在运行程序的时候,出现了以下错误提示;
Intel MKL ERROR: Parameter 4 was incorrect on entry to DLASCL.
Intel MKL ERROR: Parameter 4 was incorrect on entry to DLASCL.
Traceback (most recent call last):
File "task2.py", line 322, in <module>
sys.exit(main(sys.argv))
File "task2.py", line 256, in main
app.system_training()
File "/disk2/zoe-dir/DCASE2017-baseline-system-1.2.0/dcase_framework/decorators.py", line 38, in function_wrapper
g
data_filenames=data_filelist
File "/disk2/zoe-dir/DCASE2017-baseline-system-1.2.0/dcase_framework/learners.py", line 2322, in learn
self.create_model(input_shape=(80,40,1)) # input_shape=200
File "/disk2/zoe-dir/DCASE2017-baseline-system-1.2.0/dcase_framework/keras_utils.py", line 380, in create_model
self.model.add(GRU(96,activation='tanh',name='gru1')) #,recurrent_activation='hard_sigmoid'
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/models.py", line 475, in add
output_tensor = layer(self.outputs[0])
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/layers/recurrent.py", line 268, in __call__
return super(Recurrent, self).__call__(inputs, **kwargs)
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 575, in __call__
self.build(input_shapes[0])
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/layers/recurrent.py", line 754, in build
constraint=self.recurrent_constraint)
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/legacy/interfaces.py", line 87, in wrapper
return func(*args, **kwargs)
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 396, in add_weight
weight = K.variable(initializer(shape),
File "/home/zoe/anaconda2/lib/python2.7/site-packages/keras/initializers.py", line 247, in __call__
u, _, v = np.linalg.svd(a, full_matrices=False)
File "/home/zoe/anaconda2/lib/python2.7/site-packages/numpy/linalg/linalg.py", line 1389, in svd
u, s, vt = gufunc(a, signature=signature, extobj=extobj)
File "/home/zoe/anaconda2/lib/python2.7/site-packages/numpy/linalg/linalg.py", line 99, in _raise_linalgerror_svd_nonconvergence
raise LinAlgError("SVD did not converge")
numpy.linalg.linalg.LinAlgError: SVD did not converge
问题出在包mkl(2018.0.0)中,似乎它最近已经发布并且与通过conda *提供的Tensorflow(1.3.0)和Keras(2.0.5)提供的一些软件包的版本冲突。
因此,我使用Anaconda Navigator手动降级mkl到v11.3.3,这导致其他软件包自动降级,现在一切正常。
解决方法:更新mkl:
conda install mkl==11.3.3
问题解决!
参考链接:
Keras with Tensorflow backend on GPU. MKL ERROR: Parameter 4 was incorrect on entry to DLASCL
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