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@@ -34,9 +34,9 @@ class NerPipeline:
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torch.save(self.optimizer.state_dict(), self.args.optimizer_save_dir)
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torch.save(self.optimizer.state_dict(), self.args.optimizer_save_dir)
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def load_model(self):
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def load_model(self):
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- # self.model.load_state_dict(torch.load(self.args.save_dir, map_location="cpu")) #GPU 上训练的模型加载到CPU
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- self.model.load_state_dict(torch.load(self.args.save_dir))
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- self.model.to(self.args.device)
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+ self.model.load_state_dict(torch.load(self.args.save_dir, map_location="cpu")) #GPU 上训练的模型加载到CPU
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+ # self.model.load_state_dict(torch.load(self.args.save_dir))
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+ self.model.to(self.args.device) # 耗内存
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def build_optimizer_and_scheduler(self, t_total):
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def build_optimizer_and_scheduler(self, t_total):
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module = (
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module = (
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