Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "pandas/core/frame.py", line 7760, in quantile

transposed=is_transposed)


 "pandas/core/internals/managers.py", line 500, in quantile

return self.reduction('quantile', **kwargs)


 "pandas/core/internals/managers.py", line 473, in reduction

values = _concat._concat_compat([b.values for b in blocks])


 "pandas/core/dtypes/concat.py", line 174, in _concat_compat

return np.concatenate(to_concat, axis=axis)
ValueError: need at least one array to concatenate

Traceback (most recent call last):


 "F:/PythonProject/Alphapose/AlphaPose-pytorch/AlphaPose-pytorch/demo.py", line 26, in <module>

torch.multiprocessing.set_start_method('forkserver', force=True)


 "D:\ProgramData\Anaconda3\envs\my-pytorch-gpu\lib\multiprocessing\context.py", line 246, in set_start_method

self._actual_context = self.get_context(method)


 "D:\ProgramData\Anaconda3\envs\my-pytorch-gpu\lib\multiprocessing\context.py", line 238, in get_context

return super().get_context(method)


 "D:\ProgramData\Anaconda3\envs\my-pytorch-gpu\lib\multiprocessing\context.py", line 192, in get_context

raise ValueError('cannot find context for %r' % method)
ValueError: cannot find context for 'forkserver'
