p = 0; p < parameters.length; p = p + 1) {
Tensor<dynamic> param = parameters[p];
List<double> mList = _m[param.id]!;
List<double> vList = _v[param.id]!;
for (int i = 0; i < param.data.length; i = i + 1) {
mList[i] = beta1 * mList[i] + (1.0 - beta1) * param.grad[i];
vList[i] = beta2 * vList[i] + (1.0 - beta2) * (param.grad[i] * param.grad[i]);
double mHat = mList[i] / (1.0 - pow(beta1, _t));
double vHat = vList[i] / (1.0 - pow(beta2, _t));
param.data[i] = param.data[i] - learningRate * mHat / (sqrt(vHat) + epsilon);
}
}
}