def check_malloc_removal(function, types, args, expected_result, must_remove=True):
t = TranslationContext()
t.buildannotator().build_types(function, types)
t.buildrtyper().specialize()
interp = LLInterpreter(t.rtyper)
graph = graphof(t, function)
res = interp.eval_graph(graph, args)
assert res == expected_result
malloc_to_stack(t)
if must_remove:
for block in graph.iterblocks():
for op in block.operations:
assert op.opname != "malloc"
res = interp.eval_graph(graph, args)
assert res == expected_result
return t
def check_malloc_removal(function, types, args, expected_result, must_remove=True):
t = TranslationContext()
t.buildannotator().build_types(function, types)
t.buildrtyper().specialize()
interp = LLInterpreter(t.rtyper)
graph = graphof(t, function)
res = interp.eval_graph(graph, args)
assert res == expected_result
malloc_to_stack(t)
if must_remove:
for block in graph.iterblocks():
for op in block.operations:
if op.opname == "malloc":
assert op.args[1].value['flavor'] == 'stack'
res = interp.eval_graph(graph, args)
assert res == expected_result
return t
def backend_optimizations(translator, graphs=None, secondary=False, **kwds):
# sensible keywords are
# raisingop2direct_call, inline_threshold, mallocs
# merge_if_blocks, constfold, heap2stack
# clever_malloc_removal, remove_asserts
config = translator.config.translation.backendopt.copy(as_default=True)
config.set(**kwds)
if graphs is None:
graphs = translator.graphs
if config.print_statistics:
print "before optimizations:"
print_statistics(translator.graphs[0], translator, "per-graph.txt")
if config.raisingop2direct_call:
raisingop2direct_call(translator, graphs)
if translator.rtyper.type_system.name == 'ootypesystem':
check_virtual_methods()
# remove obvious no-ops
for graph in graphs:
removenoops.remove_same_as(graph)
simplify.eliminate_empty_blocks(graph)
simplify.transform_dead_op_vars(graph, translator)
removenoops.remove_duplicate_casts(graph, translator)
if config.print_statistics:
print "after no-op removal:"
print_statistics(translator.graphs[0], translator)
if config.inline or config.mallocs:
heuristic = get_function(config.inline_heuristic)
if config.inline:
threshold = config.inline_threshold
else:
threshold = 0
inline_malloc_removal_phase(config, translator, graphs,
threshold,
inline_heuristic=heuristic)
constfold(config, graphs)
if config.clever_malloc_removal:
threshold = config.clever_malloc_removal_threshold
heuristic = get_function(config.clever_malloc_removal_heuristic)
log.inlineandremove("phase with threshold factor: %s" % threshold)
log.inlineandremove("heuristic: %s.%s" % (heuristic.__module__,
heuristic.__name__))
count = mallocprediction.clever_inlining_and_malloc_removal(
translator, graphs,
threshold = threshold,
heuristic=heuristic)
log.inlineandremove("removed %d simple mallocs in total" % count)
constfold(config, graphs)
if config.print_statistics:
print "after clever inlining and malloc removal"
print_statistics(translator.graphs[0], translator)
if config.profile_based_inline and not secondary:
threshold = config.profile_based_inline_threshold
heuristic = get_function(config.profile_based_inline_heuristic)
inline.instrument_inline_candidates(graphs, threshold)
counters = translator.driver_instrument_result(
config.profile_based_inline)
n = len(counters)
def call_count_pred(label):
if label >= n:
return False
return counters[label] > 250 # xxx introduce an option for this
inline_malloc_removal_phase(config, translator, graphs,
threshold,
inline_heuristic=heuristic,
call_count_pred=call_count_pred)
constfold(config, graphs)
if config.remove_asserts:
remove_asserts(translator, graphs)
if config.heap2stack:
assert graphs is translator.graphs # XXX for now
malloc_to_stack(translator)
if config.merge_if_blocks:
log.mergeifblocks("starting to merge if blocks")
for graph in graphs:
merge_if_blocks(graph, translator.config.translation.verbose)
if config.print_statistics:
print "after if-to-switch:"
print_statistics(translator.graphs[0], translator)
for graph in graphs:
checkgraph(graph)
def backend_optimizations(translator, graphs=None, secondary=False, **kwds):
# sensible keywords are
# raisingop2direct_call, inline_threshold, mallocs
# merge_if_blocks, constfold, heap2stack
# clever_malloc_removal, remove_asserts
config = translator.config.translation.backendopt.copy(as_default=True)
config.set(**kwds)
if graphs is None:
graphs = translator.graphs
for graph in graphs:
assert not hasattr(graph, '_seen_by_the_backend')
if config.print_statistics:
print "before optimizations:"
print_statistics(translator.graphs[0], translator, "per-graph.txt")
if config.raisingop2direct_call:
raisingop2direct_call(translator, graphs)
if translator.rtyper.type_system.name == 'ootypesystem':
check_virtual_methods()
# remove obvious no-ops
def remove_obvious_noops():
for graph in graphs:
removenoops.remove_same_as(graph)
simplify.eliminate_empty_blocks(graph)
simplify.transform_dead_op_vars(graph, translator)
removenoops.remove_duplicate_casts(graph, translator)
if config.print_statistics:
print "after no-op removal:"
print_statistics(translator.graphs[0], translator)
remove_obvious_noops()
if config.inline or config.mallocs:
heuristic = get_function(config.inline_heuristic)
if config.inline:
threshold = config.inline_threshold
else:
threshold = 0
inline_malloc_removal_phase(config, translator, graphs,
threshold,
inline_heuristic=heuristic)
constfold(config, graphs)
if config.clever_malloc_removal:
threshold = config.clever_malloc_removal_threshold
heuristic = get_function(config.clever_malloc_removal_heuristic)
log.inlineandremove("phase with threshold factor: %s" % threshold)
log.inlineandremove("heuristic: %s.%s" % (heuristic.__module__,
heuristic.__name__))
count = mallocprediction.clever_inlining_and_malloc_removal(
translator, graphs,
threshold = threshold,
heuristic=heuristic)
log.inlineandremove("removed %d simple mallocs in total" % count)
constfold(config, graphs)
if config.print_statistics:
print "after clever inlining and malloc removal"
print_statistics(translator.graphs[0], translator)
if config.profile_based_inline and not secondary:
threshold = config.profile_based_inline_threshold
heuristic = get_function(config.profile_based_inline_heuristic)
inline.instrument_inline_candidates(graphs, threshold)
counters = translator.driver_instrument_result(
config.profile_based_inline)
n = len(counters)
def call_count_pred(label):
if label >= n:
return False
return counters[label] > 250 # xxx introduce an option for this
inline_malloc_removal_phase(config, translator, graphs,
threshold,
inline_heuristic=heuristic,
call_count_pred=call_count_pred)
constfold(config, graphs)
if config.remove_asserts:
remove_asserts(translator, graphs)
if config.heap2stack:
assert graphs is translator.graphs # XXX for now
malloc_to_stack(translator)
if config.merge_if_blocks:
log.mergeifblocks("starting to merge if blocks")
for graph in graphs:
merge_if_blocks(graph, translator.config.translation.verbose)
if config.print_statistics:
print "after if-to-switch:"
print_statistics(translator.graphs[0], translator)
remove_obvious_noops()
for graph in graphs:
checkgraph(graph)