Classes
class	LutNetworkFixedPointRegression2Outputs

class	LutNetworkFixedPointRegressionBase

class	LutNeuronLayerFixedPoint

Functions
constexpr size_t	ceillog2 (size_t i)

constexpr size_t	floorlog2 (size_t i)

template<int W, int I>
const ap_fixed< W, I >	max_ap_fixed ()

template<int W, int I>
const ap_ufixed< W, I >	max_ap_ufixed ()

Variables
static constexpr int	input_F = 4

static constexpr int	input_I = 10

static constexpr int	layer1_lut_F = 13

static constexpr int	layer1_lut_I = 3

static constexpr int	layer1_neurons = 16

static constexpr int	layer1_output_I = 4

static constexpr int	layer2_input_I = 8

static constexpr int	layer2_lut_F = 11

static constexpr int	layer2_lut_I = 5

static constexpr int	layer2_neurons = 9

static constexpr int	layer3_0_inputCnt = 8

static constexpr int	layer3_0_lut_F = 11

static constexpr int	layer3_0_lut_I = 5

static constexpr int	layer3_1_inputCnt = 1

static constexpr int	layer3_1_lut_F = 11

static constexpr int	layer3_1_lut_I = 4

static constexpr int	layer3_input_I = 5

static constexpr std::size_t	networkInputSize = 18

static constexpr int	output0_F = 2

static constexpr int	output0_I = 8

static constexpr int	output1_F = 0

static constexpr int	output1_I = 8

Typedef Documentation

◆ LutNetworkFP

Function Documentation

◆ ceillog2()

constexpr size_t lutNN::ceillog2 ( size_t i )

Definition at line 34 of file LutNeuronLayerFixedPoint.h.

References Exception, floorlog2(), and mps_fire::i.

                                       {
     if (!(i > 0))
       throw cms::Exception("Incorrect input")
           << "Argument of ceillog2 must be grater than 0, while " << i << " used.\n";
     return i == 1 ? 0 : floorlog2(i - 1) + 1;
   }

◆ floorlog2()

constexpr size_t lutNN::floorlog2 ( size_t i )

Definition at line 28 of file LutNeuronLayerFixedPoint.h.

References Exception, and mps_fire::i.

Referenced by ceillog2().

                                        {
     if (!(i > 0))
       throw cms::Exception("Incorrect input")
           << "Argument of floorlog2 must be grater than 0, while " << i << " used.\n";
     return i == 1 ? 0 : 1 + floorlog2(i >> 1);
   }

◆ max_ap_fixed()

template<int W, int I>

const ap_fixed<W, I> lutNN::max_ap_fixed ( )

Definition at line 29 of file LutNetworkFixedPointCommon.h.

References Exhume::I, and WZElectronSkims53X_cff::max.

                                       {
     static_assert(I < 64, "this max_ap_ufixed works only for I < 64");
     return ap_fixed<W, I, AP_RND, AP_SAT>(std::numeric_limits<uint64_t>::max());
     //AP_SAT Saturate the value to the maximum value in case of overflow
   }

◆ max_ap_ufixed()

template<int W, int I>

const ap_ufixed<W, I> lutNN::max_ap_ufixed ( )

Definition at line 22 of file LutNetworkFixedPointCommon.h.

References Exhume::I, and WZElectronSkims53X_cff::max.

                                         {
     static_assert(I < 64, "this max_ap_ufixed works only for I < 64");
     return ap_ufixed<W, I, AP_RND, AP_SAT>(std::numeric_limits<uint64_t>::max());
     //AP_SAT Saturate the value to the maximum value in case of overflow
   }

Variable Documentation

◆ input_F

constexpr int lutNN::input_F = 4

static

Definition at line 25 of file PtAssignmentNNRegression.cc.

Referenced by lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::load(), lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::LutNeuronLayerFixedPoint(), and lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::save().

◆ input_I

constexpr int lutNN::input_I = 10

static

Definition at line 24 of file PtAssignmentNNRegression.cc.

Referenced by lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::load(), lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::LutNeuronLayerFixedPoint(), lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::runWithInterpolation(), and lutNN::LutNeuronLayerFixedPoint< layer2_input_I, layer2_input_F, layer1_neurons, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I >::save().

◆ layer1_lut_F

constexpr int lutNN::layer1_lut_F = 13

static

Definition at line 30 of file PtAssignmentNNRegression.cc.

◆ layer1_lut_I

constexpr int lutNN::layer1_lut_I = 3

static

Definition at line 29 of file PtAssignmentNNRegression.cc.

◆ layer1_neurons

constexpr int lutNN::layer1_neurons = 16

static

Definition at line 28 of file PtAssignmentNNRegression.cc.

Referenced by 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 >::runWithInterpolation().

◆ layer1_output_I

constexpr int lutNN::layer1_output_I = 4

static

Definition at line 32 of file PtAssignmentNNRegression.cc.

◆ layer2_input_I

constexpr int lutNN::layer2_input_I = 8

static

Definition at line 34 of file PtAssignmentNNRegression.cc.

◆ layer2_lut_F

constexpr int lutNN::layer2_lut_F = 11

static

Definition at line 38 of file PtAssignmentNNRegression.cc.

◆ layer2_lut_I

constexpr int lutNN::layer2_lut_I = 5

static

Definition at line 37 of file PtAssignmentNNRegression.cc.

◆ layer2_neurons

constexpr int lutNN::layer2_neurons = 9

static

Definition at line 36 of file PtAssignmentNNRegression.cc.

Referenced by 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 >::LutNetworkFixedPointRegression2Outputs().

◆ layer3_0_inputCnt

constexpr int lutNN::layer3_0_inputCnt = 8

static

Definition at line 42 of file PtAssignmentNNRegression.cc.

Referenced by 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 >::LutNetworkFixedPointRegression2Outputs().

◆ layer3_0_lut_F

constexpr int lutNN::layer3_0_lut_F = 11

static

Definition at line 44 of file PtAssignmentNNRegression.cc.

◆ layer3_0_lut_I

constexpr int lutNN::layer3_0_lut_I = 5

static

Definition at line 43 of file PtAssignmentNNRegression.cc.

◆ layer3_1_inputCnt

constexpr int lutNN::layer3_1_inputCnt = 1

static

Definition at line 48 of file PtAssignmentNNRegression.cc.

Referenced by 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 >::LutNetworkFixedPointRegression2Outputs().

◆ layer3_1_lut_F

constexpr int lutNN::layer3_1_lut_F = 11

static

Definition at line 50 of file PtAssignmentNNRegression.cc.

◆ layer3_1_lut_I

constexpr int lutNN::layer3_1_lut_I = 4

static

Definition at line 49 of file PtAssignmentNNRegression.cc.

◆ layer3_input_I

constexpr int lutNN::layer3_input_I = 5

static

Definition at line 40 of file PtAssignmentNNRegression.cc.

◆ networkInputSize

constexpr std::size_t lutNN::networkInputSize = 18

static

Definition at line 26 of file PtAssignmentNNRegression.cc.

◆ output0_F

constexpr int lutNN::output0_F = 2

static

Definition at line 46 of file PtAssignmentNNRegression.cc.

Referenced by 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 >::getCalibratedHwPt(), 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(), 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().

◆ output0_I

constexpr int lutNN::output0_I = 8

static

Definition at line 45 of file PtAssignmentNNRegression.cc.

Referenced by 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(), 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().

◆ output1_F

constexpr int lutNN::output1_F = 0

static

Definition at line 52 of file PtAssignmentNNRegression.cc.

Referenced by 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(), 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().

◆ output1_I

constexpr int lutNN::output1_I = 8

static

Definition at line 51 of file PtAssignmentNNRegression.cc.

Referenced by 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(), 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().

Typedefs
typedef LutNetworkFixedPointRegression2Outputs< input_I, input_F, networkInputSize, 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 >	LutNetworkFP

Classes

Typedefs

Functions

Variables

Typedef Documentation

◆ LutNetworkFP

Function Documentation

◆ ceillog2()

◆ floorlog2()

◆ max_ap_fixed()

◆ max_ap_ufixed()

Variable Documentation

◆ input_F

◆ input_I

◆ layer1_lut_F

◆ layer1_lut_I

◆ layer1_neurons

◆ layer1_output_I

◆ layer2_input_I

◆ layer2_lut_F

◆ layer2_lut_I

◆ layer2_neurons

◆ layer3_0_inputCnt

◆ layer3_0_lut_F

◆ layer3_0_lut_I

◆ layer3_1_inputCnt

◆ layer3_1_lut_F

◆ layer3_1_lut_I

◆ layer3_input_I

◆ networkInputSize

◆ output0_F

◆ output0_I

◆ output1_F

◆ output1_I