1、问题描述
使用load_inference_model 加载两个不同的模型进行推理会crash，分别进行推理运行正常。错误log观察好像加载两个模型会混淆

版本：paddlepaddle 2.1.1
CPU：Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz

说明：
两个模型都是用x2paddle 转到paddle的。

错误日志：

[Detect] input:  (1, 3, 320, 320)
Traceback (most recent call last):
  File "handx_main.py", line 93, in <module>
    main()
  File "handx_main.py", line 83, in main
    pred_uvd = h_3d.predict(image, [x1, y1, x2, y2])
  File "/mnt/disk_2t/shaoxiong/handpp_work/3dpose_work/slimhand3d_work/x2paddle_work/v1_8_hand3d/handx_hand3d/hand3d.py", line 38, in predict
    output = self.exe.run(self.inference_program,
  File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1110, in run
    six.reraise(*sys.exc_info())
  File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/six.py", line 703, in reraise
    raise value
  File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1098, in run
    return self._run_impl(
  File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1231, in _run_impl
    return self._run_program(
  File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/executor.py", line 1328, in _run_program
    self._default_executor.run(program.desc, scope, 0, True, True,
ValueError: In user code:

    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/bin/x2paddle", line 33, in <module>
      sys.exit(load_entry_point('x2paddle==1.2.3', 'console_scripts', 'x2paddle')())
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/x2paddle-1.2.3-py3.8.egg/x2paddle/convert.py", line 259, in main
      onnx2paddle(args.model, args.save_dir)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/x2paddle-1.2.3-py3.8.egg/x2paddle/convert.py", line 165, in onnx2paddle
      mapper.paddle_graph.gen_model(save_dir)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/x2paddle-1.2.3-py3.8.egg/x2paddle/core/program.py", line 274, in gen_model
      self.dygraph2static(save_dir, input_shapes, input_types)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/x2paddle-1.2.3-py3.8.egg/x2paddle/core/program.py", line 553, in dygraph2static
      paddle.jit.save(static_model,
    File "<decorator-gen-67>", line 2, in save

    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
      return wrapped_func(*args,**kwargs)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/base.py", line 40, in __impl__
      return func(*args,**kwargs)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/jit.py", line 718, in save
      concrete_program = static_func.concrete_program_specify_input_spec(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 487, in concrete_program_specify_input_spec
      concrete_program, _ = self.get_concrete_program(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 402, in get_concrete_program
      concrete_program, partial_program_layer = self._program_cache[cache_key]
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 711, in __getitem__
      self._caches[item] = self._build_once(item)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 698, in _build_once
      concrete_program = ConcreteProgram.from_func_spec(
    File "<decorator-gen-65>", line 2, in from_func_spec

    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
      return wrapped_func(*args,**kwargs)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/base.py", line 40, in __impl__
      return func(*args,**kwargs)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 652, in from_func_spec
      outputs = static_func(*inputs)
    File "v1_8_ckp_hand3d_443.pd/x2paddle_code.py", line 165, in forward
      x2paddle_340 = self.batchnorm0(x2paddle_339)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/layers.py", line 902, in __call__
      outputs = self.forward(*inputs,**kwargs)
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/nn.py", line 1388, in forward
      self._helper.append_op(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/dygraph/layer_object_helper.py", line 47, in append_op
      return self.main_program.current_block().append_op(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/framework.py", line 2899, in append_op
      op = Operator(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/framework.py", line 1977, in __init__
      for frame in traceback.extract_stack():

    InvalidArgumentError: ShapeError: the shape of scale must equal to [16]But received: the shape of scale is [48]
      [Hint: Expected scale_dim[0] == C, but received scale_dim[0]:48 != C:16.] (at /paddle/paddle/fluid/operators/batch_norm_op.cc:118)
      [operator < batch_norm > error]