我正在开发openface。Openface有未知的分类python代码。
我正在测试lfw-classification-unknown.py's列车部件。它使用进行培训
nolearn-DBN classifier
我安装了nolearn version 0.5。DBN classifier具有对/usr/local/lib/python2.7/dist-packages/gnumpy.py的函数调用我有错误作为
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 738, in as_numpy_array
if self.size==0: return numpy.zeros(self.shape, dtype)
AttributeError: 'garray' object has no attribute 'size'
如何修复错误？
整个错误都是
Traceback (most recent call last):
File "/usr/lib/python2.7/pdb.py", line 1314, in main
pdb._runscript(mainpyfile)
File "/usr/lib/python2.7/pdb.py", line 1233, in _runscript
self.run(statement)
File "/usr/lib/python2.7/bdb.py", line 400, in run
exec cmd in globals, locals
File "<string>", line 1, in <module>
File "evaluation/lfw-classification-unknown.py", line 519, in <module>
train(args)
File "evaluation/lfw-classification-unknown.py", line 130, in train
clf.fit(embeddings, labelsNum)
File "/usr/local/lib/python2.7/dist-packages/nolearn/dbn.py", line 409, in fit
self.use_dropout,
File "/usr/local/lib/python2.7/dist-packages/gdbn/dbn.py", line 202, in fineTune
err, outMB = step(inpMB, targMB, self.learnRates, self.momentum, self.L2Costs, useDropout)
File "/usr/local/lib/python2.7/dist-packages/gdbn/dbn.py", line 296, in stepNesterov
targetBatch = targetBatch if isinstance(targetBatch, gnp.garray) else gnp.garray(targetBatch)
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 735, in __new__
def __new__(cls, *args, **kwarg): return object.__new__(cls)
File "/usr/lib/python2.7/bdb.py", line 53, in trace_dispatch
return self.dispatch_return(frame, arg)
File "/usr/lib/python2.7/bdb.py", line 88, in dispatch_return
self.user_return(frame, arg)
File "/usr/lib/python2.7/pdb.py", line 190, in user_return
self.interaction(frame, None)
File "/usr/lib/python2.7/pdb.py", line 209, in interaction
self.print_stack_entry(self.stack[self.curindex])
File "/usr/lib/python2.7/pdb.py", line 900, in print_stack_entry
prompt_prefix)
File "/usr/lib/python2.7/bdb.py", line 381, in format_stack_entry
s = s + repr.repr(rv)
File "/usr/lib/python2.7/repr.py", line 24, in repr
return self.repr1(x, self.maxlevel)
File "/usr/lib/python2.7/repr.py", line 34, in repr1
s = __builtin__.repr(x)
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 1133, in __repr__
def __repr__(self): return self.as_numpy_array().__repr__().replace('array(', 'garray(').replace('n', 'n ').replace(', dtype=float32', '').replace(', dtype=float64', '') # 64 happens for empty arrays
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 738, in as_numpy_array
if self.size==0: return numpy.zeros(self.shape, dtype)
AttributeError: 'garray' object has no attribute 'size'
> Uncaught exception. Entering post mortem debugging
Running 'cont' or 'step' will restart the program
> /usr/local/lib/python2.7/dist-packages/gnumpy.py(738)as_numpy_array()
-> if self.size==0: return numpy.zeros(self.shape, dtype)
编辑：如果未处于调试模式，则错误如下。
Traceback (most recent call last):
File "evaluation/lfw-classification-unknown.py", line 519, in <module>
train(args)
File "evaluation/lfw-classification-unknown.py", line 130, in train
clf.fit(embeddings, labelsNum)
File "/usr/local/lib/python2.7/dist-packages/nolearn/dbn.py", line 407, in fit
self.use_dropout,
File "/usr/local/lib/python2.7/dist-packages/gdbn/dbn.py", line 202, in fineTune
err, outMB = step(inpMB, targMB, self.learnRates, self.momentum, self.L2Costs, useDropout)
File "/usr/local/lib/python2.7/dist-packages/gdbn/dbn.py", line 303, in stepNesterov
errSignals, outputActs, error = self.fpropBprop(inputBatch, targetBatch, useDropout)
File "/usr/local/lib/python2.7/dist-packages/gdbn/dbn.py", line 262, in fpropBprop
outputErrSignal = -self.outputActFunct.dErrordNetInput(targetBatch, self.state[-1], outputActs)
File "/usr/local/lib/python2.7/dist-packages/gdbn/activationFunctions.py", line 138, in dErrordNetInput
return acts - targets
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 965, in __sub__
else: return self + -as_garray(other) # if i need to broadcast, making use of the row add and col add methods is probably faster
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 926, in __add__
def __add__(self, other): return _check_number_types(self._broadcastable_op(as_garray_or_scalar(other), 'add'))
File "/usr/local/lib/python2.7/dist-packages/gnumpy.py", line 614, in _broadcastable_op
if reduce(operator.or_, ( other.shape[i] not in (1, self.shape[i]) for i in range(self.ndim)), False): raise ValueError('shape mismatch: objects cannot be broadcast to a single shape')
ValueError: shape mismatch: objects cannot be broadcast to a single shape
您还没有发布任何实际的代码，因此根本不可能确切地知道您的问题是什么。
编辑
从堆栈跟踪中可以清楚地看出，您遇到的问题是由于pdb试图在调用garray.__new__后立即获取并打印garray的值。这是在调用__init__之前，所以.size属性还不存在。
在gnumpy.garray代码中，似乎甚至没有必要重新定义__new__，因此您可以通过打开/usr/local/lib/python2.7/dist-packages/gnumpy.py，然后注释第735行(即具有__new__定义的行)来解决问题。
更简单的是，当您只运行脚本而不使用pdb(例如python lfw-classification-unknown.py)时会发生什么？这个特定的错误似乎会消失。另一方面，您使用调试器可能是出于实际原因。你最初是不是遇到了另一个错误？在这种情况下，这是一个XY问题，您可能只需要发布一个新问题来询问原始错误。
不幸的是，gnumpy.garray需要一个实际的NVidia GPU来运行，而我没有，所以我不能自己直接测试这些解决方案。
一般性问题
也就是说，似乎以某种方式创建了一个garray对象，而没有设置其.size属性。这可能是由于您自己的代码中的错误，或者4个不同包中的任何一个(openface加上3个依赖项)中的错误。以下是一个关于这种情况可能发生的非常普遍的概述。
openface对nolearn具有依赖性，而CCD_21对gbdn具有依赖性。详细信息：
-
链接到的
openface代码依赖于nolearn.dbn.DBN类。 -
nolearn.dbn.DBN依赖于gdbn.dbn.buldDBN函数，并通过它生成gdbn.dbn.DBN类。 -
gdbn.dbn.buldDBN和gdbn.dbn.DBN都有创建gnumpy.garray类数组的代码
所以，在buildDBN或DBN中创建一个garrays可能会出错。.size属性仅在调用gnumpy.garray._set_shape_info方法时设置。粗略地看一下garray的实现并没有发现_set_shape_info在初始化期间可能无法调用的任何明显方式。然而，有一件事确实很突出，那就是garray的初始化可能通过至少十几个不同的代码路径进行。如果有一个边缘案例没有调用_set_shape_info就溜走了，那也就不足为奇了。