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• RunStepRequest.java

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org.tensorflow.distruntime.RunStepRequest Maven / Gradle / Ivy

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

package org.tensorflow.distruntime;

/**
 * Protobuf type {@code tensorflow.RunStepRequest}
 */
public  final class RunStepRequest extends
    org.nd4j.shade.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.RunStepRequest)
    RunStepRequestOrBuilder {
private static final long serialVersionUID = 0L;
  // Use RunStepRequest.newBuilder() to construct.
  private RunStepRequest(org.nd4j.shade.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private RunStepRequest() {
    sessionHandle_ = "";
    feed_ = java.util.Collections.emptyList();
    fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
    target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
    partialRunHandle_ = "";
    storeErrorsInResponseBody_ = false;
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  private RunStepRequest(
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      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
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  public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_descriptor;
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  protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
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   * REQUIRED: session_handle must be returned by a CreateSession call
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  public static final int FEED_FIELD_NUMBER = 2;
  private java.util.List feed_;
  /**
   * 
   * Tensors to be fed in the step. Each feed is a named tensor.
   * 
   *
   * repeated .tensorflow.NamedTensorProto feed = 2;
   */
  public java.util.List getFeedList() {
    return feed_;
  }
  /**
   * 
   * Tensors to be fed in the step. Each feed is a named tensor.
   * 
   *
   * repeated .tensorflow.NamedTensorProto feed = 2;
   */
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      getFeedOrBuilderList() {
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  /**
   * 
   * Tensors to be fed in the step. Each feed is a named tensor.
   * 
   *
   * repeated .tensorflow.NamedTensorProto feed = 2;
   */
  public int getFeedCount() {
    return feed_.size();
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  /**
   * 
   * Tensors to be fed in the step. Each feed is a named tensor.
   * 
   *
   * repeated .tensorflow.NamedTensorProto feed = 2;
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  /**
   * 
   * Tensors to be fed in the step. Each feed is a named tensor.
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   *
   * repeated .tensorflow.NamedTensorProto feed = 2;
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  private org.nd4j.shade.protobuf.LazyStringList fetch_;
  /**
   * 
   * Fetches. A list of tensor names. The caller 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 = 3;
   */
  public org.nd4j.shade.protobuf.ProtocolStringList
      getFetchList() {
    return fetch_;
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  /**
   * 
   * Fetches. A list of tensor names. The caller 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 = 3;
   */
  public int getFetchCount() {
    return fetch_.size();
  }
  /**
   * 
   * Fetches. A list of tensor names. The caller 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 = 3;
   */
  public java.lang.String getFetch(int index) {
    return fetch_.get(index);
  }
  /**
   * 
   * Fetches. A list of tensor names. The caller 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 = 3;
   */
  public org.nd4j.shade.protobuf.ByteString
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    return fetch_.getByteString(index);
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  private org.nd4j.shade.protobuf.LazyStringList target_;
  /**
   * 
   * Target Nodes. A list of node names. The named nodes will be run
   * to but their outputs will not be fetched.
   * 
   *
   * repeated string target = 4;
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  public org.nd4j.shade.protobuf.ProtocolStringList
      getTargetList() {
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  /**
   * 
   * Target Nodes. A list of node names. The named nodes will be run
   * to but their outputs will not be fetched.
   * 
   *
   * repeated string target = 4;
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  public int getTargetCount() {
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  /**
   * 
   * Target Nodes. A list of node names. The named nodes will be run
   * to but their outputs will not be fetched.
   * 
   *
   * repeated string target = 4;
   */
  public java.lang.String getTarget(int index) {
    return target_.get(index);
  }
  /**
   * 
   * Target Nodes. A list of node names. The named nodes will be run
   * to but their outputs will not be fetched.
   * 
   *
   * repeated string target = 4;
   */
  public org.nd4j.shade.protobuf.ByteString
      getTargetBytes(int index) {
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  public static final int OPTIONS_FIELD_NUMBER = 5;
  private org.tensorflow.framework.RunOptions options_;
  /**
   * 
   * Options for the run call.
   * 
   *
   * .tensorflow.RunOptions options = 5;
   */
  public boolean hasOptions() {
    return options_ != null;
  }
  /**
   * 
   * Options for the run call.
   * 
   *
   * .tensorflow.RunOptions options = 5;
   */
  public org.tensorflow.framework.RunOptions getOptions() {
    return options_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
  }
  /**
   * 
   * Options for the run call.
   * 
   *
   * .tensorflow.RunOptions options = 5;
   */
  public org.tensorflow.framework.RunOptionsOrBuilder getOptionsOrBuilder() {
    return getOptions();
  }

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  private volatile java.lang.Object partialRunHandle_;
  /**
   * 
   * Partial run handle (optional). If specified, this will be a partial run
   * execution, run up to the specified fetches.
   * 
   *
   * string partial_run_handle = 6;
   */
  public java.lang.String getPartialRunHandle() {
    java.lang.Object ref = partialRunHandle_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
    } else {
      org.nd4j.shade.protobuf.ByteString bs = 
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      java.lang.String s = bs.toStringUtf8();
      partialRunHandle_ = s;
      return s;
    }
  }
  /**
   * 
   * Partial run handle (optional). If specified, this will be a partial run
   * execution, run up to the specified fetches.
   * 
   *
   * string partial_run_handle = 6;
   */
  public org.nd4j.shade.protobuf.ByteString
      getPartialRunHandleBytes() {
    java.lang.Object ref = partialRunHandle_;
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      org.nd4j.shade.protobuf.ByteString b = 
          org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
              (java.lang.String) ref);
      partialRunHandle_ = b;
      return b;
    } else {
      return (org.nd4j.shade.protobuf.ByteString) ref;
    }
  }

  public static final int STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER = 7;
  private boolean storeErrorsInResponseBody_;
  /**
   * 
   * If true then some errors, e.g., execution errors that have long
   * error messages, may return an OK RunStepResponse with the actual
   * error saved in the status_code/status_error_message fields of the
   * response body. This is a workaround since the RPC subsystem may
   * truncate long metadata messages.
   * 
   *
   * bool store_errors_in_response_body = 7;
   */
  public boolean getStoreErrorsInResponseBody() {
    return storeErrorsInResponseBody_;
  }

  private byte memoizedIsInitialized = -1;
  public final boolean isInitialized() {
    byte isInitialized = memoizedIsInitialized;
    if (isInitialized == 1) return true;
    if (isInitialized == 0) return false;

    memoizedIsInitialized = 1;
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    if (!getSessionHandleBytes().isEmpty()) {
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    for (int i = 0; i < feed_.size(); i++) {
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    if (options_ != null) {
      output.writeMessage(5, getOptions());
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    if (!getPartialRunHandleBytes().isEmpty()) {
      org.nd4j.shade.protobuf.GeneratedMessageV3.writeString(output, 6, partialRunHandle_);
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      for (int i = 0; i < fetch_.size(); i++) {
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      }
      size += dataSize;
      size += 1 * getFetchList().size();
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        .computeMessageSize(5, getOptions());
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  @java.lang.Override
  public boolean equals(final java.lang.Object obj) {
    if (obj == this) {
     return true;
    }
    if (!(obj instanceof org.tensorflow.distruntime.RunStepRequest)) {
      return super.equals(obj);
    }
    org.tensorflow.distruntime.RunStepRequest other = (org.tensorflow.distruntime.RunStepRequest) obj;

    boolean result = true;
    result = result && getSessionHandle()
        .equals(other.getSessionHandle());
    result = result && getFeedList()
        .equals(other.getFeedList());
    result = result && getFetchList()
        .equals(other.getFetchList());
    result = result && getTargetList()
        .equals(other.getTargetList());
    result = result && (hasOptions() == other.hasOptions());
    if (hasOptions()) {
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          .equals(other.getOptions());
    }
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        .equals(other.getPartialRunHandle());
    result = result && (getStoreErrorsInResponseBody()
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    result = result && unknownFields.equals(other.unknownFields);
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  @java.lang.Override
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      return memoizedHashCode;
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    hash = (53 * hash) + getSessionHandle().hashCode();
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    hash = (53 * hash) + getPartialRunHandle().hashCode();
    hash = (37 * hash) + STORE_ERRORS_IN_RESPONSE_BODY_FIELD_NUMBER;
    hash = (53 * hash) + org.nd4j.shade.protobuf.Internal.hashBoolean(
        getStoreErrorsInResponseBody());
    hash = (29 * hash) + unknownFields.hashCode();
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    return hash;
  }

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      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
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  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
      java.nio.ByteBuffer data,
      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
      org.nd4j.shade.protobuf.ByteString data)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.distruntime.RunStepRequest 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.RunStepRequest parseFrom(byte[] data)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
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      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
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      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return org.nd4j.shade.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input, extensionRegistry);
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  public static org.tensorflow.distruntime.RunStepRequest parseDelimitedFrom(java.io.InputStream input)
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    return org.nd4j.shade.protobuf.GeneratedMessageV3
        .parseDelimitedWithIOException(PARSER, input);
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  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
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        .parseWithIOException(PARSER, input);
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  public static org.tensorflow.distruntime.RunStepRequest parseFrom(
      org.nd4j.shade.protobuf.CodedInputStream input,
      org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return org.nd4j.shade.protobuf.GeneratedMessageV3
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  public Builder newBuilderForType() { return newBuilder(); }
  public static Builder newBuilder() {
    return DEFAULT_INSTANCE.toBuilder();
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  protected Builder newBuilderForType(
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  /**
   * Protobuf type {@code tensorflow.RunStepRequest}
   */
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      org.nd4j.shade.protobuf.GeneratedMessageV3.Builder implements
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    public static final org.nd4j.shade.protobuf.Descriptors.Descriptor
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    private Builder(
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      fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000004);
      target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000008);
      if (optionsBuilder_ == null) {
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    }

    public org.nd4j.shade.protobuf.Descriptors.Descriptor
        getDescriptorForType() {
      return org.tensorflow.distruntime.DistributedRuntimeProtos.internal_static_tensorflow_RunStepRequest_descriptor;
    }

    public org.tensorflow.distruntime.RunStepRequest getDefaultInstanceForType() {
      return org.tensorflow.distruntime.RunStepRequest.getDefaultInstance();
    }

    public org.tensorflow.distruntime.RunStepRequest build() {
      org.tensorflow.distruntime.RunStepRequest result = buildPartial();
      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    public org.tensorflow.distruntime.RunStepRequest buildPartial() {
      org.tensorflow.distruntime.RunStepRequest result = new org.tensorflow.distruntime.RunStepRequest(this);
      int from_bitField0_ = bitField0_;
      int to_bitField0_ = 0;
      result.sessionHandle_ = sessionHandle_;
      if (feedBuilder_ == null) {
        if (((bitField0_ & 0x00000002) == 0x00000002)) {
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          bitField0_ = (bitField0_ & ~0x00000002);
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      if (((bitField0_ & 0x00000008) == 0x00000008)) {
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        bitField0_ = (bitField0_ & ~0x00000008);
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      result.target_ = target_;
      if (optionsBuilder_ == null) {
        result.options_ = options_;
      } else {
        result.options_ = optionsBuilder_.build();
      }
      result.partialRunHandle_ = partialRunHandle_;
      result.storeErrorsInResponseBody_ = storeErrorsInResponseBody_;
      result.bitField0_ = to_bitField0_;
      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.RunStepRequest) {
        return mergeFrom((org.tensorflow.distruntime.RunStepRequest)other);
      } else {
        super.mergeFrom(other);
        return this;
      }
    }

    public Builder mergeFrom(org.tensorflow.distruntime.RunStepRequest other) {
      if (other == org.tensorflow.distruntime.RunStepRequest.getDefaultInstance()) return this;
      if (!other.getSessionHandle().isEmpty()) {
        sessionHandle_ = other.sessionHandle_;
        onChanged();
      }
      if (feedBuilder_ == null) {
        if (!other.feed_.isEmpty()) {
          if (feed_.isEmpty()) {
            feed_ = other.feed_;
            bitField0_ = (bitField0_ & ~0x00000002);
          } else {
            ensureFeedIsMutable();
            feed_.addAll(other.feed_);
          }
          onChanged();
        }
      } else {
        if (!other.feed_.isEmpty()) {
          if (feedBuilder_.isEmpty()) {
            feedBuilder_.dispose();
            feedBuilder_ = null;
            feed_ = other.feed_;
            bitField0_ = (bitField0_ & ~0x00000002);
            feedBuilder_ = 
              org.nd4j.shade.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders ?
                 getFeedFieldBuilder() : null;
          } else {
            feedBuilder_.addAllMessages(other.feed_);
          }
        }
      }
      if (!other.fetch_.isEmpty()) {
        if (fetch_.isEmpty()) {
          fetch_ = other.fetch_;
          bitField0_ = (bitField0_ & ~0x00000004);
        } else {
          ensureFetchIsMutable();
          fetch_.addAll(other.fetch_);
        }
        onChanged();
      }
      if (!other.target_.isEmpty()) {
        if (target_.isEmpty()) {
          target_ = other.target_;
          bitField0_ = (bitField0_ & ~0x00000008);
        } else {
          ensureTargetIsMutable();
          target_.addAll(other.target_);
        }
        onChanged();
      }
      if (other.hasOptions()) {
        mergeOptions(other.getOptions());
      }
      if (!other.getPartialRunHandle().isEmpty()) {
        partialRunHandle_ = other.partialRunHandle_;
        onChanged();
      }
      if (other.getStoreErrorsInResponseBody() != false) {
        setStoreErrorsInResponseBody(other.getStoreErrorsInResponseBody());
      }
      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.RunStepRequest parsedMessage = null;
      try {
        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
      } catch (org.nd4j.shade.protobuf.InvalidProtocolBufferException e) {
        parsedMessage = (org.tensorflow.distruntime.RunStepRequest) e.getUnfinishedMessage();
        throw e.unwrapIOException();
      } finally {
        if (parsedMessage != null) {
          mergeFrom(parsedMessage);
        }
      }
      return this;
    }
    private int bitField0_;

    private java.lang.Object sessionHandle_ = "";
    /**
     * 
     * REQUIRED: session_handle must be returned by a CreateSession call
     * to the same master service.
     * 
     *
     * string session_handle = 1;
     */
    public java.lang.String getSessionHandle() {
      java.lang.Object ref = sessionHandle_;
      if (!(ref instanceof java.lang.String)) {
        org.nd4j.shade.protobuf.ByteString bs =
            (org.nd4j.shade.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        sessionHandle_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * 
     * REQUIRED: session_handle must be returned by a CreateSession call
     * to the same master service.
     * 
     *
     * string session_handle = 1;
     */
    public org.nd4j.shade.protobuf.ByteString
        getSessionHandleBytes() {
      java.lang.Object ref = sessionHandle_;
      if (ref instanceof String) {
        org.nd4j.shade.protobuf.ByteString b = 
            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        sessionHandle_ = b;
        return b;
      } else {
        return (org.nd4j.shade.protobuf.ByteString) ref;
      }
    }
    /**
     * 
     * REQUIRED: session_handle must be returned by a CreateSession call
     * to the same master service.
     * 
     *
     * string session_handle = 1;
     */
    public Builder setSessionHandle(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      sessionHandle_ = value;
      onChanged();
      return this;
    }
    /**
     * 
     * REQUIRED: session_handle must be returned by a CreateSession call
     * to the same master service.
     * 
     *
     * string session_handle = 1;
     */
    public Builder clearSessionHandle() {
      
      sessionHandle_ = getDefaultInstance().getSessionHandle();
      onChanged();
      return this;
    }
    /**
     * 
     * REQUIRED: session_handle must be returned by a CreateSession call
     * to the same master service.
     * 
     *
     * string session_handle = 1;
     */
    public Builder setSessionHandleBytes(
        org.nd4j.shade.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      sessionHandle_ = value;
      onChanged();
      return this;
    }

    private java.util.List feed_ =
      java.util.Collections.emptyList();
    private void ensureFeedIsMutable() {
      if (!((bitField0_ & 0x00000002) == 0x00000002)) {
        feed_ = new java.util.ArrayList(feed_);
        bitField0_ |= 0x00000002;
       }
    }

    private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
        org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder> feedBuilder_;

    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public java.util.List getFeedList() {
      if (feedBuilder_ == null) {
        return java.util.Collections.unmodifiableList(feed_);
      } else {
        return feedBuilder_.getMessageList();
      }
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public int getFeedCount() {
      if (feedBuilder_ == null) {
        return feed_.size();
      } else {
        return feedBuilder_.getCount();
      }
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public org.tensorflow.framework.NamedTensorProto getFeed(int index) {
      if (feedBuilder_ == null) {
        return feed_.get(index);
      } else {
        return feedBuilder_.getMessage(index);
      }
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder setFeed(
        int index, org.tensorflow.framework.NamedTensorProto value) {
      if (feedBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureFeedIsMutable();
        feed_.set(index, value);
        onChanged();
      } else {
        feedBuilder_.setMessage(index, value);
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder setFeed(
        int index, org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
      if (feedBuilder_ == null) {
        ensureFeedIsMutable();
        feed_.set(index, builderForValue.build());
        onChanged();
      } else {
        feedBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder addFeed(org.tensorflow.framework.NamedTensorProto value) {
      if (feedBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureFeedIsMutable();
        feed_.add(value);
        onChanged();
      } else {
        feedBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder addFeed(
        int index, org.tensorflow.framework.NamedTensorProto value) {
      if (feedBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureFeedIsMutable();
        feed_.add(index, value);
        onChanged();
      } else {
        feedBuilder_.addMessage(index, value);
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder addFeed(
        org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
      if (feedBuilder_ == null) {
        ensureFeedIsMutable();
        feed_.add(builderForValue.build());
        onChanged();
      } else {
        feedBuilder_.addMessage(builderForValue.build());
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder addFeed(
        int index, org.tensorflow.framework.NamedTensorProto.Builder builderForValue) {
      if (feedBuilder_ == null) {
        ensureFeedIsMutable();
        feed_.add(index, builderForValue.build());
        onChanged();
      } else {
        feedBuilder_.addMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder addAllFeed(
        java.lang.Iterable values) {
      if (feedBuilder_ == null) {
        ensureFeedIsMutable();
        org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
            values, feed_);
        onChanged();
      } else {
        feedBuilder_.addAllMessages(values);
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder clearFeed() {
      if (feedBuilder_ == null) {
        feed_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000002);
        onChanged();
      } else {
        feedBuilder_.clear();
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public Builder removeFeed(int index) {
      if (feedBuilder_ == null) {
        ensureFeedIsMutable();
        feed_.remove(index);
        onChanged();
      } else {
        feedBuilder_.remove(index);
      }
      return this;
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public org.tensorflow.framework.NamedTensorProto.Builder getFeedBuilder(
        int index) {
      return getFeedFieldBuilder().getBuilder(index);
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public org.tensorflow.framework.NamedTensorProtoOrBuilder getFeedOrBuilder(
        int index) {
      if (feedBuilder_ == null) {
        return feed_.get(index);  } else {
        return feedBuilder_.getMessageOrBuilder(index);
      }
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public java.util.List 
         getFeedOrBuilderList() {
      if (feedBuilder_ != null) {
        return feedBuilder_.getMessageOrBuilderList();
      } else {
        return java.util.Collections.unmodifiableList(feed_);
      }
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public org.tensorflow.framework.NamedTensorProto.Builder addFeedBuilder() {
      return getFeedFieldBuilder().addBuilder(
          org.tensorflow.framework.NamedTensorProto.getDefaultInstance());
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public org.tensorflow.framework.NamedTensorProto.Builder addFeedBuilder(
        int index) {
      return getFeedFieldBuilder().addBuilder(
          index, org.tensorflow.framework.NamedTensorProto.getDefaultInstance());
    }
    /**
     * 
     * Tensors to be fed in the step. Each feed is a named tensor.
     * 
     *
     * repeated .tensorflow.NamedTensorProto feed = 2;
     */
    public java.util.List 
         getFeedBuilderList() {
      return getFeedFieldBuilder().getBuilderList();
    }
    private org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
        org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder> 
        getFeedFieldBuilder() {
      if (feedBuilder_ == null) {
        feedBuilder_ = new org.nd4j.shade.protobuf.RepeatedFieldBuilderV3<
            org.tensorflow.framework.NamedTensorProto, org.tensorflow.framework.NamedTensorProto.Builder, org.tensorflow.framework.NamedTensorProtoOrBuilder>(
                feed_,
                ((bitField0_ & 0x00000002) == 0x00000002),
                getParentForChildren(),
                isClean());
        feed_ = null;
      }
      return feedBuilder_;
    }

    private org.nd4j.shade.protobuf.LazyStringList fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
    private void ensureFetchIsMutable() {
      if (!((bitField0_ & 0x00000004) == 0x00000004)) {
        fetch_ = new org.nd4j.shade.protobuf.LazyStringArrayList(fetch_);
        bitField0_ |= 0x00000004;
       }
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public org.nd4j.shade.protobuf.ProtocolStringList
        getFetchList() {
      return fetch_.getUnmodifiableView();
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public int getFetchCount() {
      return fetch_.size();
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public java.lang.String getFetch(int index) {
      return fetch_.get(index);
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public org.nd4j.shade.protobuf.ByteString
        getFetchBytes(int index) {
      return fetch_.getByteString(index);
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public Builder setFetch(
        int index, java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  ensureFetchIsMutable();
      fetch_.set(index, value);
      onChanged();
      return this;
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public Builder addFetch(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  ensureFetchIsMutable();
      fetch_.add(value);
      onChanged();
      return this;
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public Builder addAllFetch(
        java.lang.Iterable values) {
      ensureFetchIsMutable();
      org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
          values, fetch_);
      onChanged();
      return this;
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public Builder clearFetch() {
      fetch_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000004);
      onChanged();
      return this;
    }
    /**
     * 
     * Fetches. A list of tensor names. The caller 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 = 3;
     */
    public Builder addFetchBytes(
        org.nd4j.shade.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      ensureFetchIsMutable();
      fetch_.add(value);
      onChanged();
      return this;
    }

    private org.nd4j.shade.protobuf.LazyStringList target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
    private void ensureTargetIsMutable() {
      if (!((bitField0_ & 0x00000008) == 0x00000008)) {
        target_ = new org.nd4j.shade.protobuf.LazyStringArrayList(target_);
        bitField0_ |= 0x00000008;
       }
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public org.nd4j.shade.protobuf.ProtocolStringList
        getTargetList() {
      return target_.getUnmodifiableView();
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public int getTargetCount() {
      return target_.size();
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public java.lang.String getTarget(int index) {
      return target_.get(index);
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public org.nd4j.shade.protobuf.ByteString
        getTargetBytes(int index) {
      return target_.getByteString(index);
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public Builder setTarget(
        int index, java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  ensureTargetIsMutable();
      target_.set(index, value);
      onChanged();
      return this;
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public Builder addTarget(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  ensureTargetIsMutable();
      target_.add(value);
      onChanged();
      return this;
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public Builder addAllTarget(
        java.lang.Iterable values) {
      ensureTargetIsMutable();
      org.nd4j.shade.protobuf.AbstractMessageLite.Builder.addAll(
          values, target_);
      onChanged();
      return this;
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public Builder clearTarget() {
      target_ = org.nd4j.shade.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000008);
      onChanged();
      return this;
    }
    /**
     * 
     * Target Nodes. A list of node names. The named nodes will be run
     * to but their outputs will not be fetched.
     * 
     *
     * repeated string target = 4;
     */
    public Builder addTargetBytes(
        org.nd4j.shade.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      ensureTargetIsMutable();
      target_.add(value);
      onChanged();
      return this;
    }

    private org.tensorflow.framework.RunOptions options_ = null;
    private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
        org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder> optionsBuilder_;
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public boolean hasOptions() {
      return optionsBuilder_ != null || options_ != null;
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public org.tensorflow.framework.RunOptions getOptions() {
      if (optionsBuilder_ == null) {
        return options_ == null ? org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
      } else {
        return optionsBuilder_.getMessage();
      }
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public Builder setOptions(org.tensorflow.framework.RunOptions value) {
      if (optionsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        options_ = value;
        onChanged();
      } else {
        optionsBuilder_.setMessage(value);
      }

      return this;
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public Builder setOptions(
        org.tensorflow.framework.RunOptions.Builder builderForValue) {
      if (optionsBuilder_ == null) {
        options_ = builderForValue.build();
        onChanged();
      } else {
        optionsBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public Builder mergeOptions(org.tensorflow.framework.RunOptions value) {
      if (optionsBuilder_ == null) {
        if (options_ != null) {
          options_ =
            org.tensorflow.framework.RunOptions.newBuilder(options_).mergeFrom(value).buildPartial();
        } else {
          options_ = value;
        }
        onChanged();
      } else {
        optionsBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public Builder clearOptions() {
      if (optionsBuilder_ == null) {
        options_ = null;
        onChanged();
      } else {
        options_ = null;
        optionsBuilder_ = null;
      }

      return this;
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public org.tensorflow.framework.RunOptions.Builder getOptionsBuilder() {
      
      onChanged();
      return getOptionsFieldBuilder().getBuilder();
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    public org.tensorflow.framework.RunOptionsOrBuilder getOptionsOrBuilder() {
      if (optionsBuilder_ != null) {
        return optionsBuilder_.getMessageOrBuilder();
      } else {
        return options_ == null ?
            org.tensorflow.framework.RunOptions.getDefaultInstance() : options_;
      }
    }
    /**
     * 
     * Options for the run call.
     * 
     *
     * .tensorflow.RunOptions options = 5;
     */
    private org.nd4j.shade.protobuf.SingleFieldBuilderV3<
        org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder> 
        getOptionsFieldBuilder() {
      if (optionsBuilder_ == null) {
        optionsBuilder_ = new org.nd4j.shade.protobuf.SingleFieldBuilderV3<
            org.tensorflow.framework.RunOptions, org.tensorflow.framework.RunOptions.Builder, org.tensorflow.framework.RunOptionsOrBuilder>(
                getOptions(),
                getParentForChildren(),
                isClean());
        options_ = null;
      }
      return optionsBuilder_;
    }

    private java.lang.Object partialRunHandle_ = "";
    /**
     * 
     * Partial run handle (optional). If specified, this will be a partial run
     * execution, run up to the specified fetches.
     * 
     *
     * string partial_run_handle = 6;
     */
    public java.lang.String getPartialRunHandle() {
      java.lang.Object ref = partialRunHandle_;
      if (!(ref instanceof java.lang.String)) {
        org.nd4j.shade.protobuf.ByteString bs =
            (org.nd4j.shade.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        partialRunHandle_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     * 
     * Partial run handle (optional). If specified, this will be a partial run
     * execution, run up to the specified fetches.
     * 
     *
     * string partial_run_handle = 6;
     */
    public org.nd4j.shade.protobuf.ByteString
        getPartialRunHandleBytes() {
      java.lang.Object ref = partialRunHandle_;
      if (ref instanceof String) {
        org.nd4j.shade.protobuf.ByteString b = 
            org.nd4j.shade.protobuf.ByteString.copyFromUtf8(
                (java.lang.String) ref);
        partialRunHandle_ = b;
        return b;
      } else {
        return (org.nd4j.shade.protobuf.ByteString) ref;
      }
    }
    /**
     * 
     * Partial run handle (optional). If specified, this will be a partial run
     * execution, run up to the specified fetches.
     * 
     *
     * string partial_run_handle = 6;
     */
    public Builder setPartialRunHandle(
        java.lang.String value) {
      if (value == null) {
    throw new NullPointerException();
  }
  
      partialRunHandle_ = value;
      onChanged();
      return this;
    }
    /**
     * 
     * Partial run handle (optional). If specified, this will be a partial run
     * execution, run up to the specified fetches.
     * 
     *
     * string partial_run_handle = 6;
     */
    public Builder clearPartialRunHandle() {
      
      partialRunHandle_ = getDefaultInstance().getPartialRunHandle();
      onChanged();
      return this;
    }
    /**
     * 
     * Partial run handle (optional). If specified, this will be a partial run
     * execution, run up to the specified fetches.
     * 
     *
     * string partial_run_handle = 6;
     */
    public Builder setPartialRunHandleBytes(
        org.nd4j.shade.protobuf.ByteString value) {
      if (value == null) {
    throw new NullPointerException();
  }
  checkByteStringIsUtf8(value);
      
      partialRunHandle_ = value;
      onChanged();
      return this;
    }

    private boolean storeErrorsInResponseBody_ ;
    /**
     * 
     * If true then some errors, e.g., execution errors that have long
     * error messages, may return an OK RunStepResponse with the actual
     * error saved in the status_code/status_error_message fields of the
     * response body. This is a workaround since the RPC subsystem may
     * truncate long metadata messages.
     * 
     *
     * bool store_errors_in_response_body = 7;
     */
    public boolean getStoreErrorsInResponseBody() {
      return storeErrorsInResponseBody_;
    }
    /**
     * 
     * If true then some errors, e.g., execution errors that have long
     * error messages, may return an OK RunStepResponse with the actual
     * error saved in the status_code/status_error_message fields of the
     * response body. This is a workaround since the RPC subsystem may
     * truncate long metadata messages.
     * 
     *
     * bool store_errors_in_response_body = 7;
     */
    public Builder setStoreErrorsInResponseBody(boolean value) {
      
      storeErrorsInResponseBody_ = value;
      onChanged();
      return this;
    }
    /**
     * 
     * If true then some errors, e.g., execution errors that have long
     * error messages, may return an OK RunStepResponse with the actual
     * error saved in the status_code/status_error_message fields of the
     * response body. This is a workaround since the RPC subsystem may
     * truncate long metadata messages.
     * 
     *
     * bool store_errors_in_response_body = 7;
     */
    public Builder clearStoreErrorsInResponseBody() {
      
      storeErrorsInResponseBody_ = 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.RunStepRequest)
  }

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

  public static org.tensorflow.distruntime.RunStepRequest getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final org.nd4j.shade.protobuf.Parser
      PARSER = new org.nd4j.shade.protobuf.AbstractParser() {
    public RunStepRequest parsePartialFrom(
        org.nd4j.shade.protobuf.CodedInputStream input,
        org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
        throws org.nd4j.shade.protobuf.InvalidProtocolBufferException {
      return new RunStepRequest(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.RunStepRequest getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }

}