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

package org.tensorflow.distruntime;

/**
 * Protobuf type {@code tensorflow.TraceOpts}
 */
public  final class TraceOpts extends
    org.nd4j.shade.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.TraceOpts)
    TraceOptsOrBuilder {
private static final long serialVersionUID = 0L;
  // Use TraceOpts.newBuilder() to construct.
  private TraceOpts(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private TraceOpts() {
    duration_ = 0D;
    useStepProfiler_ = false;
    useKernelProfiler_ = false;
    useExtendedProfiler_ = false;
    useGpuProfiler_ = false;
    useSampleProfiler_ = false;
  }

  @java.lang.Override
  public final org.nd4j.shade.protobuf.UnknownFieldSet
  getUnknownFields() {
    return this.unknownFields;
  }
  private TraceOpts(
      org.nd4j.shade.protobuf.CodedInputStream input,
      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    this();
    if (extensionRegistry == null) {
      throw new java.lang.NullPointerException();
    }
    int mutable_bitField0_ = 0;
    org.nd4j.shade.protobuf.UnknownFieldSet.Builder unknownFields =
        org.nd4j.shade.protobuf.UnknownFieldSet.newBuilder();
    try {
      boolean done = false;
      while (!done) {
        int tag = input.readTag();
        switch (tag) {
          case 0:
            done = true;
            break;
          default: {
            if (!parseUnknownFieldProto3(
                input, unknownFields, extensionRegistry, tag)) {
              done = true;
            }
            break;
          }
          case 9: {

            duration_ = input.readDouble();
            break;
          }
          case 16: {

            useStepProfiler_ = input.readBool();
            break;
          }
          case 24: {

            useKernelProfiler_ = input.readBool();
            break;
          }
          case 32: {

            useExtendedProfiler_ = input.readBool();
            break;
          }
          case 40: {

            useGpuProfiler_ = input.readBool();
            break;
          }
          case 48: {

            useSampleProfiler_ = input.readBool();
            break;
          }
        }
      }
    } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
      throw e.setUnfinishedMessage(this);
    } catch (java.io.IOException e) {
      throw new org.nd4j.shade.protobuf.InvalidProtocolBufferException(
          e).setUnfinishedMessage(this);
    } finally {
      this.unknownFields = unknownFields.build();
      makeExtensionsImmutable();
    }
  }
  public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_descriptor;
  }

  protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            org.tensorflow.distruntime.TraceOpts.class, org.tensorflow.distruntime.TraceOpts.Builder.class);
  }

  public static final int DURATION_FIELD_NUMBER = 1;
  private double duration_;
  /**
   * 
   * Length of the trace to be taken, in seconds.
   * 
* * double duration = 1; */ public double getDuration() { return duration_; } public static final int USE_STEP_PROFILER_FIELD_NUMBER = 2; private boolean useStepProfiler_; /** *
   * If true, capture step profile locally in each worker. Currently
   * unimplemented.
   * 
* * bool use_step_profiler = 2; */ public boolean getUseStepProfiler() { return useStepProfiler_; } public static final int USE_KERNEL_PROFILER_FIELD_NUMBER = 3; private boolean useKernelProfiler_; /** *
   * If true, capture kernel events from each worker.
   * 
* * bool use_kernel_profiler = 3; */ public boolean getUseKernelProfiler() { return useKernelProfiler_; } public static final int USE_EXTENDED_PROFILER_FIELD_NUMBER = 4; private boolean useExtendedProfiler_; /** *
   * If true, capture extended profiling events from TensorFlow process.
   * 
* * bool use_extended_profiler = 4; */ public boolean getUseExtendedProfiler() { return useExtendedProfiler_; } public static final int USE_GPU_PROFILER_FIELD_NUMBER = 5; private boolean useGpuProfiler_; /** *
   * If true, capture GPU profiling events locally on each
   * machine. Currently unimplemented.
   * 
* * bool use_gpu_profiler = 5; */ public boolean getUseGpuProfiler() { return useGpuProfiler_; } public static final int USE_SAMPLE_PROFILER_FIELD_NUMBER = 6; private boolean useSampleProfiler_; /** *
   * If true, collect sampled profile events. Currently unimplemented.
   * 
* * bool use_sample_profiler = 6; */ public boolean getUseSampleProfiler() { return useSampleProfiler_; } private byte memoizedIsInitialized = -1; public final boolean isInitialized() { byte isInitialized = memoizedIsInitialized; if (isInitialized == 1) return true; if (isInitialized == 0) return false; memoizedIsInitialized = 1; return true; } public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws java.io.IOException { if (duration_ != 0D) { output.writeDouble(1, duration_); } if (useStepProfiler_ != false) { output.writeBool(2, useStepProfiler_); } if (useKernelProfiler_ != false) { output.writeBool(3, useKernelProfiler_); } if (useExtendedProfiler_ != false) { output.writeBool(4, useExtendedProfiler_); } if (useGpuProfiler_ != false) { output.writeBool(5, useGpuProfiler_); } if (useSampleProfiler_ != false) { output.writeBool(6, useSampleProfiler_); } unknownFields.writeTo(output); } public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (duration_ != 0D) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeDoubleSize(1, duration_); } if (useStepProfiler_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(2, useStepProfiler_); } if (useKernelProfiler_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(3, useKernelProfiler_); } if (useExtendedProfiler_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(4, useExtendedProfiler_); } if (useGpuProfiler_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(5, useGpuProfiler_); } if (useSampleProfiler_ != false) { size += org.nd4j.shade.protobuf.CodedOutputStream .computeBoolSize(6, useSampleProfiler_); } size += unknownFields.getSerializedSize(); memoizedSize = size; return size; } @java.lang.Override public boolean equals(final java.lang.Object obj) { if (obj == this) { return true; } if (!(obj instanceof org.tensorflow.distruntime.TraceOpts)) { return super.equals(obj); } org.tensorflow.distruntime.TraceOpts other = (org.tensorflow.distruntime.TraceOpts) obj; boolean result = true; result = result && ( java.lang.Double.doubleToLongBits(getDuration()) == java.lang.Double.doubleToLongBits( other.getDuration())); result = result && (getUseStepProfiler() == other.getUseStepProfiler()); result = result && (getUseKernelProfiler() == other.getUseKernelProfiler()); result = result && (getUseExtendedProfiler() == other.getUseExtendedProfiler()); result = result && (getUseGpuProfiler() == other.getUseGpuProfiler()); result = result && (getUseSampleProfiler() == other.getUseSampleProfiler()); result = result && unknownFields.equals(other.unknownFields); return result; } @java.lang.Override public int hashCode() { if (memoizedHashCode != 0) { return memoizedHashCode; } int hash = 41; hash = (19 * hash) + getDescriptor().hashCode(); hash = (37 * hash) + DURATION_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashLong( java.lang.Double.doubleToLongBits(getDuration())); hash = (37 * hash) + USE_STEP_PROFILER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseStepProfiler()); hash = (37 * hash) + USE_KERNEL_PROFILER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseKernelProfiler()); hash = (37 * hash) + USE_EXTENDED_PROFILER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseExtendedProfiler()); hash = (37 * hash) + USE_GPU_PROFILER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseGpuProfiler()); hash = (37 * hash) + USE_SAMPLE_PROFILER_FIELD_NUMBER; hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean( getUseSampleProfiler()); hash = (29 * hash) + unknownFields.hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.distruntime.TraceOpts parseFrom( java.nio.ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.distruntime.TraceOpts parseFrom( java.nio.ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.distruntime.TraceOpts parseFrom( org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.distruntime.TraceOpts parseFrom( org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.distruntime.TraceOpts parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.distruntime.TraceOpts parseFrom( byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.distruntime.TraceOpts parseFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.distruntime.TraceOpts parseFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.distruntime.TraceOpts parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.distruntime.TraceOpts parseDelimitedFrom( java.io.InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input, extensionRegistry); } public static org.tensorflow.distruntime.TraceOpts parseFrom( org.nd4j.shade.protobuf.CodedInputStream input) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.distruntime.TraceOpts parseFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { return org.nd4j.shade.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input, extensionRegistry); } public Builder newBuilderForType() { return newBuilder(); } public static Builder newBuilder() { return DEFAULT_INSTANCE.toBuilder(); } public static Builder newBuilder(org.tensorflow.distruntime.TraceOpts prototype) { return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype); } public Builder toBuilder() { return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this); } @java.lang.Override protected Builder newBuilderForType( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { Builder builder = new Builder(parent); return builder; } /** * Protobuf type {@code tensorflow.TraceOpts} */ public static final class Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.TraceOpts) org.tensorflow.distruntime.TraceOptsOrBuilder { public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_descriptor; } protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.distruntime.TraceOpts.class, org.tensorflow.distruntime.TraceOpts.Builder.class); } // Construct using org.tensorflow.distruntime.TraceOpts.newBuilder() private Builder() { maybeForceBuilderInitialization(); } private Builder( org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); maybeForceBuilderInitialization(); } private void maybeForceBuilderInitialization() { if (org.nd4j.shade.protobuf.GeneratedMessageV3 .alwaysUseFieldBuilders) { } } public Builder clear() { super.clear(); duration_ = 0D; useStepProfiler_ = false; useKernelProfiler_ = false; useExtendedProfiler_ = false; useGpuProfiler_ = false; useSampleProfiler_ = false; return this; } public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.distruntime.WorkerProtos.internal_static_tensorflow_TraceOpts_descriptor; } public org.tensorflow.distruntime.TraceOpts getDefaultInstanceForType() { return org.tensorflow.distruntime.TraceOpts.getDefaultInstance(); } public org.tensorflow.distruntime.TraceOpts build() { org.tensorflow.distruntime.TraceOpts result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } public org.tensorflow.distruntime.TraceOpts buildPartial() { org.tensorflow.distruntime.TraceOpts result = new org.tensorflow.distruntime.TraceOpts(this); result.duration_ = duration_; result.useStepProfiler_ = useStepProfiler_; result.useKernelProfiler_ = useKernelProfiler_; result.useExtendedProfiler_ = useExtendedProfiler_; result.useGpuProfiler_ = useGpuProfiler_; result.useSampleProfiler_ = useSampleProfiler_; onBuilt(); return result; } public Builder clone() { return (Builder) super.clone(); } public Builder setField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return (Builder) super.setField(field, value); } public Builder clearField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) { return (Builder) super.clearField(field); } public Builder clearOneof( org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) { return (Builder) super.clearOneof(oneof); } public Builder setRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return (Builder) super.setRepeatedField(field, index, value); } public Builder addRepeatedField( org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return (Builder) super.addRepeatedField(field, value); } public Builder mergeFrom(org.nd4j.shade.protobuf.Message other) { if (other instanceof org.tensorflow.distruntime.TraceOpts) { return mergeFrom((org.tensorflow.distruntime.TraceOpts)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.distruntime.TraceOpts other) { if (other == org.tensorflow.distruntime.TraceOpts.getDefaultInstance()) return this; if (other.getDuration() != 0D) { setDuration(other.getDuration()); } if (other.getUseStepProfiler() != false) { setUseStepProfiler(other.getUseStepProfiler()); } if (other.getUseKernelProfiler() != false) { setUseKernelProfiler(other.getUseKernelProfiler()); } if (other.getUseExtendedProfiler() != false) { setUseExtendedProfiler(other.getUseExtendedProfiler()); } if (other.getUseGpuProfiler() != false) { setUseGpuProfiler(other.getUseGpuProfiler()); } if (other.getUseSampleProfiler() != false) { setUseSampleProfiler(other.getUseSampleProfiler()); } this.mergeUnknownFields(other.unknownFields); onChanged(); return this; } public final boolean isInitialized() { return true; } public Builder mergeFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { org.tensorflow.distruntime.TraceOpts parsedMessage = null; try { parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry); } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) { parsedMessage = (org.tensorflow.distruntime.TraceOpts) e.getUnfinishedMessage(); throw e.unwrapIOException(); } finally { if (parsedMessage != null) { mergeFrom(parsedMessage); } } return this; } private double duration_ ; /** *
     * Length of the trace to be taken, in seconds.
     * 
* * double duration = 1; */ public double getDuration() { return duration_; } /** *
     * Length of the trace to be taken, in seconds.
     * 
* * double duration = 1; */ public Builder setDuration(double value) { duration_ = value; onChanged(); return this; } /** *
     * Length of the trace to be taken, in seconds.
     * 
* * double duration = 1; */ public Builder clearDuration() { duration_ = 0D; onChanged(); return this; } private boolean useStepProfiler_ ; /** *
     * If true, capture step profile locally in each worker. Currently
     * unimplemented.
     * 
* * bool use_step_profiler = 2; */ public boolean getUseStepProfiler() { return useStepProfiler_; } /** *
     * If true, capture step profile locally in each worker. Currently
     * unimplemented.
     * 
* * bool use_step_profiler = 2; */ public Builder setUseStepProfiler(boolean value) { useStepProfiler_ = value; onChanged(); return this; } /** *
     * If true, capture step profile locally in each worker. Currently
     * unimplemented.
     * 
* * bool use_step_profiler = 2; */ public Builder clearUseStepProfiler() { useStepProfiler_ = false; onChanged(); return this; } private boolean useKernelProfiler_ ; /** *
     * If true, capture kernel events from each worker.
     * 
* * bool use_kernel_profiler = 3; */ public boolean getUseKernelProfiler() { return useKernelProfiler_; } /** *
     * If true, capture kernel events from each worker.
     * 
* * bool use_kernel_profiler = 3; */ public Builder setUseKernelProfiler(boolean value) { useKernelProfiler_ = value; onChanged(); return this; } /** *
     * If true, capture kernel events from each worker.
     * 
* * bool use_kernel_profiler = 3; */ public Builder clearUseKernelProfiler() { useKernelProfiler_ = false; onChanged(); return this; } private boolean useExtendedProfiler_ ; /** *
     * If true, capture extended profiling events from TensorFlow process.
     * 
* * bool use_extended_profiler = 4; */ public boolean getUseExtendedProfiler() { return useExtendedProfiler_; } /** *
     * If true, capture extended profiling events from TensorFlow process.
     * 
* * bool use_extended_profiler = 4; */ public Builder setUseExtendedProfiler(boolean value) { useExtendedProfiler_ = value; onChanged(); return this; } /** *
     * If true, capture extended profiling events from TensorFlow process.
     * 
* * bool use_extended_profiler = 4; */ public Builder clearUseExtendedProfiler() { useExtendedProfiler_ = false; onChanged(); return this; } private boolean useGpuProfiler_ ; /** *
     * If true, capture GPU profiling events locally on each
     * machine. Currently unimplemented.
     * 
* * bool use_gpu_profiler = 5; */ public boolean getUseGpuProfiler() { return useGpuProfiler_; } /** *
     * If true, capture GPU profiling events locally on each
     * machine. Currently unimplemented.
     * 
* * bool use_gpu_profiler = 5; */ public Builder setUseGpuProfiler(boolean value) { useGpuProfiler_ = value; onChanged(); return this; } /** *
     * If true, capture GPU profiling events locally on each
     * machine. Currently unimplemented.
     * 
* * bool use_gpu_profiler = 5; */ public Builder clearUseGpuProfiler() { useGpuProfiler_ = false; onChanged(); return this; } private boolean useSampleProfiler_ ; /** *
     * If true, collect sampled profile events. Currently unimplemented.
     * 
* * bool use_sample_profiler = 6; */ public boolean getUseSampleProfiler() { return useSampleProfiler_; } /** *
     * If true, collect sampled profile events. Currently unimplemented.
     * 
* * bool use_sample_profiler = 6; */ public Builder setUseSampleProfiler(boolean value) { useSampleProfiler_ = value; onChanged(); return this; } /** *
     * If true, collect sampled profile events. Currently unimplemented.
     * 
* * bool use_sample_profiler = 6; */ public Builder clearUseSampleProfiler() { useSampleProfiler_ = false; onChanged(); return this; } public final Builder setUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.setUnknownFieldsProto3(unknownFields); } public final Builder mergeUnknownFields( final org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) { return super.mergeUnknownFields(unknownFields); } // @@protoc_insertion_point(builder_scope:tensorflow.TraceOpts) } // @@protoc_insertion_point(class_scope:tensorflow.TraceOpts) private static final org.tensorflow.distruntime.TraceOpts DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.distruntime.TraceOpts(); } public static org.tensorflow.distruntime.TraceOpts getDefaultInstance() { return DEFAULT_INSTANCE; } private static final org.nd4j.shade.protobuf.Parser PARSER = new org.nd4j.shade.protobuf.AbstractParser() { public TraceOpts parsePartialFrom( org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException { return new TraceOpts(input, extensionRegistry); } }; public static org.nd4j.shade.protobuf.Parser parser() { return PARSER; } @java.lang.Override public org.nd4j.shade.protobuf.Parser getParserForType() { return PARSER; } public org.tensorflow.distruntime.TraceOpts getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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