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

package org.tensorflow.proto.data.experimental;

/**
 * <pre>
 * Metadata for a single tensor in the Snapshot Record.
 * </pre>
 *
 * Protobuf type {@code tensorflow.data.experimental.TensorMetadata}
 */
public  final class TensorMetadata extends
    com.google.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.data.experimental.TensorMetadata)
    TensorMetadataOrBuilder {
private static final long serialVersionUID = 0L;
  // Use TensorMetadata.newBuilder() to construct.
  private TensorMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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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_TensorMetadata_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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  public static final int TENSOR_SHAPE_FIELD_NUMBER = 2;
  private org.tensorflow.proto.framework.TensorShapeProto tensorShape_;
  /**
   * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
   */
  public boolean hasTensorShape() {
    return tensorShape_ != null;
  }
  /**
   * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
   */
  public org.tensorflow.proto.framework.TensorShapeProto getTensorShape() {
    return tensorShape_ == null ? org.tensorflow.proto.framework.TensorShapeProto.getDefaultInstance() : tensorShape_;
  }
  /**
   * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
   */
  public org.tensorflow.proto.framework.TensorShapeProtoOrBuilder getTensorShapeOrBuilder() {
    return getTensorShape();
  }

  public static final int TENSOR_SIZE_BYTES_FIELD_NUMBER = 3;
  private long tensorSizeBytes_;
  /**
   * <pre>
   * Number of uncompressed bytes used to store the tensor representation.
   * </pre>
   *
   * <code>int64 tensor_size_bytes = 3;</code>
   */
  public long getTensorSizeBytes() {
    return tensorSizeBytes_;
  }

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  @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 {
    if (tensorShape_ != null) {
      output.writeMessage(2, getTensorShape());
    }
    if (tensorSizeBytes_ != 0L) {
      output.writeInt64(3, tensorSizeBytes_);
    }
    unknownFields.writeTo(output);
  }

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

    size = 0;
    if (tensorShape_ != null) {
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    if (tensorSizeBytes_ != 0L) {
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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.TensorMetadata)) {
      return super.equals(obj);
    }
    org.tensorflow.proto.data.experimental.TensorMetadata other = (org.tensorflow.proto.data.experimental.TensorMetadata) obj;

    if (hasTensorShape() != other.hasTensorShape()) return false;
    if (hasTensorShape()) {
      if (!getTensorShape()
          .equals(other.getTensorShape())) return false;
    }
    if (getTensorSizeBytes()
        != other.getTensorSizeBytes()) 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 (hasTensorShape()) {
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    hash = (29 * hash) + unknownFields.hashCode();
    memoizedHashCode = hash;
    return hash;
  }

  public static org.tensorflow.proto.data.experimental.TensorMetadata parseFrom(
      java.nio.ByteBuffer data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.TensorMetadata parseFrom(
      java.nio.ByteBuffer data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static org.tensorflow.proto.data.experimental.TensorMetadata parseFrom(
      com.google.protobuf.ByteString data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.TensorMetadata 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.TensorMetadata parseFrom(byte[] data)
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    return PARSER.parseFrom(data);
  }
  public static org.tensorflow.proto.data.experimental.TensorMetadata 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.TensorMetadata parseFrom(java.io.InputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseWithIOException(PARSER, input);
  }
  public static org.tensorflow.proto.data.experimental.TensorMetadata 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.TensorMetadata parseDelimitedFrom(java.io.InputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseDelimitedWithIOException(PARSER, input);
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  public static org.tensorflow.proto.data.experimental.TensorMetadata parseDelimitedFrom(
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      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3
        .parseDelimitedWithIOException(PARSER, input, extensionRegistry);
  }
  public static org.tensorflow.proto.data.experimental.TensorMetadata 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.TensorMetadata 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.TensorMetadata 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>
   * Metadata for a single tensor in the Snapshot Record.
   * </pre>
   *
   * Protobuf type {@code tensorflow.data.experimental.TensorMetadata}
   */
  public static final class Builder extends
      com.google.protobuf.GeneratedMessageV3.Builder<Builder> implements
      // @@protoc_insertion_point(builder_implements:tensorflow.data.experimental.TensorMetadata)
      org.tensorflow.proto.data.experimental.TensorMetadataOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor
        getDescriptor() {
      return org.tensorflow.proto.data.experimental.SnapshotProtos.internal_static_tensorflow_data_experimental_TensorMetadata_descriptor;
    }

    @java.lang.Override
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          .ensureFieldAccessorsInitialized(
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    private Builder() {
      maybeForceBuilderInitialization();
    }

    private Builder(
        com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      super(parent);
      maybeForceBuilderInitialization();
    }
    private void maybeForceBuilderInitialization() {
      if (com.google.protobuf.GeneratedMessageV3
              .alwaysUseFieldBuilders) {
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    @java.lang.Override
    public Builder clear() {
      super.clear();
      if (tensorShapeBuilder_ == null) {
        tensorShape_ = null;
      } else {
        tensorShape_ = null;
        tensorShapeBuilder_ = null;
      }
      tensorSizeBytes_ = 0L;

      return this;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor
        getDescriptorForType() {
      return org.tensorflow.proto.data.experimental.SnapshotProtos.internal_static_tensorflow_data_experimental_TensorMetadata_descriptor;
    }

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

    @java.lang.Override
    public org.tensorflow.proto.data.experimental.TensorMetadata build() {
      org.tensorflow.proto.data.experimental.TensorMetadata result = buildPartial();
      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public org.tensorflow.proto.data.experimental.TensorMetadata buildPartial() {
      org.tensorflow.proto.data.experimental.TensorMetadata result = new org.tensorflow.proto.data.experimental.TensorMetadata(this);
      if (tensorShapeBuilder_ == null) {
        result.tensorShape_ = tensorShape_;
      } else {
        result.tensorShape_ = tensorShapeBuilder_.build();
      }
      result.tensorSizeBytes_ = tensorSizeBytes_;
      onBuilt();
      return result;
    }

    @java.lang.Override
    public Builder clone() {
      return super.clone();
    }
    @java.lang.Override
    public Builder setField(
        com.google.protobuf.Descriptors.FieldDescriptor field,
        java.lang.Object value) {
      return super.setField(field, value);
    }
    @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(
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    public Builder addRepeatedField(
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    @java.lang.Override
    public Builder mergeFrom(com.google.protobuf.Message other) {
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    public Builder mergeFrom(org.tensorflow.proto.data.experimental.TensorMetadata other) {
      if (other == org.tensorflow.proto.data.experimental.TensorMetadata.getDefaultInstance()) return this;
      if (other.hasTensorShape()) {
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      if (other.getTensorSizeBytes() != 0L) {
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      this.mergeUnknownFields(other.unknownFields);
      onChanged();
      return this;
    }

    @java.lang.Override
    public final boolean isInitialized() {
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    @java.lang.Override
    public Builder mergeFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws java.io.IOException {
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      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        parsedMessage = (org.tensorflow.proto.data.experimental.TensorMetadata) e.getUnfinishedMessage();
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          mergeFrom(parsedMessage);
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      }
      return this;
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    private org.tensorflow.proto.framework.TensorShapeProto tensorShape_;
    private com.google.protobuf.SingleFieldBuilderV3<
        org.tensorflow.proto.framework.TensorShapeProto, org.tensorflow.proto.framework.TensorShapeProto.Builder, org.tensorflow.proto.framework.TensorShapeProtoOrBuilder> tensorShapeBuilder_;
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public boolean hasTensorShape() {
      return tensorShapeBuilder_ != null || tensorShape_ != null;
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public org.tensorflow.proto.framework.TensorShapeProto getTensorShape() {
      if (tensorShapeBuilder_ == null) {
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      } else {
        return tensorShapeBuilder_.getMessage();
      }
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    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public Builder setTensorShape(org.tensorflow.proto.framework.TensorShapeProto value) {
      if (tensorShapeBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        tensorShape_ = value;
        onChanged();
      } else {
        tensorShapeBuilder_.setMessage(value);
      }

      return this;
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public Builder setTensorShape(
        org.tensorflow.proto.framework.TensorShapeProto.Builder builderForValue) {
      if (tensorShapeBuilder_ == null) {
        tensorShape_ = builderForValue.build();
        onChanged();
      } else {
        tensorShapeBuilder_.setMessage(builderForValue.build());
      }

      return this;
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public Builder mergeTensorShape(org.tensorflow.proto.framework.TensorShapeProto value) {
      if (tensorShapeBuilder_ == null) {
        if (tensorShape_ != null) {
          tensorShape_ =
            org.tensorflow.proto.framework.TensorShapeProto.newBuilder(tensorShape_).mergeFrom(value).buildPartial();
        } else {
          tensorShape_ = value;
        }
        onChanged();
      } else {
        tensorShapeBuilder_.mergeFrom(value);
      }

      return this;
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public Builder clearTensorShape() {
      if (tensorShapeBuilder_ == null) {
        tensorShape_ = null;
        onChanged();
      } else {
        tensorShape_ = null;
        tensorShapeBuilder_ = null;
      }

      return this;
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public org.tensorflow.proto.framework.TensorShapeProto.Builder getTensorShapeBuilder() {
      
      onChanged();
      return getTensorShapeFieldBuilder().getBuilder();
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    public org.tensorflow.proto.framework.TensorShapeProtoOrBuilder getTensorShapeOrBuilder() {
      if (tensorShapeBuilder_ != null) {
        return tensorShapeBuilder_.getMessageOrBuilder();
      } else {
        return tensorShape_ == null ?
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      }
    }
    /**
     * <code>.tensorflow.TensorShapeProto tensor_shape = 2;</code>
     */
    private com.google.protobuf.SingleFieldBuilderV3<
        org.tensorflow.proto.framework.TensorShapeProto, org.tensorflow.proto.framework.TensorShapeProto.Builder, org.tensorflow.proto.framework.TensorShapeProtoOrBuilder> 
        getTensorShapeFieldBuilder() {
      if (tensorShapeBuilder_ == null) {
        tensorShapeBuilder_ = new com.google.protobuf.SingleFieldBuilderV3<
            org.tensorflow.proto.framework.TensorShapeProto, org.tensorflow.proto.framework.TensorShapeProto.Builder, org.tensorflow.proto.framework.TensorShapeProtoOrBuilder>(
                getTensorShape(),
                getParentForChildren(),
                isClean());
        tensorShape_ = null;
      }
      return tensorShapeBuilder_;
    }

    private long tensorSizeBytes_ ;
    /**
     * <pre>
     * Number of uncompressed bytes used to store the tensor representation.
     * </pre>
     *
     * <code>int64 tensor_size_bytes = 3;</code>
     */
    public long getTensorSizeBytes() {
      return tensorSizeBytes_;
    }
    /**
     * <pre>
     * Number of uncompressed bytes used to store the tensor representation.
     * </pre>
     *
     * <code>int64 tensor_size_bytes = 3;</code>
     */
    public Builder setTensorSizeBytes(long value) {
      
      tensorSizeBytes_ = value;
      onChanged();
      return this;
    }
    /**
     * <pre>
     * Number of uncompressed bytes used to store the tensor representation.
     * </pre>
     *
     * <code>int64 tensor_size_bytes = 3;</code>
     */
    public Builder clearTensorSizeBytes() {
      
      tensorSizeBytes_ = 0L;
      onChanged();
      return this;
    }
    @java.lang.Override
    public final Builder setUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
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    // @@protoc_insertion_point(builder_scope:tensorflow.data.experimental.TensorMetadata)
  }

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

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

  private static final com.google.protobuf.Parser<TensorMetadata>
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    public TensorMetadata parsePartialFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws com.google.protobuf.InvalidProtocolBufferException {
      return new TensorMetadata(input, extensionRegistry);
    }
  };

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

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

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

}

