tensorflow:: ops:: SparseMatMul

#include <math_ops.h>

Multiply matrix "a" by matrix "b".

Summary

The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both "a" and "b" must be Tensor s not SparseTensor s. This op is optimized for the case where at least one of "a" or "b" is sparse, in the sense that they have a large proportion of zero values. The breakeven for using this versus a dense matrix multiply on one platform was 30% zero values in the sparse matrix.

The gradient computation of this operation will only take advantage of sparsity in the input gradient when that gradient comes from a Relu .

Args:

Returns:

Constructors and Destructors

SparseMatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b)
SparseMatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b, const SparseMatMul::Attrs & attrs)

Public attributes

operation
product

Public functions

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

Public static functions

AIsSparse (bool x)
BIsSparse (bool x)
TransposeA (bool x)
TransposeB (bool x)

Structs

tensorflow:: ops:: SparseMatMul:: Attrs

Optional attribute setters for SparseMatMul .

Public attributes

operation 

Operation operation

product 

::tensorflow::Output product

Public functions

SparseMatMul 

 SparseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b
)

SparseMatMul 

 SparseMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  const SparseMatMul::Attrs & attrs
)

node 

::tensorflow::Node * node() const

operator::tensorflow::Input 

 operator::tensorflow::Input() const

operator::tensorflow::Output 

 operator::tensorflow::Output() const

Public static functions

AIsSparse 

Attrs AIsSparse(
  bool x
)

BIsSparse 

Attrs BIsSparse(
  bool x
)

TransposeA 

Attrs TransposeA(
  bool x
)

TransposeB 

Attrs TransposeB(
  bool x
)