/* Copyright 2017 The Kubernetes Authors. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ package nvidia import ( "testing" "github.com/stretchr/testify/assert" "k8s.io/apimachinery/pkg/api/resource" metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" "k8s.io/apimachinery/pkg/util/sets" "k8s.io/apimachinery/pkg/util/uuid" "k8s.io/kubernetes/pkg/api/v1" ) type testActivePodsLister struct { activePods []*v1.Pod } func (tapl *testActivePodsLister) GetRunningPods() ([]*v1.Pod, error) { return tapl.activePods, nil } func makeTestPod(numContainers int) *v1.Pod { quantity := resource.NewQuantity(1, resource.DecimalSI) resources := v1.ResourceRequirements{ Limits: v1.ResourceList{ v1.ResourceNvidiaGPU: *quantity, }, } pod := &v1.Pod{ ObjectMeta: metav1.ObjectMeta{ UID: uuid.NewUUID(), }, Spec: v1.PodSpec{ Containers: []v1.Container{}, }, } for ; numContainers > 0; numContainers-- { pod.Spec.Containers = append(pod.Spec.Containers, v1.Container{ Resources: resources, }) } return pod } func TestMultiContainerPodGPUAllocation(t *testing.T) { podLister := &testActivePodsLister{} testGpuManager := &nvidiaGPUManager{ activePodsLister: podLister, allGPUs: sets.NewString("/dev/nvidia0", "/dev/nvidia1"), allocated: newPodGPUs(), } // Expect that no devices are in use. gpusInUse, err := testGpuManager.gpusInUse() as := assert.New(t) as.Nil(err) as.Equal(len(gpusInUse.devices()), 0) // Allocated GPUs for a pod with two containers. pod := makeTestPod(2) // Allocate for the first container. devices1, err := testGpuManager.AllocateGPU(pod, &pod.Spec.Containers[0]) as.Nil(err) as.Equal(len(devices1), 1) podLister.activePods = append(podLister.activePods, pod) // Allocate for the second container. devices2, err := testGpuManager.AllocateGPU(pod, &pod.Spec.Containers[1]) as.Nil(err) as.Equal(len(devices2), 1) as.NotEqual(devices1, devices2, "expected containers to get different devices") // further allocations should fail. newPod := makeTestPod(2) devices1, err = testGpuManager.AllocateGPU(newPod, &newPod.Spec.Containers[0]) as.NotNil(err, "expected gpu allocation to fail. got: %v", devices1) // Now terminate the original pod and observe that GPU allocation for new pod succeeds. podLister.activePods = podLister.activePods[:0] devices1, err = testGpuManager.AllocateGPU(newPod, &newPod.Spec.Containers[0]) as.Nil(err) as.Equal(len(devices1), 1) podLister.activePods = append(podLister.activePods, newPod) devices2, err = testGpuManager.AllocateGPU(newPod, &newPod.Spec.Containers[1]) as.Nil(err) as.Equal(len(devices2), 1) as.NotEqual(devices1, devices2, "expected containers to get different devices") } func TestMultiPodGPUAllocation(t *testing.T) { podLister := &testActivePodsLister{} testGpuManager := &nvidiaGPUManager{ activePodsLister: podLister, allGPUs: sets.NewString("/dev/nvidia0", "/dev/nvidia1"), allocated: newPodGPUs(), } // Expect that no devices are in use. gpusInUse, err := testGpuManager.gpusInUse() as := assert.New(t) as.Nil(err) as.Equal(len(gpusInUse.devices()), 0) // Allocated GPUs for a pod with two containers. podA := makeTestPod(1) // Allocate for the first container. devicesA, err := testGpuManager.AllocateGPU(podA, &podA.Spec.Containers[0]) as.Nil(err) as.Equal(len(devicesA), 1) podLister.activePods = append(podLister.activePods, podA) // further allocations should fail. podB := makeTestPod(1) // Allocate for the first container. devicesB, err := testGpuManager.AllocateGPU(podB, &podB.Spec.Containers[0]) as.Nil(err) as.Equal(len(devicesB), 1) as.NotEqual(devicesA, devicesB, "expected pods to get different devices") }