tensorflow::ops::SparseTensorDenseMatMul

#include <sparse_ops.h>

Multiply SparseTensor (of rank 2) "A" by dense matrix "B".

No validity checking is performed on the indices of A. However, the following input format is recommended for optimal behavior:

if adjoint_a == false: A should be sorted in lexicographically increasing order. Use SparseReorder if you're not sure. if adjoint_a == true: A should be sorted in order of increasing dimension 1 (i.e., "column major" order instead of "row major" order).

Arguments:

  • scope: A Scope object
  • a_indices: 2-D. The indices of the SparseTensor, size [nnz, 2] Matrix.
  • a_values: 1-D. The values of the SparseTensor, size [nnz] Vector.
  • a_shape: 1-D. The shape of the SparseTensor, size [2] Vector.
  • b: 2-D. A dense Matrix.

Optional attributes (see Attrs):

  • adjoint_a: Use the adjoint of A in the matrix multiply. If A is complex, this is transpose(conj(A)). Otherwise it's transpose(A).
  • adjoint_b: Use the adjoint of B in the matrix multiply. If B is complex, this is transpose(conj(B)). Otherwise it's transpose(B).

Returns:

Constructors and Destructors

SparseTensorDenseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b)
SparseTensorDenseMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a_indices, ::tensorflow::Input a_values, ::tensorflow::Input a_shape, ::tensorflow::Input b, const SparseTensorDenseMatMul::Attrs & attrs)

Public functions

node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions

AdjointA(bool x)
AdjointB(bool x)

Public attributes

operation

Operation operation

product

::tensorflow::Output product

Public functions

SparseTensorDenseMatMul

 SparseTensorDenseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a_indices,
  ::tensorflow::Input a_values,
  ::tensorflow::Input a_shape,
  ::tensorflow::Input b
)

SparseTensorDenseMatMul

 SparseTensorDenseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a_indices,
  ::tensorflow::Input a_values,
  ::tensorflow::Input a_shape,
  ::tensorflow::Input b,
  const SparseTensorDenseMatMul::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

AdjointA

Attrs AdjointA(
  bool x
)

AdjointB

Attrs AdjointB(
  bool x
)