tensorflow::ops::QuantizedMatMul

#include <math_ops.h>

Perform a quantized matrix multiplication of 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 non-zero) must match the outer dimension of b (after being transposed if transposed_b is non-zero).

Args:

  • scope: A Scope object
  • a: Must be a two-dimensional tensor.
  • b: Must be a two-dimensional tensor.
  • min_a: The float value that the lowest quantized a value represents.
  • max_a: The float value that the highest quantized a value represents.
  • min_b: The float value that the lowest quantized b value represents.
  • max_b: The float value that the highest quantized b value represents.

Optional attributes (see Attrs):

  • transpose_a: If true, a is transposed before multiplication.
  • transpose_b: If true, b is transposed before multiplication.
  • Tactivation: The type of output produced by activation function following this operation.

Returns:

  • Output out
  • Output min_out: The float value that the lowest quantized output value represents.
  • Output max_out: The float value that the highest quantized output value represents.

Constructors and Destructors
QuantizedMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input min_a, ::tensorflow::Input max_a, ::tensorflow::Input min_b, ::tensorflow::Input max_b)
QuantizedMatMul(const ::tensorflow::Scope & scope, ::tensorflow::Input a, ::tensorflow::Input b, ::tensorflow::Input min_a, ::tensorflow::Input max_a, ::tensorflow::Input min_b, ::tensorflow::Input max_b, const QuantizedMatMul::Attrs & attrs)

Public attributes
max_out
min_out
operation
out

Public static functions
Tactivation(DataType x)
Toutput(DataType x)
TransposeA(bool x)
TransposeB(bool x)

Structs
tensorflow::ops::QuantizedMatMul::Attrs

Optional attribute setters for QuantizedMatMul.

Public attributes

max_out

::tensorflow::Output max_out

min_out

::tensorflow::Output min_out

operation

Operation operation

out

::tensorflow::Output out

Public functions

QuantizedMatMul

 QuantizedMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  ::tensorflow::Input min_a,
  ::tensorflow::Input max_a,
  ::tensorflow::Input min_b,
  ::tensorflow::Input max_b
)

QuantizedMatMul

 QuantizedMatMul(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input a,
  ::tensorflow::Input b,
  ::tensorflow::Input min_a,
  ::tensorflow::Input max_a,
  ::tensorflow::Input min_b,
  ::tensorflow::Input max_b,
  const QuantizedMatMul::Attrs & attrs
)

Public static functions

Tactivation

Attrs Tactivation(
  DataType x
)

Toutput

Attrs Toutput(
  DataType x
)

TransposeA

Attrs TransposeA(
  bool x
)

TransposeB

Attrs TransposeB(
  bool x
)