Created by: ResearchingDexter

   1）PaddlePaddle版本：1.4.1    2）CPU/GPU：如果您使用GPU训练，请提供GPU驱动版本、CUDA和cuDNN版本号    3）系统环境：请您描述系统类型、版本，例如Mac OS 10.14    4）Python 3.6    5）显存信息 运行下面代码

import paddle.fluid as fluid
import numpy as np
def _bbox_overlaps(roi_boxes:np.ndarray, gt_boxes:np.ndarray):
    lt = np.maximum(roi_boxes[:,np.newaxis, :2], gt_boxes[:, :2])
    rb = np.minimum(roi_boxes[:,np.newaxis, 2:], gt_boxes[:, 2:])
    wh=np.clip((rb-lt+1),a_min=0,a_max=None)
    inter=wh[:,:,0]*wh[:,:,1]
    w1 = np.maximum(roi_boxes[:, 2] - roi_boxes[:, 0] + 1, 0)
    h1 = np.maximum(roi_boxes[:, 3] - roi_boxes[:, 1] + 1, 0)
    w2 = np.maximum(gt_boxes[:, 2] - gt_boxes[:, 0] + 1, 0)
    h2 = np.maximum(gt_boxes[:, 3] - gt_boxes[:, 1] + 1, 0)
    area1 = w1 * h1
    area2 = w2 * h2
    overlap=inter/(area1[:,np.newaxis]+area2-inter)
    return overlap
def create_tmp_var(name, dtype, shape):
    return fluid.default_main_program().current_block().create_var(
        name=name, dtype=dtype, shape=shape)
def py_func():
    main=fluid.Program()
    start=fluid.Program()
    with fluid.program_guard(main,start):
        roi=fluid.layers.data('roi',[3,4],append_batch_size=False)
        gt=fluid.layers.data('gt',[2,4],append_batch_size=False)
        overlap=create_tmp_var('overlap','float32',[3,2])
        out=fluid.layers.py_func(_bbox_overlaps,[roi,gt],overlap)
    exe=fluid.Executor(fluid.CPUPlace())
    exe.run(start)
    out=exe.run(main,feed={'roi':np.ones([3,4]),'gt':np.ones([2,4])},fetch_list=[out])
    print(out)
py_func()

报错信息如下

---------------------------------------------------------------------------ValueError                                Traceback (most recent call last)<ipython-input-2-b318fada9f02> in <module>
     29     out=exe.run(main,feed={'roi':np.ones([3,4]),'gt':np.ones([2,4])},fetch_list=[out])
     30     print(out)
---> 31 py_func()
<ipython-input-2-b318fada9f02> in py_func()
     24         gt=fluid.layers.data('gt',[2,4],append_batch_size=False)
     25         overlap=create_tmp_var('overlap','float32',[3,2])
---> 26         out=fluid.layers.py_func(_bbox_overlaps,[roi,gt],overlap)
     27     exe=fluid.Executor(fluid.CPUPlace())
     28     exe.run(start)
/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layers/nn.py in py_func(func, x, out, backward_func, skip_vars_in_backward_input)
  10634             'Output must be Variable/list(Variable)/tuple(Variable)')
  10635 
> 10636     fwd_func_id = PyFuncRegistry(func).id
  10637     bwd_func_id = PyFuncRegistry(
  10638         backward_func).id if backward_func is not None else -1
/opt/conda/envs/python35-paddle120-env/lib/python3.5/site-packages/paddle/fluid/layers/nn.py in __init__(self, func)
  10468         self._func = func
  10469         # find named args using reflection
> 10470         args = inspect.getargspec(self._func)
  10471         if len(args[0]) == 0 and args[1] is None and args[2] is None:
  10472             # Function with no inputs
/opt/conda/envs/python35-paddle120-env/lib/python3.5/inspect.py in getargspec(func)
   1048         getfullargspec(func)
   1049     if kwonlyargs or ann:
-> 1050         raise ValueError("Function has keyword-only arguments or annotations"
   1051                          ", use getfullargspec() API which can support them")
   1052     return ArgSpec(args, varargs, varkw, defaults)
ValueError: Function has keyword-only arguments or annotations, use getfullargspec() API which can support them