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from __future__ import with_statement
from rpython.jit.metainterp.optimizeopt.test.test_util import (
LLtypeMixin, BaseTest, Storage,
FakeMetaInterpStaticData)
from rpython.jit.metainterp.history import TreeLoop, JitCellToken, TargetToken
from rpython.jit.metainterp.resoperation import rop, opname, ResOperation
from rpython.jit.metainterp.optimize import InvalidLoop
from py.test import raises
from rpython.jit.metainterp.optimizeopt.optimizer import Optimization
from rpython.jit.metainterp.optimizeopt.util import make_dispatcher_method
from rpython.jit.metainterp.optimizeopt.heap import OptHeap
from rpython.jit.metainterp.optimizeopt.rewrite import OptRewrite
class BaseTestMultiLabel(BaseTest):
enable_opts = "intbounds:rewrite:virtualize:string:earlyforce:pure:heap:unroll"
def optimize_loop(self, ops, expected, expected_shorts=None):
loop = self.parse(ops)
if expected != "crash!":
expected = self.parse(expected)
part = TreeLoop('part')
part.inputargs = loop.inputargs
token = loop.original_jitcell_token
optimized = TreeLoop('optimized')
optimized.inputargs = loop.inputargs
optimized.operations = []
labels = [i for i, op in enumerate(loop.operations) \
if op.getopnum()==rop.LABEL]
prv = 0
last_label = []
state = None
for nxt in labels + [len(loop.operations)]:
assert prv != nxt
operations = last_label + loop.operations[prv:nxt]
if nxt < len(loop.operations):
label = loop.operations[nxt]
assert label.getopnum() == rop.LABEL
if label.getdescr() is None:
label.setdescr(token)
operations.append(label)
part.operations = operations
self.add_guard_future_condition(part)
state = self._do_optimize_loop(part, None, state,
export_state=True)
if part.operations[-1].getopnum() == rop.LABEL:
last_label = [part.operations.pop()]
else:
last_label = []
optimized.operations.extend(part.operations)
prv = nxt + 1
#
print
print "Optimized:"
if optimized.operations:
print '\n'.join([str(o) for o in optimized.operations])
else:
print 'Failed!'
print
shorts = [op.getdescr().short_preamble
for op in optimized.operations
if op.getopnum() == rop.LABEL]
if expected_shorts:
for short in shorts:
print
print "Short preamble:"
print '\n'.join([str(o) for o in short])
assert expected != "crash!", "should have raised an exception"
self.assert_equal(optimized, expected)
if expected_shorts:
assert len(shorts) == len(expected_shorts)
for short, expected_short in zip(shorts, expected_shorts):
expected_short = self.parse(expected_short)
short_preamble = TreeLoop('short preamble')
assert short[0].getopnum() == rop.LABEL
short_preamble.inputargs = short[0].getarglist()
short_preamble.operations = short
self.assert_equal(short_preamble, expected_short,
text_right='expected short preamble')
return optimized
class OptimizeoptTestMultiLabel(BaseTestMultiLabel):
def test_simple(self):
ops = """
[i1]
i2 = int_add(i1, 1)
escape(i2)
label(i1)
i3 = int_add(i1, 1)
escape(i3)
jump(i1)
"""
expected = """
[i1]
i2 = int_add(i1, 1)
escape(i2)
label(i1, i2)
escape(i2)
jump(i1, i2)
"""
self.optimize_loop(ops, expected)
def test_forced_virtual(self):
ops = """
[p1]
p3 = new_with_vtable(ConstClass(node_vtable))
label(p3)
escape(p3)
jump(p3)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_virtuals_with_nonmatching_fields(self):
ops = """
[p1]
p3 = new_with_vtable(ConstClass(node_vtable))
setfield_gc(p3, 1, descr=valuedescr)
label(p3)
p4 = new_with_vtable(ConstClass(node_vtable))
setfield_gc(p4, 1, descr=nextdescr)
jump(p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_virtual_arrays_with_nonmatching_lens(self):
ops = """
[p1]
p2 = new_array(3, descr=arraydescr)
label(p2)
p4 = new_array(2, descr=arraydescr)
jump(p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_nonmatching_arraystruct_1(self):
ops = """
[p1, f0]
p2 = new_array_clear(3, descr=complexarraydescr)
setinteriorfield_gc(p2, 2, f0, descr=complexrealdescr)
label(p2, f0)
p4 = new_array_clear(3, descr=complexarraydescr)
setinteriorfield_gc(p4, 2, f0, descr=compleximagdescr)
jump(p4, f0)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_nonmatching_arraystruct_2(self):
ops = """
[p1, f0]
p2 = new_array_clear(3, descr=complexarraydescr)
setinteriorfield_gc(p2, 2, f0, descr=complexrealdescr)
label(p2, f0)
p4 = new_array_clear(2, descr=complexarraydescr)
setinteriorfield_gc(p4, 0, f0, descr=complexrealdescr)
jump(p4, f0)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_not_virtual(self):
ops = """
[p1]
p3 = new_with_vtable(ConstClass(node_vtable))
label(p3)
p4 = escape()
jump(p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_not_virtual_array(self):
ops = """
[p1]
p3 = new_array(3, descr=arraydescr)
label(p3)
p4 = escape()
jump(p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_not_virtual_arraystruct(self):
ops = """
[p1]
p3 = new_array_clear(3, descr=complexarraydescr)
label(p3)
p4 = escape()
jump(p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_virtual_turns_constant(self):
ops = """
[p1]
p3 = new_with_vtable(ConstClass(node_vtable))
label(p3)
guard_value(p3, ConstPtr(myptr)) []
jump(p3)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_virtuals_turns_not_equal(self):
ops = """
[p1, p2]
p3 = new_with_vtable(ConstClass(node_vtable))
label(p3, p3)
p4 = new_with_vtable(ConstClass(node_vtable))
jump(p3, p4)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_two_intermediate_labels_basic_1(self):
ops = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i1)
i3 = getfield_gc(p1, descr=valuedescr)
i4 = int_add(i1, i3)
label(p1, i4)
i5 = int_add(i4, 1)
jump(p1, i5)
"""
expected = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i1, i2)
i4 = int_add(i1, i2)
label(p1, i4)
i5 = int_add(i4, 1)
jump(p1, i5)
"""
short1 = """
[p1, i1]
label(p1, i1)
i2 = getfield_gc(p1, descr=valuedescr)
jump(p1, i1, i2)
"""
short2 = """
[p1, i1]
label(p1, i1)
jump(p1, i1)
"""
self.optimize_loop(ops, expected, expected_shorts=[short1, short2])
def test_two_intermediate_labels_basic_2(self):
ops = """
[p1, i1]
i2 = int_add(i1, 1)
label(p1, i1)
i3 = getfield_gc(p1, descr=valuedescr)
i4 = int_add(i1, i3)
label(p1, i4)
i5 = getfield_gc(p1, descr=valuedescr)
i6 = int_add(i4, i5)
jump(p1, i6)
"""
expected = """
[p1, i1]
i2 = int_add(i1, 1)
label(p1, i1)
i3 = getfield_gc(p1, descr=valuedescr)
i4 = int_add(i1, i3)
label(p1, i4, i3)
i6 = int_add(i4, i3)
jump(p1, i6, i3)
"""
short1 = """
[p1, i1]
label(p1, i1)
jump(p1, i1)
"""
short2 = """
[p1, i1]
label(p1, i1)
i2 = getfield_gc(p1, descr=valuedescr)
jump(p1, i1, i2)
"""
self.optimize_loop(ops, expected, expected_shorts=[short1, short2])
def test_two_intermediate_labels_both(self):
ops = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i1)
i3 = getfield_gc(p1, descr=valuedescr)
i4 = int_add(i1, i3)
label(p1, i4)
i5 = getfield_gc(p1, descr=valuedescr)
i6 = int_mul(i4, i5)
jump(p1, i6)
"""
expected = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i1, i2)
i4 = int_add(i1, i2)
label(p1, i4, i2)
i6 = int_mul(i4, i2)
jump(p1, i6, i2)
"""
short = """
[p1, i1]
label(p1, i1)
i2 = getfield_gc(p1, descr=valuedescr)
jump(p1, i1, i2)
"""
self.optimize_loop(ops, expected, expected_shorts=[short, short])
def test_import_across_multiple_labels_basic(self):
# Not supported, juts make sure we get a functional trace
ops = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i1)
i3 = int_add(i1, 1)
label(p1, i1)
i4 = getfield_gc(p1, descr=valuedescr)
i5 = int_add(i4, 1)
jump(p1, i5)
"""
self.optimize_loop(ops, ops)
def test_import_across_multiple_labels_with_duplication(self):
# Not supported, juts make sure we get a functional trace
ops = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
label(p1, i2)
i3 = int_add(i2, 1)
label(p1, i2)
i4 = getfield_gc(p1, descr=valuedescr)
i5 = int_add(i4, 1)
jump(p1, i5)
"""
exported = """
[p1, i1]
i2 = getfield_gc(p1, descr=valuedescr)
i6 = same_as(i2)
label(p1, i2)
i3 = int_add(i2, 1)
label(p1, i2)
i4 = getfield_gc(p1, descr=valuedescr)
i5 = int_add(i4, 1)
jump(p1, i5)
"""
self.optimize_loop(ops, exported)
def test_import_virtual_across_multiple_labels(self):
ops = """
[p0, i1]
i1a = int_add(i1, 1)
pv = new_with_vtable(ConstClass(node_vtable))
setfield_gc(pv, i1a, descr=valuedescr)
label(pv, i1)
i2 = int_mul(i1, 3)
label(pv, i2)
i3 = getfield_gc(pv, descr=valuedescr)
i4 = int_add(i3, i2)
jump(pv, i4)
"""
expected = """
[p0, i1]
i1a = int_add(i1, 1)
i5 = same_as(i1a)
label(i1a, i1)
i2 = int_mul(i1, 3)
label(i1a, i2)
i4 = int_add(i1a, i2)
jump(i1a, i4)
"""
self.optimize_loop(ops, expected)
def test_virtual_as_field_of_forced_box(self):
ops = """
[p0]
pv1 = new_with_vtable(ConstClass(node_vtable))
label(pv1, p0)
pv2 = new_with_vtable(ConstClass(node_vtable))
setfield_gc(pv2, pv1, descr=valuedescr)
jump(pv1, pv2)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
def test_issue1045(self):
ops = """
[i55]
i73 = int_mod(i55, 2)
i75 = int_rshift(i73, 63)
i76 = int_and(2, i75)
i77 = int_add(i73, i76)
i81 = int_eq(i77, 1)
i0 = int_ge(i55, 1)
guard_true(i0) []
label(i55)
i3 = int_mod(i55, 2)
i5 = int_rshift(i3, 63)
i6 = int_and(2, i5)
i7 = int_add(i3, i6)
i8 = int_eq(i7, 1)
escape(i8)
jump(i55)
"""
expected = """
[i55]
i73 = int_mod(i55, 2)
i75 = int_rshift(i73, 63)
i76 = int_and(2, i75)
i77 = int_add(i73, i76)
i81 = int_eq(i77, 1)
i0 = int_ge(i55, 1)
guard_true(i0) []
label(i55, i81)
escape(i81)
jump(i55, i81)
"""
self.optimize_loop(ops, expected)
def test_boxed_opaque_unknown_class(self):
ops = """
[p1]
p2 = getfield_gc(p1, descr=nextdescr)
mark_opaque_ptr(p2)
i3 = getfield_gc(p2, descr=otherdescr)
label(p1)
i4 = getfield_gc(p1, descr=otherdescr)
label(p1)
p5 = getfield_gc(p1, descr=nextdescr)
mark_opaque_ptr(p5)
i6 = getfield_gc(p5, descr=otherdescr)
i7 = call(i6, descr=nonwritedescr)
"""
expected = """
[p1]
p2 = getfield_gc(p1, descr=nextdescr)
i3 = getfield_gc(p2, descr=otherdescr)
label(p1)
i4 = getfield_gc(p1, descr=otherdescr)
label(p1)
p5 = getfield_gc(p1, descr=nextdescr)
i6 = getfield_gc(p5, descr=otherdescr)
i7 = call(i6, descr=nonwritedescr)
"""
self.optimize_loop(ops, expected)
def test_opaque_pointer_fails_to_close_loop(self):
ops = """
[p1, p11]
p2 = getfield_gc(p1, descr=nextdescr)
guard_class(p2, ConstClass(node_vtable)) []
mark_opaque_ptr(p2)
i3 = getfield_gc(p2, descr=otherdescr)
label(p1, p11)
p12 = getfield_gc(p1, descr=nextdescr)
i13 = getfield_gc(p2, descr=otherdescr)
i14 = call(i13, descr=nonwritedescr)
jump(p11, p1)
"""
with raises(InvalidLoop):
self.optimize_loop(ops, ops)
class OptRenameStrlen(Optimization):
def propagate_forward(self, op):
dispatch_opt(self, op)
def optimize_STRLEN(self, op):
newop = op.clone()
newop.result = op.result.clonebox()
self.emit_operation(newop)
self.make_equal_to(op.result, self.getvalue(newop.result))
dispatch_opt = make_dispatcher_method(OptRenameStrlen, 'optimize_',
default=OptRenameStrlen.emit_operation)
class BaseTestOptimizerRenamingBoxes(BaseTestMultiLabel):
def _do_optimize_loop(self, loop, call_pure_results, state,
export_state=False):
from rpython.jit.metainterp.optimizeopt.unroll import optimize_unroll
from rpython.jit.metainterp.optimizeopt.util import args_dict
from rpython.jit.metainterp.optimizeopt.pure import OptPure
self.loop = loop
loop.call_pure_results = args_dict()
metainterp_sd = FakeMetaInterpStaticData(self.cpu)
return optimize_unroll(metainterp_sd, loop, [OptRewrite(), OptRenameStrlen(), OptHeap(), OptPure()], True, state, export_state)
def test_optimizer_renaming_boxes1(self):
ops = """
[p1]
i1 = strlen(p1)
label(p1)
i2 = strlen(p1)
i3 = int_add(i2, 7)
jump(p1)
"""
expected = """
[p1]
i1 = strlen(p1)
label(p1, i1)
i11 = same_as(i1)
i2 = int_add(i11, 7)
jump(p1, i11)
"""
self.optimize_loop(ops, expected)
def test_optimizer_renaming_boxes_not_imported(self):
ops = """
[p1]
i1 = strlen(p1)
label(p1)
jump(p1)
"""
expected = """
[p1]
i1 = strlen(p1)
label(p1, i1)
i11 = same_as(i1)
jump(p1, i11)
"""
self.optimize_loop(ops, expected)
class XxxTestLLtype(OptimizeoptTestMultiLabel, LLtypeMixin):
pass
class XxxTestOptimizerRenamingBoxesLLtype(BaseTestOptimizerRenamingBoxes, LLtypeMixin):
pass
|
