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

package org.tensorflow.framework;

public interface TensorInfoOrBuilder extends
    // @@protoc_insertion_point(interface_extends:tensorflow.TensorInfo)
    org.nd4j.shade.protobuf.MessageOrBuilder {

  /**
   * 
   * For dense `Tensor`s, the name of the tensor in the graph.
   * 
* * string name = 1; * @return Whether the name field is set. */ boolean hasName(); /** *
   * For dense `Tensor`s, the name of the tensor in the graph.
   * 
* * string name = 1; * @return The name. */ java.lang.String getName(); /** *
   * For dense `Tensor`s, the name of the tensor in the graph.
   * 
* * string name = 1; * @return The bytes for name. */ org.nd4j.shade.protobuf.ByteString getNameBytes(); /** *
   * There are many possible encodings of sparse matrices
   * (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
   * uses only the COO encoding.  This is supported and documented in the
   * SparseTensor Python class.
   * 
* * .tensorflow.TensorInfo.CooSparse coo_sparse = 4; * @return Whether the cooSparse field is set. */ boolean hasCooSparse(); /** *
   * There are many possible encodings of sparse matrices
   * (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
   * uses only the COO encoding.  This is supported and documented in the
   * SparseTensor Python class.
   * 
* * .tensorflow.TensorInfo.CooSparse coo_sparse = 4; * @return The cooSparse. */ org.tensorflow.framework.TensorInfo.CooSparse getCooSparse(); /** *
   * There are many possible encodings of sparse matrices
   * (https://en.wikipedia.org/wiki/Sparse_matrix).  Currently, TensorFlow
   * uses only the COO encoding.  This is supported and documented in the
   * SparseTensor Python class.
   * 
* * .tensorflow.TensorInfo.CooSparse coo_sparse = 4; */ org.tensorflow.framework.TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder(); /** * .tensorflow.DataType dtype = 2; * @return The enum numeric value on the wire for dtype. */ int getDtypeValue(); /** * .tensorflow.DataType dtype = 2; * @return The dtype. */ org.tensorflow.framework.DataType getDtype(); /** *
   * The static shape should be recorded here, to the extent that it can
   * be known in advance.  In the case of a SparseTensor, this field describes
   * the logical shape of the represented tensor (aka dense_shape).
   * 
* * .tensorflow.TensorShapeProto tensor_shape = 3; * @return Whether the tensorShape field is set. */ boolean hasTensorShape(); /** *
   * The static shape should be recorded here, to the extent that it can
   * be known in advance.  In the case of a SparseTensor, this field describes
   * the logical shape of the represented tensor (aka dense_shape).
   * 
* * .tensorflow.TensorShapeProto tensor_shape = 3; * @return The tensorShape. */ org.tensorflow.framework.TensorShapeProto getTensorShape(); /** *
   * The static shape should be recorded here, to the extent that it can
   * be known in advance.  In the case of a SparseTensor, this field describes
   * the logical shape of the represented tensor (aka dense_shape).
   * 
* * .tensorflow.TensorShapeProto tensor_shape = 3; */ org.tensorflow.framework.TensorShapeProtoOrBuilder getTensorShapeOrBuilder(); public org.tensorflow.framework.TensorInfo.EncodingCase getEncodingCase(); }




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