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deep-learningmxnet

In Deep Learning "mxnet", restrict number of core (cpu)

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

Solution

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

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

    according to the official documentation:

     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.

    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.