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Indexing elements must be in increasing order #1
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Hi there, This error seems to have the same cause as above. |
Thanks for pointing this out! The weights were saved from Theano 0.9.0 using the 'tf' dim ordering–it looks like they don't work with the TensorFlow backend (tested on CentOS 7.3 with both TF/Theano installed and the packages you listed; tf backend gives the same unorderable types error, but Theano works). I'll see if I can figure out a way to make the weights interoperable (assuming that this is some sort of configuration mistake on my end). In the meantime, switching to Theano should hopefully resolve the issue (don't forget to change {
"backend": "theano",
"image_dim_ordering": "tf"
} |
I have the same problem My environment as following: I change the backend to theano but have the new problem: File "acapellabot.py", line 130, in |
@arlose Regarding the "channel dimension of the inputs should be defined. Found None." issue–You're probably using the {
"backend": "theano",
"image_dim_ordering": "tf"
} I think there's a way to set the ordering in the script itself, so I'll see if I can do that to save people some trouble in the future. |
@arlose Also, are you running python 3? From the printout it looks like you're using python 2, but it won't work in python 2 without some adjustments (the issue you're getting there is because of the change in behavior of the division operator, you could probably fix it with some calls to |
@madebyollin thanks |
Hi @madebyollin , Kindly confirm. Thanks |
when I run the following code (demo.mp3 is my example music)
got errors :
My environment as following:
In Window 10.
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