`Model.deploy()` AutoML 失败，`400 'automatic_resources' 不支持模型`

Question

尝试使用 python SDK 部署 AutoML 模型，但收到错误

google.api_core.exceptions.InvalidArgument: 400 'automatic_resources' is not supported for Model

这就是我运行:

from google.cloud import aiplatform

aiplatform.init(project="MY_PROJECT")

# model is an AutoML tabular model
model = aiplatform.Model("MY_MODEL_ID")

# this fails
model.deploy()

Answer 1

您遇到 automatic_resources 是因为为 AutoML Tables 部署模型需要用户在模型部署时定义机器类型。有关详细信息，请参阅 configure compute resources for prediction docs。

If you want to use a custom-trained model or an AutoML tabular model to serve online predictions, you must specify a machine type when you deploy the Model resource as a DeployedModel to an Endpoint.

您应该在代码中添加资源定义，以便继续部署。添加 machine_type 参数就足够了。有关完整列表，请参阅 supported machine types docs。

查看下面的代码：

from google.cloud import aiplatform

project = "your-project-id"
location = "us-central1"
model_id = "99999999"

aiplatform.init(project=project, location=location)
model_name = (f"projects/{project}/locations/{location}/models/{model_id}")

model = aiplatform.Model(model_name=model_name)

model.deploy(machine_type="n1-standard-4")

model.wait()
print(model.display_name)

输出：

`Model.deploy()` AutoML 失败，`400 'automatic_resources' 不支持模型`

`Model.deploy()` failing for AutoML with `400 'automatic_resources' is not supported for Model`

python

google-cloud-vertex-ai