def shaderStats(compiler, stage, name, vscontext, fscontext): collect = ShaderStatCollector() for code in (vscontext.code, fscontext.code): ops, lcls, copies = astcollector.getAll(code) for op in ops: collect.op(op) collect.copies(len(copies)) name = remap[name] compiler.stats[stage][name] = collect
def contextStats(compiler, prgm, name, classOK=False): if not config.dumpStats: return optimization.cullprogram.evaluate(compiler, prgm) reportdir = os.path.join(config.outputDirectory, 'stats', name) ensureDirectoryExists(reportdir) liveCode = prgm.liveCode collect = StatCollector() collect.name = name collect.reportdir = reportdir for code in liveCode: if not code.isStandardCode(): continue cls = classifyCode(code) collect.code(cls, code) if False: print code print cls, len(code.annotation.contexts) print code.annotation.origin print ops, lcls, copies = astcollector.getAll(code) for op in ops: collect.op(cls, code, op) collect.copies(cls, code, len(copies)) # Histogram if False: for count in sorted(collect.counts.iterkeys()): print count for cls, num in collect.counts[count].iteritems(): print '\t', cls, num print tw = collections.defaultdict(lambda: 0) tc = collections.defaultdict(lambda: 0) for xtype, count in collect.access.iteritems(): tw[xtype.obj.pythonType()] += count tc[xtype.obj.pythonType()] += 1 paw = 0 tow = 0 otc = 0 for t, count in collect.taccess.iteritems(): rel = tw[t]/float(tc[t]) print t, count, rel paw += rel tow += count otc += 1 tapo = float(tow)/otc papo = paw/otc print print tapo, papo, papo/tapo print functionRatios(collect, classOK) opRatios(collect, classOK) if prgm.stats: opsRemoved(collect, prgm.stats) if False: for cls, lut in collect.opCount.iteritems(): print cls for opT, num in lut.iteritems(): print '\t', opT, num print print opPieChart(collect) print "vparams" print collect.vparamCount, collect.contextVparamCount print print "vargs" print collect.vargCount, collect.contextVargCount print generateIndex(collect) prgm.stats = collect return collect
def contextStats(compiler, prgm, name, classOK=False):
if not config.dumpStats: return
optimization.cullprogram.evaluate(compiler, prgm)
reportdir = os.path.join(config.outputDirectory, 'stats', name)
ensureDirectoryExists(reportdir)
liveCode = prgm.liveCode
collect = StatCollector()
collect.name = name
collect.reportdir = reportdir
for code in liveCode:
if not code.isStandardCode(): continue
cls = classifyCode(code)
collect.code(cls, code)
if False:
print code
print cls, len(code.annotation.contexts)
print code.annotation.origin
print
ops, lcls, copies = astcollector.getAll(code)
for op in ops:
collect.op(cls, code, op)
collect.copies(cls, code, len(copies))
# Histogram
if False:
for count in sorted(collect.counts.iterkeys()):
print count
for cls, num in collect.counts[count].iteritems():
print '\t', cls, num
print
tw = collections.defaultdict(lambda: 0)
tc = collections.defaultdict(lambda: 0)
for xtype, count in collect.access.iteritems():
tw[xtype.obj.pythonType()] += count
tc[xtype.obj.pythonType()] += 1
paw = 0
tow = 0
otc = 0
for t, count in collect.taccess.iteritems():
rel = tw[t] / float(tc[t])
print t, count, rel
paw += rel
tow += count
otc += 1
tapo = float(tow) / otc
papo = paw / otc
print
print tapo, papo, papo / tapo
print
functionRatios(collect, classOK)
opRatios(collect, classOK)
if prgm.stats:
opsRemoved(collect, prgm.stats)
if False:
for cls, lut in collect.opCount.iteritems():
print cls
for opT, num in lut.iteritems():
print '\t', opT, num
print
print
opPieChart(collect)
print "vparams"
print collect.vparamCount, collect.contextVparamCount
print
print "vargs"
print collect.vargCount, collect.contextVargCount
print
generateIndex(collect)
prgm.stats = collect
return collect