Comments (5)
可以使用numpy或scipy中的sparse matrix来存储
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48万个节点,32G内存跑不同,在_create_A_L上报内存不够。
_create_A_L种构造矩阵的方式是否可优化,稀疏矩阵这样存储太浪费。
您好,请问该问题解决了吗?如何解决的
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可以使用numpy或scipy中的sparse matrix来存储
但是在训练的时候,还得用array 进行input,48万个节点,目测100G都不够用。
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@MarkovSc 改成Sparse placeholder输入
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这个并行实现是不是有点问题?不管开多少worker都不是并行,为什么不用py内置的并行模块呢?
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