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refactor: address cppcheck performance warnings and enable performance static analysis

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AI-anonymous
2026-05-20 00:24:55 +02:00
parent 3b15770437
commit 3c6dc29f5a
4 changed files with 12 additions and 16 deletions
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2
.pre-commit-config.yaml
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@@ -25,7 +25,7 @@ repos:
language: system
types_or: [c++, c]
args: [
"--enable=warning,portability",
"--enable=warning,portability,performance",
"--suppress=missingIncludeSystem",
"--suppress=unusedFunction",
"--suppress=normalCheckLevelMaxBranches",

7
examples/pytorch_integration.cpp
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@@ -10,10 +10,9 @@
struct TinyNet : torch::nn::Module {
torch::nn::Linear fc1{nullptr}, fc2{nullptr};
TinyNet() {
fc1 = register_module("fc1", torch::nn::Linear(10, 32));
fc2 = register_module("fc2", torch::nn::Linear(32, 1));
}
TinyNet()
: fc1(register_module("fc1", torch::nn::Linear(10, 32))),
fc2(register_module("fc2", torch::nn::Linear(32, 1))) {}
torch::Tensor forward(torch::Tensor x) {
x = torch::relu(fc1->forward(x));

7
examples/telemetry_and_inference.cpp
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@@ -13,10 +13,9 @@
struct RegressionNet : torch::nn::Module {
torch::nn::Linear fc1{nullptr}, fc2{nullptr};
RegressionNet() {
fc1 = register_module("fc1", torch::nn::Linear(1, 16));
fc2 = register_module("fc2", torch::nn::Linear(16, 1));
}
RegressionNet()
: fc1(register_module("fc1", torch::nn::Linear(1, 16))),
fc2(register_module("fc2", torch::nn::Linear(16, 1))) {}
torch::Tensor forward(torch::Tensor x) {
x = torch::tanh(fc1->forward(x));

12
src/optimizer.cpp
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@@ -86,13 +86,11 @@ FCESOptimizer::FCESOptimizer(std::vector<torch::Tensor> params,
population_(config_.population_size, 10000, EliteStrategy::Cumulative,
false, false, false, false, false,
config_.direct_construction, config_.use_banach_fission),
fitness_engine_(config_.grokking_coefficient) {
evolution_manager_ = std::make_unique<EvolutionManager>(
population_, 50, config_.auto_population, config_.direct_construction);
spectral_sensor_ = std::make_unique<SpectralSensor>();
fitness_engine_(config_.grokking_coefficient),
evolution_manager_(std::make_unique<EvolutionManager>(
population_, 50, config_.auto_population,
config_.direct_construction)),
spectral_sensor_(std::make_unique<SpectralSensor>()) {
// Initial RAM backup
backup_to_ram();