Interface RaySpecOrBuilder (3.45.0)

Version 3.45.0

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public interface RaySpecOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

containsResourcePoolImages(String key)

public abstract boolean containsResourcePoolImages(String key)

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" }

map<string, string> resource_pool_images = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getHeadNodeResourcePoolId()

public abstract String getHeadNodeResourcePoolId()

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.

string head_node_resource_pool_id = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The headNodeResourcePoolId.

getHeadNodeResourcePoolIdBytes()

public abstract ByteString getHeadNodeResourcePoolIdBytes()

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.

string head_node_resource_pool_id = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for headNodeResourcePoolId.

getImageUri()

public abstract String getImageUri()

Optional. Default image for user to choose a preferred ML framework (for example, TensorFlow or Pytorch) by choosing from Vertex prebuilt images. 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.

string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The imageUri.

getImageUriBytes()

public abstract ByteString getImageUriBytes()

Optional. Default image for user to choose a preferred ML framework (for example, TensorFlow or Pytorch) by choosing from Vertex prebuilt images. 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.

string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for imageUri.

getRayMetricSpec()

public abstract RayMetricSpec getRayMetricSpec()

Optional. Ray metrics configurations.

.google.cloud.aiplatform.v1beta1.RayMetricSpec ray_metric_spec = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RayMetricSpec	The rayMetricSpec.

getRayMetricSpecOrBuilder()

public abstract RayMetricSpecOrBuilder getRayMetricSpecOrBuilder()

Optional. Ray metrics configurations.

.google.cloud.aiplatform.v1beta1.RayMetricSpec ray_metric_spec = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RayMetricSpecOrBuilder

getResourcePoolImages() (deprecated)

public abstract Map<String,String> getResourcePoolImages()

Use #getResourcePoolImagesMap() instead.

Returns
Type	Description
Map<String,String>

getResourcePoolImagesCount()

public abstract int getResourcePoolImagesCount()

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" }

map<string, string> resource_pool_images = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int

getResourcePoolImagesMap()

public abstract Map<String,String> getResourcePoolImagesMap()

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" }

map<string, string> resource_pool_images = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
Map<String,String>

getResourcePoolImagesOrDefault(String key, String defaultValue)

public abstract String getResourcePoolImagesOrDefault(String key, String defaultValue)

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" }

map<string, string> resource_pool_images = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
key	String
defaultValue	String

Returns
Type	Description
String

getResourcePoolImagesOrThrow(String key)

public abstract String getResourcePoolImagesOrThrow(String key)

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" }

map<string, string> resource_pool_images = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
key	String

Returns
Type	Description
String

hasRayMetricSpec()

public abstract boolean hasRayMetricSpec()

Optional. Ray metrics configurations.

.google.cloud.aiplatform.v1beta1.RayMetricSpec ray_metric_spec = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the rayMetricSpec field is set.