class SchedulerBaseTest(DependencyBaseTest):
def setup_class(self):
self.namespace = {
'double': self.floatarraydescr,
'float': self.float32arraydescr,
'long': self.arraydescr,
'int': self.int32arraydescr,
'short': self.int16arraydescr,
'char': self.chararraydescr,
}
def setup_method(self, name):
self.vector_ext = VectorExt()
self.vector_ext.enable(16, True)
def pack(self, loop, l, r, input_type=None, output_type=None):
return Pack(loop.graph.nodes[l:r])
def schedule(self,
loop,
packs,
vec_reg_size=16,
prepend_invariant=False,
overwrite_funcs=None):
cm = GenericCostModel(self.cpu, 0)
cm.profitable = lambda: True
pairs = []
for pack in packs:
for i in range(len(pack.operations) - 1):
o1 = pack.operations[i]
o2 = pack.operations[i + 1]
pair = Pair(o1, o2)
pairs.append(pair)
packset = FakePackSet(pairs)
state = VecScheduleState(loop.graph, packset, self.cpu, cm)
for name, overwrite in (overwrite_funcs or {}).items():
setattr(state, name, overwrite)
renamer = Renamer()
metainterp_sd = FakeMetaInterpStaticData(self.cpu)
jitdriver_sd = FakeJitDriverStaticData()
opt = VectorizingOptimizer(metainterp_sd, jitdriver_sd, 0)
opt.packset = packset
opt.combine_packset()
opt.schedule(state)
# works for now. might be the wrong class?
# wrap label + operations + jump it in tree loop otherwise
loop = state.graph.loop
if prepend_invariant:
loop.operations = loop.prefix + loop.operations
return loop
class SchedulerBaseTest(DependencyBaseTest):
def setup_class(self):
self.namespace = {
'double': self.floatarraydescr,
'float': self.float32arraydescr,
'long': self.arraydescr,
'int': self.int32arraydescr,
'short': self.int16arraydescr,
'char': self.chararraydescr,
}
def setup_method(self, name):
self.vector_ext = VectorExt()
self.vector_ext.enable(16, True)
def pack(self, loop, l, r, input_type=None, output_type=None):
return Pack(loop.graph.nodes[l:r])
def schedule(self, loop, packs, vec_reg_size=16,
prepend_invariant=False, overwrite_funcs=None):
cm = GenericCostModel(self.cpu, 0)
cm.profitable = lambda: True
pairs = []
for pack in packs:
for i in range(len(pack.operations)-1):
o1 = pack.operations[i]
o2 = pack.operations[i+1]
pair = Pair(o1,o2)
pairs.append(pair)
packset = FakePackSet(pairs)
state = VecScheduleState(loop.graph, packset, self.cpu, cm)
for name, overwrite in (overwrite_funcs or {}).items():
setattr(state, name, overwrite)
renamer = Renamer()
metainterp_sd = FakeMetaInterpStaticData(self.cpu)
jitdriver_sd = FakeJitDriverStaticData()
opt = VectorizingOptimizer(metainterp_sd, jitdriver_sd, 0)
opt.packset = packset
opt.combine_packset()
opt.schedule(state)
# works for now. might be the wrong class?
# wrap label + operations + jump it in tree loop otherwise
loop = state.graph.loop
if prepend_invariant:
loop.operations = loop.prefix + loop.operations
return loop
def setup_method(self, name):
self.vector_ext = VectorExt()
self.vector_ext.enable(16, True)
def setup_method(self, name):
self.vector_ext = VectorExt()
self.vector_ext.enable(16, True)