Move gpu_util.go to e2e/framework/gpu

test/e2e/framework/BUILD

@@ -14,7 +14,6 @@ go_library(
         "framework.go",
         "get-kubemark-resource-usage.go",
         "google_compute.go",
-        "gpu_util.go",
         "jobs_util.go",
         "kubelet_stats.go",
         "log_size_monitoring.go",
@@ -156,6 +155,7 @@ filegroup(
         ":package-srcs",
         "//test/e2e/framework/config:all-srcs",
         "//test/e2e/framework/ginkgowrapper:all-srcs",
+        "//test/e2e/framework/gpu:all-srcs",
         "//test/e2e/framework/ingress:all-srcs",
         "//test/e2e/framework/metrics:all-srcs",
         "//test/e2e/framework/podlogs:all-srcs",

test/e2e/framework/gpu/BUILD

@@ -0,0 +1,29 @@
+load("@io_bazel_rules_go//go:def.bzl", "go_library")
+
+go_library(
+    name = "go_default_library",
+    srcs = ["gpu_util.go"],
+    importpath = "k8s.io/kubernetes/test/e2e/framework/gpu",
+    visibility = ["//visibility:public"],
+    deps = [
+        "//staging/src/k8s.io/api/core/v1:go_default_library",
+        "//staging/src/k8s.io/apimachinery/pkg/apis/meta/v1:go_default_library",
+        "//staging/src/k8s.io/apimachinery/pkg/util/uuid:go_default_library",
+        "//test/e2e/framework:go_default_library",
+        "//vendor/k8s.io/klog:go_default_library",
+    ],
+)
+
+filegroup(
+    name = "package-srcs",
+    srcs = glob(["**"]),
+    tags = ["automanaged"],
+    visibility = ["//visibility:private"],
+)
+
+filegroup(
+    name = "all-srcs",
+    srcs = [":package-srcs"],
+    tags = ["automanaged"],
+    visibility = ["//visibility:public"],
+)

test/e2e/framework/gpu/gpu_util.go

@@ -14,13 +14,14 @@ See the License for the specific language governing permissions and
 limitations under the License.
 */
 
-package framework
+package gpu
 
 import (
 	v1 "k8s.io/api/core/v1"
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	"k8s.io/apimachinery/pkg/util/uuid"
 	"k8s.io/klog"
+	"k8s.io/kubernetes/test/e2e/framework"
 )
 
 const (
@@ -48,8 +49,8 @@ func NumberOfNVIDIAGPUs(node *v1.Node) int64 {
 
 // NVIDIADevicePlugin returns the official Google Device Plugin pod for NVIDIA GPU in GKE
 func NVIDIADevicePlugin() *v1.Pod {
-	ds, err := DsFromManifest(GPUDevicePluginDSYAML)
+	ds, err := framework.DsFromManifest(GPUDevicePluginDSYAML)
-	ExpectNoError(err)
+	framework.ExpectNoError(err)
 	p := &v1.Pod{
 		ObjectMeta: metav1.ObjectMeta{
 			Name:      "device-plugin-nvidia-gpu-" + string(uuid.NewUUID()),
@@ -64,7 +65,7 @@ func NVIDIADevicePlugin() *v1.Pod {
 
 // GetGPUDevicePluginImage returns the image of GPU device plugin.
 func GetGPUDevicePluginImage() string {
-	ds, err := DsFromManifest(GPUDevicePluginDSYAML)
+	ds, err := framework.DsFromManifest(GPUDevicePluginDSYAML)
 	if err != nil {
 		klog.Errorf("Failed to parse the device plugin image: %v", err)
 		return ""

test/e2e/instrumentation/monitoring/BUILD

@@ -37,6 +37,7 @@ go_library(
         "//test/e2e/common:go_default_library",
         "//test/e2e/framework:go_default_library",
         "//test/e2e/framework/config:go_default_library",
+        "//test/e2e/framework/gpu:go_default_library",
         "//test/e2e/framework/metrics:go_default_library",
         "//test/e2e/instrumentation/common:go_default_library",
         "//test/e2e/scheduling:go_default_library",

test/e2e/instrumentation/monitoring/accelerator.go

@@ -24,11 +24,12 @@ import (
 	"github.com/onsi/ginkgo"
 	"golang.org/x/oauth2/google"
 	gcm "google.golang.org/api/monitoring/v3"
-	"k8s.io/api/core/v1"
+	v1 "k8s.io/api/core/v1"
 	"k8s.io/apimachinery/pkg/api/resource"
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	"k8s.io/apimachinery/pkg/util/wait"
 	"k8s.io/kubernetes/test/e2e/framework"
+	"k8s.io/kubernetes/test/e2e/framework/gpu"
 	instrumentation "k8s.io/kubernetes/test/e2e/instrumentation/common"
 	"k8s.io/kubernetes/test/e2e/scheduling"
 	"k8s.io/kubernetes/test/utils/image"
@@ -88,7 +89,7 @@ func testStackdriverAcceleratorMonitoring(f *framework.Framework) {
 					Args:    []string{"nvidia-smi && sleep infinity"},
 					Resources: v1.ResourceRequirements{
 						Limits: v1.ResourceList{
-							framework.NVIDIAGPUResourceName: *resource.NewQuantity(1, resource.DecimalSI),
+							gpu.NVIDIAGPUResourceName: *resource.NewQuantity(1, resource.DecimalSI),
 						},
 					},
 				},

test/e2e/scheduling/BUILD

@@ -44,6 +44,7 @@ go_library(
         "//staging/src/k8s.io/client-go/tools/cache:go_default_library",
         "//test/e2e/common:go_default_library",
         "//test/e2e/framework:go_default_library",
+        "//test/e2e/framework/gpu:go_default_library",
         "//test/e2e/framework/providers/gce:go_default_library",
         "//test/utils:go_default_library",
         "//test/utils/image:go_default_library",

test/e2e/scheduling/nvidia-gpus.go

@@ -20,12 +20,13 @@ import (
 	"os"
 	"time"
 
-	"k8s.io/api/core/v1"
+	v1 "k8s.io/api/core/v1"
 	"k8s.io/apimachinery/pkg/api/resource"
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	"k8s.io/apimachinery/pkg/util/uuid"
 	extensionsinternal "k8s.io/kubernetes/pkg/apis/extensions"
 	"k8s.io/kubernetes/test/e2e/framework"
+	"k8s.io/kubernetes/test/e2e/framework/gpu"
 	imageutils "k8s.io/kubernetes/test/utils/image"
 
 	. "github.com/onsi/ginkgo"
@@ -114,7 +115,7 @@ func SetupNVIDIAGPUNode(f *framework.Framework, setupResourceGatherer bool) *fra
 	} else {
 		dsYamlUrl = "https://raw.githubusercontent.com/GoogleCloudPlatform/container-engine-accelerators/master/daemonset.yaml"
 	}
-	gpuResourceName = framework.NVIDIAGPUResourceName
+	gpuResourceName = gpu.NVIDIAGPUResourceName
 
 	framework.Logf("Using %v", dsYamlUrl)
 	// Creates the DaemonSet that installs Nvidia Drivers.

test/e2e/upgrades/BUILD

@@ -37,6 +37,7 @@ go_library(
         "//staging/src/k8s.io/client-go/kubernetes:go_default_library",
         "//test/e2e/common:go_default_library",
         "//test/e2e/framework:go_default_library",
+        "//test/e2e/framework/gpu:go_default_library",
         "//test/e2e/framework/testfiles:go_default_library",
         "//test/e2e/scheduling:go_default_library",
         "//test/utils/image:go_default_library",

test/e2e/upgrades/nvidia-gpu.go

@@ -23,6 +23,7 @@ import (
 	v1 "k8s.io/api/core/v1"
 	"k8s.io/apimachinery/pkg/api/resource"
 	"k8s.io/kubernetes/test/e2e/framework"
+	"k8s.io/kubernetes/test/e2e/framework/gpu"
 	"k8s.io/kubernetes/test/e2e/scheduling"
 	imageutils "k8s.io/kubernetes/test/utils/image"
 
@@ -78,7 +79,7 @@ func (t *NvidiaGPUUpgradeTest) startJob(f *framework.Framework) {
 				Command: []string{"/bin/sh", "-c", "./vectorAdd && sleep 60"},
 				Resources: v1.ResourceRequirements{
 					Limits: v1.ResourceList{
-						framework.NVIDIAGPUResourceName: *resource.NewQuantity(1, resource.DecimalSI),
+						gpu.NVIDIAGPUResourceName: *resource.NewQuantity(1, resource.DecimalSI),
 					},
 				},
 			},

test/e2e_node/BUILD

@@ -47,6 +47,7 @@ go_library(
         "//staging/src/k8s.io/kubelet/config/v1beta1:go_default_library",
         "//test/e2e/common:go_default_library",
         "//test/e2e/framework:go_default_library",
+        "//test/e2e/framework/gpu:go_default_library",
         "//test/e2e/framework/metrics:go_default_library",
         "//test/utils/image:go_default_library",
         "//vendor/github.com/blang/semver:go_default_library",

test/e2e_node/gpu_device_plugin.go

@@ -21,10 +21,11 @@ import (
 	"strconv"
 	"time"
 
-	"k8s.io/api/core/v1"
+	v1 "k8s.io/api/core/v1"
 	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
 	kubeletmetrics "k8s.io/kubernetes/pkg/kubelet/metrics"
 	"k8s.io/kubernetes/test/e2e/framework"
+	"k8s.io/kubernetes/test/e2e/framework/gpu"
 	"k8s.io/kubernetes/test/e2e/framework/metrics"
 
 	. "github.com/onsi/ginkgo"
@@ -46,15 +47,15 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
 			}
 
 			By("Creating the Google Device Plugin pod for NVIDIA GPU in GKE")
-			devicePluginPod, err = f.ClientSet.CoreV1().Pods(metav1.NamespaceSystem).Create(framework.NVIDIADevicePlugin())
+			devicePluginPod, err = f.ClientSet.CoreV1().Pods(metav1.NamespaceSystem).Create(gpu.NVIDIADevicePlugin())
 			framework.ExpectNoError(err)
 
 			By("Waiting for GPUs to become available on the local node")
 			Eventually(func() bool {
-				return framework.NumberOfNVIDIAGPUs(getLocalNode(f)) > 0
+				return gpu.NumberOfNVIDIAGPUs(getLocalNode(f)) > 0
 			}, 5*time.Minute, framework.Poll).Should(BeTrue())
 
-			if framework.NumberOfNVIDIAGPUs(getLocalNode(f)) < 2 {
+			if gpu.NumberOfNVIDIAGPUs(getLocalNode(f)) < 2 {
 				Skip("Not enough GPUs to execute this test (at least two needed)")
 			}
 		})
@@ -75,7 +76,7 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
 		It("checks that when Kubelet restarts exclusive GPU assignation to pods is kept.", func() {
 			By("Creating one GPU pod on a node with at least two GPUs")
 			podRECMD := "devs=$(ls /dev/ | egrep '^nvidia[0-9]+$') && echo gpu devices: $devs"
-			p1 := f.PodClient().CreateSync(makeBusyboxPod(framework.NVIDIAGPUResourceName, podRECMD))
+			p1 := f.PodClient().CreateSync(makeBusyboxPod(gpu.NVIDIAGPUResourceName, podRECMD))
 
 			deviceIDRE := "gpu devices: (nvidia[0-9]+)"
 			devId1 := parseLog(f, p1.Name, p1.Name, deviceIDRE)
@@ -94,9 +95,9 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
 			restartKubelet()
 			framework.WaitForAllNodesSchedulable(f.ClientSet, framework.TestContext.NodeSchedulableTimeout)
 			Eventually(func() bool {
-				return framework.NumberOfNVIDIAGPUs(getLocalNode(f)) > 0
+				return gpu.NumberOfNVIDIAGPUs(getLocalNode(f)) > 0
 			}, 5*time.Minute, framework.Poll).Should(BeTrue())
-			p2 := f.PodClient().CreateSync(makeBusyboxPod(framework.NVIDIAGPUResourceName, podRECMD))
+			p2 := f.PodClient().CreateSync(makeBusyboxPod(gpu.NVIDIAGPUResourceName, podRECMD))
 
 			By("Checking that pods got a different GPU")
 			devId2 := parseLog(f, p2.Name, p2.Name, deviceIDRE)
@@ -109,7 +110,7 @@ var _ = framework.KubeDescribe("NVIDIA GPU Device Plugin [Feature:GPUDevicePlugi
 			Eventually(func() bool {
 				node, err := f.ClientSet.CoreV1().Nodes().Get(framework.TestContext.NodeName, metav1.GetOptions{})
 				framework.ExpectNoError(err)
-				return framework.NumberOfNVIDIAGPUs(node) <= 0
+				return gpu.NumberOfNVIDIAGPUs(node) <= 0
 			}, 10*time.Minute, framework.Poll).Should(BeTrue())
 			By("Checking that scheduled pods can continue to run even after we delete device plugin.")
 			ensurePodContainerRestart(f, p1.Name, p1.Name)

test/e2e_node/image_list.go

@@ -30,6 +30,7 @@ import (
 	runtimeapi "k8s.io/cri-api/pkg/apis/runtime/v1alpha2"
 	commontest "k8s.io/kubernetes/test/e2e/common"
 	"k8s.io/kubernetes/test/e2e/framework"
+	"k8s.io/kubernetes/test/e2e/framework/gpu"
 	imageutils "k8s.io/kubernetes/test/utils/image"
 )
 
@@ -52,7 +53,7 @@ var NodeImageWhiteList = sets.NewString(
 	imageutils.GetE2EImage(imageutils.Netexec),
 	imageutils.GetE2EImage(imageutils.Nonewprivs),
 	imageutils.GetPauseImageName(),
-	framework.GetGPUDevicePluginImage(),
+	gpu.GetGPUDevicePluginImage(),
 	"gcr.io/kubernetes-e2e-test-images/node-perf/npb-is:1.0",
 	"gcr.io/kubernetes-e2e-test-images/node-perf/npb-ep:1.0",
 	"gcr.io/kubernetes-e2e-test-images/node-perf/tf-wide-deep-amd64:1.0",