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Revert "Fix argument order & renaming" #236

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Revert "Fix argument order & renaming" #236

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4 changes: 2 additions & 2 deletions fedscale/cloud/internal/torch_model_adapter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ def set_weights(self, weights: List[np.ndarray]):
Set the model's weights to the numpy weights array.
:param weights: numpy weights array
"""
last_grad_weights = [param.data.clone() for param in self.model.state_dict().values()]
current_grad_weights = [param.data.clone() for param in self.model.state_dict().values()]
new_state_dict = {
name: torch.from_numpy(np.asarray(weights[i], dtype=np.float32))
for i, name in enumerate(self.model.state_dict().keys())
Expand All @@ -34,7 +34,7 @@ def set_weights(self, weights: List[np.ndarray]):
if self.optimizer:
weights_origin = copy.deepcopy(weights)
weights = [torch.tensor(x) for x in weights_origin]
self.optimizer.update_round_gradient(last_grad_weights, weights, self.model)
self.optimizer.update_round_gradient(weights, current_grad_weights, self.model)

def get_weights(self) -> List[np.ndarray]:
"""
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