structured-neural-summarization
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UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.
When I running the train_and_eval.py on CNNDailyMail dataset, it often has the problem'UserWarning: Converting sparse IndexedSlices to a dense Tensor of unknown shape. This may consume a large amount of memory.' I have found that the dataset.tensorshape have been defineds in advance as [None], and it's feeded into the trainning. Maybe it's the reason. Can anybody give a solution? Thanks!