LutNetworkFixedPointCommon.h File Reference

#include <ap_fixed.h>
#include <ap_int.h>
#include <array>
#include <vector>
#include <limits>
#include <boost/property_tree/ptree.hpp>

Go to the source code of this file.

Classes
class	lutNN::LutNetworkFixedPointRegressionBase

Namespaces
	lutNN

Macros
#define	CHECK_VAR(tree, keyPath, var)
#define	PUT_VAR(tree, keyPath, var)   tree.put((keyPath) + "." + #var, (var));

Functions
template<int W, int I>
const ap_fixed< W, I >	lutNN::max_ap_fixed ()
template<int W, int I>
const ap_ufixed< W, I >	lutNN::max_ap_ufixed ()

Macro Definition Documentation

CHECK_VAR

#define CHECK_VAR	(		tree,
			keyPath,
			var
	)

Value:

if ((var) != tree.get<int>((keyPath) + "." + #var)) \
    throw std::runtime_error((keyPath) + "." + #var + " has different value in the file then given");

Definition at line 37 of file LutNetworkFixedPointCommon.h.

Referenced by lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::load(), and lutNN::LutNetworkFixedPointRegression2Outputs< input_I, input_F, inputSize, layer1_lut_I, layer1_lut_F, layer1_neurons, layer1_output_I, layer2_input_I, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I, layer3_0_inputCnt, layer3_0_lut_I, layer3_0_lut_F, output0_I, output0_F, layer3_1_inputCnt, layer3_1_lut_I, layer3_1_lut_F, output1_I, output1_F >::load().

PUT_VAR

#define PUT_VAR	(		tree,
			keyPath,
			var
	)		tree.put((keyPath) + "." + #var, (var));

Definition at line 35 of file LutNetworkFixedPointCommon.h.

Referenced by lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::save(), and lutNN::LutNetworkFixedPointRegression2Outputs< input_I, input_F, inputSize, layer1_lut_I, layer1_lut_F, layer1_neurons, layer1_output_I, layer2_input_I, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I, layer3_0_inputCnt, layer3_0_lut_I, layer3_0_lut_F, output0_I, output0_F, layer3_1_inputCnt, layer3_1_lut_I, layer3_1_lut_F, output1_I, output1_F >::save().