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update

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Newnius
2020-04-30 14:44:02 +08:00
parent f35eb44f8c
commit a677214b65
1 changed files with 6 additions and 2 deletions
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8
src/scheduler_fair.go
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@@ -185,6 +185,8 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
locks := map[int]sync.Mutex{}
allocationType := 1
var candidates []NodeStatus
/* first round, find vacant gpu */
for i := 0; i < pool.poolsCount; i++ {
@@ -193,7 +195,7 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
for _, node := range pool.pools[(i+poolID)%pool.poolsCount] {
var available []GPUStatus
for _, status := range node.Status {
if status.MemoryTotal >= task.MemoryGPU && status.MemoryUsed < 10 {
if status.MemoryAllocated == 0 && status.MemoryUsed < 10 {
available = append(available, status)
}
}
@@ -213,6 +215,7 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
/* second round, find sharable gpu */
if len(candidates) == 0 {
// check sharable
allocationType = 2
log.Info("dasdsa")
if util, valid := InstanceOfOptimizer().predictUtilGPU(job.Name); valid {
@@ -255,11 +258,12 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task) NodeStatus {
log.Info(candidates)
}
log.Info(allocationType)
/*assign*/
if len(candidates) > 0 {
var available []GPUStatus
for _, status := range candidates[0].Status {
if status.MemoryTotal >= task.MemoryGPU && status.MemoryUsed < 10 {
if status.MemoryAllocated == 0 && status.MemoryUsed < 10 {
available = append(available, status)
}
}