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pairwise_marginal for bigger datasets - gpu batching #13

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khosravipasha opened this issue Feb 2, 2022 · 0 comments

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khosravipasha commented Feb 2, 2022

Currently we need to allocate few big CuArrays at the same time

2 * (dataset_size, features) => float(data), float(not_data), each around 1.4GB allocation for cat_mnist 2 * (60000, 6272)
(features, features, 4) => for storing MI's; around 600MB for (6272,6272).
few other smaller ones

Overall need around 4-5GB GPU memory here, so on bigger datasets need batching or something.

khosravipasha added the Low Priority label

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