Interface RaySpecOrBuilder (3.38.0)

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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
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
TypeDescription
RayMetricSpecOrBuilder

getResourcePoolImages() (deprecated)

public abstract Map<String,String> getResourcePoolImages()
Returns
TypeDescription
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
TypeDescription
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
TypeDescription
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
NameDescription
keyString
defaultValueString
Returns
TypeDescription
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
NameDescription
keyString
Returns
TypeDescription
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
TypeDescription
boolean

Whether the rayMetricSpec field is set.