tensorflow:: ops:: QuantizedBiasAdd
#include <nn_ops.h>
Adds Tensor 'bias' to Tensor 'input' for Quantized types.
Summary
Broadcasts the values of bias on dimensions 0..N-2 of 'input'.
Arguments:
- scope: A Scope object
- bias: A 1D bias Tensor with size matching the last dimension of 'input'.
- min_input: The float value that the lowest quantized input value represents.
- max_input: The float value that the highest quantized input value represents.
- min_bias: The float value that the lowest quantized bias value represents.
- max_bias: The float value that the highest quantized bias value represents.
Returns:
Output
outputOutput
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 |
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QuantizedBiasAdd(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input bias, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_bias, ::tensorflow::Input max_bias, DataType out_type)
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Public attributes |
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max_out
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min_out
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operation
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output
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Public attributes
max_out
::tensorflow::Output max_out
min_out
::tensorflow::Output min_out
operation
Operation operation
output
::tensorflow::Output output
Public functions
QuantizedBiasAdd
QuantizedBiasAdd( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input bias, ::tensorflow::Input min_input, ::tensorflow::Input max_input, ::tensorflow::Input min_bias, ::tensorflow::Input max_bias, DataType out_type )