sPyNNaker neural_modelling 7.1.1
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rng.h
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1/*
2 * Copyright (c) 2017 The University of Manchester
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * https://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#ifndef __RNG_H__
18#define __RNG_H__
19
24#include <common-typedefs.h>
25#include <random.h>
26
30typedef struct rng {
32} rng_t;
33
42
48uint32_t rng_generator(rng_t *rng);
49
56
62accum rng_normal(rng_t *rng);
63
69
73extern rng_t *population_rng;
74
78extern rng_t *core_rng;
79
80#endif
uint32_t mars_kiss64_seed_t[4]
static mars_kiss64_seed_t seed
YUCK copy and pasted RNG to allow inlining and also to avoid horrific executable bloat.
Definition random_util.h:31
accum rng_exponential(rng_t *rng)
Generate an exponentially-distributed random number.
Definition rng.c:30
accum rng_normal(rng_t *rng)
Generate an normally-distributed random number.
Definition rng.c:34
rng_t * core_rng
An RNG that is local to the current core.
void rng_free(rng_t *rng)
Finish with a random number generator.
rng_t * population_rng
An RNG that starts in the same place on every core of the Population.
uint32_t rng_generator(rng_t *rng)
Generate a uniformly-distributed random number.
Definition rng.c:26
rng_t * rng_init(void **region)
Initialise the random number generator.
The Random number generator parameters.
Definition rng.h:30
region
spike source array region IDs in human readable form
static uint32_t rng(void)
Random number generation for the Poisson sources. This is a local version for speed of operation.