Package org.platanios.tensorflow.proto

Class ConfigProto.Builder

  • All Implemented Interfaces:
    com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable, ConfigProtoOrBuilder
    Enclosing class:
    ConfigProto
    public static final class ConfigProto.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>
implements ConfigProtoOrBuilder
     Session configuration parameters.
 The system picks appropriate values for fields that are not set.
    Protobuf type org.platanios.tensorflow.proto.ConfigProto

    • Method Detail

      • getDescriptor

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

      • internalGetMapField

        protected com.google.protobuf.MapField internalGetMapField​(int number)
        Overrides:
        internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • internalGetMutableMapField

        protected com.google.protobuf.MapField internalGetMutableMapField​(int number)
        Overrides:
        internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • clear

        public ConfigProto.Builder clear()
        Specified by:
        clear in interface com.google.protobuf.Message.Builder
        Specified by:
        clear in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clear in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • getDefaultInstanceForType

        public ConfigProto getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public ConfigProto build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public ConfigProto buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • clone

        public ConfigProto.Builder clone()
        Specified by:
        clone in interface com.google.protobuf.Message.Builder
        Specified by:
        clone in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        clone in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • setField

        public ConfigProto.Builder setField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                    java.lang.Object value)
        Specified by:
        setField in interface com.google.protobuf.Message.Builder
        Overrides:
        setField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • clearField

        public ConfigProto.Builder clearField​(com.google.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface com.google.protobuf.Message.Builder
        Overrides:
        clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • clearOneof

        public ConfigProto.Builder clearOneof​(com.google.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface com.google.protobuf.Message.Builder
        Overrides:
        clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • setRepeatedField

        public ConfigProto.Builder setRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            int index,
                                            java.lang.Object value)
        Specified by:
        setRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • addRepeatedField

        public ConfigProto.Builder addRepeatedField​(com.google.protobuf.Descriptors.FieldDescriptor field,
                                            java.lang.Object value)
        Specified by:
        addRepeatedField in interface com.google.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • mergeFrom

        public ConfigProto.Builder mergeFrom​(com.google.protobuf.Message other)
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ConfigProto.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • mergeFrom

        public ConfigProto.Builder mergeFrom​(com.google.protobuf.CodedInputStream input,
                                     com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                              throws java.io.IOException
        Specified by:
        mergeFrom in interface com.google.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface com.google.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ConfigProto.Builder>
        Throws:
        java.io.IOException

      • 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​(java.lang.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

      • getDeviceCountMap

        public java.util.Map<java.lang.String,​java.lang.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​(java.lang.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​(java.lang.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

      • removeDeviceCount

        public ConfigProto.Builder removeDeviceCount​(java.lang.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;

      • getMutableDeviceCount

        @Deprecated
public java.util.Map<java.lang.String,​java.lang.Integer> getMutableDeviceCount()
        Deprecated.
        Use alternate mutation accessors instead.

      • putDeviceCount

        public ConfigProto.Builder putDeviceCount​(java.lang.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;

      • putAllDeviceCount

        public ConfigProto.Builder putAllDeviceCount​(java.util.Map<java.lang.String,​java.lang.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;

      • 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.
 If you create an ordinary session, e.g., from Python or C++,
 then there is exactly one intra op thread pool per process.
 The first session created determines the number of threads in this pool.
 All subsequent sessions reuse/share this one global pool.
 There are notable exceptions to the default behavior describe above:
 1. There is an environment variable  for overriding this thread pool,
    named TF_OVERRIDE_GLOBAL_THREADPOOL.
 2. When connecting to a server, such as a remote `tf.train.Server`
    instance, then this option will be ignored altogether.
        int32 intra_op_parallelism_threads = 2;
        Specified by:
        getIntraOpParallelismThreads in interface ConfigProtoOrBuilder
        Returns:
        The intraOpParallelismThreads.

      • setIntraOpParallelismThreads

        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.
 If you create an ordinary session, e.g., from Python or C++,
 then there is exactly one intra op thread pool per process.
 The first session created determines the number of threads in this pool.
 All subsequent sessions reuse/share this one global pool.
 There are notable exceptions to the default behavior describe above:
 1. There is an environment variable  for overriding this thread pool,
    named TF_OVERRIDE_GLOBAL_THREADPOOL.
 2. When connecting to a server, such as a remote `tf.train.Server`
    instance, then this option will be ignored altogether.
        int32 intra_op_parallelism_threads = 2;
        Parameters:
        value - The intraOpParallelismThreads to set.
        Returns:
        This builder for chaining.

      • clearIntraOpParallelismThreads

        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.
 If you create an ordinary session, e.g., from Python or C++,
 then there is exactly one intra op thread pool per process.
 The first session created determines the number of threads in this pool.
 All subsequent sessions reuse/share this one global pool.
 There are notable exceptions to the default behavior describe above:
 1. There is an environment variable  for overriding this thread pool,
    named TF_OVERRIDE_GLOBAL_THREADPOOL.
 2. When connecting to a server, such as a remote `tf.train.Server`
    instance, then this option will be ignored altogether.
        int32 intra_op_parallelism_threads = 2;
        Returns:
        This builder for chaining.

      • 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.
 Negative means all operations are performed in caller's thread.
 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.

      • setInterOpParallelismThreads

        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.
 Negative means all operations are performed in caller's thread.
 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;
        Parameters:
        value - The interOpParallelismThreads to set.
        Returns:
        This builder for chaining.

      • clearInterOpParallelismThreads

        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.
 Negative means all operations are performed in caller's thread.
 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;
        Returns:
        This builder for chaining.

      • 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.

      • setUsePerSessionThreads

        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;
        Parameters:
        value - The usePerSessionThreads to set.
        Returns:
        This builder for chaining.

      • clearUsePerSessionThreads

        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;
        Returns:
        This builder for chaining.

      • getSessionInterOpThreadPoolList

        public java.util.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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
        Specified by:
        getSessionInterOpThreadPoolList 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 .org.platanios.tensorflow.proto.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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
        Specified by:
        getSessionInterOpThreadPool in interface ConfigProtoOrBuilder

      • setSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • setSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addAllSessionInterOpThreadPool

        public ConfigProto.Builder addAllSessionInterOpThreadPool​(java.lang.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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • clearSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • removeSessionInterOpThreadPool

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • getSessionInterOpThreadPoolBuilder

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • 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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
        Specified by:
        getSessionInterOpThreadPoolOrBuilder in interface ConfigProtoOrBuilder

      • getSessionInterOpThreadPoolOrBuilderList

        public java.util.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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
        Specified by:
        getSessionInterOpThreadPoolOrBuilderList in interface ConfigProtoOrBuilder

      • addSessionInterOpThreadPoolBuilder

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • addSessionInterOpThreadPoolBuilder

        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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • getSessionInterOpThreadPoolBuilderList

        public java.util.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 .org.platanios.tensorflow.proto.ThreadPoolOptionProto session_inter_op_thread_pool = 12;

      • 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.

      • setPlacementPeriod

        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;
        Parameters:
        value - The placementPeriod to set.
        Returns:
        This builder for chaining.

      • clearPlacementPeriod

        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;
        Returns:
        This builder for chaining.

      • getDeviceFiltersList

        public com.google.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 java.lang.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 com.google.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.

      • setDeviceFilters

        public ConfigProto.Builder setDeviceFilters​(int index,
                                            java.lang.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;
        Parameters:
        index - The index to set the value at.
        value - The deviceFilters to set.
        Returns:
        This builder for chaining.

      • addDeviceFilters

        public ConfigProto.Builder addDeviceFilters​(java.lang.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;
        Parameters:
        value - The deviceFilters to add.
        Returns:
        This builder for chaining.

      • addAllDeviceFilters

        public ConfigProto.Builder addAllDeviceFilters​(java.lang.Iterable<java.lang.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;
        Parameters:
        values - The deviceFilters to add.
        Returns:
        This builder for chaining.

      • clearDeviceFilters

        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;
        Returns:
        This builder for chaining.

      • addDeviceFiltersBytes

        public ConfigProto.Builder addDeviceFiltersBytes​(com.google.protobuf.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;
        Parameters:
        value - The bytes of the deviceFilters to add.
        Returns:
        This builder for chaining.

      • hasGpuOptions

        public boolean hasGpuOptions()
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.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.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;
        Specified by:
        getGpuOptions in interface ConfigProtoOrBuilder
        Returns:
        The gpuOptions.

      • setGpuOptions

        public ConfigProto.Builder setGpuOptions​(GPUOptions value)
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;

      • setGpuOptions

        public ConfigProto.Builder setGpuOptions​(GPUOptions.Builder builderForValue)
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;

      • mergeGpuOptions

        public ConfigProto.Builder mergeGpuOptions​(GPUOptions value)
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;

      • clearGpuOptions

        public ConfigProto.Builder clearGpuOptions()
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;

      • getGpuOptionsBuilder

        public GPUOptions.Builder getGpuOptionsBuilder()
         Options that apply to all GPUs.
        .org.platanios.tensorflow.proto.GPUOptions gpu_options = 6;

      • 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.

      • setAllowSoftPlacement

        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;
        Parameters:
        value - The allowSoftPlacement to set.
        Returns:
        This builder for chaining.

      • clearAllowSoftPlacement

        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;
        Returns:
        This builder for chaining.

      • getLogDevicePlacement

        public boolean getLogDevicePlacement()
         Whether device placements should be logged.
        bool log_device_placement = 8;
        Specified by:
        getLogDevicePlacement in interface ConfigProtoOrBuilder
        Returns:
        The logDevicePlacement.

      • setLogDevicePlacement

        public ConfigProto.Builder setLogDevicePlacement​(boolean value)
         Whether device placements should be logged.
        bool log_device_placement = 8;
        Parameters:
        value - The logDevicePlacement to set.
        Returns:
        This builder for chaining.

      • clearLogDevicePlacement

        public ConfigProto.Builder clearLogDevicePlacement()
         Whether device placements should be logged.
        bool log_device_placement = 8;
        Returns:
        This builder for chaining.

      • hasGraphOptions

        public boolean hasGraphOptions()
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.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.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;
        Specified by:
        getGraphOptions in interface ConfigProtoOrBuilder
        Returns:
        The graphOptions.

      • setGraphOptions

        public ConfigProto.Builder setGraphOptions​(GraphOptions value)
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;

      • setGraphOptions

        public ConfigProto.Builder setGraphOptions​(GraphOptions.Builder builderForValue)
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;

      • mergeGraphOptions

        public ConfigProto.Builder mergeGraphOptions​(GraphOptions value)
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;

      • clearGraphOptions

        public ConfigProto.Builder clearGraphOptions()
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;

      • getGraphOptionsBuilder

        public GraphOptions.Builder getGraphOptionsBuilder()
         Options that apply to all graphs.
        .org.platanios.tensorflow.proto.GraphOptions graph_options = 10;

      • 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.

      • setOperationTimeoutInMs

        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;
        Parameters:
        value - The operationTimeoutInMs to set.
        Returns:
        This builder for chaining.

      • clearOperationTimeoutInMs

        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;
        Returns:
        This builder for chaining.

      • hasRpcOptions

        public boolean hasRpcOptions()
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.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.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;
        Specified by:
        getRpcOptions in interface ConfigProtoOrBuilder
        Returns:
        The rpcOptions.

      • setRpcOptions

        public ConfigProto.Builder setRpcOptions​(RPCOptions value)
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;

      • setRpcOptions

        public ConfigProto.Builder setRpcOptions​(RPCOptions.Builder builderForValue)
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;

      • mergeRpcOptions

        public ConfigProto.Builder mergeRpcOptions​(RPCOptions value)
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;

      • clearRpcOptions

        public ConfigProto.Builder clearRpcOptions()
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;

      • getRpcOptionsBuilder

        public RPCOptions.Builder getRpcOptionsBuilder()
         Options that apply when this session uses the distributed runtime.
        .org.platanios.tensorflow.proto.RPCOptions rpc_options = 13;

      • hasClusterDef

        public boolean hasClusterDef()
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.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.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;
        Specified by:
        getClusterDef in interface ConfigProtoOrBuilder
        Returns:
        The clusterDef.

      • setClusterDef

        public ConfigProto.Builder setClusterDef​(ClusterDef value)
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;

      • setClusterDef

        public ConfigProto.Builder setClusterDef​(ClusterDef.Builder builderForValue)
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;

      • mergeClusterDef

        public ConfigProto.Builder mergeClusterDef​(ClusterDef value)
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;

      • clearClusterDef

        public ConfigProto.Builder clearClusterDef()
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;

      • getClusterDefBuilder

        public ClusterDef.Builder getClusterDefBuilder()
         Optional list of all workers to use in this session.
        .org.platanios.tensorflow.proto.ClusterDef cluster_def = 14;

      • getIsolateSessionState

        public boolean getIsolateSessionState()
         If true, any resources such as Variables used in the session will not be
 shared with other sessions. However, when clusterspec propagation is
 enabled, this field is ignored and sessions are always isolated.
        bool isolate_session_state = 15;
        Specified by:
        getIsolateSessionState in interface ConfigProtoOrBuilder
        Returns:
        The isolateSessionState.

      • setIsolateSessionState

        public ConfigProto.Builder setIsolateSessionState​(boolean value)
         If true, any resources such as Variables used in the session will not be
 shared with other sessions. However, when clusterspec propagation is
 enabled, this field is ignored and sessions are always isolated.
        bool isolate_session_state = 15;
        Parameters:
        value - The isolateSessionState to set.
        Returns:
        This builder for chaining.

      • clearIsolateSessionState

        public ConfigProto.Builder clearIsolateSessionState()
         If true, any resources such as Variables used in the session will not be
 shared with other sessions. However, when clusterspec propagation is
 enabled, this field is ignored and sessions are always isolated.
        bool isolate_session_state = 15;
        Returns:
        This builder for chaining.

      • getShareClusterDevicesInSession

        public boolean getShareClusterDevicesInSession()
         When true, WorkerSessions are created with device attributes from the
 full cluster.
 This is helpful when a worker wants to partition a graph
 (for example during a PartitionedCallOp).
        bool share_cluster_devices_in_session = 17;
        Specified by:
        getShareClusterDevicesInSession in interface ConfigProtoOrBuilder
        Returns:
        The shareClusterDevicesInSession.

      • setShareClusterDevicesInSession

        public ConfigProto.Builder setShareClusterDevicesInSession​(boolean value)
         When true, WorkerSessions are created with device attributes from the
 full cluster.
 This is helpful when a worker wants to partition a graph
 (for example during a PartitionedCallOp).
        bool share_cluster_devices_in_session = 17;
        Parameters:
        value - The shareClusterDevicesInSession to set.
        Returns:
        This builder for chaining.

      • clearShareClusterDevicesInSession

        public ConfigProto.Builder clearShareClusterDevicesInSession()
         When true, WorkerSessions are created with device attributes from the
 full cluster.
 This is helpful when a worker wants to partition a graph
 (for example during a PartitionedCallOp).
        bool share_cluster_devices_in_session = 17;
        Returns:
        This builder for chaining.

      • hasExperimental

        public boolean hasExperimental()
        .org.platanios.tensorflow.proto.ConfigProto.Experimental experimental = 16;
        Specified by:
        hasExperimental in interface ConfigProtoOrBuilder
        Returns:
        Whether the experimental field is set.

      • clearExperimental

        public ConfigProto.Builder clearExperimental()
        .org.platanios.tensorflow.proto.ConfigProto.Experimental experimental = 16;

      • getExperimentalBuilder

        public ConfigProto.Experimental.Builder getExperimentalBuilder()
        .org.platanios.tensorflow.proto.ConfigProto.Experimental experimental = 16;

      • setUnknownFields

        public final ConfigProto.Builder setUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>

      • mergeUnknownFields

        public final ConfigProto.Builder mergeUnknownFields​(com.google.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface com.google.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ConfigProto.Builder>