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Java API for TensorFlow protocol buffers.
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/core/framework/step_stats.proto
package org.tensorflow.framework;
public final class StepStatsProtos {
private StepStatsProtos() {}
public static void registerAllExtensions(
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}
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static final com.google.protobuf.Descriptors.Descriptor
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static final com.google.protobuf.Descriptors.Descriptor
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static final com.google.protobuf.Descriptors.Descriptor
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static final com.google.protobuf.Descriptors.Descriptor
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static {
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"roto\022\ntensorflow\0326tensorflow/core/framew" +
"ork/allocation_description.proto\0322tensor" +
"flow/core/framework/tensor_description.p" +
"roto\"=\n\020AllocationRecord\022\024\n\014alloc_micros" +
"\030\001 \001(\003\022\023\n\013alloc_bytes\030\002 \001(\003\"\304\001\n\023Allocato" +
"rMemoryUsed\022\026\n\016allocator_name\030\001 \001(\t\022\023\n\013t" +
"otal_bytes\030\002 \001(\003\022\022\n\npeak_bytes\030\003 \001(\003\022\022\n\n" +
"live_bytes\030\004 \001(\003\0228\n\022allocation_records\030\006" +
" \003(\0132\034.tensorflow.AllocationRecord\022\036\n\026al" +
"locator_bytes_in_use\030\005 \001(\003\"U\n\nNodeOutput" +
"\022\014\n\004slot\030\001 \001(\005\0229\n\022tensor_description\030\003 \001" +
"(\0132\035.tensorflow.TensorDescription\"\354\001\n\013Me" +
"moryStats\022\030\n\020temp_memory_size\030\001 \001(\003\022\036\n\026p" +
"ersistent_memory_size\030\003 \001(\003\022#\n\033persisten" +
"t_tensor_alloc_ids\030\005 \003(\003\022#\n\027device_temp_" +
"memory_size\030\002 \001(\003B\002\030\001\022)\n\035device_persiste" +
"nt_memory_size\030\004 \001(\003B\002\030\001\022.\n\"device_persi" +
"stent_tensor_alloc_ids\030\006 \003(\003B\002\030\001\"\236\004\n\rNod" +
"eExecStats\022\021\n\tnode_name\030\001 \001(\t\022\030\n\020all_sta" +
"rt_micros\030\002 \001(\003\022\033\n\023op_start_rel_micros\030\003" +
" \001(\003\022\031\n\021op_end_rel_micros\030\004 \001(\003\022\032\n\022all_e" +
"nd_rel_micros\030\005 \001(\003\022/\n\006memory\030\006 \003(\0132\037.te" +
"nsorflow.AllocatorMemoryUsed\022&\n\006output\030\007" +
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"_label\030\010 \001(\t\022\030\n\020scheduled_micros\030\t \001(\003\022\021" +
"\n\tthread_id\030\n \001(\r\022<\n\021referenced_tensor\030\013" +
" \003(\0132!.tensorflow.AllocationDescription\022" +
"-\n\014memory_stats\030\014 \001(\0132\027.tensorflow.Memor" +
"yStats\022\027\n\017all_start_nanos\030\r \001(\003\022\032\n\022op_st" +
"art_rel_nanos\030\016 \001(\003\022\030\n\020op_end_rel_nanos\030" +
"\017 \001(\003\022\031\n\021all_end_rel_nanos\030\020 \001(\003\022\027\n\017sche" +
"duled_nanos\030\021 \001(\003\"\310\001\n\017DeviceStepStats\022\016\n" +
"\006device\030\001 \001(\t\022-\n\nnode_stats\030\002 \003(\0132\031.tens" +
"orflow.NodeExecStats\022B\n\014thread_names\030\003 \003" +
"(\0132,.tensorflow.DeviceStepStats.ThreadNa" +
"mesEntry\0322\n\020ThreadNamesEntry\022\013\n\003key\030\001 \001(" +
"\r\022\r\n\005value\030\002 \001(\t:\0028\001\";\n\tStepStats\022.\n\tdev" +
"_stats\030\001 \003(\0132\033.tensorflow.DeviceStepStat" +
"sBo\n\030org.tensorflow.frameworkB\017StepStats" +
"ProtosP\001Z=github.com/tensorflow/tensorfl" +
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};
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org.tensorflow.framework.AllocationDescriptionProtos.getDescriptor();
org.tensorflow.framework.TensorDescriptionProtos.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}