@@ -1300,7 +1300,7 @@ 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 +633,21 @@ 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',
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