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import py, sys, math
from rpython.rtyper.lltypesystem import lltype, llmemory
from rpython.jit.backend.llgraph import runner
from rpython.jit.metainterp.warmspot import ll_meta_interp, get_stats
from rpython.jit.metainterp.warmspot import reset_stats
from rpython.jit.metainterp.warmstate import unspecialize_value
from rpython.jit.metainterp.optimizeopt import ALL_OPTS_DICT
from rpython.jit.metainterp import pyjitpl, history, jitexc
from rpython.jit.codewriter.policy import JitPolicy
from rpython.jit.codewriter import codewriter, longlong
from rpython.jit.backend.llsupport.vector_ext import VectorExt
from rpython.rlib.jit import ENABLE_ALL_OPTS
from rpython.translator.backendopt.all import backend_optimizations
def _get_jitcodes(testself, CPUClass, func, values,
supports_floats=True,
supports_longlong=False,
supports_singlefloats=False,
translationoptions={},
backendopt_inline_threshold=0, **kwds):
from rpython.jit.codewriter import support
class FakeJitCell(object):
__product_token = None
def get_procedure_token(self):
return self.__product_token
def set_procedure_token(self, token):
self.__product_token = token
class FakeWarmRunnerState(object):
def attach_procedure_to_interp(self, greenkey, procedure_token):
assert greenkey == []
self._cell.set_procedure_token(procedure_token)
def helper_func(self, FUNCPTR, func):
from rpython.rtyper.annlowlevel import llhelper
return llhelper(FUNCPTR, func)
def get_unique_id(self, *args):
return 0
def get_location_str(self, args):
return 'location'
class JitCell:
@staticmethod
def get_jit_cell_at_key(greenkey):
assert greenkey == []
return FakeWarmRunnerState._cell
_cell = FakeJitCell()
trace_limit = sys.maxint
enable_opts = ALL_OPTS_DICT
pureop_historylength = 16
vec = True
if kwds.pop('disable_optimizations', False):
FakeWarmRunnerState.enable_opts = {}
func._jit_unroll_safe_ = True
rtyper = support.annotate(func, values, inline=backendopt_inline_threshold,
translationoptions=translationoptions)
graphs = rtyper.annotator.translator.graphs
testself.all_graphs = graphs
result_kind = history.getkind(graphs[0].getreturnvar().concretetype)[0]
class FakeJitDriver:
name = 'fakejitdriver'
class FakeJitDriverSD:
num_green_args = 0
portal_graph = graphs[0]
virtualizable_info = None
greenfield_info = None
result_type = result_kind
portal_runner_ptr = "???"
vec = False
jitdriver = FakeJitDriver()
stats = history.Stats(None)
cpu = CPUClass(rtyper, stats, None, False)
cw = codewriter.CodeWriter(cpu, [FakeJitDriverSD()])
cw.debug = True
testself.cw = cw
if supports_floats and not cpu.supports_floats:
py.test.skip("this test requires supports_floats=True")
if supports_longlong and not cpu.supports_longlong:
py.test.skip("this test requires supports_longlong=True")
if supports_singlefloats and not cpu.supports_singlefloats:
py.test.skip("this test requires supports_singlefloats=True")
policy = JitPolicy()
policy.set_supports_floats(supports_floats)
policy.set_supports_longlong(supports_longlong)
policy.set_supports_singlefloats(supports_singlefloats)
graphs = cw.find_all_graphs(policy)
if kwds.get("backendopt"):
backend_optimizations(rtyper.annotator.translator, graphs=graphs)
#
testself.warmrunnerstate = FakeWarmRunnerState()
testself.warmrunnerstate.cpu = cpu
FakeJitDriverSD.warmstate = testself.warmrunnerstate
if hasattr(testself, 'finish_setup_for_interp_operations'):
testself.finish_setup_for_interp_operations()
#
cw.make_jitcodes(verbose=True)
return stats
def _run_with_blackhole(testself, args):
from rpython.jit.metainterp.blackhole import BlackholeInterpBuilder
cw = testself.cw
blackholeinterpbuilder = BlackholeInterpBuilder(cw)
blackholeinterp = blackholeinterpbuilder.acquire_interp()
[jitdriver_sd] = cw.callcontrol.jitdrivers_sd
blackholeinterp.setposition(jitdriver_sd.mainjitcode, 0)
count_i = count_r = count_f = 0
for value in args:
T = lltype.typeOf(value)
if T == lltype.Signed:
blackholeinterp.setarg_i(count_i, value)
count_i += 1
elif T == llmemory.GCREF:
blackholeinterp.setarg_r(count_r, value)
count_r += 1
elif T == lltype.Float:
value = longlong.getfloatstorage(value)
blackholeinterp.setarg_f(count_f, value)
count_f += 1
else:
raise TypeError(T)
blackholeinterp.run()
return blackholeinterp._final_result_anytype()
def _run_with_pyjitpl(testself, args, stats):
cw = testself.cw
opt = history.Options(listops=True)
metainterp_sd = pyjitpl.MetaInterpStaticData(cw.cpu, opt)
stats.metainterp_sd = metainterp_sd
metainterp_sd.finish_setup(cw)
metainterp_sd.finish_setup_descrs()
[jitdriver_sd] = metainterp_sd.jitdrivers_sd
metainterp = pyjitpl.MetaInterp(metainterp_sd, jitdriver_sd)
testself.metainterp = metainterp
try:
metainterp.compile_and_run_once(jitdriver_sd, *args)
except (jitexc.DoneWithThisFrameInt,
jitexc.DoneWithThisFrameRef,
jitexc.DoneWithThisFrameFloat) as e:
return e.result
else:
raise Exception("FAILED")
def _run_with_machine_code(testself, args):
metainterp = testself.metainterp
num_green_args = metainterp.jitdriver_sd.num_green_args
procedure_token = metainterp.get_procedure_token(args[:num_green_args])
# a loop was successfully created by _run_with_pyjitpl(); call it
cpu = metainterp.cpu
args1 = []
for i in range(len(args) - num_green_args):
x = args[num_green_args + i]
args1.append(unspecialize_value(x))
deadframe = cpu.execute_token(procedure_token, *args1)
faildescr = cpu.get_latest_descr(deadframe)
assert faildescr.__class__.__name__.startswith('DoneWithThisFrameDescr')
if metainterp.jitdriver_sd.result_type == history.INT:
return deadframe, cpu.get_int_value(deadframe, 0)
elif metainterp.jitdriver_sd.result_type == history.REF:
return deadframe, cpu.get_ref_value(deadframe, 0)
elif metainterp.jitdriver_sd.result_type == history.FLOAT:
return deadframe, cpu.get_float_value(deadframe, 0)
else:
return deadframe, None
class JitMixin:
basic = True
enable_opts = ENABLE_ALL_OPTS
# Basic terminology: the JIT produces "loops" and "bridges".
# Bridges are always attached to failing guards. Every loop is
# the "trunk" of a tree of compiled code, which is formed by first
# compiling a loop and then incrementally adding some number of
# bridges to it. Each loop and each bridge ends with either a
# FINISH or a JUMP instruction (the name "loop" is not really
# adapted any more). The JUMP instruction jumps to any LABEL
# pseudo-instruction, which can be anywhere, within the same tree
# or another one.
def check_resops(self, expected=None, **check):
"""Check the instructions in all loops and bridges, ignoring
the ones that end in FINISH. Either pass a dictionary (then
the check must match exactly), or some keyword arguments (then
the check is only about the instructions named)."""
if self.enable_opts == ENABLE_ALL_OPTS:
get_stats().check_resops(expected=expected, **check)
def check_simple_loop(self, expected=None, **check):
"""Useful in the simplest case when we have only one loop
ending with a jump back to itself and possibly a few bridges.
Only the operations within the loop formed by that single jump
will be counted; the bridges are all ignored. If several loops
were compiled, complains."""
if self.enable_opts == ENABLE_ALL_OPTS:
get_stats().check_simple_loop(expected=expected, **check)
def check_trace_count(self, count): # was check_loop_count
"""Check the number of loops and bridges compiled."""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().compiled_count == count
def check_trace_count_at_most(self, count):
"""Check the number of loops and bridges compiled."""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().compiled_count <= count
def check_jitcell_token_count(self, count): # was check_tree_loop_count
"""This should check the number of independent trees of code.
(xxx it is not 100% clear that the count is correct)"""
if self.enable_opts == ENABLE_ALL_OPTS:
assert len(get_stats().jitcell_token_wrefs) == count
def check_target_token_count(self, count):
"""(xxx unknown)"""
if self.enable_opts == ENABLE_ALL_OPTS:
tokens = get_stats().get_all_jitcell_tokens()
n = sum([len(t.target_tokens) for t in tokens])
assert n == count
def check_enter_count(self, count):
"""Check the number of times pyjitpl ran. (Every time, it
should have produced either one loop or one bridge, or aborted;
but it is not 100% clear that this is still correct in the
presence of unrolling.)"""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().enter_count == count
def check_enter_count_at_most(self, count):
"""Check the number of times pyjitpl ran."""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().enter_count <= count
def check_aborted_count(self, count):
"""Check the number of times pyjitpl was aborted."""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().aborted_count == count
def check_aborted_count_at_least(self, count):
"""Check the number of times pyjitpl was aborted."""
if self.enable_opts == ENABLE_ALL_OPTS:
assert get_stats().aborted_count >= count
def meta_interp(self, *args, **kwds):
kwds['CPUClass'] = self.CPUClass
if "backendopt" not in kwds:
kwds["backendopt"] = False
if "enable_opts" not in kwds and hasattr(self, 'enable_opts'):
kwds['enable_opts'] = self.enable_opts
old = codewriter.CodeWriter.debug
try:
codewriter.CodeWriter.debug = True
return ll_meta_interp(*args, **kwds)
finally:
codewriter.CodeWriter.debug = old
def interp_operations(self, f, args, **kwds):
# get the JitCodes for the function f
stats = _get_jitcodes(self, self.CPUClass, f, args, **kwds)
# try to run it with blackhole.py
result1 = _run_with_blackhole(self, args)
# try to run it with pyjitpl.py
result2 = _run_with_pyjitpl(self, args, stats)
assert result1 == result2 or math.isnan(result1) and math.isnan(result2)
# try to run it by running the code compiled just before
df, result3 = _run_with_machine_code(self, args)
self._lastframe = df
assert result1 == result3 or result3 == NotImplemented or math.isnan(result1) and math.isnan(result3)
#
if (longlong.supports_longlong and
isinstance(result1, longlong.r_float_storage)):
result1 = longlong.getrealfloat(result1)
return result1
def check_history(self, expected=None, **isns):
# this can be used after calling meta_interp
get_stats().check_history(expected, **isns)
def check_operations_history(self, expected=None, **isns):
# this can be used after interp_operations
if expected is not None:
expected = dict(expected)
expected['finish'] = 1
self.metainterp.staticdata.stats.check_history(expected, **isns)
class LLJitMixin(JitMixin):
CPUClass = runner.LLGraphCPU
def supports_vector_ext(self):
return True
@staticmethod
def Ptr(T):
return lltype.Ptr(T)
@staticmethod
def GcStruct(name, *fields, **kwds):
S = lltype.GcStruct(name, *fields, **kwds)
return S
malloc = staticmethod(lltype.malloc)
nullptr = staticmethod(lltype.nullptr)
@staticmethod
def malloc_immortal(T):
return lltype.malloc(T, immortal=True)
def _get_NODE(self):
NODE = lltype.GcForwardReference()
NODE.become(lltype.GcStruct('NODE', ('value', lltype.Signed),
('next', lltype.Ptr(NODE))))
return NODE
# ____________________________________________________________
class _Foo:
pass
def noConst(x):
"""Helper function for tests, returning 'x' as a BoxInt/BoxPtr
even if it is a ConstInt/ConstPtr."""
from rpython.rlib import jit
return jit.hint(x, force_no_const=True)
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