[WIP] Update FUNIT training code#2
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Mar 30, 2021
| labels_style: tp.Numpy.Placeholder((N,), dtype=flow.int32) | ||
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| with flow.scope.placement("gpu", f"0:{num_gpus-1}"): |
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流水并行的话，应该是网络某段只 place 在某张卡上，这里的设置就变成下面判别器部分的参数都在每张卡上复制一份了
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这里写的是如果只有1张卡，那判别器就放在卡0上；如果有2张卡，那判别器参数放在卡1上，为什么会两张卡都复制一份？
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