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References for 'BlueBrain/nmodl#1444'.
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362 changes: 362 additions & 0 deletions net_receive/coreneuron/for_netcons_syn.cpp
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/*********************************************************
Model Name : ForNetconsSyn
Filename : for_netcons_syn.mod
NMODL Version : 7.7.0
Vectorized : true
Threadsafe : true
Created : DATE
Simulator : CoreNEURON
Backend : C++ (api-compatibility)
NMODL Compiler : VERSION
*********************************************************/

#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#include <coreneuron/gpu/nrn_acc_manager.hpp>
#include <coreneuron/mechanism/mech/mod2c_core_thread.hpp>
#include <coreneuron/mechanism/register_mech.hpp>
#include <coreneuron/nrnconf.h>
#include <coreneuron/nrniv/nrniv_decl.h>
#include <coreneuron/sim/multicore.hpp>
#include <coreneuron/sim/scopmath/newton_thread.hpp>
#include <coreneuron/utils/ivocvect.hpp>
#include <coreneuron/utils/nrnoc_aux.hpp>
#include <coreneuron/utils/randoms/nrnran123.h>


namespace coreneuron {
#ifndef NRN_PRCELLSTATE
#define NRN_PRCELLSTATE 0
#endif


/** channel information */
static const char *mechanism_info[] = {
"7.7.0",
"ForNetconsSyn",
0,
"a0",
0,
0,
0
};


/** all global variables */
struct ForNetconsSyn_Store {
int point_type{};
int reset{};
int mech_type{};
};
static_assert(std::is_trivially_copy_constructible_v<ForNetconsSyn_Store>);
static_assert(std::is_trivially_move_constructible_v<ForNetconsSyn_Store>);
static_assert(std::is_trivially_copy_assignable_v<ForNetconsSyn_Store>);
static_assert(std::is_trivially_move_assignable_v<ForNetconsSyn_Store>);
static_assert(std::is_trivially_destructible_v<ForNetconsSyn_Store>);
ForNetconsSyn_Store ForNetconsSyn_global;


/** all mechanism instance variables and global variables */
struct ForNetconsSyn_Instance {
double* a0{};
double* v_unused{};
double* tsave{};
const double* node_area{};
const int* point_process{};
int* fornetcon_data{};
ForNetconsSyn_Store* global{&ForNetconsSyn_global};
};


/** connect global (scalar) variables to hoc -- */
static DoubScal hoc_scalar_double[] = {
{nullptr, nullptr}
};


/** connect global (array) variables to hoc -- */
static DoubVec hoc_vector_double[] = {
{nullptr, nullptr, 0}
};


static inline int first_pointer_var_index() {
return -1;
}


static inline int first_random_var_index() {
return -1;
}


static inline int num_net_receive_args() {
return 2;
}


static inline int float_variables_size() {
return 3;
}


static inline int int_variables_size() {
return 3;
}


static inline int get_mech_type() {
return ForNetconsSyn_global.mech_type;
}


static inline Memb_list* get_memb_list(NrnThread* nt) {
if (!nt->_ml_list) {
return nullptr;
}
return nt->_ml_list[get_mech_type()];
}


static inline void* mem_alloc(size_t num, size_t size, size_t alignment = 64) {
size_t aligned_size = ((num*size + alignment - 1) / alignment) * alignment;
void* ptr = aligned_alloc(alignment, aligned_size);
memset(ptr, 0, aligned_size);
return ptr;
}


static inline void mem_free(void* ptr) {
free(ptr);
}


static inline void coreneuron_abort() {
abort();
}

// Allocate instance structure
static void nrn_private_constructor_ForNetconsSyn(NrnThread* nt, Memb_list* ml, int type) {
assert(!ml->instance);
assert(!ml->global_variables);
assert(ml->global_variables_size == 0);
auto* const inst = new ForNetconsSyn_Instance{};
assert(inst->global == &ForNetconsSyn_global);
ml->instance = inst;
ml->global_variables = inst->global;
ml->global_variables_size = sizeof(ForNetconsSyn_Store);
}

// Deallocate the instance structure
static void nrn_private_destructor_ForNetconsSyn(NrnThread* nt, Memb_list* ml, int type) {
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);
assert(inst);
assert(inst->global);
assert(inst->global == &ForNetconsSyn_global);
assert(inst->global == ml->global_variables);
assert(ml->global_variables_size == sizeof(ForNetconsSyn_Store));
delete inst;
ml->instance = nullptr;
ml->global_variables = nullptr;
ml->global_variables_size = 0;
}

/** initialize mechanism instance variables */
static inline void setup_instance(NrnThread* nt, Memb_list* ml) {
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);
assert(inst);
assert(inst->global);
assert(inst->global == &ForNetconsSyn_global);
assert(inst->global == ml->global_variables);
assert(ml->global_variables_size == sizeof(ForNetconsSyn_Store));
int pnodecount = ml->_nodecount_padded;
Datum* indexes = ml->pdata;
inst->a0 = ml->data+0*pnodecount;
inst->v_unused = ml->data+1*pnodecount;
inst->tsave = ml->data+2*pnodecount;
inst->node_area = nt->_data;
inst->point_process = ml->pdata;
inst->fornetcon_data = ml->pdata;
}



static void nrn_alloc_ForNetconsSyn(double* data, Datum* indexes, int type) {
// do nothing
}


void nrn_constructor_ForNetconsSyn(NrnThread* nt, Memb_list* ml, int type) {
#ifndef CORENEURON_BUILD
int nodecount = ml->nodecount;
int pnodecount = ml->_nodecount_padded;
const int* node_index = ml->nodeindices;
double* data = ml->data;
const double* voltage = nt->_actual_v;
Datum* indexes = ml->pdata;
ThreadDatum* thread = ml->_thread;
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);

#endif
}


void nrn_destructor_ForNetconsSyn(NrnThread* nt, Memb_list* ml, int type) {
#ifndef CORENEURON_BUILD
int nodecount = ml->nodecount;
int pnodecount = ml->_nodecount_padded;
const int* node_index = ml->nodeindices;
double* data = ml->data;
const double* voltage = nt->_actual_v;
Datum* indexes = ml->pdata;
ThreadDatum* thread = ml->_thread;
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);

#endif
}


/** initialize block for net receive */
static void net_init(Point_process* pnt, int weight_index, double flag) {
int tid = pnt->_tid;
int id = pnt->_i_instance;
double v = 0;
NrnThread* nt = nrn_threads + tid;
Memb_list* ml = nt->_ml_list[pnt->_type];
int nodecount = ml->nodecount;
int pnodecount = ml->_nodecount_padded;
double* data = ml->data;
double* weights = nt->weights;
Datum* indexes = ml->pdata;
ThreadDatum* thread = ml->_thread;
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);

double* a = weights + weight_index + 1;
(*a) = inst->a0[id];
auto& nsb = ml->_net_send_buffer;
}


static inline void net_receive_kernel_ForNetconsSyn(double t, Point_process* pnt, ForNetconsSyn_Instance* inst, NrnThread* nt, Memb_list* ml, int weight_index, double flag) {
int tid = pnt->_tid;
int id = pnt->_i_instance;
double v = 0;
int nodecount = ml->nodecount;
int pnodecount = ml->_nodecount_padded;
double* data = ml->data;
double* weights = nt->weights;
Datum* indexes = ml->pdata;
ThreadDatum* thread = ml->_thread;

double* a = weights + weight_index + 1;
inst->tsave[id] = t;
{
const size_t offset = 2*pnodecount + id;
const size_t for_netcon_start = nt->_fornetcon_perm_indices[indexes[offset]];
const size_t for_netcon_end = nt->_fornetcon_perm_indices[indexes[offset] + 1];
for (auto i = for_netcon_start; i < for_netcon_end; ++i) {
weights[1 + nt->_fornetcon_weight_perm[i]] = 2.0 * weights[1 + nt->_fornetcon_weight_perm[i]];
}

}
}


static void net_receive_ForNetconsSyn(Point_process* pnt, int weight_index, double flag) {
NrnThread* nt = nrn_threads + pnt->_tid;
Memb_list* ml = get_memb_list(nt);
NetReceiveBuffer_t* nrb = ml->_net_receive_buffer;
if (nrb->_cnt >= nrb->_size) {
realloc_net_receive_buffer(nt, ml);
}
int id = nrb->_cnt;
nrb->_pnt_index[id] = pnt-nt->pntprocs;
nrb->_weight_index[id] = weight_index;
nrb->_nrb_t[id] = nt->_t;
nrb->_nrb_flag[id] = flag;
nrb->_cnt++;
}


void net_buf_receive_ForNetconsSyn(NrnThread* nt) {
Memb_list* ml = get_memb_list(nt);
if (!ml) {
return;
}

NetReceiveBuffer_t* nrb = ml->_net_receive_buffer;
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);
int count = nrb->_displ_cnt;
#pragma omp simd
#pragma ivdep
for (int i = 0; i < count; i++) {
int start = nrb->_displ[i];
int end = nrb->_displ[i+1];
for (int j = start; j < end; j++) {
int index = nrb->_nrb_index[j];
int offset = nrb->_pnt_index[index];
double t = nrb->_nrb_t[index];
int weight_index = nrb->_weight_index[index];
double flag = nrb->_nrb_flag[index];
Point_process* point_process = nt->pntprocs + offset;
net_receive_kernel_ForNetconsSyn(t, point_process, inst, nt, ml, weight_index, flag);
}
}
nrb->_displ_cnt = 0;
nrb->_cnt = 0;
}


/** initialize channel */
void nrn_init_ForNetconsSyn(NrnThread* nt, Memb_list* ml, int type) {
int nodecount = ml->nodecount;
int pnodecount = ml->_nodecount_padded;
const int* node_index = ml->nodeindices;
double* data = ml->data;
const double* voltage = nt->_actual_v;
Datum* indexes = ml->pdata;
ThreadDatum* thread = ml->_thread;

setup_instance(nt, ml);
auto* const inst = static_cast<ForNetconsSyn_Instance*>(ml->instance);

if (_nrn_skip_initmodel == 0) {
#pragma omp simd
#pragma ivdep
for (int id = 0; id < nodecount; id++) {
inst->tsave[id] = -1e20;
int node_id = node_index[id];
double v = voltage[node_id];
#if NRN_PRCELLSTATE
inst->v_unused[id] = v;
#endif
}
}
}


/** register channel with the simulator */
void _for_netcons_syn_reg() {

int mech_type = nrn_get_mechtype("ForNetconsSyn");
ForNetconsSyn_global.mech_type = mech_type;
if (mech_type == -1) {
return;
}

_nrn_layout_reg(mech_type, 0);
point_register_mech(mechanism_info, nrn_alloc_ForNetconsSyn, nullptr, nullptr, nullptr, nrn_init_ForNetconsSyn, nrn_private_constructor_ForNetconsSyn, nrn_private_destructor_ForNetconsSyn, first_pointer_var_index(), nullptr, nullptr, 1);

hoc_register_prop_size(mech_type, float_variables_size(), int_variables_size());
hoc_register_dparam_semantics(mech_type, 0, "area");
hoc_register_dparam_semantics(mech_type, 1, "pntproc");
hoc_register_dparam_semantics(mech_type, 2, "fornetcon");
hoc_register_net_receive_buffering(net_buf_receive_ForNetconsSyn, mech_type);
set_pnt_receive(mech_type, net_receive_ForNetconsSyn, net_init, num_net_receive_args());
add_nrn_fornetcons(mech_type, 2);
hoc_register_var(hoc_scalar_double, hoc_vector_double, NULL);
}
}
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