mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
[fix] fix clear/update lock not working when workers > 1
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@@ -16,12 +16,12 @@
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import inspect
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import os
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import threading
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import time
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import traceback
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import uuid
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import numpy as np
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from filelock import FileLock
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from fastdeploy import envs
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from fastdeploy.config import ModelConfig
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@@ -137,7 +137,7 @@ class EngineClient:
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pid, max_connections=int(os.getenv("FD_DEALER_CONNECTIONS", 50))
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)
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self.connection_initialized = False
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self.clear_update_lock = threading.Lock()
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self.clear_update_lock = FileLock(f"/tmp/fd_weight_clear_update_lock__pid{pid}_port{port}.lock")
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def create_zmq_client(self, model, mode):
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"""
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@@ -337,7 +337,9 @@ class EngineClient:
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.NORMAL:
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return True, ""
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.UPDATING:
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return False, "updating model weight already"
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return False, "worker is updating model weight already"
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.CLEARING:
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return False, "worker is clearing model weight, cannot update now"
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self.model_weights_status_signal.value[0] = ModelWeightsStatus.UPDATING
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if self.enable_prefix_caching or self.enable_splitwise:
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@@ -381,7 +383,9 @@ class EngineClient:
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.CLEARED:
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return True, ""
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.CLEARING:
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return False, "clearing model weight already"
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return False, "worker is clearing model weight already"
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if self.model_weights_status_signal.value[0] == ModelWeightsStatus.UPDATING:
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return False, "worker is updating model weight, cannot clear now"
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self.model_weights_status_signal.value[0] = ModelWeightsStatus.CLEARING
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if self.enable_prefix_caching or self.enable_splitwise:
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@@ -217,26 +217,17 @@ class DynamicWeightManager:
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check model weights status
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"""
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logger.info(f"dynamic weight manager is check model weights status! {model_weights_status.value[0]}")
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is_stop = 0
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while model_weights_status.value[0] != ModelWeightsStatus.NORMAL:
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if model_weights_status.value[0] == ModelWeightsStatus.UPDATING:
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logger.info("infer engine stopped! start to load new checkpoint...")
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model_runner.update_parameters(pid)
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while model_weights_status.value[0] != ModelWeightsStatus.NORMAL:
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time.sleep(0.01)
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logger.info("finished loading new checkpoint")
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elif model_weights_status.value[0] == ModelWeightsStatus.CLEARING:
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logger.info("infer engine stopped! start to clear checkpoint...")
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model_runner.clear_parameters(pid)
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elif model_weights_status.value[0] == ModelWeightsStatus.CLEARED:
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while True:
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if model_weights_status.value[0] == ModelWeightsStatus.NORMAL:
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logger.info("finished loading new checkpoint")
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break
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elif is_stop == 1 or (
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model_weights_status.value[0] == ModelWeightsStatus.CLEARED and is_stop == 0
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):
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if is_stop == 0:
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logger.info("finished clearing checkpoint")
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is_stop = 1
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time.sleep(0.001)
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break
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else:
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time.sleep(0.001)
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while model_weights_status.value[0] != ModelWeightsStatus.CLEARED:
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time.sleep(0.01)
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logger.info("finished clearing checkpoint")
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time.sleep(0.01)
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