sPyNNaker neural_modelling 7.3.1
Loading...
Searching...
No Matches
connection_generator_fixed_pre.h
Go to the documentation of this file.
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
24#include <log.h>
26#include <stdbool.h>
27
30 uint32_t allow_self_connections;
31 uint32_t with_replacement;
32 uint32_t n_pre;
33};
34
38struct fixed_pre {
40};
41
49static uint32_t pre_random_in_range(rng_t *rng, uint32_t range) {
50 uint32_t u01 = rng_generator(rng) & 0x00007fff;
51 return (u01 * range) >> 15;
52}
53
61 // Allocate memory for the parameters
62 struct fixed_pre *obj = spin1_malloc(sizeof(struct fixed_pre));
63
64 // Copy the parameters in
65 struct fixed_pre_params *params_sdram = *region;
66 obj->params = *params_sdram;
67 *region = &params_sdram[1];
68
69 log_debug("Fixed Number Pre Connector parameters: "
70 "allow self connections = %u, "
71 "with replacement = %u, n_pre = %u",
72 obj->params.allow_self_connections,
73 obj->params.with_replacement, obj->params.n_pre);
74
75 return obj;
76}
77
83 sark_free(generator);
84}
85
106 void *generator, uint32_t pre_lo, uint32_t pre_hi,
107 uint32_t post_lo, uint32_t post_hi, UNUSED uint32_t post_index,
108 uint32_t post_slice_start, uint32_t post_slice_count,
109 unsigned long accum weight_scale, accum timestep_per_delay,
110 param_generator_t weight_generator, param_generator_t delay_generator,
111 matrix_generator_t matrix_generator) {
112 // Get the actual ranges to generate within
113 uint32_t post_start = max(post_slice_start, post_lo);
114 uint32_t post_end = min(post_slice_start + post_slice_count - 1, post_hi);
115
116 struct fixed_pre *obj = generator;
117 // Get how many values can be sampled from
118 uint32_t n_values = pre_hi - pre_lo + 1;
119 // Get the number of connections in each column
120 uint32_t n_conns = obj->params.n_pre;
121
122 // We have to generate everything for each column, then just take our share,
123 // so we use the population_rng here to ensure all cores do the same thing
124 for (uint32_t post = post_start; post <= post_end; post++) {
125 uint32_t local_post = post - post_slice_start;
126 if (obj->params.with_replacement) {
127 // If with replacement just repeated pick
128 for (uint32_t j = 0; j < n_conns; j++) {
129 accum weight = param_generator_generate(weight_generator);
130 uint16_t delay = rescale_delay(
131 param_generator_generate(delay_generator), timestep_per_delay);
132 uint32_t pre;
133 bool written = false;
134 uint32_t n_retries = 0;
135 do {
136 pre = pre_random_in_range(core_rng, n_values) + pre_lo;
137 if (obj->params.allow_self_connections || pre != post) {
139 matrix_generator, pre, local_post, weight, delay,
140 weight_scale);
141 n_retries++;
142 }
143 } while (!written && n_retries < 10);
144 if (!written) {
145 log_error("Couldn't find a row to write to!");
146 return false;
147 }
148 }
149 } else {
150 // Without replacement uses reservoir sampling to save space
151 uint16_t values[n_conns];
152 uint32_t replace_start = n_conns;
153 for (uint32_t j = 0; j < n_conns; j++) {
154 if (j == post && !obj->params.allow_self_connections) {
155 values[j] = n_conns;
156 replace_start = n_conns + 1;
157 } else {
158 values[j] = j + pre_lo;
159 }
160 }
161 for (uint32_t j = replace_start; j < n_values; j++) {
162 // r = random(0, j) (inclusive); swap j into array if r
163 // is in range
164 if (j != post || obj->params.allow_self_connections) {
165 uint32_t r = pre_random_in_range(core_rng, j + 1);
166 if (r < n_conns) {
167 values[r] = j + pre_lo;
168 }
169 }
170 }
171 for (uint32_t j = 0; j < n_conns; j++) {
172 accum weight = param_generator_generate(weight_generator);
173 uint16_t delay = rescale_delay(
174 param_generator_generate(delay_generator), timestep_per_delay);
175 // Not a lot we can do here!
177 local_post, weight, delay, weight_scale)) {
178 log_warning("Could not write to matrix!");
179 }
180 }
181 }
182 }
183 return true;
184}
static void * connection_generator_fixed_pre_initialise(void **region)
Initialise the fixed-pre connection generator.
bool connection_generator_fixed_pre_generate(void *generator, uint32_t pre_lo, uint32_t pre_hi, uint32_t post_lo, uint32_t post_hi, uint32_t post_index, uint32_t post_slice_start, uint32_t post_slice_count, unsigned long accum weight_scale, accum timestep_per_delay, param_generator_t weight_generator, param_generator_t delay_generator, matrix_generator_t matrix_generator)
Generate connections with the fixed-pre connection generator.
static uint32_t pre_random_in_range(rng_t *rng, uint32_t range)
Generates a uniformly-distributed random number.
void connection_generator_fixed_pre_free(void *generator)
Free the fixed-pre connection generator.
The data to be passed around.
The parameters that can be copied from SDRAM.
void log_error(const char *message,...)
void log_warning(const char *message,...)
void log_debug(const char *message,...)
static uint16_t rescale_delay(accum delay, accum timestep_per_delay)
Rescales a delay to account for timesteps and type-converts it.
bool matrix_generator_write_synapse(matrix_generator_t generator, uint32_t pre_index, uint16_t post_index, accum weight, uint16_t delay, unsigned long accum weight_scale)
Write a synapse with a matrix generator.
The data for a matrix generator.
rng_t * core_rng
An RNG that is local to the current core.
accum param_generator_generate(param_generator_t generator)
Generate value with a parameter generator.
uint32_t rng_generator(rng_t *rng)
Generate a uniformly-distributed random number.
Definition rng.c:26
Random number generator interface.
The Random number generator parameters.
Definition rng.h:30
void sark_free(void *ptr)
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.
#define min(a, b)
static stdp_params params
Configuration parameters.