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=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.
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
@@ -990,6 +990,7 @@ dataset_available_clusters = Available Clusters
dataset_upload_time = Upload Time
download = Download
modify_description = Modify Description
copy_code = Copy code
set_public = Set Public
set_private = Set Private
annotation = Image Annotation
@@ -1084,6 +1085,7 @@ language_other = Other
datasets = Datasets
datasets.desc = Enable Dataset
cloudbrain_helper=Use GPU/NPU resources to open notebooks, model training tasks, etc.
code_use_resource=How to access data resources in code
cloudbrain.exitinfo=Exit Information
cloudbrain.platform=Platform
cloudbrain.endtime=End Time
@@ -1151,7 +1153,7 @@ images.name_placerholder = Please enter the image name
images.descr_placerholder = The description should not exceed 1000 characters
image.label_tooltips = Example Python 3.7, Tensorflow 2.0, cuda 10, pytorch 1.6
images.public_tooltips = After the image is set to public, it can be seen by other users.
images.submit_tooltips = The code directory /code, dataset directory /dataset will not be submitted with the image, and other directories will be packaged into the image.
images.submit_tooltips = The code directory /tmp/code, dataset directory /tmp/dataset will not be submitted with the image, and other directories will be packaged into the image.
images.name_format_err=The format of image tag is wrong.
images.name_rule50 = Please enter letters, numbers, _ and - up to 50 characters and starts with a letter.
images.name_rule100 = Please enter letters, numbers, _ and - up to 100 characters and cannot end with a dash (-).
@@ -3491,15 +3493,17 @@ boot_file_must_python = The boot file must be a python file
stop_failed = Fail to stop the job, please try again later.
can_not_restart = The task was not scheduled successfully before, so it cannot be restart.
dataset_size_over_limit = The size of dataset exceeds limitation (%dGB)
model_size_over_limit = The size of model exceeds limitation (%dGB)
boot_file_must_python = The boot file must be a python file
boot_file_not_exist = The boot file is not exists.
branch_not_exists = The branch does not exist. Please refresh and select again.
dataset_number_over_limit = The dataset count exceed the limit
model_number_over_limit = The model count exceed the limit
result_cleared=The files of the task have been cleared, can not restart or retrain any more, please create a new task instead
model_not_exist=The model in the task does not exist or has been deleted
too_many_notebook=A user can have up to 5 debug tasks, please try again after delete some debug tasks.
can_not_stop_creating_job=AI task is creating, can not be stopped.
no_center_match=Can not match a AI center, please select other specification.
no_center_match=Can not match an AI center, please select other specification.
[common_error]
system_error = System error.Please try again later
@@ -38,4 +38,6 @@ var MODEL_NUM_OVER_LIMIT = &BizError{Code: 2021, DefaultMsg: "The number of mode
var DATASET_NUMBER_OVER_LIMIT = &BizError{Code: 2022, DefaultMsg: "The dataset count exceed the limit", TrCode: "ai_task.dataset_number_over_limit"}
var NOTEBOOK_EXCEED_MAX_NUM = &BizError{Code: 2023, DefaultMsg: "You can have up to 5 Debug Tasks, please try again after delete some tasks. ", TrCode: "ai_task.too_many_notebook"}
var CAN_NOT_STOP_CREATING_JOB = &BizError{Code: 2024, DefaultMsg: "AI task is creating, can not be stopped", TrCode: "ai_task.can_not_stop_creating_job"}
var NO_CENTER_MATCH = &BizError{Code: 2024, DefaultMsg: "", TrCode: "ai_task.no_center_match"}
var NO_CENTER_MATCH = &BizError{Code: 2024, DefaultMsg: "Can not match an AI center, please select other specification.", TrCode: "ai_task.no_center_match"}
var MODEL_NUMBER_OVER_LIMIT = &BizError{Code: 2025, DefaultMsg: "The model count exceed the limit", TrCode: "ai_task.model_number_over_limit"}
var MODEL_SIZE_OVER_LIMIT = &BizError{Code: 2026, DefaultMsg: "The size of model exceeds limitation", TrCode: "ai_task.model_size_over_limit"}
log.Info("CheckModels has model deleted.displayJobName=%s jobType=%s cluster=%s", ctx.Request.DisplayJobName, ctx.Request.JobType, ctx.Request.Cluster)
return response.MODEL_NOT_EXISTS
}
//check datasets size
var attachSize int64
for _, infos := range modelInfoMaps {
attachSize += infos.Size
}
limitSizeGB := ctx.Config.ModelLimitSizeGB
if limitSizeGB > 0 && attachSize > int64(limitSizeGB*1000*1000*1000) {
log.Error("The model size exceeds the limit (%dGB)", limitSizeGB) // GB
modelFileUploadDefaultTips: 'Click to add files or drag files here directly',
modelFileUploadErrTips: 'Up to 10 files can be uploaded at a time, and the total file size of the model does not exceed {size}GB',
@@ -316,6 +318,7 @@ const en = {
uploading: 'Uploading...',
fileHasAlreadyInTheModel: 'This file has already in the model: ',
fileEqualInTheModel: 'This file content is the same as other file: ',
fileExistInTheModel: 'This file content is the same as other file: ',
basicInfo: 'Basic information',
modelSize: 'Model size',
descr: 'Description',
@@ -429,22 +432,27 @@ const en = {
},
modelObj: {
model_label: 'Select Model',
model_select_placeholder: 'Please select model file',
model_select_placeholder: 'Please select model',
model_select: 'Select Model',
model_current_repo: 'Current repository',
model_my: 'My models',
model_public: 'Public models',
model_collected: 'My collection',
model_search_placeholder: 'Search model name...',
model_selected: 'Selected model file',
model_selected: 'Selected model',
model_ok: 'OK',
model_most: 'Up to {msg} files.',
model_most: 'Up to {msg} models.',
model_should_same_model: 'Select the files should in the same model.',
model_search: 'Search model',
model_square_empty: 'No Models',
model_suport_file_tips: 'The supported format of the model file is [ckpt, pb, h5, json, pkl, pth, t7, pdparams, onnx, pbtxt, keras, mlmodel, cfg, pt]',
boot_file_helper: 'The startup file is the entry file that your program executes, and it must be a file ending in .py',
can_online_infer: 'Online',
model_exceeds_failed: "Model size exceeds ",
model_sdk_use_way: 'Model SDK use way',
codeUseDlgTriggerTxt: 'How to use models in OpenI',
codeUseDlgTitle: 'How to use models on the OpenI',
model_not_equal_file: "Cannot select models with the same name.",
},
datasetObj: {
dataset_label: "Dataset",
@@ -464,6 +472,9 @@ const en = {
dataset_not_equal_file: "Cannot select a data file with the same name.",
dataset_most: "Up to {msg} files.",
dataset_file_was_deleted: "The file has been deleted",
dataset_sdk_use_way: 'Dataset SDK use way',
codeUseDlgTriggerTxt: 'How to use datasets in OpenI',
codeUseDlgTitle: 'How to use datasets on the OpenI',
},
specObj: {
resSelectTips: 'The "resource specification" is the hardware you use to run the task. In order for more people to use the resources of this platform, please select according to your actual needs',
@@ -527,7 +538,7 @@ const en = {
license: 'License',
publick_dataset: 'Public Dataset',
my_dataset: 'My dataset',
favorite_dataset: 'My favorite dataset'
favorite_dataset: 'My favorite dataset',
},
cloudbrainObj: {
cloudbrain: 'Cloudbrain',
@@ -570,6 +581,7 @@ const en = {
dataset: 'Dataset',
networkType: 'Access Internet',
allNetworkType: 'All network',
codeGenerate: 'Code Generate',
noInternet: 'No',
hasInternet: 'Yes',
networkTypeDesc: '「Access Internet」Describe whether the computing resource center supports internet access. When \'No\' is selected, more computing resource centers can be allocated, and the dataset and models on the OpenI platform can still be used.',
@@ -684,6 +696,7 @@ const en = {
scrollToBottom: 'Scroll to bottom',
migratingData: 'Data migration in progress',
centerPending: 'Queuing in sub centers',
sdkUseWay: 'c2net library usage',
dialogTips: {
tips1: "The platform does not directly provide external ports such as 7860 for external services, and can only use FastAPI to forward to the specified URL exposed to the outside world (environment variable can be obtained: os. getenv ('OPENI_GRADIO_URL ') to provide services.",
codeUseDlgTriggerTxt: 'How to access data resources in code',
codeUseDlgTitle: 'How to obtain models, datasets, and output paths in code via the c2net library',
sdkCodeTip1: 'Please use c2net library to access relevant resources in the container, which can be referred to as <a target="_blank" href="https://openi.pcl.ac.cn/docs/index.html#/cloudbrain/codepath">Help</a>.',
sdkCodeTip2: 'Based on the type of cloud brain task you choose, as well as the specified datasets, models, etc. The example code for accessing datasets and models and uploading training output are as follows:',
},
superComputeObj: {
mmlSparkDescr: `The full name of MMLSpark is Microsoft Machine Learning for Apache Spark, which enables users to run customized container images and grants them root accesses within the container. Users can directly use Microsoft's MMLSpark provided by the platform.\nNote: MMLSpark is a Spark version provided by Microsoft for machine learning environments（ <a target="_blank" href="https://github.com/Azure/mmlspark">https://github.com/Azure/mmlspark</a> ）Regarding mmlspark, please refer to the following paper: <a target="_blank" href="https://arxiv.org/pdf/1810.08744.pdf">https://arxiv.org/pdf/1810.08744.pdf</a>`,
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.
