fix a bug in nvidia gpu allocation and added unit test

Signed-off-by: Vishnu kannan <vishnuk@google.com>
This commit is contained in:
Vishnu kannan 2017-02-27 22:13:43 -08:00
parent 2554b95994
commit 13582a65aa
5 changed files with 170 additions and 8 deletions

View File

@ -5,6 +5,7 @@ licenses(["notice"])
load(
"@io_bazel_rules_go//go:def.bzl",
"go_library",
"go_test",
)
go_library(
@ -36,3 +37,18 @@ filegroup(
srcs = [":package-srcs"],
tags = ["automanaged"],
)
go_test(
name = "go_default_test",
srcs = ["nvidia_gpu_manager_test.go"],
library = ":go_default_library",
tags = ["automanaged"],
deps = [
"//pkg/api/v1:go_default_library",
"//vendor:github.com/stretchr/testify/assert",
"//vendor:k8s.io/apimachinery/pkg/api/resource",
"//vendor:k8s.io/apimachinery/pkg/apis/meta/v1",
"//vendor:k8s.io/apimachinery/pkg/util/sets",
"//vendor:k8s.io/apimachinery/pkg/util/uuid",
],
)

View File

@ -53,7 +53,7 @@ func (pgpu *podGPUs) delete(pods []string) {
func (pgpu *podGPUs) devices() sets.String {
ret := sets.NewString()
for _, devices := range pgpu.podGPUMapping {
ret.Union(devices)
ret = ret.Union(devices)
}
return ret
}

View File

@ -80,7 +80,7 @@ func NewNvidiaGPUManager(activePodsLister activePodsLister, dockerClient dockert
// Initialize the GPU devices, so far only needed to discover the GPU paths.
func (ngm *nvidiaGPUManager) Start() error {
if ngm.dockerClient == nil {
return fmt.Errorf("invalid docker client specified")
return fmt.Errorf("Invalid docker client specified in GPU Manager")
}
ngm.Lock()
defer ngm.Unlock()
@ -94,7 +94,7 @@ func (ngm *nvidiaGPUManager) Start() error {
}
ngm.defaultDevices = []string{nvidiaCtlDevice, nvidiaUVMDevice}
_, err := os.Stat(nvidiaUVMToolsDevice)
if os.IsNotExist(err) {
if !os.IsNotExist(err) {
ngm.defaultDevices = append(ngm.defaultDevices, nvidiaUVMToolsDevice)
}
@ -154,12 +154,14 @@ func (ngm *nvidiaGPUManager) AllocateGPU(pod *v1.Pod, container *v1.Container) (
}
// Get GPU devices in use.
devicesInUse := ngm.allocated.devices()
glog.V(5).Infof("gpus in use: %v", devicesInUse.List())
// Get a list of available GPUs.
available := ngm.allGPUs.Difference(devicesInUse)
glog.V(5).Infof("gpus available: %v", available.List())
if int64(available.Len()) < gpusNeeded {
return nil, fmt.Errorf("requested number of GPUs unavailable. Requested: %d, Available: %d", gpusNeeded, available.Len())
}
ret := available.List()[:gpusNeeded]
ret := available.UnsortedList()[:gpusNeeded]
for _, device := range ret {
// Update internal allocated GPU cache.
ngm.allocated.insert(string(pod.UID), device)
@ -184,6 +186,7 @@ func (ngm *nvidiaGPUManager) updateAllocatedGPUs() error {
}
allocatedPodUids := ngm.allocated.pods()
podsToBeRemoved := allocatedPodUids.Difference(activePodUids)
glog.V(5).Infof("pods to be removed: %v", podsToBeRemoved.List())
ngm.allocated.delete(podsToBeRemoved.List())
return nil
}

View File

@ -0,0 +1,144 @@
/*
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")
}

View File

@ -400,10 +400,9 @@ func TestUpdateExistingNodeStatus(t *testing.T) {
v1.ResourcePods: *resource.NewQuantity(0, resource.DecimalSI),
},
Allocatable: v1.ResourceList{
v1.ResourceCPU: *resource.NewMilliQuantity(2800, resource.DecimalSI),
v1.ResourceMemory: *resource.NewQuantity(19900E6, resource.BinarySI),
v1.ResourcePods: *resource.NewQuantity(0, resource.DecimalSI),
v1.ResourceNvidiaGPU: *resource.NewQuantity(0, resource.DecimalSI),
v1.ResourceCPU: *resource.NewMilliQuantity(2800, resource.DecimalSI),
v1.ResourceMemory: *resource.NewQuantity(19900E6, resource.BinarySI),
v1.ResourcePods: *resource.NewQuantity(0, resource.DecimalSI),
},
},
}