tensorflow::
ops::
QuantizedAdd
#include <math_ops.h>
Returns x + y element-wise, working on quantized buffers.
Summary
Args:
- scope: A Scope object
-
min_x: The float value that the lowest quantized
x
value represents. -
max_x: The float value that the highest quantized
x
value represents. -
min_y: The float value that the lowest quantized
y
value represents. -
max_y: The float value that the highest quantized
y
value represents.
Returns:
-
Output
z -
Output
min_z: The float value that the lowest quantized output value represents. -
Output
max_z: The float value that the highest quantized output value represents.
NOTE
:
QuantizedAdd
supports limited forms of broadcasting. More about broadcasting
here
Constructors and Destructors |
|
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QuantizedAdd
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
x, ::
tensorflow::Input
y, ::
tensorflow::Input
min_x, ::
tensorflow::Input
max_x, ::
tensorflow::Input
min_y, ::
tensorflow::Input
max_y)
|
|
QuantizedAdd
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
x, ::
tensorflow::Input
y, ::
tensorflow::Input
min_x, ::
tensorflow::Input
max_x, ::
tensorflow::Input
min_y, ::
tensorflow::Input
max_y, const
QuantizedAdd::Attrs
& attrs)
|
Public attributes |
|
---|---|
max_z
|
|
min_z
|
|
operation
|
|
z
|
Public static functions |
|
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Toutput
(DataType x)
|
Structs |
|
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tensorflow::
|
Optional attribute setters for QuantizedAdd . |
Public attributes
Public functions
QuantizedAdd
QuantizedAdd( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, ::tensorflow::Input min_x, ::tensorflow::Input max_x, ::tensorflow::Input min_y, ::tensorflow::Input max_y )
QuantizedAdd
QuantizedAdd( const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, ::tensorflow::Input min_x, ::tensorflow::Input max_x, ::tensorflow::Input min_y, ::tensorflow::Input max_y, const QuantizedAdd::Attrs & attrs )