python推理 ttfnet\ttfnet_darknet53_1x_coco 的示例代码报错

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问题确认 Search before asking

• 我已经查询历史issue，没有发现相似的bug。I have searched the issues and found no similar bug report.

Bug组件 Bug Component

Inference, Deploy

Bug描述 Describe the Bug

推理使用的导出 ttfnet\ttfnet_darknet53_1x_coco的模型为推理模型
ttfnet\ttfnet_darknet53_1x_coco
推理配置文件为 infer_cfg.yml, 内容如下, labellist根据实际整理出来了，未贴出

mode: paddle
draw_threshold: 0.5
metric: COCO
use_dynamic_shape: false
arch: TTFNet
min_subgraph_size: 60
Preprocess:

• interp: 1
  keep_ratio: false
  target_size:
  • 320
  • 320
    type: Resize
• is_scale: false
  mean:
  • 123.675
  • 116.28
  • 103.53
    std:
  • 58.395
  • 57.12
  • 57.375
    type: NormalizeImage
• type: Permute
  label_list: []

"""
‘File "E:\work_aiplat\pp_detection_sample\PaddleDetection\deploy\python\infer.py"
result = self.predict()
File "E:\work_aiplat\pp_detection_sample\PaddleDetection\deploy\python\infer.py", line xxx, in predict
self.predictor.run()
RuntimeError: In user code:

File "cus_share/PaddleDetection/eyecool_export_test_for_folder.py", line 155, in <module>
  export_pretrain_model_by_config_folder(path=WEIGHTS_HOME)
File "cus_share/PaddleDetection/eyecool_export_test_for_folder.py", line 40, in export_pretrain_model_by_config_folder
  export_pretrain_model_by_config_folder(item_path, suffix, outFilter)
File "cus_share/PaddleDetection/eyecool_export_test_for_folder.py", line 52, in export_pretrain_model_by_config_folder
  export_model_by_config_and_weight(item_path)
File "cus_share/PaddleDetection/eyecool_export_test_for_folder.py", line 148, in export_model_by_config_and_weight
  trainer.export(infer_folder)
File "/xxx/cus_share/PaddleDetection/ppdet/engine/trainer.py", line 734, in export
  save_dir)
File "/xxx/cus_share/PaddleDetection/ppdet/engine/trainer.py", line 711, in _get_infer_cfg_and_input_spec
  input_spec, static_model.forward.main_program,
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 563, in main_program
  concrete_program = self.concrete_program
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 479, in concrete_program
  return self.concrete_program_specify_input_spec(input_spec=None)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 517, in concrete_program_specify_input_spec
  *desired_input_spec)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 427, in get_concrete_program
  concrete_program, partial_program_layer = self._program_cache[cache_key]
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 723, in __getitem__
  self._caches[item] = self._build_once(item)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 714, in _build_once
  **cache_key.kwargs)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/decorator.py", line 232, in fun
  return caller(func, *(extras + args), **kw)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/wrapped_decorator.py", line 25, in __impl__
  return wrapped_func(*args, **kwargs)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/base.py", line 51, in __impl__
  return func(*args, **kwargs)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/program_translator.py", line 662, in from_func_spec
  outputs = static_func(*inputs)
File "/tmp/tmpw0mit3rj.py", line 100, in forward
  false_fn_5, (), (inputs, self), (out,))
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 211, in convert_ifelse
  out = _run_py_ifelse(pred, true_fn, false_fn, true_args, false_args)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 257, in _run_py_ifelse
  return true_fn(*true_args) if pred else false_fn(*false_args)
File "/tmp/tmpw0mit3rj.py", line 83, in false_fn_5
  for_loop_body_0, [__for_loop_var_index_0, inputs_list])
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 45, in convert_while_loop
  loop_vars = _run_py_while(cond, body, loop_vars)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 59, in _run_py_while
  loop_vars = body(*loop_vars)
File "/tmp/tmpw0mit3rj.py", line 78, in for_loop_body_0
  dy2static.convert_call(self.get_pred)())
File "/xxx/cus_share/PaddleDetection/ppdet/modeling/architectures/ssd.py", line 87, in get_pred
  bbox_pred, bbox_num = self._forward()
File "/tmp/tmptnn0rlyn.py", line 30, in _forward
  __return_value_0, hm, self, wh), (__return_value_0,))
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 211, in convert_ifelse
  out = _run_py_ifelse(pred, true_fn, false_fn, true_args, false_args)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 257, in _run_py_ifelse
  return true_fn(*true_args) if pred else false_fn(*false_args)
File "/xxx/cus_share/PaddleDetection/ppdet/modeling/architectures/ttfnet.py", line 76, in _forward
  self.inputs['scale_factor'])
File "/tmp/tmp_daipi44.py", line 41, in __call__
  bbox_num, bbox_pred))
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 211, in convert_ifelse
  out = _run_py_ifelse(pred, true_fn, false_fn, true_args, false_args)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 257, in _run_py_ifelse
  return true_fn(*true_args) if pred else false_fn(*false_args)
File "/xxx/cus_share/PaddleDetection/ppdet/modeling/post_process.py", line 67, in __call__
  bbox_pred, bbox_num, _ = self.nms(bboxes, score, self.num_classes)
File "/tmp/tmps6ydz4yp.py", line 99, in __call__
  __return_value_4, bboxes, kwargs, score, self), (__return_value_4,))
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 211, in convert_ifelse
  out = _run_py_ifelse(pred, true_fn, false_fn, true_args, false_args)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/dygraph/dygraph_to_static/convert_operators.py", line 257, in _run_py_ifelse
  return true_fn(*true_args) if pred else false_fn(*false_args)
File "/xxx/cus_share/PaddleDetection/ppdet/modeling/layers.py", line 486, in __call__
  return bbox, bbox_num, None
File "/xxx/cus_share/PaddleDetection/ppdet/modeling/ops.py", line 1058, in multiclass_nms
  outputs=outputs)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op
  return self.main_program.current_block().append_op(*args, **kwargs)
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/framework.py", line 3184, in append_op
  attrs=kwargs.get("attrs", None))
File "/xxx/condas/envs/xxx/lib/python3.7/site-packages/paddle/fluid/framework.py", line 2224, in __init__
  for frame in traceback.extract_stack():

NotFoundError: Operator (multiclass_nms3) does not have kernel for data_type[int]:data_layout[ANY_LAYOUT]:place[CPUPlace]:library_type[PLAIN].
  [Hint: Expected kernel_iter != kernels.end(), but received kernel_iter == kernels.end().] (at C:\home\workspace\Paddle_release\paddle\fluid\framework\operator.cc:1297)
  [operator < multiclass_nms3 > error]
  """

复现环境 Environment

• OS: Linux/Windows
• PaddlePaddle: 2.2.2
• PaddleDetection: release/2.5
• Python: 3.7.0
• CUDA: 10.1
• CUDNN: 7.6
• GCC: 8.2.0

windows使用的cpu推理的，linux使用cpu/gpu 均出现该错误

Bug描述确认 Bug description confirmation

• 我确认已经提供了Bug复现步骤、代码改动说明、以及环境信息，确认问题是可以复现的。I confirm that the bug replication steps, code change instructions, and environment information have been provided, and the problem can be reproduced.

是否愿意提交PR？ Are you willing to submit a PR?

• 我愿意提交PR！I'd like to help by submitting a PR!