def root_defaults(self):
defaults = {
'rate_limit': 1000,
'synapse': {
'max_level': 30000,
'learn_rate': 10,
'learn_threshold': 1000,
'spike_learn_threshold': 0,
'spike_forget_threshold': 0,
},
'layers': [{
'threshold': 30000,
'relaxation': 1000,
'is_inhibitory': False,
'spike_cost': 10, # we want one spike per 10 ticks
'max_vitality': types.max(types.vitality),
'connect': [{
'radius': 1,
'shift': [0, 0],
}]
# 'name': required,
# 'width': required,
# 'height': required,
}],
'domains': [{
'stat_size': 1000,
'device': {
'type': 'OpenCL',
},
}]
}
set_default(self, {'defaults': defaults})
for key in ['layers', 'domains']:
if key not in self['defaults']:
self['defaults'][key] = deepcopy(defaults[key])
set_default(self, self['defaults'])
def layer_defaults(self, layer):
layer_defaults = self['defaults']['layers'][0]
set_default(layer, layer_defaults)
def domain_defaults(self, domain):
domain_defaults = self['defaults']['domains'][0]
set_default(domain, domain_defaults)
for domain_layer in domain.get('layers', []):
self.domain_layer_defaults(domain_layer)
