incomp-flame-post/code/code_gen/post.py

252 lines
6.1 KiB
Python

from lark import Lark, Visitor, Transformer, v_args, Token
class ExpInspector(Visitor):
def __init__(self):
self.fluctuation = False
self.dep = set([])
self.deriv = set([])
@classmethod
def inspect(cls, tree):
self = cls()
return self(tree)
def __call__(self, tree):
self.visit(tree)
return self.fluctuation, self.dep, self.deriv
def fluc(self, tree):
self.fluctuation = True
self.dep.add(tree.children[0].value)
def var(self, tree):
self.dep.add(tree.children[0].value)
def dnx (self, tree):
op, v = tree.children
deriv = "{}_{}".format(op.data, v.value)
self.dep.add(deriv)
self.deriv.add((op.data, v.value))
class FieldBase (object):
def __init__ (self, name, fdict):
self.name = name
self.array = name
self.dep = set([])
self.fluc = False
self.fdict = fdict
def depends_on (self, a):
return (a in self.dep)
def is_fluctuation (self):
return False
def __repr__ (self):
return self.name
def checkFluctuation (self):
fset = set([])
if self.is_fluctuation():
fset.add(self.name)
for d in map(self.fdict.get, self.dep):
fset.update(d.checkFluctuation())
if len(fset) > 0:
fset.add(self.name)
return fset
class Field (FieldBase):
def __init__ (self, name, exp, fdict):
super(Field,self).__init__(name, fdict)
self.exp = exp
self.fluc, self.dep, self.derivs = ExpInspector.inspect(exp)
'''
for a in self.dep:
if a not in self.fdict:
raise StandardError(a + " is not defined")
'''
def is_fluctuation (self):
return self.fluc
def code (self, alloc):
transform(self.exp)
return (a in self.dep)
class PrimaryField (FieldBase):
def __init__ (self, name, fdict):
super(PrimaryField,self).__init__(name, fdict)
self.derivs = set([])
def code (self):
return ""
class DerivedField (FieldBase):
def __init__ (self, op, v, fdict):
name = "{}_{}".format(op, v)
super(DerivedField,self).__init__(name, fdict)
self.op = op
self.v = v
self.dep = set([v])
def code (self):
return "call {0} ( {2}, {1} )".format(self.op, self.v, self.array)
class AveragedField (FieldBase):
def __init__ (self, w, tgt, fdict):
if w:
name = "{}_avg_{}".format(w, tgt)
else:
name = "avg_{}".format(tgt)
super(AveragedField,self).__init__(name, fdict)
self.tgt = fdict[tgt]
self.dep.add(tgt)
self.weighted = False
if w:
self.weighted = True
self.w = fdict[w]
self.dep.add(w)
self.fset = self.checkFluctuation() - set([self.name])
def isWeighted (self):
return self.weighted
def pass1 (self):
return not self.pass2()
def pass2 (self):
return len(self.fset) > 0
class CollectDefinitions(Visitor):
def __init__ (self, primary, derived, averaged):
self.primary = primary
self.derived = derived
self.averaged = averaged
def varlist(self, tree):
for v in tree.children:
self.primary.add(v.value)
self.derived[v.value] = PrimaryField(v.value, self.derived)
def assign_var (self, tree):
lval, rval = tree.children
if lval.value in self.derived:
raise StandardError("duplicate definition of " + lval)
self.derived[lval.value] = Field(lval.value, rval, self.derived)
def assign_avg_var (self, tree):
w = tree.children[0]
targets = tree.children[1:]
try:
self.averaged[w.children[0].value] = set([x.value for x in targets])
except IndexError:
self.averaged[None] = set([x.value for x in targets])
class Stage1():
''' conversion from tree to python data '''
def __init__ (self, raw_tree):
self.primary = set([])
self.derived = {}
self.averaged = {}
# Construct Field objects
CollectDefinitions( self.primary, self.derived, self.averaged ).visit(raw_tree)
def __repr__ (self):
return "\n".join(map(str, [self.primary, self.derived, self.averaged]))
class Stage2():
''' expand derivatives '''
def __init__ (self, src):
self.src = src
self.derived = src.derived
self.derivative = {}
self.averaged = {}
# Construct Derivative Field objects
dset = set([])
for k, v in self.derived.iteritems():
dset.update(v.derivs)
for tup in dset:
a = DerivedField(tup[0], tup[1], self.derived)
self.derived[a.name] = a
self.derivative[tup] = a
# Construct Derivative Field objects
for w, tgts in src.averaged.iteritems():
for t in tgts:
a = AveragedField(w, t, self.derived)
self.averaged[a.name] = a
def __repr__ (self):
return "\n".join(map(str, [self.derived, self.derivative, self.averaged]))
def dependency (self):
dgraph = {}
for k,v in self.derived.iteritems():
dgraph[k] = v.dep
for k,v in self.averaged.iteritems():
dgraph[k] = v.dep
return dgraph
class Stage3():
''' calculate execution order '''
def __init__ (self, src):
self.src = src
self.derived = src.derived
self.averaged = src.averaged
self.dependency = src.dependency()
pass1set = filter(AveragedField.pass1, self.averaged.values())
pass2set = filter(AveragedField.pass2, self.averaged.values())
print pass1set
print pass2set
def __repr__ (self):
return "\n".join(map(str, [self.derived, self.derivative]))
class Stage4():
''' analyze liveness and allocate array '''
class Stage5():
''' pass1 and pass2 seperation and calculation ordering '''
class Stage6():
''' generate fortran code '''