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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() {}
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_AllocationRecord_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_AllocationRecord_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_AllocatorMemoryUsed_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_AllocatorMemoryUsed_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_NodeOutput_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_NodeOutput_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_MemoryStats_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_MemoryStats_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_NodeExecStats_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_NodeExecStats_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_DeviceStepStats_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_DeviceStepStats_fieldAccessorTable;
static final org.nd4j.shade.protobuf.Descriptors.Descriptor
internal_static_tensorflow_StepStats_descriptor;
static final
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internal_static_tensorflow_StepStats_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/framework/step_stats.p" +
"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\"\233\003\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" +
" \003(\0132\026.tensorflow.NodeOutput\022\026\n\016timeline" +
"_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\"P\n\017DeviceStepStats\022\016\n\006device\030\001 \001(" +
"\t\022-\n\nnode_stats\030\002 \003(\0132\031.tensorflow.NodeE" +
"xecStats\";\n\tStepStats\022.\n\tdev_stats\030\001 \003(\013" +
"2\033.tensorflow.DeviceStepStatsBo\n\030org.ten" +
"sorflow.frameworkB\017StepStatsProtosP\001Z=gi" +
"thub.com/tensorflow/tensorflow/tensorflo" +
"w/go/core/framework\370\001\001b\006proto3"
};
org.nd4j.shade.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
new org.nd4j.shade.protobuf.Descriptors.FileDescriptor. InternalDescriptorAssigner() {
public org.nd4j.shade.protobuf.ExtensionRegistry assignDescriptors(
org.nd4j.shade.protobuf.Descriptors.FileDescriptor root) {
descriptor = root;
return null;
}
};
org.nd4j.shade.protobuf.Descriptors.FileDescriptor
.internalBuildGeneratedFileFrom(descriptorData,
new org.nd4j.shade.protobuf.Descriptors.FileDescriptor[] {
org.tensorflow.framework.AllocationDescriptionProtos.getDescriptor(),
org.tensorflow.framework.TensorDescriptionProtos.getDescriptor(),
}, assigner);
internal_static_tensorflow_AllocationRecord_descriptor =
getDescriptor().getMessageTypes().get(0);
internal_static_tensorflow_AllocationRecord_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_AllocationRecord_descriptor,
new java.lang.String[] { "AllocMicros", "AllocBytes", });
internal_static_tensorflow_AllocatorMemoryUsed_descriptor =
getDescriptor().getMessageTypes().get(1);
internal_static_tensorflow_AllocatorMemoryUsed_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_AllocatorMemoryUsed_descriptor,
new java.lang.String[] { "AllocatorName", "TotalBytes", "PeakBytes", "LiveBytes", "AllocationRecords", "AllocatorBytesInUse", });
internal_static_tensorflow_NodeOutput_descriptor =
getDescriptor().getMessageTypes().get(2);
internal_static_tensorflow_NodeOutput_fieldAccessorTable = new
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internal_static_tensorflow_MemoryStats_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_tensorflow_MemoryStats_fieldAccessorTable = new
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internal_static_tensorflow_MemoryStats_descriptor,
new java.lang.String[] { "TempMemorySize", "PersistentMemorySize", "PersistentTensorAllocIds", "DeviceTempMemorySize", "DevicePersistentMemorySize", "DevicePersistentTensorAllocIds", });
internal_static_tensorflow_NodeExecStats_descriptor =
getDescriptor().getMessageTypes().get(4);
internal_static_tensorflow_NodeExecStats_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_NodeExecStats_descriptor,
new java.lang.String[] { "NodeName", "AllStartMicros", "OpStartRelMicros", "OpEndRelMicros", "AllEndRelMicros", "Memory", "Output", "TimelineLabel", "ScheduledMicros", "ThreadId", "ReferencedTensor", "MemoryStats", });
internal_static_tensorflow_DeviceStepStats_descriptor =
getDescriptor().getMessageTypes().get(5);
internal_static_tensorflow_DeviceStepStats_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
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internal_static_tensorflow_StepStats_descriptor =
getDescriptor().getMessageTypes().get(6);
internal_static_tensorflow_StepStats_fieldAccessorTable = new
org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_StepStats_descriptor,
new java.lang.String[] { "DevStats", });
org.tensorflow.framework.AllocationDescriptionProtos.getDescriptor();
org.tensorflow.framework.TensorDescriptionProtos.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}
