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[xpu] use cpu barrier (#4181)

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zhupengyang
2025-09-23 12:19:03 +08:00
committed by GitHub
parent 813befadfa
commit 9082f625ba
2 changed files with 17 additions and 2 deletions
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10
fastdeploy/worker/worker_process.py
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@@ -256,6 +256,12 @@ class PaddleDisWorkerProc:
paddle.distributed.broadcast(model_weights_signal_tensor, src=src, group=group)
return model_weights_signal_tensor.item()
def _tp_barrier_wait(self):
if current_platform.is_xpu():
self.task_queue.worker_process_tp_barrier.wait()
else:
paddle.distributed.barrier(self.parallel_config.tp_group)
def event_loop_normal(self) -> None:
"""Main event loop for Paddle Distributed Workers.
TODO(gongshaotian): support remote calling of functions that control worker.
@@ -299,7 +305,7 @@ class PaddleDisWorkerProc:
if self.parallel_config.tensor_parallel_size > 1:
# Synchronize the signal for other workers
paddle.distributed.barrier(self.parallel_config.tp_group)
self._tp_barrier_wait()
if self.fd_config.load_config.dynamic_load_weight:
if self.parallel_config.enable_expert_parallel:
@@ -350,7 +356,7 @@ class PaddleDisWorkerProc:
if (not self.parallel_config.use_ep) and (not self.worker.model_runner.not_need_stop()):
if self.ranks > 1:
paddle.distributed.barrier(self.parallel_config.tp_group)
self._tp_barrier_wait()
time.sleep(0.001)
continue