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GPUNode is the hoster's per-node view of GPUs and the binder's source of device health, so something on each node has to report it. The agent reads the GPU functions from sysfs and what kubelet's device plugins make of them from the pod-resources API. Plugins report devices by PCI address, mdev UUID or IOMMU group, so each ID is resolved through sysfs by its shape rather than by knowing the plugin. A group counts only through functions bound to vfio, so the plain indexes NVIDIA's container plugin may report do not read as groups. GPUs of NVIDIA's container plugin, reported by NVML UUID, cannot be placed through sysfs, but their resource name still joins resourceNames, since pods request GPUs by it. pod-resources carries no health; kubelet lists only healthy devices as allocatable, which is what the agent reads health from, and it counts them per function, because an mdev parent serves several. Pods in a final phase are skipped because kubelet 1.32 and 1.33 still list them with devices a new pod may hold. The binder writes conditions into the same status, so the agent only merge-patches its own fields, and it writes no GPUNode but its own node's. Assisted-by: LLM Signed-off-by: Aleksei Sviridkin <f@lex.la>
126 lines
4.3 KiB
Go
126 lines
4.3 KiB
Go
/*
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Copyright 2026 The Cozystack Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package agent
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import (
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"cmp"
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"slices"
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corev1 "k8s.io/api/core/v1"
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podresourcesv1 "k8s.io/kubelet/pkg/apis/podresources/v1"
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"k8s.io/utils/ptr"
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gpuv1alpha1 "github.com/cozystack/cozystack/api/gpu/v1alpha1"
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)
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// Inventory builds the agent's part of a GPUNode status: the GPU functions
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// under sysfs, with the resource name, allocatable count, health and user
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// that kubelet's pod-resources API reports for each, and the resource names
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// of GPUs, placed or not. live tells whether a listed pod still runs.
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//
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// The pod-resources API carries no device health. kubelet lists as
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// allocatable only the devices their plugin reports healthy, so a function
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// is healthy when every plugin device on it is allocatable, and unhealthy
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// when a live pod holds one that is not. A function no plugin device maps to
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// has no health; an unhealthy device that no pod holds looks the same.
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func Inventory(sysfs string, alloc *podresourcesv1.AllocatableResourcesResponse, pods []*podresourcesv1.PodResources, live func(namespace, name string) bool) (gpuv1alpha1.GPUNodeStatus, error) {
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gpus, err := scan(sysfs)
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if err != nil {
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return gpuv1alpha1.GPUNodeStatus{}, err
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}
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r := resolver{sysfs: sysfs, gpus: gpus}
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names := map[string]bool{}
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allocatable := map[[2]string]bool{}
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// Allocatable devices per function and resource name.
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counts := map[[2]string]int32{}
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claim := func(resourceName, id string, healthy bool) []string {
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// A GPU the agent cannot place still makes its name a GPU name.
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if nvmlUUID.MatchString(id) {
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names[resourceName] = true
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}
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addrs := r.resolve(id)
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for _, a := range addrs {
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d := gpus[a]
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// Two plugins on one function is a host-layer fault; the
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// smallest name keeps the report stable.
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if d.ResourceName == "" || resourceName < d.ResourceName {
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d.ResourceName = resourceName
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}
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d.Healthy = ptr.To(healthy && ptr.Deref(d.Healthy, true))
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gpus[a] = d
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names[resourceName] = true
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}
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return addrs
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}
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for _, cd := range alloc.GetDevices() {
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for _, id := range cd.GetDeviceIds() {
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allocatable[[2]string{cd.GetResourceName(), id}] = true
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for _, a := range claim(cd.GetResourceName(), id, true) {
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counts[[2]string{a, cd.GetResourceName()}]++
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}
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}
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}
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for _, p := range pods {
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if !live(p.GetNamespace(), p.GetName()) {
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continue
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}
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user := &gpuv1alpha1.GPUPodReference{Namespace: p.GetNamespace(), Pod: p.GetName()}
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for _, c := range p.GetContainers() {
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for _, cd := range c.GetDevices() {
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for _, id := range cd.GetDeviceIds() {
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for _, a := range claim(cd.GetResourceName(), id, allocatable[[2]string{cd.GetResourceName(), id}]) {
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// The schema holds one user per function, and an mdev
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// parent can serve several pods: report the smallest by
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// namespace and name, so the report is stable.
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d := gpus[a]
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if d.UsedBy == nil || refLess(user, d.UsedBy) {
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d.UsedBy = user
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}
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gpus[a] = d
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}
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}
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}
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}
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}
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var st gpuv1alpha1.GPUNodeStatus
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for a, d := range gpus {
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if d.ResourceName != "" {
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d.Allocatable = ptr.To(counts[[2]string{a, d.ResourceName}])
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}
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st.Devices = append(st.Devices, d)
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}
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slices.SortFunc(st.Devices, func(a, b gpuv1alpha1.GPUNodeDevice) int { return cmp.Compare(a.PCIAddress, b.PCIAddress) })
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for n := range names {
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st.ResourceNames = append(st.ResourceNames, n)
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}
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slices.Sort(st.ResourceNames)
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return st, nil
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}
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func refLess(a, b *gpuv1alpha1.GPUPodReference) bool {
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return cmp.Or(cmp.Compare(a.Namespace, b.Namespace), cmp.Compare(a.Pod, b.Pod)) < 0
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}
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// podLive is false in a final phase. kubelet 1.32 and 1.33 still list such
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// pods with the devices they held, which a new pod may already use.
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func podLive(phase corev1.PodPhase) bool {
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return phase != corev1.PodSucceeded && phase != corev1.PodFailed
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}
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