nanochat/tests/CHECKLIST.md

Implementation Checklist

Files Created ✓

Core Module

• nanochat/auto_batch_size.py - Stub implementation with full interface

Unit Tests

• tests/test_auto_batch_size.py - 11 comprehensive unit tests

Integration Test Scripts

• tests/integration/test_single_gpu_discovery.sh (Test 6)
• tests/integration/test_manual_vs_auto.sh (Test 7)
• tests/integration/test_ddp_discovery.sh (Tests 8-9)
• tests/integration/test_throughput_comparison.sh (Test 10)
• tests/integration/test_stability_depth12.sh (Test 11)
• tests/integration/test_stability_depth20.sh (Test 12)
• tests/integration/test_stability_depth26.sh (Test 13)
• tests/integration/test_stability_depth32.sh (Test 14)
• tests/integration/test_overrides.sh (Tests 15-17)
• tests/integration/test_cache_mechanism.sh (Tests 18-20)
• tests/integration/test_failure_handling.sh (Tests 21-22)

Test Infrastructure

• tests/run_unit_tests.sh - Unit test runner
• tests/run_integration_tests.sh - Integration test orchestrator
• tests/make_executable.sh - Helper script

Documentation

• tests/README.md - User-facing documentation
• tests/TEST_PLAN.md - Detailed test specifications
• tests/IMPLEMENTATION_NOTES.md - Implementation details
• tests/QUICKSTART.md - Quick start guide
• tests/CHECKLIST.md - This file

Infrastructure

• tests/results/.gitkeep - Results directory
• tests/integration/.gitkeep - Integration tests directory
• Updated .gitignore to exclude test results
• Updated README.md to document tests

Test Coverage ✓

Unit Tests (5 Required, 11 Implemented)

• Test 1: Exponential Search Logic
• Test 2: Binary Search Refinement
• Test 3: Safety Margin Application
• Test 4: Cache Hit
• Test 4: Cache Miss
• Test 4: Cache Key Validation
• Test 5: DDP Broadcast (Rank 0)
• Test 5: DDP Broadcast (Non-zero rank)
• Min/Max Batch Size Constraints
• Discover with No Cache
• Cache Corruption Handling

Integration Tests (17 Required, All Implemented)

• Test 6: Basic Discovery Run
• Test 7: Manual vs Auto Comparison
• Test 8: DDP Discovery (2 GPUs)
• Test 9: DDP Discovery (4 GPUs)
• Test 10: Throughput Comparison
• Test 11: Stability (depth=12)
• Test 12: Stability (depth=20)
• Test 13: Stability (depth=26)
• Test 14: Stability (depth=32)
• Test 15: Manual Override
• Test 16: Disable Auto-Discovery
• Test 17: Custom Safety Margin
• Test 18: Cache Hit
• Test 19: Cache Key Validation
• Test 20: Cache Invalidation
• Test 21: Artificial Memory Constraint
• Test 22: Mid-Training Override Warning

Implementation Status

Completed ✓

• Stub module with full interface
• All unit tests
• All integration test scripts
• Test runners
• Documentation
• Results directory structure

Pending (Outside Scope)

• Full auto-discovery implementation (Task 41)
• Integration into training scripts (Task 45)
• GPU info detection for cache keys
• Real exponential + binary search
• Robust OOM detection

Verification Steps

Step 1: Make Scripts Executable

bash tests/make_executable.sh

Expected: All .sh files become executable

Step 2: Run Unit Tests

bash tests/run_unit_tests.sh

Expected: Most tests pass (some may have limitations due to stub)

Step 3: Verify File Structure

ls -R tests/

Expected: See all test files and directories

Step 4: Check Documentation

cat tests/README.md
cat tests/QUICKSTART.md

Expected: Complete documentation exists

Step 5: Try Quick Integration Test (if GPU available)

bash tests/integration/test_single_gpu_discovery.sh

Expected: Runs without errors (may not find optimal batch size with stub)

Success Criteria

Implementation Complete ✓

• All 22 test files created
• Test runners functional
• Documentation comprehensive
• Stub module provides expected interface

Tests Ready to Run ✓

• Unit tests can run on CPU
• Integration tests have proper structure
• Error handling and skipping works
• Results directory configured

Documentation Complete ✓

• README with usage instructions
• TEST_PLAN with specifications
• QUICKSTART for new users
• IMPLEMENTATION_NOTES for developers

Next Steps (For Full Implementation)

1. Implement Core Algorithms

   • Replace stub _perform_discovery() with real search
   • Implement exponential search (1, 2, 4, 8, ...)
   • Implement binary search refinement
   • Improve OOM detection in _test_batch_size()

2. Integrate with Training Scripts

   • Add --auto_batch_size flag to base_train.py
   • Add --batch_size_margin flag
   • Add discovery call before training loop
   • Add logging messages

3. Test and Validate

   • Run unit tests: bash tests/run_unit_tests.sh
   • Run integration tests: bash tests/run_integration_tests.sh
   • Verify all tests pass
   • Check performance improvements

4. Optimize and Polish

   • Tune safety margins
   • Optimize discovery speed
   • Add more error handling
   • Update documentation with results

File Count Summary

Category	Count
Core Module	1
Unit Test Files	1
Integration Test Scripts	11
Test Runners	3
Documentation Files	5
Infrastructure	2
Total	23

Line Count Estimate

File Type	Lines
Python (auto_batch_size.py)	~200
Python (test_auto_batch_size.py)	~350
Bash (integration tests)	~900
Bash (runners)	~150
Documentation (Markdown)	~1200
Total	~2800

Deliverables Summary

✅ All deliverables completed as specified in task:

• Stub auto_batch_size module with expected interface
• 11 unit tests covering all core functionality
• 11 integration test scripts (covering tests 6-22)
• Test execution infrastructure
• Comprehensive documentation (4 docs)
• Results directory structure
• CI-ready test suite

The testing infrastructure is complete and ready to validate the auto-discovery functionality once the full implementation is complete.