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
zOutput
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)
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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, const QuantizedAdd::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 QuantizedAdd. |
Public attributes
max_z
::tensorflow::Output max_z
min_z
::tensorflow::Output min_z
operation
Operation operation
z
::tensorflow::Output z
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 )
Public static functions
Toutput
Attrs Toutput( DataType x )