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Delete in-tree support for NVIDIA GPUs.

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This removes the alpha Accelerators feature gate which was deprecated in 1.10.
The alternative feature DevicePlugins went beta in 1.10.
This commit is contained in:
Rohit Agarwal
2018-03-21 13:56:51 -07:00
parent 1f69c34478
commit 87dda3375b
38 changed files with 42 additions and 1315 deletions
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9
pkg/scheduler/algorithm/predicates/predicates.go
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@@ -682,10 +682,6 @@ func GetResourceRequest(pod *v1.Pod) *schedulercache.Resource {
if cpu := rQuantity.MilliValue(); cpu > result.MilliCPU {
result.MilliCPU = cpu
}
case v1.ResourceNvidiaGPU:
if gpu := rQuantity.Value(); gpu > result.NvidiaGPU {
result.NvidiaGPU = gpu
}
default:
if v1helper.IsScalarResourceName(rName) {
value := rQuantity.Value()
@@ -734,7 +730,6 @@ func PodFitsResources(pod *v1.Pod, meta algorithm.PredicateMetadata, nodeInfo *s
}
if podRequest.MilliCPU == 0 &&
podRequest.Memory == 0 &&
podRequest.NvidiaGPU == 0 &&
podRequest.EphemeralStorage == 0 &&
len(podRequest.ScalarResources) == 0 {
return len(predicateFails) == 0, predicateFails, nil
@@ -747,10 +742,6 @@ func PodFitsResources(pod *v1.Pod, meta algorithm.PredicateMetadata, nodeInfo *s
if allocatable.Memory < podRequest.Memory+nodeInfo.RequestedResource().Memory {
predicateFails = append(predicateFails, NewInsufficientResourceError(v1.ResourceMemory, podRequest.Memory, nodeInfo.RequestedResource().Memory, allocatable.Memory))
}
if allocatable.NvidiaGPU < podRequest.NvidiaGPU+nodeInfo.RequestedResource().NvidiaGPU {
predicateFails = append(predicateFails, NewInsufficientResourceError(v1.ResourceNvidiaGPU, podRequest.NvidiaGPU, nodeInfo.RequestedResource().NvidiaGPU, allocatable.NvidiaGPU))
}
if allocatable.EphemeralStorage < podRequest.EphemeralStorage+nodeInfo.RequestedResource().EphemeralStorage {
predicateFails = append(predicateFails, NewInsufficientResourceError(v1.ResourceEphemeralStorage, podRequest.EphemeralStorage, nodeInfo.RequestedResource().EphemeralStorage, allocatable.EphemeralStorage))
}