org.tensorflow.framework.ConfigProtos Maven / Gradle / Ivy
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// 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(
org.nd4j.shade.protobuf.ExtensionRegistryLite registry) {
}
public static void registerAllExtensions(
org.nd4j.shade.protobuf.ExtensionRegistry registry) {
registerAllExtensions(
(org.nd4j.shade.protobuf.ExtensionRegistryLite) registry);
}
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GPUOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GPUOptions_Experimental_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_Experimental_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GPUOptions_Experimental_VirtualDevices_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GPUOptions_Experimental_VirtualDevices_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_OptimizerOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_OptimizerOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_GraphOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_GraphOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ThreadPoolOptionProto_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ThreadPoolOptionProto_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RPCOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RPCOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ConfigProto_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_DeviceCountEntry_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ConfigProto_DeviceCountEntry_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ConfigProto_Experimental_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ConfigProto_Experimental_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RunOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunOptions_Experimental_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RunOptions_Experimental_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RunMetadata_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RunMetadata_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_TensorConnection_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_TensorConnection_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_CallableOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_CallableOptions_fieldAccessorTable;
public static org.nd4j.shade.protobuf.Descriptors.FileDescriptor
getDescriptor() {
return descriptor;
}
private static org.nd4j.shade.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$tensorflow/core/prot" +
"obuf/debug.proto\032&tensorflow/core/protob" +
"uf/cluster.proto\032.tensorflow/core/protob" +
"uf/rewriter_config.proto\"\351\003\n\nGPUOptions\022" +
"\'\n\037per_process_gpu_memory_fraction\030\001 \001(\001" +
"\022\024\n\014allow_growth\030\004 \001(\010\022\026\n\016allocator_type" +
"\030\002 \001(\t\022\037\n\027deferred_deletion_bytes\030\003 \001(\003\022" +
"\033\n\023visible_device_list\030\005 \001(\t\022\"\n\032polling_" +
"active_delay_usecs\030\006 \001(\005\022$\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\242\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\032)\n\016Vir" +
"tualDevices\022\027\n\017memory_limit_mb\030\001 \003(\002\"\205\003\n" +
"\020OptimizerOptions\022+\n#do_common_subexpres" +
"sion_elimination\030\001 \001(\010\022\033\n\023do_constant_fo" +
"lding\030\002 \001(\010\022$\n\034max_folded_constant_in_by" +
"tes\030\006 \001(\003\022\034\n\024do_function_inlining\030\004 \001(\010\022" +
"5\n\topt_level\030\003 \001(\0162\".tensorflow.Optimize" +
"rOptions.Level\022E\n\020global_jit_level\030\005 \001(\016" +
"2+.tensorflow.OptimizerOptions.GlobalJit" +
"Level\" \n\005Level\022\006\n\002L1\020\000\022\017\n\002L0\020\377\377\377\377\377\377\377\377\377\001\"" +
"C\n\016GlobalJitLevel\022\013\n\007DEFAULT\020\000\022\020\n\003OFF\020\377\377" +
"\377\377\377\377\377\377\377\001\022\010\n\004ON_1\020\001\022\010\n\004ON_2\020\002\"\356\002\n\014GraphOp" +
"tions\022\036\n\026enable_recv_scheduling\030\002 \001(\010\0227\n" +
"\021optimizer_options\030\003 \001(\0132\034.tensorflow.Op" +
"timizerOptions\022\030\n\020build_cost_model\030\004 \001(\003" +
"\022\036\n\026build_cost_model_after\030\t \001(\003\022\024\n\014infe" +
"r_shapes\030\005 \001(\010\022\032\n\022place_pruned_graph\030\006 \001" +
"(\010\022 \n\030enable_bfloat16_sendrecv\030\007 \001(\010\022\025\n\r" +
"timeline_step\030\010 \001(\005\0223\n\017rewrite_options\030\n" +
" \001(\0132\032.tensorflow.RewriterConfigJ\004\010\001\020\002R%" +
"skip_common_subexpression_elimination\"A\n" +
"\025ThreadPoolOptionProto\022\023\n\013num_threads\030\001 " +
"\001(\005\022\023\n\013global_name\030\002 \001(\t\"2\n\nRPCOptions\022$" +
"\n\034use_rpc_for_inprocess_master\030\001 \001(\010\"\212\006\n" +
"\013ConfigProto\022>\n\014device_count\030\001 \003(\0132(.ten" +
"sorflow.ConfigProto.DeviceCountEntry\022$\n\034" +
"intra_op_parallelism_threads\030\002 \001(\005\022$\n\034in" +
"ter_op_parallelism_threads\030\005 \001(\005\022\037\n\027use_" +
"per_session_threads\030\t \001(\010\022G\n\034session_int" +
"er_op_thread_pool\030\014 \003(\0132!.tensorflow.Thr" +
"eadPoolOptionProto\022\030\n\020placement_period\030\003" +
" \001(\005\022\026\n\016device_filters\030\004 \003(\t\022+\n\013gpu_opti" +
"ons\030\006 \001(\0132\026.tensorflow.GPUOptions\022\034\n\024all" +
"ow_soft_placement\030\007 \001(\010\022\034\n\024log_device_pl" +
"acement\030\010 \001(\010\022/\n\rgraph_options\030\n \001(\0132\030.t" +
"ensorflow.GraphOptions\022\037\n\027operation_time" +
"out_in_ms\030\013 \001(\003\022+\n\013rpc_options\030\r \001(\0132\026.t" +
"ensorflow.RPCOptions\022+\n\013cluster_def\030\016 \001(" +
"\0132\026.tensorflow.ClusterDef\022\035\n\025isolate_ses" +
"sion_state\030\017 \001(\010\022:\n\014experimental\030\020 \001(\0132$" +
".tensorflow.ConfigProto.Experimental\0322\n\020" +
"DeviceCountEntry\022\013\n\003key\030\001 \001(\t\022\r\n\005value\030\002" +
" \001(\005:\0028\001\032/\n\014Experimental\022\037\n\027collective_g" +
"roup_leader\030\001 \001(\t\"\272\003\n\nRunOptions\0226\n\013trac" +
"e_level\030\001 \001(\0162!.tensorflow.RunOptions.Tr" +
"aceLevel\022\025\n\rtimeout_in_ms\030\002 \001(\003\022\034\n\024inter" +
"_op_thread_pool\030\003 \001(\005\022\037\n\027output_partitio" +
"n_graphs\030\005 \001(\010\022/\n\rdebug_options\030\006 \001(\0132\030." +
"tensorflow.DebugOptions\022*\n\"report_tensor" +
"_allocations_upon_oom\030\007 \001(\010\0229\n\014experimen" +
"tal\030\010 \001(\0132#.tensorflow.RunOptions.Experi" +
"mental\032,\n\014Experimental\022\034\n\024collective_gra" +
"ph_key\030\001 \001(\003\"R\n\nTraceLevel\022\014\n\010NO_TRACE\020\000" +
"\022\022\n\016SOFTWARE_TRACE\020\001\022\022\n\016HARDWARE_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.tensorflow.StepStat" +
"s\022,\n\ncost_graph\030\002 \001(\0132\030.tensorflow.CostG" +
"raphDef\022.\n\020partition_graphs\030\003 \003(\0132\024.tens" +
"orflow.GraphDef\":\n\020TensorConnection\022\023\n\013f" +
"rom_tensor\030\001 \001(\t\022\021\n\tto_tensor\030\002 \001(\t\"\244\001\n\017" +
"CallableOptions\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\013run_options\030\004 \001(" +
"\0132\026.tensorflow.RunOptions\0227\n\021tensor_conn" +
"ection\030\005 \003(\0132\034.tensorflow.TensorConnecti" +
"onBk\n\030org.tensorflow.frameworkB\014ConfigPr" +
"otosP\001Z