diff --git a/modules/cloudbrain/resty.go b/modules/cloudbrain/resty.go
index d9db3bbb5..8387d481a 100755
--- a/modules/cloudbrain/resty.go
+++ b/modules/cloudbrain/resty.go
@@ -81,7 +81,8 @@ func GetQueuesDetail() (*map[string]int, error) {
var jobResult models.QueueDetailResult
var result = make(map[string]int, 0)
-
+ retry := 0
+sendjob:
res, err := client.R().
SetHeader("Content-Type", "application/json").
SetAuthToken(TOKEN).
@@ -92,6 +93,12 @@ func GetQueuesDetail() (*map[string]int, error) {
return nil, fmt.Errorf("resty get queues detail failed: %s", err)
}
+ if jobResult.Code == errInvalidToken && retry < 1 {
+ retry++
+ _ = loginCloudbrain()
+ goto sendjob
+ }
+
if jobResult.Code != Success {
return nil, fmt.Errorf("jobResult err: %s", res.String())
}
diff --git a/options/locale/locale_en-US.ini b/options/locale/locale_en-US.ini
index 606152a71..03ab37143 100755
--- a/options/locale/locale_en-US.ini
+++ b/options/locale/locale_en-US.ini
@@ -1209,7 +1209,7 @@ modelarts.infer_job_model_file = Model File
modelarts.infer_job = Inference Job
modelarts.infer_job.model_version = Model/Version
modelarts.infer_job.select_model = Select Model
-modelarts.infer_job.boot_file_helper=The startup file is the entry file for your program execution and must end in.py.Such as inference.py, main.py, example/inference. Py, case/main.py.
+modelarts.infer_job.boot_file_helper=The startup file is the entry file for your program execution and must end in.py.Such as inference.py, main.py, example/inference.py, case/main.py.
modelarts.infer_job.tooltip = The model has been deleted and cannot be viewed.
modelarts.download_log=Download log file
@@ -1232,7 +1232,7 @@ model.manage.version = Version
model.manage.label = Label
model.manage.size = Size
model.manage.create_time = Create Time
-model.manage.Description = Description
+model.manage.description = Description
model.manage.Accuracy = Accuracy
model.manage.F1 = F1
model.manage.Precision = Precision
@@ -1244,6 +1244,49 @@ model.convert=Model Transformation
model.list=Model List
model.manage.create_new_convert_task=Create Model Transformation Task
+model.manage.notcreatemodel=No model has been created.
+model.manage.init1=Code version: You have not initialized the code repository, please
+model.manage.init2=initialized first ;
+model.manage.createtrainjob_tip=Training task: you haven't created a training task, please create it first
+model.manage.createtrainjob=Training task
+model.manage.delete=Delete Model
+model.manage.delete_confirm=Are you sure to delete this model? Once this model is deleted, it cannot be restored.
+model.manage.select.trainjob=Select train task
+model.manage.select.version=Select version
+model.manage.engine=Model engine
+model.manage.select.engine=Select model engine
+model.manage.modelfile=Model file
+model.manage.modellabel=Model label
+model.manage.modeldesc=Model description
+model.manage.baseinfo=Base Information
+modelconvert.notcreate=No model conversion task has been created.
+modelconvert.importfirst1=Please import first
+modelconvert.importfirst2=download model
+modelconvert.importfirst3=, then converts it.
+modelconvert.download=Download
+modelconvert.taskname=Task name
+modelconvert.modelname=Model name
+modelconvert.selectmodel=Select model
+modelconvert.modelversion=Model version
+modelconvert.selectversion=Select version
+modelconvert.selectmodelfile=Select model file
+modelconvert.taskstatus=Status
+modelconvert.srcengine=Source model engine
+modelconvert.outputformat=Output format
+modelconvert.createtime=Created time
+modelconvert.inputdataformat=Input data format
+modelconvert.inputshape=Input tensor shape
+modelconvert.inputshapetip=For example: 1,1,32,32, corresponding to the input data format.
+modelconvert.netoutputdata=Network output data type
+modelconvert.taskdesc=Task description
+modelconvert.newtask=New
+modelconvert.createtask=Create model transformation task
+modelconvert.taskurlname=Model transformation task
+log_scroll_start=Scroll to top
+log_scroll_end=Scroll to bottom
+modelconvert.tasknameempty=Please enter a task name.
+modelconvert.inputshapeerror=Format input error, please input such as: 1,1,32,32, corresponding to the input data format.
+
modelconvert.manage.create_error1=A model transformation task with the same name already exists.
modelconvert.manage.create_error2=Only one running model transformation task can be created.
modelconvert.manage.model_not_exist=The model does not exist.
diff --git a/options/locale/locale_zh-CN.ini b/options/locale/locale_zh-CN.ini
index d460e717b..355c2aa33 100755
--- a/options/locale/locale_zh-CN.ini
+++ b/options/locale/locale_zh-CN.ini
@@ -1257,6 +1257,50 @@ model.convert=模型转换任务
model.list=模型列表
model.manage.create_new_convert_task=创建模型转换任务
+model.manage.notcreatemodel=未创建过模型
+model.manage.init1=代码版本：您还没有初始化代码仓库，请先
+model.manage.init2=创建代码版本；
+model.manage.createtrainjob_tip=训练任务：您还没创建过训练任务，请先创建
+model.manage.createtrainjob=训练任务
+model.manage.delete=删除模型
+model.manage.delete_confirm=你确认删除该模型么？此模型一旦删除不可恢复。
+model.manage.select.trainjob=选择训练任务
+model.manage.select.version=选择版本
+model.manage.engine=模型框架
+model.manage.select.engine=选择模型框架
+model.manage.modelfile=模型文件
+model.manage.modellabel=模型标签
+model.manage.modeldesc=模型描述
+model.manage.baseinfo=基本信息
+modelconvert.notcreate=未创建过模型转换任务
+modelconvert.importfirst1=请您先导入
+modelconvert.importfirst2=模型下载
+modelconvert.importfirst3=，然后再对其进行转换。
+modelconvert.download=下载
+modelconvert.taskname=任务名称
+modelconvert.modelname=模型名称
+modelconvert.selectmodel=选择模型
+modelconvert.modelversion=模型版本
+modelconvert.selectversion=选择版本
+modelconvert.selectmodelfile=选择模型文件
+modelconvert.taskstatus=状态
+modelconvert.srcengine=原模型框架
+modelconvert.outputformat=转换后格式
+modelconvert.createtime=创建时间
+modelconvert.inputdataformat=输入数据格式
+modelconvert.inputshape=输入张量形状
+modelconvert.inputshapetip=如：1,1,32,32，与输入数据格式对应。
+modelconvert.netoutputdata=网络输出数据类型
+modelconvert.taskdesc=任务描述
+modelconvert.newtask=新建任务
+modelconvert.createtask=创建模型转换任务
+
+modelconvert.taskurlname=模型转换任务
+log_scroll_start=滚动到顶部
+log_scroll_end=滚动到底部
+modelconvert.tasknameempty=请输入任务名称。
+modelconvert.inputshapeerror=格式输入错误，请输入如：1,1,32,32，与输入数据格式对应。
+
modelconvert.manage.create_error1=相同的名称模型转换任务已经存在。
modelconvert.manage.create_error2=只能创建一个正在运行的模型转换任务。
modelconvert.manage.model_not_exist=选择的模型不存在。
diff --git a/templates/repo/cloudbrain/benchmark/new.tmpl b/templates/repo/cloudbrain/benchmark/new.tmpl
index a60f32853..32e715ab7 100755
--- a/templates/repo/cloudbrain/benchmark/new.tmpl
+++ b/templates/repo/cloudbrain/benchmark/new.tmpl
@@ -134,7 +134,7 @@
{{else}}
-