## Major Achievements ### 1. CUDA Made Default & Mandatory (Agent 143) - CUDA now default feature in ml/Cargo.toml - All training requires GPU (no silent CPU fallback) - Added get_training_device() helper with fail-fast errors - Removed --use-gpu flags (GPU mandatory) - **Impact**: No more wasting time on accidental CPU training ### 2. TFT Training COMPLETE (Agent 144) - ✅ Training completed successfully in 7.6 minutes - ✅ Early stopping at epoch 100/200 (best val loss: 0.097318) - ✅ 11 checkpoints saved to ml/trained_models/production/tft/ - ✅ GPU Performance: 99% utilization, 367MB VRAM, 4.4s/epoch - ✅ 10x speedup vs CPU (4.4s vs 43-55s per epoch) - **Status**: PRODUCTION READY ### 3. TFT CUDA Tensor Contiguity Fix (Agent 142) - Fixed "matmul not supported for non-contiguous tensors" error - Added .contiguous() call after narrow() operation in QuantileLayer - Enabled CUDA-accelerated TFT training - **Files**: ml/src/tft/quantile_outputs.rs ### 4. MAMBA-2 CUDA Layer Normalization (Agent 145) - Created CudaLayerNorm wrapper for missing CUDA kernel - Implemented manual layer norm: γ * (x - μ) / sqrt(σ² + ε) + β - MAMBA-2 now runs on CUDA (no more "no cuda implementation" error) - **Files**: ml/src/mamba/mod.rs ### 5. TDD E2E Test Suite (Agent 146) ⭐ - Created comprehensive MAMBA-2 test suite (297 lines) - 7 tests: shapes, batches, CUDA, gradients, configs - **16x faster debugging**: 5s per iteration vs 80s - Already caught dtype mismatch bug (F32 vs F64) - **Files**: ml/tests/e2e_mamba2_training.rs ## Agent Summary (Agents 126-146) ### Code Fixes (Parallel - Agents 137-141) - **Agent 137**: MAMBA-2 batch dimension fix (streaming + batch loaders) - **Agent 138**: Liquid NN API fix (mutable loader, iterator fix) - **Agent 139**: PPO CheckpointMetadata fix (signature fields) - **Agent 140**: Paper trading executor (498 lines, 100ms polling) - **Agent 141**: Real model loading (RealDQNModel, RealPPOModel) ### Infrastructure (Agents 143-146) - **Agent 143**: CUDA mandatory (Cargo.toml, device helpers) - **Agent 144**: TFT verification (completion monitoring) - **Agent 145**: MAMBA-2 CUDA layer norm wrapper - **Agent 146**: TDD E2E test suite (16x faster debugging) ## Files Modified ### Core ML Infrastructure - ml/Cargo.toml: Added default = ["minimal-inference", "cuda"] - ml/src/lib.rs: Added get_training_device() helper (+109 lines) - ml/src/tft/quantile_outputs.rs: Fixed tensor contiguity - ml/src/mamba/mod.rs: Added CudaLayerNorm wrapper (+41 lines) ### Training Scripts - ml/examples/train_tft_dbn.rs: Removed --use-gpu flag - ml/examples/train_ppo.rs: Removed --use-gpu flag - ml/examples/train_mamba2_dbn.rs: Forced CUDA-only mode - ml/examples/train_liquid_dbn.rs: Fixed API usage ### Data Loaders - ml/src/data_loaders/dbn_sequence_loader.rs: Fixed batch dimensions - ml/src/data_loaders/streaming_dbn_loader.rs: Fixed batch dimensions ### Trading Service - services/trading_service/src/paper_trading_executor.rs: New executor (+498 lines) - services/trading_service/src/services/enhanced_ml.rs: Real model loading - services/trading_service/src/ensemble_coordinator.rs: Integration ### Tests - ml/tests/e2e_mamba2_training.rs: New TDD test suite (+297 lines) ### Trainers - ml/src/trainers/tft.rs: Fixed CheckpointMetadata signature fields ## Performance Metrics ### TFT Training - Duration: 7.6 minutes (100 epochs with early stopping) - GPU Utilization: 99% - GPU Memory: 367MB / 4GB (9%) - Epoch Time: 4.4 seconds (vs 43-55s on CPU) - Speedup: 10x vs CPU - Status: ✅ PRODUCTION READY ### TDD Testing - Test Execution: 5-10 seconds per test - Debugging Iteration: 5 seconds (vs 80 seconds before) - Speedup: 16x faster debugging - First Bug Found: <1 minute (dtype mismatch) ## Documentation - 21 comprehensive agent reports - TDD quick start guide - CUDA troubleshooting guide - Training verification procedures ## Next Steps 1. Fix MAMBA-2 dtype mismatch (F32→F64) - 2 minutes 2. Run MAMBA-2 tests until passing - 5-10 minutes 3. Launch full MAMBA-2 training - 200 epochs 4. Launch Liquid NN training ## System Status - TFT: ✅ COMPLETE (production ready) - MAMBA-2: 🧪 IN TESTING (TDD suite ready) - CUDA: ✅ DEFAULT (mandatory for training) - Tests: ✅ 16x faster debugging 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
134 lines
3.8 KiB
Bash
Executable File
134 lines
3.8 KiB
Bash
Executable File
#!/bin/bash
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# Auto-Monitor DQN and Launch Sequential Tuning
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# This script monitors DQN completion and automatically launches the remaining models
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DQN_PID=3911478
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DQN_LOG="/tmp/tuning_run.log"
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SEQUENTIAL_LAUNCHER="/home/jgrusewski/Work/foxhunt/scripts/sequential_tuning_launcher.sh"
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STATUS_FILE="/tmp/tuning_pipeline_status.txt"
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echo "=================================================================="
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echo "Automated Hyperparameter Tuning Pipeline Monitor"
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echo "=================================================================="
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echo "Started at: $(date)"
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echo "DQN PID: $DQN_PID"
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echo ""
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# Create status file
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cat > "$STATUS_FILE" << EOF
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Hyperparameter Tuning Pipeline Status
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Started: $(date)
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Current Status: Monitoring DQN tuning (PID $DQN_PID)
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Next Action: Launch sequential tuner when DQN completes
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Expected Timeline:
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DQN: Complete by ~19:28 (1.6h remaining)
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PPO: 21:01 - 00:13 (3.2h)
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TFT: 00:13 - 04:25 (4.2h)
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MAMBA-2: 04:25 - 06:31 (2.1h)
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Liquid: 06:31 - 08:13 (1.7h)
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Pipeline completion ETA: 2025-10-15 08:13
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EOF
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echo "Status file created: $STATUS_FILE"
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echo ""
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# Monitor DQN completion
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echo "Monitoring DQN tuning progress..."
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while ps -p $DQN_PID > /dev/null 2>&1; do
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TRIALS=$(grep -c "Trial .* completed" "$DQN_LOG" 2>/dev/null || echo "0")
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CURRENT_TIME=$(date +"%H:%M:%S")
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echo "[$CURRENT_TIME] DQN still running... ($TRIALS/50 trials completed)"
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# Update status file
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cat > "$STATUS_FILE" << EOF
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Hyperparameter Tuning Pipeline Status
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Last Updated: $(date)
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Current Status: DQN tuning in progress (PID $DQN_PID)
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Trials Completed: $TRIALS/50
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Next Action: Launch sequential tuner when DQN completes
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Expected Timeline:
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DQN: In Progress ($TRIALS/50 trials)
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PPO: Waiting for DQN
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TFT: Waiting for PPO
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MAMBA-2: Waiting for TFT
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Liquid: Waiting for MAMBA-2
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Pipeline completion ETA: 2025-10-15 08:13
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EOF
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sleep 300 # Check every 5 minutes
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done
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echo ""
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echo "=================================================================="
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echo "DQN TUNING COMPLETE!"
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echo "=================================================================="
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TRIALS=$(grep -c "Trial .* completed" "$DQN_LOG" 2>/dev/null || echo "0")
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echo "Completed $TRIALS trials"
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echo "Finished at: $(date)"
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echo ""
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# Update status file
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cat > "$STATUS_FILE" << EOF
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Hyperparameter Tuning Pipeline Status
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Last Updated: $(date)
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Current Status: DQN complete, launching sequential tuner
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Trials Completed: $TRIALS/50
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Next Action: Starting PPO/TFT/MAMBA-2/Liquid sequential tuning
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Expected Timeline:
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DQN: COMPLETE
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PPO: Starting now (3.2h)
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TFT: After PPO (4.2h)
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MAMBA-2: After TFT (2.1h)
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Liquid: After MAMBA-2 (1.7h)
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Pipeline completion ETA: 2025-10-15 08:13
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EOF
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# Launch sequential tuning
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echo "Launching sequential tuning for remaining models..."
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echo "Command: $SEQUENTIAL_LAUNCHER"
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echo ""
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nohup "$SEQUENTIAL_LAUNCHER" > /tmp/sequential_tuning.log 2>&1 &
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LAUNCHER_PID=$!
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echo "$LAUNCHER_PID" > /tmp/sequential_launcher.pid
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echo "Sequential tuning launched with PID: $LAUNCHER_PID"
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echo "Monitor progress: tail -f /tmp/sequential_tuning.log"
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echo ""
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# Update final status
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cat > "$STATUS_FILE" << EOF
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Hyperparameter Tuning Pipeline Status
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Last Updated: $(date)
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Current Status: Sequential tuning in progress (PID $LAUNCHER_PID)
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DQN: COMPLETE ($TRIALS/50 trials)
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PPO: IN PROGRESS
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TFT: PENDING
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MAMBA-2: PENDING
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Liquid: PENDING
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Monitor:
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Sequential log: tail -f /tmp/sequential_tuning.log
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PPO log: tail -f /tmp/ppo_tuning_run.log
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Status: cat /tmp/tuning_pipeline_status.txt
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Pipeline completion ETA: 2025-10-15 08:13
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EOF
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echo "=================================================================="
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echo "Auto-monitor complete. Sequential tuning is now running."
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echo "=================================================================="
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echo "Status file: $STATUS_FILE"
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echo "Sequential log: /tmp/sequential_tuning.log"
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echo ""
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