Class RaySpec (1.33.1)

Version 1.33.1

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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(e.g. tensorflow or Pytorch) by choosing from Vertex prebuild images(https://cloud.google.com/vertex-ai/docs/training/pre-built-containers). Either this or the resource_pool_images is required. Use this field if you need all the resource pools to have the same Ray image, Otherwise, use the {@code resource_pool_images} field.
resource_pool_images	MutableMapping[str, str] Optional. Required if image_uri is not 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 is not set.

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, .Message] 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 mapping is a mapping type or there are keyword parameters.