Efficient Rematerialization for Deep Networks

NeurIPS 2019 Ravi KumarManish PurohitZoya SvitkinaErik VeeJoshua Wang

When training complex neural networks, memory usage can be an important bottleneck. The question of when to rematerialize, i.e., to recompute intermediate values rather than retaining them in memory, becomes critical to achieving the best time and space efficiency... (read more)

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