tensorflow:: ops:: Requantize
#include <math_ops.h>
Converts the quantized input
tensor into a lower-precision output
.
Summary
Converts the quantized input
tensor into a lower-precision output
, using the output range specified with requested_output_min
and requested_output_max
.
[input_min, input_max]
are scalar floats that specify the range for the float interpretation of the input
data. For example, if input_min
is -1.0f and input_max
is 1.0f, and we are dealing with quint16
quantized data, then a 0 value in the 16-bit data should be interpreted as -1.0f, and a 65535 means 1.0f.
Args:
- scope: A Scope object
- input_min: The float value that the minimum quantized input value represents.
- input_max: The float value that the maximum quantized input value represents.
- requested_output_min: The float value that the minimum quantized output value represents.
- requested_output_max: The float value that the maximum quantized output value represents.
- out_type: The type of the output. Should be a lower bit depth than Tinput.
Returns:
Output
outputOutput
output_min: The requested_output_min value is copied into this output.Output
output_max: The requested_output_max value is copied into this output.
Constructors and Destructors |
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Requantize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input requested_output_min, ::tensorflow::Input requested_output_max, DataType out_type)
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Public attributes |
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operation
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output
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output_max
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output_min
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Public attributes
operation
Operation operation
output
::tensorflow::Output output
output_max
::tensorflow::Output output_max
output_min
::tensorflow::Output output_min
Public functions
Requantize
Requantize( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input input_min, ::tensorflow::Input input_max, ::tensorflow::Input requested_output_min, ::tensorflow::Input requested_output_max, DataType out_type )