Files
foxhunt/ml/tests/lr_scheduler_tests.rs
jgrusewski ac0a83e4f7 refactor(ml): reorganize tests — move integration tests to ml/tests/
Move test files from ml/src/*/tests/ to ml/tests/. Convert
crate-internal imports to public API imports. Rename files to
follow naming conventions (no wave/priority prefixes).

Files moved:
- ml/src/dqn/tests/ -> ml/tests/ (4 files)
- ml/src/trainers/dqn/tests/ -> ml/tests/ (5 files)

Renames:
- target_update_comprehensive_tests.rs -> target_update_tests.rs
- p0_integration_tests.rs -> dqn_trainer_integration_tests.rs
- p1_integration_tests.rs -> dqn_trainer_p1_tests.rs
- ensemble_uncertainty_hyperopt_tests.rs -> ensemble_hyperopt_tests.rs

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-20 14:07:22 +01:00

245 lines
6.0 KiB
Rust

//! TDD Tests for Learning Rate Scheduler with Warmup
//!
//! Tests cover:
//! - Linear warmup period
//! - Constant learning rate
//! - Linear decay
//! - Cosine annealing decay
//! - Edge cases (warmup_steps=0, step boundaries)
use ml::trainers::dqn::lr_scheduler::{LRDecayType, LRScheduler};
#[test]
fn test_lr_scheduler_constant() {
let scheduler = LRScheduler::new(0.001, 0, LRDecayType::Constant);
assert_eq!(scheduler.get_lr(), 0.001);
// Step forward and verify LR stays constant
let mut scheduler = scheduler;
scheduler.step();
assert_eq!(scheduler.get_lr(), 0.001);
scheduler.step();
assert_eq!(scheduler.get_lr(), 0.001);
for _ in 0..100 {
scheduler.step();
}
assert_eq!(scheduler.get_lr(), 0.001);
}
#[test]
fn test_lr_scheduler_linear_warmup() {
let initial_lr = 0.001;
let warmup_steps = 10;
let scheduler = LRScheduler::new(initial_lr, warmup_steps, LRDecayType::Constant);
// Step 0: 0% warmup
assert_eq!(scheduler.get_lr(), 0.0);
// Step 1: 10% warmup
let mut scheduler = scheduler;
scheduler.step();
assert!((scheduler.get_lr() - 0.0001).abs() < 1e-6);
// Step 5: 50% warmup
for _ in 0..4 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.0005).abs() < 1e-6);
// Step 10: 100% warmup (full LR)
for _ in 0..5 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.001).abs() < 1e-6);
// Step 11+: stays at full LR (constant decay mode)
scheduler.step();
assert_eq!(scheduler.get_lr(), 0.001);
}
#[test]
fn test_lr_scheduler_linear_decay() {
let initial_lr = 0.001;
let warmup_steps = 5;
let total_steps = 100;
let end_lr = 0.0001;
let scheduler = LRScheduler::new(
initial_lr,
warmup_steps,
LRDecayType::Linear { end_lr, total_steps },
);
// Step 0: warmup (0%)
assert_eq!(scheduler.get_lr(), 0.0);
// Step 5: end of warmup (100%)
let mut scheduler = scheduler;
for _ in 0..5 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.001).abs() < 1e-6);
// Step 50: halfway through decay
for _ in 0..45 {
scheduler.step();
}
let expected_lr = 0.001 - (0.001 - 0.0001) * (50 - 5) as f64 / (100 - 5) as f64;
assert!((scheduler.get_lr() - expected_lr).abs() < 1e-6);
// Step 100: end of decay
for _ in 0..50 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.0001).abs() < 1e-6);
// Step 101+: stays at end_lr
scheduler.step();
assert!((scheduler.get_lr() - 0.0001).abs() < 1e-6);
}
#[test]
fn test_lr_scheduler_cosine_decay() {
let initial_lr = 0.001;
let warmup_steps = 5;
let total_steps = 100;
let min_lr = 0.0001;
let scheduler = LRScheduler::new(
initial_lr,
warmup_steps,
LRDecayType::Cosine { min_lr, total_steps },
);
// Step 0: warmup (0%)
assert_eq!(scheduler.get_lr(), 0.0);
// Step 5: end of warmup (100%)
let mut scheduler = scheduler;
for _ in 0..5 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.001).abs() < 1e-6);
// Step 6: start of cosine decay
scheduler.step();
let lr_after_warmup = scheduler.get_lr();
assert!(lr_after_warmup < 0.001); // Should start decaying
assert!(lr_after_warmup > 0.0001); // But still above min
// Step 100: end of decay (should be at min_lr)
for _ in 0..94 {
scheduler.step();
}
assert!((scheduler.get_lr() - 0.0001).abs() < 1e-5);
// Step 101+: stays at min_lr
scheduler.step();
assert!((scheduler.get_lr() - 0.0001).abs() < 1e-5);
}
#[test]
fn test_lr_scheduler_no_warmup() {
let initial_lr = 0.001;
let warmup_steps = 0;
let total_steps = 50;
let end_lr = 0.0001;
let scheduler = LRScheduler::new(
initial_lr,
warmup_steps,
LRDecayType::Linear { end_lr, total_steps },
);
// Step 0: no warmup, immediately at initial_lr
assert_eq!(scheduler.get_lr(), 0.001);
// Step 25: halfway through decay
let mut scheduler = scheduler;
for _ in 0..25 {
scheduler.step();
}
let expected_lr = 0.001 - (0.001 - 0.0001) * 0.5;
assert!((scheduler.get_lr() - expected_lr).abs() < 1e-6);
}
#[test]
fn test_lr_scheduler_cosine_shape() {
let initial_lr = 1.0;
let warmup_steps = 0;
let total_steps = 100;
let min_lr = 0.0;
let mut scheduler = LRScheduler::new(
initial_lr,
warmup_steps,
LRDecayType::Cosine { min_lr, total_steps },
);
// Step 0: initial_lr
assert_eq!(scheduler.get_lr(), 1.0);
// Step 25: ~75% of initial_lr (cosine is slow at start)
for _ in 0..25 {
scheduler.step();
}
let lr_25 = scheduler.get_lr();
assert!(lr_25 > 0.7 && lr_25 < 0.9);
// Step 50: ~50% of initial_lr (cosine at midpoint)
for _ in 0..25 {
scheduler.step();
}
let lr_50 = scheduler.get_lr();
assert!(lr_50 > 0.4 && lr_50 < 0.6);
// Step 75: ~25% of initial_lr (cosine is fast at end)
for _ in 0..25 {
scheduler.step();
}
let lr_75 = scheduler.get_lr();
assert!(lr_75 > 0.1 && lr_75 < 0.3);
// Step 100: min_lr
for _ in 0..25 {
scheduler.step();
}
assert!(scheduler.get_lr().abs() < 1e-5);
}
#[test]
fn test_lr_scheduler_reset() {
let initial_lr = 0.001;
let warmup_steps = 5;
let mut scheduler = LRScheduler::new(initial_lr, warmup_steps, LRDecayType::Constant);
// Step forward
for _ in 0..10 {
scheduler.step();
}
assert_eq!(scheduler.get_lr(), 0.001);
// Reset
scheduler.reset();
assert_eq!(scheduler.get_current_step(), 0);
assert_eq!(scheduler.get_lr(), 0.0); // Back to warmup start
}
#[test]
fn test_lr_scheduler_get_current_step() {
let mut scheduler = LRScheduler::new(0.001, 0, LRDecayType::Constant);
assert_eq!(scheduler.get_current_step(), 0);
scheduler.step();
assert_eq!(scheduler.get_current_step(), 1);
for _ in 0..99 {
scheduler.step();
}
assert_eq!(scheduler.get_current_step(), 100);
}