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#!/usr/bin/env python3
"""
Test script to verify the complete AlphaEvolve setup works
"""
import sys
import json
from pathlib import Path
def test_evaluator():
"""Test the evaluator with a simple program"""
print("🧪 Testing evaluator...")
# Simple test program
test_program = '''
def optimize_attention():
return {
'tile_size_m': 32,
'tile_size_n': 64,
'vectorization': 'none',
'unroll_factor': 2,
'loop_interchange': False,
'fusion_strategy': 'none',
'use_shared_memory': False,
'optimize_for_latency': True,
'enable_blocking': False,
'enable_recomputation': False,
'optimization_strategy': 'alphaevolve_test',
'target_speedup': 1.32,
}
'''
try:
# Import the evaluator
sys.path.insert(0, '.')
from evaluator import evaluate_program
print("✅ Evaluator imported successfully")
# Test evaluation
result = evaluate_program(test_program)
if 'error' in result:
print(f"📊 Evaluation result: error={result['error']:.3f}")
if 'speedup' in result:
print(f"📊 Speedup: {result['speedup']:.3f}x")
if 'mlir_source' in result:
print(f"📂 MLIR source: {result['mlir_source']}")
if result['error'] < 1000:
print("✅ Evaluator works!")
return True
else:
print(f"❌ Evaluator failed: {result}")
return False
else:
print(f"❌ Invalid result format: {result}")
return False
except Exception as e:
print(f"❌ Evaluator test failed: {e}")
return False
def test_initial_program():
"""Test the initial program generates parameters"""
print("\n🧪 Testing initial program...")
try:
sys.path.insert(0, '.')
from initial_program import optimize_attention
params = optimize_attention()
print("✅ Initial program imported successfully")
print(f"📊 Generated parameters: {list(params.keys())}")
# Check required parameters
required = ['tile_size_m', 'tile_size_n', 'unroll_factor']
for param in required:
if param in params:
print(f"✅ {param}: {params[param]}")
else:
print(f"❌ Missing parameter: {param}")
return False
return True
except Exception as e:
print(f"❌ Initial program test failed: {e}")
return False
def test_mlir_file():
"""Test that the MLIR file exists and is readable"""
print("\n🧪 Testing MLIR file...")
mlir_file = Path("./mlir/self_attn_with_consts_linalg_dialect.mlir")
if mlir_file.exists():
print(f"✅ MLIR file exists: {mlir_file}")
try:
with open(mlir_file, 'r') as f:
content = f.read()
print(f"✅ MLIR file readable: {len(content)} characters")
# Check for fixed tensor.expand_shape syntax
if 'output_shape' in content:
print("✅ tensor.expand_shape syntax is fixed")
else:
print("⚠️ tensor.expand_shape may need fixing")
return True
except Exception as e:
print(f"❌ Cannot read MLIR file: {e}")
return False
else:
print(f"❌ MLIR file not found: {mlir_file}")
return False
def main():
"""Run all tests"""
print("🚀 Testing Complete AlphaEvolve Setup\n")
tests = [
("MLIR File", test_mlir_file),
("Initial Program", test_initial_program),
("Evaluator", test_evaluator),
]
results = []
for test_name, test_func in tests:
success = test_func()
results.append((test_name, success))
# Summary
print(f"\n{'='*50}")
print("TEST SUMMARY")
print('='*50)
passed = 0
for test_name, success in results:
status = "✅ PASS" if success else "❌ FAIL"
print(f"{status:8} {test_name}")
if success:
passed += 1
print(f"\nResults: {passed}/{len(results)} tests passed")
if passed == len(results):
print("\n🎉 All tests passed! Ready to run AlphaEvolve!")
print("\n🚀 Run evolution with:")
print(" python ../../openevolve-run.py initial_program.py evaluator.py --config config.yaml --iterations 10")
print("\n🎯 Target: Achieve 32% speedup (1.32x) like AlphaEvolve paper")
else:
print(f"\n⚠️ {len(results) - passed} test(s) failed. Fix issues before running evolution.")
return passed == len(results)
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1) |