#!/usr/bin/env python3
"""
Simple GPU test for HuggingFace Spaces.
Run this in the HuggingFace Space terminal to verify GPU configuration.
"""

print("=== HuggingFace Space GPU Test ===\n")

# Test 1: PyTorch CUDA
print("1. PyTorch CUDA Test:")
try:
    import torch
    print(f"Is CUDA available: {torch.cuda.is_available()}")
    if torch.cuda.is_available():
        print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
        
        # Test computation
        x = torch.randn(1000, 1000).cuda()
        y = torch.matmul(x, x)
        print(f"GPU computation test: ✓ Success (computed 1000x1000 matrix multiplication)")
except ImportError:
    print("PyTorch not installed")
except Exception as e:
    print(f"Error: {e}")

print("\n2. SpaCy GPU Test:")
try:
    import spacy
    gpu_id = spacy.prefer_gpu()
    print(f"SpaCy GPU enabled: {gpu_id is not False}")
    if gpu_id is not False:
        print(f"Using GPU device: {gpu_id}")
except Exception as e:
    print(f"Error: {e}")

print("\n3. Quick Model Test:")
try:
    import spacy
    # This will use GPU if available
    nlp = spacy.load("en_core_web_trf")
    doc = nlp("This is a GPU test.")
    print(f"Model loaded and processed {len(doc)} tokens")
    print("✓ Transformer model working correctly")
except Exception as e:
    print(f"Error loading model: {e}")

print("\n=== Test Complete ===")