org.tensorflow.framework

Class ConfigProto

java.lang.Object

org.nd4j.shade.protobuf.AbstractMessageLite

org.nd4j.shade.protobuf.AbstractMessage

org.nd4j.shade.protobuf.GeneratedMessageV3

org.tensorflow.framework.ConfigProto

All Implemented Interfaces:

Serializable, org.nd4j.shade.protobuf.Message, org.nd4j.shade.protobuf.MessageLite, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder, ConfigProtoOrBuilder

public final class ConfigProto
extends org.nd4j.shade.protobuf.GeneratedMessageV3
implements ConfigProtoOrBuilder

 Session configuration parameters.
 The system picks appropriate values for fields that are not set.
 

Protobuf type tensorflow.ConfigProto

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	ConfigProto.Builder Session configuration parameters.
static class	ConfigProto.Experimental Everything inside Experimental is subject to change and is not subject to API stability guarantees in https://www.tensorflow.org/guide/version_compat.
static interface	ConfigProto.ExperimentalOrBuilder

Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

org.nd4j.shade.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
static int	CLUSTER_DEF_FIELD_NUMBER
static int	DEVICE_COUNT_FIELD_NUMBER
static int	DEVICE_FILTERS_FIELD_NUMBER
static int	EXPERIMENTAL_FIELD_NUMBER
static int	GPU_OPTIONS_FIELD_NUMBER
static int	GRAPH_OPTIONS_FIELD_NUMBER
static int	INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
static int	INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
static int	ISOLATE_SESSION_STATE_FIELD_NUMBER
static int	LOG_DEVICE_PLACEMENT_FIELD_NUMBER
static int	OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
static int	PLACEMENT_PERIOD_FIELD_NUMBER
static int	RPC_OPTIONS_FIELD_NUMBER
static int	SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
static int	USE_PER_SESSION_THREADS_FIELD_NUMBER

Fields inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class org.nd4j.shade.protobuf.AbstractMessage

memoizedSize

Fields inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	containsDeviceCount(String key) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
boolean	equals(Object obj)
boolean	getAllowSoftPlacement() Whether soft placement is allowed.
ClusterDef	getClusterDef() Optional list of all workers to use in this session.
ClusterDefOrBuilder	getClusterDefOrBuilder() Optional list of all workers to use in this session.
static ConfigProto	getDefaultInstance()
ConfigProto	getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptor()
Map<String,Integer>	getDeviceCount() Deprecated.
int	getDeviceCountCount() Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
Map<String,Integer>	getDeviceCountMap() Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrDefault(String key, int defaultValue) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
int	getDeviceCountOrThrow(String key) Map from device type name (e.g., "CPU" or "GPU" ) to maximum number of devices of that type to use.
String	getDeviceFilters(int index) When any filters are present sessions will ignore all devices which do not match the filters.
org.nd4j.shade.protobuf.ByteString	getDeviceFiltersBytes(int index) When any filters are present sessions will ignore all devices which do not match the filters.
int	getDeviceFiltersCount() When any filters are present sessions will ignore all devices which do not match the filters.
org.nd4j.shade.protobuf.ProtocolStringList	getDeviceFiltersList() When any filters are present sessions will ignore all devices which do not match the filters.
ConfigProto.Experimental	getExperimental() .tensorflow.ConfigProto.Experimental experimental = 16;
ConfigProto.ExperimentalOrBuilder	getExperimentalOrBuilder() .tensorflow.ConfigProto.Experimental experimental = 16;
GPUOptions	getGpuOptions() Options that apply to all GPUs.
GPUOptionsOrBuilder	getGpuOptionsOrBuilder() Options that apply to all GPUs.
GraphOptions	getGraphOptions() Options that apply to all graphs.
GraphOptionsOrBuilder	getGraphOptionsOrBuilder() Options that apply to all graphs.
int	getInterOpParallelismThreads() Nodes that perform blocking operations are enqueued on a pool of inter_op_parallelism_threads available in each process.
int	getIntraOpParallelismThreads() The execution of an individual op (for some op types) can be parallelized on a pool of intra_op_parallelism_threads.
boolean	getIsolateSessionState() If true, any resources such as Variables used in the session will not be shared with other sessions.
boolean	getLogDevicePlacement() Whether device placements should be logged.
long	getOperationTimeoutInMs() Global timeout for all blocking operations in this session.
org.nd4j.shade.protobuf.Parser<ConfigProto>	getParserForType()
int	getPlacementPeriod() Assignment of Nodes to Devices is recomputed every placement_period steps until the system warms up (at which point the recomputation typically slows down automatically).
RPCOptions	getRpcOptions() Options that apply when this session uses the distributed runtime.
RPCOptionsOrBuilder	getRpcOptionsOrBuilder() Options that apply when this session uses the distributed runtime.
int	getSerializedSize()
ThreadPoolOptionProto	getSessionInterOpThreadPool(int index) This option is experimental - it may be replaced with a different mechanism in the future.
int	getSessionInterOpThreadPoolCount() This option is experimental - it may be replaced with a different mechanism in the future.
List<ThreadPoolOptionProto>	getSessionInterOpThreadPoolList() This option is experimental - it may be replaced with a different mechanism in the future.
ThreadPoolOptionProtoOrBuilder	getSessionInterOpThreadPoolOrBuilder(int index) This option is experimental - it may be replaced with a different mechanism in the future.
List<? extends ThreadPoolOptionProtoOrBuilder>	getSessionInterOpThreadPoolOrBuilderList() This option is experimental - it may be replaced with a different mechanism in the future.
org.nd4j.shade.protobuf.UnknownFieldSet	getUnknownFields()
boolean	getUsePerSessionThreads() If true, use a new set of threads for this session rather than the global pool of threads.
boolean	hasClusterDef() Optional list of all workers to use in this session.
boolean	hasExperimental() .tensorflow.ConfigProto.Experimental experimental = 16;
boolean	hasGpuOptions() Options that apply to all GPUs.
boolean	hasGraphOptions() Options that apply to all graphs.
int	hashCode()
boolean	hasRpcOptions() Options that apply when this session uses the distributed runtime.
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
protected org.nd4j.shade.protobuf.MapField	internalGetMapField(int number)
boolean	isInitialized()
static ConfigProto.Builder	newBuilder()
static ConfigProto.Builder	newBuilder(ConfigProto prototype)
ConfigProto.Builder	newBuilderForType()
protected ConfigProto.Builder	newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static ConfigProto	parseDelimitedFrom(InputStream input)
static ConfigProto	parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto	parseFrom(byte[] data)
static ConfigProto	parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto	parseFrom(ByteBuffer data)
static ConfigProto	parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto	parseFrom(org.nd4j.shade.protobuf.ByteString data)
static ConfigProto	parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto	parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static ConfigProto	parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static ConfigProto	parseFrom(InputStream input)
static ConfigProto	parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static org.nd4j.shade.protobuf.Parser<ConfigProto>	parser()
ConfigProto.Builder	toBuilder()
void	writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)

Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, 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 org.nd4j.shade.protobuf.AbstractMessage

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

Methods inherited from class org.nd4j.shade.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 org.nd4j.shade.protobuf.MessageOrBuilder

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

Methods inherited from interface org.nd4j.shade.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

DEVICE_COUNT_FIELD_NUMBER

public static final int DEVICE_COUNT_FIELD_NUMBER

See Also:

Constant Field Values

INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

public static final int INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

See Also:

Constant Field Values

INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

public static final int INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

See Also:

Constant Field Values

USE_PER_SESSION_THREADS_FIELD_NUMBER

public static final int USE_PER_SESSION_THREADS_FIELD_NUMBER

See Also:

Constant Field Values

SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

public static final int SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

See Also:

Constant Field Values

PLACEMENT_PERIOD_FIELD_NUMBER

public static final int PLACEMENT_PERIOD_FIELD_NUMBER

See Also:

Constant Field Values

DEVICE_FILTERS_FIELD_NUMBER

public static final int DEVICE_FILTERS_FIELD_NUMBER

See Also:

Constant Field Values

GPU_OPTIONS_FIELD_NUMBER

public static final int GPU_OPTIONS_FIELD_NUMBER

See Also:

Constant Field Values

ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

public static final int ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

See Also:

Constant Field Values

LOG_DEVICE_PLACEMENT_FIELD_NUMBER

public static final int LOG_DEVICE_PLACEMENT_FIELD_NUMBER

See Also:

Constant Field Values

GRAPH_OPTIONS_FIELD_NUMBER

public static final int GRAPH_OPTIONS_FIELD_NUMBER

See Also:

Constant Field Values

OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

public static final int OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

See Also:

Constant Field Values

RPC_OPTIONS_FIELD_NUMBER

public static final int RPC_OPTIONS_FIELD_NUMBER

See Also:

Constant Field Values

CLUSTER_DEF_FIELD_NUMBER

public static final int CLUSTER_DEF_FIELD_NUMBER

See Also:

Constant Field Values

ISOLATE_SESSION_STATE_FIELD_NUMBER

public static final int ISOLATE_SESSION_STATE_FIELD_NUMBER

See Also:

Constant Field Values

EXPERIMENTAL_FIELD_NUMBER

public static final int EXPERIMENTAL_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class org.nd4j.shade.protobuf.GeneratedMessageV3

getUnknownFields

public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()

Specified by:

getUnknownFields in interface org.nd4j.shade.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDescriptor

public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapField

protected org.nd4j.shade.protobuf.MapField internalGetMapField(int number)

Overrides:

internalGetMapField in class org.nd4j.shade.protobuf.GeneratedMessageV3

internalGetFieldAccessorTable

protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDeviceCountCount

public int getDeviceCountCount()

Description copied from interface: ConfigProtoOrBuilder

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
 

map<string, int32> device_count = 1;

Specified by:

getDeviceCountCount in interface ConfigProtoOrBuilder

containsDeviceCount

public boolean containsDeviceCount(String key)

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
 

map<string, int32> device_count = 1;

Specified by:

containsDeviceCount in interface ConfigProtoOrBuilder

getDeviceCount

@Deprecated
public Map<String,Integer> getDeviceCount()

Deprecated.

Use getDeviceCountMap() instead.

Specified by:

getDeviceCount in interface ConfigProtoOrBuilder

getDeviceCountMap

public Map<String,Integer> getDeviceCountMap()

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
 

map<string, int32> device_count = 1;

Specified by:

getDeviceCountMap in interface ConfigProtoOrBuilder

getDeviceCountOrDefault

public int getDeviceCountOrDefault(String key,
                                   int defaultValue)

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
 

map<string, int32> device_count = 1;

Specified by:

getDeviceCountOrDefault in interface ConfigProtoOrBuilder

getDeviceCountOrThrow

public int getDeviceCountOrThrow(String key)

 Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
 

map<string, int32> device_count = 1;

Specified by:

getDeviceCountOrThrow in interface ConfigProtoOrBuilder

getIntraOpParallelismThreads

public int getIntraOpParallelismThreads()

 The execution of an individual op (for some op types) can be
 parallelized on a pool of intra_op_parallelism_threads.
 0 means the system picks an appropriate number.
 

int32 intra_op_parallelism_threads = 2;

Specified by:

getIntraOpParallelismThreads in interface ConfigProtoOrBuilder

Returns:

The intraOpParallelismThreads.

getInterOpParallelismThreads

public int getInterOpParallelismThreads()

 Nodes that perform blocking operations are enqueued on a pool of
 inter_op_parallelism_threads available in each process.
 0 means the system picks an appropriate number.
 Note that the first Session created in the process sets the
 number of threads for all future sessions unless use_per_session_threads is
 true or session_inter_op_thread_pool is configured.
 

int32 inter_op_parallelism_threads = 5;

Specified by:

getInterOpParallelismThreads in interface ConfigProtoOrBuilder

Returns:

The interOpParallelismThreads.

getUsePerSessionThreads

public boolean getUsePerSessionThreads()

 If true, use a new set of threads for this session rather than the global
 pool of threads. Only supported by direct sessions.
 If false, use the global threads created by the first session, or the
 per-session thread pools configured by session_inter_op_thread_pool.
 This option is deprecated. The same effect can be achieved by setting
 session_inter_op_thread_pool to have one element, whose num_threads equals
 inter_op_parallelism_threads.
 

bool use_per_session_threads = 9;

Specified by:

getUsePerSessionThreads in interface ConfigProtoOrBuilder

Returns:

The usePerSessionThreads.

getSessionInterOpThreadPoolList

public List<ThreadPoolOptionProto> getSessionInterOpThreadPoolList()

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
 

repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

Specified by:

getSessionInterOpThreadPoolList in interface ConfigProtoOrBuilder

getSessionInterOpThreadPoolOrBuilderList

public List<? extends ThreadPoolOptionProtoOrBuilder> getSessionInterOpThreadPoolOrBuilderList()

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
 

repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

Specified by:

getSessionInterOpThreadPoolOrBuilderList in interface ConfigProtoOrBuilder

getSessionInterOpThreadPoolCount

public int getSessionInterOpThreadPoolCount()

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
 

repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

Specified by:

getSessionInterOpThreadPoolCount in interface ConfigProtoOrBuilder

getSessionInterOpThreadPool

public ThreadPoolOptionProto getSessionInterOpThreadPool(int index)

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
 

repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

Specified by:

getSessionInterOpThreadPool in interface ConfigProtoOrBuilder

getSessionInterOpThreadPoolOrBuilder

public ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder(int index)

 This option is experimental - it may be replaced with a different mechanism
 in the future.
 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.
 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
 

repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

Specified by:

getSessionInterOpThreadPoolOrBuilder in interface ConfigProtoOrBuilder

getPlacementPeriod

public int getPlacementPeriod()

 Assignment of Nodes to Devices is recomputed every placement_period
 steps until the system warms up (at which point the recomputation
 typically slows down automatically).
 

int32 placement_period = 3;

Specified by:

getPlacementPeriod in interface ConfigProtoOrBuilder

Returns:

The placementPeriod.

getDeviceFiltersList

public org.nd4j.shade.protobuf.ProtocolStringList getDeviceFiltersList()

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
 

repeated string device_filters = 4;

Specified by:

getDeviceFiltersList in interface ConfigProtoOrBuilder

Returns:

A list containing the deviceFilters.

getDeviceFiltersCount

public int getDeviceFiltersCount()

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
 

repeated string device_filters = 4;

Specified by:

getDeviceFiltersCount in interface ConfigProtoOrBuilder

Returns:

The count of deviceFilters.

getDeviceFilters

public String getDeviceFilters(int index)

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
 

repeated string device_filters = 4;

Specified by:

getDeviceFilters in interface ConfigProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The deviceFilters at the given index.

getDeviceFiltersBytes

public org.nd4j.shade.protobuf.ByteString getDeviceFiltersBytes(int index)

 When any filters are present sessions will ignore all devices which do not
 match the filters. Each filter can be partially specified, e.g. "/job:ps"
 "/job:worker/replica:3", etc.
 

repeated string device_filters = 4;

Specified by:

getDeviceFiltersBytes in interface ConfigProtoOrBuilder

Parameters:

index - The index of the value to return.

Returns:

The bytes of the deviceFilters at the given index.

hasGpuOptions

public boolean hasGpuOptions()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

Specified by:

hasGpuOptions in interface ConfigProtoOrBuilder

Returns:

Whether the gpuOptions field is set.

getGpuOptions

public GPUOptions getGpuOptions()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

Specified by:

getGpuOptions in interface ConfigProtoOrBuilder

Returns:

The gpuOptions.

getGpuOptionsOrBuilder

public GPUOptionsOrBuilder getGpuOptionsOrBuilder()

 Options that apply to all GPUs.
 

.tensorflow.GPUOptions gpu_options = 6;

Specified by:

getGpuOptionsOrBuilder in interface ConfigProtoOrBuilder

getAllowSoftPlacement

public boolean getAllowSoftPlacement()

 Whether soft placement is allowed. If allow_soft_placement is true,
 an op will be placed on CPU if
   1. there's no GPU implementation for the OP
 or
   2. no GPU devices are known or registered
 or
   3. need to co-locate with reftype input(s) which are from CPU.
 

bool allow_soft_placement = 7;

Specified by:

getAllowSoftPlacement in interface ConfigProtoOrBuilder

Returns:

The allowSoftPlacement.

getLogDevicePlacement

public boolean getLogDevicePlacement()

 Whether device placements should be logged.
 

bool log_device_placement = 8;

Specified by:

getLogDevicePlacement in interface ConfigProtoOrBuilder

Returns:

The logDevicePlacement.

hasGraphOptions

public boolean hasGraphOptions()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

Specified by:

hasGraphOptions in interface ConfigProtoOrBuilder

Returns:

Whether the graphOptions field is set.

getGraphOptions

public GraphOptions getGraphOptions()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

Specified by:

getGraphOptions in interface ConfigProtoOrBuilder

Returns:

The graphOptions.

getGraphOptionsOrBuilder

public GraphOptionsOrBuilder getGraphOptionsOrBuilder()

 Options that apply to all graphs.
 

.tensorflow.GraphOptions graph_options = 10;

Specified by:

getGraphOptionsOrBuilder in interface ConfigProtoOrBuilder

getOperationTimeoutInMs

public long getOperationTimeoutInMs()

 Global timeout for all blocking operations in this session.  If non-zero,
 and not overridden on a per-operation basis, this value will be used as the
 deadline for all blocking operations.
 

int64 operation_timeout_in_ms = 11;

Specified by:

getOperationTimeoutInMs in interface ConfigProtoOrBuilder

Returns:

The operationTimeoutInMs.

hasRpcOptions

public boolean hasRpcOptions()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

Specified by:

hasRpcOptions in interface ConfigProtoOrBuilder

Returns:

Whether the rpcOptions field is set.

getRpcOptions

public RPCOptions getRpcOptions()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

Specified by:

getRpcOptions in interface ConfigProtoOrBuilder

Returns:

The rpcOptions.

getRpcOptionsOrBuilder

public RPCOptionsOrBuilder getRpcOptionsOrBuilder()

 Options that apply when this session uses the distributed runtime.
 

.tensorflow.RPCOptions rpc_options = 13;

Specified by:

getRpcOptionsOrBuilder in interface ConfigProtoOrBuilder

hasClusterDef

public boolean hasClusterDef()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

Specified by:

hasClusterDef in interface ConfigProtoOrBuilder

Returns:

Whether the clusterDef field is set.

getClusterDef

public ClusterDef getClusterDef()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

Specified by:

getClusterDef in interface ConfigProtoOrBuilder

Returns:

The clusterDef.

getClusterDefOrBuilder

public ClusterDefOrBuilder getClusterDefOrBuilder()

 Optional list of all workers to use in this session.
 

.tensorflow.ClusterDef cluster_def = 14;

Specified by:

getClusterDefOrBuilder in interface ConfigProtoOrBuilder

getIsolateSessionState

public boolean getIsolateSessionState()

 If true, any resources such as Variables used in the session will not be
 shared with other sessions.
 

bool isolate_session_state = 15;

Specified by:

getIsolateSessionState in interface ConfigProtoOrBuilder

Returns:

The isolateSessionState.

hasExperimental

public boolean hasExperimental()

.tensorflow.ConfigProto.Experimental experimental = 16;

Specified by:

hasExperimental in interface ConfigProtoOrBuilder

Returns:

Whether the experimental field is set.

getExperimental

public ConfigProto.Experimental getExperimental()

.tensorflow.ConfigProto.Experimental experimental = 16;

Specified by:

getExperimental in interface ConfigProtoOrBuilder

Returns:

The experimental.

getExperimentalOrBuilder

public ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder()

.tensorflow.ConfigProto.Experimental experimental = 16;

Specified by:

getExperimentalOrBuilder in interface ConfigProtoOrBuilder

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3

writeTo

public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

writeTo in class org.nd4j.shade.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

getSerializedSize in class org.nd4j.shade.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface org.nd4j.shade.protobuf.Message

Overrides:

equals in class org.nd4j.shade.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface org.nd4j.shade.protobuf.Message

Overrides:

hashCode in class org.nd4j.shade.protobuf.AbstractMessage

parseFrom

public static ConfigProto parseFrom(ByteBuffer data)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(ByteBuffer data,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(org.nd4j.shade.protobuf.ByteString data)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(org.nd4j.shade.protobuf.ByteString data,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(byte[] data)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(byte[] data,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static ConfigProto parseFrom(InputStream input)
                             throws IOException

Throws:

IOException

parseFrom

public static ConfigProto parseFrom(InputStream input,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws IOException

Throws:

IOException

parseDelimitedFrom

public static ConfigProto parseDelimitedFrom(InputStream input)
                                      throws IOException

Throws:

IOException

parseDelimitedFrom

public static ConfigProto parseDelimitedFrom(InputStream input,
                                             org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                      throws IOException

Throws:

IOException

parseFrom

public static ConfigProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
                             throws IOException

Throws:

IOException

parseFrom

public static ConfigProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input,
                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                             throws IOException

Throws:

IOException

newBuilderForType

public ConfigProto.Builder newBuilderForType()

Specified by:

newBuilderForType in interface org.nd4j.shade.protobuf.Message

Specified by:

newBuilderForType in interface org.nd4j.shade.protobuf.MessageLite

newBuilder

public static ConfigProto.Builder newBuilder()

newBuilder

public static ConfigProto.Builder newBuilder(ConfigProto prototype)

toBuilder

public ConfigProto.Builder toBuilder()

Specified by:

toBuilder in interface org.nd4j.shade.protobuf.Message

Specified by:

toBuilder in interface org.nd4j.shade.protobuf.MessageLite

newBuilderForType

protected ConfigProto.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDefaultInstance

public static ConfigProto getDefaultInstance()

parser

public static org.nd4j.shade.protobuf.Parser<ConfigProto> parser()

getParserForType

public org.nd4j.shade.protobuf.Parser<ConfigProto> getParserForType()

Specified by:

getParserForType in interface org.nd4j.shade.protobuf.Message

Specified by:

getParserForType in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

getParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public ConfigProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder