File size: 2,981 Bytes
5e4510c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 | #!/usr/bin/env python3
"""
Quick test to verify the setup is working correctly.
"""
import json
import subprocess
import sys
from pathlib import Path
def test_initial_program():
"""Test that initial_program.py works"""
print("Testing initial_program.py...")
try:
result = subprocess.run([sys.executable, "initial_program.py"],
capture_output=True, text=True, timeout=10)
if result.returncode == 0:
output = json.loads(result.stdout)
print(f"✅ Initial program works. Params: {len(output['params'])} parameters")
return True
else:
print(f"❌ Initial program failed: {result.stderr}")
return False
except Exception as e:
print(f"❌ Initial program error: {e}")
return False
def test_evaluator():
"""Test that evaluator.py works"""
print("Testing evaluator.py...")
try:
result = subprocess.run([sys.executable, "evaluator.py", "initial_program.py"],
capture_output=True, text=True, timeout=30)
if result.returncode == 0:
output = json.loads(result.stdout)
if "score" in output:
print(f"✅ Evaluator works. Score: {output['score']:.3f}")
return True
else:
print(f"❌ Evaluator missing score: {output}")
return False
else:
print(f"❌ Evaluator failed: {result.stderr}")
return False
except Exception as e:
print(f"❌ Evaluator error: {e}")
return False
def test_mlir_file():
"""Test that MLIR file exists and is valid"""
print("Testing MLIR baseline file...")
mlir_file = Path("mlir/baseline_attention.mlir")
if mlir_file.exists():
content = mlir_file.read_text()
if "func.func @baseline_attention" in content:
print("✅ MLIR file exists and looks valid")
return True
else:
print("❌ MLIR file missing expected content")
return False
else:
print("❌ MLIR file not found")
return False
def main():
"""Run all tests"""
print("🧪 Testing OpenEvolve attention optimization setup...")
print("=" * 50)
tests = [
test_mlir_file,
test_initial_program,
test_evaluator
]
passed = 0
for test in tests:
if test():
passed += 1
print()
print("=" * 50)
print(f"Tests passed: {passed}/{len(tests)}")
if passed == len(tests):
print("🎉 Setup is ready! You can now run:")
print("python ../../openevolve-run.py initial_program.py evaluator.py --config config.yaml --iterations 10")
else:
print("❌ Setup needs fixing before running evolution")
return passed == len(tests)
if __name__ == "__main__":
main() |