GCP AI平台顶点端点模型undeploy：404带有ID`2367889687867的部署模式

发布于 2025-02-07 04:41:09 字数 774 浏览 1 评论 0原文

我正在尝试从端点上解开模型，以下此文档。

Endpoint.undeploy(deployed_model_id=model_id)

我什至尝试过。同样的问题也是如此。

获取404错误

缺少具有ID 2367889687867的部署模型。

信息：

模型和端点都在同一区域。
在端点中有一个单个模型，cropart_percentage = 100。

原文

I am trying to un-deploy model from an endpoint following this documentation.

Endpoint.undeploy(deployed_model_id=model_id)

I even tried google api. Same Issue with this as well.

Getting 404 error

The Deployed Model with ID 2367889687867 is missing.

INFO:

Both model and Endpoint are in same region.
There is a single model deployed in the endpoint with traffic_percentage=100.

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负佳期 2025-02-14 04:41:09

deployed_model_id不同于model_id。这就是为什么您遇到错误404的原因，它正在搜索不相同的东西。

使用list_models（）为您提供所有已部署的模型ID的列表，而使用list（），则可以获取depareed_model_id by：

您可以使用
list（）

list_models（）list（）list（）只带一个，您可以添加过滤器，例如display_name，model_id，region等

list(
    filter= ‘display_name= “display_name”’,
)

。 >使用云SDK deployed_model_id 。

gcloud ai models list --region=$REGION --filter="DISPLAY_NAME: $NAME" | grep "MODEL_ID" | cut -f2 -d: | sed 's/\s//'

此外，您可以指定deployed_model_id使用云SDK部署模型时命令应该看起来像：

gcloud ai endpoints deploy-model $endpoint --project=$project --region=$region --model=$model_id --display-name=$model_name --deployed-model-id=$deployed_model_id

当您部署诸如端点，项目，区域，区域，模型之类的模型时，需要一些标志和显示名称。还有其他可选标志您可以使用deployed_model_id是其中之一（我不知道这是可能的，但您是否可以设置Deployed_model_id与model_id相同。

The deployed_model_id is different from the model_id.That’s why you are getting the Error 404, it is searching for something that is not the same.

You can get the deployed_model_id by:

list_models()
list()

Using list_models() brings you a list of all the deployed models ids, while using list() only brings one, you can add filters such as display_name, model_id, region, etc.

list(
    filter= ‘display_name= “display_name”’,
)

You also can get the deployed_model_id using the Cloud SDK.

gcloud ai models list --region=$REGION --filter="DISPLAY_NAME: $NAME" | grep "MODEL_ID" | cut -f2 -d: | sed 's/\s//'

Additionally, you can specify the deployed_model_id when you are deploying your model using Cloud SDK the command should look like:

gcloud ai endpoints deploy-model $endpoint --project=$project --region=$region --model=$model_id --display-name=$model_name --deployed-model-id=$deployed_model_id

There are some flags that are required when you deploy a model such as endpoint, project, region, model and display name. And there are others that are optional flags that you can use deployed_model_id is one of them.(I don’t know if this is possible but you could set the deployed_model_id as the same as the model_id).

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