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// 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.github.os72.protobuf351.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); }




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