org.tensorflow.framework.ConfigProtos Maven / Gradle / Ivy
// 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$tensorflow/core/prot" +
"obuf/debug.proto\032&tensorflow/core/protob" +
"uf/cluster.proto\032.tensorflow/core/protob" +
"uf/rewriter_config.proto\"\211\002\n\nGPUOptions\022" +
"\'\n\037per_process_gpu_memory_fraction\030\001 \001(\001" +
"\022\026\n\016allocator_type\030\002 \001(\t\022\037\n\027deferred_del",
"etion_bytes\030\003 \001(\003\022\024\n\014allow_growth\030\004 \001(\010\022" +
"\033\n\023visible_device_list\030\005 \001(\t\022\"\n\032polling_" +
"active_delay_usecs\030\006 \001(\005\022$\n\034polling_inac" +
"tive_delay_msecs\030\007 \001(\005\022\034\n\024force_gpu_comp" +
"atible\030\010 \001(\010\"\337\002\n\020OptimizerOptions\022+\n#do_" +
"common_subexpression_elimination\030\001 \001(\010\022\033" +
"\n\023do_constant_folding\030\002 \001(\010\022\034\n\024do_functi" +
"on_inlining\030\004 \001(\010\0225\n\topt_level\030\003 \001(\0162\".t" +
"ensorflow.OptimizerOptions.Level\022E\n\020glob" +
"al_jit_level\030\005 \001(\0162+.tensorflow.Optimize",
"rOptions.GlobalJitLevel\" \n\005Level\022\006\n\002L1\020\000" +
"\022\017\n\002L0\020\377\377\377\377\377\377\377\377\377\001\"C\n\016GlobalJitLevel\022\013\n\007D" +
"EFAULT\020\000\022\020\n\003OFF\020\377\377\377\377\377\377\377\377\377\001\022\010\n\004ON_1\020\001\022\010\n\004" +
"ON_2\020\002\"\356\002\n\014GraphOptions\022\036\n\026enable_recv_s" +
"cheduling\030\002 \001(\010\0227\n\021optimizer_options\030\003 \001" +
"(\0132\034.tensorflow.OptimizerOptions\022\030\n\020buil" +
"d_cost_model\030\004 \001(\003\022\036\n\026build_cost_model_a" +
"fter\030\t \001(\003\022\024\n\014infer_shapes\030\005 \001(\010\022\032\n\022plac" +
"e_pruned_graph\030\006 \001(\010\022 \n\030enable_bfloat16_" +
"sendrecv\030\007 \001(\010\022\025\n\rtimeline_step\030\010 \001(\005\0223\n",
"\017rewrite_options\030\n \001(\0132\032.tensorflow.Rewr" +
"iterConfigJ\004\010\001\020\002R%skip_common_subexpress" +
"ion_elimination\"A\n\025ThreadPoolOptionProto" +
"\022\023\n\013num_threads\030\001 \001(\005\022\023\n\013global_name\030\002 \001" +
"(\t\"2\n\nRPCOptions\022$\n\034use_rpc_for_inproces" +
"s_master\030\001 \001(\010\"\376\004\n\013ConfigProto\022>\n\014device" +
"_count\030\001 \003(\0132(.tensorflow.ConfigProto.De" +
"viceCountEntry\022$\n\034intra_op_parallelism_t" +
"hreads\030\002 \001(\005\022$\n\034inter_op_parallelism_thr" +
"eads\030\005 \001(\005\022\037\n\027use_per_session_threads\030\t ",
"\001(\010\022G\n\034session_inter_op_thread_pool\030\014 \003(" +
"\0132!.tensorflow.ThreadPoolOptionProto\022\030\n\020" +
"placement_period\030\003 \001(\005\022\026\n\016device_filters" +
"\030\004 \003(\t\022+\n\013gpu_options\030\006 \001(\0132\026.tensorflow" +
".GPUOptions\022\034\n\024allow_soft_placement\030\007 \001(" +
"\010\022\034\n\024log_device_placement\030\010 \001(\010\022/\n\rgraph" +
"_options\030\n \001(\0132\030.tensorflow.GraphOptions" +
"\022\037\n\027operation_timeout_in_ms\030\013 \001(\003\022+\n\013rpc" +
"_options\030\r \001(\0132\026.tensorflow.RPCOptions\022+" +
"\n\013cluster_def\030\016 \001(\0132\026.tensorflow.Cluster",
"Def\0322\n\020DeviceCountEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005" +
"value\030\002 \001(\005:\0028\001\"\245\002\n\nRunOptions\0226\n\013trace_" +
"level\030\001 \001(\0162!.tensorflow.RunOptions.Trac" +
"eLevel\022\025\n\rtimeout_in_ms\030\002 \001(\003\022\034\n\024inter_o" +
"p_thread_pool\030\003 \001(\005\022\037\n\027output_partition_" +
"graphs\030\005 \001(\010\022/\n\rdebug_options\030\006 \001(\0132\030.te" +
"nsorflow.DebugOptions\"R\n\nTraceLevel\022\014\n\010N" +
"O_TRACE\020\000\022\022\n\016SOFTWARE_TRACE\020\001\022\022\n\016HARDWAR" +
"E_TRACE\020\002\022\016\n\nFULL_TRACE\020\003J\004\010\004\020\005\"\226\001\n\013RunM" +
"etadata\022)\n\nstep_stats\030\001 \001(\0132\025.tensorflow",
".StepStats\022,\n\ncost_graph\030\002 \001(\0132\030.tensorf" +
"low.CostGraphDef\022.\n\020partition_graphs\030\003 \003" +
"(\0132\024.tensorflow.GraphDefB-\n\030org.tensorfl" +
"ow.frameworkB\014ConfigProtosP\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.distruntime.ClusterProtos.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", "ForceGpuCompatible", });
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", "GlobalName", });
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", "ClusterDef", });
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.distruntime.ClusterProtos.getDescriptor();
org.tensorflow.framework.RewriterConfigProtos.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy