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tracker.py
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tracker.py
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import os
import bandit
import prototypes
import nxsdk.api.n2a as nx
import numpy as np
import re
from nxsdk.graph.monitor.probes import *
from nxsdk.graph.processes.phase_enums import Phase
class tracker:
def __init__(self, network, prototypes, n_actions, **kwargs):
self.n_actions = n_actions
self.n_per_state = kwargs.get("n_per_state", 1)
self.totalNeurons = self.n_actions * self.n_per_state
self.l_epoch = kwargs.get("l_epoch", 128)
self.epsilon = int(100*kwargs.get("epsilon", 0.10))
self.recordWeights = kwargs.get('recordWeights', False)
self.recordSpikes = kwargs.get('recordSpikes', False)
#initialize the network
self.net = network
self.vth = prototypes['vth']
if prototypes is not None:
self.c_prototypes = prototypes['c_prototypes']
self.n_prototypes = prototypes['n_prototypes']
self.s_prototypes = prototypes['s_prototypes']
else:
#setup the necessary NX prototypes
self._create_prototypes()
self._create_trackers()
self._create_probes()
def _create_prototypes(self):
prototypes = prototypes.create_prototypes(self.vth)
self.c_prototypes = prototypes['c_prototypes']
self.n_prototypes = prototypes['n_prototypes']
self.s_prototypes = prototypes['s_prototypes']
def _create_probes(self):
# -- Create Probes --
self.probes = {}
if self.recordSpikes:
self.probes['spks'] = self.compartments['soma'].probe(nx.ProbeParameter.SPIKE)
self.probes['nspks'] = self.neurons['invneurons'].soma.probe(nx.ProbeParameter.SPIKE)
self.probes['eand'] = self.compartments['exc_ands'].probe(nx.ProbeParameter.SPIKE)
self.probes['iand'] = self.compartments['inh_ands'].probe(nx.ProbeParameter.SPIKE)
#self.vSpkProbe = self.integrator.probe(nx.ProbeParameter.SPIKE)
#self.rwdProbe = self.inputs.probe(nx.ProbeParameter.SPIKE)
if self.recordWeights:
self.probes['weights'] = self.compartments['memory'].probe(nx.ProbeParameter.COMPARTMENT_VOLTAGE)
self.probes['counters'] = self.compartments['counters'].probe(nx.ProbeParameter.COMPARTMENT_VOLTAGE)
#self.probes['vspks'] = self.compartments['soma'].probe(nx.ProbeParameter.COMPARTMENT_VOLTAGE)
#self.probes['vnspks'] = self.neurons['invneurons'].soma.probe(nx.ProbeParameter.COMPARTMENT_VOLTAGE)
def _create_trackers(self):
# -- Create Compartments & Neurons --
self.compartments = {}
self.connections = {}
self.connection_maps = {}
self.neurons = {}
self.stubs = {}
c_prototypes = self.c_prototypes
n_prototypes = self.n_prototypes
s_prototypes = self.s_prototypes
#create Q & wire neurons
qneurons = self.net.createNeuronGroup(size=self.totalNeurons,
prototype=n_prototypes['qProto'])
qneurons_softreset = qneurons.soma.connect(qneurons.dendrites[0],
prototype=s_prototypes['vthconn'],
connectionMask=np.identity(self.totalNeurons))
memory = qneurons.dendrites[0].dendrites[0]
self.neurons['qneurons'] = qneurons
self.connections['qneurons_softreset'] = qneurons_softreset
self.compartments['soma'] = qneurons.soma
self.compartments['integrator'] = qneurons.dendrites[0]
self.compartments['memory'] = memory
#create & wire inverters
invneurons = self.net.createNeuronGroup(size=self.totalNeurons,
prototype=n_prototypes['invNeuron'])
#(Provides the constant 1 signal to inverters)
driver = self.net.createCompartmentGroup(size=1,
prototype=c_prototypes['spkProto'])
driver_connection = driver.connect(invneurons.soma,
prototype=s_prototypes['spkconn'],
connectionMask=np.ones((self.totalNeurons,1)))
self.neurons['invneurons'] = invneurons
self.compartments['driver'] = driver
self.connections['driver_connection'] = driver_connection
#create ANDs
exc_ands = self.net.createCompartmentGroup(size=self.totalNeurons,
prototype=c_prototypes['andProto'])
inh_ands = self.net.createCompartmentGroup(size=self.totalNeurons,
prototype=c_prototypes['andProto'])
self.compartments['exc_ands'] = exc_ands
self.compartments['inh_ands'] = inh_ands
#create input stubs for R/P signals to interface with
estubs = self.net.createInputStubGroup(size=self.n_actions)
istubs = self.net.createInputStubGroup(size=self.n_actions)
self.stubs['estubs'] = estubs
self.stubs['istubs'] = istubs
#create the mask that will map the reward/punishment stubs to the right q-trackers,
# and q-trackers to output
tracker_to_stub = np.tile(np.identity(self.n_actions), self.n_per_state)
stub_to_tracker = tracker_to_stub.transpose()
self.connection_maps['tracker_to_stub'] = tracker_to_stub
self.connection_maps['stub_to_tracker'] = stub_to_tracker
# -- Create Higher Connections --
# Q to inverter
qinv_conns = qneurons.soma.connect(invneurons.dendrites[0],
prototype=s_prototypes['spkconn'],
connectionMask=np.identity(self.totalNeurons))
# &EXC to Q memory
exc_conns = exc_ands.connect(memory,
prototype=s_prototypes['econn'],
connectionMask=np.identity(self.totalNeurons))
# &INH to Q memory
inh_conns = inh_ands.connect(memory,
prototype=s_prototypes['iconn'],
connectionMask=np.identity(self.totalNeurons))
# !Q to &EXC
nspk_exc_conns = invneurons.soma.connect(exc_ands,
prototype=s_prototypes['halfconn'],
connectionMask=np.identity(self.totalNeurons))
# Q to &INH
spk_inh_conns = qneurons.soma.connect(inh_ands,
prototype=s_prototypes['halfconn'],
connectionMask=np.identity(self.totalNeurons))
# Exc stub to &EXC
estub_inh_conn = estubs.connect(exc_ands,
prototype=s_prototypes['halfconn'],
connectionMask=stub_to_tracker)
# Inh stub to &INH
istub_exc_conn = istubs.connect(inh_ands,
prototype=s_prototypes['halfconn'],
connectionMask=stub_to_tracker)
self.connections['qinv_conns'] = qinv_conns
self.connections['exc_conns'] = exc_conns
self.connections['inh_conns'] = inh_conns
self.connections['nspk_exc_conns'] = nspk_exc_conns
self.connections['spk_inh_conns'] = spk_inh_conns
self.connections['estub_exc_conn'] = estub_inh_conn
self.connections['istub_inh_conn'] = istub_exc_conn
#counter
counters = self.net.createCompartmentGroup(size=self.n_actions,
prototype=self.c_prototypes['counterProto'])
self.connections['soma_counter'] = qneurons.soma.connect(counters,
prototype=self.s_prototypes['single'],
connectionMask=self.connection_maps['tracker_to_stub'])
self.compartments['counters'] = counters
def get_counter_locations(self):
locs = []
for i in range(self.n_actions):
compartmentId = self.compartments['counters'][i].nodeId
compartmentLoc = self.net.resourceMap.compartmentMap[compartmentId]
locs.append(compartmentLoc)
return locs
def get_probeid_map(self):
assert self.recordSpikes, "Must be recording spikes to have a probemap to access."
pids = [self.probes['spks'][0][i].n2Probe.counterId for i in range(self.totalNeurons)]
return pids
def get_weights(self):
assert self.recordWeights, "Weights were not recorded."
n_d = len(self.weightProbe[0][0].data)
ws = np.zeros((self.totalNeurons, n_d), dtype='int')
for i in range(self.totalNeurons):
ws[i,:] = self.weightProbe[0][i].data
return ws
def get_voltages(self):
assert self.recordWeights, "Weights were not recorded."
n_d = len(self.vProbe[0][0].data)
vs = np.zeros((self.totalNeurons, n_d), dtype='int')
for i in range(self.totalNeurons):
vs[i,:] = self.vProbe[0][i].data
return vs