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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: tensorflow/contrib/tpu/profiler/tpu_profiler.proto
package tensorflow;
public final class TpuProfiler {
private TpuProfiler() {}
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/**
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*
* We don't collect the dataset ops by default for better trace-viewer
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private boolean includeDatasetOps_ ;
/**
*
* We don't collect the dataset ops by default for better trace-viewer
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*
*
* bool include_dataset_ops = 1;
*/
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*
* We don't collect the dataset ops by default for better trace-viewer
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*
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* We don't collect the dataset ops by default for better trace-viewer
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*
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static {
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}
public static tensorflow.TpuProfiler.ToolRequestOptions getDefaultInstance() {
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com.google.protobuf.MessageOrBuilder {
/**
*
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* Required profiling tools name such as "input_pipeline_analyzer" etc
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/**
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* Required profiling tools name such as "input_pipeline_analyzer" etc
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* Required profiling tools name such as "input_pipeline_analyzer" etc
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com.google.protobuf.ByteString
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tensorflow.TpuProfiler.ToolRequestOptions getToolOptionsOrDefault(
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tensorflow.TpuProfiler.ToolRequestOptions getToolOptionsOrThrow(
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tensorflow.TpuProfiler.ProfileOptionsOrBuilder getOptsOrBuilder();
/**
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*
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*
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*
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com.google.protobuf.MapEntry
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tensorflow.TpuProfiler.internal_static_tensorflow_ProfileRequest_ToolOptionsEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.STRING,
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com.google.protobuf.WireFormat.FieldType.MESSAGE,
tensorflow.TpuProfiler.ToolRequestOptions.getDefaultInstance());
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internalGetToolOptions() {
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}
/**
*
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*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
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/**
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/**
*
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*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
*/
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return internalGetToolOptions().getMap();
}
/**
*
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*
*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
*/
public tensorflow.TpuProfiler.ToolRequestOptions getToolOptionsOrDefault(
java.lang.String key,
tensorflow.TpuProfiler.ToolRequestOptions defaultValue) {
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java.util.Map map =
internalGetToolOptions().getMap();
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}
/**
*
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*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
*/
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java.lang.String key) {
if (key == null) { throw new java.lang.NullPointerException(); }
java.util.Map map =
internalGetToolOptions().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public static final int OPTS_FIELD_NUMBER = 4;
private tensorflow.TpuProfiler.ProfileOptions opts_;
/**
*
* Optional profiling options that control how a TF session will be profiled.
*
*
* .tensorflow.ProfileOptions opts = 4;
*/
public boolean hasOpts() {
return opts_ != null;
}
/**
*
* Optional profiling options that control how a TF session will be profiled.
*
*
* .tensorflow.ProfileOptions opts = 4;
*/
public tensorflow.TpuProfiler.ProfileOptions getOpts() {
return opts_ == null ? tensorflow.TpuProfiler.ProfileOptions.getDefaultInstance() : opts_;
}
/**
*
* Optional profiling options that control how a TF session will be profiled.
*
*
* .tensorflow.ProfileOptions opts = 4;
*/
public tensorflow.TpuProfiler.ProfileOptionsOrBuilder getOptsOrBuilder() {
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}
public static final int REPOSITORY_ROOT_FIELD_NUMBER = 5;
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/**
*
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*
*
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java.lang.String s = bs.toStringUtf8();
repositoryRoot_ = s;
return s;
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/**
*
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*
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com.google.protobuf.ByteString b =
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repositoryRoot_ = b;
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/**
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*
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public java.lang.String getSessionId() {
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if (ref instanceof java.lang.String) {
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com.google.protobuf.ByteString bs =
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java.lang.String s = bs.toStringUtf8();
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/**
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*
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com.google.protobuf.ByteString b =
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public static final int HOST_NAME_FIELD_NUMBER = 7;
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/**
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*
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private int bitField0_;
private long durationMs_ ;
/**
*
* In future, the caller will be able to customize when profiling starts and
* stops. For now, it collects `duration_ms` milliseconds worth of data.
*
*
* uint64 duration_ms = 1;
*/
public long getDurationMs() {
return durationMs_;
}
/**
*
* In future, the caller will be able to customize when profiling starts and
* stops. For now, it collects `duration_ms` milliseconds worth of data.
*
*
* uint64 duration_ms = 1;
*/
public Builder setDurationMs(long value) {
durationMs_ = value;
onChanged();
return this;
}
/**
*
* In future, the caller will be able to customize when profiling starts and
* stops. For now, it collects `duration_ms` milliseconds worth of data.
*
*
* uint64 duration_ms = 1;
*/
public Builder clearDurationMs() {
durationMs_ = 0L;
onChanged();
return this;
}
private long maxEvents_ ;
/**
*
* The maximum number of events to return. By default (value 0), return all
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*
*
* uint64 max_events = 2;
*/
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}
/**
*
* The maximum number of events to return. By default (value 0), return all
* events.
*
*
* uint64 max_events = 2;
*/
public Builder setMaxEvents(long value) {
maxEvents_ = value;
onChanged();
return this;
}
/**
*
* The maximum number of events to return. By default (value 0), return all
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*
*
* uint64 max_events = 2;
*/
public Builder clearMaxEvents() {
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onChanged();
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}
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*
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*
*
* repeated string tools = 3;
*/
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*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
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*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
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*/
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*
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*
*
* repeated string tools = 3;
*/
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/**
*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
public Builder setTools(
int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureToolsIsMutable();
tools_.set(index, value);
onChanged();
return this;
}
/**
*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
public Builder addTools(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
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tools_.add(value);
onChanged();
return this;
}
/**
*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
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java.lang.Iterable values) {
ensureToolsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
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onChanged();
return this;
}
/**
*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
public Builder clearTools() {
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bitField0_ = (bitField0_ & ~0x00000004);
onChanged();
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/**
*
* Required profiling tools name such as "input_pipeline_analyzer" etc
*
*
* repeated string tools = 3;
*/
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/**
*
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*
*
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*
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*
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*
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*
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*
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*
*
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*
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*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
*/
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return this;
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/**
* Use alternate mutation accessors instead.
*/
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*
* Specifies the requirement for each tools.
*
*
* map<string, .tensorflow.ToolRequestOptions> tool_options = 8;
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*
* Specifies the requirement for each tools.
*
*
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*
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*
*
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*/
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*
* Optional profiling options that control how a TF session will be profiled.
*
*
* .tensorflow.ProfileOptions opts = 4;
*/
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*
* Optional profiling options that control how a TF session will be profiled.
*
*
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}
}
/**
*
* The file name which this data is associated (e.g. "input_pipeline.json",
* "cluster_xxx.memory_viewer.json").
*
*
* string name = 1;
*/
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getNameBytes() {
java.lang.Object ref = name_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8(
(java.lang.String) ref);
name_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
* The file name which this data is associated (e.g. "input_pipeline.json",
* "cluster_xxx.memory_viewer.json").
*
*
* string name = 1;
*/
public Builder setName(
java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
name_ = value;
onChanged();
return this;
}
/**
*
* The file name which this data is associated (e.g. "input_pipeline.json",
* "cluster_xxx.memory_viewer.json").
*
*
* string name = 1;
*/
public Builder clearName() {
name_ = getDefaultInstance().getName();
onChanged();
return this;
}
/**
*
* The file name which this data is associated (e.g. "input_pipeline.json",
* "cluster_xxx.memory_viewer.json").
*
*
* string name = 1;
*/
public Builder setNameBytes(
com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
name_ = value;
onChanged();
return this;
}
private com.google.protobuf.ByteString data_ = com.google.protobuf.ByteString.EMPTY;
/**
*
* The data payload (likely json) for the specific tool.
*
*
* bytes data = 2;
*/
public com.google.protobuf.ByteString getData() {
return data_;
}
/**
*
* The data payload (likely json) for the specific tool.
*
*
* bytes data = 2;
*/
public Builder setData(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
data_ = value;
onChanged();
return this;
}
/**
*
* The data payload (likely json) for the specific tool.
*
*
* bytes data = 2;
*/
public Builder clearData() {
data_ = getDefaultInstance().getData();
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.ProfileToolData)
}
// @@protoc_insertion_point(class_scope:tensorflow.ProfileToolData)
private static final tensorflow.TpuProfiler.ProfileToolData DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.TpuProfiler.ProfileToolData();
}
public static tensorflow.TpuProfiler.ProfileToolData getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ProfileToolData parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new ProfileToolData(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.TpuProfiler.ProfileToolData getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface ProfileResponseOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.ProfileResponse)
com.google.protobuf.MessageOrBuilder {
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
java.util.List
getComputationGraphList();
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
org.tensorflow.framework.GraphDef getComputationGraph(int index);
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
int getComputationGraphCount();
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
java.util.List
getComputationGraphOrBuilderList();
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
org.tensorflow.framework.GraphDefOrBuilder getComputationGraphOrBuilder(
int index);
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
boolean hasHloMetadata();
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
org.tensorflow.framework.RunMetadata getHloMetadata();
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
org.tensorflow.framework.RunMetadataOrBuilder getHloMetadataOrBuilder();
/**
*
* Encoded Trace proto message that contains metadata about the trace captured
* during the profiling period. Describes the devices and resources that
* 'trace_events' refers to.
*
*
* bytes encoded_trace = 3;
*/
com.google.protobuf.ByteString getEncodedTrace();
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
boolean hasOpProfile();
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
tensorflow.tpu.op_profile.OpProfile.Profile getOpProfile();
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder getOpProfileOrBuilder();
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
java.util.List
getToolDataList();
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
tensorflow.TpuProfiler.ProfileToolData getToolData(int index);
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
int getToolDataCount();
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
java.util.List
getToolDataOrBuilderList();
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
tensorflow.TpuProfiler.ProfileToolDataOrBuilder getToolDataOrBuilder(
int index);
/**
*
* When we write profiling data directly to repository directory, we need a
* way to figure out whether the captured trace is empty (due to idle TPU).
*
*
* bool empty_trace = 7;
*/
boolean getEmptyTrace();
}
/**
* Protobuf type {@code tensorflow.ProfileResponse}
*/
public static final class ProfileResponse extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.ProfileResponse)
ProfileResponseOrBuilder {
private static final long serialVersionUID = 0L;
// Use ProfileResponse.newBuilder() to construct.
private ProfileResponse(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ProfileResponse() {
computationGraph_ = java.util.Collections.emptyList();
encodedTrace_ = com.google.protobuf.ByteString.EMPTY;
toolData_ = java.util.Collections.emptyList();
emptyTrace_ = false;
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private ProfileResponse(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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this();
if (extensionRegistry == null) {
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int tag = input.readTag();
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mutable_bitField0_ |= 0x00000001;
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computationGraph_.add(
input.readMessage(org.tensorflow.framework.GraphDef.parser(), extensionRegistry));
break;
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case 26: {
encodedTrace_ = input.readBytes();
break;
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case 34: {
tensorflow.tpu.op_profile.OpProfile.Profile.Builder subBuilder = null;
if (opProfile_ != null) {
subBuilder = opProfile_.toBuilder();
}
opProfile_ = input.readMessage(tensorflow.tpu.op_profile.OpProfile.Profile.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(opProfile_);
opProfile_ = subBuilder.buildPartial();
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break;
}
case 42: {
org.tensorflow.framework.RunMetadata.Builder subBuilder = null;
if (hloMetadata_ != null) {
subBuilder = hloMetadata_.toBuilder();
}
hloMetadata_ = input.readMessage(org.tensorflow.framework.RunMetadata.parser(), extensionRegistry);
if (subBuilder != null) {
subBuilder.mergeFrom(hloMetadata_);
hloMetadata_ = subBuilder.buildPartial();
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break;
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case 50: {
if (!((mutable_bitField0_ & 0x00000010) == 0x00000010)) {
toolData_ = new java.util.ArrayList();
mutable_bitField0_ |= 0x00000010;
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toolData_.add(
input.readMessage(tensorflow.TpuProfiler.ProfileToolData.parser(), extensionRegistry));
break;
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case 56: {
emptyTrace_ = input.readBool();
break;
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default: {
if (!parseUnknownFieldProto3(
input, unknownFields, extensionRegistry, tag)) {
done = true;
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break;
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}
}
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
e).setUnfinishedMessage(this);
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if (((mutable_bitField0_ & 0x00000001) == 0x00000001)) {
computationGraph_ = java.util.Collections.unmodifiableList(computationGraph_);
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.TpuProfiler.internal_static_tensorflow_ProfileResponse_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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public static final int COMPUTATION_GRAPH_FIELD_NUMBER = 2;
private java.util.List computationGraph_;
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public java.util.List getComputationGraphList() {
return computationGraph_;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public java.util.List
getComputationGraphOrBuilderList() {
return computationGraph_;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public int getComputationGraphCount() {
return computationGraph_.size();
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public org.tensorflow.framework.GraphDef getComputationGraph(int index) {
return computationGraph_.get(index);
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public org.tensorflow.framework.GraphDefOrBuilder getComputationGraphOrBuilder(
int index) {
return computationGraph_.get(index);
}
public static final int HLO_METADATA_FIELD_NUMBER = 5;
private org.tensorflow.framework.RunMetadata hloMetadata_;
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public boolean hasHloMetadata() {
return hloMetadata_ != null;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public org.tensorflow.framework.RunMetadata getHloMetadata() {
return hloMetadata_ == null ? org.tensorflow.framework.RunMetadata.getDefaultInstance() : hloMetadata_;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public org.tensorflow.framework.RunMetadataOrBuilder getHloMetadataOrBuilder() {
return getHloMetadata();
}
public static final int ENCODED_TRACE_FIELD_NUMBER = 3;
private com.google.protobuf.ByteString encodedTrace_;
/**
*
* Encoded Trace proto message that contains metadata about the trace captured
* during the profiling period. Describes the devices and resources that
* 'trace_events' refers to.
*
*
* bytes encoded_trace = 3;
*/
public com.google.protobuf.ByteString getEncodedTrace() {
return encodedTrace_;
}
public static final int OP_PROFILE_FIELD_NUMBER = 4;
private tensorflow.tpu.op_profile.OpProfile.Profile opProfile_;
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public boolean hasOpProfile() {
return opProfile_ != null;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public tensorflow.tpu.op_profile.OpProfile.Profile getOpProfile() {
return opProfile_ == null ? tensorflow.tpu.op_profile.OpProfile.Profile.getDefaultInstance() : opProfile_;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder getOpProfileOrBuilder() {
return getOpProfile();
}
public static final int TOOL_DATA_FIELD_NUMBER = 6;
private java.util.List toolData_;
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public java.util.List getToolDataList() {
return toolData_;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public java.util.List
getToolDataOrBuilderList() {
return toolData_;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public int getToolDataCount() {
return toolData_.size();
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolData getToolData(int index) {
return toolData_.get(index);
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolDataOrBuilder getToolDataOrBuilder(
int index) {
return toolData_.get(index);
}
public static final int EMPTY_TRACE_FIELD_NUMBER = 7;
private boolean emptyTrace_;
/**
*
* When we write profiling data directly to repository directory, we need a
* way to figure out whether the captured trace is empty (due to idle TPU).
*
*
* bool empty_trace = 7;
*/
public boolean getEmptyTrace() {
return emptyTrace_;
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output)
throws java.io.IOException {
for (int i = 0; i < computationGraph_.size(); i++) {
output.writeMessage(2, computationGraph_.get(i));
}
if (!encodedTrace_.isEmpty()) {
output.writeBytes(3, encodedTrace_);
}
if (opProfile_ != null) {
output.writeMessage(4, getOpProfile());
}
if (hloMetadata_ != null) {
output.writeMessage(5, getHloMetadata());
}
for (int i = 0; i < toolData_.size(); i++) {
output.writeMessage(6, toolData_.get(i));
}
if (emptyTrace_ != false) {
output.writeBool(7, emptyTrace_);
}
unknownFields.writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
for (int i = 0; i < computationGraph_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
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if (!encodedTrace_.isEmpty()) {
size += com.google.protobuf.CodedOutputStream
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}
if (opProfile_ != null) {
size += com.google.protobuf.CodedOutputStream
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if (hloMetadata_ != null) {
size += com.google.protobuf.CodedOutputStream
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for (int i = 0; i < toolData_.size(); i++) {
size += com.google.protobuf.CodedOutputStream
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if (emptyTrace_ != false) {
size += com.google.protobuf.CodedOutputStream
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size += unknownFields.getSerializedSize();
memoizedSize = size;
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if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.TpuProfiler.ProfileResponse)) {
return super.equals(obj);
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tensorflow.TpuProfiler.ProfileResponse other = (tensorflow.TpuProfiler.ProfileResponse) obj;
boolean result = true;
result = result && getComputationGraphList()
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result = result && (hasHloMetadata() == other.hasHloMetadata());
if (hasHloMetadata()) {
result = result && getHloMetadata()
.equals(other.getHloMetadata());
}
result = result && getEncodedTrace()
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result = result && (hasOpProfile() == other.hasOpProfile());
if (hasOpProfile()) {
result = result && getOpProfile()
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}
result = result && getToolDataList()
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result = result && (getEmptyTrace()
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result = result && unknownFields.equals(other.unknownFields);
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getComputationGraphCount() > 0) {
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hash = (53 * hash) + getComputationGraphList().hashCode();
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hash = (53 * hash) + getHloMetadata().hashCode();
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hash = (37 * hash) + ENCODED_TRACE_FIELD_NUMBER;
hash = (53 * hash) + getEncodedTrace().hashCode();
if (hasOpProfile()) {
hash = (37 * hash) + OP_PROFILE_FIELD_NUMBER;
hash = (53 * hash) + getOpProfile().hashCode();
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if (getToolDataCount() > 0) {
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hash = (53 * hash) + com.google.protobuf.Internal.hashBoolean(
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
com.google.protobuf.ByteString data)
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return PARSER.parseFrom(data);
}
public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(byte[] data)
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
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public static tensorflow.TpuProfiler.ProfileResponse parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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public static Builder newBuilder() {
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public static Builder newBuilder(tensorflow.TpuProfiler.ProfileResponse prototype) {
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@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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return builder;
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/**
* Protobuf type {@code tensorflow.ProfileResponse}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.ProfileResponse)
tensorflow.TpuProfiler.ProfileResponseOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
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private int bitField0_;
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private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.GraphDef, org.tensorflow.framework.GraphDef.Builder, org.tensorflow.framework.GraphDefOrBuilder> computationGraphBuilder_;
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public java.util.List getComputationGraphList() {
if (computationGraphBuilder_ == null) {
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}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
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if (computationGraphBuilder_ == null) {
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}
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public org.tensorflow.framework.GraphDef getComputationGraph(int index) {
if (computationGraphBuilder_ == null) {
return computationGraph_.get(index);
} else {
return computationGraphBuilder_.getMessage(index);
}
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder setComputationGraph(
int index, org.tensorflow.framework.GraphDef value) {
if (computationGraphBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureComputationGraphIsMutable();
computationGraph_.set(index, value);
onChanged();
} else {
computationGraphBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder setComputationGraph(
int index, org.tensorflow.framework.GraphDef.Builder builderForValue) {
if (computationGraphBuilder_ == null) {
ensureComputationGraphIsMutable();
computationGraph_.set(index, builderForValue.build());
onChanged();
} else {
computationGraphBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder addComputationGraph(org.tensorflow.framework.GraphDef value) {
if (computationGraphBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureComputationGraphIsMutable();
computationGraph_.add(value);
onChanged();
} else {
computationGraphBuilder_.addMessage(value);
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder addComputationGraph(
int index, org.tensorflow.framework.GraphDef value) {
if (computationGraphBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureComputationGraphIsMutable();
computationGraph_.add(index, value);
onChanged();
} else {
computationGraphBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder addComputationGraph(
org.tensorflow.framework.GraphDef.Builder builderForValue) {
if (computationGraphBuilder_ == null) {
ensureComputationGraphIsMutable();
computationGraph_.add(builderForValue.build());
onChanged();
} else {
computationGraphBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder addComputationGraph(
int index, org.tensorflow.framework.GraphDef.Builder builderForValue) {
if (computationGraphBuilder_ == null) {
ensureComputationGraphIsMutable();
computationGraph_.add(index, builderForValue.build());
onChanged();
} else {
computationGraphBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder addAllComputationGraph(
java.lang.Iterable values) {
if (computationGraphBuilder_ == null) {
ensureComputationGraphIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, computationGraph_);
onChanged();
} else {
computationGraphBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder clearComputationGraph() {
if (computationGraphBuilder_ == null) {
computationGraph_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
computationGraphBuilder_.clear();
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public Builder removeComputationGraph(int index) {
if (computationGraphBuilder_ == null) {
ensureComputationGraphIsMutable();
computationGraph_.remove(index);
onChanged();
} else {
computationGraphBuilder_.remove(index);
}
return this;
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public org.tensorflow.framework.GraphDef.Builder getComputationGraphBuilder(
int index) {
return getComputationGraphFieldBuilder().getBuilder(index);
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
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int index) {
if (computationGraphBuilder_ == null) {
return computationGraph_.get(index); } else {
return computationGraphBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
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getComputationGraphOrBuilderList() {
if (computationGraphBuilder_ != null) {
return computationGraphBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(computationGraph_);
}
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
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return getComputationGraphFieldBuilder().addBuilder(
org.tensorflow.framework.GraphDef.getDefaultInstance());
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
public org.tensorflow.framework.GraphDef.Builder addComputationGraphBuilder(
int index) {
return getComputationGraphFieldBuilder().addBuilder(
index, org.tensorflow.framework.GraphDef.getDefaultInstance());
}
/**
*
* Graphs of programs executed on TPUs during the profiling period.
*
*
* repeated .tensorflow.GraphDef computation_graph = 2;
*/
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getComputationGraphBuilderList() {
return getComputationGraphFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.GraphDef, org.tensorflow.framework.GraphDef.Builder, org.tensorflow.framework.GraphDefOrBuilder>
getComputationGraphFieldBuilder() {
if (computationGraphBuilder_ == null) {
computationGraphBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
org.tensorflow.framework.GraphDef, org.tensorflow.framework.GraphDef.Builder, org.tensorflow.framework.GraphDefOrBuilder>(
computationGraph_,
((bitField0_ & 0x00000001) == 0x00000001),
getParentForChildren(),
isClean());
computationGraph_ = null;
}
return computationGraphBuilder_;
}
private org.tensorflow.framework.RunMetadata hloMetadata_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunMetadata, org.tensorflow.framework.RunMetadata.Builder, org.tensorflow.framework.RunMetadataOrBuilder> hloMetadataBuilder_;
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public boolean hasHloMetadata() {
return hloMetadataBuilder_ != null || hloMetadata_ != null;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public org.tensorflow.framework.RunMetadata getHloMetadata() {
if (hloMetadataBuilder_ == null) {
return hloMetadata_ == null ? org.tensorflow.framework.RunMetadata.getDefaultInstance() : hloMetadata_;
} else {
return hloMetadataBuilder_.getMessage();
}
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public Builder setHloMetadata(org.tensorflow.framework.RunMetadata value) {
if (hloMetadataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
hloMetadata_ = value;
onChanged();
} else {
hloMetadataBuilder_.setMessage(value);
}
return this;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public Builder setHloMetadata(
org.tensorflow.framework.RunMetadata.Builder builderForValue) {
if (hloMetadataBuilder_ == null) {
hloMetadata_ = builderForValue.build();
onChanged();
} else {
hloMetadataBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public Builder mergeHloMetadata(org.tensorflow.framework.RunMetadata value) {
if (hloMetadataBuilder_ == null) {
if (hloMetadata_ != null) {
hloMetadata_ =
org.tensorflow.framework.RunMetadata.newBuilder(hloMetadata_).mergeFrom(value).buildPartial();
} else {
hloMetadata_ = value;
}
onChanged();
} else {
hloMetadataBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public Builder clearHloMetadata() {
if (hloMetadataBuilder_ == null) {
hloMetadata_ = null;
onChanged();
} else {
hloMetadata_ = null;
hloMetadataBuilder_ = null;
}
return this;
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public org.tensorflow.framework.RunMetadata.Builder getHloMetadataBuilder() {
onChanged();
return getHloMetadataFieldBuilder().getBuilder();
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
public org.tensorflow.framework.RunMetadataOrBuilder getHloMetadataOrBuilder() {
if (hloMetadataBuilder_ != null) {
return hloMetadataBuilder_.getMessageOrBuilder();
} else {
return hloMetadata_ == null ?
org.tensorflow.framework.RunMetadata.getDefaultInstance() : hloMetadata_;
}
}
/**
*
* Performance profile that can be used to annotate HLO operations in the
* computation graph.
*
*
* .tensorflow.RunMetadata hlo_metadata = 5;
*/
private com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunMetadata, org.tensorflow.framework.RunMetadata.Builder, org.tensorflow.framework.RunMetadataOrBuilder>
getHloMetadataFieldBuilder() {
if (hloMetadataBuilder_ == null) {
hloMetadataBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
org.tensorflow.framework.RunMetadata, org.tensorflow.framework.RunMetadata.Builder, org.tensorflow.framework.RunMetadataOrBuilder>(
getHloMetadata(),
getParentForChildren(),
isClean());
hloMetadata_ = null;
}
return hloMetadataBuilder_;
}
private com.google.protobuf.ByteString encodedTrace_ = com.google.protobuf.ByteString.EMPTY;
/**
*
* Encoded Trace proto message that contains metadata about the trace captured
* during the profiling period. Describes the devices and resources that
* 'trace_events' refers to.
*
*
* bytes encoded_trace = 3;
*/
public com.google.protobuf.ByteString getEncodedTrace() {
return encodedTrace_;
}
/**
*
* Encoded Trace proto message that contains metadata about the trace captured
* during the profiling period. Describes the devices and resources that
* 'trace_events' refers to.
*
*
* bytes encoded_trace = 3;
*/
public Builder setEncodedTrace(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
encodedTrace_ = value;
onChanged();
return this;
}
/**
*
* Encoded Trace proto message that contains metadata about the trace captured
* during the profiling period. Describes the devices and resources that
* 'trace_events' refers to.
*
*
* bytes encoded_trace = 3;
*/
public Builder clearEncodedTrace() {
encodedTrace_ = getDefaultInstance().getEncodedTrace();
onChanged();
return this;
}
private tensorflow.tpu.op_profile.OpProfile.Profile opProfile_ = null;
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tpu.op_profile.OpProfile.Profile, tensorflow.tpu.op_profile.OpProfile.Profile.Builder, tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder> opProfileBuilder_;
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public boolean hasOpProfile() {
return opProfileBuilder_ != null || opProfile_ != null;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public tensorflow.tpu.op_profile.OpProfile.Profile getOpProfile() {
if (opProfileBuilder_ == null) {
return opProfile_ == null ? tensorflow.tpu.op_profile.OpProfile.Profile.getDefaultInstance() : opProfile_;
} else {
return opProfileBuilder_.getMessage();
}
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public Builder setOpProfile(tensorflow.tpu.op_profile.OpProfile.Profile value) {
if (opProfileBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
opProfile_ = value;
onChanged();
} else {
opProfileBuilder_.setMessage(value);
}
return this;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public Builder setOpProfile(
tensorflow.tpu.op_profile.OpProfile.Profile.Builder builderForValue) {
if (opProfileBuilder_ == null) {
opProfile_ = builderForValue.build();
onChanged();
} else {
opProfileBuilder_.setMessage(builderForValue.build());
}
return this;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public Builder mergeOpProfile(tensorflow.tpu.op_profile.OpProfile.Profile value) {
if (opProfileBuilder_ == null) {
if (opProfile_ != null) {
opProfile_ =
tensorflow.tpu.op_profile.OpProfile.Profile.newBuilder(opProfile_).mergeFrom(value).buildPartial();
} else {
opProfile_ = value;
}
onChanged();
} else {
opProfileBuilder_.mergeFrom(value);
}
return this;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public Builder clearOpProfile() {
if (opProfileBuilder_ == null) {
opProfile_ = null;
onChanged();
} else {
opProfile_ = null;
opProfileBuilder_ = null;
}
return this;
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public tensorflow.tpu.op_profile.OpProfile.Profile.Builder getOpProfileBuilder() {
onChanged();
return getOpProfileFieldBuilder().getBuilder();
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
public tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder getOpProfileOrBuilder() {
if (opProfileBuilder_ != null) {
return opProfileBuilder_.getMessageOrBuilder();
} else {
return opProfile_ == null ?
tensorflow.tpu.op_profile.OpProfile.Profile.getDefaultInstance() : opProfile_;
}
}
/**
*
* Assembles a hierarchical performance profile based on HLOs in trace events.
* If the trace covers multiple programs, the longest-running one is analyzed.
* See op_profile.proto for the detailed semantics of the returned profile.
*
*
* .tensorflow.tpu.op_profile.Profile op_profile = 4;
*/
private com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tpu.op_profile.OpProfile.Profile, tensorflow.tpu.op_profile.OpProfile.Profile.Builder, tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder>
getOpProfileFieldBuilder() {
if (opProfileBuilder_ == null) {
opProfileBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
tensorflow.tpu.op_profile.OpProfile.Profile, tensorflow.tpu.op_profile.OpProfile.Profile.Builder, tensorflow.tpu.op_profile.OpProfile.ProfileOrBuilder>(
getOpProfile(),
getParentForChildren(),
isClean());
opProfile_ = null;
}
return opProfileBuilder_;
}
private java.util.List toolData_ =
java.util.Collections.emptyList();
private void ensureToolDataIsMutable() {
if (!((bitField0_ & 0x00000010) == 0x00000010)) {
toolData_ = new java.util.ArrayList(toolData_);
bitField0_ |= 0x00000010;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.TpuProfiler.ProfileToolData, tensorflow.TpuProfiler.ProfileToolData.Builder, tensorflow.TpuProfiler.ProfileToolDataOrBuilder> toolDataBuilder_;
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public java.util.List getToolDataList() {
if (toolDataBuilder_ == null) {
return java.util.Collections.unmodifiableList(toolData_);
} else {
return toolDataBuilder_.getMessageList();
}
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public int getToolDataCount() {
if (toolDataBuilder_ == null) {
return toolData_.size();
} else {
return toolDataBuilder_.getCount();
}
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolData getToolData(int index) {
if (toolDataBuilder_ == null) {
return toolData_.get(index);
} else {
return toolDataBuilder_.getMessage(index);
}
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder setToolData(
int index, tensorflow.TpuProfiler.ProfileToolData value) {
if (toolDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureToolDataIsMutable();
toolData_.set(index, value);
onChanged();
} else {
toolDataBuilder_.setMessage(index, value);
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder setToolData(
int index, tensorflow.TpuProfiler.ProfileToolData.Builder builderForValue) {
if (toolDataBuilder_ == null) {
ensureToolDataIsMutable();
toolData_.set(index, builderForValue.build());
onChanged();
} else {
toolDataBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder addToolData(tensorflow.TpuProfiler.ProfileToolData value) {
if (toolDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureToolDataIsMutable();
toolData_.add(value);
onChanged();
} else {
toolDataBuilder_.addMessage(value);
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder addToolData(
int index, tensorflow.TpuProfiler.ProfileToolData value) {
if (toolDataBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureToolDataIsMutable();
toolData_.add(index, value);
onChanged();
} else {
toolDataBuilder_.addMessage(index, value);
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder addToolData(
tensorflow.TpuProfiler.ProfileToolData.Builder builderForValue) {
if (toolDataBuilder_ == null) {
ensureToolDataIsMutable();
toolData_.add(builderForValue.build());
onChanged();
} else {
toolDataBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder addToolData(
int index, tensorflow.TpuProfiler.ProfileToolData.Builder builderForValue) {
if (toolDataBuilder_ == null) {
ensureToolDataIsMutable();
toolData_.add(index, builderForValue.build());
onChanged();
} else {
toolDataBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder addAllToolData(
java.lang.Iterable values) {
if (toolDataBuilder_ == null) {
ensureToolDataIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(
values, toolData_);
onChanged();
} else {
toolDataBuilder_.addAllMessages(values);
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder clearToolData() {
if (toolDataBuilder_ == null) {
toolData_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000010);
onChanged();
} else {
toolDataBuilder_.clear();
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public Builder removeToolData(int index) {
if (toolDataBuilder_ == null) {
ensureToolDataIsMutable();
toolData_.remove(index);
onChanged();
} else {
toolDataBuilder_.remove(index);
}
return this;
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolData.Builder getToolDataBuilder(
int index) {
return getToolDataFieldBuilder().getBuilder(index);
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolDataOrBuilder getToolDataOrBuilder(
int index) {
if (toolDataBuilder_ == null) {
return toolData_.get(index); } else {
return toolDataBuilder_.getMessageOrBuilder(index);
}
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public java.util.List
getToolDataOrBuilderList() {
if (toolDataBuilder_ != null) {
return toolDataBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(toolData_);
}
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolData.Builder addToolDataBuilder() {
return getToolDataFieldBuilder().addBuilder(
tensorflow.TpuProfiler.ProfileToolData.getDefaultInstance());
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public tensorflow.TpuProfiler.ProfileToolData.Builder addToolDataBuilder(
int index) {
return getToolDataFieldBuilder().addBuilder(
index, tensorflow.TpuProfiler.ProfileToolData.getDefaultInstance());
}
/**
*
* Data payload for each required tools.
*
*
* repeated .tensorflow.ProfileToolData tool_data = 6;
*/
public java.util.List
getToolDataBuilderList() {
return getToolDataFieldBuilder().getBuilderList();
}
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tensorflow.TpuProfiler.ProfileToolData, tensorflow.TpuProfiler.ProfileToolData.Builder, tensorflow.TpuProfiler.ProfileToolDataOrBuilder>
getToolDataFieldBuilder() {
if (toolDataBuilder_ == null) {
toolDataBuilder_ = new com.google.protobuf.RepeatedFieldBuilderV3<
tensorflow.TpuProfiler.ProfileToolData, tensorflow.TpuProfiler.ProfileToolData.Builder, tensorflow.TpuProfiler.ProfileToolDataOrBuilder>(
toolData_,
((bitField0_ & 0x00000010) == 0x00000010),
getParentForChildren(),
isClean());
toolData_ = null;
}
return toolDataBuilder_;
}
private boolean emptyTrace_ ;
/**
*
* When we write profiling data directly to repository directory, we need a
* way to figure out whether the captured trace is empty (due to idle TPU).
*
*
* bool empty_trace = 7;
*/
public boolean getEmptyTrace() {
return emptyTrace_;
}
/**
*
* When we write profiling data directly to repository directory, we need a
* way to figure out whether the captured trace is empty (due to idle TPU).
*
*
* bool empty_trace = 7;
*/
public Builder setEmptyTrace(boolean value) {
emptyTrace_ = value;
onChanged();
return this;
}
/**
*
* When we write profiling data directly to repository directory, we need a
* way to figure out whether the captured trace is empty (due to idle TPU).
*
*
* bool empty_trace = 7;
*/
public Builder clearEmptyTrace() {
emptyTrace_ = false;
onChanged();
return this;
}
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public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFieldsProto3(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:tensorflow.ProfileResponse)
}
// @@protoc_insertion_point(class_scope:tensorflow.ProfileResponse)
private static final tensorflow.TpuProfiler.ProfileResponse DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new tensorflow.TpuProfiler.ProfileResponse();
}
public static tensorflow.TpuProfiler.ProfileResponse getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ProfileResponse parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return new ProfileResponse(input, extensionRegistry);
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public tensorflow.TpuProfiler.ProfileResponse getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public interface MonitorRequestOrBuilder extends
// @@protoc_insertion_point(interface_extends:tensorflow.MonitorRequest)
com.google.protobuf.MessageOrBuilder {
/**
*
* Duration for which to profile between each update.
*
*
* uint64 duration_ms = 1;
*/
long getDurationMs();
/**
*
* Indicates the level at which we want to monitor. Currently, two levels are
* supported:
* Level 1: An ultra lightweight mode that captures only some utilization
* metrics.
* Level 2: More verbose than level 1. Collects utilization metrics, device
* information, step time information, etc. Do not use this option if the TPU
* host is being very heavily used.
*
*
* int32 monitoring_level = 2;
*/
int getMonitoringLevel();
}
/**
* Protobuf type {@code tensorflow.MonitorRequest}
*/
public static final class MonitorRequest extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.MonitorRequest)
MonitorRequestOrBuilder {
private static final long serialVersionUID = 0L;
// Use MonitorRequest.newBuilder() to construct.
private MonitorRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private MonitorRequest() {
durationMs_ = 0L;
monitoringLevel_ = 0;
}
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com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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this();
if (extensionRegistry == null) {
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monitoringLevel_ = input.readInt32();
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if (!parseUnknownFieldProto3(
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throw e.setUnfinishedMessage(this);
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(
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this.unknownFields = unknownFields.build();
makeExtensionsImmutable();
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.TpuProfiler.internal_static_tensorflow_MonitorRequest_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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return tensorflow.TpuProfiler.internal_static_tensorflow_MonitorRequest_fieldAccessorTable
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public static final int DURATION_MS_FIELD_NUMBER = 1;
private long durationMs_;
/**
*
* Duration for which to profile between each update.
*
*
* uint64 duration_ms = 1;
*/
public long getDurationMs() {
return durationMs_;
}
public static final int MONITORING_LEVEL_FIELD_NUMBER = 2;
private int monitoringLevel_;
/**
*
* Indicates the level at which we want to monitor. Currently, two levels are
* supported:
* Level 1: An ultra lightweight mode that captures only some utilization
* metrics.
* Level 2: More verbose than level 1. Collects utilization metrics, device
* information, step time information, etc. Do not use this option if the TPU
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*
*
* int32 monitoring_level = 2;
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if (durationMs_ != 0L) {
output.writeUInt64(1, durationMs_);
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if (monitoringLevel_ != 0) {
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unknownFields.writeTo(output);
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int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (durationMs_ != 0L) {
size += com.google.protobuf.CodedOutputStream
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size += unknownFields.getSerializedSize();
memoizedSize = size;
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@java.lang.Override
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if (obj == this) {
return true;
}
if (!(obj instanceof tensorflow.TpuProfiler.MonitorRequest)) {
return super.equals(obj);
}
tensorflow.TpuProfiler.MonitorRequest other = (tensorflow.TpuProfiler.MonitorRequest) obj;
boolean result = true;
result = result && (getDurationMs()
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result = result && (getMonitoringLevel()
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result = result && unknownFields.equals(other.unknownFields);
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if (memoizedHashCode != 0) {
return memoizedHashCode;
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int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
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java.nio.ByteBuffer data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static tensorflow.TpuProfiler.MonitorRequest parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
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public static tensorflow.TpuProfiler.MonitorRequest parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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public static tensorflow.TpuProfiler.MonitorRequest parseFrom(
java.io.InputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.TpuProfiler.MonitorRequest parseDelimitedFrom(java.io.InputStream input)
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public static tensorflow.TpuProfiler.MonitorRequest parseDelimitedFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.TpuProfiler.MonitorRequest parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
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public static tensorflow.TpuProfiler.MonitorRequest parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3
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@java.lang.Override
public Builder newBuilderForType() { return newBuilder(); }
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
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public static Builder newBuilder(tensorflow.TpuProfiler.MonitorRequest prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
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return this == DEFAULT_INSTANCE
? new Builder() : new Builder().mergeFrom(this);
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@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
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/**
* Protobuf type {@code tensorflow.MonitorRequest}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.MonitorRequest)
tensorflow.TpuProfiler.MonitorRequestOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return tensorflow.TpuProfiler.internal_static_tensorflow_MonitorRequest_descriptor;
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durationMs_ = 0L;
monitoringLevel_ = 0;
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result.durationMs_ = durationMs_;
result.monitoringLevel_ = monitoringLevel_;
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com.google.protobuf.Descriptors.FieldDescriptor field,
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com.google.protobuf.Descriptors.FieldDescriptor field) {
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com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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@java.lang.Override
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com.google.protobuf.Descriptors.FieldDescriptor field,
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public Builder mergeFrom(tensorflow.TpuProfiler.MonitorRequest other) {
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com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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tensorflow.TpuProfiler.MonitorRequest parsedMessage = null;
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private long durationMs_ ;
/**
*
* Duration for which to profile between each update.
*
*
* uint64 duration_ms = 1;
*/
public long getDurationMs() {
return durationMs_;
}
/**
*
* Duration for which to profile between each update.
*
*
* uint64 duration_ms = 1;
*/
public Builder setDurationMs(long value) {
durationMs_ = value;
onChanged();
return this;
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internal_static_tensorflow_ProfileRequest_descriptor,
new java.lang.String[] { "DurationMs", "MaxEvents", "Tools", "ToolOptions", "Opts", "RepositoryRoot", "SessionId", "HostName", });
internal_static_tensorflow_ProfileRequest_ToolOptionsEntry_descriptor =
internal_static_tensorflow_ProfileRequest_descriptor.getNestedTypes().get(0);
internal_static_tensorflow_ProfileRequest_ToolOptionsEntry_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ProfileRequest_ToolOptionsEntry_descriptor,
new java.lang.String[] { "Key", "Value", });
internal_static_tensorflow_ProfileToolData_descriptor =
getDescriptor().getMessageTypes().get(3);
internal_static_tensorflow_ProfileToolData_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ProfileToolData_descriptor,
new java.lang.String[] { "Name", "Data", });
internal_static_tensorflow_ProfileResponse_descriptor =
getDescriptor().getMessageTypes().get(4);
internal_static_tensorflow_ProfileResponse_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_ProfileResponse_descriptor,
new java.lang.String[] { "ComputationGraph", "HloMetadata", "EncodedTrace", "OpProfile", "ToolData", "EmptyTrace", });
internal_static_tensorflow_MonitorRequest_descriptor =
getDescriptor().getMessageTypes().get(5);
internal_static_tensorflow_MonitorRequest_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_MonitorRequest_descriptor,
new java.lang.String[] { "DurationMs", "MonitoringLevel", });
internal_static_tensorflow_MonitorResponse_descriptor =
getDescriptor().getMessageTypes().get(6);
internal_static_tensorflow_MonitorResponse_fieldAccessorTable = new
com.google.protobuf.GeneratedMessageV3.FieldAccessorTable(
internal_static_tensorflow_MonitorResponse_descriptor,
new java.lang.String[] { "Data", });
org.tensorflow.framework.GraphProtos.getDescriptor();
org.tensorflow.framework.ConfigProtos.getDescriptor();
tensorflow.tpu.op_profile.OpProfile.getDescriptor();
}
// @@protoc_insertion_point(outer_class_scope)
}
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