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Update train_ep.py

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Force all2all backward the same number of times
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Xingkai Yu 2024-08-12 10:43:00 +08:00 committed by GitHub
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commit f27ae60863
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train_ep.py
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@ -110,6 +110,14 @@ def main():
if type(layer.mlp).__name__ != "DeepseekV2MoE": if type(layer.mlp).__name__ != "DeepseekV2MoE":
continue continue
layer.mlp.ep_group = ep_group layer.mlp.ep_group = ep_group
# Force all2all backward the same number of times
if ep_size > 1 and not expert_config["non_expert_modules"]:
min_layer_id = min(int(k) for k, v in expert_config["experts"].items() if v)
mlp = model.model.layers[min_layer_id].mlp
forward = mlp.forward
def custom_forward(self, hidden_states: torch.Tensor):
return forward(hidden_states.requires_grad_(torch.is_grad_enabled()))
mlp.forward = MethodType(custom_forward, mlp)
# Initialize Trainer # Initialize Trainer
trainer = Trainer( trainer = Trainer(