modify lenet to mixed precision

model_zoo/official/cv/lenet/train.py

@@ -60,7 +60,7 @@ if __name__ == "__main__":
     config_ck = CheckpointConfig(save_checkpoint_steps=cfg.save_checkpoint_steps,
                                  keep_checkpoint_max=cfg.keep_checkpoint_max)
     ckpoint_cb = ModelCheckpoint(prefix="checkpoint_lenet", directory=args.ckpt_path, config=config_ck)
-    model = Model(network, net_loss, net_opt, metrics={"Accuracy": Accuracy()})
+    model = Model(network, net_loss, net_opt, metrics={"Accuracy": Accuracy()}, amp_level="O2")
 
     print("============== Starting Training ==============")
     model.train(cfg['epoch_size'], ds_train, callbacks=[time_cb, ckpoint_cb, LossMonitor()],