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

package org.tensorflow.proto.data.experimental;

/**
 * <pre>
 * Each SnapshotRecord represents one batch of pre-processed input data. A batch
 * consists of a list of tensors that we encode as TensorProtos. This message
 * doesn't store the structure of the batch.
 * </pre>
 *
 * Protobuf type {@code tensorflow.data.experimental.SnapshotRecord}
 */
public  final class SnapshotRecord extends
    com.google.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.data.experimental.SnapshotRecord)
    SnapshotRecordOrBuilder {
private static final long serialVersionUID = 0L;
  // Use SnapshotRecord.newBuilder() to construct.
  private SnapshotRecord(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }
  private SnapshotRecord() {
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  }

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  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(
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      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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    this();
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            tensor_.add(
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            break;
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    }
  }
  public static final com.google.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.proto.data.experimental.SnapshotProtos.internal_static_tensorflow_data_experimental_SnapshotRecord_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
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        .ensureFieldAccessorsInitialized(
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  public static final int TENSOR_FIELD_NUMBER = 1;
  private java.util.List<org.tensorflow.proto.framework.TensorProto> tensor_;
  /**
   * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
   */
  public java.util.List<org.tensorflow.proto.framework.TensorProto> getTensorList() {
    return tensor_;
  }
  /**
   * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
   */
  public java.util.List<? extends org.tensorflow.proto.framework.TensorProtoOrBuilder> 
      getTensorOrBuilderList() {
    return tensor_;
  }
  /**
   * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
   */
  public int getTensorCount() {
    return tensor_.size();
  }
  /**
   * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
   */
  public org.tensorflow.proto.framework.TensorProto getTensor(int index) {
    return tensor_.get(index);
  }
  /**
   * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
   */
  public org.tensorflow.proto.framework.TensorProtoOrBuilder getTensorOrBuilder(
      int index) {
    return tensor_.get(index);
  }

  private byte memoizedIsInitialized = -1;
  @java.lang.Override
  public final boolean isInitialized() {
    byte isInitialized = memoizedIsInitialized;
    if (isInitialized == 1) return true;
    if (isInitialized == 0) return false;

    memoizedIsInitialized = 1;
    return true;
  }

  @java.lang.Override
  public void writeTo(com.google.protobuf.CodedOutputStream output)
                      throws java.io.IOException {
    for (int i = 0; i < tensor_.size(); i++) {
      output.writeMessage(1, tensor_.get(i));
    }
    unknownFields.writeTo(output);
  }

  @java.lang.Override
  public int getSerializedSize() {
    int size = memoizedSize;
    if (size != -1) return size;

    size = 0;
    for (int i = 0; i < tensor_.size(); i++) {
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    memoizedSize = size;
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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.proto.data.experimental.SnapshotRecord)) {
      return super.equals(obj);
    }
    org.tensorflow.proto.data.experimental.SnapshotRecord other = (org.tensorflow.proto.data.experimental.SnapshotRecord) obj;

    if (!getTensorList()
        .equals(other.getTensorList())) return false;
    if (!unknownFields.equals(other.unknownFields)) return false;
    return true;
  }

  @java.lang.Override
  public int hashCode() {
    if (memoizedHashCode != 0) {
      return memoizedHashCode;
    }
    int hash = 41;
    hash = (19 * hash) + getDescriptor().hashCode();
    if (getTensorCount() > 0) {
      hash = (37 * hash) + TENSOR_FIELD_NUMBER;
      hash = (53 * hash) + getTensorList().hashCode();
    }
    hash = (29 * hash) + unknownFields.hashCode();
    memoizedHashCode = hash;
    return hash;
  }

  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      java.nio.ByteBuffer data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      java.nio.ByteBuffer data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      com.google.protobuf.ByteString data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      com.google.protobuf.ByteString data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(byte[] data)
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    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      byte[] data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(java.io.InputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      java.io.InputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input, extensionRegistry);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseDelimitedFrom(java.io.InputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseDelimitedWithIOException(PARSER, input);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseDelimitedFrom(
      java.io.InputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
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  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      com.google.protobuf.CodedInputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input);
  }
  public static org.tensorflow.proto.data.experimental.SnapshotRecord parseFrom(
      com.google.protobuf.CodedInputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input, extensionRegistry);
  }

  @java.lang.Override
  public Builder newBuilderForType() { return newBuilder(); }
  public static Builder newBuilder() {
    return DEFAULT_INSTANCE.toBuilder();
  }
  public static Builder newBuilder(org.tensorflow.proto.data.experimental.SnapshotRecord prototype) {
    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
  }
  @java.lang.Override
  public Builder toBuilder() {
    return this == DEFAULT_INSTANCE
        ? new Builder() : new Builder().mergeFrom(this);
  }

  @java.lang.Override
  protected Builder newBuilderForType(
      com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
    Builder builder = new Builder(parent);
    return builder;
  }
  /**
   * <pre>
   * Each SnapshotRecord represents one batch of pre-processed input data. A batch
   * consists of a list of tensors that we encode as TensorProtos. This message
   * doesn't store the structure of the batch.
   * </pre>
   *
   * Protobuf type {@code tensorflow.data.experimental.SnapshotRecord}
   */
  public static final class Builder extends
      com.google.protobuf.GeneratedMessageV3.Builder<Builder> implements
      // @@protoc_insertion_point(builder_implements:tensorflow.data.experimental.SnapshotRecord)
      org.tensorflow.proto.data.experimental.SnapshotRecordOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor
        getDescriptor() {
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    @java.lang.Override
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          .ensureFieldAccessorsInitialized(
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    // Construct using org.tensorflow.proto.data.experimental.SnapshotRecord.newBuilder()
    private Builder() {
      maybeForceBuilderInitialization();
    }

    private Builder(
        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      super(parent);
      maybeForceBuilderInitialization();
    }
    private void maybeForceBuilderInitialization() {
      if (com.google.protobuf.GeneratedMessageV3
              .alwaysUseFieldBuilders) {
        getTensorFieldBuilder();
      }
    }
    @java.lang.Override
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      if (tensorBuilder_ == null) {
        tensor_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000001);
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        tensorBuilder_.clear();
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      return this;
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    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor
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      return org.tensorflow.proto.data.experimental.SnapshotProtos.internal_static_tensorflow_data_experimental_SnapshotRecord_descriptor;
    }

    @java.lang.Override
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      org.tensorflow.proto.data.experimental.SnapshotRecord result = buildPartial();
      if (!result.isInitialized()) {
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      return result;
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      org.tensorflow.proto.data.experimental.SnapshotRecord result = new org.tensorflow.proto.data.experimental.SnapshotRecord(this);
      int from_bitField0_ = bitField0_;
      if (tensorBuilder_ == null) {
        if (((bitField0_ & 0x00000001) != 0)) {
          tensor_ = java.util.Collections.unmodifiableList(tensor_);
          bitField0_ = (bitField0_ & ~0x00000001);
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      } else {
        result.tensor_ = tensorBuilder_.build();
      }
      onBuilt();
      return result;
    }

    @java.lang.Override
    public Builder clone() {
      return super.clone();
    }
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    public Builder setField(
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        java.lang.Object value) {
      return super.setField(field, value);
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    @java.lang.Override
    public Builder clearField(
        com.google.protobuf.Descriptors.FieldDescriptor field) {
      return super.clearField(field);
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    @java.lang.Override
    public Builder clearOneof(
        com.google.protobuf.Descriptors.OneofDescriptor oneof) {
      return super.clearOneof(oneof);
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    @java.lang.Override
    public Builder setRepeatedField(
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    public Builder addRepeatedField(
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    public Builder mergeFrom(com.google.protobuf.Message other) {
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    public Builder mergeFrom(org.tensorflow.proto.data.experimental.SnapshotRecord other) {
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          onChanged();
        }
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    @java.lang.Override
    public Builder mergeFrom(
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        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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      try {
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      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
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    private int bitField0_;

    private java.util.List<org.tensorflow.proto.framework.TensorProto> tensor_ =
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    private void ensureTensorIsMutable() {
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    private com.google.protobuf.RepeatedFieldBuilderV3<
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    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public java.util.List<org.tensorflow.proto.framework.TensorProto> getTensorList() {
      if (tensorBuilder_ == null) {
        return java.util.Collections.unmodifiableList(tensor_);
      } else {
        return tensorBuilder_.getMessageList();
      }
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public int getTensorCount() {
      if (tensorBuilder_ == null) {
        return tensor_.size();
      } else {
        return tensorBuilder_.getCount();
      }
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public org.tensorflow.proto.framework.TensorProto getTensor(int index) {
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      } else {
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      }
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     */
    public Builder setTensor(
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          throw new NullPointerException();
        }
        ensureTensorIsMutable();
        tensor_.set(index, value);
        onChanged();
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        tensorBuilder_.setMessage(index, value);
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    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public Builder setTensor(
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      if (tensorBuilder_ == null) {
        ensureTensorIsMutable();
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        onChanged();
      } else {
        tensorBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public Builder addTensor(org.tensorflow.proto.framework.TensorProto value) {
      if (tensorBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTensorIsMutable();
        tensor_.add(value);
        onChanged();
      } else {
        tensorBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public Builder addTensor(
        int index, org.tensorflow.proto.framework.TensorProto value) {
      if (tensorBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureTensorIsMutable();
        tensor_.add(index, value);
        onChanged();
      } else {
        tensorBuilder_.addMessage(index, value);
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      return this;
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public Builder addTensor(
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      if (tensorBuilder_ == null) {
        ensureTensorIsMutable();
        tensor_.add(builderForValue.build());
        onChanged();
      } else {
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      return this;
    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
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    public Builder addTensor(
        int index, org.tensorflow.proto.framework.TensorProto.Builder builderForValue) {
      if (tensorBuilder_ == null) {
        ensureTensorIsMutable();
        tensor_.add(index, builderForValue.build());
        onChanged();
      } else {
        tensorBuilder_.addMessage(index, builderForValue.build());
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      return this;
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     */
    public Builder addAllTensor(
        java.lang.Iterable<? extends org.tensorflow.proto.framework.TensorProto> values) {
      if (tensorBuilder_ == null) {
        ensureTensorIsMutable();
        com.google.protobuf.AbstractMessageLite.Builder.addAll(
            values, tensor_);
        onChanged();
      } else {
        tensorBuilder_.addAllMessages(values);
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    }
    /**
     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
    public Builder clearTensor() {
      if (tensorBuilder_ == null) {
        tensor_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000001);
        onChanged();
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    /**
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     */
    public Builder removeTensor(int index) {
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        ensureTensorIsMutable();
        tensor_.remove(index);
        onChanged();
      } else {
        tensorBuilder_.remove(index);
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     */
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    }
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     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
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      if (tensorBuilder_ == null) {
        return tensor_.get(index);  } else {
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      }
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     * <code>repeated .tensorflow.TensorProto tensor = 1;</code>
     */
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        return tensorBuilder_.getMessageOrBuilderList();
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    public final Builder mergeUnknownFields(
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    // @@protoc_insertion_point(builder_scope:tensorflow.data.experimental.SnapshotRecord)
  }

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

  public static org.tensorflow.proto.data.experimental.SnapshotRecord getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

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

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

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

  @java.lang.Override
  public org.tensorflow.proto.data.experimental.SnapshotRecord getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }

}

