Allocate device core and memory resource

To allocate a certain part of device core resource, you need only to assign the hygon.com/hcucores and hygon.com/hcumem along with the number of hygon HCUs you requested in the container using hygon.com/hcunum

apiVersion: v1
kind: Pod
metadata:
  name: alexnet-tf-gpu-pod-mem
  labels:
    purpose: demo-tf-amdgpu
spec:
  containers:
    - name: alexnet-tf-gpu-container
      image: harbor.sourcefind.cn:5443/hcu/admin/base/pytorch:2.1.0-ubuntu22.04-dtk24.04.2-py3.10
      workingDir: /root
      command: ["sleep", "infinity"]
      resources:
        limits:
          hygon.com/hcunum: 1 # requesting an HCU
          hygon.com/hcumem: 2000 # each hcu require 2000 MiB device memory
          hygon.com/hcucores: 15 # each hcu use 15% device cores