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Java API for TensorFlow protocol buffers.
There is a newer version: 1.15.0
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow/core/protobuf/tensor_bundle.proto

package org.tensorflow.util;

public interface BundleEntryProtoOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.BundleEntryProto)
    com.google.protobuf.MessageOrBuilder {

  /**
   *    * The tensor dtype and shape.
   * 
   *
   * .tensorflow.DataType dtype = 1;
   */
  int getDtypeValue();
  /**
   *    * The tensor dtype and shape.
   * 
   *
   * .tensorflow.DataType dtype = 1;
   */
  org.tensorflow.framework.DataType getDtype();

  /**
   * .tensorflow.TensorShapeProto shape = 2;
   */
  boolean hasShape();
  /**
   * .tensorflow.TensorShapeProto shape = 2;
   */
  org.tensorflow.framework.TensorShapeProto getShape();
  /**
   * .tensorflow.TensorShapeProto shape = 2;
   */
  org.tensorflow.framework.TensorShapeProtoOrBuilder getShapeOrBuilder();

  /**
   *    * The binary content of the tensor lies in:
   *   File "shard_id": bytes [offset, offset + size).
   * 
   *
   * int32 shard_id = 3;
   */
  int getShardId();

  /**
   * int64 offset = 4;
   */
  long getOffset();

  /**
   * int64 size = 5;
   */
  long getSize();

  /**
   *    * The CRC32C checksum of the tensor bytes.
   * 
   *
   * fixed32 crc32c = 6;
   */
  int getCrc32C();

  /**
   *    * Iff present, this entry represents a partitioned tensor.  The previous
   * fields are interpreted as follows:
   *   "dtype", "shape": describe the full tensor.
   *   "shard_id", "offset", "size", "crc32c": all IGNORED.
   *      These information for each slice can be looked up in their own
   *      BundleEntryProto, keyed by each "slice_name".
   * 
   *
   * repeated .tensorflow.TensorSliceProto slices = 7;
   */
  java.util.List 
      getSlicesList();
  /**
   *    * Iff present, this entry represents a partitioned tensor.  The previous
   * fields are interpreted as follows:
   *   "dtype", "shape": describe the full tensor.
   *   "shard_id", "offset", "size", "crc32c": all IGNORED.
   *      These information for each slice can be looked up in their own
   *      BundleEntryProto, keyed by each "slice_name".
   * 
   *
   * repeated .tensorflow.TensorSliceProto slices = 7;
   */
  org.tensorflow.framework.TensorSliceProto getSlices(int index);
  /**
   *    * Iff present, this entry represents a partitioned tensor.  The previous
   * fields are interpreted as follows:
   *   "dtype", "shape": describe the full tensor.
   *   "shard_id", "offset", "size", "crc32c": all IGNORED.
   *      These information for each slice can be looked up in their own
   *      BundleEntryProto, keyed by each "slice_name".
   * 
   *
   * repeated .tensorflow.TensorSliceProto slices = 7;
   */
  int getSlicesCount();
  /**
   *    * Iff present, this entry represents a partitioned tensor.  The previous
   * fields are interpreted as follows:
   *   "dtype", "shape": describe the full tensor.
   *   "shard_id", "offset", "size", "crc32c": all IGNORED.
   *      These information for each slice can be looked up in their own
   *      BundleEntryProto, keyed by each "slice_name".
   * 
   *
   * repeated .tensorflow.TensorSliceProto slices = 7;
   */
  java.util.List 
      getSlicesOrBuilderList();
  /**
   *    * Iff present, this entry represents a partitioned tensor.  The previous
   * fields are interpreted as follows:
   *   "dtype", "shape": describe the full tensor.
   *   "shard_id", "offset", "size", "crc32c": all IGNORED.
   *      These information for each slice can be looked up in their own
   *      BundleEntryProto, keyed by each "slice_name".
   * 
   *
   * repeated .tensorflow.TensorSliceProto slices = 7;
   */
  org.tensorflow.framework.TensorSliceProtoOrBuilder getSlicesOrBuilder(
      int index);
}