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

package org.tensorflow.proto.framework;

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     * Id of the tensor buffer being allocated, used to match to a
     * corresponding deallocation.
     * </pre>
     *
     * <code>int64 allocation_id = 5;</code>
     */
    public long getAllocationId() {
      return allocationId_;
    }
    /**
     * <pre>
     * Id of the tensor buffer being allocated, used to match to a
     * corresponding deallocation.
     * </pre>
     *
     * <code>int64 allocation_id = 5;</code>
     */
    public Builder setAllocationId(long value) {
      
      allocationId_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Id of the tensor buffer being allocated, used to match to a
     * corresponding deallocation.
     * </pre>
     *
     * <code>int64 allocation_id = 5;</code>
     */
    public Builder clearAllocationId() {
      
      allocationId_ = 0L;
      onChanged();
      return this;
    }

    private java.lang.Object allocatorName_ = "";
    /**
     * <pre>
     * Name of the allocator used.
     * </pre>
     *
     * <code>string allocator_name = 6;</code>
     */
    public java.lang.String getAllocatorName() {
      java.lang.Object ref = allocatorName_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs =
            (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        allocatorName_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * <pre>
     * Name of the allocator used.
     * </pre>
     *
     * <code>string allocator_name = 6;</code>
     */
    public com.google.protobuf.ByteString
        getAllocatorNameBytes() {
      java.lang.Object ref = allocatorName_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b = 
            com.google.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        allocatorName_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     * <pre>
     * Name of the allocator used.
     * </pre>
     *
     * <code>string allocator_name = 6;</code>
     */
    public Builder setAllocatorName(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      allocatorName_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Name of the allocator used.
     * </pre>
     *
     * <code>string allocator_name = 6;</code>
     */
    public Builder clearAllocatorName() {
      
      allocatorName_ = getDefaultInstance().getAllocatorName();
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Name of the allocator used.
     * </pre>
     *
     * <code>string allocator_name = 6;</code>
     */
    public Builder setAllocatorNameBytes(
        com.google.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      allocatorName_ = 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.MemoryLogRawAllocation)
  }

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

  public static org.tensorflow.proto.framework.MemoryLogRawAllocation getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

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

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

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

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

}

