Traceback (most recent call last):


 "/Users/primoz/Documents/orange3/Orange/widgets/utils/concurrent.py", line 596, in _on_task_done

super()._on_task_done(future)


 "/Users/primoz/Documents/orange3/Orange/widgets/utils/concurrent.py", line 552, in _on_task_done

self.on_exception(ex)


 "/Users/primoz/Documents/orange3/Orange/widgets/utils/concurrent.py", line 492, in on_exception

raise ex


 "/Users/primoz/miniconda3/envs/orange/lib/python3.7/concurrent/futures/thread.py", line 57, in run

result = self.fn(*self.args, **self.kwargs)


 "/Users/primoz/Documents/orange3/Orange/widgets/unsupervised/owtsne.py", line 217, in run

job(progress_callback=_progress_callback)


 "/Users/primoz/Documents/orange3/Orange/widgets/unsupervised/owtsne.py", line 107, in compute_initialization

task.initialization = task.tsne.compute_initialization(task.pca_projection.X)


 "/Users/primoz/Documents/orange3/Orange/projection/manifold.py", line 454, in compute_initialization

X, self.n_components, random_state=self.random_state


 "/Users/primoz/miniconda3/envs/orange/lib/python3.7/site-packages/openTSNE/initialization.py", line 58, in pca

embedding = pca_.fit_transform(X)


 "/Users/primoz/miniconda3/envs/orange/lib/python3.7/site-packages/sklearn/decomposition/_pca.py", line 369, in fit_transform

U, S, V = self._fit(X)


 "/Users/primoz/miniconda3/envs/orange/lib/python3.7/site-packages/sklearn/decomposition/_pca.py", line 416, in _fit

return self._fit_full(X, n_components)


 "/Users/primoz/miniconda3/envs/orange/lib/python3.7/site-packages/sklearn/decomposition/_pca.py", line 435, in _fit_full

% (n_components, min(n_samples, n_features)))
ValueError: n_components=2 must be between 0 and min(n_samples, n_features)=1 with svd_solver='full'

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'
