Traceback (most recent call last):


 "mnist.py", line 181, in <module>

main(params)


 "mnist.py", line 131, in main

model = Net(hidden_size=hidden_size).to(device)


 "mnist.py", line 34, in __init__

]), key='first_conv')


 "C:\ProgramData\Anaconda3\lib\site-packages\nni\nas\pytorch\mutables.py", line 154, in __init__

self.choices = nn.ModuleList(op_candidates)


 "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\container.py", line 131, in __init__

self += modules


 "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\container.py", line 172, in __iadd__

return self.extend(modules)


 "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\container.py", line 211, in extend

self.add_module(str(offset + i), module)


 "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 189, in add_module

torch.typename(module)))
TypeError: str is not a Module subclass

Traceback (most recent call last):


 "/home/travis/build/peterjc/biopython/Tests/test_NaiveBayes.py", line 77, in setUp

self.model = NaiveBayes.train(self.xs, self.ys)


 "/home/travis/build/peterjc/biopython/build/lib.linux-x86_64-3.5/Bio/NaiveBayes.py", line 204, in train

nb.p_conditional[i][j] = _contents(values)


 "/home/travis/build/peterjc/biopython/build/lib.linux-x86_64-3.5/Bio/NaiveBayes.py", line 38, in _contents

counts[item] = counts.get(item, 0) + term
TypeError: 'numpy.float64' objects are unhashable
