import torch

CRITICAL_RESERVED_MB = 3500


def check_vram_usage() -> None:
    if not torch.cuda.is_available():
        print("❌ CUDA aktif değil, VRAM ölçülemez.")
        return

    allocated = torch.cuda.memory_allocated(0) / (1024 ** 2)
    reserved = torch.cuda.memory_reserved(0) / (1024 ** 2)
    total_capacity = torch.cuda.get_device_properties(0).total_memory / (1024 ** 2)
    free_estimate = total_capacity - reserved

    print("=" * 40)
    print(f"📟 GPU: {torch.cuda.get_device_name(0)}")
    print(f"📊 Toplam VRAM: {total_capacity:.2f} MB")
    print(f"🔥 Şu An Ayrılan (Allocated): {allocated:.2f} MB")
    print(f"🛡️ Rezerve Edilen (Reserved): {reserved:.2f} MB")
    print(f"🆓 Boş Alan (Tahmini): {free_estimate:.2f} MB")

    if reserved >= CRITICAL_RESERVED_MB:
        print(f"⚠️ Kritik Eşik Aşıldı: Reserved >= {CRITICAL_RESERVED_MB} MB")
    else:
        print(f"✅ Güvenli Bölge: Reserved < {CRITICAL_RESERVED_MB} MB")

    print("=" * 40)


if __name__ == "__main__":
    check_vram_usage()