Files
foxhunt/archive/scripts/verify_hyperopt_training.sh
jgrusewski 2df1ea92e1 feat(ml): WAVE 29 DQN Codebase Cleanup & Refactoring Campaign
BREAKING CHANGES:
- Removed orphaned dqn.rs monolithic trainer (4,975 lines)
- Removed orphaned dqn_ensemble.rs module (816 lines)
- Removed orphaned tft.rs and tft_complete_int8_integration_test.rs
- TFT trainer split into modular directory structure

DQN Module Refactoring:
- Split trainers/dqn.rs into modular structure (config.rs, statistics.rs, trainer.rs)
- Fixed hyperopt 39D search space (continuous params only)
- Boolean flags (use_dueling, use_double_dqn, use_per, use_noisy_nets) are now FIXED architectural decisions
- use_distributional defaults to false (Candle BUG #36 - scatter_add gradient issues)

Clean Module Structure:
- ml/src/trainers/dqn/ directory with proper mod.rs exports
- ml/src/trainers/tft/ directory with config.rs, types.rs, model.rs, trainer.rs, tests.rs
- All P0 features validated: TD-error clamping, batch diversity, LR scheduler, priority staleness

Documentation:
- Added comprehensive docs in docs/codebase-cleanup/
- ADR-001 for DQN refactoring decisions
- Rainbow DQN component matrix and quick reference guides

Build Status: Compiles with zero errors

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-27 23:46:13 +01:00

60 lines
1.9 KiB
Bash
Executable File

#!/bin/bash
# Verify hyperopt training is actually running (not just pod running)
source .env.runpod
DQN_POD_ID="dy2bn5ninzaxma"
PPO_POD_ID="dytpb1mcqwj54t"
echo "========================================="
echo "VERIFYING HYPEROPT TRAINING EXECUTION"
echo "========================================="
echo ""
# Wait for pods to initialize
echo "Waiting 30 seconds for pods to initialize..."
sleep 30
echo ""
echo "Checking DQN pod logs for training activity..."
echo "----------------------------------------"
DQN_LOGS=$(curl -s "https://www.runpod.io/console/pods/${DQN_POD_ID}/logs" 2>/dev/null || echo "Log API not accessible")
if echo "$DQN_LOGS" | grep -q "hyperopt_dqn_demo"; then
echo "✅ DQN training command detected"
elif echo "$DQN_LOGS" | grep -q "Trial"; then
echo "✅ DQN trials running"
else
echo "⚠️ Cannot verify DQN training from logs (check dashboard)"
fi
echo ""
echo "Checking PPO pod logs for training activity..."
echo "----------------------------------------"
PPO_LOGS=$(curl -s "https://www.runpod.io/console/pods/${PPO_POD_ID}/logs" 2>/dev/null || echo "Log API not accessible")
if echo "$PPO_LOGS" | grep -q "hyperopt_ppo_demo"; then
echo "✅ PPO training command detected"
elif echo "$PPO_LOGS" | grep -q "Trial"; then
echo "✅ PPO trials running"
else
echo "⚠️ Cannot verify PPO training from logs (check dashboard)"
fi
echo ""
echo "========================================="
echo "MANUAL VERIFICATION"
echo "========================================="
echo ""
echo "Check DQN logs manually:"
echo " https://www.runpod.io/console/pods/${DQN_POD_ID}"
echo ""
echo "Check PPO logs manually:"
echo " https://www.runpod.io/console/pods/${PPO_POD_ID}"
echo ""
echo "Look for:"
echo " - 'Starting hyperopt_*_demo' messages"
echo " - 'Trial 1/50' progress indicators"
echo " - GPU memory allocation logs"
echo " - No error messages (OOM, CUDA errors)"
echo ""