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Fix fine_tune when optimizer is None
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@ -382,7 +382,8 @@ def fine_tune(embedding, combine=None):
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model.d_mix[1] += flat_vecs.dot(flat_grad.T).sum()
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bp_vecs([d_o * model.mix[1] for d_o in d_output], sgd=sgd)
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sgd(model._mem.weights, model._mem.gradient, key=model.id)
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if sgd is not None:
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sgd(model._mem.weights, model._mem.gradient, key=model.id)
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return [d_o * model.mix[0] for d_o in d_output]
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return output, fine_tune_bwd
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