Where("(((end_time is null or end_time=0) and updated_unix<? and updated_unix != 0 ) or (end_time<? and end_time != 0)) and cleared=false and job_type != 'DEBUG' and (type=0 or (type=2 and compute_resource='CPU/GPU'))", missEndTimeBefore, endTimeBefore).
Where("(((end_time is null or end_time=0) and updated_unix<? and updated_unix != 0 ) or (end_time<? and end_time != 0)) and cleared=false and job_type != 'DEBUG' and (type=0 or type=2)", missEndTimeBefore, endTimeBefore).
Where("updated_unix<? and updated_unix != 0 and cleared=false and job_type != 'DEBUG' and (type=1 or (type =2 and compute_resource='NPU'))", endTimeBefore).
Where("updated_unix<? and updated_unix != 0 and cleared=false and job_type != 'DEBUG' and type=1", endTimeBefore).
where status in ('STOPPED','SUCCEEDED','FAILED') and (((end_time is null or end_time=0) and updated_unix<? and updated_unix != 0 ) or (end_time<? and end_time != 0)) and (type=0 or (type =2 and compute_resource='CPU/GPU')) and cleared=false`
where status in ('STOPPED','SUCCEEDED','FAILED') and (((end_time is null or end_time=0) and updated_unix<? and updated_unix != 0 ) or (end_time<? and end_time != 0)) and (type=0 or type =2 ) and cleared=false`
where status in ('STOPPED','SUCCEEDED','FAILED') and updated_unix<? and updated_unix != 0 and (type=1 or (type =2 and compute_resource='NPU')) and cleared=false`
where status in ('STOPPED','SUCCEEDED','FAILED') and updated_unix<? and updated_unix != 0 and type=1 and cleared=false`
//(type=0 or (type =2 and compute_resource='CPU/GPU')) and
protocol_header=Please read the following content carefully:
protocol_title=Dear OpenI User
protocol_context=Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you check and agree, you can continue to use our services. Thank you for your cooperation and understanding.
protocol_context_sub=For more agreement content, please refer to the<u><font color="# 3291f8"><a href="/home/term" target="_blank">《Openl Qizhi Community AI Collaboration Platform Usage Agreement》</a></font></u>
protocol_confirm=Agree and continue
protocol_cancel=Disagree, exit
protocol_update=Reading protocol updates
[phone]
format_err=The format of phone number is wrong.
query_err=Fail to query phone number, please try again later.
category.natural_language_processing= natural language processing
category.speech_processing= speech processing
category.computer_vision_natural_language_processing= computer vision and natural language processing
category.medical_imaging = medical imaging
attachment.delete= Delete this version of dataset
attachment.delete_desc= Are you sure you will delete this version of dataset, once deleted can not be recovery
public= public
@@ -1300,7 +1307,7 @@ cloudbrain.morethanonejob2=You can view all your Cloud Brain tasks in <a href="/
modelarts.online_infer = Online Inference
modelarts.infer_job_model = Model
modelarts.infer_job_model_file = Model File
modelarts.infer_job = Inference Job
modelarts.infer_job = Inference Task
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.
sameTaskTips1: 'You have created an <span>equivalent task</span> that is waiting or running, please wait for the task to finish before creating it.',
sameTaskTips2: 'You can view all your Cloud Brain tasks in <a href="/cloudbrains" target="_blank"> Home > Cloudbrain Task </a>.',
pathTips1: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online',
pathTips11: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online',
pathTips2: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online',
pathTips1: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips11: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips2: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips3: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>.',
pathTips4: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online',
pathTips4: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips5: 'The dataset is stored in <strong style="color:#010101">{dataset}</strong>, the model file is stored in <strong style="color:#010101">{model}</strong>, please store the inference output in <strong style="color:#010101">{output}</strong> for subsequent downloads.',
pathTips6: 'The dataset location is stored in the run parameter <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and the output path is stored in the run parameter <strong style="color:#010101">{output}</strong>.',
pathTips66: 'The dataset location is stored in the run parameter <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips7: 'The dataset location is stored in the run parameter <strong style="color:#010101">{dataset}</strong>, the model file is stored in the run parameter <strong style="color:#010101">{model}</strong>, and the inference output path is stored in the run parameter <strong style="color:#010101">{output}</strong>.',
pathTips71: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the model file is storaged in the <strong style="color:#010101">{model}</strong>, and please put your inference output into <strong style="color:#010101">{output}</strong> then you can download it online.',
basicInfo: 'Basic Info',
paramsSetting: 'Parameter setting',
taskPrepareTips: 'The task is currently being prepared. Drink a glass of water and come back to take a look~',
@@ -631,18 +634,21 @@ const en = {
debugTaskEmptyTitle: 'Debug task has not been created',
debugTaskEmptyTip0: 'Code version: You have not initialized the code repository, please <a href="{url}">initialized</a> first;',
debugTaskEmptyTip1: 'Running time: no more than 4 hours, it will automatically stop if it exceeds 4 hours;',
debugTaskEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU.And dataset also needs to be uploaded to the corresponding environment;',
debugTaskEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU.And dataset also needs to be uploaded to the corresponding environment;',
debugTaskEmptyTip3: 'Instructions for use: You can refer to the OpenI AI collaboration platform<a href="{url}"> Help Center </a>.',
onlineInferTaskEmptyTitle: 'Online Inference task has not been created',
onlineInferEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU.And dataset also needs to be uploaded to the corresponding environment;',
onlineInferEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU.And dataset also needs to be uploaded to the corresponding environment;',
superTaskEmptyTitle: 'HPC task has not been created',
deleteConfirmTips: 'Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.',
deletingTips: 'Task deletion in progress, please wait',
tabTitDebug: 'Debug Task',
tabTitTrain: 'Train Task',
tabTitInference: 'Inference Job',
tabTitInference: 'Inference Task',
tabTitBenchmark: 'Model Evaluation',
trainTaskEmptyTitle: 'Train task has not been created',
trainTaskEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU. And dataset also needs to be uploaded to the corresponding environment;',
inferenceTaskEmptyTitle: 'Inference task has not been created',
inferenceTaskEmptyTip2: 'Dataset: Cloud Brain 1 provides CPU/GPU,Cloud Brain 2 provides Ascend NPU. And dataset also needs to be uploaded to the corresponding environment;',
bootFileTips: 'The startup file is the entry file that your program executes, and it must be a file ending in .py',
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.