def get_runner(f, exceptedop, types):
values = [t() for t in types]
interp, graph = get_interpreter(f, values)
for op in support.graph_operations(graph):
if op.opname == exceptedop:
break
else:
assert False, "op %r not found!"%(exceptedop,)
t = interp.typer.annotator.translator # FIIISH!
raisingop2direct_call.raisingop2direct_call(t, [graph])
def ret(*args):
assert map(type, args) == types
return interp.eval_graph(graph, args)
return ret
def backend_optimizations(translator, graphs=None, secondary=False,
inline_graph_from_anywhere=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 config.remove_asserts:
constfold(config, graphs)
remove_asserts(translator, graphs)
if config.really_remove_asserts:
for graph in graphs:
removenoops.remove_debug_assert(graph)
# the dead operations will be killed by the remove_obvious_noops below
# 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,
inline_graph_from_anywhere=inline_graph_from_anywhere)
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.storesink:
for graph in graphs:
storesink_graph(graph)
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.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)
gilanalysis.analyze(graphs, translator)
def backend_optimizations(translator,
graphs=None,
secondary=False,
inline_graph_from_anywhere=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 config.remove_asserts:
constfold(config, graphs)
remove_asserts(translator, graphs)
if config.really_remove_asserts:
for graph in graphs:
removenoops.remove_debug_assert(graph)
# the dead operations will be killed by the remove_obvious_noops below
# 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,
inline_graph_from_anywhere=inline_graph_from_anywhere)
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.storesink:
for graph in graphs:
storesink_graph(graph)
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.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)
gilanalysis.analyze(graphs, translator)