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Reduce the number of individual PRNG instances

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Use same instance of a PRNG throughout by passing it to methods and
functions as an argument to generate random numbers without breaking the
sequence.

Change-Id: Ib024bbc1ea2d14e4b9afb71857856a5fb77b1667
This commit is contained in:
Sergiu Deitsch
2022-08-08 21:06:22 +02:00
committed by Sameer Agarwal
parent 79e403b15c
commit f1dfac8cd6
23 changed files with 186 additions and 140 deletions
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internal/ceres/numeric_diff_cost_function_test.cc
+8 -5
View File
@@ -1,5 +1,5 @@
// Ceres Solver - A fast non-linear least squares minimizer
// Copyright 2015 Google Inc. All rights reserved.
// Copyright 2022 Google Inc. All rights reserved.
// http://ceres-solver.org/
//
// Redistribution and use in source and binary forms, with or without
@@ -35,6 +35,7 @@
#include <array>
#include <cmath>
#include <memory>
#include <random>
#include <string>
#include <vector>
@@ -310,6 +311,7 @@ TEST(NumericDiffCostFunction, ExponentialCostFunctionRidders) {
}
TEST(NumericDiffCostFunction, RandomizedFunctorRidders) {
std::mt19937 prng;
NumericDiffOptions options;
// Larger initial step size is chosen to produce robust results in the
// presence of random noise.
@@ -321,15 +323,16 @@ TEST(NumericDiffCostFunction, RandomizedFunctorRidders) {
1, // number of residuals
1 // size of x1
>>(
new RandomizedFunctor(kNoiseFactor, kRandomSeed),
new RandomizedFunctor(kNoiseFactor, prng),
TAKE_OWNERSHIP,
1,
options);
RandomizedFunctor functor(kNoiseFactor, kRandomSeed);
RandomizedFunctor functor(kNoiseFactor, prng);
functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function);
}
TEST(NumericDiffCostFunction, RandomizedCostFunctionRidders) {
std::mt19937 prng;
NumericDiffOptions options;
// Larger initial step size is chosen to produce robust results in the
// presence of random noise.
@@ -341,12 +344,12 @@ TEST(NumericDiffCostFunction, RandomizedCostFunctionRidders) {
1, // number of residuals
1 // size of x1
>>(
new RandomizedCostFunction(kNoiseFactor, kRandomSeed),
new RandomizedCostFunction(kNoiseFactor, prng),
TAKE_OWNERSHIP,
1,
options);
RandomizedFunctor functor(kNoiseFactor, kRandomSeed);
RandomizedFunctor functor(kNoiseFactor, prng);
functor.ExpectCostFunctionEvaluationIsNearlyCorrect(*cost_function);
}