def build_inputName(Network,target):
L = int(np.sqrt(Network.infos['Visible Units']))
dataFileName = 'data/measurements/L'
dataFileName += str(L)
dataFileName += '/'
dataFileName += NET.build_fileName(Network,target)
return dataFileName
args.bs,
args.CD,
args.lr,
args.L2,
args.T)
pathToNetwork = '../'
pathToNetwork += NET.build_networkPath(Network)
Trained_Network = cPickle.load(open(pathToNetwork))
Network.load(Trained_Network)
outputName = '../data/measurements/L'
outputName += str(args.L)
outputName += '/'
outputName += NET.build_fileName(Network,'logZ')
outputFile = open(outputName, 'w')
outputFile.write('# logZ \n')
annealed = Z(n_v,args.hid,args.beta,args.runs)
annealed.get_parameters(Network.infos)
annealed.get_Z(outputFile)
#logZ = np.log(annealed.Z)
#print ('\nLog Partition Function: %f' % logZ)
#NET.update_logZ(pathToNetwork,Network,logZ,args.K,args.M)
#-------------------------------------------------
def build_outputName(Network,target):
outputName = 'data/observables/temp/'
outputName += NET.build_fileName(Network,'observables')
return outputName
n_v = args.L*args.L
Network = NET.Network(n_v,
args.model,
args.hid,
args.ep,
args.bs,
args.CD,
args.lr,
args.L2,
args.T)
dataFileName = '../data/measurements/L'
dataFileName += str(args.L)
dataFileName += '/'
dataFileName += NET.build_fileName(Network,args.targ)
outputName = '../data/observables/temp/'
outputName += NET.build_fileName(Network,'Ising_observables')
outputFile = open(outputName,'w')
temperatureFile = open('../data/datasets/Ising2d_Temperatures.txt','r')
T_array = np.loadtxt(temperatureFile)
T = T_array[args.T]
dataFile = open(dataFileName,'r')
[obs,data] = load_data(dataFile)
[avg,err] = observables(obs,data,n_v,T)
write_output(outputFile,avg,err,T)