mirror of https://github.com/inclusionAI/AReaL
107 lines
3.4 KiB
Python
107 lines
3.4 KiB
Python
import queue
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import sys
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import threading
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import time
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from typing import Any, List, Optional
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from torch.utils.data import ConcatDataset, Dataset
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from realhf.api.core.config import DatasetAbstraction
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from realhf.api.core.data_api import (
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DatasetUtility,
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SequenceSample,
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make_dataset,
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register_dataset,
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)
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from realhf.base import constants, logging
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from realhf.system.push_pull_stream import NameResolvingZmqPuller
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logger = logging.getLogger("StreamDataset")
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class PullerStreamDataset(Dataset):
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def __init__(
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self,
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util: DatasetUtility,
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dataset_cfgs: List[DatasetAbstraction],
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pull_timeout_ms=100,
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):
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# This dataset is just used for computing the dataset size,
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# and the number of steps per epoch.
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datasets = [
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make_dataset(
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dataset_cfg,
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seed=util.seed,
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dp_rank=util.dp_rank,
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world_size=util.world_size,
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tokenizer_or_tokenizer_name=util.tokenizer,
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experiment_name=constants.experiment_name(),
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trial_name=constants.trial_name(),
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)
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for dataset_cfg in dataset_cfgs
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]
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if len(datasets) == 1:
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dataset = datasets[0]
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else:
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dataset = ConcatDataset(datasets)
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self.dataset_size = len(dataset)
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del dataset, datasets
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self.pull_timeout_ms = pull_timeout_ms
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self.data_queue = queue.Queue(maxsize=self.dataset_size * util.world_size)
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self._stop_event = threading.Event()
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# Pass ZMQ context (thread-safe) and let worker create the socket
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self.util = util
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self.worker_thread = threading.Thread(target=self._pull_data_worker)
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self.worker_thread.start()
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def _pull_data_worker(self):
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"""Worker thread that creates its own ZMQ puller and streams data."""
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# Initialize the puller inside the worker thread
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stream = NameResolvingZmqPuller(
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constants.experiment_name(),
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constants.trial_name(),
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puller_index=self.util.dp_rank,
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)
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try:
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while not self._stop_event.is_set():
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try:
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data = stream.pull(timeout_ms=self.pull_timeout_ms)
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processed_data = [
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SequenceSample.from_json_compatible(x) for x in data
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]
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logger.debug(
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f"Get data {[x.ids[0] for x in processed_data]} from puller stream."
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)
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self.data_queue.put(processed_data)
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except queue.Empty:
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logger.debug(f"No data from puller stream.")
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time.sleep(0.1)
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continue
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finally:
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# Ensure socket is closed in the same thread
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del stream
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# Exit if this thread has an error
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sys.exit(1)
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def __getitem__(self, idx: int) -> Optional[Any]:
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samples = []
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while True:
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try:
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samples += self.data_queue.get_nowait()
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except queue.Empty:
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break
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return samples
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def __len__(self) -> int:
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return self.dataset_size
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def __del__(self):
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self._stop_event.set()
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if self.worker_thread.is_alive():
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self.worker_thread.join(timeout=1.0)
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register_dataset("puller_stream", PullerStreamDataset)
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