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RaySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Configuration information for the Ray cluster. For experimental launch, Ray cluster creation and Persistent cluster creation are 1:1 mapping: We will provision all the nodes within the Persistent cluster as Ray nodes.
Attributes |
|
---|---|
Name | Description |
image_uri |
str
Optional. Default image for user to choose a preferred ML framework (for example, TensorFlow or Pytorch) by choosing from `Vertex prebuilt images |
resource_pool_images |
MutableMapping[str, str]
Optional. Required if image_uri isn't set. A map of resource_pool_id to prebuild Ray image if user need to use different images for different head/worker pools. This map needs to cover all the resource pool ids. Example: { "ray_head_node_pool": "head image" "ray_worker_node_pool1": "worker image" "ray_worker_node_pool2": "another worker image" } |
head_node_resource_pool_id |
str
Optional. This will be used to indicate which resource pool will serve as the Ray head node(the first node within that pool). Will use the machine from the first workerpool as the head node by default if this field isn't set. |
ray_metric_spec |
google.cloud.aiplatform_v1beta1.types.RayMetricSpec
Optional. Ray metrics configurations. |
Classes
ResourcePoolImagesEntry
ResourcePoolImagesEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)
The abstract base class for a message.
Parameters | |
---|---|
Name | Description |
kwargs |
dict
Keys and values corresponding to the fields of the message. |
mapping |
Union[dict,
A dictionary or message to be used to determine the values for this message. |
ignore_unknown_fields |
Optional(bool)
If True, do not raise errors for unknown fields. Only applied if |
Methods
RaySpec
RaySpec(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Configuration information for the Ray cluster. For experimental launch, Ray cluster creation and Persistent cluster creation are 1:1 mapping: We will provision all the nodes within the Persistent cluster as Ray nodes.