Fix the code in quantization doc to save inference model without accuracy op (#412)

docs/zh_cn/quick_start/quant_aware_tutorial.md

@@ -126,14 +126,14 @@ test(val_quant_program)
 
 ```python
 float_prog, int8_prog = slim.quant.convert(val_quant_program, exe.place, save_int8=True)
-target_vars = [float_prog.global_block().var(name) for name in outputs]
+target_vars = [float_prog.global_block().var(outputs[-1])]
 fluid.io.save_inference_model(dirname='./inference_model/float',
-        feeded_var_names=[var.name for var in inputs],
+        feeded_var_names=[inputs[0].name],
         target_vars=target_vars,
         executor=exe,
         main_program=float_prog)
 fluid.io.save_inference_model(dirname='./inference_model/int8',
-        feeded_var_names=[var.name for var in inputs],
+        feeded_var_names=[inputs[0].name],
         target_vars=target_vars,
         executor=exe,
         main_program=int8_prog)

paddleslim/models/util.py

@@ -29,4 +29,4 @@ def image_classification(model, image_shape, class_num, use_gpu=False):
         exe = fluid.Executor(place)
         exe.run(fluid.default_startup_program())
     return exe, train_program, val_program, (image, label), (
-        acc_top1.name, acc_top5.name, avg_cost.name)
+        acc_top1.name, acc_top5.name, avg_cost.name, out.name)