org.tensorflow.framework

Class GPUOptions.Experimental

java.lang.Object

com.google.protobuf.AbstractMessageLite

com.google.protobuf.AbstractMessage

com.google.protobuf.GeneratedMessageV3

org.tensorflow.framework.GPUOptions.Experimental

All Implemented Interfaces:

com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.io.Serializable, GPUOptions.ExperimentalOrBuilder

Enclosing class:

GPUOptions

public static final class GPUOptions.Experimental
extends com.google.protobuf.GeneratedMessageV3
implements GPUOptions.ExperimentalOrBuilder

Protobuf type tensorflow.GPUOptions.Experimental

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	GPUOptions.Experimental.Builder Protobuf type tensorflow.GPUOptions.Experimental
static class	GPUOptions.Experimental.VirtualDevices Configuration for breaking down a visible GPU into multiple "virtual" devices.
static interface	GPUOptions.Experimental.VirtualDevicesOrBuilder

Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3

com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter

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

com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	COLLECTIVE_RING_ORDER_FIELD_NUMBER
static int	KERNEL_TRACKER_MAX_BYTES_FIELD_NUMBER
static int	KERNEL_TRACKER_MAX_INTERVAL_FIELD_NUMBER
static int	KERNEL_TRACKER_MAX_PENDING_FIELD_NUMBER
static int	NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER
static int	TIMESTAMPED_ALLOCATOR_FIELD_NUMBER
static int	USE_UNIFIED_MEMORY_FIELD_NUMBER
static int	VIRTUAL_DEVICES_FIELD_NUMBER

Fields inherited from class com.google.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class com.google.protobuf.AbstractMessage

memoizedSize

Fields inherited from class com.google.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
java.lang.String	getCollectiveRingOrder() If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
com.google.protobuf.ByteString	getCollectiveRingOrderBytes() If non-empty, defines a good GPU ring order on a single worker based on device interconnect.
static GPUOptions.Experimental	getDefaultInstance()
GPUOptions.Experimental	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
int	getKernelTrackerMaxBytes() If kernel_tracker_max_bytes = n > 0, then a tracking event is inserted after every series of kernels allocating a sum of memory >= n.
int	getKernelTrackerMaxInterval() Parameters for GPUKernelTracker.
int	getKernelTrackerMaxPending() If kernel_tracker_max_pending > 0 then no more than this many tracking events can be outstanding at a time.
int	getNumDevToDevCopyStreams() If > 1, the number of device-to-device copy streams to create for each GPUDevice.
com.google.protobuf.Parser<GPUOptions.Experimental>	getParserForType()
int	getSerializedSize()
boolean	getTimestampedAllocator() If true then extra work is done by GPUDevice and GPUBFCAllocator to keep track of when GPU memory is freed and when kernels actually complete so that we can know when a nominally free memory chunk is really not subject to pending use.
com.google.protobuf.UnknownFieldSet	getUnknownFields()
boolean	getUseUnifiedMemory() If true, uses CUDA unified memory for memory allocations.
GPUOptions.Experimental.VirtualDevices	getVirtualDevices(int index) The multi virtual device settings.
int	getVirtualDevicesCount() The multi virtual device settings.
java.util.List<GPUOptions.Experimental.VirtualDevices>	getVirtualDevicesList() The multi virtual device settings.
GPUOptions.Experimental.VirtualDevicesOrBuilder	getVirtualDevicesOrBuilder(int index) The multi virtual device settings.
java.util.List<? extends GPUOptions.Experimental.VirtualDevicesOrBuilder>	getVirtualDevicesOrBuilderList() The multi virtual device settings.
int	hashCode()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static GPUOptions.Experimental.Builder	newBuilder()
static GPUOptions.Experimental.Builder	newBuilder(GPUOptions.Experimental prototype)
GPUOptions.Experimental.Builder	newBuilderForType()
protected GPUOptions.Experimental.Builder	newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
protected java.lang.Object	newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static GPUOptions.Experimental	parseDelimitedFrom(java.io.InputStream input)
static GPUOptions.Experimental	parseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GPUOptions.Experimental	parseFrom(byte[] data)
static GPUOptions.Experimental	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GPUOptions.Experimental	parseFrom(java.nio.ByteBuffer data)
static GPUOptions.Experimental	parseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GPUOptions.Experimental	parseFrom(com.google.protobuf.ByteString data)
static GPUOptions.Experimental	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GPUOptions.Experimental	parseFrom(com.google.protobuf.CodedInputStream input)
static GPUOptions.Experimental	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static GPUOptions.Experimental	parseFrom(java.io.InputStream input)
static GPUOptions.Experimental	parseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static com.google.protobuf.Parser<GPUOptions.Experimental>	parser()
GPUOptions.Experimental.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Methods inherited from class com.google.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class com.google.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite

addAll, 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.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

VIRTUAL_DEVICES_FIELD_NUMBER

public static final int VIRTUAL_DEVICES_FIELD_NUMBER

See Also:

Constant Field Values

USE_UNIFIED_MEMORY_FIELD_NUMBER

public static final int USE_UNIFIED_MEMORY_FIELD_NUMBER

See Also:

Constant Field Values

NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER

public static final int NUM_DEV_TO_DEV_COPY_STREAMS_FIELD_NUMBER

See Also:

Constant Field Values

COLLECTIVE_RING_ORDER_FIELD_NUMBER

public static final int COLLECTIVE_RING_ORDER_FIELD_NUMBER

See Also:

Constant Field Values

TIMESTAMPED_ALLOCATOR_FIELD_NUMBER

public static final int TIMESTAMPED_ALLOCATOR_FIELD_NUMBER

See Also:

Constant Field Values

KERNEL_TRACKER_MAX_INTERVAL_FIELD_NUMBER

public static final int KERNEL_TRACKER_MAX_INTERVAL_FIELD_NUMBER

See Also:

Constant Field Values

KERNEL_TRACKER_MAX_BYTES_FIELD_NUMBER

public static final int KERNEL_TRACKER_MAX_BYTES_FIELD_NUMBER

See Also:

Constant Field Values

KERNEL_TRACKER_MAX_PENDING_FIELD_NUMBER

public static final int KERNEL_TRACKER_MAX_PENDING_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected java.lang.Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class com.google.protobuf.GeneratedMessageV3

getUnknownFields

public final com.google.protobuf.UnknownFieldSet getUnknownFields()

Specified by:

getUnknownFields in interface com.google.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class com.google.protobuf.GeneratedMessageV3

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

getVirtualDevicesList

public java.util.List<GPUOptions.Experimental.VirtualDevices> getVirtualDevicesList()

 The multi virtual device settings. If empty (not set), it will create
 single virtual device on each visible GPU, according to the settings
 in "visible_device_list" above. Otherwise, the number of elements in the
 list must be the same as the number of visible GPUs (after
 "visible_device_list" filtering if it is set), and the string represented
 device names (e.g. /device:GPU:<id>) will refer to the virtual
 devices and have the <id> field assigned sequentially starting from 0,
 according to the order they appear in this list and the "memory_limit"
 list inside each element. For example,
   visible_device_list = "1,0"
   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
   virtual_devices {}
 will create three virtual devices as:
   /device:GPU:0 -> visible GPU 1 with 1GB memory
   /device:GPU:1 -> visible GPU 1 with 2GB memory
   /device:GPU:2 -> visible GPU 0 with all available memory
 NOTE:
 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
    at the same time.
 2. Currently this setting is per-process, not per-session. Using
    different settings in different sessions within same process will
    result in undefined behavior.
 

repeated .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;

Specified by:

getVirtualDevicesList in interface GPUOptions.ExperimentalOrBuilder

getVirtualDevicesOrBuilderList

public java.util.List<? extends GPUOptions.Experimental.VirtualDevicesOrBuilder> getVirtualDevicesOrBuilderList()

 The multi virtual device settings. If empty (not set), it will create
 single virtual device on each visible GPU, according to the settings
 in "visible_device_list" above. Otherwise, the number of elements in the
 list must be the same as the number of visible GPUs (after
 "visible_device_list" filtering if it is set), and the string represented
 device names (e.g. /device:GPU:<id>) will refer to the virtual
 devices and have the <id> field assigned sequentially starting from 0,
 according to the order they appear in this list and the "memory_limit"
 list inside each element. For example,
   visible_device_list = "1,0"
   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
   virtual_devices {}
 will create three virtual devices as:
   /device:GPU:0 -> visible GPU 1 with 1GB memory
   /device:GPU:1 -> visible GPU 1 with 2GB memory
   /device:GPU:2 -> visible GPU 0 with all available memory
 NOTE:
 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
    at the same time.
 2. Currently this setting is per-process, not per-session. Using
    different settings in different sessions within same process will
    result in undefined behavior.
 

repeated .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;

Specified by:

getVirtualDevicesOrBuilderList in interface GPUOptions.ExperimentalOrBuilder

getVirtualDevicesCount

public int getVirtualDevicesCount()

 The multi virtual device settings. If empty (not set), it will create
 single virtual device on each visible GPU, according to the settings
 in "visible_device_list" above. Otherwise, the number of elements in the
 list must be the same as the number of visible GPUs (after
 "visible_device_list" filtering if it is set), and the string represented
 device names (e.g. /device:GPU:<id>) will refer to the virtual
 devices and have the <id> field assigned sequentially starting from 0,
 according to the order they appear in this list and the "memory_limit"
 list inside each element. For example,
   visible_device_list = "1,0"
   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
   virtual_devices {}
 will create three virtual devices as:
   /device:GPU:0 -> visible GPU 1 with 1GB memory
   /device:GPU:1 -> visible GPU 1 with 2GB memory
   /device:GPU:2 -> visible GPU 0 with all available memory
 NOTE:
 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
    at the same time.
 2. Currently this setting is per-process, not per-session. Using
    different settings in different sessions within same process will
    result in undefined behavior.
 

repeated .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;

Specified by:

getVirtualDevicesCount in interface GPUOptions.ExperimentalOrBuilder

getVirtualDevices

public GPUOptions.Experimental.VirtualDevices getVirtualDevices(int index)

 The multi virtual device settings. If empty (not set), it will create
 single virtual device on each visible GPU, according to the settings
 in "visible_device_list" above. Otherwise, the number of elements in the
 list must be the same as the number of visible GPUs (after
 "visible_device_list" filtering if it is set), and the string represented
 device names (e.g. /device:GPU:<id>) will refer to the virtual
 devices and have the <id> field assigned sequentially starting from 0,
 according to the order they appear in this list and the "memory_limit"
 list inside each element. For example,
   visible_device_list = "1,0"
   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
   virtual_devices {}
 will create three virtual devices as:
   /device:GPU:0 -> visible GPU 1 with 1GB memory
   /device:GPU:1 -> visible GPU 1 with 2GB memory
   /device:GPU:2 -> visible GPU 0 with all available memory
 NOTE:
 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
    at the same time.
 2. Currently this setting is per-process, not per-session. Using
    different settings in different sessions within same process will
    result in undefined behavior.
 

repeated .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;

Specified by:

getVirtualDevices in interface GPUOptions.ExperimentalOrBuilder

getVirtualDevicesOrBuilder

public GPUOptions.Experimental.VirtualDevicesOrBuilder getVirtualDevicesOrBuilder(int index)

 The multi virtual device settings. If empty (not set), it will create
 single virtual device on each visible GPU, according to the settings
 in "visible_device_list" above. Otherwise, the number of elements in the
 list must be the same as the number of visible GPUs (after
 "visible_device_list" filtering if it is set), and the string represented
 device names (e.g. /device:GPU:<id>) will refer to the virtual
 devices and have the <id> field assigned sequentially starting from 0,
 according to the order they appear in this list and the "memory_limit"
 list inside each element. For example,
   visible_device_list = "1,0"
   virtual_devices { memory_limit: 1GB memory_limit: 2GB }
   virtual_devices {}
 will create three virtual devices as:
   /device:GPU:0 -> visible GPU 1 with 1GB memory
   /device:GPU:1 -> visible GPU 1 with 2GB memory
   /device:GPU:2 -> visible GPU 0 with all available memory
 NOTE:
 1. It's invalid to set both this and "per_process_gpu_memory_fraction"
    at the same time.
 2. Currently this setting is per-process, not per-session. Using
    different settings in different sessions within same process will
    result in undefined behavior.
 

repeated .tensorflow.GPUOptions.Experimental.VirtualDevices virtual_devices = 1;

Specified by:

getVirtualDevicesOrBuilder in interface GPUOptions.ExperimentalOrBuilder

getUseUnifiedMemory

public boolean getUseUnifiedMemory()

 If true, uses CUDA unified memory for memory allocations. If
 per_process_gpu_memory_fraction option is greater than 1.0, then unified
 memory is used regardless of the value for this field. See comments for
 per_process_gpu_memory_fraction field for more details and requirements
 of the unified memory. This option is useful to oversubscribe memory if
 multiple processes are sharing a single GPU while individually using less
 than 1.0 per process memory fraction.
 

bool use_unified_memory = 2;

Specified by:

getUseUnifiedMemory in interface GPUOptions.ExperimentalOrBuilder

Returns:

The useUnifiedMemory.

getNumDevToDevCopyStreams

public int getNumDevToDevCopyStreams()

 If > 1, the number of device-to-device copy streams to create
 for each GPUDevice.  Default value is 0, which is automatically
 converted to 1.
 

int32 num_dev_to_dev_copy_streams = 3;

Specified by:

getNumDevToDevCopyStreams in interface GPUOptions.ExperimentalOrBuilder

Returns:

The numDevToDevCopyStreams.

getCollectiveRingOrder

public java.lang.String getCollectiveRingOrder()

 If non-empty, defines a good GPU ring order on a single worker based on
 device interconnect.  This assumes that all workers have the same GPU
 topology.  Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4".
 This ring order is used by the RingReducer implementation of
 CollectiveReduce, and serves as an override to automatic ring order
 generation in OrderTaskDeviceMap() during CollectiveParam resolution.
 

string collective_ring_order = 4;

Specified by:

getCollectiveRingOrder in interface GPUOptions.ExperimentalOrBuilder

Returns:

The collectiveRingOrder.

getCollectiveRingOrderBytes

public com.google.protobuf.ByteString getCollectiveRingOrderBytes()

 If non-empty, defines a good GPU ring order on a single worker based on
 device interconnect.  This assumes that all workers have the same GPU
 topology.  Specify as a comma-separated string, e.g. "3,2,1,0,7,6,5,4".
 This ring order is used by the RingReducer implementation of
 CollectiveReduce, and serves as an override to automatic ring order
 generation in OrderTaskDeviceMap() during CollectiveParam resolution.
 

string collective_ring_order = 4;

Specified by:

getCollectiveRingOrderBytes in interface GPUOptions.ExperimentalOrBuilder

Returns:

The bytes for collectiveRingOrder.

getTimestampedAllocator

public boolean getTimestampedAllocator()

 If true then extra work is done by GPUDevice and GPUBFCAllocator to
 keep track of when GPU memory is freed and when kernels actually
 complete so that we can know when a nominally free memory chunk
 is really not subject to pending use.
 

bool timestamped_allocator = 5;

Specified by:

getTimestampedAllocator in interface GPUOptions.ExperimentalOrBuilder

Returns:

The timestampedAllocator.

getKernelTrackerMaxInterval

public int getKernelTrackerMaxInterval()

 Parameters for GPUKernelTracker.  By default no kernel tracking is done.
 Note that timestamped_allocator is only effective if some tracking is
 specified.
 If kernel_tracker_max_interval = n > 0, then a tracking event
 is inserted after every n kernels without an event.
 

int32 kernel_tracker_max_interval = 7;

Specified by:

getKernelTrackerMaxInterval in interface GPUOptions.ExperimentalOrBuilder

Returns:

The kernelTrackerMaxInterval.

getKernelTrackerMaxBytes

public int getKernelTrackerMaxBytes()

 If kernel_tracker_max_bytes = n > 0, then a tracking event is
 inserted after every series of kernels allocating a sum of
 memory >= n.  If one kernel allocates b * n bytes, then one
 event will be inserted after it, but it will count as b against
 the pending limit.
 

int32 kernel_tracker_max_bytes = 8;

Specified by:

getKernelTrackerMaxBytes in interface GPUOptions.ExperimentalOrBuilder

Returns:

The kernelTrackerMaxBytes.

getKernelTrackerMaxPending

public int getKernelTrackerMaxPending()

 If kernel_tracker_max_pending > 0 then no more than this many
 tracking events can be outstanding at a time.  An attempt to
 launch an additional kernel will stall until an event
 completes.
 

int32 kernel_tracker_max_pending = 9;

Specified by:

getKernelTrackerMaxPending in interface GPUOptions.ExperimentalOrBuilder

Returns:

The kernelTrackerMaxPending.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3

writeTo

public void writeTo(com.google.protobuf.CodedOutputStream output)
             throws java.io.IOException

Specified by:

writeTo in interface com.google.protobuf.MessageLite

Overrides:

writeTo in class com.google.protobuf.GeneratedMessageV3

Throws:

java.io.IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface com.google.protobuf.MessageLite

Overrides:

getSerializedSize in class com.google.protobuf.GeneratedMessageV3

equals

public boolean equals(java.lang.Object obj)

Specified by:

equals in interface com.google.protobuf.Message

Overrides:

equals in class com.google.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface com.google.protobuf.Message

Overrides:

hashCode in class com.google.protobuf.AbstractMessage

parseFrom

public static GPUOptions.Experimental parseFrom(java.nio.ByteBuffer data)
                                         throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static GPUOptions.Experimental parseFrom(java.nio.ByteBuffer data,
                                                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                         throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static GPUOptions.Experimental parseFrom(com.google.protobuf.ByteString data)
                                         throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static GPUOptions.Experimental parseFrom(byte[] data)
                                         throws com.google.protobuf.InvalidProtocolBufferException

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

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

Throws:

com.google.protobuf.InvalidProtocolBufferException

parseFrom

public static GPUOptions.Experimental parseFrom(java.io.InputStream input)
                                         throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static GPUOptions.Experimental parseFrom(java.io.InputStream input,
                                                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                         throws java.io.IOException

Throws:

java.io.IOException

parseDelimitedFrom

public static GPUOptions.Experimental parseDelimitedFrom(java.io.InputStream input)
                                                  throws java.io.IOException

Throws:

java.io.IOException

parseDelimitedFrom

public static GPUOptions.Experimental parseDelimitedFrom(java.io.InputStream input,
                                                         com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                  throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static GPUOptions.Experimental parseFrom(com.google.protobuf.CodedInputStream input)
                                         throws java.io.IOException

Throws:

java.io.IOException

parseFrom

public static GPUOptions.Experimental parseFrom(com.google.protobuf.CodedInputStream input,
                                                com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                         throws java.io.IOException

Throws:

java.io.IOException

newBuilderForType

public GPUOptions.Experimental.Builder newBuilderForType()

Specified by:

newBuilderForType in interface com.google.protobuf.Message

Specified by:

newBuilderForType in interface com.google.protobuf.MessageLite

newBuilder

public static GPUOptions.Experimental.Builder newBuilder()

newBuilder

public static GPUOptions.Experimental.Builder newBuilder(GPUOptions.Experimental prototype)

toBuilder

public GPUOptions.Experimental.Builder toBuilder()

Specified by:

toBuilder in interface com.google.protobuf.Message

Specified by:

toBuilder in interface com.google.protobuf.MessageLite

newBuilderForType

protected GPUOptions.Experimental.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstance

public static GPUOptions.Experimental getDefaultInstance()

parser

public static com.google.protobuf.Parser<GPUOptions.Experimental> parser()

getParserForType

public com.google.protobuf.Parser<GPUOptions.Experimental> getParserForType()

Specified by:

getParserForType in interface com.google.protobuf.Message

Specified by:

getParserForType in interface com.google.protobuf.MessageLite

Overrides:

getParserForType in class com.google.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public GPUOptions.Experimental getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder