TensorInfo.CooSparseOrBuilder

パブリック静的インターフェイスTensorInfo.CooSparseOrBuilder
既知の間接サブクラス

パブリックメソッド

抽象文字列
getDenseShapeTensorName ()
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
抽象的な com.google.protobuf.ByteString
getDenseShapeTensorNameBytes ()
 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.
抽象文字列
getIndicesTensorName ()
 The indices Tensor must have dtype int64 and shape [?, ?].
抽象的な com.google.protobuf.ByteString
getIndicesTensorNameBytes ()
 The indices Tensor must have dtype int64 and shape [?, ?].
抽象文字列
getValuesTensorName ()
 The shape of the values Tensor is [?].
抽象的な com.google.protobuf.ByteString
getValuesTensorNameBytes ()
 The shape of the values Tensor is [?].

パブリックメソッド

public abstract String getDenseShapeTensorName () 

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;

public abstract com.google.protobuf.ByteString getDenseShapeTensorNameBytes () 

 The dynamic logical shape represented by the SparseTensor is recorded in
 the Tensor referenced here.  It must have dtype int64 and shape [?].
string dense_shape_tensor_name = 3;

public abstract String getIndicesTensorName () 

 The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;

public abstract com.google.protobuf.ByteString getIndicesTensorNameBytes () 

 The indices Tensor must have dtype int64 and shape [?, ?].
string indices_tensor_name = 2;

public abstract String getValuesTensorName () 

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;

public abstract com.google.protobuf.ByteString getValuesTensorNameBytes () 

 The shape of the values Tensor is [?].  Its dtype must be the dtype of
 the SparseTensor as a whole, given in the enclosing TensorInfo.
string values_tensor_name = 1;