org.tensorflow.framework.StepStatsProtos Maven / Gradle / Ivy
// 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() {}
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"\n*tensorflow/core/framework/step_stats.p" +
"roto\022\ntensorflow\0326tensorflow/core/framew" +
"ork/allocation_description.proto\0322tensor" +
"flow/core/framework/tensor_description.p" +
"roto\"\212\001\n\023AllocatorMemoryUsed\022\026\n\016allocato" +
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"k_bytes\030\003 \001(\003\022\022\n\nlive_bytes\030\004 \001(\003\022\036\n\026all" +
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"\0132\035.tensorflow.TensorDescription\"\357\001\n\013Mem",
"oryStats\022\035\n\025host_temp_memory_size\030\001 \001(\003\022" +
"\037\n\027device_temp_memory_size\030\002 \001(\003\022#\n\033host" +
"_persistent_memory_size\030\003 \001(\003\022%\n\035device_" +
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"sistent_tensor_alloc_ids\030\005 \003(\003\022*\n\"device" +
"_persistent_tensor_alloc_ids\030\006 \003(\003\"\233\003\n\rN" +
"odeExecStats\022\021\n\tnode_name\030\001 \001(\t\022\030\n\020all_s" +
"tart_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" +
"_end_rel_micros\030\005 \001(\003\022/\n\006memory\030\006 \003(\0132\037.",
"tensorflow.AllocatorMemoryUsed\022&\n\006output" +
"\030\007 \003(\0132\026.tensorflow.NodeOutput\022\026\n\016timeli" +
"ne_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.AllocationDescriptio" +
"n\022-\n\014memory_stats\030\014 \001(\0132\027.tensorflow.Mem" +
"oryStats\"P\n\017DeviceStepStats\022\016\n\006device\030\001 " +
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"eExecStats\";\n\tStepStats\022.\n\tdev_stats\030\001 \003" +
"(\0132\033.tensorflow.DeviceStepStatsB0\n\030org.t",
"ensorflow.frameworkB\017StepStatsProtosP\001\370\001" +
"\001b\006proto3"
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// @@protoc_insertion_point(outer_class_scope)
}
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