Class RaySpec.Builder (3.38.0)

public static final class RaySpec.Builder extends GeneratedMessageV3.Builder<RaySpec.Builder> implements RaySpecOrBuilder

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.

Protobuf type google.cloud.aiplatform.v1beta1.RaySpec

Implements

RaySpecOrBuilder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public RaySpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
RaySpec.Builder
Overrides

build()

public RaySpec build()
Returns
TypeDescription
RaySpec

buildPartial()

public RaySpec buildPartial()
Returns
TypeDescription
RaySpec

clear()

public RaySpec.Builder clear()
Returns
TypeDescription
RaySpec.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public RaySpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
RaySpec.Builder
Overrides

clearHeadNodeResourcePoolId()

public RaySpec.Builder clearHeadNodeResourcePoolId()

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
RaySpec.Builder

This builder for chaining.

clearImageUri()

public RaySpec.Builder clearImageUri()

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
RaySpec.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public RaySpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
RaySpec.Builder
Overrides

clearRayMetricSpec()

public RaySpec.Builder clearRayMetricSpec()

Optional. Ray metrics configurations.

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

Returns
TypeDescription
RaySpec.Builder

clearResourcePoolImages()

public RaySpec.Builder clearResourcePoolImages()
Returns
TypeDescription
RaySpec.Builder

clone()

public RaySpec.Builder clone()
Returns
TypeDescription
RaySpec.Builder
Overrides

containsResourcePoolImages(String key)

public 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

getDefaultInstanceForType()

public RaySpec getDefaultInstanceForType()
Returns
TypeDescription
RaySpec

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getHeadNodeResourcePoolId()

public 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 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 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 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.

getMutableResourcePoolImages() (deprecated)

public Map<String,String> getMutableResourcePoolImages()

Use alternate mutation accessors instead.

Returns
TypeDescription
Map<String,String>

getRayMetricSpec()

public 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.

getRayMetricSpecBuilder()

public RayMetricSpec.Builder getRayMetricSpecBuilder()

Optional. Ray metrics configurations.

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

Returns
TypeDescription
RayMetricSpec.Builder

getRayMetricSpecOrBuilder()

public 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 Map<String,String> getResourcePoolImages()
Returns
TypeDescription
Map<String,String>

getResourcePoolImagesCount()

public 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 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 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 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 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.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
NameDescription
numberint
Returns
TypeDescription
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(RaySpec other)

public RaySpec.Builder mergeFrom(RaySpec other)
Parameter
NameDescription
otherRaySpec
Returns
TypeDescription
RaySpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public RaySpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RaySpec.Builder
Overrides
Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public RaySpec.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
RaySpec.Builder
Overrides

mergeRayMetricSpec(RayMetricSpec value)

public RaySpec.Builder mergeRayMetricSpec(RayMetricSpec value)

Optional. Ray metrics configurations.

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

Parameter
NameDescription
valueRayMetricSpec
Returns
TypeDescription
RaySpec.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final RaySpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
RaySpec.Builder
Overrides

putAllResourcePoolImages(Map<String,String> values)

public RaySpec.Builder putAllResourcePoolImages(Map<String,String> values)

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
valuesMap<String,String>
Returns
TypeDescription
RaySpec.Builder

putResourcePoolImages(String key, String value)

public RaySpec.Builder putResourcePoolImages(String key, String value)

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
valueString
Returns
TypeDescription
RaySpec.Builder

removeResourcePoolImages(String key)

public RaySpec.Builder removeResourcePoolImages(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
RaySpec.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public RaySpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
RaySpec.Builder
Overrides

setHeadNodeResourcePoolId(String value)

public RaySpec.Builder setHeadNodeResourcePoolId(String value)

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];

Parameter
NameDescription
valueString

The headNodeResourcePoolId to set.

Returns
TypeDescription
RaySpec.Builder

This builder for chaining.

setHeadNodeResourcePoolIdBytes(ByteString value)

public RaySpec.Builder setHeadNodeResourcePoolIdBytes(ByteString value)

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];

Parameter
NameDescription
valueByteString

The bytes for headNodeResourcePoolId to set.

Returns
TypeDescription
RaySpec.Builder

This builder for chaining.

setImageUri(String value)

public RaySpec.Builder setImageUri(String value)

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];

Parameter
NameDescription
valueString

The imageUri to set.

Returns
TypeDescription
RaySpec.Builder

This builder for chaining.

setImageUriBytes(ByteString value)

public RaySpec.Builder setImageUriBytes(ByteString value)

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];

Parameter
NameDescription
valueByteString

The bytes for imageUri to set.

Returns
TypeDescription
RaySpec.Builder

This builder for chaining.

setRayMetricSpec(RayMetricSpec value)

public RaySpec.Builder setRayMetricSpec(RayMetricSpec value)

Optional. Ray metrics configurations.

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

Parameter
NameDescription
valueRayMetricSpec
Returns
TypeDescription
RaySpec.Builder

setRayMetricSpec(RayMetricSpec.Builder builderForValue)

public RaySpec.Builder setRayMetricSpec(RayMetricSpec.Builder builderForValue)

Optional. Ray metrics configurations.

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

Parameter
NameDescription
builderForValueRayMetricSpec.Builder
Returns
TypeDescription
RaySpec.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public RaySpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
RaySpec.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final RaySpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
RaySpec.Builder
Overrides