sPyNNaker neural_modelling  development
matrix_generator_common.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 
24 #ifndef __MATRIX_GENERATOR_COMMON_H__
25 #define __MATRIX_GENERATOR_COMMON_H__
26 
27 #include <debug.h>
28 
30 #define N_HEADER_WORDS 3
31 
35 struct delay_value {
36  uint16_t delay;
37  uint16_t stage;
38 };
39 
47 static struct delay_value get_delay(
48  uint16_t delay_value, uint32_t max_stage,
49  uint32_t max_delay_per_stage) {
50  uint16_t delay = delay_value;
51 
52  // Ensure delay is at least 1
53  if (delay < 1) {
54  log_debug("Delay of %u is too small", delay);
55  delay = 1;
56  }
57 
58  // Ensure that the delay is less than the maximum
59  uint16_t stage = (delay - 1) / max_delay_per_stage;
60  if (stage >= max_stage) {
61  log_debug("Delay of %u is too big", delay);
62  stage = max_stage - 1;
63  delay = (stage * max_delay_per_stage);
64  }
65 
66  // Get the remainder of the delay
67  delay = ((delay - 1) % max_delay_per_stage) + 1;
68  return (struct delay_value) {.delay = delay, .stage = stage};
69 }
70 
80 static void *get_row(uint32_t *synaptic_matrix, uint32_t max_row_n_words,
81  uint32_t pre_index) {
82  uint32_t idx = pre_index * (max_row_n_words + N_HEADER_WORDS);
83  return &synaptic_matrix[idx];
84 }
85 
99 static void *get_delay_row(uint32_t *delayed_synaptic_matrix,
100  uint32_t max_delayed_row_n_words, uint32_t pre_index, uint32_t delay_stage,
101  uint32_t n_pre_neurons_per_core, uint32_t max_delay_stage, uint32_t n_pre_neurons) {
102  // Work out which core the pre-index is on
103  uint32_t core = 0;
104  uint32_t remaining_pre_neurons = n_pre_neurons;
105  while (((core + 1) * n_pre_neurons_per_core) < pre_index) {
106  core++;
107  remaining_pre_neurons -= n_pre_neurons_per_core;
108  }
109 
110  // Get the core-local pre-index
111  uint32_t local_pre_index = pre_index - (core * n_pre_neurons_per_core);
112 
113  // Find the number of neurons on *this* core, which might be the last core
114  // (and therefore have less of them)
115  uint32_t n_neurons_on_core = n_pre_neurons_per_core;
116  if (remaining_pre_neurons < n_pre_neurons_per_core) {
117  n_neurons_on_core = remaining_pre_neurons;
118  }
119 
120  // Work out the *delay* neurons per pre-delay-core
121  uint32_t n_delay_neurons_per_core = n_pre_neurons_per_core * (max_delay_stage - 1);
122 
123  // With these we can now work out the number of rows associated with all the
124  // previous cores, and the delay row index for this core
125  uint32_t delay_core_index = core * n_delay_neurons_per_core;
126  uint32_t delay_local_index = ((delay_stage - 1) * n_neurons_on_core) + local_pre_index;
127 
128  // That then finally gives us the delay pre-row
129  uint32_t pre_row = delay_core_index + delay_local_index;
130  uint32_t idx = pre_row * (max_delayed_row_n_words + N_HEADER_WORDS);
131  return &delayed_synaptic_matrix[idx];
132 }
133 
134 
135 #endif // __MATRIX_GENERATOR_COMMON_H__
#define N_HEADER_WORDS
The number of header words per row.
static void * get_row(uint32_t *synaptic_matrix, uint32_t max_row_n_words, uint32_t pre_index)
Get a synaptic row for a given neuron.
static struct delay_value get_delay(uint16_t delay_value, uint32_t max_stage, uint32_t max_delay_per_stage)
Get a converted delay value and stage.
static void * get_delay_row(uint32_t *delayed_synaptic_matrix, uint32_t max_delayed_row_n_words, uint32_t pre_index, uint32_t delay_stage, uint32_t n_pre_neurons_per_core, uint32_t max_delay_stage, uint32_t n_pre_neurons)
Get a delayed synaptic row for a given neuron and delay stage.
A converted final delay value and delay stage.