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from rpython.jit.codewriter.effectinfo import EffectInfo
from rpython.jit.metainterp import compile
from rpython.jit.metainterp.history import (Const, ConstInt, BoxInt, BoxFloat,
BoxPtr, make_hashable_int)
from rpython.jit.metainterp.optimize import InvalidLoop
from rpython.jit.metainterp.optimizeopt.intutils import IntBound
from rpython.jit.metainterp.optimizeopt.optimizer import (Optimization, REMOVED,
CONST_0, CONST_1)
from rpython.jit.metainterp.optimizeopt.util import _findall, make_dispatcher_method
from rpython.jit.metainterp.resoperation import (opboolinvers, opboolreflex, rop,
ResOperation)
from rpython.rlib.rarithmetic import highest_bit
class OptRewrite(Optimization):
"""Rewrite operations into equivalent, cheaper operations.
This includes already executed operations and constants.
"""
def __init__(self):
self.loop_invariant_results = {}
self.loop_invariant_producer = {}
def produce_potential_short_preamble_ops(self, sb):
for op in self.loop_invariant_producer.values():
sb.add_potential(op)
def propagate_forward(self, op):
args = self.optimizer.make_args_key(op)
if self.find_rewritable_bool(op, args):
return
dispatch_opt(self, op)
def try_boolinvers(self, op, targs):
oldop = self.get_pure_result(targs)
if oldop is not None and oldop.getdescr() is op.getdescr():
value = self.getvalue(oldop.result)
if value.is_constant():
if value.box.same_constant(CONST_1):
self.make_constant(op.result, CONST_0)
return True
elif value.box.same_constant(CONST_0):
self.make_constant(op.result, CONST_1)
return True
return False
def find_rewritable_bool(self, op, args):
try:
oldopnum = opboolinvers[op.getopnum()]
except KeyError:
pass
else:
targs = self.optimizer.make_args_key(ResOperation(oldopnum, [args[0], args[1]],
None))
if self.try_boolinvers(op, targs):
return True
try:
oldopnum = opboolreflex[op.getopnum()] # FIXME: add INT_ADD, INT_MUL
except KeyError:
pass
else:
targs = self.optimizer.make_args_key(ResOperation(oldopnum, [args[1], args[0]],
None))
oldop = self.get_pure_result(targs)
if oldop is not None and oldop.getdescr() is op.getdescr():
self.make_equal_to(op.result, self.getvalue(oldop.result))
return True
try:
oldopnum = opboolinvers[opboolreflex[op.getopnum()]]
except KeyError:
pass
else:
targs = self.optimizer.make_args_key(ResOperation(oldopnum, [args[1], args[0]],
None))
if self.try_boolinvers(op, targs):
return True
return False
def optimize_INT_AND(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v1.is_null() or v2.is_null():
self.make_constant_int(op.result, 0)
return
elif v2.is_constant():
val = v2.box.getint()
if val == -1 or v1.intbound.lower >= 0 \
and v1.intbound.upper <= val & ~(val + 1):
self.make_equal_to(op.result, v1)
return
elif v1.is_constant():
val = v1.box.getint()
if val == -1 or v2.intbound.lower >= 0 \
and v2.intbound.upper <= val & ~(val + 1):
self.make_equal_to(op.result, v2)
return
self.emit_operation(op)
def optimize_INT_OR(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v1.is_null():
self.make_equal_to(op.result, v2)
elif v2.is_null():
self.make_equal_to(op.result, v1)
else:
self.emit_operation(op)
def optimize_INT_SUB(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v2.is_constant() and v2.box.getint() == 0:
self.make_equal_to(op.result, v1)
elif v1.is_constant() and v1.box.getint() == 0:
op = op.copy_and_change(rop.INT_NEG, args=[v2.box])
self.emit_operation(op)
elif v1 is v2:
self.make_constant_int(op.result, 0)
else:
self.emit_operation(op)
# Synthesize the reverse ops for optimize_default to reuse
self.pure(rop.INT_ADD, [op.result, op.getarg(1)], op.getarg(0))
self.pure(rop.INT_SUB, [op.getarg(0), op.result], op.getarg(1))
def optimize_INT_ADD(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
# If one side of the op is 0 the result is the other side.
if v1.is_constant() and v1.box.getint() == 0:
self.make_equal_to(op.result, v2)
elif v2.is_constant() and v2.box.getint() == 0:
self.make_equal_to(op.result, v1)
else:
self.emit_operation(op)
self.pure(rop.INT_ADD, [op.getarg(1), op.getarg(0)], op.result)
# Synthesize the reverse op for optimize_default to reuse
self.pure(rop.INT_SUB, [op.result, op.getarg(1)], op.getarg(0))
self.pure(rop.INT_SUB, [op.result, op.getarg(0)], op.getarg(1))
def optimize_INT_MUL(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
# If one side of the op is 1 the result is the other side.
if v1.is_constant() and v1.box.getint() == 1:
self.make_equal_to(op.result, v2)
elif v2.is_constant() and v2.box.getint() == 1:
self.make_equal_to(op.result, v1)
elif (v1.is_constant() and v1.box.getint() == 0) or \
(v2.is_constant() and v2.box.getint() == 0):
self.make_constant_int(op.result, 0)
else:
for lhs, rhs in [(v1, v2), (v2, v1)]:
if lhs.is_constant():
x = lhs.box.getint()
# x & (x - 1) == 0 is a quick test for power of 2
if x & (x - 1) == 0:
new_rhs = ConstInt(highest_bit(lhs.box.getint()))
op = op.copy_and_change(rop.INT_LSHIFT, args=[rhs.box, new_rhs])
break
self.emit_operation(op)
def optimize_UINT_FLOORDIV(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v2.is_constant() and v2.box.getint() == 1:
self.make_equal_to(op.result, v1)
else:
self.emit_operation(op)
def optimize_INT_LSHIFT(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v2.is_constant() and v2.box.getint() == 0:
self.make_equal_to(op.result, v1)
elif v1.is_constant() and v1.box.getint() == 0:
self.make_constant_int(op.result, 0)
else:
self.emit_operation(op)
def optimize_INT_RSHIFT(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v2.is_constant() and v2.box.getint() == 0:
self.make_equal_to(op.result, v1)
elif v1.is_constant() and v1.box.getint() == 0:
self.make_constant_int(op.result, 0)
else:
self.emit_operation(op)
def optimize_INT_XOR(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v1.is_constant() and v1.box.getint() == 0:
self.make_equal_to(op.result, v2)
elif v2.is_constant() and v2.box.getint() == 0:
self.make_equal_to(op.result, v1)
else:
self.emit_operation(op)
def optimize_FLOAT_MUL(self, op):
arg1 = op.getarg(0)
arg2 = op.getarg(1)
# Constant fold f0 * 1.0 and turn f0 * -1.0 into a FLOAT_NEG, these
# work in all cases, including NaN and inf
for lhs, rhs in [(arg1, arg2), (arg2, arg1)]:
v1 = self.getvalue(lhs)
v2 = self.getvalue(rhs)
if v1.is_constant():
if v1.box.getfloat() == 1.0:
self.make_equal_to(op.result, v2)
return
elif v1.box.getfloat() == -1.0:
self.emit_operation(ResOperation(
rop.FLOAT_NEG, [rhs], op.result
))
return
self.emit_operation(op)
self.pure(rop.FLOAT_MUL, [arg2, arg1], op.result)
def optimize_FLOAT_NEG(self, op):
v1 = op.getarg(0)
self.emit_operation(op)
self.pure(rop.FLOAT_NEG, [op.result], v1)
def optimize_guard(self, op, constbox, emit_operation=True):
value = self.getvalue(op.getarg(0))
if value.is_constant():
box = value.box
assert isinstance(box, Const)
if not box.same_constant(constbox):
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_{VALUE,TRUE,FALSE} (%s) was proven '
'to always fail' % r)
return
if emit_operation:
self.emit_operation(op)
value.make_constant(constbox)
self.optimizer.turned_constant(value)
def optimize_GUARD_ISNULL(self, op):
value = self.getvalue(op.getarg(0))
if value.is_null():
return
elif value.is_nonnull():
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_ISNULL (%s) was proven to always fail'
% r)
self.emit_operation(op)
value.make_constant(self.optimizer.cpu.ts.CONST_NULL)
def optimize_GUARD_NONNULL(self, op):
value = self.getvalue(op.getarg(0))
if value.is_nonnull():
return
elif value.is_null():
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_NONNULL (%s) was proven to always fail'
% r)
self.emit_operation(op)
value.make_nonnull(op)
def optimize_GUARD_VALUE(self, op):
value = self.getvalue(op.getarg(0))
if value.is_virtual():
arg = value.get_constant_class(self.optimizer.cpu)
if arg:
addr = arg.getaddr()
name = self.optimizer.metainterp_sd.get_name_from_address(addr)
else:
name = "<unknown>"
raise InvalidLoop('A promote of a virtual %s (a recently allocated object) never makes sense!' % name)
if value.last_guard:
# there already has been a guard_nonnull or guard_class or
# guard_nonnull_class on this value, which is rather silly.
# replace the original guard with a guard_value
old_guard_op = value.last_guard
if old_guard_op.getopnum() != rop.GUARD_NONNULL:
# This is only safe if the class of the guard_value matches the
# class of the guard_*_class, otherwise the intermediate ops might
# be executed with wrong classes.
previous_classbox = value.get_constant_class(self.optimizer.cpu)
expected_classbox = self.optimizer.cpu.ts.cls_of_box(op.getarg(1))
assert previous_classbox is not None
assert expected_classbox is not None
if not previous_classbox.same_constant(expected_classbox):
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_VALUE (%s) was proven to always fail' % r)
op = old_guard_op.copy_and_change(rop.GUARD_VALUE,
args = [old_guard_op.getarg(0), op.getarg(1)])
self.optimizer.replaces_guard[op] = old_guard_op
# hack hack hack. Change the guard_opnum on
# new_guard_op.getdescr() so that when resuming,
# the operation is not skipped by pyjitpl.py.
descr = op.getdescr()
assert isinstance(descr, compile.ResumeGuardDescr)
descr.guard_opnum = rop.GUARD_VALUE
descr.make_a_counter_per_value(op)
# to be safe
value.last_guard = None
constbox = op.getarg(1)
assert isinstance(constbox, Const)
self.optimize_guard(op, constbox)
def optimize_GUARD_TRUE(self, op):
self.optimize_guard(op, CONST_1)
def optimize_GUARD_FALSE(self, op):
self.optimize_guard(op, CONST_0)
def optimize_RECORD_KNOWN_CLASS(self, op):
value = self.getvalue(op.getarg(0))
expectedclassbox = op.getarg(1)
assert isinstance(expectedclassbox, Const)
realclassbox = value.get_constant_class(self.optimizer.cpu)
if realclassbox is not None:
assert realclassbox.same_constant(expectedclassbox)
return
value.make_constant_class(expectedclassbox, None)
def optimize_GUARD_CLASS(self, op):
value = self.getvalue(op.getarg(0))
expectedclassbox = op.getarg(1)
assert isinstance(expectedclassbox, Const)
realclassbox = value.get_constant_class(self.optimizer.cpu)
if realclassbox is not None:
if realclassbox.same_constant(expectedclassbox):
return
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_CLASS (%s) was proven to always fail'
% r)
if value.last_guard:
# there already has been a guard_nonnull or guard_class or
# guard_nonnull_class on this value.
old_guard_op = value.last_guard
if old_guard_op.getopnum() == rop.GUARD_NONNULL:
# it was a guard_nonnull, which we replace with a
# guard_nonnull_class.
op = old_guard_op.copy_and_change (rop.GUARD_NONNULL_CLASS,
args = [old_guard_op.getarg(0), op.getarg(1)])
self.optimizer.replaces_guard[op] = old_guard_op
# hack hack hack. Change the guard_opnum on
# new_guard_op.getdescr() so that when resuming,
# the operation is not skipped by pyjitpl.py.
descr = op.getdescr()
assert isinstance(descr, compile.ResumeGuardDescr)
descr.guard_opnum = rop.GUARD_NONNULL_CLASS
self.emit_operation(op)
value.make_constant_class(expectedclassbox, op)
def optimize_GUARD_NONNULL_CLASS(self, op):
value = self.getvalue(op.getarg(0))
if value.is_null():
r = self.optimizer.metainterp_sd.logger_ops.repr_of_resop(op)
raise InvalidLoop('A GUARD_NONNULL_CLASS (%s) was proven to '
'always fail' % r)
self.optimize_GUARD_CLASS(op)
def optimize_CALL_LOOPINVARIANT(self, op):
arg = op.getarg(0)
# 'arg' must be a Const, because residual_call in codewriter
# expects a compile-time constant
assert isinstance(arg, Const)
key = make_hashable_int(arg.getint())
resvalue = self.loop_invariant_results.get(key, None)
if resvalue is not None:
self.make_equal_to(op.result, resvalue)
self.last_emitted_operation = REMOVED
return
# change the op to be a normal call, from the backend's point of view
# there is no reason to have a separate operation for this
self.loop_invariant_producer[key] = op
op = op.copy_and_change(rop.CALL)
self.emit_operation(op)
resvalue = self.getvalue(op.result)
self.loop_invariant_results[key] = resvalue
def optimize_COND_CALL(self, op):
arg = op.getarg(0)
val = self.getvalue(arg)
if val.is_constant():
if val.box.same_constant(CONST_0):
self.last_emitted_operation = REMOVED
return
op = op.copy_and_change(rop.CALL, args=op.getarglist()[1:])
self.emit_operation(op)
def _optimize_nullness(self, op, box, expect_nonnull):
value = self.getvalue(box)
if value.is_nonnull():
self.make_constant_int(op.result, expect_nonnull)
elif value.is_null():
self.make_constant_int(op.result, not expect_nonnull)
else:
self.emit_operation(op)
def optimize_INT_IS_TRUE(self, op):
if self.getvalue(op.getarg(0)) in self.optimizer.bool_boxes:
self.make_equal_to(op.result, self.getvalue(op.getarg(0)))
return
self._optimize_nullness(op, op.getarg(0), True)
def optimize_INT_IS_ZERO(self, op):
self._optimize_nullness(op, op.getarg(0), False)
def _optimize_oois_ooisnot(self, op, expect_isnot, instance):
value0 = self.getvalue(op.getarg(0))
value1 = self.getvalue(op.getarg(1))
if value0.is_virtual():
if value1.is_virtual():
intres = (value0 is value1) ^ expect_isnot
self.make_constant_int(op.result, intres)
else:
self.make_constant_int(op.result, expect_isnot)
elif value1.is_virtual():
self.make_constant_int(op.result, expect_isnot)
elif value1.is_null():
self._optimize_nullness(op, op.getarg(0), expect_isnot)
elif value0.is_null():
self._optimize_nullness(op, op.getarg(1), expect_isnot)
elif value0 is value1:
self.make_constant_int(op.result, not expect_isnot)
else:
if instance:
cls0 = value0.get_constant_class(self.optimizer.cpu)
if cls0 is not None:
cls1 = value1.get_constant_class(self.optimizer.cpu)
if cls1 is not None and not cls0.same_constant(cls1):
# cannot be the same object, as we know that their
# class is different
self.make_constant_int(op.result, expect_isnot)
return
self.emit_operation(op)
def optimize_PTR_EQ(self, op):
self._optimize_oois_ooisnot(op, False, False)
def optimize_PTR_NE(self, op):
self._optimize_oois_ooisnot(op, True, False)
def optimize_INSTANCE_PTR_EQ(self, op):
self._optimize_oois_ooisnot(op, False, True)
def optimize_INSTANCE_PTR_NE(self, op):
self._optimize_oois_ooisnot(op, True, True)
def optimize_CALL(self, op):
# dispatch based on 'oopspecindex' to a method that handles
# specifically the given oopspec call. For non-oopspec calls,
# oopspecindex is just zero.
effectinfo = op.getdescr().get_extra_info()
oopspecindex = effectinfo.oopspecindex
if oopspecindex == EffectInfo.OS_ARRAYCOPY:
if self._optimize_CALL_ARRAYCOPY(op):
return
self.emit_operation(op)
def _optimize_CALL_ARRAYCOPY(self, op):
source_value = self.getvalue(op.getarg(1))
dest_value = self.getvalue(op.getarg(2))
source_start_box = self.get_constant_box(op.getarg(3))
dest_start_box = self.get_constant_box(op.getarg(4))
length = self.get_constant_box(op.getarg(5))
extrainfo = op.getdescr().get_extra_info()
if (source_start_box and dest_start_box
and length and (dest_value.is_virtual() or length.getint() <= 8) and
(source_value.is_virtual() or length.getint() <= 8) and
len(extrainfo.write_descrs_arrays) == 1): # <-sanity check
from rpython.jit.metainterp.optimizeopt.virtualize import VArrayValue
source_start = source_start_box.getint()
dest_start = dest_start_box.getint()
# XXX fish fish fish
arraydescr = extrainfo.write_descrs_arrays[0]
for index in range(length.getint()):
if source_value.is_virtual():
assert isinstance(source_value, VArrayValue)
val = source_value.getitem(index + source_start)
else:
if arraydescr.is_array_of_pointers():
resbox = BoxPtr()
elif arraydescr.is_array_of_floats():
resbox = BoxFloat()
else:
resbox = BoxInt()
newop = ResOperation(rop.GETARRAYITEM_GC,
[op.getarg(1),
ConstInt(index + source_start)], resbox,
descr=arraydescr)
self.optimizer.send_extra_operation(newop)
val = self.getvalue(resbox)
if dest_value.is_virtual():
dest_value.setitem(index + dest_start, val)
else:
newop = ResOperation(rop.SETARRAYITEM_GC,
[op.getarg(2),
ConstInt(index + dest_start),
val.get_key_box()], None,
descr=arraydescr)
self.emit_operation(newop)
return True
if length and length.getint() == 0:
return True # 0-length arraycopy
return False
def optimize_CALL_PURE(self, op):
# this removes a CALL_PURE with all constant arguments.
# Note that it's also done in pure.py. For now we need both...
result = self._can_optimize_call_pure(op)
if result is not None:
self.make_constant(op.result, result)
self.last_emitted_operation = REMOVED
return
self.emit_operation(op)
def optimize_GUARD_NO_EXCEPTION(self, op):
if self.last_emitted_operation is REMOVED:
# it was a CALL_PURE or a CALL_LOOPINVARIANT that was killed;
# so we also kill the following GUARD_NO_EXCEPTION
return
self.emit_operation(op)
def optimize_GUARD_FUTURE_CONDITION(self, op):
pass # just remove it
def optimize_INT_FLOORDIV(self, op):
v1 = self.getvalue(op.getarg(0))
v2 = self.getvalue(op.getarg(1))
if v2.is_constant() and v2.box.getint() == 1:
self.make_equal_to(op.result, v1)
return
elif v1.is_constant() and v1.box.getint() == 0:
self.make_constant_int(op.result, 0)
return
if v1.intbound.known_ge(IntBound(0, 0)) and v2.is_constant():
val = v2.box.getint()
if val & (val - 1) == 0 and val > 0: # val == 2**shift
op = op.copy_and_change(rop.INT_RSHIFT,
args = [op.getarg(0), ConstInt(highest_bit(val))])
self.emit_operation(op)
def optimize_CAST_PTR_TO_INT(self, op):
self.pure(rop.CAST_INT_TO_PTR, [op.result], op.getarg(0))
self.emit_operation(op)
def optimize_CAST_INT_TO_PTR(self, op):
self.pure(rop.CAST_PTR_TO_INT, [op.result], op.getarg(0))
self.emit_operation(op)
def optimize_SAME_AS(self, op):
self.make_equal_to(op.result, self.getvalue(op.getarg(0)))
dispatch_opt = make_dispatcher_method(OptRewrite, 'optimize_',
default=OptRewrite.emit_operation)
optimize_guards = _findall(OptRewrite, 'optimize_', 'GUARD')
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