Add insturction semantics. Add semantics for vsplit,vconcat,iadd. Add initial tests
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Jakob Stoklund Olesen
parent
a12fa86e60
commit
a5fe64440f
170
lib/cretonne/meta/semantics/elaborate.py
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170
lib/cretonne/meta/semantics/elaborate.py
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"""
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Tools to elaborate a given Rtl with concrete types into its semantically
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equivalent primitive version. Its elaborated primitive version contains only
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primitive cretonne instructions, which map well to SMTLIB functions.
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"""
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from .primitives import GROUP as PRIMITIVES, prim_to_bv, prim_from_bv
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from cdsl.ti import ti_rtl, TypeEnv, get_type_env
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from cdsl.typevar import TypeVar
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try:
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from typing import TYPE_CHECKING, Dict, Union, List, Set, Tuple # noqa
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from cdsl.xform import Rtl, XForm # noqa
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from cdsl.ast import Var, Def, VarMap # noqa
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from cdsl.ti import VarTyping # noqa
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except ImportError:
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TYPE_CHECKING = False
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def is_rtl_concrete(r):
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# type: (Rtl) -> bool
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"""Return True iff every Var in the Rtl r has a single type."""
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return all(v.get_typevar().singleton_type() is not None for v in r.vars())
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def cleanup_concrete_rtl(r):
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# type: (Rtl) -> Rtl
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"""
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Given an Rtl r
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1) assert that there is only 1 possible concrete typing T for r
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2) Assign a singleton TV with the single type t \in T for each Var v \in r
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"""
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# 1) Infer the types of any of the remaining vars in res
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typenv = get_type_env(ti_rtl(r, TypeEnv()))
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typenv.normalize()
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typenv = typenv.extract()
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# 2) Make sure there is only one possible type assignment
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typings = list(typenv.concrete_typings())
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assert len(typings) == 1
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typing = typings[0]
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# 3) Assign the only possible type to each variable.
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for v in typenv.vars:
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if v.get_typevar().singleton_type() is not None:
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continue
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v.set_typevar(TypeVar.singleton(typing[v].singleton_type()))
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return r
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def apply(r, x, suffix=None):
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# type: (Rtl, XForm, str) -> Rtl
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"""
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Given a concrete Rtl r and XForm x, s.t. r matches x.src, return the
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corresponding concrete x.dst. If suffix is provided, any temporary defs are
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renamed with '.suffix' appended to their old name.
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"""
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assert is_rtl_concrete(r)
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s = x.src.substitution(r, {}) # type: VarMap
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assert s is not None
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if (suffix is not None):
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for v in x.dst.vars():
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if v.is_temp():
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assert v not in s
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s[v] = Var(v.name + '.' + suffix)
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dst = x.dst.copy(s)
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return cleanup_concrete_rtl(dst)
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def find_matching_xform(d):
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# type: (Def) -> XForm
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"""
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Given a concrete Def d, find the unique semantic XForm x in
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d.expr.inst.semantics that applies to it.
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"""
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res = [] # type: List[XForm]
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typing = {v: v.get_typevar() for v in d.vars()} # type: VarTyping
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for x in d.expr.inst.semantics:
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subst = d.substitution(x.src.rtl[0], {})
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if x.ti.permits({subst[v]: tv for (v, tv) in typing.items()}):
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res.append(x)
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assert len(res) == 1
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return res[0]
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def elaborate(r):
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# type: (Rtl) -> Rtl
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"""
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Given an Rtl r, return a semantically equivalent Rtl r1 consisting only
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primitive instructions.
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"""
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fp = False
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primitives = set(PRIMITIVES.instructions)
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idx = 0
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while not fp:
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assert is_rtl_concrete(r)
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new_defs = [] # type: List[Def]
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fp = True
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for d in r.rtl:
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inst = d.expr.inst
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if (inst not in primitives):
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transformed = apply(Rtl(d), find_matching_xform(d), str(idx))
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idx += 1
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new_defs.extend(transformed.rtl)
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fp = False
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else:
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new_defs.append(d)
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r.rtl = tuple(new_defs)
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return r
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def cleanup_semantics(r, outputs):
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# type: (Rtl, Set[Var]) -> Rtl
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"""
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The elaboration process creates a lot of redundant instruction pairs of the
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shape:
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a.0 << prim_from_bv(bva.0)
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...
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bva.1 << prim_to_bv(a.0)
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...
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Contract these to ease manual inspection.
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"""
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new_defs = [] # type: List[Def]
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subst_m = {v: v for v in r.vars()} # type: VarMap
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definition = {} # type: Dict[Var, Def]
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# Pass 1: Remove redundant prim_to_bv
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for d in r.rtl:
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inst = d.expr.inst
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if (inst == prim_to_bv):
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if d.expr.args[0] in definition:
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assert isinstance(d.expr.args[0], Var)
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def_loc = definition[d.expr.args[0]]
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if def_loc.expr.inst == prim_from_bv:
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assert isinstance(def_loc.expr.args[0], Var)
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subst_m[d.defs[0]] = def_loc.expr.args[0]
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continue
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new_def = d.copy(subst_m)
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for v in new_def.defs:
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assert v not in definition # Guaranteed by SSA
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definition[v] = new_def
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new_defs.append(new_def)
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# Pass 2: Remove dead prim_from_bv
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live = set(outputs) # type: Set[Var]
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for d in new_defs:
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live = live.union(d.uses())
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new_defs = [d for d in new_defs if not (d.expr.inst == prim_from_bv and
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d.defs[0] not in live)]
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return Rtl(*new_defs)
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