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

package org.tensorflow.framework;

/**
 *  * Defines a subgraph in another `GraphDef` as a set of feed points and nodes
 * to be fetched or executed.
 * Compare with the arguments to `Session::Run()`.
 * 
 *
 * Protobuf type {@code tensorflow.CallableOptions}
 */
public  final class CallableOptions extends
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  /**
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   *    * Tensors to be fed in the callable. Each feed is the name of a tensor.
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  /**
   *    * Tensors to be fed in the callable. Each feed is the name of a tensor.
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   *
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   *    * Tensors to be fed in the callable. Each feed is the name of a tensor.
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  /**
   *    * Fetches. A list of tensor names. The caller of the callable expects a
   * tensor to be returned for each fetch[i] (see RunStepResponse.tensor). The
   * order of specified fetches does not change the execution order.
   * 
   *
   * repeated string fetch = 2;
   */
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  /**
   *    * Fetches. A list of tensor names. The caller of the callable expects a
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   * order of specified fetches does not change the execution order.
   * 
   *
   * repeated string fetch = 2;
   */
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  /**
   *    * Fetches. A list of tensor names. The caller of the callable expects a
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   * order of specified fetches does not change the execution order.
   * 
   *
   * repeated string fetch = 2;
   */
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  /**
   *    * Fetches. A list of tensor names. The caller of the callable expects a
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   *
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  /**
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   *
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   *    * Target Nodes. A list of node names. The named nodes will be run by the
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   * 
   *
   * repeated string target = 3;
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  /**
   *    * Target Nodes. A list of node names. The named nodes will be run by the
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   * 
   *
   * repeated string target = 3;
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   *    * Target Nodes. A list of node names. The named nodes will be run by the
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  /**
   *    * Options that will be applied to each run.
   * 
   *
   * .tensorflow.RunOptions run_options = 4;
   */
  public boolean hasRunOptions() {
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  }
  /**
   *    * Options that will be applied to each run.
   * 
   *
   * .tensorflow.RunOptions run_options = 4;
   */
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  /**
   *    * Options that will be applied to each run.
   * 
   *
   * .tensorflow.RunOptions run_options = 4;
   */
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  /**
   *    * Tensors to be connected in the callable. Each TensorConnection denotes
   * a pair of tensors in the graph, between which an edge will be created
   * in the callable.
   * 
   *
   * repeated .tensorflow.TensorConnection tensor_connection = 5;
   */
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  }
  /**
   *    * Tensors to be connected in the callable. Each TensorConnection denotes
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   * in the callable.
   * 
   *
   * repeated .tensorflow.TensorConnection tensor_connection = 5;
   */
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  /**
   *    * Tensors to be connected in the callable. Each TensorConnection denotes
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   * in the callable.
   * 
   *
   * repeated .tensorflow.TensorConnection tensor_connection = 5;
   */
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  /**
   *    * Tensors to be connected in the callable. Each TensorConnection denotes
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   * 
   *
   * repeated .tensorflow.TensorConnection tensor_connection = 5;
   */
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  }
  /**
   *    * Tensors to be connected in the callable. Each TensorConnection denotes
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   * in the callable.
   * 
   *
   * repeated .tensorflow.TensorConnection tensor_connection = 5;
   */
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  /**
   *    * Defines a subgraph in another `GraphDef` as a set of feed points and nodes
   * to be fetched or executed.
   * Compare with the arguments to `Session::Run()`.
   * 
   *
   * Protobuf type {@code tensorflow.CallableOptions}
   */
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     *      * Tensors to be fed in the callable. Each feed is the name of a tensor.
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     *      * Tensors to be fed in the callable. Each feed is the name of a tensor.
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     *
     * repeated string feed = 1;
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     *      * Tensors to be fed in the callable. Each feed is the name of a tensor.
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     *
     * repeated string feed = 1;
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     *      * Tensors to be fed in the callable. Each feed is the name of a tensor.
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     *
     * repeated string feed = 1;
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    /**
     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     *
     * repeated string fetch = 2;
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     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     *
     * repeated string fetch = 2;
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     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
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    public java.lang.String getFetch(int index) {
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    /**
     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
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     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
     */
    public Builder setFetch(
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    /**
     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
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    public Builder addFetch(
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     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
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    public Builder addAllFetch(
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      com.github.os72.protobuf351.AbstractMessageLite.Builder.addAll(
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      onChanged();
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    /**
     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     * 
     *
     * repeated string fetch = 2;
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    /**
     *      * Fetches. A list of tensor names. The caller of the callable expects a
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     *
     * repeated string fetch = 2;
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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    /**
     *      * Target Nodes. A list of node names. The named nodes will be run by the
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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      onChanged();
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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     *      * Target Nodes. A list of node names. The named nodes will be run by the
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     *
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     *
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    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
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        runOptions_ = value;
        onChanged();
      } else {
        runOptionsBuilder_.setMessage(value);
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      return this;
    }
    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
    public Builder setRunOptions(
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      if (runOptionsBuilder_ == null) {
        runOptions_ = builderForValue.build();
        onChanged();
      } else {
        runOptionsBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
    public Builder mergeRunOptions(org.tensorflow.framework.RunOptions value) {
      if (runOptionsBuilder_ == null) {
        if (runOptions_ != null) {
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        } else {
          runOptions_ = value;
        }
        onChanged();
      } else {
        runOptionsBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
    public Builder clearRunOptions() {
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        runOptions_ = null;
        onChanged();
      } else {
        runOptions_ = null;
        runOptionsBuilder_ = null;
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      return this;
    }
    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
    public org.tensorflow.framework.RunOptions.Builder getRunOptionsBuilder() {
      
      onChanged();
      return getRunOptionsFieldBuilder().getBuilder();
    }
    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
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        return runOptionsBuilder_.getMessageOrBuilder();
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        return runOptions_ == null ?
            org.tensorflow.framework.RunOptions.getDefaultInstance() : runOptions_;
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    /**
     *      * Options that will be applied to each run.
     * 
     *
     * .tensorflow.RunOptions run_options = 4;
     */
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        getRunOptionsFieldBuilder() {
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    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public java.util.List getTensorConnectionList() {
      if (tensorConnectionBuilder_ == null) {
        return java.util.Collections.unmodifiableList(tensorConnection_);
      } else {
        return tensorConnectionBuilder_.getMessageList();
      }
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public int getTensorConnectionCount() {
      if (tensorConnectionBuilder_ == null) {
        return tensorConnection_.size();
      } else {
        return tensorConnectionBuilder_.getCount();
      }
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public org.tensorflow.framework.TensorConnection getTensorConnection(int index) {
      if (tensorConnectionBuilder_ == null) {
        return tensorConnection_.get(index);
      } else {
        return tensorConnectionBuilder_.getMessage(index);
      }
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder setTensorConnection(
        int index, org.tensorflow.framework.TensorConnection value) {
      if (tensorConnectionBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTensorConnectionIsMutable();
        tensorConnection_.set(index, value);
        onChanged();
      } else {
        tensorConnectionBuilder_.setMessage(index, value);
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder setTensorConnection(
        int index, org.tensorflow.framework.TensorConnection.Builder builderForValue) {
      if (tensorConnectionBuilder_ == null) {
        ensureTensorConnectionIsMutable();
        tensorConnection_.set(index, builderForValue.build());
        onChanged();
      } else {
        tensorConnectionBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder addTensorConnection(org.tensorflow.framework.TensorConnection value) {
      if (tensorConnectionBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTensorConnectionIsMutable();
        tensorConnection_.add(value);
        onChanged();
      } else {
        tensorConnectionBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder addTensorConnection(
        int index, org.tensorflow.framework.TensorConnection value) {
      if (tensorConnectionBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTensorConnectionIsMutable();
        tensorConnection_.add(index, value);
        onChanged();
      } else {
        tensorConnectionBuilder_.addMessage(index, value);
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder addTensorConnection(
        org.tensorflow.framework.TensorConnection.Builder builderForValue) {
      if (tensorConnectionBuilder_ == null) {
        ensureTensorConnectionIsMutable();
        tensorConnection_.add(builderForValue.build());
        onChanged();
      } else {
        tensorConnectionBuilder_.addMessage(builderForValue.build());
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder addTensorConnection(
        int index, org.tensorflow.framework.TensorConnection.Builder builderForValue) {
      if (tensorConnectionBuilder_ == null) {
        ensureTensorConnectionIsMutable();
        tensorConnection_.add(index, builderForValue.build());
        onChanged();
      } else {
        tensorConnectionBuilder_.addMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder addAllTensorConnection(
        java.lang.Iterable values) {
      if (tensorConnectionBuilder_ == null) {
        ensureTensorConnectionIsMutable();
        com.github.os72.protobuf351.AbstractMessageLite.Builder.addAll(
            values, tensorConnection_);
        onChanged();
      } else {
        tensorConnectionBuilder_.addAllMessages(values);
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder clearTensorConnection() {
      if (tensorConnectionBuilder_ == null) {
        tensorConnection_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000010);
        onChanged();
      } else {
        tensorConnectionBuilder_.clear();
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public Builder removeTensorConnection(int index) {
      if (tensorConnectionBuilder_ == null) {
        ensureTensorConnectionIsMutable();
        tensorConnection_.remove(index);
        onChanged();
      } else {
        tensorConnectionBuilder_.remove(index);
      }
      return this;
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public org.tensorflow.framework.TensorConnection.Builder getTensorConnectionBuilder(
        int index) {
      return getTensorConnectionFieldBuilder().getBuilder(index);
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public org.tensorflow.framework.TensorConnectionOrBuilder getTensorConnectionOrBuilder(
        int index) {
      if (tensorConnectionBuilder_ == null) {
        return tensorConnection_.get(index);  } else {
        return tensorConnectionBuilder_.getMessageOrBuilder(index);
      }
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public java.util.List 
         getTensorConnectionOrBuilderList() {
      if (tensorConnectionBuilder_ != null) {
        return tensorConnectionBuilder_.getMessageOrBuilderList();
      } else {
        return java.util.Collections.unmodifiableList(tensorConnection_);
      }
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public org.tensorflow.framework.TensorConnection.Builder addTensorConnectionBuilder() {
      return getTensorConnectionFieldBuilder().addBuilder(
          org.tensorflow.framework.TensorConnection.getDefaultInstance());
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public org.tensorflow.framework.TensorConnection.Builder addTensorConnectionBuilder(
        int index) {
      return getTensorConnectionFieldBuilder().addBuilder(
          index, org.tensorflow.framework.TensorConnection.getDefaultInstance());
    }
    /**
     *      * Tensors to be connected in the callable. Each TensorConnection denotes
     * a pair of tensors in the graph, between which an edge will be created
     * in the callable.
     * 
     *
     * repeated .tensorflow.TensorConnection tensor_connection = 5;
     */
    public java.util.List 
         getTensorConnectionBuilderList() {
      return getTensorConnectionFieldBuilder().getBuilderList();
    }
    private com.github.os72.protobuf351.RepeatedFieldBuilderV3<
        org.tensorflow.framework.TensorConnection, org.tensorflow.framework.TensorConnection.Builder, org.tensorflow.framework.TensorConnectionOrBuilder> 
        getTensorConnectionFieldBuilder() {
      if (tensorConnectionBuilder_ == null) {
        tensorConnectionBuilder_ = new com.github.os72.protobuf351.RepeatedFieldBuilderV3<
            org.tensorflow.framework.TensorConnection, org.tensorflow.framework.TensorConnection.Builder, org.tensorflow.framework.TensorConnectionOrBuilder>(
                tensorConnection_,
                ((bitField0_ & 0x00000010) == 0x00000010),
                getParentForChildren(),
                isClean());
        tensorConnection_ = null;
      }
      return tensorConnectionBuilder_;
    }
    public final Builder setUnknownFields(
        final com.github.os72.protobuf351.UnknownFieldSet unknownFields) {
      return super.setUnknownFieldsProto3(unknownFields);
    }

    public final Builder mergeUnknownFields(
        final com.github.os72.protobuf351.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }


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

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

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

  private static final com.github.os72.protobuf351.Parser
      PARSER = new com.github.os72.protobuf351.AbstractParser() {
    public CallableOptions parsePartialFrom(
        com.github.os72.protobuf351.CodedInputStream input,
        com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry)
        throws com.github.os72.protobuf351.InvalidProtocolBufferException {
      return new CallableOptions(input, extensionRegistry);
    }
  };

  public static com.github.os72.protobuf351.Parser parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.github.os72.protobuf351.Parser getParserForType() {
    return PARSER;
  }

  public org.tensorflow.framework.CallableOptions getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }

}