fix: remove sync_module_states=True (model is on CPU)
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2
train.py
2
train.py
@@ -201,7 +201,7 @@ def train(config_path):
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auto_wrap_policy=get_auto_wrap_policy(model),
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device_id=None, # Keep on CPU initially
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mixed_precision=None,
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sync_module_states=True,
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sync_module_states=False, # Model is on CPU, no sync needed
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use_orig_params=True,
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)
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print("✓ Model wrapped with FSDP (will be sharded across GPUs during training)")
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