float scaleAndRegularizeFloatTensor(
MultiDimensionalMap<String, String, FloatTensor> derivatives,
MultiDimensionalMap<String, String, FloatTensor> currentMatrices,
float scale,
float regCost) {
float cost = 0.0f; // the regularization cost
for (MultiDimensionalMap.Entry<String, String, FloatTensor> entry :
currentMatrices.entrySet()) {
FloatTensor D = derivatives.get(entry.getFirstKey(), entry.getSecondKey());
D = D.scale(scale).add(entry.getValue().scale(regCost));
derivatives.put(entry.getFirstKey(), entry.getSecondKey(), D);
cost += entry.getValue().mul(entry.getValue()).sum() * regCost / 2.0;
}
return cost;
}
FloatTensor randomBinaryFloatTensor() {
float range = 1.0f / (4.0f * numHidden);
FloatTensor floatTensor =
FloatTensor.rand(numHidden * 2, numHidden * 2, numHidden, -range, range, rng);
return floatTensor.scale(scalingForInit);
}
