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Segmentation fault with training a large dataset #1

Description

@hana-hiro

Seemingly a bug of treating the cache. (This seems to occur if whole training data is not stored in the memory.)
Current workaround: If the memory is sufficient to store whole training data, it is good to specify -m 1000000 (sufficiently large value for the option -m) to assure using the memory as possible.

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