org.tensorflow.framework.ConfigProtos Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of proto Show documentation
Show all versions of proto Show documentation
Java API for TensorFlow protocol buffers.
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/config.proto
package org.tensorflow.framework;
public final class ConfigProtos {
private ConfigProtos() {}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
com.google.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(com.google.protobuf.ExtensionRegistryLite) registry);
}
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GPUOptions_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_OptimizerOptions_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_OptimizerOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GraphOptions_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GraphOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ThreadPoolOptionProto_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RPCOptions_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RPCOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ConfigProto_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_DeviceCountEntry_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ConfigProto_DeviceCountEntry_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunOptions_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RunOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunMetadata_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RunMetadata_fieldAccessorTable;
public static com.google.protobuf.Descriptors.FileDescriptor
getDescriptor() {
return descriptor;
}
private static com.google.protobuf.Descriptors.FileDescriptor
descriptor;
static {
java.lang.String[] descriptorData = {
"\n%tensorflow/core/protobuf/config.proto\022" +
"\ntensorflow\032*tensorflow/core/framework/c" +
"ost_graph.proto\032%tensorflow/core/framewo" +
"rk/graph.proto\032*tensorflow/core/framewor" +
"k/step_stats.proto\032$tensorflow/core/prot" +
"obuf/debug.proto\032.tensorflow/core/protob" +
"uf/rewriter_config.proto\"\353\001\n\nGPUOptions\022" +
"\'\n\037per_process_gpu_memory_fraction\030\001 \001(\001" +
"\022\026\n\016allocator_type\030\002 \001(\t\022\037\n\027deferred_del" +
"etion_bytes\030\003 \001(\003\022\024\n\014allow_growth\030\004 \001(\010\022",
"\033\n\023visible_device_list\030\005 \001(\t\022\"\n\032polling_" +
"active_delay_usecs\030\006 \001(\005\022$\n\034polling_inac" +
"tive_delay_msecs\030\007 \001(\005\"\337\002\n\020OptimizerOpti" +
"ons\022+\n#do_common_subexpression_eliminati" +
"on\030\001 \001(\010\022\033\n\023do_constant_folding\030\002 \001(\010\022\034\n" +
"\024do_function_inlining\030\004 \001(\010\0225\n\topt_level" +
"\030\003 \001(\0162\".tensorflow.OptimizerOptions.Lev" +
"el\022E\n\020global_jit_level\030\005 \001(\0162+.tensorflo" +
"w.OptimizerOptions.GlobalJitLevel\" \n\005Lev" +
"el\022\006\n\002L1\020\000\022\017\n\002L0\020\377\377\377\377\377\377\377\377\377\001\"C\n\016GlobalJit",
"Level\022\013\n\007DEFAULT\020\000\022\020\n\003OFF\020\377\377\377\377\377\377\377\377\377\001\022\010\n\004" +
"ON_1\020\001\022\010\n\004ON_2\020\002\"\356\002\n\014GraphOptions\022\036\n\026ena" +
"ble_recv_scheduling\030\002 \001(\010\0227\n\021optimizer_o" +
"ptions\030\003 \001(\0132\034.tensorflow.OptimizerOptio" +
"ns\022\030\n\020build_cost_model\030\004 \001(\003\022\036\n\026build_co" +
"st_model_after\030\t \001(\003\022\024\n\014infer_shapes\030\005 \001" +
"(\010\022\032\n\022place_pruned_graph\030\006 \001(\010\022 \n\030enable" +
"_bfloat16_sendrecv\030\007 \001(\010\022\025\n\rtimeline_ste" +
"p\030\010 \001(\005\0223\n\017rewrite_options\030\n \001(\0132\032.tenso" +
"rflow.RewriterConfigJ\004\010\001\020\002R%skip_common_",
"subexpression_elimination\",\n\025ThreadPoolO" +
"ptionProto\022\023\n\013num_threads\030\001 \001(\005\"2\n\nRPCOp" +
"tions\022$\n\034use_rpc_for_inprocess_master\030\001 " +
"\001(\010\"\321\004\n\013ConfigProto\022>\n\014device_count\030\001 \003(" +
"\0132(.tensorflow.ConfigProto.DeviceCountEn" +
"try\022$\n\034intra_op_parallelism_threads\030\002 \001(" +
"\005\022$\n\034inter_op_parallelism_threads\030\005 \001(\005\022" +
"\037\n\027use_per_session_threads\030\t \001(\010\022G\n\034sess" +
"ion_inter_op_thread_pool\030\014 \003(\0132!.tensorf" +
"low.ThreadPoolOptionProto\022\030\n\020placement_p",
"eriod\030\003 \001(\005\022\026\n\016device_filters\030\004 \003(\t\022+\n\013g" +
"pu_options\030\006 \001(\0132\026.tensorflow.GPUOptions" +
"\022\034\n\024allow_soft_placement\030\007 \001(\010\022\034\n\024log_de" +
"vice_placement\030\010 \001(\010\022/\n\rgraph_options\030\n " +
"\001(\0132\030.tensorflow.GraphOptions\022\037\n\027operati" +
"on_timeout_in_ms\030\013 \001(\003\022+\n\013rpc_options\030\r " +
"\001(\0132\026.tensorflow.RPCOptions\0322\n\020DeviceCou" +
"ntEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\005:\0028\001\"" +
"\245\002\n\nRunOptions\0226\n\013trace_level\030\001 \001(\0162!.te" +
"nsorflow.RunOptions.TraceLevel\022\025\n\rtimeou",
"t_in_ms\030\002 \001(\003\022\034\n\024inter_op_thread_pool\030\003 " +
"\001(\005\022\037\n\027output_partition_graphs\030\005 \001(\010\022/\n\r" +
"debug_options\030\006 \001(\0132\030.tensorflow.DebugOp" +
"tions\"R\n\nTraceLevel\022\014\n\010NO_TRACE\020\000\022\022\n\016SOF" +
"TWARE_TRACE\020\001\022\022\n\016HARDWARE_TRACE\020\002\022\016\n\nFUL" +
"L_TRACE\020\003J\004\010\004\020\005\"\226\001\n\013RunMetadata\022)\n\nstep_" +
"stats\030\001 \001(\0132\025.tensorflow.StepStats\022,\n\nco" +
"st_graph\030\002 \001(\0132\030.tensorflow.CostGraphDef" +
"\022.\n\020partition_graphs\030\003 \003(\0132\024.tensorflow." +
"GraphDefB-\n\030org.tensorflow.frameworkB\014Co",
"nfigProtosP\001\370\001\001b\006proto3"
};
com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
new com.google.protobuf.Descriptors.FileDescriptor. InternalDescriptorAssigner() {
public com.google.protobuf.ExtensionRegistry assignDescriptors(
com.google.protobuf.Descriptors.FileDescriptor root) {
descriptor = root;
return null;
}
};
com.google.protobuf.Descriptors.FileDescriptor
.internalBuildGeneratedFileFrom(descriptorData,
new com.google.protobuf.Descriptors.FileDescriptor[] {
org.tensorflow.framework.CostGraphProtos.getDescriptor(),
org.tensorflow.framework.GraphProtos.getDescriptor(),
org.tensorflow.framework.StepStatsProtos.getDescriptor(),
org.tensorflow.framework.DebugProtos.getDescriptor(),
org.tensorflow.framework.RewriterConfigProtos.getDescriptor(),
}, assigner);
internal_static_tensorflow_GPUOptions_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_tensorflow_GPUOptions_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_GPUOptions_descriptor,
new java.lang.String[] { "PerProcessGpuMemoryFraction", "AllocatorType", "DeferredDeletionBytes", "AllowGrowth", "VisibleDeviceList", "PollingActiveDelayUsecs", "PollingInactiveDelayMsecs", });
internal_static_tensorflow_OptimizerOptions_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_tensorflow_OptimizerOptions_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_OptimizerOptions_descriptor,
new java.lang.String[] { "DoCommonSubexpressionElimination", "DoConstantFolding", "DoFunctionInlining", "OptLevel", "GlobalJitLevel", });
internal_static_tensorflow_GraphOptions_descriptor =
getDescriptor().getMessageTypes().get(2);
internal_static_tensorflow_GraphOptions_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_GraphOptions_descriptor,
new java.lang.String[] { "EnableRecvScheduling", "OptimizerOptions", "BuildCostModel", "BuildCostModelAfter", "InferShapes", "PlacePrunedGraph", "EnableBfloat16Sendrecv", "TimelineStep", "RewriteOptions", });
internal_static_tensorflow_ThreadPoolOptionProto_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ThreadPoolOptionProto_descriptor,
new java.lang.String[] { "NumThreads", });
internal_static_tensorflow_RPCOptions_descriptor =
getDescriptor().getMessageTypes().get(4);
internal_static_tensorflow_RPCOptions_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_RPCOptions_descriptor,
new java.lang.String[] { "UseRpcForInprocessMaster", });
internal_static_tensorflow_ConfigProto_descriptor =
getDescriptor().getMessageTypes().get(5);
internal_static_tensorflow_ConfigProto_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ConfigProto_descriptor,
new java.lang.String[] { "DeviceCount", "IntraOpParallelismThreads", "InterOpParallelismThreads", "UsePerSessionThreads", "SessionInterOpThreadPool", "PlacementPeriod", "DeviceFilters", "GpuOptions", "AllowSoftPlacement", "LogDevicePlacement", "GraphOptions", "OperationTimeoutInMs", "RpcOptions", });
internal_static_tensorflow_ConfigProto_DeviceCountEntry_descriptor =
internal_static_tensorflow_ConfigProto_descriptor.getNestedTypes().get(0);
internal_static_tensorflow_ConfigProto_DeviceCountEntry_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ConfigProto_DeviceCountEntry_descriptor,
new java.lang.String[] { "Key", "Value", });
internal_static_tensorflow_RunOptions_descriptor =
getDescriptor().getMessageTypes().get(6);
internal_static_tensorflow_RunOptions_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_RunOptions_descriptor,
new java.lang.String[] { "TraceLevel", "TimeoutInMs", "InterOpThreadPool", "OutputPartitionGraphs", "DebugOptions", });
internal_static_tensorflow_RunMetadata_descriptor =
getDescriptor().getMessageTypes().get(7);
internal_static_tensorflow_RunMetadata_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_RunMetadata_descriptor,
new java.lang.String[] { "StepStats", "CostGraph", "PartitionGraphs", });
org.tensorflow.framework.CostGraphProtos.getDescriptor();
org.tensorflow.framework.GraphProtos.getDescriptor();
org.tensorflow.framework.StepStatsProtos.getDescriptor();
org.tensorflow.framework.DebugProtos.getDescriptor();
org.tensorflow.framework.RewriterConfigProtos.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy