TensorInfoOrBuilder

パブリック インターフェイスTensorInfoOrBuilder
既知の間接サブクラス

パブリックメソッド

抽象TensorInfo.CompositeTensor
getCompositeTensor ()
 Generic encoding for CompositeTensors.
抽象TensorInfo.CompositeTensorOrBuilder
getCompositeTensorOrBuilder ()
 Generic encoding for CompositeTensors.
抽象TensorInfo.CooSparse
getCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象TensorInfo.CooSparseOrBuilder
getCooSparseOrBuilder ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象データ型
getDtype ()
.tensorflow.DataType dtype = 2;
抽象整数
getDtypeValue ()
.tensorflow.DataType dtype = 2;
抽象TensorInfo.EncodingCase
getEncodingCase ()
抽象文字列
getName ()
 For dense `Tensor`s, the name of the tensor in the graph.
抽象的な com.google.protobuf.ByteString
getNameBytes ()
 For dense `Tensor`s, the name of the tensor in the graph.
抽象TensorShapeProto
getTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
抽象TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.
抽象ブール値
hasCompositeTensor ()
 Generic encoding for CompositeTensors.
抽象ブール値
hasCooSparse ()
 There are many possible encodings of sparse matrices
 (https://en.wikipedia.org/wiki/Sparse_matrix).
抽象ブール値
hasTensorShape ()
 The static shape should be recorded here, to the extent that it can
 be known in advance.

パブリックメソッド

パブリック抽象TensorInfo.CompositeTensor getCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

パブリック抽象TensorInfo.CompositeTensorOrBuilder getCompositeTensorOrBuilder () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

パブリック抽象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;

パブリック抽象TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder () 

 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;

public abstract DataType getDtype ()

.tensorflow.DataType dtype = 2;

パブリック抽象 int getDtypeValue ()

.tensorflow.DataType dtype = 2;

パブリック抽象TensorInfo.EncodingCase getEncodingCase ()

パブリック抽象 String getName () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

パブリック抽象 com.google.protobuf.ByteString getNameBytes () 

 For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;

パブリック抽象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;

パブリック抽象TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

 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;

public abstract boolean hasCompositeTensor () 

 Generic encoding for CompositeTensors.
.tensorflow.TensorInfo.CompositeTensor composite_tensor = 5;

パブリック抽象ブール値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;

public abstract 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;