tensorflow::
ops::
QuantizedMul
#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
xvalue represents. -
max_x: The float value that the highest quantized
xvalue represents. -
min_y: The float value that the lowest quantized
yvalue represents. -
max_y: The float value that the highest quantized
yvalue represents.
Returns:
-
Outputz -
Outputmin_z: The float value that the lowest quantized output value represents. -
Outputmax_z: The float value that the highest quantized output value represents.
NOTE
:
QuantizedMul
supports limited forms of broadcasting. More about broadcasting
here
Constructors and Destructors |
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QuantizedMul
(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)
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QuantizedMul
(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
QuantizedMul::Attrs
& attrs)
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Public attributes |
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max_z
|
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min_z
|
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operation
|
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z
|
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Public static functions |
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Toutput
(DataType x)
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Structs |
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tensorflow::
|
Optional attribute setters for QuantizedMul . |
Public attributes
Public functions
QuantizedMul
QuantizedMul( 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 )
QuantizedMul
QuantizedMul( 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 QuantizedMul::Attrs & attrs )