1

我有一个具有以下定义的库（caffe）：

class NetSpec(object):
    def __init__(self):
        super(NetSpec, self).__setattr__('tops', OrderedDict())

    def __setattr__(self, name, value):
        self.tops[name] = value

    def __getattr__(self, name):
        return self.tops[name]

    def to_proto(self):
        names = {v: k for k, v in self.tops.iteritems()}
        autonames = {}
        layers = OrderedDict()
        for name, top in self.tops.iteritems():
            top.fn._to_proto(layers, names, autonames)
        net = caffe_pb2.NetParameter()
        net.layer.extend(layers.values())
        return net

当我尝试使用它调用它时n = caffe.NetSpec()，出现以下错误：

  File "../../python/caffe/layers.py", line 84, in __init__
    super(NetSpec, self).__setattr__('tops', OrderedDict())

TypeError: must be type, not None

我检查了SO-9698614、SO-576169和SO-489269但他们没有找到解决方案。我的班级是一个新型班级，我不明白为什么它不起作用。

完整跟踪：

Traceback (most recent call last):

  File "<ipython-input-72-694741de221d>", line 1, in <module>
    runfile('/home/shaunak/caffe-pr2086/examples/wine/classify.py', wdir='/home/shaunak/caffe-pr2086/examples/wine')

  File "/home/shaunak/anaconda/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 682, in runfile
    execfile(filename, namespace)

  File "/home/shaunak/anaconda/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", line 78, in execfile
    builtins.execfile(filename, *where)

  File "/home/shaunak/caffe-pr2086/examples/wine/classify.py", line 26, in <module>
    f.write(str(logreg('examples/hdf5_classification/data/train.txt', 10)))

  File "/home/shaunak/caffe-pr2086/examples/wine/classify.py", line 18, in logreg
    n = caffe.NetSpec()

  File "../../python/caffe/layers.py", line 84, in __init__
    super(NetSpec, self).__setattr__('tops', OrderedDict())

TypeError: must be type, not None
4

1 回答 1

2

不知何故，你设法绑定NetSpec到None某个地方：

>>> super(None, object())
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: must be type, not None

该错误表明NetSpec全局绑定到None.

NetSpec.__setattr__您还可以通过直接转到实例__dict__属性来绕过该方法：

class NetSpec(object):
    def __init__(self):
       self.__dict__['tops'] = OrderedDict()

从您共享的代码来看，这可能是罪魁祸首：

from .layers import layers, params, NetSpec

这会导入caffe.layers但会重新绑定caffe.layers到Layers()实例。这可能会触发 Python 再次删除该模块，因为还没有其他对它的引用（取决于sys.modules创建引用的时间和方式），从而导致所有全局变量被重新绑定到None（包括NetSpec）。

于 2015-04-21T14:25:49.673 回答