org.tensorflow.framework.RewriterConfigProtos Maven / Gradle / Ivy
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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/protobuf/rewriter_config.proto
package org.tensorflow.framework;
public final class RewriterConfigProtos {
private RewriterConfigProtos() {}
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_AutoParallelOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_AutoParallelOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_ScopedAllocatorOptions_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_ScopedAllocatorOptions_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RewriterConfig_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RewriterConfig_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RewriterConfig_CustomGraphOptimizer_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RewriterConfig_CustomGraphOptimizer_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_RewriterConfig_CustomGraphOptimizer_ParameterMapEntry_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_RewriterConfig_CustomGraphOptimizer_ParameterMapEntry_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/rewriter_conf" +
"ig.proto\022\ntensorflow\032*tensorflow/core/fr" +
"amework/attr_value.proto\";\n\023AutoParallel" +
"Options\022\016\n\006enable\030\001 \001(\010\022\024\n\014num_replicas\030" +
"\002 \001(\005\"+\n\026ScopedAllocatorOptions\022\021\n\tenabl" +
"e_op\030\001 \003(\t\"\262\014\n\016RewriterConfig\022;\n\020layout_" +
"optimizer\030\001 \001(\0162!.tensorflow.RewriterCon" +
"fig.Toggle\022;\n\020constant_folding\030\003 \001(\0162!.t" +
"ensorflow.RewriterConfig.Toggle\022=\n\022shape" +
"_optimization\030\r \001(\0162!.tensorflow.Rewrite" +
"rConfig.Toggle\0224\n\tremapping\030\016 \001(\0162!.tens" +
"orflow.RewriterConfig.Toggle\022B\n\027arithmet" +
"ic_optimization\030\007 \001(\0162!.tensorflow.Rewri" +
"terConfig.Toggle\022B\n\027dependency_optimizat" +
"ion\030\010 \001(\0162!.tensorflow.RewriterConfig.To" +
"ggle\022<\n\021loop_optimization\030\t \001(\0162!.tensor" +
"flow.RewriterConfig.Toggle\022@\n\025function_o" +
"ptimization\030\n \001(\0162!.tensorflow.RewriterC" +
"onfig.Toggle\0229\n\016debug_stripper\030\013 \001(\0162!.t" +
"ensorflow.RewriterConfig.Toggle\022\035\n\025disab" +
"le_model_pruning\030\002 \001(\010\022H\n\035scoped_allocat" +
"or_optimization\030\017 \001(\0162!.tensorflow.Rewri" +
"terConfig.Toggle\022O\n\031meta_optimizer_itera" +
"tions\030\014 \001(\0162,.tensorflow.RewriterConfig." +
"NumIterationsType\022B\n\023memory_optimization" +
"\030\004 \001(\0162%.tensorflow.RewriterConfig.MemOp" +
"tType\022/\n\'memory_optimizer_target_node_na" +
"me_scope\030\006 \001(\t\0226\n\rauto_parallel\030\005 \001(\0132\037." +
"tensorflow.AutoParallelOptions\022A\n\025scoped" +
"_allocator_opts\030\020 \001(\0132\".tensorflow.Scope" +
"dAllocatorOptions\022\022\n\noptimizers\030d \003(\t\022K\n" +
"\021custom_optimizers\030\310\001 \003(\0132/.tensorflow.R" +
"ewriterConfig.CustomGraphOptimizer\032\312\001\n\024C" +
"ustomGraphOptimizer\022\014\n\004name\030\001 \001(\t\022X\n\rpar" +
"ameter_map\030\002 \003(\0132A.tensorflow.RewriterCo" +
"nfig.CustomGraphOptimizer.ParameterMapEn" +
"try\032J\n\021ParameterMapEntry\022\013\n\003key\030\001 \001(\t\022$\n" +
"\005value\030\002 \001(\0132\025.tensorflow.AttrValue:\0028\001\"" +
"6\n\006Toggle\022\013\n\007DEFAULT\020\000\022\006\n\002ON\020\001\022\007\n\003OFF\020\002\022" +
"\016\n\nAGGRESSIVE\020\003\"<\n\021NumIterationsType\022\025\n\021" +
"DEFAULT_NUM_ITERS\020\000\022\007\n\003ONE\020\001\022\007\n\003TWO\020\002\"\237\001" +
"\n\nMemOptType\022\023\n\017DEFAULT_MEM_OPT\020\000\022\016\n\nNO_" +
"MEM_OPT\020\001\022\n\n\006MANUAL\020\002\022\027\n\023SWAPPING_HEURIS" +
"TICS\020\004\022\034\n\030RECOMPUTATION_HEURISTICS\020\005\022\031\n\025" +
"SCHEDULING_HEURISTICS\020\006\022\016\n\nHEURISTICS\020\003B" +
"s\n\030org.tensorflow.frameworkB\024RewriterCon" +
"figProtosP\001Z