krui.setPatternNo(7)
krui.showPattern(krui.OUTPUT_OUT)
krui.newPattern()
krui.shufflePatterns(1)
krui.shuffleSubPatterns(1)
krui.saveNewPatterns('foo.pat',patset)
krui.setPatternNo(1)
(setinfo, patinfo) = krui.GetPatInfo()
print "Number of patterns: ", setinfo.number_of_pattern
print "Input Dimensions:", len(patinfo.input_dim_sizes)
print "Output Dimensions:", len(patinfo.output_dim_sizes)
print "Number of subpatterns for each pattern:", krui.DefTrainSubPat((),(),(),())
print "Total number of subpatterns:", krui.getTotalNoOfSubPatterns()
krui.setRemapFunc("None",())
print "Learning all patterns, result:"
print krui.learnAllPatterns((1.2,0))
print "Learning pattern 3, result:"
print krui.learnSinglePattern(3,(1.2,0))
print "Updating unit 1"
krui.updateSingleUnit(1)
print "Updating net"
krui.updateNet(())
krui.saveResultParam('foo.res', 1,1,krui.getNoOfPatterns(),1,1,())
krui.deleteAllPatterns()
krui.deletePatSet(patset)
patset = krui.allocNewPatternSet()
patset2 = krui.allocNewPatternSet()
krui.setCurrPatSet(patset)
krui.deleteNet()
#######################################################
krui.showPattern(krui.OUTPUT_OUT)
krui.newPattern()
krui.shufflePatterns(1)
krui.shuffleSubPatterns(1)
krui.saveNewPatterns('foo.pat', patset)
krui.setPatternNo(1)
(setinfo, patinfo) = krui.GetPatInfo()
print "Number of patterns: ", setinfo.number_of_pattern
print "Input Dimensions:", len(patinfo.input_dim_sizes)
print "Output Dimensions:", len(patinfo.output_dim_sizes)
print "Number of subpatterns for each pattern:", krui.DefTrainSubPat(
(), (), (), ())
print "Total number of subpatterns:", krui.getTotalNoOfSubPatterns()
krui.setRemapFunc("None", ())
print "Learning all patterns, result:"
print krui.learnAllPatterns((1.2, 0))
print "Learning pattern 3, result:"
print krui.learnSinglePattern(3, (1.2, 0))
print "Updating unit 1"
krui.updateSingleUnit(1)
print "Updating net"
krui.updateNet(())
krui.saveResultParam('foo.res', 1, 1, krui.getNoOfPatterns(), 1, 1, ())
krui.deleteAllPatterns()
krui.deletePatSet(patset)
patset = krui.allocNewPatternSet()
patset2 = krui.allocNewPatternSet()
krui.setCurrPatSet(patset)
krui.deleteNet()
#######################################################
krui.setCurrentUnit(num)
for src in hidden :
krui.createLink(src,0)
print "Creating patterns"
krui.deleteAllPatterns()
patset = krui.allocNewPatternSet()
for unum in range(8) :
for curnum in range(8) :
for row in inputs, outputs :
krui.setUnitActivation(row[curnum], curnum == unum)
krui.newPattern()
krui.initializeNet(-1,1)
krui.shufflePatterns(1)
krui.DefTrainSubPat()
print "Training"
i=0
while i < 50000 :
res = krui.learnAllPatterns(0.2,0)
if not i % 5000 : print "Error in learning cycle %d:" % i, res[0]
i = i + 1
print "Writing pyencoder.pat"
krui.saveNewPatterns('pyencoder.pat',patset)
print "Writing pyencoder.net"
krui.saveNet('pyencoder.net','pyencoder')
krui.setCurrentUnit(num)
for src in hidden:
krui.createLink(src, 0)
print "Creating patterns"
krui.deleteAllPatterns()
patset = krui.allocNewPatternSet()
for unum in range(8):
for curnum in range(8):
for row in inputs, outputs:
krui.setUnitActivation(row[curnum], curnum == unum)
krui.newPattern()
krui.initializeNet(-1, 1)
krui.shufflePatterns(1)
krui.DefTrainSubPat()
print "Training"
i = 0
while i < 50000:
res = krui.learnAllPatterns(0.2, 0)
if not i % 5000: print "Error in learning cycle %d:" % i, res[0]
i = i + 1
print "Writing pyencoder.pat"
krui.saveNewPatterns('pyencoder.pat', patset)
print "Writing pyencoder.net"
krui.saveNet('pyencoder.net', 'pyencoder')
krui.setUnitActivation(outputs[i], pix2real(block[i])) krui.newPattern() krui.initializeNet(-1,1) krui.shufflePatterns(1) krui.DefTrainSubPat() pruch_1 = int(argv[1]) pruch_2 = int(argv[2]) print "Fáze uèení (%d+%d prùchodù)" % (pruch_1, pruch_2) i=0 # první fáze uèení while i < pruch_1: res = krui.learnAllPatterns(0.3, 0.1) if not i % 100 : print "Fáze 1, chyba v cyklu %d:" % i, res[0] i = i + 1 # druhá fáze (jemnìj¹í) i=0 while i < pruch_2: res = krui.learnAllPatterns(0.03, 0.1) if not i % 100 : print "Fáze 2, chyba v cyklu %d:" % i, res[0] i = i + 1 print "Rekonstruuji pùvodní obrázek" im.blank() for p in xrange(krui.getNoOfPatterns()):
