| 32 | |
| 33 | |
| 34 | class IluvatarWorker(GpuWorker): |
| 35 | """ """ |
| 36 | |
| 37 | def __init__( |
| 38 | self, |
| 39 | fd_config: FDConfig, |
| 40 | local_rank: int, |
| 41 | rank: int, |
| 42 | ): |
| 43 | if fd_config.model_config.enable_mm: |
| 44 | paddle.set_flags({"FLAGS_enable_ixattnbkd": True, "FLAGS_enable_ixdnn_attn": False}) |
| 45 | super(IluvatarWorker, self).__init__( |
| 46 | fd_config=fd_config, |
| 47 | local_rank=local_rank, |
| 48 | rank=rank, |
| 49 | ) |
| 50 | |
| 51 | def init_device(self): |
| 52 | """ |
| 53 | Initialize device and construct model runner |
| 54 | """ |
| 55 | if paddle.is_compiled_with_custom_device("iluvatar_gpu"): |
| 56 | # Set environment variable |
| 57 | self.device = f"iluvatar_gpu:{self.local_rank}" |
| 58 | paddle.device.set_device(self.device) |
| 59 | paddle.set_default_dtype(self.model_config.dtype) |
| 60 | self.device_ids = self.parallel_config.device_ids.split(",") |
| 61 | |
| 62 | gc.collect() |
| 63 | else: |
| 64 | raise RuntimeError(f"Not support device type: {self.device_config.device}") |
| 65 | |
| 66 | set_random_seed(self.fd_config.model_config.seed) |
| 67 | # Construct model runner |
| 68 | self.model_runner: IluvatarModelRunner = IluvatarModelRunner( |
| 69 | fd_config=self.fd_config, |
| 70 | device=self.device, |
| 71 | device_id=self.device_ids[self.local_rank], |
| 72 | rank=self.rank, |
| 73 | local_rank=self.local_rank, |
| 74 | ) |
| 75 | |
| 76 | def determine_available_memory(self) -> int: |
| 77 | """ |
| 78 | Profiles the peak memory usage of the model to determine how much |
| 79 | memory can be used for KV cache without OOMs. |
| 80 | |
| 81 | The engine will first conduct a profiling of the existing memory usage. |
| 82 | Then, it calculate the maximum possible number of GPU and CPU blocks |
| 83 | that can be allocated with the remaining free memory. |
| 84 | |
| 85 | Tip: |
| 86 | You may limit the usage of GPU memory |
| 87 | by adjusting the `gpu_memory_utilization` parameter. |
| 88 | """ |
| 89 | # 1. Record memory state before profile run |
| 90 | return int(float(os.getenv("FD_ILUVATAR_KVCACHE_MEM", "3")) * 1024**3) |
| 91 | |