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| Modifier and Type | Class and Description |
|---|---|
static class |
ConfigProto.Builder
Session configuration parameters.
|
static class |
ConfigProto.Experimental
Everything inside Experimental is subject to change and is not subject
to API stability guarantees in
https://www.tensorflow.org/guide/version_compat.
|
static interface |
ConfigProto.ExperimentalOrBuilder |
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter| Modifier and Type | Field and Description |
|---|---|
static int |
ALLOW_SOFT_PLACEMENT_FIELD_NUMBER |
static int |
CLUSTER_DEF_FIELD_NUMBER |
static int |
DEVICE_COUNT_FIELD_NUMBER |
static int |
DEVICE_FILTERS_FIELD_NUMBER |
static int |
EXPERIMENTAL_FIELD_NUMBER |
static int |
GPU_OPTIONS_FIELD_NUMBER |
static int |
GRAPH_OPTIONS_FIELD_NUMBER |
static int |
INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER |
static int |
INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER |
static int |
ISOLATE_SESSION_STATE_FIELD_NUMBER |
static int |
LOG_DEVICE_PLACEMENT_FIELD_NUMBER |
static int |
OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER |
static int |
PLACEMENT_PERIOD_FIELD_NUMBER |
static int |
RPC_OPTIONS_FIELD_NUMBER |
static int |
SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER |
static int |
USE_PER_SESSION_THREADS_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
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.
|
boolean |
equals(java.lang.Object obj) |
boolean |
getAllowSoftPlacement()
Whether soft placement is allowed.
|
ClusterDef |
getClusterDef()
Optional list of all workers to use in this session.
|
ClusterDefOrBuilder |
getClusterDefOrBuilder()
Optional list of all workers to use in this session.
|
static ConfigProto |
getDefaultInstance() |
ConfigProto |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
java.util.Map<java.lang.String,java.lang.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.
|
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.
|
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.
|
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.
|
java.lang.String |
getDeviceFilters(int index)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
com.google.protobuf.ByteString |
getDeviceFiltersBytes(int index)
When any filters are present sessions will ignore all devices which do not
match the filters.
|
int |
getDeviceFiltersCount()
When any filters are present sessions will ignore all devices which do not
match the filters.
|
com.google.protobuf.ProtocolStringList |
getDeviceFiltersList()
When any filters are present sessions will ignore all devices which do not
match the filters.
|
ConfigProto.Experimental |
getExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16; |
ConfigProto.ExperimentalOrBuilder |
getExperimentalOrBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16; |
GPUOptions |
getGpuOptions()
Options that apply to all GPUs.
|
GPUOptionsOrBuilder |
getGpuOptionsOrBuilder()
Options that apply to all GPUs.
|
GraphOptions |
getGraphOptions()
Options that apply to all graphs.
|
GraphOptionsOrBuilder |
getGraphOptionsOrBuilder()
Options that apply to all graphs.
|
int |
getInterOpParallelismThreads()
Nodes that perform blocking operations are enqueued on a pool of
inter_op_parallelism_threads available in each process.
|
int |
getIntraOpParallelismThreads()
The execution of an individual op (for some op types) can be
parallelized on a pool of intra_op_parallelism_threads.
|
boolean |
getIsolateSessionState()
If true, any resources such as Variables used in the session will not be
shared with other sessions.
|
boolean |
getLogDevicePlacement()
Whether device placements should be logged.
|
long |
getOperationTimeoutInMs()
Global timeout for all blocking operations in this session.
|
com.google.protobuf.Parser<ConfigProto> |
getParserForType() |
int |
getPlacementPeriod()
Assignment of Nodes to Devices is recomputed every placement_period
steps until the system warms up (at which point the recomputation
typically slows down automatically).
|
RPCOptions |
getRpcOptions()
Options that apply when this session uses the distributed runtime.
|
RPCOptionsOrBuilder |
getRpcOptionsOrBuilder()
Options that apply when this session uses the distributed runtime.
|
int |
getSerializedSize() |
ThreadPoolOptionProto |
getSessionInterOpThreadPool(int index)
This option is experimental - it may be replaced with a different mechanism
in the future.
|
int |
getSessionInterOpThreadPoolCount()
This option is experimental - it may be replaced with a different mechanism
in the future.
|
java.util.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.
|
java.util.List<? extends ThreadPoolOptionProtoOrBuilder> |
getSessionInterOpThreadPoolOrBuilderList()
This option is experimental - it may be replaced with a different mechanism
in the future.
|
com.google.protobuf.UnknownFieldSet |
getUnknownFields() |
boolean |
getUsePerSessionThreads()
If true, use a new set of threads for this session rather than the global
pool of threads.
|
boolean |
hasClusterDef()
Optional list of all workers to use in this session.
|
boolean |
hasExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16; |
boolean |
hasGpuOptions()
Options that apply to all GPUs.
|
boolean |
hasGraphOptions()
Options that apply to all graphs.
|
int |
hashCode() |
boolean |
hasRpcOptions()
Options that apply when this session uses the distributed runtime.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapField |
internalGetMapField(int number) |
boolean |
isInitialized() |
static ConfigProto.Builder |
newBuilder() |
static ConfigProto.Builder |
newBuilder(ConfigProto prototype) |
ConfigProto.Builder |
newBuilderForType() |
protected ConfigProto.Builder |
newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected java.lang.Object |
newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static ConfigProto |
parseDelimitedFrom(java.io.InputStream input) |
static ConfigProto |
parseDelimitedFrom(java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ConfigProto |
parseFrom(byte[] data) |
static ConfigProto |
parseFrom(byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ConfigProto |
parseFrom(java.nio.ByteBuffer data) |
static ConfigProto |
parseFrom(java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ConfigProto |
parseFrom(com.google.protobuf.ByteString data) |
static ConfigProto |
parseFrom(com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ConfigProto |
parseFrom(com.google.protobuf.CodedInputStream input) |
static ConfigProto |
parseFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static ConfigProto |
parseFrom(java.io.InputStream input) |
static ConfigProto |
parseFrom(java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
static com.google.protobuf.Parser<ConfigProto> |
parser() |
ConfigProto.Builder |
toBuilder() |
void |
writeTo(com.google.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int DEVICE_COUNT_FIELD_NUMBER
public static final int INTRA_OP_PARALLELISM_THREADS_FIELD_NUMBER
public static final int INTER_OP_PARALLELISM_THREADS_FIELD_NUMBER
public static final int USE_PER_SESSION_THREADS_FIELD_NUMBER
public static final int SESSION_INTER_OP_THREAD_POOL_FIELD_NUMBER
public static final int PLACEMENT_PERIOD_FIELD_NUMBER
public static final int DEVICE_FILTERS_FIELD_NUMBER
public static final int GPU_OPTIONS_FIELD_NUMBER
public static final int ALLOW_SOFT_PLACEMENT_FIELD_NUMBER
public static final int LOG_DEVICE_PLACEMENT_FIELD_NUMBER
public static final int GRAPH_OPTIONS_FIELD_NUMBER
public static final int OPERATION_TIMEOUT_IN_MS_FIELD_NUMBER
public static final int RPC_OPTIONS_FIELD_NUMBER
public static final int CLUSTER_DEF_FIELD_NUMBER
public static final int ISOLATE_SESSION_STATE_FIELD_NUMBER
public static final int EXPERIMENTAL_FIELD_NUMBER
protected java.lang.Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class com.google.protobuf.GeneratedMessageV3public final com.google.protobuf.UnknownFieldSet getUnknownFields()
getUnknownFields in interface com.google.protobuf.MessageOrBuildergetUnknownFields in class com.google.protobuf.GeneratedMessageV3public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapField internalGetMapField(int number)
internalGetMapField in class com.google.protobuf.GeneratedMessageV3protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3public int getDeviceCountCount()
ConfigProtoOrBuilderMap 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 ConfigProtoOrBuilderpublic 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;containsDeviceCount in interface ConfigProtoOrBuilder@Deprecated public java.util.Map<java.lang.String,java.lang.Integer> getDeviceCount()
getDeviceCountMap() instead.getDeviceCount in interface ConfigProtoOrBuilderpublic 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;getDeviceCountMap in interface ConfigProtoOrBuilderpublic 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;getDeviceCountOrDefault in interface ConfigProtoOrBuilderpublic 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;getDeviceCountOrThrow in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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;getInterOpParallelismThreads in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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 .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;getSessionInterOpThreadPoolList in interface ConfigProtoOrBuilderpublic 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 .tensorflow.ThreadPoolOptionProto session_inter_op_thread_pool = 12;getSessionInterOpThreadPoolOrBuilderList in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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;getDeviceFiltersList in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic 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;getDeviceFilters in interface ConfigProtoOrBuilderindex - The index of the element to return.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;getDeviceFiltersBytes in interface ConfigProtoOrBuilderindex - The index of the value to return.public boolean hasGpuOptions()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;hasGpuOptions in interface ConfigProtoOrBuilderpublic GPUOptions getGpuOptions()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;getGpuOptions in interface ConfigProtoOrBuilderpublic GPUOptionsOrBuilder getGpuOptionsOrBuilder()
Options that apply to all GPUs.
.tensorflow.GPUOptions gpu_options = 6;getGpuOptionsOrBuilder in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic boolean getLogDevicePlacement()
Whether device placements should be logged.
bool log_device_placement = 8;getLogDevicePlacement in interface ConfigProtoOrBuilderpublic boolean hasGraphOptions()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;hasGraphOptions in interface ConfigProtoOrBuilderpublic GraphOptions getGraphOptions()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;getGraphOptions in interface ConfigProtoOrBuilderpublic GraphOptionsOrBuilder getGraphOptionsOrBuilder()
Options that apply to all graphs.
.tensorflow.GraphOptions graph_options = 10;getGraphOptionsOrBuilder in interface ConfigProtoOrBuilderpublic 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 ConfigProtoOrBuilderpublic boolean hasRpcOptions()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;hasRpcOptions in interface ConfigProtoOrBuilderpublic RPCOptions getRpcOptions()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;getRpcOptions in interface ConfigProtoOrBuilderpublic RPCOptionsOrBuilder getRpcOptionsOrBuilder()
Options that apply when this session uses the distributed runtime.
.tensorflow.RPCOptions rpc_options = 13;getRpcOptionsOrBuilder in interface ConfigProtoOrBuilderpublic boolean hasClusterDef()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;hasClusterDef in interface ConfigProtoOrBuilderpublic ClusterDef getClusterDef()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;getClusterDef in interface ConfigProtoOrBuilderpublic ClusterDefOrBuilder getClusterDefOrBuilder()
Optional list of all workers to use in this session.
.tensorflow.ClusterDef cluster_def = 14;getClusterDefOrBuilder in interface ConfigProtoOrBuilderpublic 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;getIsolateSessionState in interface ConfigProtoOrBuilderpublic boolean hasExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16;hasExperimental in interface ConfigProtoOrBuilderpublic ConfigProto.Experimental getExperimental()
.tensorflow.ConfigProto.Experimental experimental = 16;getExperimental in interface ConfigProtoOrBuilderpublic ConfigProto.ExperimentalOrBuilder getExperimentalOrBuilder()
.tensorflow.ConfigProto.Experimental experimental = 16;getExperimentalOrBuilder in interface ConfigProtoOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3public void writeTo(com.google.protobuf.CodedOutputStream output)
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writeTo in interface com.google.protobuf.MessageLitewriteTo in class com.google.protobuf.GeneratedMessageV3java.io.IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.google.protobuf.MessageLitegetSerializedSize in class com.google.protobuf.GeneratedMessageV3public boolean equals(java.lang.Object obj)
equals in interface com.google.protobuf.Messageequals in class com.google.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface com.google.protobuf.MessagehashCode in class com.google.protobuf.AbstractMessagepublic static ConfigProto parseFrom(java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
com.google.protobuf.InvalidProtocolBufferExceptionpublic static ConfigProto parseFrom(java.io.InputStream input) throws java.io.IOException
java.io.IOExceptionpublic static ConfigProto parseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOExceptionpublic static ConfigProto parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException
java.io.IOExceptionpublic static ConfigProto parseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOExceptionpublic static ConfigProto parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException
java.io.IOExceptionpublic static ConfigProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
java.io.IOExceptionpublic ConfigProto.Builder newBuilderForType()
newBuilderForType in interface com.google.protobuf.MessagenewBuilderForType in interface com.google.protobuf.MessageLitepublic static ConfigProto.Builder newBuilder()
public static ConfigProto.Builder newBuilder(ConfigProto prototype)
public ConfigProto.Builder toBuilder()
toBuilder in interface com.google.protobuf.MessagetoBuilder in interface com.google.protobuf.MessageLiteprotected ConfigProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.google.protobuf.GeneratedMessageV3public static ConfigProto getDefaultInstance()
public static com.google.protobuf.Parser<ConfigProto> parser()
public com.google.protobuf.Parser<ConfigProto> getParserForType()
getParserForType in interface com.google.protobuf.MessagegetParserForType in interface com.google.protobuf.MessageLitegetParserForType in class com.google.protobuf.GeneratedMessageV3public ConfigProto getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder