Comments (4)
@kscp123 No. this happens only when diagonal elements are 0, which happens only for some rare initializations. Sometimes restarting fixes it.
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Hi Yang,
I got the following error at Line 87 of neural.py.
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input is not invertible.
[[Node: MatrixInverse_1 = MatrixInverseT=DT_FLOAT, adjoint=false, _device="/job:localhost/replica:0/task:0/cpu:0"]]
Caused by op u'MatrixInverse_1', defined at :
File "/nfs/user/public/vbalacha/structured/neural.py", line 87, in _getMatrixTree
LL_inv = tf.matrix_inverse(LL) #batch_l, doc_l, doc_l
What's the fix for this?
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Have you fixed it? I also meet this problem. @szxSpark @vidhishanair
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@kscp123 No. this happens only when diagonal elements are 0, which happens only for some rare initializations. Sometimes restarting fixes it.
But in my case, the elements are not 0, however the determinant is 0. That case occurs occasionally. How to fix it?
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