tensorflow:: ops:: MatMul

#include <math_ops.h>

Multiply the matrix "a" by the matrix "b".

Summary

The inputs must be two-dimensional matrices and the inner dimension of "a" (after being transposed if transpose_a is true) must match the outer dimension of "b" (after being transposed if transposed_b is true).

Note : The default kernel implementation for MatMul on GPUs uses cublas.

Args:

• scope: A Scope object

Optional attributes (see Attrs ):

• transpose_a: If true, "a" is transposed before multiplication.
• transpose_b: If true, "b" is transposed before multiplication.

Returns:

• Output : The product tensor.

Constructors and Destructors
MatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b)
MatMul (const :: tensorflow::Scope & scope, :: tensorflow::Input a, :: tensorflow::Input b, const MatMul::Attrs & attrs)

Public attributes
operation	Operation
product	:: tensorflow::Output

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

Public static functions
TransposeA (bool x)	Attrs
TransposeB (bool x)	Attrs

Structs
tensorflow:: ops:: MatMul:: Attrs	Optional attribute setters for MatMul .

Public attributes

operation

Operation operation

product

::tensorflow::Output product

Public functions

MatMul

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

MatMul

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

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

 operator::tensorflow::Input() const 

operator::tensorflow::Output

 operator::tensorflow::Output() const 

Public static functions

TransposeA

Attrs TransposeA(
  bool x
)

TransposeB

Attrs TransposeB(
  bool x
)