Files
foxhunt/scripts/quick_status.sh
jgrusewski 35feadf55e 🚀 Wave 160 Phase 6: CUDA Mandatory + TDD Testing + TFT Complete (21 Agents)
## 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>
2025-10-14 23:13:34 +02:00

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#!/bin/bash
# Quick Status Checker - Run anytime to see current tuning status
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo " HYPERPARAMETER TUNING PIPELINE - QUICK STATUS"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo "Timestamp: $(date)"
echo ""
# GPU Status
echo "🎮 GPU:"
nvidia-smi --query-gpu=utilization.gpu,memory.used,memory.total,temperature.gpu --format=csv,noheader | \
awk -F', ' '{printf " Utilization: %s | Memory: %s/%s | Temp: %s\n", $1, $2, $3, $4}'
echo ""
# DQN Status
echo "🤖 DQN:"
if ps -p 3911478 > /dev/null 2>&1; then
DQN_TRIALS=$(grep -c "Trial .* completed" /tmp/tuning_run.log 2>/dev/null || echo "0")
DQN_RUNTIME=$(ps -p 3911478 -o etime --no-headers | xargs)
DQN_PCT=$(echo "scale=1; $DQN_TRIALS*100/50" | bc)
echo " Status: ⏳ RUNNING | Progress: $DQN_TRIALS/50 ($DQN_PCT%) | Runtime: $DQN_RUNTIME"
LAST=$(grep "Trial .* completed" /tmp/tuning_run.log 2>/dev/null | tail -1 | grep -oP "Trial \d+" | tail -1)
SHARPE=$(grep "Trial .* completed" /tmp/tuning_run.log 2>/dev/null | tail -1 | grep -oP "Sharpe=[0-9.]+")
echo " Last: $LAST | $SHARPE"
else
echo " Status: ✅ COMPLETE or ❌ STOPPED"
fi
echo ""
# Other Models
for MODEL in PPO TFT MAMBA2 Liquid; do
MODEL_LOWER=$(echo $MODEL | tr '[:upper:]' '[:lower:]')
PID_FILE="/tmp/${MODEL_LOWER}_tuning.pid"
LOG_FILE="/tmp/${MODEL_LOWER}_tuning_run.log"
echo "🤖 $MODEL:"
if [ -f "$PID_FILE" ]; then
PID=$(cat "$PID_FILE")
if ps -p $PID > /dev/null 2>&1; then
TRIALS=$(grep -c "Trial .* completed" "$LOG_FILE" 2>/dev/null || echo "0")
RUNTIME=$(ps -p $PID -o etime --no-headers | xargs)
PCT=$(echo "scale=1; $TRIALS*100/50" | bc)
echo " Status: ⏳ RUNNING | Progress: $TRIALS/50 ($PCT%) | Runtime: $RUNTIME"
else
TRIALS=$(grep -c "Trial .* completed" "$LOG_FILE" 2>/dev/null || echo "0")
if [ "$TRIALS" -gt 0 ]; then
echo " Status: ✅ COMPLETE | Trials: $TRIALS/50"
else
echo " Status: ❌ STOPPED/FAILED"
fi
fi
else
echo " Status: ⏳ PENDING (not started)"
fi
echo ""
done
# Auto-Monitor Status
echo "🔧 Auto-Monitor:"
if ps aux | grep -v grep | grep "auto_monitor_and_launch.sh" > /dev/null; then
echo " Status: ✅ RUNNING"
else
echo " Status: ❌ STOPPED"
fi
echo ""
# Results Files
echo "📊 Results Files:"
for MODEL in dqn ppo tft mamba2 liquid; do
FILE="results/${MODEL}_tuning_50trials.json"
if [ -f "$FILE" ]; then
SIZE=$(ls -lh "$FILE" | awk '{print $5}')
echo "$FILE ($SIZE)"
else
echo "$FILE (not created yet)"
fi
done
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
echo "Commands:"
echo " Full dashboard: watch -n 30 /home/jgrusewski/Work/foxhunt/scripts/dashboard_monitor.sh"
echo " DQN log: tail -f /tmp/tuning_run.log"
echo " Pipeline status: cat /tmp/tuning_pipeline_status.txt"
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"