tensorflow::ops::SparseTensorDenseMatMul

#include <sparse_ops.h>

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

Summary

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 attributes

product

Public functions

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

Public static functions

AdjointA(bool x)
AdjointB(bool x)

Structs

tensorflow::ops::SparseTensorDenseMatMul::Attrs

Optional attribute setters for SparseTensorDenseMatMul.

Public attributes

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
)