// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/profiler/profiler_options.proto

package org.tensorflow.proto.profiler;

/**
 * <pre>
 * Next ID: 11
 * </pre>
 *
 * Protobuf type {@code tensorflow.ProfileOptions}
 */
public  final class ProfileOptions extends
    com.google.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.ProfileOptions)
    ProfileOptionsOrBuilder {
private static final long serialVersionUID = 0L;
  // Use ProfileOptions.newBuilder() to construct.
  private ProfileOptions(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
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    repositoryPath_ = "";
  }

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  public static final com.google.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.proto.profiler.ProfilerOptionsProtos.internal_static_tensorflow_ProfileOptions_descriptor;
  }

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  /**
   * Protobuf enum {@code tensorflow.ProfileOptions.DeviceType}
   */
  public enum DeviceType
      implements com.google.protobuf.ProtocolMessageEnum {
    /**
     * <code>UNSPECIFIED = 0;</code>
     */
    UNSPECIFIED(0),
    /**
     * <code>CPU = 1;</code>
     */
    CPU(1),
    /**
     * <code>GPU = 2;</code>
     */
    GPU(2),
    /**
     * <code>TPU = 3;</code>
     */
    TPU(3),
    UNRECOGNIZED(-1),
    ;

    /**
     * <code>UNSPECIFIED = 0;</code>
     */
    public static final int UNSPECIFIED_VALUE = 0;
    /**
     * <code>CPU = 1;</code>
     */
    public static final int CPU_VALUE = 1;
    /**
     * <code>GPU = 2;</code>
     */
    public static final int GPU_VALUE = 2;
    /**
     * <code>TPU = 3;</code>
     */
    public static final int TPU_VALUE = 3;


    public final int getNumber() {
      if (this == UNRECOGNIZED) {
        throw new java.lang.IllegalArgumentException(
            "Can't get the number of an unknown enum value.");
      }
      return value;
    }

    /**
     * @deprecated Use {@link #forNumber(int)} instead.
     */
    @java.lang.Deprecated
    public static DeviceType valueOf(int value) {
      return forNumber(value);
    }

    public static DeviceType forNumber(int value) {
      switch (value) {
        case 0: return UNSPECIFIED;
        case 1: return CPU;
        case 2: return GPU;
        case 3: return TPU;
        default: return null;
      }
    }

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    private DeviceType(int value) {
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    // @@protoc_insertion_point(enum_scope:tensorflow.ProfileOptions.DeviceType)
  }

  public static final int VERSION_FIELD_NUMBER = 5;
  private int version_;
  /**
   * <pre>
   * Some default value of option are not proto3 default value. Use this version
   * to determine if we should use default option value instead of proto3
   * default value.
   * </pre>
   *
   * <code>uint32 version = 5;</code>
   */
  public int getVersion() {
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  }

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  private int deviceType_;
  /**
   * <pre>
   * Device type to profile/trace: (version &gt;= 1)
   * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
   * DeviceType::CPU: only CPU will be profiled.
   * DeviceType::GPU: only CPU/GPU will be profiled.
   * DeviceType::TPU: only CPU/TPU will be profiled.
   * </pre>
   *
   * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
   */
  public int getDeviceTypeValue() {
    return deviceType_;
  }
  /**
   * <pre>
   * Device type to profile/trace: (version &gt;= 1)
   * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
   * DeviceType::CPU: only CPU will be profiled.
   * DeviceType::GPU: only CPU/GPU will be profiled.
   * DeviceType::TPU: only CPU/TPU will be profiled.
   * </pre>
   *
   * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
   */
  public org.tensorflow.proto.profiler.ProfileOptions.DeviceType getDeviceType() {
    @SuppressWarnings("deprecation")
    org.tensorflow.proto.profiler.ProfileOptions.DeviceType result = org.tensorflow.proto.profiler.ProfileOptions.DeviceType.valueOf(deviceType_);
    return result == null ? org.tensorflow.proto.profiler.ProfileOptions.DeviceType.UNRECOGNIZED : result;
  }

  public static final int INCLUDE_DATASET_OPS_FIELD_NUMBER = 1;
  private boolean includeDatasetOps_;
  /**
   * <pre>
   * We don't collect the dataset ops by default for better trace-viewer
   * scalability. The caller can mannually set this field to include the ops.
   * </pre>
   *
   * <code>bool include_dataset_ops = 1;</code>
   */
  public boolean getIncludeDatasetOps() {
    return includeDatasetOps_;
  }

  public static final int HOST_TRACER_LEVEL_FIELD_NUMBER = 2;
  private int hostTracerLevel_;
  /**
   * <pre>
   * Levels of host tracing: (version &gt;= 1)
   * - Level 0 is used to disable host traces.
   * - Level 1 enables tracing of only user instrumented (or default) TraceMe.
   * - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high
   *           level program execution details (expensive TF ops, XLA ops, etc).
   *           This is the default.
   * - Level 3 enables tracing of all level 2 TraceMe(s) and more verbose
   *           (low-level) program execution details (cheap TF ops, etc).
   * </pre>
   *
   * <code>uint32 host_tracer_level = 2;</code>
   */
  public int getHostTracerLevel() {
    return hostTracerLevel_;
  }

  public static final int DEVICE_TRACER_LEVEL_FIELD_NUMBER = 3;
  private int deviceTracerLevel_;
  /**
   * <pre>
   * Levels of device tracing: (version &gt;= 1)
   * - Level 0 is used to disable device traces.
   * - Level 1 is used to enable device traces.
   * - More levels might be defined for specific device for controlling the
   *   verbosity of the trace.
   * </pre>
   *
   * <code>uint32 device_tracer_level = 3;</code>
   */
  public int getDeviceTracerLevel() {
    return deviceTracerLevel_;
  }

  public static final int PYTHON_TRACER_LEVEL_FIELD_NUMBER = 4;
  private int pythonTracerLevel_;
  /**
   * <pre>
   * Whether enable python function calls tracing. Runtime overhead ensues if
   * enabled. Default off. (version &gt;= 1)
   * </pre>
   *
   * <code>uint32 python_tracer_level = 4;</code>
   */
  public int getPythonTracerLevel() {
    return pythonTracerLevel_;
  }

  public static final int ENABLE_HLO_PROTO_FIELD_NUMBER = 7;
  private boolean enableHloProto_;
  /**
   * <pre>
   * Whether serialize hlo_proto when XLA is used. (version &gt;= 1)
   * </pre>
   *
   * <code>bool enable_hlo_proto = 7;</code>
   */
  public boolean getEnableHloProto() {
    return enableHloProto_;
  }

  public static final int START_TIMESTAMP_NS_FIELD_NUMBER = 8;
  private long startTimestampNs_;
  /**
   * <pre>
   * The local profiler starts profiling at this Unix timestamp in nanoseconds.
   * </pre>
   *
   * <code>uint64 start_timestamp_ns = 8;</code>
   */
  public long getStartTimestampNs() {
    return startTimestampNs_;
  }

  public static final int DURATION_MS_FIELD_NUMBER = 9;
  private long durationMs_;
  /**
   * <pre>
   * The local profiler collects `duration_ms` milliseconds of data. If the
   * value is 0, profiling continues until interrupted.
   * </pre>
   *
   * <code>uint64 duration_ms = 9;</code>
   */
  public long getDurationMs() {
    return durationMs_;
  }

  public static final int REPOSITORY_PATH_FIELD_NUMBER = 10;
  private volatile java.lang.Object repositoryPath_;
  /**
   * <pre>
   * Directory to save profile data to. No-op when empty.
   * </pre>
   *
   * <code>string repository_path = 10;</code>
   */
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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();
      repositoryPath_ = s;
      return s;
    }
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  /**
   * <pre>
   * Directory to save profile data to. No-op when empty.
   * </pre>
   *
   * <code>string repository_path = 10;</code>
   */
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        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public org.tensorflow.proto.profiler.ProfileOptions buildPartial() {
      org.tensorflow.proto.profiler.ProfileOptions result = new org.tensorflow.proto.profiler.ProfileOptions(this);
      result.version_ = version_;
      result.deviceType_ = deviceType_;
      result.includeDatasetOps_ = includeDatasetOps_;
      result.hostTracerLevel_ = hostTracerLevel_;
      result.deviceTracerLevel_ = deviceTracerLevel_;
      result.pythonTracerLevel_ = pythonTracerLevel_;
      result.enableHloProto_ = enableHloProto_;
      result.startTimestampNs_ = startTimestampNs_;
      result.durationMs_ = durationMs_;
      result.repositoryPath_ = repositoryPath_;
      onBuilt();
      return result;
    }

    @java.lang.Override
    public Builder clone() {
      return super.clone();
    }
    @java.lang.Override
    public Builder setField(
        com.google.protobuf.Descriptors.FieldDescriptor field,
        java.lang.Object value) {
      return super.setField(field, value);
    }
    @java.lang.Override
    public Builder clearField(
        com.google.protobuf.Descriptors.FieldDescriptor field) {
      return super.clearField(field);
    }
    @java.lang.Override
    public Builder clearOneof(
        com.google.protobuf.Descriptors.OneofDescriptor oneof) {
      return super.clearOneof(oneof);
    }
    @java.lang.Override
    public Builder setRepeatedField(
        com.google.protobuf.Descriptors.FieldDescriptor field,
        int index, java.lang.Object value) {
      return super.setRepeatedField(field, index, value);
    }
    @java.lang.Override
    public Builder addRepeatedField(
        com.google.protobuf.Descriptors.FieldDescriptor field,
        java.lang.Object value) {
      return super.addRepeatedField(field, value);
    }
    @java.lang.Override
    public Builder mergeFrom(com.google.protobuf.Message other) {
      if (other instanceof org.tensorflow.proto.profiler.ProfileOptions) {
        return mergeFrom((org.tensorflow.proto.profiler.ProfileOptions)other);
      } else {
        super.mergeFrom(other);
        return this;
      }
    }

    public Builder mergeFrom(org.tensorflow.proto.profiler.ProfileOptions other) {
      if (other == org.tensorflow.proto.profiler.ProfileOptions.getDefaultInstance()) return this;
      if (other.getVersion() != 0) {
        setVersion(other.getVersion());
      }
      if (other.deviceType_ != 0) {
        setDeviceTypeValue(other.getDeviceTypeValue());
      }
      if (other.getIncludeDatasetOps() != false) {
        setIncludeDatasetOps(other.getIncludeDatasetOps());
      }
      if (other.getHostTracerLevel() != 0) {
        setHostTracerLevel(other.getHostTracerLevel());
      }
      if (other.getDeviceTracerLevel() != 0) {
        setDeviceTracerLevel(other.getDeviceTracerLevel());
      }
      if (other.getPythonTracerLevel() != 0) {
        setPythonTracerLevel(other.getPythonTracerLevel());
      }
      if (other.getEnableHloProto() != false) {
        setEnableHloProto(other.getEnableHloProto());
      }
      if (other.getStartTimestampNs() != 0L) {
        setStartTimestampNs(other.getStartTimestampNs());
      }
      if (other.getDurationMs() != 0L) {
        setDurationMs(other.getDurationMs());
      }
      if (!other.getRepositoryPath().isEmpty()) {
        repositoryPath_ = other.repositoryPath_;
        onChanged();
      }
      this.mergeUnknownFields(other.unknownFields);
      onChanged();
      return this;
    }

    @java.lang.Override
    public final boolean isInitialized() {
      return true;
    }

    @java.lang.Override
    public Builder mergeFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws java.io.IOException {
      org.tensorflow.proto.profiler.ProfileOptions parsedMessage = null;
      try {
        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        parsedMessage = (org.tensorflow.proto.profiler.ProfileOptions) e.getUnfinishedMessage();
        throw e.unwrapIOException();
      } finally {
        if (parsedMessage != null) {
          mergeFrom(parsedMessage);
        }
      }
      return this;
    }

    private int version_ ;
    /**
     * <pre>
     * Some default value of option are not proto3 default value. Use this version
     * to determine if we should use default option value instead of proto3
     * default value.
     * </pre>
     *
     * <code>uint32 version = 5;</code>
     */
    public int getVersion() {
      return version_;
    }
    /**
     * <pre>
     * Some default value of option are not proto3 default value. Use this version
     * to determine if we should use default option value instead of proto3
     * default value.
     * </pre>
     *
     * <code>uint32 version = 5;</code>
     */
    public Builder setVersion(int value) {
      
      version_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Some default value of option are not proto3 default value. Use this version
     * to determine if we should use default option value instead of proto3
     * default value.
     * </pre>
     *
     * <code>uint32 version = 5;</code>
     */
    public Builder clearVersion() {
      
      version_ = 0;
      onChanged();
      return this;
    }

    private int deviceType_ = 0;
    /**
     * <pre>
     * Device type to profile/trace: (version &gt;= 1)
     * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
     * DeviceType::CPU: only CPU will be profiled.
     * DeviceType::GPU: only CPU/GPU will be profiled.
     * DeviceType::TPU: only CPU/TPU will be profiled.
     * </pre>
     *
     * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
     */
    public int getDeviceTypeValue() {
      return deviceType_;
    }
    /**
     * <pre>
     * Device type to profile/trace: (version &gt;= 1)
     * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
     * DeviceType::CPU: only CPU will be profiled.
     * DeviceType::GPU: only CPU/GPU will be profiled.
     * DeviceType::TPU: only CPU/TPU will be profiled.
     * </pre>
     *
     * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
     */
    public Builder setDeviceTypeValue(int value) {
      deviceType_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Device type to profile/trace: (version &gt;= 1)
     * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
     * DeviceType::CPU: only CPU will be profiled.
     * DeviceType::GPU: only CPU/GPU will be profiled.
     * DeviceType::TPU: only CPU/TPU will be profiled.
     * </pre>
     *
     * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
     */
    public org.tensorflow.proto.profiler.ProfileOptions.DeviceType getDeviceType() {
      @SuppressWarnings("deprecation")
      org.tensorflow.proto.profiler.ProfileOptions.DeviceType result = org.tensorflow.proto.profiler.ProfileOptions.DeviceType.valueOf(deviceType_);
      return result == null ? org.tensorflow.proto.profiler.ProfileOptions.DeviceType.UNRECOGNIZED : result;
    }
    /**
     * <pre>
     * Device type to profile/trace: (version &gt;= 1)
     * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
     * DeviceType::CPU: only CPU will be profiled.
     * DeviceType::GPU: only CPU/GPU will be profiled.
     * DeviceType::TPU: only CPU/TPU will be profiled.
     * </pre>
     *
     * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
     */
    public Builder setDeviceType(org.tensorflow.proto.profiler.ProfileOptions.DeviceType value) {
      if (value == null) {
        throw new NullPointerException();
      }
      
      deviceType_ = value.getNumber();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Device type to profile/trace: (version &gt;= 1)
     * DeviceType::UNSPECIFIED: All registered device profiler will be enabled.
     * DeviceType::CPU: only CPU will be profiled.
     * DeviceType::GPU: only CPU/GPU will be profiled.
     * DeviceType::TPU: only CPU/TPU will be profiled.
     * </pre>
     *
     * <code>.tensorflow.ProfileOptions.DeviceType device_type = 6;</code>
     */
    public Builder clearDeviceType() {
      
      deviceType_ = 0;
      onChanged();
      return this;
    }

    private boolean includeDatasetOps_ ;
    /**
     * <pre>
     * We don't collect the dataset ops by default for better trace-viewer
     * scalability. The caller can mannually set this field to include the ops.
     * </pre>
     *
     * <code>bool include_dataset_ops = 1;</code>
     */
    public boolean getIncludeDatasetOps() {
      return includeDatasetOps_;
    }
    /**
     * <pre>
     * We don't collect the dataset ops by default for better trace-viewer
     * scalability. The caller can mannually set this field to include the ops.
     * </pre>
     *
     * <code>bool include_dataset_ops = 1;</code>
     */
    public Builder setIncludeDatasetOps(boolean value) {
      
      includeDatasetOps_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * We don't collect the dataset ops by default for better trace-viewer
     * scalability. The caller can mannually set this field to include the ops.
     * </pre>
     *
     * <code>bool include_dataset_ops = 1;</code>
     */
    public Builder clearIncludeDatasetOps() {
      
      includeDatasetOps_ = false;
      onChanged();
      return this;
    }

    private int hostTracerLevel_ ;
    /**
     * <pre>
     * Levels of host tracing: (version &gt;= 1)
     * - Level 0 is used to disable host traces.
     * - Level 1 enables tracing of only user instrumented (or default) TraceMe.
     * - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high
     *           level program execution details (expensive TF ops, XLA ops, etc).
     *           This is the default.
     * - Level 3 enables tracing of all level 2 TraceMe(s) and more verbose
     *           (low-level) program execution details (cheap TF ops, etc).
     * </pre>
     *
     * <code>uint32 host_tracer_level = 2;</code>
     */
    public int getHostTracerLevel() {
      return hostTracerLevel_;
    }
    /**
     * <pre>
     * Levels of host tracing: (version &gt;= 1)
     * - Level 0 is used to disable host traces.
     * - Level 1 enables tracing of only user instrumented (or default) TraceMe.
     * - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high
     *           level program execution details (expensive TF ops, XLA ops, etc).
     *           This is the default.
     * - Level 3 enables tracing of all level 2 TraceMe(s) and more verbose
     *           (low-level) program execution details (cheap TF ops, etc).
     * </pre>
     *
     * <code>uint32 host_tracer_level = 2;</code>
     */
    public Builder setHostTracerLevel(int value) {
      
      hostTracerLevel_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Levels of host tracing: (version &gt;= 1)
     * - Level 0 is used to disable host traces.
     * - Level 1 enables tracing of only user instrumented (or default) TraceMe.
     * - Level 2 enables tracing of all level 1 TraceMe(s) and instrumented high
     *           level program execution details (expensive TF ops, XLA ops, etc).
     *           This is the default.
     * - Level 3 enables tracing of all level 2 TraceMe(s) and more verbose
     *           (low-level) program execution details (cheap TF ops, etc).
     * </pre>
     *
     * <code>uint32 host_tracer_level = 2;</code>
     */
    public Builder clearHostTracerLevel() {
      
      hostTracerLevel_ = 0;
      onChanged();
      return this;
    }

    private int deviceTracerLevel_ ;
    /**
     * <pre>
     * Levels of device tracing: (version &gt;= 1)
     * - Level 0 is used to disable device traces.
     * - Level 1 is used to enable device traces.
     * - More levels might be defined for specific device for controlling the
     *   verbosity of the trace.
     * </pre>
     *
     * <code>uint32 device_tracer_level = 3;</code>
     */
    public int getDeviceTracerLevel() {
      return deviceTracerLevel_;
    }
    /**
     * <pre>
     * Levels of device tracing: (version &gt;= 1)
     * - Level 0 is used to disable device traces.
     * - Level 1 is used to enable device traces.
     * - More levels might be defined for specific device for controlling the
     *   verbosity of the trace.
     * </pre>
     *
     * <code>uint32 device_tracer_level = 3;</code>
     */
    public Builder setDeviceTracerLevel(int value) {
      
      deviceTracerLevel_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Levels of device tracing: (version &gt;= 1)
     * - Level 0 is used to disable device traces.
     * - Level 1 is used to enable device traces.
     * - More levels might be defined for specific device for controlling the
     *   verbosity of the trace.
     * </pre>
     *
     * <code>uint32 device_tracer_level = 3;</code>
     */
    public Builder clearDeviceTracerLevel() {
      
      deviceTracerLevel_ = 0;
      onChanged();
      return this;
    }

    private int pythonTracerLevel_ ;
    /**
     * <pre>
     * Whether enable python function calls tracing. Runtime overhead ensues if
     * enabled. Default off. (version &gt;= 1)
     * </pre>
     *
     * <code>uint32 python_tracer_level = 4;</code>
     */
    public int getPythonTracerLevel() {
      return pythonTracerLevel_;
    }
    /**
     * <pre>
     * Whether enable python function calls tracing. Runtime overhead ensues if
     * enabled. Default off. (version &gt;= 1)
     * </pre>
     *
     * <code>uint32 python_tracer_level = 4;</code>
     */
    public Builder setPythonTracerLevel(int value) {
      
      pythonTracerLevel_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Whether enable python function calls tracing. Runtime overhead ensues if
     * enabled. Default off. (version &gt;= 1)
     * </pre>
     *
     * <code>uint32 python_tracer_level = 4;</code>
     */
    public Builder clearPythonTracerLevel() {
      
      pythonTracerLevel_ = 0;
      onChanged();
      return this;
    }

    private boolean enableHloProto_ ;
    /**
     * <pre>
     * Whether serialize hlo_proto when XLA is used. (version &gt;= 1)
     * </pre>
     *
     * <code>bool enable_hlo_proto = 7;</code>
     */
    public boolean getEnableHloProto() {
      return enableHloProto_;
    }
    /**
     * <pre>
     * Whether serialize hlo_proto when XLA is used. (version &gt;= 1)
     * </pre>
     *
     * <code>bool enable_hlo_proto = 7;</code>
     */
    public Builder setEnableHloProto(boolean value) {
      
      enableHloProto_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Whether serialize hlo_proto when XLA is used. (version &gt;= 1)
     * </pre>
     *
     * <code>bool enable_hlo_proto = 7;</code>
     */
    public Builder clearEnableHloProto() {
      
      enableHloProto_ = false;
      onChanged();
      return this;
    }

    private long startTimestampNs_ ;
    /**
     * <pre>
     * The local profiler starts profiling at this Unix timestamp in nanoseconds.
     * </pre>
     *
     * <code>uint64 start_timestamp_ns = 8;</code>
     */
    public long getStartTimestampNs() {
      return startTimestampNs_;
    }
    /**
     * <pre>
     * The local profiler starts profiling at this Unix timestamp in nanoseconds.
     * </pre>
     *
     * <code>uint64 start_timestamp_ns = 8;</code>
     */
    public Builder setStartTimestampNs(long value) {
      
      startTimestampNs_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * The local profiler starts profiling at this Unix timestamp in nanoseconds.
     * </pre>
     *
     * <code>uint64 start_timestamp_ns = 8;</code>
     */
    public Builder clearStartTimestampNs() {
      
      startTimestampNs_ = 0L;
      onChanged();
      return this;
    }

    private long durationMs_ ;
    /**
     * <pre>
     * The local profiler collects `duration_ms` milliseconds of data. If the
     * value is 0, profiling continues until interrupted.
     * </pre>
     *
     * <code>uint64 duration_ms = 9;</code>
     */
    public long getDurationMs() {
      return durationMs_;
    }
    /**
     * <pre>
     * The local profiler collects `duration_ms` milliseconds of data. If the
     * value is 0, profiling continues until interrupted.
     * </pre>
     *
     * <code>uint64 duration_ms = 9;</code>
     */
    public Builder setDurationMs(long value) {
      
      durationMs_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * The local profiler collects `duration_ms` milliseconds of data. If the
     * value is 0, profiling continues until interrupted.
     * </pre>
     *
     * <code>uint64 duration_ms = 9;</code>
     */
    public Builder clearDurationMs() {
      
      durationMs_ = 0L;
      onChanged();
      return this;
    }

    private java.lang.Object repositoryPath_ = "";
    /**
     * <pre>
     * Directory to save profile data to. No-op when empty.
     * </pre>
     *
     * <code>string repository_path = 10;</code>
     */
    public java.lang.String getRepositoryPath() {
      java.lang.Object ref = repositoryPath_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs =
            (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        repositoryPath_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * <pre>
     * Directory to save profile data to. No-op when empty.
     * </pre>
     *
     * <code>string repository_path = 10;</code>
     */
    public com.google.protobuf.ByteString
        getRepositoryPathBytes() {
      java.lang.Object ref = repositoryPath_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b = 
            com.google.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        repositoryPath_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     * <pre>
     * Directory to save profile data to. No-op when empty.
     * </pre>
     *
     * <code>string repository_path = 10;</code>
     */
    public Builder setRepositoryPath(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      repositoryPath_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Directory to save profile data to. No-op when empty.
     * </pre>
     *
     * <code>string repository_path = 10;</code>
     */
    public Builder clearRepositoryPath() {
      
      repositoryPath_ = getDefaultInstance().getRepositoryPath();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Directory to save profile data to. No-op when empty.
     * </pre>
     *
     * <code>string repository_path = 10;</code>
     */
    public Builder setRepositoryPathBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      repositoryPath_ = value;
      onChanged();
      return this;
    }
    @java.lang.Override
    public final Builder setUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }


    // @@protoc_insertion_point(builder_scope:tensorflow.ProfileOptions)
  }

  // @@protoc_insertion_point(class_scope:tensorflow.ProfileOptions)
  private static final org.tensorflow.proto.profiler.ProfileOptions DEFAULT_INSTANCE;
  static {
    DEFAULT_INSTANCE = new org.tensorflow.proto.profiler.ProfileOptions();
  }

  public static org.tensorflow.proto.profiler.ProfileOptions getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<ProfileOptions>
      PARSER = new com.google.protobuf.AbstractParser<ProfileOptions>() {
    @java.lang.Override
    public ProfileOptions parsePartialFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws com.google.protobuf.InvalidProtocolBufferException {
      return new ProfileOptions(input, extensionRegistry);
    }
  };

  public static com.google.protobuf.Parser<ProfileOptions> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<ProfileOptions> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public org.tensorflow.proto.profiler.ProfileOptions getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }

}

