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_GPUOptions_Experimental_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_Experimental_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GPUOptions_Experimental_VirtualDevices_descriptor;
static final
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_Experimental_VirtualDevices_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;
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internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RPCOptions_descriptor;
static final
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internal_static_tensorflow_RPCOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_descriptor;
static final
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internal_static_tensorflow_ConfigProto_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_DeviceCountEntry_descriptor;
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internal_static_tensorflow_ConfigProto_DeviceCountEntry_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_Experimental_descriptor;
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internal_static_tensorflow_ConfigProto_Experimental_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunOptions_descriptor;
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internal_static_tensorflow_RunOptions_fieldAccessorTable;
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internal_static_tensorflow_RunOptions_Experimental_descriptor;
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internal_static_tensorflow_RunOptions_Experimental_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunMetadata_descriptor;
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internal_static_tensorflow_RunMetadata_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_TensorConnection_descriptor;
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static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_CallableOptions_descriptor;
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internal_static_tensorflow_CallableOptions_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_CallableOptions_FeedDevicesEntry_descriptor;
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internal_static_tensorflow_CallableOptions_FeedDevicesEntry_fieldAccessorTable;
static final com.google.protobuf.Descriptors.Descriptor
internal_static_tensorflow_CallableOptions_FetchDevicesEntry_descriptor;
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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$tensorflow/core/prot" +
"obuf/debug.proto\032&tensorflow/core/protob" +
"uf/cluster.proto\032.tensorflow/core/protob" +
"uf/rewriter_config.proto\"\216\004\n\nGPUOptions\022" +
"\'\n\037per_process_gpu_memory_fraction\030\001 \001(\001" +
"\022\024\n\014allow_growth\030\004 \001(\010\022\026\n\016allocator_type" +
"\030\002 \001(\t\022\037\n\027deferred_deletion_bytes\030\003 \001(\003\022" +
"\033\n\023visible_device_list\030\005 \001(\t\022\"\n\032polling_" +
"active_delay_usecs\030\006 \001(\005\022$\n\034polling_inac" +
"tive_delay_msecs\030\007 \001(\005\022\034\n\024force_gpu_comp" +
"atible\030\010 \001(\010\0229\n\014experimental\030\t \001(\0132#.ten" +
"sorflow.GPUOptions.Experimental\032\307\001\n\014Expe" +
"rimental\022K\n\017virtual_devices\030\001 \003(\01322.tens" +
"orflow.GPUOptions.Experimental.VirtualDe" +
"vices\022\032\n\022use_unified_memory\030\002 \001(\010\022#\n\033num" +
"_dev_to_dev_copy_streams\030\003 \001(\005\032)\n\016Virtua" +
"lDevices\022\027\n\017memory_limit_mb\030\001 \003(\002\"\205\003\n\020Op" +
"timizerOptions\022+\n#do_common_subexpressio" +
"n_elimination\030\001 \001(\010\022\033\n\023do_constant_foldi" +
"ng\030\002 \001(\010\022$\n\034max_folded_constant_in_bytes" +
"\030\006 \001(\003\022\034\n\024do_function_inlining\030\004 \001(\010\0225\n\t" +
"opt_level\030\003 \001(\0162\".tensorflow.OptimizerOp" +
"tions.Level\022E\n\020global_jit_level\030\005 \001(\0162+." +
"tensorflow.OptimizerOptions.GlobalJitLev" +
"el\" \n\005Level\022\006\n\002L1\020\000\022\017\n\002L0\020\377\377\377\377\377\377\377\377\377\001\"C\n\016" +
"GlobalJitLevel\022\013\n\007DEFAULT\020\000\022\020\n\003OFF\020\377\377\377\377\377" +
"\377\377\377\377\001\022\010\n\004ON_1\020\001\022\010\n\004ON_2\020\002\"\356\002\n\014GraphOptio" +
"ns\022\036\n\026enable_recv_scheduling\030\002 \001(\010\0227\n\021op" +
"timizer_options\030\003 \001(\0132\034.tensorflow.Optim" +
"izerOptions\022\030\n\020build_cost_model\030\004 \001(\003\022\036\n" +
"\026build_cost_model_after\030\t \001(\003\022\024\n\014infer_s" +
"hapes\030\005 \001(\010\022\032\n\022place_pruned_graph\030\006 \001(\010\022" +
" \n\030enable_bfloat16_sendrecv\030\007 \001(\010\022\025\n\rtim" +
"eline_step\030\010 \001(\005\0223\n\017rewrite_options\030\n \001(" +
"\0132\032.tensorflow.RewriterConfigJ\004\010\001\020\002R%ski" +
"p_common_subexpression_elimination\"A\n\025Th" +
"readPoolOptionProto\022\023\n\013num_threads\030\001 \001(\005" +
"\022\023\n\013global_name\030\002 \001(\t\"2\n\nRPCOptions\022$\n\034u" +
"se_rpc_for_inprocess_master\030\001 \001(\010\"\247\006\n\013Co" +
"nfigProto\022>\n\014device_count\030\001 \003(\0132(.tensor" +
"flow.ConfigProto.DeviceCountEntry\022$\n\034int" +
"ra_op_parallelism_threads\030\002 \001(\005\022$\n\034inter" +
"_op_parallelism_threads\030\005 \001(\005\022\037\n\027use_per" +
"_session_threads\030\t \001(\010\022G\n\034session_inter_" +
"op_thread_pool\030\014 \003(\0132!.tensorflow.Thread" +
"PoolOptionProto\022\030\n\020placement_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_place" +
"ment\030\010 \001(\010\022/\n\rgraph_options\030\n \001(\0132\030.tens" +
"orflow.GraphOptions\022\037\n\027operation_timeout" +
"_in_ms\030\013 \001(\003\022+\n\013rpc_options\030\r \001(\0132\026.tens" +
"orflow.RPCOptions\022+\n\013cluster_def\030\016 \001(\0132\026" +
".tensorflow.ClusterDef\022\035\n\025isolate_sessio" +
"n_state\030\017 \001(\010\022:\n\014experimental\030\020 \001(\0132$.te" +
"nsorflow.ConfigProto.Experimental\0322\n\020Dev" +
"iceCountEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(" +
"\005:\0028\001\032L\n\014Experimental\022\037\n\027collective_grou" +
"p_leader\030\001 \001(\t\022\025\n\rexecutor_type\030\003 \001(\tJ\004\010" +
"\002\020\003\"\330\003\n\nRunOptions\0226\n\013trace_level\030\001 \001(\0162" +
"!.tensorflow.RunOptions.TraceLevel\022\025\n\rti" +
"meout_in_ms\030\002 \001(\003\022\034\n\024inter_op_thread_poo" +
"l\030\003 \001(\005\022\037\n\027output_partition_graphs\030\005 \001(\010" +
"\022/\n\rdebug_options\030\006 \001(\0132\030.tensorflow.Deb" +
"ugOptions\022*\n\"report_tensor_allocations_u" +
"pon_oom\030\007 \001(\010\0229\n\014experimental\030\010 \001(\0132#.te" +
"nsorflow.RunOptions.Experimental\032J\n\014Expe" +
"rimental\022\034\n\024collective_graph_key\030\001 \001(\003\022\034" +
"\n\024use_run_handler_pool\030\002 \001(\010\"R\n\nTraceLev" +
"el\022\014\n\010NO_TRACE\020\000\022\022\n\016SOFTWARE_TRACE\020\001\022\022\n\016" +
"HARDWARE_TRACE\020\002\022\016\n\nFULL_TRACE\020\003J\004\010\004\020\005\"\226" +
"\001\n\013RunMetadata\022)\n\nstep_stats\030\001 \001(\0132\025.ten" +
"sorflow.StepStats\022,\n\ncost_graph\030\002 \001(\0132\030." +
"tensorflow.CostGraphDef\022.\n\020partition_gra" +
"phs\030\003 \003(\0132\024.tensorflow.GraphDef\":\n\020Tenso" +
"rConnection\022\023\n\013from_tensor\030\001 \001(\t\022\021\n\tto_t" +
"ensor\030\002 \001(\t\"\260\003\n\017CallableOptions\022\014\n\004feed\030" +
"\001 \003(\t\022\r\n\005fetch\030\002 \003(\t\022\016\n\006target\030\003 \003(\t\022+\n\013" +
"run_options\030\004 \001(\0132\026.tensorflow.RunOption" +
"s\0227\n\021tensor_connection\030\005 \003(\0132\034.tensorflo" +
"w.TensorConnection\022B\n\014feed_devices\030\006 \003(\013" +
"2,.tensorflow.CallableOptions.FeedDevice" +
"sEntry\022D\n\rfetch_devices\030\007 \003(\0132-.tensorfl" +
"ow.CallableOptions.FetchDevicesEntry\022\027\n\017" +
"fetch_skip_sync\030\010 \001(\010\0322\n\020FeedDevicesEntr" +
"y\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001(\t:\0028\001\0323\n\021Fet" +
"chDevicesEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002 \001" +
"(\t:\0028\001Bk\n\030org.tensorflow.frameworkB\014Conf" +
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