pytorch如何设置batch-size和num_workers，避免超显存, 并提高实验速度？ - 知乎
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batch size 一般是往大了调，调到显存不能再放下报cuda oom的报错为止。. 然后num worker是dataset的进程数，要理解 pytorch 的训练过程是一个生产消费模型，一端是cpu处理数据，放到一个queue里，一端是gpu计算数据。
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