Package org.tensorflow.framework

Class ConfigProto

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
org.tensorflow.framework.ConfigProto
All Implemented Interfaces:
com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable, ConfigProtoOrBuilder
public final class ConfigProto extends com.google.protobuf.GeneratedMessageV3 implements ConfigProtoOrBuilder
 Session configuration parameters.
 The system picks appropriate values for fields that are not set.
Protobuf type tensorflow.ConfigProto
See Also:

  • Field Details

    • DEVICE_COUNT_FIELD_NUMBER

      public static final int DEVICE_COUNT_FIELD_NUMBER
      See Also:

    • INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER

      public static final int INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
      See Also:

    • INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER

      public static final int INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
      See Also:

    • USE_PER_SESSION_THREADS_FIELD_NUMBER

      public static final int USE_PER_SESSION_THREADS_FIELD_NUMBER
      See Also:

    • SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER

      public static final int SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
      See Also:

    • PLACEMENT_PERIOD_FIELD_NUMBER

      public static final int PLACEMENT_PERIOD_FIELD_NUMBER
      See Also:

    • DEVICE_FILTERS_FIELD_NUMBER

      public static final int DEVICE_FILTERS_FIELD_NUMBER
      See Also:

    • GPU_OPTIONS_FIELD_NUMBER

      public static final int GPU_OPTIONS_FIELD_NUMBER
      See Also:

    • PLUGGABLE_DEVICE_OPTIONS_FIELD_NUMBER

      public static final int PLUGGABLE_DEVICE_OPTIONS_FIELD_NUMBER
      See Also:

    • ALLOW_SOFT_PLACEMENT_FIELD_NUMBER

      public static final int ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
      See Also:

    • LOG_DEVICE_PLACEMENT_FIELD_NUMBER

      public static final int LOG_DEVICE_PLACEMENT_FIELD_NUMBER
      See Also:

    • GRAPH_OPTIONS_FIELD_NUMBER

      public static final int GRAPH_OPTIONS_FIELD_NUMBER
      See Also:

    • OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER

      public static final int OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
      See Also:

    • RPC_OPTIONS_FIELD_NUMBER

      public static final int RPC_OPTIONS_FIELD_NUMBER
      See Also:

    • CLUSTER_DEF_FIELD_NUMBER

      public static final int CLUSTER_DEF_FIELD_NUMBER
      See Also:

    • ISOLATE_SESSION_STATE_FIELD_NUMBER

      public static final int ISOLATE_SESSION_STATE_FIELD_NUMBER
      See Also:

    • SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER

      public static final int SHARE_CLUSTER_DEVICES_IN_SESSION_FIELD_NUMBER
      See Also:

    • EXPERIMENTAL_FIELD_NUMBER

      public static final int EXPERIMENTAL_FIELD_NUMBER
      See Also:

  • Method Details

    • newInstance

      protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
      Overrides:
      newInstance in class com.google.protobuf.GeneratedMessageV3

    • getDescriptor

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

    • internalGetMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3

    • getDeviceCountCount

      public int getDeviceCountCount()
      Description copied from interface: ConfigProtoOrBuilder
       Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
      map<string, int32> device_count = 1;
      Specified by:
      getDeviceCountCount in interface ConfigProtoOrBuilder

    • containsDeviceCount

      public boolean containsDeviceCount(String key)
       Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
      map<string, int32> device_count = 1;
      Specified by:
      containsDeviceCount in interface ConfigProtoOrBuilder

    • getDeviceCount

      @Deprecated public Map<String,Integer> getDeviceCount()
      Deprecated.
      Use getDeviceCountMap() instead.
      Specified by:
      getDeviceCount in interface ConfigProtoOrBuilder

    • getDeviceCountMap

      public Map<String,Integer> getDeviceCountMap()
       Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
      map<string, int32> device_count = 1;
      Specified by:
      getDeviceCountMap in interface ConfigProtoOrBuilder

    • getDeviceCountOrDefault

      public int getDeviceCountOrDefault(String key, int defaultValue)
       Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
      map<string, int32> device_count = 1;
      Specified by:
      getDeviceCountOrDefault in interface ConfigProtoOrBuilder

    • getDeviceCountOrThrow

      public int getDeviceCountOrThrow(String key)
       Map from device type name (e.g., "CPU" or "GPU" ) to maximum
 number of devices of that type to use.  If a particular device
 type is not found in the map, the system picks an appropriate
 number.
      map<string, int32> device_count = 1;
      Specified by:
      getDeviceCountOrThrow in interface ConfigProtoOrBuilder

    • getIntraOpParallelismThreads

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

 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 described 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.

    • 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.

    • getUsePerSessionThreads

      public boolean getUsePerSessionThreads()
       If true, use a new set of threads for this session rather than the global
 pool of threads. Only supported by direct sessions.

 If false, use the global threads created by the first session, or the
 per-session thread pools configured by session_inter_op_thread_pool.

 This option is deprecated. The same effect can be achieved by setting
 session_inter_op_thread_pool to have one element, whose num_threads equals
 inter_op_parallelism_threads.
      bool use_per_session_threads = 9;
      Specified by:
      getUsePerSessionThreads in interface ConfigProtoOrBuilder
      Returns:
      The usePerSessionThreads.

    • getSessionInterOpThreadPoolList

      public List<ThreadPoolOptionProto> getSessionInterOpThreadPoolList()
       This option is experimental - it may be replaced with a different mechanism
 in the future.

 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.

 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
      repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
      Specified by:
      getSessionInterOpThreadPoolList in interface ConfigProtoOrBuilder

    • getSessionInterOpThreadPoolOrBuilderList

      public List<? extends ThreadPoolOptionProtoOrBuilder> getSessionInterOpThreadPoolOrBuilderList()
       This option is experimental - it may be replaced with a different mechanism
 in the future.

 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.

 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
      repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
      Specified by:
      getSessionInterOpThreadPoolOrBuilderList in interface ConfigProtoOrBuilder

    • getSessionInterOpThreadPoolCount

      public int getSessionInterOpThreadPoolCount()
       This option is experimental - it may be replaced with a different mechanism
 in the future.

 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.

 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
      repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
      Specified by:
      getSessionInterOpThreadPoolCount in interface ConfigProtoOrBuilder

    • getSessionInterOpThreadPool

      public ThreadPoolOptionProto getSessionInterOpThreadPool(int index)
       This option is experimental - it may be replaced with a different mechanism
 in the future.

 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.

 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
      repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
      Specified by:
      getSessionInterOpThreadPool in interface ConfigProtoOrBuilder

    • getSessionInterOpThreadPoolOrBuilder

      public ThreadPoolOptionProtoOrBuilder getSessionInterOpThreadPoolOrBuilder(int index)
       This option is experimental - it may be replaced with a different mechanism
 in the future.

 Configures session thread pools. If this is configured, then RunOptions for
 a Run call can select the thread pool to use.

 The intended use is for when some session invocations need to run in a
 background pool limited to a small number of threads:
 - For example, a session may be configured to have one large pool (for
 regular compute) and one small pool (for periodic, low priority work);
 using the small pool is currently the mechanism for limiting the inter-op
 parallelism of the low priority work.  Note that it does not limit the
 parallelism of work spawned by a single op kernel implementation.
 - Using this setting is normally not needed in training, but may help some
 serving use cases.
 - It is also generally recommended to set the global_name field of this
 proto, to avoid creating multiple large pools. It is typically better to
 run the non-low-priority work, even across sessions, in a single large
 pool.
      repeated .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;
      Specified by:
      getSessionInterOpThreadPoolOrBuilder in interface ConfigProtoOrBuilder

    • getPlacementPeriod

      public int getPlacementPeriod()
       Assignment of Nodes to Devices is recomputed every placement_period
 steps until the system warms up (at which point the recomputation
 typically slows down automatically).
      int32 placement_period = 3;
      Specified by:
      getPlacementPeriod in interface ConfigProtoOrBuilder
      Returns:
      The placementPeriod.

    • getDeviceFiltersList

      public 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 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.

    • hasGpuOptions

      public boolean hasGpuOptions()
       Options that apply to all GPUs.
      .tensorflow.GPUOptions gpu_options = 6;
      Specified by:
      hasGpuOptions in interface ConfigProtoOrBuilder
      Returns:
      Whether the gpuOptions field is set.

    • getGpuOptions

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

    • getGpuOptionsOrBuilder

      public GPUOptionsOrBuilder getGpuOptionsOrBuilder()
       Options that apply to all GPUs.
      .tensorflow.GPUOptions gpu_options = 6;
      Specified by:
      getGpuOptionsOrBuilder in interface ConfigProtoOrBuilder

    • hasPluggableDeviceOptions

      public boolean hasPluggableDeviceOptions()
       Options that apply to pluggable devices.
      .tensorflow.GPUOptions pluggable_device_options = 18;
      Specified by:
      hasPluggableDeviceOptions in interface ConfigProtoOrBuilder
      Returns:
      Whether the pluggableDeviceOptions field is set.

    • getPluggableDeviceOptions

      public GPUOptions getPluggableDeviceOptions()
       Options that apply to pluggable devices.
      .tensorflow.GPUOptions pluggable_device_options = 18;
      Specified by:
      getPluggableDeviceOptions in interface ConfigProtoOrBuilder
      Returns:
      The pluggableDeviceOptions.

    • getPluggableDeviceOptionsOrBuilder

      public GPUOptionsOrBuilder getPluggableDeviceOptionsOrBuilder()
       Options that apply to pluggable devices.
      .tensorflow.GPUOptions pluggable_device_options = 18;
      Specified by:
      getPluggableDeviceOptionsOrBuilder in interface ConfigProtoOrBuilder

    • getAllowSoftPlacement

      public boolean getAllowSoftPlacement()
       Whether soft placement is allowed. If allow_soft_placement is true,
 an op will be placed on CPU if
   1. there's no GPU implementation for the OP
 or
   2. no GPU devices are known or registered
 or
   3. need to co-locate with reftype input(s) which are from CPU.
      bool allow_soft_placement = 7;
      Specified by:
      getAllowSoftPlacement in interface ConfigProtoOrBuilder
      Returns:
      The allowSoftPlacement.

    • getLogDevicePlacement

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

    • hasGraphOptions

      public boolean hasGraphOptions()
       Options that apply to all graphs.
      .tensorflow.GraphOptions graph_options = 10;
      Specified by:
      hasGraphOptions in interface ConfigProtoOrBuilder
      Returns:
      Whether the graphOptions field is set.

    • getGraphOptions

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

    • getGraphOptionsOrBuilder

      public GraphOptionsOrBuilder getGraphOptionsOrBuilder()
       Options that apply to all graphs.
      .tensorflow.GraphOptions graph_options = 10;
      Specified by:
      getGraphOptionsOrBuilder in interface ConfigProtoOrBuilder

    • getOperationTimeoutInMs

      public long getOperationTimeoutInMs()
       Global timeout for all blocking operations in this session.  If non-zero,
 and not overridden on a per-operation basis, this value will be used as the
 deadline for all blocking operations.
      int64 operation_timeout_in_ms = 11;
      Specified by:
      getOperationTimeoutInMs in interface ConfigProtoOrBuilder
      Returns:
      The operationTimeoutInMs.

    • hasRpcOptions

      public boolean hasRpcOptions()
       Options that apply when this session uses the distributed runtime.
      .tensorflow.RPCOptions rpc_options = 13;
      Specified by:
      hasRpcOptions in interface ConfigProtoOrBuilder
      Returns:
      Whether the rpcOptions field is set.

    • getRpcOptions

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

    • getRpcOptionsOrBuilder

      public RpcOptions.RPCOptionsOrBuilder getRpcOptionsOrBuilder()
       Options that apply when this session uses the distributed runtime.
      .tensorflow.RPCOptions rpc_options = 13;
      Specified by:
      getRpcOptionsOrBuilder in interface ConfigProtoOrBuilder

    • hasClusterDef

      public boolean hasClusterDef()
       Optional list of all workers to use in this session.
      .tensorflow.ClusterDef cluster_def = 14;
      Specified by:
      hasClusterDef in interface ConfigProtoOrBuilder
      Returns:
      Whether the clusterDef field is set.

    • getClusterDef

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

    • getClusterDefOrBuilder

      public ClusterDefOrBuilder getClusterDefOrBuilder()
       Optional list of all workers to use in this session.
      .tensorflow.ClusterDef cluster_def = 14;
      Specified by:
      getClusterDefOrBuilder in interface ConfigProtoOrBuilder

    • getIsolateSessionState

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

    • 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.

    • hasExperimental

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

    • getExperimental

      public ConfigProto.Experimental getExperimental()
      .tensorflow.ConfigProto.Experimental experimental = 16;
      Specified by:
      getExperimental in interface ConfigProtoOrBuilder
      Returns:
      The experimental.

    • getExperimentalOrBuilder

      public ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder()
      .tensorflow.ConfigProto.Experimental experimental = 16;
      Specified by:
      getExperimentalOrBuilder in interface ConfigProtoOrBuilder

    • isInitialized

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

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessageV3
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessageV3

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static ConfigProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static ConfigProto parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ConfigProto parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static ConfigProto parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static ConfigProto parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ConfigProto parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static ConfigProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

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

    • newBuilder

      public static ConfigProto.Builder newBuilder()

    • newBuilder

      public static ConfigProto.Builder newBuilder(ConfigProto prototype)

    • toBuilder

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

    • newBuilderForType

      protected ConfigProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
      Specified by:
      newBuilderForType in class com.google.protobuf.GeneratedMessageV3

    • getDefaultInstance

      public static ConfigProto getDefaultInstance()

    • parser

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

    • getParserForType

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

    • getDefaultInstanceForType

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