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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
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > RaySpec.BuilderImplements
RaySpecOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public RaySpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
build()
public RaySpec build()
Returns | |
---|---|
Type | Description |
RaySpec |
buildPartial()
public RaySpec buildPartial()
Returns | |
---|---|
Type | Description |
RaySpec |
clear()
public RaySpec.Builder clear()
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
clearField(Descriptors.FieldDescriptor field)
public RaySpec.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field | FieldDescriptor |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
clearImageUri()
public RaySpec.Builder clearImageUri()
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.
string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
RaySpec.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public RaySpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof | OneofDescriptor |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
clone()
public RaySpec.Builder clone()
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
getDefaultInstanceForType()
public RaySpec getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
RaySpec |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getImageUri()
public String getImageUri()
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.
string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
String | The imageUri. |
getImageUriBytes()
public ByteString getImageUriBytes()
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.
string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];
Returns | |
---|---|
Type | Description |
ByteString | The bytes for imageUri. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(RaySpec other)
public RaySpec.Builder mergeFrom(RaySpec other)
Parameter | |
---|---|
Name | Description |
other | RaySpec |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public RaySpec.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public RaySpec.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other | Message |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final RaySpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public RaySpec.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
setImageUri(String value)
public RaySpec.Builder setImageUri(String value)
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.
string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | String The imageUri to set. |
Returns | |
---|---|
Type | Description |
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(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.
string image_uri = 1 [(.google.api.field_behavior) = OPTIONAL];
Parameter | |
---|---|
Name | Description |
value | ByteString The bytes for imageUri to set. |
Returns | |
---|---|
Type | Description |
RaySpec.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public RaySpec.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final RaySpec.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
RaySpec.Builder |