Reviewed-on: https://openi.pcl.ac.cn/OpenI/aiforge/pulls/3543 Reviewed-by: zouap <zouap@pcl.ac.cn>fix-3338
@@ -1470,7 +1470,7 @@ type GetNotebookListResult struct { | |||
NotebookList []NotebookList `json:"data"` | |||
} | |||
//Grampus | |||
// Grampus | |||
type GrampusResult struct { | |||
ErrorCode int `json:"errorCode"` | |||
ErrorMsg string `json:"errorMsg"` | |||
@@ -2200,8 +2200,10 @@ func GetGPUStoppedNotDebugJobDaysAgo(days int, limit int) ([]*Cloudbrain, error) | |||
Find(&cloudbrains) | |||
} | |||
/** | |||
本方法考虑了再次调试的情况,多次调试取最后一次的任务的结束时间 | |||
/* | |||
* | |||
本方法考虑了再次调试的情况,多次调试取最后一次的任务的结束时间 | |||
*/ | |||
func GetGPUStoppedDebugJobDaysAgo(days int, limit int) ([]*Cloudbrain, error) { | |||
cloudbrains := make([]*Cloudbrain, 0, 10) | |||
@@ -2664,7 +2666,7 @@ type DatasetInfo struct { | |||
Name string | |||
FullName string | |||
Type int | |||
Size int | |||
Size int64 | |||
} | |||
func GetDatasetInfo(uuidStr string, grampusType ...string) (map[string]DatasetInfo, string, error) { | |||
@@ -2727,7 +2729,7 @@ func GetDatasetInfo(uuidStr string, grampusType ...string) (map[string]DatasetIn | |||
Name: fileName, | |||
FullName: attach.Name, | |||
Type: attach.Type, | |||
Size: int(attach.Size), | |||
Size: attach.Size, | |||
} | |||
if i == 0 { | |||
datasetNames = attach.Name | |||
@@ -3322,6 +3322,7 @@ Stopped_failed=Fail to stop the job, please try again later. | |||
Stopped_success_update_status_fail=Succeed in stopping th job, but failed to update the job status and duration time. | |||
load_code_failed=Fail to load code, please check if the right branch is selected. | |||
error.debug_datasetsize = The size of dataset exceeds limitation (%dGB) | |||
error.dataset_select = dataset select error:the count exceed the limit or has same name | |||
error.partial_datasets_not_available = There are non-existent or deleted files in the selected dataset file, please select again | |||
new_train_gpu_tooltips = The code is storaged in <strong style="color:#010101">%s</strong>, the dataset is storaged in <strong style="color:#010101">%s</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">%s</strong>, and please put your model into <strong style="color:#010101">%s</strong> then you can download it online | |||
@@ -3343,7 +3343,7 @@ Stopped_failed=任务停止失败,请稍后再试。 | |||
Stopped_success_update_status_fail=任务停止成功,状态及运行时间更新失败。 | |||
load_code_failed=代码加载失败,请确认选择了正确的分支。 | |||
error.debug_datasetsize = 数据集大小超过限制('%d'GB) | |||
error.debug_datasetsize = 数据集大小超过限制(%dGB) | |||
error.dataset_select = 数据集选择错误:数量超过限制或者有同名数据集 | |||
error.partial_datasets_not_available = 选择的数据集文件中有不存在或已删除的文件,请重新选择 | |||
new_train_gpu_tooltips = 训练脚本存储在 <strong style="color:#010101">%s</strong> 中,数据集存储在 <strong style="color:#010101">%s</strong> 中,预训练模型存放在运行参数 <strong style="color:#010101">%s</strong> 中,训练输出请存储在 <strong style="color:#010101">%s</strong> 中以供后续下载。 | |||
@@ -285,7 +285,7 @@ func cloudBrainCreate(ctx *context.Context, form auth.CreateCloudBrainForm) { | |||
} | |||
var datasetInfos map[string]models.DatasetInfo | |||
var datasetNames string | |||
var attachSize int | |||
var attachSize int64 | |||
if uuids != "" { | |||
datasetInfos, datasetNames, err = models.GetDatasetInfo(uuids) | |||
if err != nil { | |||
@@ -299,10 +299,10 @@ func cloudBrainCreate(ctx *context.Context, form auth.CreateCloudBrainForm) { | |||
for _, infos := range datasetInfos { | |||
attachSize += infos.Size | |||
} | |||
if attachSize > int(setting.DebugAttachSize*1000*1000*1000) { | |||
log.Error("The DatasetSize exceeds the limit (%d)", int(setting.DebugAttachSize)) // GB | |||
if attachSize > int64(setting.DebugAttachSize*1000*1000*1000) { | |||
log.Error("The DatasetSize exceeds the limit (%dGB)", setting.DebugAttachSize) // GB | |||
cloudBrainNewDataPrepare(ctx, jobType) | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.debug_datasetsize", int(setting.DebugAttachSize*1000*1000*1000)), tpl, &form) | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.debug_datasetsize", setting.DebugAttachSize), tpl, &form) | |||
return | |||
} | |||
} | |||
@@ -603,8 +603,10 @@ func CloudBrainInferenceJobCreate(ctx *context.Context, form auth.CreateCloudBra | |||
} | |||
/** | |||
检查用户传输的参数是否符合专属资源池 | |||
/* | |||
* | |||
检查用户传输的参数是否符合专属资源池 | |||
*/ | |||
func checkCloudBrainSpecialPool(ctx *context.Context, jobType string, queue string, resourceSpecId int) string { | |||
if cloudbrain.SpecialPools != nil { | |||
@@ -746,7 +748,6 @@ func CloudBrainRestart(ctx *context.Context) { | |||
}) | |||
} | |||
func hasDatasetDeleted(task *models.Cloudbrain) bool { | |||
if task.Uuid == "" { | |||
return false | |||
@@ -1321,8 +1322,8 @@ func DeleteJobsByRepoID(repoID int64) { | |||
DeleteJobs(cloudBrains) | |||
} | |||
/** | |||
/* | |||
* | |||
*/ | |||
func StopJobs(cloudBrains []*models.Cloudbrain) { | |||
@@ -202,6 +202,7 @@ func GrampusNotebookCreate(ctx *context.Context, form auth.CreateGrampusNotebook | |||
var datasetInfos map[string]models.DatasetInfo | |||
var datasetNames string | |||
var attachSize int64 | |||
//var | |||
if uuid != "" { | |||
datasetInfos, datasetNames, err = models.GetDatasetInfo(uuid, computeSourceSimple) | |||
@@ -217,6 +218,15 @@ func GrampusNotebookCreate(ctx *context.Context, form auth.CreateGrampusNotebook | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.partial_datasets_not_available"), tpl, &form) | |||
return | |||
} | |||
for _, infos := range datasetInfos { | |||
attachSize += infos.Size | |||
} | |||
if attachSize > int64(setting.DebugAttachSize*1000*1000*1000) { | |||
log.Error("The DatasetSize exceeds the limit (%dGB)", setting.DebugAttachSize) // GB | |||
grampusNotebookNewDataPrepare(ctx, processType) | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.debug_datasetsize", setting.DebugAttachSize), tpl, &form) | |||
return | |||
} | |||
} | |||
//prepare code and out path | |||
@@ -220,16 +220,16 @@ func Notebook2Create(ctx *context.Context, form auth.CreateModelArtsNotebookForm | |||
} | |||
var datasetInfos map[string]models.DatasetInfo | |||
var attachSize int | |||
var attachSize int64 | |||
if uuid != "" { | |||
datasetInfos, _, err = models.GetDatasetInfo(uuid) | |||
for _, infos := range datasetInfos { | |||
attachSize += infos.Size | |||
} | |||
if attachSize > int(setting.DebugAttachSize*1000*1000*1000) { | |||
log.Error("The DatasetSize exceeds the limit (%d)", int(setting.DebugAttachSize)) //GB | |||
if attachSize > int64(setting.DebugAttachSize*1000*1000*1000) { | |||
log.Error("The DatasetSize exceeds the limit (%dGB)", setting.DebugAttachSize) //GB | |||
notebookNewDataPrepare(ctx) | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.debug_datasetsize", int(setting.DebugAttachSize*1000*1000*1000)), tplModelArtsNotebookNew, &form) | |||
ctx.RenderWithErr(ctx.Tr("cloudbrain.error.debug_datasetsize", setting.DebugAttachSize), tplModelArtsNotebookNew, &form) | |||
return | |||
} | |||
} | |||