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()
#######################################################
headline("some variable dimension example (watch.*)")
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()
#######################################################
headline("some variable dimension example (watch.*)")
util.registerFunction(outtestfunc, "outtestfunc", krui.OUT_FUNC, 0, 0)
util.registerFunction(outtestfunc2, "outtestfunc2", krui.OUT_FUNC, 0, 0)
util.registerFunction(acttest, "acttest", krui.ACT_FUNC, 0, 0)
util.registerFunction(actderivtest, "acttest", krui.ACT_DERIV_FUNC, 0, 0)
util.registerFunction(actderiv2test, "acttest", krui.ACT_2_DERIV_FUNC, 0, 0)
newnum = krui.getNoOfFunctions()
print "After adding:", newnum
for num in range(oldnum - 2, newnum + 1):
print "Function number", num, "Info:", krui.getFuncInfo(num)
print krui.loadNet('encoder.net')
for num in [1, 10, 19]:
krui.setUnitOutFunc(num, "outtestfunc")
for num in [2, 11, 18]:
krui.setUnitOutFunc(num, "outtestfunc2")
for num in [3, 9, 17]:
krui.setUnitActFunc(num, "acttest")
krui.loadNewPatterns('encoder.pat')
krui.DefTrainSubPat()
print "Learning one pattern"
krui.learnSinglePattern(1, (0.2, 0))
krui.setUnitDefaults(1.0, 0, krui.INPUT, 0, 1, "acttest", "outtestfunc")
newunit = krui.createDefaultUnit()
print "New unit:", newunit
print "Act func name:", krui.getUnitActFuncName(newunit)
krui.deleteUnitList(newunit)
krui.saveNet("tmp.net", "testnet")
print "finished"
util.registerFunction(outtestfunc2,"outtestfunc2",krui.OUT_FUNC,0,0)
util.registerFunction(acttest,"acttest",krui.ACT_FUNC,0,0)
util.registerFunction(actderivtest,"acttest",krui.ACT_DERIV_FUNC,0,0)
util.registerFunction(actderiv2test,"acttest",krui.ACT_2_DERIV_FUNC,0,0)
newnum = krui.getNoOfFunctions()
print "After adding:", newnum
for num in range(oldnum - 2, newnum + 1) :
print "Function number", num, "Info:",krui.getFuncInfo(num)
print krui.loadNet('encoder.net')
for num in [1,10,19] :
krui.setUnitOutFunc(num,"outtestfunc")
for num in [2,11,18] :
krui.setUnitOutFunc(num,"outtestfunc2")
for num in [3,9,17] :
krui.setUnitActFunc(num,"acttest")
krui.loadNewPatterns('encoder.pat')
krui.DefTrainSubPat()
print "Learning one pattern"
krui.learnSinglePattern(1,(0.2,0))
krui.setUnitDefaults(1.0,0,krui.INPUT,0,1,"acttest","outtestfunc")
newunit = krui.createDefaultUnit()
print "New unit:", newunit
print "Act func name:", krui.getUnitActFuncName(newunit)
krui.deleteUnitList(newunit)
krui.saveNet("tmp.net","testnet")
print "finished"
