Package viam.app.mltraining.v1

Class MlTraining.ListSupportedContainersResponse

java.lang.Object

com.google.protobuf.AbstractMessageLite<MessageType,BuilderType>

com.google.protobuf.GeneratedMessageLite<MlTraining.ListSupportedContainersResponse,MlTraining.ListSupportedContainersResponse.Builder>

viam.app.mltraining.v1.MlTraining.ListSupportedContainersResponse

All Implemented Interfaces:

com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, MlTraining.ListSupportedContainersResponseOrBuilder

Enclosing class:

MlTraining

public static final class MlTraining.ListSupportedContainersResponse
extends com.google.protobuf.GeneratedMessageLite<MlTraining.ListSupportedContainersResponse,MlTraining.ListSupportedContainersResponse.Builder>
implements MlTraining.ListSupportedContainersResponseOrBuilder

Protobuf type viam.app.mltraining.v1.ListSupportedContainersResponse

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	MlTraining.ListSupportedContainersResponse.Builder	Protobuf type viam.app.mltraining.v1.ListSupportedContainersResponse

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageLite

com.google.protobuf.GeneratedMessageLite.DefaultInstanceBasedParser<T extends com.google.protobuf.GeneratedMessageLite<T,?>>, com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageLite.ExtendableMessage<MessageType,BuilderType>,BuilderType extends com.google.protobuf.GeneratedMessageLite.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageLite.GeneratedExtension<ContainingType extends com.google.protobuf.MessageLite,Type extends Object>, com.google.protobuf.GeneratedMessageLite.MethodToInvoke, com.google.protobuf.GeneratedMessageLite.SerializedForm

Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field	Description
static final int	CONTAINER_MAP_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageLite

unknownFields

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method	Description
boolean	containsContainerMap(String key)	ex value: container_map: { "tf:2.15": Container { key: "tf:2.15" uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest" description: "Tensorflow 2.15" eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z } }
protected final Object	dynamicMethod(com.google.protobuf.GeneratedMessageLite.MethodToInvoke method, Object arg0, Object arg1)
Map<String,MlTraining.Container>	getContainerMap()	Deprecated.
int	getContainerMapCount()	ex value: container_map: { "tf:2.15": Container { key: "tf:2.15" uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest" description: "Tensorflow 2.15" eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z } }
Map<String,MlTraining.Container>	getContainerMapMap()	ex value: container_map: { "tf:2.15": Container { key: "tf:2.15" uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest" description: "Tensorflow 2.15" eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z } }
MlTraining.Container	getContainerMapOrDefault(String key, MlTraining.Container defaultValue)	ex value: container_map: { "tf:2.15": Container { key: "tf:2.15" uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest" description: "Tensorflow 2.15" eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z } }
MlTraining.Container	getContainerMapOrThrow(String key)	ex value: container_map: { "tf:2.15": Container { key: "tf:2.15" uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest" description: "Tensorflow 2.15" eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z } }
static MlTraining.ListSupportedContainersResponse	getDefaultInstance()
static MlTraining.ListSupportedContainersResponse.Builder	newBuilder()
static MlTraining.ListSupportedContainersResponse.Builder	newBuilder(MlTraining.ListSupportedContainersResponse prototype)
static MlTraining.ListSupportedContainersResponse	parseDelimitedFrom(InputStream input)
static MlTraining.ListSupportedContainersResponse	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static MlTraining.ListSupportedContainersResponse	parseFrom(byte[] data)
static MlTraining.ListSupportedContainersResponse	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static MlTraining.ListSupportedContainersResponse	parseFrom(com.google.protobuf.ByteString data)
static MlTraining.ListSupportedContainersResponse	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static MlTraining.ListSupportedContainersResponse	parseFrom(com.google.protobuf.CodedInputStream input)
static MlTraining.ListSupportedContainersResponse	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static MlTraining.ListSupportedContainersResponse	parseFrom(InputStream input)
static MlTraining.ListSupportedContainersResponse	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static MlTraining.ListSupportedContainersResponse	parseFrom(ByteBuffer data)
static MlTraining.ListSupportedContainersResponse	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<MlTraining.ListSupportedContainersResponse>	parser()

Methods inherited from class com.google.protobuf.GeneratedMessageLite

createBuilder, createBuilder, dynamicMethod, dynamicMethod, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, emptyProtobufList, equals, getDefaultInstanceForType, getParserForType, getSerializedSize, hashCode, isInitialized, isInitialized, makeImmutable, mergeLengthDelimitedField, mergeUnknownFields, mergeVarintField, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBuilderForType, newMessageInfo, newRepeatedGeneratedExtension, newSingularGeneratedExtension, parseDelimitedFrom, parseDelimitedFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parseFrom, parsePartialFrom, parseUnknownField, registerDefaultInstance, toBuilder, toString, writeTo

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

getDefaultInstanceForType, isInitialized

Field Details

CONTAINER_MAP_FIELD_NUMBER

public static final int CONTAINER_MAP_FIELD_NUMBER

See Also:

• Constant Field Values

Method Details

getContainerMapCount

public int getContainerMapCount()

Description copied from interface: MlTraining.ListSupportedContainersResponseOrBuilder

 ex value:
 container_map: {
 "tf:2.15": Container {
 key: "tf:2.15"
 uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest"
 description: "Tensorflow 2.15"
 eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z
 }
 }
 

map<string, .viam.app.mltraining.v1.Container> container_map = 1 [json_name = "containerMap"];

Specified by:

getContainerMapCount in interface MlTraining.ListSupportedContainersResponseOrBuilder

containsContainerMap

public boolean containsContainerMap(String key)

 ex value:
 container_map: {
 "tf:2.15": Container {
 key: "tf:2.15"
 uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest"
 description: "Tensorflow 2.15"
 eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z
 }
 }
 

map<string, .viam.app.mltraining.v1.Container> container_map = 1 [json_name = "containerMap"];

Specified by:

containsContainerMap in interface MlTraining.ListSupportedContainersResponseOrBuilder

getContainerMap

@Deprecated
public Map<String,MlTraining.Container> getContainerMap()

Deprecated.

Use getContainerMapMap() instead.

Specified by:

getContainerMap in interface MlTraining.ListSupportedContainersResponseOrBuilder

getContainerMapMap

public Map<String,MlTraining.Container> getContainerMapMap()

 ex value:
 container_map: {
 "tf:2.15": Container {
 key: "tf:2.15"
 uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest"
 description: "Tensorflow 2.15"
 eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z
 }
 }
 

map<string, .viam.app.mltraining.v1.Container> container_map = 1 [json_name = "containerMap"];

Specified by:

getContainerMapMap in interface MlTraining.ListSupportedContainersResponseOrBuilder

getContainerMapOrDefault

public MlTraining.Container getContainerMapOrDefault(String key,
 MlTraining.Container defaultValue)

 ex value:
 container_map: {
 "tf:2.15": Container {
 key: "tf:2.15"
 uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest"
 description: "Tensorflow 2.15"
 eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z
 }
 }
 

map<string, .viam.app.mltraining.v1.Container> container_map = 1 [json_name = "containerMap"];

Specified by:

getContainerMapOrDefault in interface MlTraining.ListSupportedContainersResponseOrBuilder

getContainerMapOrThrow

public MlTraining.Container getContainerMapOrThrow(String key)

 ex value:
 container_map: {
 "tf:2.15": Container {
 key: "tf:2.15"
 uri: "us-docker.pkg.dev/vertex-ai/training/tf-gpu.2-15.py310:latest"
 description: "Tensorflow 2.15"
 eol: { seconds: 1772630400, nanos: 0 } // 2026-03-03T00:00:00Z
 }
 }
 

map<string, .viam.app.mltraining.v1.Container> container_map = 1 [json_name = "containerMap"];

Specified by:

getContainerMapOrThrow in interface MlTraining.ListSupportedContainersResponseOrBuilder

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(ByteBuffer data)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(ByteBuffer data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(com.google.protobuf.ByteString data)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(com.google.protobuf.ByteString data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(byte[] data)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(byte[] data,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                            throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(InputStream input)
                                                            throws IOException

Throws:

IOException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(InputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                            throws IOException

Throws:

IOException

parseDelimitedFrom

public static MlTraining.ListSupportedContainersResponse parseDelimitedFrom(InputStream input)
                                                                     throws IOException

Throws:

IOException

parseDelimitedFrom

public static MlTraining.ListSupportedContainersResponse parseDelimitedFrom(InputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                     throws IOException

Throws:

IOException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(com.google.protobuf.CodedInputStream input)
                                                            throws IOException

Throws:

IOException

parseFrom

public static MlTraining.ListSupportedContainersResponse parseFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                            throws IOException

Throws:

IOException

newBuilder

public static MlTraining.ListSupportedContainersResponse.Builder newBuilder()

newBuilder

public static MlTraining.ListSupportedContainersResponse.Builder newBuilder(MlTraining.ListSupportedContainersResponse prototype)

dynamicMethod

protected final Object dynamicMethod(com.google.protobuf.GeneratedMessageLite.MethodToInvoke method,
 Object arg0,
 Object arg1)

Specified by:

dynamicMethod in class com.google.protobuf.GeneratedMessageLite<MlTraining.ListSupportedContainersResponse,MlTraining.ListSupportedContainersResponse.Builder>

getDefaultInstance

public static MlTraining.ListSupportedContainersResponse getDefaultInstance()

parser

public static com.google.protobuf.Parser<MlTraining.ListSupportedContainersResponse> parser()