test_model.py

#!/usr/bin/env python3
"""
Japanese CLIP テストスクリプト
"""

import torch
from transformers import AutoTokenizer, AutoModel

def test_model_loading():
    """モデル読み込みテスト"""
    print("Testing model loading...")
    
    try:
        # モデルとトークナイザーの読み込み
        model = AutoModel.from_pretrained(".", trust_remote_code=True)
        tokenizer = AutoTokenizer.from_pretrained(".")
        
        print("✓ Model and tokenizer loaded successfully")
        
        # ダミーデータでテスト
        texts = ["テスト", "犬", "猫"]
        text_inputs = tokenizer(texts, padding=True, return_tensors="pt")
        
        # ダミー画像データ
        dummy_image = torch.randn(1, 3, 224, 224)
        
        with torch.no_grad():
            outputs = model(
                pixel_values=dummy_image,
                input_ids=text_inputs['input_ids'],
                attention_mask=text_inputs['attention_mask']
            )
            
            print(f"✓ Forward pass successful")
            print(f"  - Image features shape: {outputs['image_features'].shape}")
            print(f"  - Text features shape: {outputs['text_features'].shape}")
            print(f"  - Logits shape: {outputs['logits_per_image'].shape}")
            print(f"  - Temperature: {outputs['temperature'].item():.4f}")
        
        return True
        
    except Exception as e:
        print(f"✗ Test failed: {e}")
        return False

if __name__ == "__main__":
    success = test_model_loading()
    if success:
        print("\n🎉 All tests passed!")
    else:
        print("\n❌ Tests failed!")