f946dcd952
WAVE 22: All examples, benchmarks, and data loaders updated Files Modified (41 files): - DQN examples: 7 files (train_dqn, evaluate_dqn, validate_dqn, etc.) - PPO examples: 6 files (train_ppo, continuous_ppo, benchmark_ppo, etc.) - TFT examples: 9 files (train_tft, validate_tft, benchmark_tft, etc.) - MAMBA-2 examples: 3 files (train_mamba2, verify_dimensions, etc.) - Benchmarks: 5 files (cuda_speedup, weight_caching, future_decoder, etc.) - Data loaders: 7 files (parquet_utils, dbn_sequence_loader, tlob_loader, etc.) - Integration: 4 files (load_parquet_data, streaming loaders, etc.) Key Changes: - state_dim: 225 → 54 (DQN, PPO) - input_dim: 225 → 54 (TFT) - d_model: 225 → 54 (MAMBA-2) - Memory: 1.8KB → 0.43KB per vector (76% reduction) - All tensor shapes updated: (batch, 225) → (batch, 54) Agents Deployed: 5 parallel agents Validation: cargo check PASSING Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
38 lines
1.3 KiB
Rust
38 lines
1.3 KiB
Rust
//! Feature Count Checker
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//!
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//! Simple utility to check the current feature count configuration
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//! Used by rollback tests to validate feature-only rollback
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use ml::features::config::FeatureConfig;
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fn main() {
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// Check Wave A
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let wave_a = FeatureConfig::wave_a();
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println!("Wave A: feature_count: {}", wave_a.feature_count());
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// Check Wave B
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let wave_b = FeatureConfig::wave_b();
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println!("Wave B: feature_count: {}", wave_b.feature_count());
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// Check Wave C
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let wave_c = FeatureConfig::wave_c();
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println!("Wave C: feature_count: {}", wave_c.feature_count());
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// Check Wave D (this is what we test during rollback)
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let wave_d = FeatureConfig::wave_d();
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println!("Wave D: feature_count: {}", wave_d.feature_count());
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println!("Wave D regime enabled: {}", wave_d.enable_wave_d_regime);
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// Exit code based on Wave D config
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if wave_d.feature_count() == 201 && !wave_d.enable_wave_d_regime {
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println!("\n✅ Wave D rolled back to Wave C (201 features)");
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std::process::exit(0);
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} else if wave_d.feature_count() == 54 && wave_d.enable_wave_d_regime {
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println!("\n✅ Wave D active (54 features)");
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std::process::exit(0);
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} else {
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println!("\n⚠ Unexpected configuration state");
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std::process::exit(1);
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}
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}
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