public static final class ConfigProto.Builder extends com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder> implements ConfigProtoOrBuilder
Session configuration parameters. The system picks appropriate values for fields that are not set.Protobuf type
tensorflow.ConfigProto
Modifier and Type | Method and Description |
---|---|
ConfigProto.Builder |
addAllDeviceFilters(Iterable<String> values)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Builder |
addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto> values)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
addDeviceFilters(String value)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Builder |
addDeviceFiltersBytes(com.github.os72.protobuf351.ByteString value)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Builder |
addRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
Object value) |
ConfigProto.Builder |
addSessionInterOpThreadPool(int index,
ThreadPoolOptionProto.Builder builderForValue)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
addSessionInterOpThreadPool(int index,
ThreadPoolOptionProto value)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder builderForValue)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
addSessionInterOpThreadPool(ThreadPoolOptionProto value)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ThreadPoolOptionProto.Builder |
addSessionInterOpThreadPoolBuilder()
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ThreadPoolOptionProto.Builder |
addSessionInterOpThreadPoolBuilder(int index)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto |
build() |
ConfigProto |
buildPartial() |
ConfigProto.Builder |
clear() |
ConfigProto.Builder |
clearAllowSoftPlacement()
Whether soft placement is allowed.
|
ConfigProto.Builder |
clearClusterDef()
Optional list of all workers to use in this session.
|
ConfigProto.Builder |
clearDeviceCount() |
ConfigProto.Builder |
clearDeviceFilters()
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Builder |
clearExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.Builder |
clearField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field) |
ConfigProto.Builder |
clearGpuOptions()
Options that apply to all GPUs.
|
ConfigProto.Builder |
clearGraphOptions()
Options that apply to all graphs.
|
ConfigProto.Builder |
clearInterOpParallelismThreads()
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
|
ConfigProto.Builder |
clearIntraOpParallelismThreads()
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
|
ConfigProto.Builder |
clearIsolateSessionState()
If true, any resources such as Variables used in the session will not be
shared with other sessions.
|
ConfigProto.Builder |
clearLogDevicePlacement()
Whether device placements should be logged.
|
ConfigProto.Builder |
clearOneof(com.github.os72.protobuf351.Descriptors.OneofDescriptor oneof) |
ConfigProto.Builder |
clearOperationTimeoutInMs()
Global timeout for all blocking operations in this session.
|
ConfigProto.Builder |
clearPlacementPeriod()
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).
|
ConfigProto.Builder |
clearRpcOptions()
Options that apply when this session uses the distributed runtime.
|
ConfigProto.Builder |
clearSessionInterOpThreadPool()
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
clearUsePerSessionThreads()
If true, use a new set of threads for this session rather than the global
pool of threads.
|
ConfigProto.Builder |
clone() |
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 |
getAllowSoftPlacement()
Whether soft placement is allowed.
|
ClusterDef |
getClusterDef()
Optional list of all workers to use in this session.
|
ClusterDef.Builder |
getClusterDefBuilder()
Optional list of all workers to use in this session.
|
ClusterDefOrBuilder |
getClusterDefOrBuilder()
Optional list of all workers to use in this session.
|
ConfigProto |
getDefaultInstanceForType() |
static com.github.os72.protobuf351.Descriptors.Descriptor |
getDescriptor() |
com.github.os72.protobuf351.Descriptors.Descriptor |
getDescriptorForType() |
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.
|
com.github.os72.protobuf351.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.
|
com.github.os72.protobuf351.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.Experimental.Builder |
getExperimentalBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.ExperimentalOrBuilder |
getExperimentalOrBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16; |
GPUOptions |
getGpuOptions()
Options that apply to all GPUs.
|
GPUOptions.Builder |
getGpuOptionsBuilder()
Options that apply to all GPUs.
|
GPUOptionsOrBuilder |
getGpuOptionsOrBuilder()
Options that apply to all GPUs.
|
GraphOptions |
getGraphOptions()
Options that apply to all graphs.
|
GraphOptions.Builder |
getGraphOptionsBuilder()
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.
|
Map<String,Integer> |
getMutableDeviceCount()
Deprecated.
|
long |
getOperationTimeoutInMs()
Global timeout for all blocking operations in this session.
|
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.
|
RPCOptions.Builder |
getRpcOptionsBuilder()
Options that apply when this session uses the distributed runtime.
|
RPCOptionsOrBuilder |
getRpcOptionsOrBuilder()
Options that apply when this session uses the distributed runtime.
|
ThreadPoolOptionProto |
getSessionInterOpThreadPool(int index)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ThreadPoolOptionProto.Builder |
getSessionInterOpThreadPoolBuilder(int index)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
List<ThreadPoolOptionProto.Builder> |
getSessionInterOpThreadPoolBuilderList()
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.
|
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.
|
boolean |
hasRpcOptions()
Options that apply when this session uses the distributed runtime.
|
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.github.os72.protobuf351.MapField |
internalGetMapField(int number) |
protected com.github.os72.protobuf351.MapField |
internalGetMutableMapField(int number) |
boolean |
isInitialized() |
ConfigProto.Builder |
mergeClusterDef(ClusterDef value)
Optional list of all workers to use in this session.
|
ConfigProto.Builder |
mergeExperimental(ConfigProto.Experimental value)
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.Builder |
mergeFrom(com.github.os72.protobuf351.CodedInputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
ConfigProto.Builder |
mergeFrom(ConfigProto other) |
ConfigProto.Builder |
mergeFrom(com.github.os72.protobuf351.Message other) |
ConfigProto.Builder |
mergeGpuOptions(GPUOptions value)
Options that apply to all GPUs.
|
ConfigProto.Builder |
mergeGraphOptions(GraphOptions value)
Options that apply to all graphs.
|
ConfigProto.Builder |
mergeRpcOptions(RPCOptions value)
Options that apply when this session uses the distributed runtime.
|
ConfigProto.Builder |
mergeUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields) |
ConfigProto.Builder |
putAllDeviceCount(Map<String,Integer> values)
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
|
ConfigProto.Builder |
putDeviceCount(String key,
int value)
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
|
ConfigProto.Builder |
removeDeviceCount(String key)
Map from device type name (e.g., "CPU" or "GPU" ) to maximum
number of devices of that type to use.
|
ConfigProto.Builder |
removeSessionInterOpThreadPool(int index)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
setAllowSoftPlacement(boolean value)
Whether soft placement is allowed.
|
ConfigProto.Builder |
setClusterDef(ClusterDef.Builder builderForValue)
Optional list of all workers to use in this session.
|
ConfigProto.Builder |
setClusterDef(ClusterDef value)
Optional list of all workers to use in this session.
|
ConfigProto.Builder |
setDeviceFilters(int index,
String value)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Builder |
setExperimental(ConfigProto.Experimental.Builder builderForValue)
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.Builder |
setExperimental(ConfigProto.Experimental value)
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.Builder |
setField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
Object value) |
ConfigProto.Builder |
setGpuOptions(GPUOptions.Builder builderForValue)
Options that apply to all GPUs.
|
ConfigProto.Builder |
setGpuOptions(GPUOptions value)
Options that apply to all GPUs.
|
ConfigProto.Builder |
setGraphOptions(GraphOptions.Builder builderForValue)
Options that apply to all graphs.
|
ConfigProto.Builder |
setGraphOptions(GraphOptions value)
Options that apply to all graphs.
|
ConfigProto.Builder |
setInterOpParallelismThreads(int value)
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
|
ConfigProto.Builder |
setIntraOpParallelismThreads(int value)
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
|
ConfigProto.Builder |
setIsolateSessionState(boolean value)
If true, any resources such as Variables used in the session will not be
shared with other sessions.
|
ConfigProto.Builder |
setLogDevicePlacement(boolean value)
Whether device placements should be logged.
|
ConfigProto.Builder |
setOperationTimeoutInMs(long value)
Global timeout for all blocking operations in this session.
|
ConfigProto.Builder |
setPlacementPeriod(int value)
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).
|
ConfigProto.Builder |
setRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field,
int index,
Object value) |
ConfigProto.Builder |
setRpcOptions(RPCOptions.Builder builderForValue)
Options that apply when this session uses the distributed runtime.
|
ConfigProto.Builder |
setRpcOptions(RPCOptions value)
Options that apply when this session uses the distributed runtime.
|
ConfigProto.Builder |
setSessionInterOpThreadPool(int index,
ThreadPoolOptionProto.Builder builderForValue)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
setSessionInterOpThreadPool(int index,
ThreadPoolOptionProto value)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
ConfigProto.Builder |
setUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields) |
ConfigProto.Builder |
setUsePerSessionThreads(boolean value)
If true, use a new set of threads for this session rather than the global
pool of threads.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
addAll, addAll, mergeFrom, newUninitializedMessageException
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
public static final com.github.os72.protobuf351.Descriptors.Descriptor getDescriptor()
protected com.github.os72.protobuf351.MapField internalGetMapField(int number)
internalGetMapField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
protected com.github.os72.protobuf351.MapField internalGetMutableMapField(int number)
internalGetMutableMapField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder clear()
clear
in interface com.github.os72.protobuf351.Message.Builder
clear
in interface com.github.os72.protobuf351.MessageLite.Builder
clear
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public com.github.os72.protobuf351.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType
in interface com.github.os72.protobuf351.Message.Builder
getDescriptorForType
in interface com.github.os72.protobuf351.MessageOrBuilder
getDescriptorForType
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto getDefaultInstanceForType()
getDefaultInstanceForType
in interface com.github.os72.protobuf351.MessageLiteOrBuilder
getDefaultInstanceForType
in interface com.github.os72.protobuf351.MessageOrBuilder
public ConfigProto build()
build
in interface com.github.os72.protobuf351.Message.Builder
build
in interface com.github.os72.protobuf351.MessageLite.Builder
public ConfigProto buildPartial()
buildPartial
in interface com.github.os72.protobuf351.Message.Builder
buildPartial
in interface com.github.os72.protobuf351.MessageLite.Builder
public ConfigProto.Builder clone()
clone
in interface com.github.os72.protobuf351.Message.Builder
clone
in interface com.github.os72.protobuf351.MessageLite.Builder
clone
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder setField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)
setField
in interface com.github.os72.protobuf351.Message.Builder
setField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder clearField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field)
clearField
in interface com.github.os72.protobuf351.Message.Builder
clearField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder clearOneof(com.github.os72.protobuf351.Descriptors.OneofDescriptor oneof)
clearOneof
in interface com.github.os72.protobuf351.Message.Builder
clearOneof
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder setRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField
in interface com.github.os72.protobuf351.Message.Builder
setRepeatedField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder addRepeatedField(com.github.os72.protobuf351.Descriptors.FieldDescriptor field, Object value)
addRepeatedField
in interface com.github.os72.protobuf351.Message.Builder
addRepeatedField
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder mergeFrom(com.github.os72.protobuf351.Message other)
mergeFrom
in interface com.github.os72.protobuf351.Message.Builder
mergeFrom
in class com.github.os72.protobuf351.AbstractMessage.Builder<ConfigProto.Builder>
public ConfigProto.Builder mergeFrom(ConfigProto other)
public final boolean isInitialized()
isInitialized
in interface com.github.os72.protobuf351.MessageLiteOrBuilder
isInitialized
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public ConfigProto.Builder mergeFrom(com.github.os72.protobuf351.CodedInputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom
in interface com.github.os72.protobuf351.Message.Builder
mergeFrom
in interface com.github.os72.protobuf351.MessageLite.Builder
mergeFrom
in class com.github.os72.protobuf351.AbstractMessage.Builder<ConfigProto.Builder>
IOException
public int getDeviceCountCount()
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;
getDeviceCountCount
in interface ConfigProtoOrBuilder
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;
containsDeviceCount
in interface ConfigProtoOrBuilder
@Deprecated public Map<String,Integer> getDeviceCount()
getDeviceCountMap()
instead.getDeviceCount
in interface ConfigProtoOrBuilder
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;
getDeviceCountMap
in interface ConfigProtoOrBuilder
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;
getDeviceCountOrDefault
in interface ConfigProtoOrBuilder
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;
getDeviceCountOrThrow
in interface ConfigProtoOrBuilder
public ConfigProto.Builder clearDeviceCount()
public ConfigProto.Builder removeDeviceCount(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;
@Deprecated public Map<String,Integer> getMutableDeviceCount()
public ConfigProto.Builder putDeviceCount(String key, int value)
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;
public ConfigProto.Builder putAllDeviceCount(Map<String,Integer> values)
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;
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;
getIntraOpParallelismThreads
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setIntraOpParallelismThreads(int value)
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;
public ConfigProto.Builder clearIntraOpParallelismThreads()
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;
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;
getInterOpParallelismThreads
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setInterOpParallelismThreads(int value)
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;
public ConfigProto.Builder clearInterOpParallelismThreads()
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;
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;
getUsePerSessionThreads
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setUsePerSessionThreads(boolean value)
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;
public ConfigProto.Builder clearUsePerSessionThreads()
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;
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;
getSessionInterOpThreadPoolList
in interface ConfigProtoOrBuilder
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;
getSessionInterOpThreadPoolCount
in interface ConfigProtoOrBuilder
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;
getSessionInterOpThreadPool
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setSessionInterOpThreadPool(int index, ThreadPoolOptionProto value)
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;
public ConfigProto.Builder setSessionInterOpThreadPool(int index, ThreadPoolOptionProto.Builder builderForValue)
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;
public ConfigProto.Builder addSessionInterOpThreadPool(ThreadPoolOptionProto value)
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;
public ConfigProto.Builder addSessionInterOpThreadPool(int index, ThreadPoolOptionProto value)
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;
public ConfigProto.Builder addSessionInterOpThreadPool(ThreadPoolOptionProto.Builder builderForValue)
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;
public ConfigProto.Builder addSessionInterOpThreadPool(int index, ThreadPoolOptionProto.Builder builderForValue)
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;
public ConfigProto.Builder addAllSessionInterOpThreadPool(Iterable<? extends ThreadPoolOptionProto> values)
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;
public ConfigProto.Builder clearSessionInterOpThreadPool()
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;
public ConfigProto.Builder removeSessionInterOpThreadPool(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;
public ThreadPoolOptionProto.Builder getSessionInterOpThreadPoolBuilder(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;
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;
getSessionInterOpThreadPoolOrBuilder
in interface ConfigProtoOrBuilder
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;
getSessionInterOpThreadPoolOrBuilderList
in interface ConfigProtoOrBuilder
public ThreadPoolOptionProto.Builder addSessionInterOpThreadPoolBuilder()
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;
public ThreadPoolOptionProto.Builder addSessionInterOpThreadPoolBuilder(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;
public List<ThreadPoolOptionProto.Builder> getSessionInterOpThreadPoolBuilderList()
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;
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;
getPlacementPeriod
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setPlacementPeriod(int value)
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;
public ConfigProto.Builder clearPlacementPeriod()
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;
public com.github.os72.protobuf351.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;
getDeviceFiltersList
in interface ConfigProtoOrBuilder
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;
getDeviceFiltersCount
in interface ConfigProtoOrBuilder
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;
getDeviceFilters
in interface ConfigProtoOrBuilder
public com.github.os72.protobuf351.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;
getDeviceFiltersBytes
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setDeviceFilters(int index, String value)
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;
public ConfigProto.Builder addDeviceFilters(String value)
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;
public ConfigProto.Builder addAllDeviceFilters(Iterable<String> values)
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;
public ConfigProto.Builder clearDeviceFilters()
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;
public ConfigProto.Builder addDeviceFiltersBytes(com.github.os72.protobuf351.ByteString value)
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;
public boolean hasGpuOptions()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
hasGpuOptions
in interface ConfigProtoOrBuilder
public GPUOptions getGpuOptions()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
getGpuOptions
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setGpuOptions(GPUOptions value)
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
public ConfigProto.Builder setGpuOptions(GPUOptions.Builder builderForValue)
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
public ConfigProto.Builder mergeGpuOptions(GPUOptions value)
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
public ConfigProto.Builder clearGpuOptions()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
public GPUOptions.Builder getGpuOptionsBuilder()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
public GPUOptionsOrBuilder getGpuOptionsOrBuilder()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;
getGpuOptionsOrBuilder
in interface ConfigProtoOrBuilder
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;
getAllowSoftPlacement
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setAllowSoftPlacement(boolean value)
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;
public ConfigProto.Builder clearAllowSoftPlacement()
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;
public boolean getLogDevicePlacement()
Whether device placements should be logged.
bool log_device_placement = 8;
getLogDevicePlacement
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setLogDevicePlacement(boolean value)
Whether device placements should be logged.
bool log_device_placement = 8;
public ConfigProto.Builder clearLogDevicePlacement()
Whether device placements should be logged.
bool log_device_placement = 8;
public boolean hasGraphOptions()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
hasGraphOptions
in interface ConfigProtoOrBuilder
public GraphOptions getGraphOptions()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
getGraphOptions
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setGraphOptions(GraphOptions value)
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
public ConfigProto.Builder setGraphOptions(GraphOptions.Builder builderForValue)
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
public ConfigProto.Builder mergeGraphOptions(GraphOptions value)
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
public ConfigProto.Builder clearGraphOptions()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
public GraphOptions.Builder getGraphOptionsBuilder()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
public GraphOptionsOrBuilder getGraphOptionsOrBuilder()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;
getGraphOptionsOrBuilder
in interface ConfigProtoOrBuilder
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;
getOperationTimeoutInMs
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setOperationTimeoutInMs(long value)
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;
public ConfigProto.Builder clearOperationTimeoutInMs()
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;
public boolean hasRpcOptions()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
hasRpcOptions
in interface ConfigProtoOrBuilder
public RPCOptions getRpcOptions()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
getRpcOptions
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setRpcOptions(RPCOptions value)
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
public ConfigProto.Builder setRpcOptions(RPCOptions.Builder builderForValue)
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
public ConfigProto.Builder mergeRpcOptions(RPCOptions value)
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
public ConfigProto.Builder clearRpcOptions()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
public RPCOptions.Builder getRpcOptionsBuilder()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
public RPCOptionsOrBuilder getRpcOptionsOrBuilder()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;
getRpcOptionsOrBuilder
in interface ConfigProtoOrBuilder
public boolean hasClusterDef()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
hasClusterDef
in interface ConfigProtoOrBuilder
public ClusterDef getClusterDef()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
getClusterDef
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setClusterDef(ClusterDef value)
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
public ConfigProto.Builder setClusterDef(ClusterDef.Builder builderForValue)
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
public ConfigProto.Builder mergeClusterDef(ClusterDef value)
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
public ConfigProto.Builder clearClusterDef()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
public ClusterDef.Builder getClusterDefBuilder()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
public ClusterDefOrBuilder getClusterDefOrBuilder()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;
getClusterDefOrBuilder
in interface ConfigProtoOrBuilder
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;
getIsolateSessionState
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setIsolateSessionState(boolean value)
If true, any resources such as Variables used in the session will not be shared with other sessions.
bool isolate_session_state = 15;
public ConfigProto.Builder clearIsolateSessionState()
If true, any resources such as Variables used in the session will not be shared with other sessions.
bool isolate_session_state = 15;
public boolean hasExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16;
hasExperimental
in interface ConfigProtoOrBuilder
public ConfigProto.Experimental getExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16;
getExperimental
in interface ConfigProtoOrBuilder
public ConfigProto.Builder setExperimental(ConfigProto.Experimental value)
.tensorflow.ConfigProto.Experimental experimental = 16;
public ConfigProto.Builder setExperimental(ConfigProto.Experimental.Builder builderForValue)
.tensorflow.ConfigProto.Experimental experimental = 16;
public ConfigProto.Builder mergeExperimental(ConfigProto.Experimental value)
.tensorflow.ConfigProto.Experimental experimental = 16;
public ConfigProto.Builder clearExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16;
public ConfigProto.Experimental.Builder getExperimentalBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16;
public ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16;
getExperimentalOrBuilder
in interface ConfigProtoOrBuilder
public final ConfigProto.Builder setUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)
setUnknownFields
in interface com.github.os72.protobuf351.Message.Builder
setUnknownFields
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
public final ConfigProto.Builder mergeUnknownFields(com.github.os72.protobuf351.UnknownFieldSet unknownFields)
mergeUnknownFields
in interface com.github.os72.protobuf351.Message.Builder
mergeUnknownFields
in class com.github.os72.protobuf351.GeneratedMessageV3.Builder<ConfigProto.Builder>
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