int8模型预测报错

[youngstu]

Traceback (most recent call last):
  File "hand_detector.py", line 199, in <module>
    pred = h_detector.predict(image)
  File "hand_detector.py", line 51, in predict
    fetch_list=self.fetch_targets)
  File "/home/ar/shaoxiong/envs/anaconda3/envs/mobilehand/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1110, in run
    six.reraise(*sys.exc_info())
  File "/home/ar/shaoxiong/envs/anaconda3/envs/mobilehand/lib/python3.7/site-packages/six.py", line 703, in reraise
    raise value
  File "/home/ar/shaoxiong/envs/anaconda3/envs/mobilehand/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1108, in run
    return_merged=return_merged)
  File "/home/ar/shaoxiong/envs/anaconda3/envs/mobilehand/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1239, in _run_impl
    use_program_cache=use_program_cache)
  File "/home/ar/shaoxiong/envs/anaconda3/envs/mobilehand/lib/python3.7/site-packages/paddle/fluid/executor.py", line 1329, in _run_program
    [fetch_var_name])
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 "v2_3_1_yolov6_best.pd/x2paddle_code.py", line 222, in forward
      x2paddle_1034 = self.conv0(x2paddle_images)
    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/nn/layer/conv.py", line 655, in forward
      out = F.conv._conv_nd(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/nn/functional/conv.py", line 138, in _conv_nd
      helper.append_op(
    File "/home/ar/shaoxiong/envs/anaconda3/envs/py38_pytorch1.7/lib/python3.8/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
      return self.main_program.current_block().append_op(*args, **kwargs)
    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: input and filter data type should be consistent, but received input data type is float and filter type is int8_t
      [Hint: Expected input_data_type == filter_data_type, but received input_data_type:5 != filter_data_type:21.] (at /paddle/paddle/fluid/operators/conv_op.cc:185)
      [operator < conv2d > error]

[paddle-bot-old[bot]]

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[youngstu]

是不是动态离线量化方式paddle不支持呢