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// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#include "HDynamicCNNManyIP.h"
#include <omp.h>
#include <stdio.h>
#include <string.h>
#include <algorithm>
#include <cassert>
#include <iostream>
#include <vector>
HDynamicCNNManyIP::HDynamicCNNManyIP(){
};
HDynamicCNNManyIP::~HDynamicCNNManyIP(){
};
bool HDynamicCNNManyIP::update(
int64_t np_h_pointer_addr, int64_t np_h_dim_0, int64_t np_h_dim_1,
int64_t np_h_dim_2, int64_t np_h_dim_3, int64_t np_epsilon_xy_pointer_addr,
int64_t np_epsilon_xy_dim_0, int64_t np_epsilon_xy_dim_1,
int64_t np_epsilon_xy_dim_2, int64_t np_epsilon_t_pointer_addr,
int64_t np_epsilon_t_dim_0, int64_t np_weights_pointer_addr,
int64_t np_weights_dim_0, int64_t np_weights_dim_1,
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
float *np_init_vector_pointer_ptr, int64_t np_init_vector_dim_0,
int64_t id_pattern) {
float *np_h_pointer = (float *)np_h_pointer_addr;
float *np_epsilon_xy_pointer = (float *)np_epsilon_xy_pointer_addr;
float *np_epsilon_t_pointer = (float *)np_epsilon_t_pointer_addr;
float *np_weights_pointer = (float *)np_weights_pointer_addr;
int64_t *np_input_pointer = (int64_t *)np_input_pointer_addr;
int64_t number_of_pattern = np_input_dim_0;
assert((id_pattern >= 0));
assert((id_pattern < number_of_pattern));
assert((np_h_pointer != nullptr));
assert((np_h_dim_0 > 0));
assert((np_h_dim_1 > 0));
assert((np_h_dim_2 > 0));
assert((np_h_dim_3 > 0));
int64_t np_h_dim_c0 = np_h_dim_1 * np_h_dim_2 * np_h_dim_3;
int64_t np_h_dim_c1 = np_h_dim_2 * np_h_dim_3;
int64_t np_h_dim_c2 = np_h_dim_3;
float *np_h_pointer_pattern;
float *np_h_pointer_pattern_0;
float *np_h_pointer_pattern_01;
assert((np_epsilon_xy_pointer != nullptr));
assert((np_epsilon_xy_dim_0 > 0));
assert((np_epsilon_xy_dim_1 > 0));
int64_t np_epsilon_xy_dim_c0 = np_epsilon_xy_dim_2 * np_epsilon_xy_dim_1;
int64_t np_epsilon_xy_dim_c1 = np_epsilon_xy_dim_2;
float *np_epsilon_xy_pointer_0;
float *np_epsilon_xy_pointer_01;
assert((np_epsilon_t_pointer != nullptr));
assert((np_epsilon_t_dim_0 > 0));
assert((np_weights_pointer != nullptr));
assert((np_weights_dim_0 > 0));
assert((np_weights_dim_1 > 0));
int64_t np_weights_dim_c0 = np_weights_dim_1;
float *w_ptr;
assert((np_input_pointer != nullptr));
assert((np_input_dim_0 > 0));
assert((np_input_dim_1 > 0));
assert((np_input_dim_2 > 0));
assert((np_input_dim_3 > 0));
int64_t np_input_dim_c0 = np_input_dim_1 * np_input_dim_2 * np_input_dim_3;
int64_t np_input_dim_c1 = np_input_dim_2 * np_input_dim_3;
int64_t np_input_dim_c2 = np_input_dim_3;
int64_t *np_input_pointer_pattern;
int64_t *np_input_pointer_pattern_0;
int64_t *np_input_pointer_pattern_01;
int64_t *np_input_pointer_pattern_01_spike;
assert((np_init_vector_pointer_ptr != nullptr));
assert((np_init_vector_dim_0 == np_weights_dim_1));
int64_t number_of_spikes = np_input_dim_1;
int64_t h_dim = np_weights_dim_1;
std::vector<float> h_temp_vector;
h_temp_vector.resize(h_dim);
float *h_temp = h_temp_vector.data();
std::vector<float> h_subsegment_vector;
h_subsegment_vector.resize(h_dim);
float *h_subsegment = h_subsegment_vector.data();
float h_temp_sum;
int64_t id_0;
int64_t id_1;
int64_t id_spike;
int64_t counter;
float temp_value;
float epsilon_scale;
float epsilon_subsegment;
// epsilon_subsegment = np_epsilon_xy_pointer[
// id_0 * np_epsilon_xy_dim_c0 +
// id_1 ]
// * np_epsilon_t_pointer[id_spike];
// spike = np_input_pointer[
// id_pattern * np_input_dim_c0 +
// id_spike * np_input_dim_c1 +
// id_0 * np_input_dim_c2 +
// id_1];
// w_ptr = np_weights_pointer +
// spike * np_weights_dim_c0;
// h_ptr = np_h_pointer +
// id_pattern * np_h_dim_c0 +
// id_0 * np_h_dim_c2 +
// id_1;
// // 0 * np_h_dim_c1 +
np_input_pointer_pattern = np_input_pointer + id_pattern * np_input_dim_c0;
np_h_pointer_pattern = np_h_pointer + id_pattern * np_h_dim_c0;
for (id_0 = 0; id_0 < np_input_dim_2; id_0++) {
np_epsilon_xy_pointer_0 =
np_epsilon_xy_pointer + id_0 * np_epsilon_xy_dim_c1;
np_h_pointer_pattern_0 = np_h_pointer_pattern + id_0 * np_h_dim_c2;
np_input_pointer_pattern_0 =
np_input_pointer_pattern + id_0 * np_input_dim_c2;
for (id_1 = 0; id_1 < np_input_dim_3; id_1++) {
np_epsilon_xy_pointer_01 = np_epsilon_xy_pointer_0 + id_1;
np_h_pointer_pattern_01 = np_h_pointer_pattern_0 + id_1;
np_input_pointer_pattern_01 = np_input_pointer_pattern_0 + id_1;
memcpy(h_subsegment, np_init_vector_pointer_ptr, sizeof(float) * h_dim);
epsilon_scale = 1.0;
for (id_spike = 0; id_spike < number_of_spikes; id_spike++) {
if (epsilon_scale > 1E10) {
temp_value = 1.0 / epsilon_scale;
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
h_subsegment[counter] *= temp_value;
}
epsilon_scale = 1.0;
}
np_input_pointer_pattern_01_spike =
np_input_pointer_pattern_01 + id_spike * np_input_dim_c1;
epsilon_subsegment =
np_epsilon_xy_pointer_01[np_input_pointer_pattern_01_spike[0] *
np_epsilon_xy_dim_c0] *
np_epsilon_t_pointer[id_spike];
w_ptr = np_weights_pointer +
np_input_pointer_pattern_01_spike[0] * np_weights_dim_c0;
memcpy(h_temp, h_subsegment, sizeof(float) * h_dim);
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
h_temp[counter] *= w_ptr[counter];
}
h_temp_sum = 0.0;
#pragma omp simd reduction(+ : h_temp_sum)
for (counter = 0; counter < h_dim; counter++) {
h_temp_sum += h_temp[counter];
}
if (h_temp_sum > 1E-10) {
temp_value = epsilon_scale * epsilon_subsegment / h_temp_sum;
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
h_temp[counter] *= temp_value;
}
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
h_subsegment[counter] += h_temp[counter];
}
epsilon_scale *= 1.0 + epsilon_subsegment;
// IF
}
// spike End
}
temp_value = 1.0 / epsilon_scale;
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
np_h_pointer_pattern_01[counter * np_h_dim_c1] =
h_subsegment[counter] * temp_value;
}
// id_1 End
}
// id_0 End
}
return true;
};
bool HDynamicCNNManyIP::update_with_init_vector_multi_pattern(
int64_t np_h_pointer_addr, int64_t np_h_dim_0, int64_t np_h_dim_1,
int64_t np_h_dim_2, int64_t np_h_dim_3, int64_t np_epsilon_xy_pointer_addr,
int64_t np_epsilon_xy_dim_0, int64_t np_epsilon_xy_dim_1,
int64_t np_epsilon_xy_dim_2, int64_t np_epsilon_t_pointer_addr,
int64_t np_epsilon_t_dim_0, int64_t np_weights_pointer_addr,
int64_t np_weights_dim_0, int64_t np_weights_dim_1,
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
int64_t np_init_vector_pointer_addr, int64_t np_init_vector_dim_0,
int64_t number_of_processes) {
int64_t number_of_pattern = np_input_dim_0;
int64_t pattern_id;
int64_t h_dim = np_init_vector_dim_0;
float *h_init_ptr = (float *)np_init_vector_pointer_addr;
omp_set_num_threads(number_of_processes);
#pragma omp parallel for
for (pattern_id = 0; pattern_id < number_of_pattern; pattern_id++) {
update(np_h_pointer_addr, np_h_dim_0, np_h_dim_1, np_h_dim_2, np_h_dim_3,
np_epsilon_xy_pointer_addr, np_epsilon_xy_dim_0, np_epsilon_xy_dim_1,
np_epsilon_xy_dim_2, np_epsilon_t_pointer_addr, np_epsilon_t_dim_0,
np_weights_pointer_addr, np_weights_dim_0, np_weights_dim_1,
np_input_pointer_addr, np_input_dim_0, np_input_dim_1,
np_input_dim_2, np_input_dim_3, h_init_ptr, h_dim, pattern_id);
}
return true;
};

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// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#ifndef SRC_HDYNAMICCNNMANYIP_H_
#define SRC_HDYNAMICCNNMANYIP_H_
#include <unistd.h>
#include <cctype>
#include <iostream>
class HDynamicCNNManyIP {
public:
HDynamicCNNManyIP();
~HDynamicCNNManyIP();
bool update(int64_t np_h_pointer_addr, int64_t np_h_dim_0, int64_t np_h_dim_1,
int64_t np_h_dim_2, int64_t np_h_dim_3,
int64_t np_epsilon_xy_pointer_addr, int64_t np_epsilon_xy_dim_0,
int64_t np_epsilon_xy_dim_1, int64_t np_epsilon_xy_dim_2,
int64_t np_epsilon_t_pointer_addr, int64_t np_epsilon_t_dim_0,
int64_t np_weights_pointer_addr, int64_t np_weights_dim_0,
int64_t np_weights_dim_1, int64_t np_input_pointer_addr,
int64_t np_input_dim_0, int64_t np_input_dim_1,
int64_t np_input_dim_2, int64_t np_input_dim_3,
float *np_init_vector_pointer_ptr, int64_t np_init_vector_dim_0,
int64_t id_pattern);
bool update_with_init_vector_multi_pattern(
int64_t np_h_pointer_addr, int64_t np_h_dim_0, int64_t np_h_dim_1,
int64_t np_h_dim_2, int64_t np_h_dim_3,
int64_t np_epsilon_xy_pointer_addr, int64_t np_epsilon_xy_dim_0,
int64_t np_epsilon_xy_dim_1, int64_t np_epsilon_xy_dim_2,
int64_t np_epsilon_t_pointer_addr, int64_t np_epsilon_t_dim_0,
int64_t np_weights_pointer_addr, int64_t np_weights_dim_0,
int64_t np_weights_dim_1, int64_t np_input_pointer_addr,
int64_t np_input_dim_0, int64_t np_input_dim_1, int64_t np_input_dim_2,
int64_t np_input_dim_3, int64_t np_init_vector_pointer_addr,
int64_t np_init_vector_dim_0, int64_t number_of_processes);
private:
};
#endif /* SRC_HDYNAMICCNNMANYIP_H_ */

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# MIT License
# Copyright 2022 University of Bremen
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
# THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
#
# David Rotermund ( davrot@uni-bremen.de )
#
#
# Release history:
# ================
# 1.0.0 -- 01.05.2022: first release
#
#
# Change to your python bin directory (tested with Python 3.10.4)
PYBIN=~/P3.10/bin/
COMPILER=clang++
PYBIND11INCLUDE=`$(PYBIN)python3 -m pybind11 --includes`
PARAMETERS= -O3 -std=c++14 -fPIC $(PYBIND11INCLUDE) -Wall -fopenmp=libomp
all: PyHDynamicCNNManyIP \
PySpikeGeneration2DManyIP \
#######################
HDynamicCNNManyIP.o: HDynamicCNNManyIP.h HDynamicCNNManyIP.cpp
$(COMPILER) $(PARAMETERS) -c HDynamicCNNManyIP.cpp -o HDynamicCNNManyIP.o
PyHDynamicCNNManyIP.o: HDynamicCNNManyIP.h PyHDynamicCNNManyIP.cpp
$(COMPILER) $(PARAMETERS) -c PyHDynamicCNNManyIP.cpp -o PyHDynamicCNNManyIP.o
PyHDynamicCNNManyIP: HDynamicCNNManyIP.o PyHDynamicCNNManyIP.o
$(COMPILER) -shared -o PyHDynamicCNNManyIP HDynamicCNNManyIP.o PyHDynamicCNNManyIP.o -lm -lomp -lstdc++ -Wall
cp PyHDynamicCNNManyIP ../PyHDynamicCNNManyIP`$(PYBIN)python3-config --extension-suffix`
#######################
SpikeGeneration2DManyIP.o: SpikeGeneration2DManyIP.h SpikeGeneration2DManyIP.cpp
$(COMPILER) $(PARAMETERS) -c SpikeGeneration2DManyIP.cpp -o SpikeGeneration2DManyIP.o
PySpikeGeneration2DManyIP.o: SpikeGeneration2DManyIP.h PySpikeGeneration2DManyIP.cpp
$(COMPILER) $(PARAMETERS) -c PySpikeGeneration2DManyIP.cpp -o PySpikeGeneration2DManyIP.o
PySpikeGeneration2DManyIP: SpikeGeneration2DManyIP.o PySpikeGeneration2DManyIP.o
$(COMPILER) -shared -o PySpikeGeneration2DManyIP SpikeGeneration2DManyIP.o PySpikeGeneration2DManyIP.o -lm -lomp -lstdc++ -Wall
cp PySpikeGeneration2DManyIP ../PySpikeGeneration2DManyIP`$(PYBIN)python3-config --extension-suffix`
#######################
clean:
rm -f PyHDynamicCNNManyIP
rm -f PySpikeGeneration2DManyIP
rm -f *.o

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// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#include <pybind11/pybind11.h>
#include "HDynamicCNNManyIP.h"
namespace py = pybind11;
PYBIND11_MODULE(PyHDynamicCNNManyIP, m) {
m.doc() = "HDynamicCNNManyIP Module";
py::class_<HDynamicCNNManyIP>(m, "HDynamicCNNManyIP")
.def(py::init<>())
.def("update_with_init_vector_multi_pattern",
&HDynamicCNNManyIP::update_with_init_vector_multi_pattern);
}

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// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#include <pybind11/pybind11.h>
#include "SpikeGeneration2DManyIP.h"
namespace py = pybind11;
PYBIND11_MODULE(PySpikeGeneration2DManyIP, m) {
m.doc() = "SpikeGeneration2DManyIP Module";
py::class_<SpikeGeneration2DManyIP>(m, "SpikeGeneration2DManyIP")
.def(py::init<>())
.def("spike_generation_multi_pattern",
&SpikeGeneration2DManyIP::spike_generation_multi_pattern);
}

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// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#include "SpikeGeneration2DManyIP.h"
#include <omp.h>
#include <stdio.h>
#include <string.h>
#include <algorithm>
#include <cassert>
#include <iostream>
#include <vector>
SpikeGeneration2DManyIP::SpikeGeneration2DManyIP(){
};
SpikeGeneration2DManyIP::~SpikeGeneration2DManyIP(){
};
bool SpikeGeneration2DManyIP::spike_generation_multi_pattern(
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
int64_t np_random_values_pointer_addr, int64_t np_random_values_dim_0,
int64_t np_random_values_dim_1, int64_t np_random_values_dim_2,
int64_t np_random_values_dim_3, int64_t np_output_pointer_addr,
int64_t np_output_dim_0, int64_t np_output_dim_1, int64_t np_output_dim_2,
int64_t np_output_dim_3, int64_t number_of_cpu_processes) {
int64_t number_of_pattern = np_input_dim_0;
int64_t pattern_id;
omp_set_num_threads(number_of_cpu_processes);
#pragma omp parallel for
for (pattern_id = 0; pattern_id < number_of_pattern; pattern_id++) {
spike_generation(
np_input_pointer_addr, np_input_dim_0, np_input_dim_1, np_input_dim_2,
np_input_dim_3, np_random_values_pointer_addr, np_random_values_dim_0,
np_random_values_dim_1, np_random_values_dim_2, np_random_values_dim_3,
np_output_pointer_addr, np_output_dim_0, np_output_dim_1,
np_output_dim_2, np_output_dim_3, pattern_id);
}
return true;
};
bool SpikeGeneration2DManyIP::spike_generation(
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
int64_t np_random_values_pointer_addr, int64_t np_random_values_dim_0,
int64_t np_random_values_dim_1, int64_t np_random_values_dim_2,
int64_t np_random_values_dim_3, int64_t np_output_pointer_addr,
int64_t np_output_dim_0, int64_t np_output_dim_1, int64_t np_output_dim_2,
int64_t np_output_dim_3, int64_t id_pattern) {
float *np_input_pointer = (float *)np_input_pointer_addr;
float *np_random_values_pointer = (float *)np_random_values_pointer_addr;
int64_t *np_output_pointer = (int64_t *)np_output_pointer_addr;
assert((id_pattern >= 0));
assert((id_pattern < np_input_dim_0));
// Input
assert((np_input_pointer != nullptr));
assert((np_input_dim_0 > 0));
assert((np_input_dim_1 > 0));
assert((np_input_dim_2 > 0));
assert((np_input_dim_3 > 0));
int64_t np_input_dim_c0 = np_input_dim_1 * np_input_dim_2 * np_input_dim_3;
int64_t np_input_dim_c1 = np_input_dim_2 * np_input_dim_3;
int64_t np_input_dim_c2 = np_input_dim_3;
// Random
assert((np_random_values_pointer != nullptr));
assert((np_random_values_dim_0 > 0));
assert((np_random_values_dim_1 > 0));
assert((np_random_values_dim_2 > 0));
assert((np_random_values_dim_3 > 0));
int64_t np_random_values_dim_c0 =
np_random_values_dim_1 * np_random_values_dim_2 * np_random_values_dim_3;
int64_t np_random_values_dim_c1 =
np_random_values_dim_2 * np_random_values_dim_3;
int64_t np_random_values_dim_c2 = np_random_values_dim_3;
// Output
assert((np_output_pointer != nullptr));
assert((np_output_dim_0 > 0));
assert((np_output_dim_1 > 0));
assert((np_output_dim_2 > 0));
assert((np_output_dim_3 > 0));
int64_t np_output_dim_c0 =
np_output_dim_1 * np_output_dim_2 * np_output_dim_3;
int64_t np_output_dim_c1 = np_output_dim_2 * np_output_dim_3;
int64_t np_output_dim_c2 = np_output_dim_3;
// -------------------------------
int64_t h_dim = np_input_dim_1;
int64_t spike_dim = np_output_dim_1;
std::vector<float> temp_p;
temp_p.resize(h_dim);
float *temp_p_ptr = temp_p.data();
std::vector<int64_t> temp_out;
temp_out.resize(spike_dim);
int64_t *temp_out_ptr = temp_out.data();
std::vector<float> temp_rand;
temp_rand.resize(spike_dim);
float *temp_rand_ptr = temp_rand.data();
int64_t counter;
int64_t counter_x = 0;
int64_t counter_y = 0;
float *p_ptr = nullptr;
int64_t *out_ptr = nullptr;
float *rand_ptr = nullptr;
std::vector<float>::iterator position_iterator;
for (counter_x = 0; counter_x < np_output_dim_2; counter_x++) {
for (counter_y = 0; counter_y < np_output_dim_3; counter_y++) {
p_ptr = np_input_pointer + id_pattern * np_input_dim_c0 +
counter_x * np_input_dim_c2 + counter_y;
// + counter * np_input_dim_c1
out_ptr = np_output_pointer + id_pattern * np_output_dim_c0 +
counter_x * np_output_dim_c2 + counter_y;
// + counter * np_output_dim_c1
rand_ptr = np_random_values_pointer +
id_pattern * np_random_values_dim_c0 +
counter_x * np_random_values_dim_c2 + counter_y;
// + counter * np_random_values_dim_c1
#pragma omp simd
for (counter = 0; counter < h_dim; counter++) {
temp_p_ptr[counter] = p_ptr[counter * np_input_dim_c1];
}
#pragma omp simd
for (counter = 0; counter < spike_dim; counter++) {
temp_rand_ptr[counter] = rand_ptr[counter * np_random_values_dim_c1];
}
// ----------------------------
for (counter = 0; counter < spike_dim; counter++) {
position_iterator = std::lower_bound(temp_p.begin(), temp_p.end(),
temp_rand_ptr[counter]);
temp_out_ptr[counter] = position_iterator - temp_p.begin();
}
// ----------------------------
#pragma omp simd
for (counter = 0; counter < spike_dim; counter++) {
out_ptr[counter * np_output_dim_c1] = temp_out_ptr[counter];
}
}
}
return true;
};

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@ -1,66 +0,0 @@
// MIT License
// Copyright 2022 University of Bremen
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the "Software"),
// to deal in the Software without restriction, including without limitation
// the rights to use, copy, modify, merge, publish, distribute, sublicense,
// and/or sell copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included
// in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
// IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR
// THE USE OR OTHER DEALINGS IN THE SOFTWARE.
//
//
// David Rotermund ( davrot@uni-bremen.de )
//
//
// Release history:
// ================
// 1.0.0 -- 01.05.2022: first release
//
//
#ifndef SRC_SPIKEGENERATION2DMANYIP_H_
#define SRC_SPIKEGENERATION2DMANYIP_H_
#include <unistd.h>
#include <cctype>
#include <iostream>
class SpikeGeneration2DManyIP {
public:
SpikeGeneration2DManyIP();
~SpikeGeneration2DManyIP();
bool spike_generation_multi_pattern(
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
int64_t np_random_values_pointer_addr, int64_t np_random_values_dim_0,
int64_t np_random_values_dim_1, int64_t np_random_values_dim_2,
int64_t np_random_values_dim_3, int64_t np_output_pointer_addr,
int64_t np_output_dim_0, int64_t np_output_dim_1, int64_t np_output_dim_2,
int64_t np_output_dim_3, int64_t number_of_cpu_processes);
bool spike_generation(
int64_t np_input_pointer_addr, int64_t np_input_dim_0,
int64_t np_input_dim_1, int64_t np_input_dim_2, int64_t np_input_dim_3,
int64_t np_random_values_pointer_addr, int64_t np_random_values_dim_0,
int64_t np_random_values_dim_1, int64_t np_random_values_dim_2,
int64_t np_random_values_dim_3, int64_t np_output_pointer_addr,
int64_t np_output_dim_0, int64_t np_output_dim_1, int64_t np_output_dim_2,
int64_t np_output_dim_3, int64_t id_pattern);
private:
};
#endif /* SRC_SPIKEGENERATION2DMANYIP_H_ */

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@ -1,27 +0,0 @@
# Derived from code by Aaron.Ma
# which was posted here:
# https://blog.csdn.net/sinat_40922660/article/details/123850832
# %%
# pip install pybind11-stubgen
from pybind11_stubgen import ModuleStubsGenerator # type: ignore
import glob
def process(module_name: str) -> None:
module = ModuleStubsGenerator(module_name)
module.parse()
module.write_setup_py = False
with open(module_name + ".pyi", "w") as fp:
fp.write("#\n# AUTOMATICALLY GENERATED FILE, DO NOT EDIT!\n#\n\n")
fp.write("\n".join(module.to_lines()))
Files = glob.glob("*.so")
for fid in Files:
Idx: int = fid.find(".")
module_name: str = fid[:Idx]
print("Processing: " + module_name)
process(module_name)