Comments (2)
@johnbie
When the GPU memory is very low, such as 6 GB for yours, other bottlenecks might show up. In your case, you can either try to use CPU for training, or use small training data set (move the biggest file out the folder, and re-create the vocab.txt), and you can then further decrease the number of units used in the RNN model, say using 800 instead of 1024.
Please let me know if anything else is not clear to you. Thanks.
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can there be any changes if we are using cpu?
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