Comments (4)
你好,ParallelExecutor和Program没有看到明显错误,如果有遇到具体问题,可以再讨论。
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现在有些问题需要咨询一下:
- 在1.6 的paddle中,
ParallelExecutor
需要确定loss_name
。请问代码中base_sample_exes
、pc_sample_exes
、vr_sample_exes
的ParallelExecutor
仅仅是作为前向操作,不需要训练损失。请问该如何设定呢? - xparl 命令中
cpu_num
是指CPU的核心数(物理或逻辑内核数)还是CPU的个数? - 如何保存模型
from parl.
- ParallelExecutor提供loss_name是用于做数据并行化的训练,如果只是做预测(前向操作)的话,是不需要提供的。
- cpu_num 指的是后者。
- 参考PR,agent有直接保存模型的接口。
from parl.
@ddayzzz 感谢你指出的疑惑!我们现在新增了关于参数保存以及加载的文档 #172 ,很快就会合并到主干。
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