run vis.py 时出现错误

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C:\WinPython\python-2.7.10.amd64\python.exe D:/MyCoding/DeepLearning/test_example/mxnet/example/center_loss/vis.py
feature_extractor loaded
[01:15:43] D:\MyCoding\DeepLearning\OpenSource\mxnet\src\io\iter_mnist.cc:94: MNISTIter: load 60000 images, shuffle=1, shape=(100,1,28,28)
[01:15:44] D:\MyCoding\DeepLearning\OpenSource\mxnet\src\io\iter_mnist.cc:94: MNISTIter: load 10000 images, shuffle=1, shape=(100,1,28,28)
extracting feature
[01:15:44] D:\MyCoding\DeepLearning\OpenSource\mxnet\dmlc-core\include\dmlc/logging.h:235: [01:15:44] D:\MyCoding\DeepLearning\OpenSource\mxnet\src\symbol\symbol.cc:155: Symbol.InferShapeKeyword argument name softmax_label not found.
Candidate arguments:
[0]data
[1]convolution0_weight
[2]convolution0_bias
[3]convolution1_weight
[4]convolution1_bias
[5]fullyconnected0_weight
[6]fullyconnected0_bias
[7]embedding_weight
[8]embedding_bias

Traceback (most recent call last):
File "D:/MyCoding/DeepLearning/test_example/mxnet/example/center_loss/vis.py", line 73, in
main()
File "D:/MyCoding/DeepLearning/test_example/mxnet/example/center_loss/vis.py", line 55, in main
preds = feature_extractor.predict( i.data[0] )
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\model.py", line 608, in predict
self._init_predictor(data_shapes, type_dict)
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\model.py", line 532, in _init_predictor
self.ctx[0], grad_req='null', type_dict=type_dict, **dict(input_shapes))
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\symbol.py", line 676, in simple_bind
arg_shapes, _, aux_shapes = self.infer_shape(**kwargs)
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\symbol.py", line 458, in infer_shape
return self._infer_shape_impl(False, *args, **kwargs)
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\symbol.py", line 518, in _infer_shape_impl
ctypes.byref(complete)))
File "C:\WinPython\python-2.7.10.amd64\lib\site-packages\mxnet-0.7.0-py2.7.egg\mxnet\base.py", line 77, in check_call
raise MXNetError(py_str(_LIB.MXGetLastError()))
mxnet.base.MXNetError: [01:15:44] D:\MyCoding\DeepLearning\OpenSource\mxnet\src\symbol\symbol.cc:155: Symbol.InferShapeKeyword argument name softmax_label not found.
Candidate arguments:
[0]data
[1]convolution0_weight
[2]convolution0_bias
[3]convolution1_weight
[4]convolution1_bias
[5]fullyconnected0_weight
[6]fullyconnected0_bias
[7]embedding_weight
[8]embedding_bias