def split_variables(graph, lvars, DU, UD):
variables = group_variables(lvars, DU, UD)
if lvars:
nb_vars = max(lvars) + 1
else:
nb_vars = 0
for var, versions in variables.items():
nversions = len(versions)
if nversions == 1:
continue
orig_var = lvars.pop(var)
for i, (defs, uses) in enumerate(versions):
if min(defs) < 0: # Param
if orig_var.this:
new_version = ThisParam(var, orig_var.type)
else:
new_version = Param(var, orig_var.type)
lvars[var] = new_version
else:
new_version = Variable(nb_vars)
new_version.type = orig_var.type
lvars[nb_vars] = new_version # add new version to variables
nb_vars += 1
new_version.name = '%d_%d' % (var, i)
for loc in defs:
if loc < 0:
continue
ins = graph.get_ins_from_loc(loc)
curlhs = ins.var_map[ins.get_lhs()]
if isinstance(curlhs, Variable):
lhsType = ins.var_map[ins.get_lhs()].get_type_with_ins(ins)
else:
lhsType = orig_var.type
new_version.type = lhsType
ins.replace_lhs(new_version)
DU[(new_version.value(), loc)] = DU.pop((var, loc))
for loc in uses:
ins = graph.get_ins_from_loc(loc)
ins.replace_var(var, new_version)
UD[(new_version.value(), loc)] = UD.pop((var, loc))
def split_variables(graph, lvars, DU, UD):
variables = group_variables(lvars, DU, UD)
if lvars:
nb_vars = max(lvars) + 1
else:
nb_vars = 0
for var, versions in variables.items():
nversions = len(versions)
if nversions == 1:
continue
orig_var = lvars.pop(var)
for i, (defs, uses) in enumerate(versions):
if min(defs) < 0: # Param
if orig_var.this:
new_version = ThisParam(var, orig_var.type)
else:
new_version = Param(var, orig_var.type)
lvars[var] = new_version
else:
new_version = Variable(nb_vars)
new_version.type = orig_var.type
lvars[nb_vars] = new_version # add new version to variables
nb_vars += 1
new_version.name = '%d_%d' % (var, i)
for loc in defs:
if loc < 0:
continue
ins = graph.get_ins_from_loc(loc)
ins.replace_lhs(new_version)
DU[(new_version.value(), loc)] = DU.pop((var, loc))
for loc in uses:
ins = graph.get_ins_from_loc(loc)
ins.replace_var(var, new_version)
UD[(new_version.value(), loc)] = UD.pop((var, loc))
def split_variables(graph, lvars, DU, UD):
treated = defaultdict(list)
variables = defaultdict(list)
for var, loc in sorted(DU):
if var not in lvars:
continue
if loc in treated[var]:
continue
defs = [loc]
uses = set(DU[(var, loc)])
change = True
while change:
change = False
for use in uses:
ldefs = UD[(var, use)]
for ldef in ldefs:
if ldef not in defs:
defs.append(ldef)
change = True
for ldef in defs[1:]:
luses = set(DU[(var, ldef)])
for use in luses:
if use not in uses:
uses.add(use)
change = True
treated[var].extend(defs)
variables[var].append((defs, list(uses)))
if lvars:
nb_vars = max(lvars) + 1
else:
nb_vars = 0
for var, versions in variables.iteritems():
nversions = len(versions)
if nversions == 1:
continue
orig_var = lvars.pop(var)
for i, (defs, uses) in enumerate(versions):
if min(defs) < 0: # Param
if orig_var.this:
new_version = ThisParam(var, orig_var.type)
else:
new_version = Param(var, orig_var.type)
lvars[var] = new_version
else:
new_version = Variable(nb_vars)
new_version.type = orig_var.type
lvars[nb_vars] = new_version # add new version to variables
nb_vars += 1
new_version.name = '%d_%d' % (var, i)
for loc in defs:
if loc < 0:
continue
ins = graph.get_ins_from_loc(loc)
ins.replace_lhs(new_version)
DU[(new_version.value(), loc)] = DU.pop((var, loc))
for loc in uses:
ins = graph.get_ins_from_loc(loc)
ins.replace_var(var, new_version)
UD[(new_version.value(), loc)] = UD.pop((var, loc))