在深度学习“ mxnet”中，限制核心数（cpu） [英] In Deep Learning "mxnet", restrict number of core (cpu)

问题描述

命令 ctx = mx.cpu（）占用了所有可用的CPU。如何限制仅使用某个数字-说出8个核心中的6个

The command "ctx=mx.cpu()" is taking all available CPU. How to restrict to use a certain number only - say 6 out of 8 core

推荐答案

不幸的是-不。即使cpu上下文将int作为输入参数：

Unfortunately - no. Even though the cpu context has int as an input argument:

def cpu(device_id=0):
    """Returns a CPU context.

根据官方文档：

 Parameters
 ----------
 device_id : int, optional
     The device id of the device. `device_id` is not needed for CPU.
     This is included to make interface compatible with GPU.

但是，从理论上讲，将来可能会更改，因为存在device_id参数。但是现在MXNet会使用所有可用的内核。

However, in theory, it might be changed in the future since the device_id argument is there. But for now MXNet takes all available cores.

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