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tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[4,0] = 10000 is not in [0, 10000) #1
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the same to you
InvalidArgumentError (see above for traceback): indices[7,0] = 10000 is not in [0, 10000)
Found the error. I used an wrong input_dim. It should be maximum integer index + 1 as explained in the Keras documentation and I just used the maximum integer index.
Sorry for not answering earlier but I completely overlooked the issues. Furthermore it looks like this error only occurres when using a CPU and therefore it worked just fine for me. Now(after the bug fix) I tried it with both CPU and GPU and it works fine for me.
Kind regards,
Gilbert Tanner- added a commit that references this issue
on Jan 4, 2019 - pinned this issue
on Jan 4, 2019 Hi @TannerGilbert,
First of all, thanks for the notebook, it's very helpful. I got the same error while trying to run the code.
Below are some details about my dataset and dimensions which I was passing. I tried to use the dot product example(method 1).train.head()BookID UserID USERRATINGS 114530 644108 4 114530 614998 4 114530 618764 4 114530 608366 4 114530 655265 4 n_users = len(dataset.UserID.unique()) print(n_users) #12915 n_books = len(dataset.BookID.unique()) print(n_books) #4469 InvalidArgumentError: indices[0,0] = 114530 is not in [0, 4470) [[{{node Book-Embedding_4/embedding_lookup}}]]
Let me know if you have any idea about this issue.
Thanks,
BharatHello @bhansa,
This error occurres when using the false input_dim for the embedding layers. The input_dim attribute for the embedding layer in Keras is defined as follows:
- input_dim: int > 0. Size of the vocabulary, i.e. maximum integer index + 1.
Maybe you need to add 1 as indicated above. Check out this stackoverflow post for more information.
Hope this helped.
Reacted by Bharat Saraswat
Hi Gilbert,
Have u encountered this problem? i have not changed ur codes, and run it on local.
Thanks