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[Auto Parallel]Add changes of rule based tuner #1002

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[Auto Parallel]Add changes of rule based tuner #1002

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4 changes: 2 additions & 2 deletions ppfleetx/core/engine/auto_engine.py
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Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@


class AutoEngine(BasicEngine):
def __init__(self, configs, module=None, mode='train'):
def __init__(self, configs, module=None, mode='train', cluster=None):
super().__init__()
version_check()

Expand Down Expand Up @@ -99,7 +99,7 @@ def __init__(self, configs, module=None, mode='train'):

# init engine
self._auto_engine = auto.Engine(
model, loss_fn, optimizer, strategy=self._strategy)
model, loss_fn, optimizer, strategy=self._strategy, cluster=cluster)

def fit(self, epoch=1, train_dataset=None, valid_dataset=None):

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2 changes: 1 addition & 1 deletion ppfleetx/utils/config.py
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Expand Up @@ -511,7 +511,7 @@ def process_auto_strategy(config):
process auto strategy for auto parallel
"""
strategy = auto.Strategy()
strategy.auto_mode = "semi"
strategy.auto_mode = config.Engine.get('auto_mode', "semi")
strategy.seed = config['Global']['seed']

# amp config
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5 changes: 4 additions & 1 deletion tools/auto.py
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Expand Up @@ -56,7 +56,10 @@
'step_each_epoch': len(train_data)
})

engine = AutoEngine(configs=cfg, module=module)
device_count = paddle.distributed.get_world_size()
cluster = dist.auto.cluster.Cluster()
cluster.gen_default_config_cluster(node_count=device_count//8, device_count=8)
engine = AutoEngine(configs=cfg, module=module, cluster=cluster)

if cfg.Engine.save_load.ckpt_dir is not None:
engine.load()
Expand Down