Copies an already existing Vertex AI Model into the specified Location. The source Model must exist in the same Project. When copying custom Models, the users themselves are responsible for Model.metadata
content to be region-agnostic, as well as making sure that any resources (e.g. files) it depends on remain accessible.
HTTP request
POST https://{service-endpoint}/v1beta1/{parent}/models:copy
Where {service-endpoint}
is one of the supported service endpoints.
Path parameters
Parameters | |
---|---|
parent |
Required. The resource name of the Location into which to copy the Model. Format: |
Request body
The request body contains data with the following structure:
JSON representation |
---|
{ "sourceModel": string, "encryptionSpec": { object ( |
Fields | |
---|---|
sourceModel |
Required. The resource name of the Model to copy. That Model must be in the same Project. Format: |
encryptionSpec |
Customer-managed encryption key options. If this is set, then the Model copy will be encrypted with the provided encryption key. |
Union field destination_model . If both fields are unset, a new Model will be created with a generated ID. destination_model can be only one of the following: |
|
modelId |
Optional. Copy sourceModel into a new Model with this id. The id will become the final component of the model resource name. This value may be up to 63 characters, and valid characters are |
parentModel |
Optional. Specify this field to copy sourceModel into this existing Model as a new version. Format: |
Response body
If successful, the response body contains an instance of Operation
.
Authorization scopes
Requires the following OAuth scope:
https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview.
IAM Permissions
Requires the following IAM permission on the parent
resource:
aiplatform.models.upload
For more information, see the IAM documentation.