#3448

gcu:internationalization

options/locale/locale_en-US.ini

@@ -1099,8 +1099,8 @@ image_delete_fail=Failed to delete image, please try again later.
 image_overwrite=You had submitted the same name image before, are you sure to overwrite the original image?
 download=Download
 score=Score
-wait_count_start = Your current queue position is 
-wait_count_end = 
+wait_count_start = Your current queue position is
+wait_count_end =
 file_limit_100 = Display up to 100 files or folders in a single directory
 images.name = Image Tag
 images.name_placerholder = Please enter the image name
@@ -1360,6 +1360,7 @@ modelconvert.inputshapeerror=Format input error, please input such as: 1,1,32,32
 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 in the task does not exist or has been deleted.
+modelconvert.manage.model_not_exist=The model file in the task does not exist or has been deleted.
 modelconvert.manage.no_operate_right=You have no right to do the operation.
 
 debug.manage.model_not_exist=The model in the task does not exist or has been deleted, please create a new debug job.
@@ -3322,6 +3323,7 @@ Stopped_success_update_status_fail=Succeed in stopping th job, but failed to upd
 load_code_failed=Fail to load code, please check if the right branch is selected.
 
 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
 new_debug_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 <strong style="color:#010101">%s</strong>, and please put your model into <strong style="color:#010101">%s</strong> then you can download it online
 new_debug_gpu_tooltips1 = 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 <strong style="color:#010101">%s</strong>.

options/locale/locale_zh-CN.ini

@@ -1085,7 +1085,7 @@ delete=删除
 more=更多
 gpu_type_all=全部
 model_download=结果下载
-all_result_download=全部结果下载 
+all_result_download=全部结果下载
 submit_image=提交镜像
 modify_image=修改镜像
 image_exist=镜像Tag已被使用，请修改镜像Tag。
@@ -1374,6 +1374,7 @@ modelconvert.modelfileempty=请选择模型文件。
 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=任务中选择的模型不存在或者已被删除。
+modelconvert.manage.model_file_not_exist=任务中选择的模型文件不存在或者已被删除。
 modelconvert.manage.no_operate_right=您没有操作权限。
 
 
@@ -3344,6 +3345,7 @@ 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.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存在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。
 new_debug_gpu_tooltips = 项目代码存储在 <strong style="color:#010101">%s</strong> 中，数据集存储在 <strong style="color:#010101">%s</strong> 中，选择的模型存储在 <strong style="color:#010101">%s</strong> 中，调试输出请存储在 <strong style="color:#010101">%s</strong> 中以供后续下载。
 new_debug_gpu_tooltips1 = 项目代码存储在 <strong style="color:#010101">%s</strong> 中，数据集存储在 <strong style="color:#010101">%s</strong> 中，选择的模型存储在 <strong style="color:#010101">%s</strong> 中。