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import sys
from rpython.flowspace.model import (Variable, Constant, Block, Link,
SpaceOperation, FunctionGraph, mkentrymap)
from rpython.rtyper.lltypesystem.lltype import Bool, Signed, typeOf, Void, Ptr, normalizeptr
from rpython.tool.algo import sparsemat
from rpython.translator.backendopt import removenoops
from rpython.translator.backendopt.canraise import RaiseAnalyzer
from rpython.translator.backendopt.support import log, find_loop_blocks
from rpython.translator.simplify import join_blocks, cleanup_graph, get_graph
from rpython.translator.unsimplify import split_block
class CannotInline(Exception):
pass
class CanRaise(object):
def __init__(self, can_raise):
self.can_raise = can_raise
def collect_called_graphs(graph, translator):
graphs_or_something = set()
for block in graph.iterblocks():
for op in block.operations:
if op.opname == "direct_call":
graph = get_graph(op.args[0], translator)
if graph is not None:
graphs_or_something.add(graph)
else:
graphs_or_something.add(op.args[0])
if op.opname == "indirect_call":
graphs = op.args[-1].value
if graphs is None:
graphs_or_something.add(op.args[0])
else:
for graph in graphs:
graphs_or_something.add(graph)
return graphs_or_something
def iter_callsites(graph, calling_what):
for block in graph.iterblocks():
for i, op in enumerate(block.operations):
if op.opname == "direct_call":
funcobj = op.args[0].value._obj
else:
continue
graph = getattr(funcobj, 'graph', None)
# accept a function or a graph as 'inline_func'
if (calling_what is None or
graph is calling_what or
getattr(funcobj, '_callable', None) is calling_what):
yield graph, block, i
def find_callsites(graph, calling_what):
return list(iter_callsites(graph, calling_what))
def iter_first_callsites(graph, calling_what):
# restart the iter_callsites iterator every time, since the graph might
# have changed
while 1:
iterator = iter_callsites(graph, calling_what)
yield iterator.next()
def contains_call(graph, calling_what):
try:
iterator = iter_callsites(graph, calling_what)
iterator.next()
return True
except StopIteration:
return False
def inline_function(translator, inline_func, graph, lltype_to_classdef,
raise_analyzer, call_count_pred=None, cleanup=True):
inliner = Inliner(translator, graph, inline_func, lltype_to_classdef,
raise_analyzer=raise_analyzer,
call_count_pred=call_count_pred, cleanup=cleanup)
return inliner.inline_all()
def simple_inline_function(translator, inline_func, graph):
inliner = Inliner(translator, graph, inline_func,
translator.rtyper.lltype_to_classdef_mapping(),
raise_analyzer=RaiseAnalyzer(translator))
return inliner.inline_all()
def _find_exception_type(block):
#XXX slightly brittle: find the exception type for simple cases
#(e.g. if you do only raise XXXError) by doing pattern matching
currvar = block.exits[0].args[1]
ops = block.operations
i = len(ops) - 1
while True:
if isinstance(currvar, Constant):
value = currvar.value
TYPE = typeOf(normalizeptr(value))
return TYPE, block.exits[0]
if i < 0:
return None, None
op = ops[i]
i -= 1
if op.opname in ("same_as", "cast_pointer") and op.result is currvar:
currvar = op.args[0]
elif op.opname == "malloc" and op.result is currvar:
return Ptr(op.args[0].value), block.exits[0]
def does_raise_directly(graph, raise_analyzer):
""" this function checks, whether graph contains operations which can raise
and which are not exception guarded """
for block in graph.iterblocks():
if block is graph.exceptblock:
return True # the except block is reachable
if block.canraise:
consider_ops_to = -1
else:
consider_ops_to = len(block.operations)
for op in block.operations[:consider_ops_to]:
if raise_analyzer.can_raise(op):
return True
return False
def any_call_to_raising_graphs(from_graph, translator, raise_analyzer):
for graph_or_something in collect_called_graphs(from_graph, translator):
if isinstance(graph_or_something, FunctionGraph):
if does_raise_directly(graph_or_something, raise_analyzer):
return True
elif isinstance(graph_or_something, CanRaise):
if graph_or_something.can_raise:
return True
else:
return True # conservatively
for block in from_graph.iterblocks():
if block.canraise:
consider_ops_to = -1
else:
consider_ops_to = len(block.operations)
for op in block.operations[:consider_ops_to]:
if raise_analyzer.can_raise(op):
return True
return False
class BaseInliner(object):
def __init__(self, translator, graph, lltype_to_classdef,
inline_guarded_calls=False,
inline_guarded_calls_no_matter_what=False,
raise_analyzer=None,
call_count_pred=None,
cleanup=True):
self.translator = translator
self.graph = graph
self.do_cleanup = cleanup
self.inline_guarded_calls = inline_guarded_calls
# if this argument is set, the inliner will happily produce wrong code!
# it is used by the exception transformation
self.inline_guarded_calls_no_matter_what = inline_guarded_calls_no_matter_what
assert raise_analyzer is not None
self.raise_analyzer = raise_analyzer
self.lltype_to_classdef = lltype_to_classdef
self.call_count_pred = call_count_pred
def inline_all(self):
count = 0
non_recursive = {}
call_count_pred = self.call_count_pred
while self.block_to_index:
block, d = self.block_to_index.popitem()
index_operation, subgraph = d.popitem()
if d:
self.block_to_index[block] = d
if subgraph not in non_recursive and contains_call(subgraph, subgraph):
raise CannotInline("inlining a recursive function")
else:
non_recursive[subgraph] = True
if call_count_pred:
countop = block.operations[index_operation-1]
assert countop.opname == 'instrument_count'
assert countop.args[0].value == 'inline'
label = countop.args[1].value
if not call_count_pred(label):
continue
self.inline_once(block, index_operation)
count += 1
if self.do_cleanup:
self.cleanup()
return count
def get_graph_from_op(self, op):
assert op.opname == 'direct_call'
return self.op.args[0].value._obj.graph
def inline_once(self, block, index_operation):
self.varmap = {}
self._copied_blocks = {}
self.op = block.operations[index_operation]
self.graph_to_inline = self.get_graph_from_op(self.op)
self.exception_guarded = False
if self.op is block.raising_op:
self.exception_guarded = True
if self.inline_guarded_calls:
if (not self.inline_guarded_calls_no_matter_what and
does_raise_directly(self.graph_to_inline, self.raise_analyzer)):
raise CannotInline("can't inline because the call is exception guarded")
elif any_call_to_raising_graphs(self.graph_to_inline,
self.translator, self.raise_analyzer):
raise CannotInline("can't handle exceptions")
self._passon_vars = {}
self.entrymap = mkentrymap(self.graph_to_inline)
self.do_inline(block, index_operation)
def search_for_calls(self, block):
d = {}
for i, op in enumerate(block.operations):
if op.opname == "direct_call":
funcobj = op.args[0].value._obj
else:
continue
graph = getattr(funcobj, 'graph', None)
# accept a function or a graph as 'inline_func'
if (graph is self.inline_func or
getattr(funcobj, '_callable', None) is self.inline_func):
d[i] = graph
if d:
self.block_to_index[block] = d
else:
try:
del self.block_to_index[block]
except KeyError:
pass
def get_new_name(self, var):
if var is None:
return None
if isinstance(var, Constant):
return var
if var not in self.varmap:
self.varmap[var] = var.copy()
return self.varmap[var]
def passon_vars(self, cache_key):
if cache_key in self._passon_vars:
return self._passon_vars[cache_key]
result = [var.copy() for var in self.original_passon_vars]
self._passon_vars[cache_key] = result
return result
def copy_operation(self, op):
args = [self.get_new_name(arg) for arg in op.args]
result = SpaceOperation(op.opname, args, self.get_new_name(op.result))
return result
def copy_block(self, block):
if block in self._copied_blocks:
return self._copied_blocks[block]
args = ([self.get_new_name(var) for var in block.inputargs] +
self.passon_vars(block))
newblock = Block(args)
self._copied_blocks[block] = newblock
newblock.operations = [self.copy_operation(op) for op in block.operations]
newblock.closeblock(*[self.copy_link(link, block) for link in block.exits])
newblock.exitswitch = self.get_new_name(block.exitswitch)
self.search_for_calls(newblock)
return newblock
def copy_link(self, link, prevblock):
newargs = [self.get_new_name(a) for a in link.args] + self.passon_vars(prevblock)
newlink = Link(newargs, self.copy_block(link.target), link.exitcase)
newlink.last_exception = self.get_new_name(link.last_exception)
newlink.last_exc_value = self.get_new_name(link.last_exc_value)
if hasattr(link, 'llexitcase'):
newlink.llexitcase = link.llexitcase
return newlink
def find_args_in_exceptional_case(self, link, block, etype, evalue, afterblock, passon_vars):
linkargs = []
for arg in link.args:
if arg == link.last_exception:
linkargs.append(etype)
elif arg == link.last_exc_value:
linkargs.append(evalue)
elif isinstance(arg, Constant):
linkargs.append(arg)
else:
index = afterblock.inputargs.index(arg)
linkargs.append(passon_vars[index - 1])
return linkargs
def rewire_returnblock(self, afterblock):
copiedreturnblock = self.copy_block(self.graph_to_inline.returnblock)
linkargs = ([copiedreturnblock.inputargs[0]] +
self.passon_vars(self.graph_to_inline.returnblock))
linkfrominlined = Link(linkargs, afterblock)
copiedreturnblock.exitswitch = None
copiedreturnblock.recloseblock(linkfrominlined)
assert copiedreturnblock.exits[0].target == afterblock
def rewire_exceptblock(self, afterblock):
#let links to exceptblock of the graph to inline go to graphs exceptblock
copiedexceptblock = self.copy_block(self.graph_to_inline.exceptblock)
if not self.exception_guarded:
self.rewire_exceptblock_no_guard(afterblock, copiedexceptblock)
else:
# first try to match exceptions using a very simple heuristic
self.rewire_exceptblock_with_guard(afterblock, copiedexceptblock)
# generate blocks that do generic matching for cases when the
# heuristic did not work
self.generic_exception_matching(afterblock, copiedexceptblock)
def rewire_exceptblock_no_guard(self, afterblock, copiedexceptblock):
# find all copied links that go to copiedexceptblock
for link in self.entrymap[self.graph_to_inline.exceptblock]:
copiedblock = self.copy_block(link.prevblock)
for copiedlink in copiedblock.exits:
if copiedlink.target is copiedexceptblock:
copiedlink.args = copiedlink.args[:2]
copiedlink.target = self.graph.exceptblock
for a1, a2 in zip(copiedlink.args,
self.graph.exceptblock.inputargs):
if hasattr(a2, 'concretetype'):
assert a1.concretetype == a2.concretetype
else:
# if self.graph.exceptblock was never used before
a2.concretetype = a1.concretetype
def rewire_exceptblock_with_guard(self, afterblock, copiedexceptblock):
# this rewiring does not always succeed. in the cases where it doesn't
# there will be generic code inserted
from rpython.rtyper import rclass
excdata = self.translator.rtyper.exceptiondata
exc_match = excdata.fn_exception_match
for link in self.entrymap[self.graph_to_inline.exceptblock]:
if link.prevblock.exits[0] is not link:
continue
copiedblock = self.copy_block(link.prevblock)
VALUE, copiedlink = _find_exception_type(copiedblock)
#print copiedblock.operations
if VALUE is None or VALUE not in self.lltype_to_classdef:
continue
classdef = self.lltype_to_classdef[VALUE]
rtyper = self.translator.rtyper
classrepr = rclass.getclassrepr(rtyper, classdef)
vtable = classrepr.getruntime(excdata.lltype_of_exception_type)
var_etype = copiedlink.args[0]
var_evalue = copiedlink.args[1]
for exceptionlink in afterblock.exits[1:]:
if exc_match(vtable, exceptionlink.llexitcase):
passon_vars = self.passon_vars(link.prevblock)
copiedlink.target = exceptionlink.target
linkargs = self.find_args_in_exceptional_case(
exceptionlink, link.prevblock, var_etype, var_evalue, afterblock, passon_vars)
copiedlink.args = linkargs
break
def generic_exception_matching(self, afterblock, copiedexceptblock):
#XXXXX don't look: insert blocks that do exception matching
#for the cases where direct matching did not work
exc_match = Constant(
self.translator.rtyper.exceptiondata.fn_exception_match)
exc_match.concretetype = typeOf(exc_match.value)
blocks = []
for i, link in enumerate(afterblock.exits[1:]):
etype = copiedexceptblock.inputargs[0].copy()
evalue = copiedexceptblock.inputargs[1].copy()
passon_vars = self.passon_vars(i)
block = Block([etype, evalue] + passon_vars)
res = Variable()
res.concretetype = Bool
cexitcase = Constant(link.llexitcase)
cexitcase.concretetype = typeOf(cexitcase.value)
args = [exc_match, etype, cexitcase]
block.operations.append(SpaceOperation("direct_call", args, res))
block.exitswitch = res
linkargs = self.find_args_in_exceptional_case(link, link.target,
etype, evalue, afterblock,
passon_vars)
l = Link(linkargs, link.target)
l.prevblock = block
l.exitcase = True
l.llexitcase = True
block.closeblock(l)
if i > 0:
l = Link(blocks[-1].inputargs, block)
l.exitcase = False
l.llexitcase = False
blocks[-1].recloseblock(l, *blocks[-1].exits)
blocks.append(block)
blocks[-1].recloseblock(*blocks[-1].exits[:1])
blocks[-1].operations = []
blocks[-1].exitswitch = None
blocks[-1].exits[0].exitcase = None
del blocks[-1].exits[0].llexitcase
linkargs = copiedexceptblock.inputargs
copiedexceptblock.recloseblock(Link(linkargs, blocks[0]))
def do_inline(self, block, index_operation):
splitlink = split_block(block, index_operation)
afterblock = splitlink.target
# these variables have to be passed along all the links in the inlined
# graph because the original function needs them in the blocks after
# the inlined function
# for every inserted block we need a new copy of these variables,
# this copy is created with the method passon_vars
self.original_passon_vars = [arg for arg in block.exits[0].args
if isinstance(arg, Variable)]
assert afterblock.operations[0].opname == self.op.opname
self.op = afterblock.operations.pop(0)
#vars that need to be passed through the blocks of the inlined function
linktoinlined = splitlink
copiedstartblock = self.copy_block(self.graph_to_inline.startblock)
#find args passed to startblock of inlined function
passon_args = []
for arg in self.op.args[1:]:
if isinstance(arg, Constant):
passon_args.append(arg)
else:
index = afterblock.inputargs.index(arg)
passon_args.append(linktoinlined.args[index])
passon_args += self.original_passon_vars
#rewire blocks
linktoinlined.target = copiedstartblock
linktoinlined.args = passon_args
afterblock.inputargs = [self.op.result] + afterblock.inputargs
if self.graph_to_inline.returnblock in self.entrymap:
self.rewire_returnblock(afterblock)
if self.graph_to_inline.exceptblock in self.entrymap:
self.rewire_exceptblock(afterblock)
if self.exception_guarded:
assert afterblock.exits[0].exitcase is None
afterblock.recloseblock(afterblock.exits[0])
afterblock.exitswitch = None
self.search_for_calls(afterblock)
self.search_for_calls(block)
def cleanup(self):
""" cleaning up -- makes sense to be done after inlining, because the
inliner inserted quite some empty blocks and blocks that can be
joined. """
cleanup_graph(self.graph)
class Inliner(BaseInliner):
def __init__(self, translator, graph, inline_func, lltype_to_classdef,
inline_guarded_calls=False,
inline_guarded_calls_no_matter_what=False,
raise_analyzer=None,
call_count_pred=None,
cleanup=True):
BaseInliner.__init__(self, translator, graph, lltype_to_classdef,
inline_guarded_calls,
inline_guarded_calls_no_matter_what,
raise_analyzer,
call_count_pred,
cleanup)
self.inline_func = inline_func
# to simplify exception matching
join_blocks(graph)
# find callsites *after* joining blocks...
callsites = find_callsites(graph, inline_func)
self.block_to_index = {}
for g, block, i in callsites:
self.block_to_index.setdefault(block, {})[i] = g
class OneShotInliner(BaseInliner):
def search_for_calls(self, block):
pass
# ____________________________________________________________
#
# Automatic inlining
OP_WEIGHTS = {'same_as': 0,
'cast_pointer': 0,
'malloc': 2,
'instrument_count': 0,
'debug_assert': -1,
'jit_force_virtualizable': 0,
}
def block_weight(block, weights=OP_WEIGHTS):
total = 0
for op in block.operations:
if op.opname == "direct_call":
total += 1.5 + len(op.args) / 2
elif op.opname == "indirect_call":
total += 2 + len(op.args) / 2
total += weights.get(op.opname, 1)
if block.exitswitch is not None:
total += 1
return max(0, total)
def measure_median_execution_cost(graph):
blocks = []
blockmap = {}
for block in graph.iterblocks():
blockmap[block] = len(blocks)
blocks.append(block)
loops = find_loop_blocks(graph)
M = sparsemat.SparseMatrix(len(blocks))
vector = []
for i, block in enumerate(blocks):
vector.append(block_weight(block))
M[i, i] = 1
if block.exits:
if block not in loops:
current_loop_start = None
else:
current_loop_start = loops[block]
loop_exits = []
for link in block.exits:
if (link.target in loops and
loops[link.target] is current_loop_start):
loop_exits.append(link)
if len(loop_exits) and len(loop_exits) < len(block.exits):
f = 0.3 / (len(block.exits) - len(loop_exits))
b = 0.7 / len(loop_exits)
else:
b = f = 1.0 / len(block.exits)
for link in block.exits:
if (link.target in loops and
loops[link.target] is current_loop_start):
M[i, blockmap[link.target]] -= b
else:
M[i, blockmap[link.target]] -= f
try:
Solution = M.solve(vector)
except ValueError:
return sys.maxint
else:
res = Solution[blockmap[graph.startblock]]
return max(res, 0.0)
def static_instruction_count(graph):
count = 0
for block in graph.iterblocks():
count += block_weight(block)
return count
def inlining_heuristic(graph):
# XXX ponderation factors?
count = static_instruction_count(graph)
if count >= 200:
return count, True
return (0.9999 * measure_median_execution_cost(graph) +
count), True
def inlinable_static_callers(graphs, store_calls=False, ok_to_call=None):
if ok_to_call is None:
ok_to_call = set(graphs)
result = []
def add(parentgraph, block, op, graph):
if store_calls:
result.append((parentgraph, block, op, graph))
else:
result.append((parentgraph, graph))
#
for parentgraph in graphs:
for block in parentgraph.iterblocks():
for op in block.operations:
if op.opname == "direct_call":
funcobj = op.args[0].value._obj
graph = getattr(funcobj, 'graph', None)
if graph is not None and graph in ok_to_call:
if getattr(getattr(funcobj, '_callable', None),
'_dont_inline_', False):
continue
add(parentgraph, block, op, graph)
return result
def instrument_inline_candidates(graphs, threshold):
cache = {None: False}
def candidate(graph):
try:
return cache[graph]
except KeyError:
res = static_instruction_count(graph) <= threshold
cache[graph] = res
return res
n = 0
for parentgraph in graphs:
for block in parentgraph.iterblocks():
ops = block.operations
i = len(ops) - 1
while i >= 0:
op = ops[i]
i -= 1
if op.opname == "direct_call":
funcobj = op.args[0].value._obj
graph = getattr(funcobj, 'graph', None)
if graph is not None:
if getattr(getattr(funcobj, '_callable', None),
'_dont_inline_', False):
continue
if candidate(graph):
tag = Constant('inline', Void)
label = Constant(n, Signed)
dummy = Variable()
dummy.concretetype = Void
count = SpaceOperation('instrument_count',
[tag, label], dummy)
ops.insert(i + 1, count)
n += 1
log.inlining("%d call sites instrumented" % n)
def always_inline(graph):
return (hasattr(graph, 'func') and
getattr(graph.func, '_always_inline_', None))
def auto_inlining(translator, threshold=None,
callgraph=None,
call_count_pred=None,
heuristic=inlining_heuristic):
assert threshold is not None and threshold != 1
to_cleanup = {}
from heapq import heappush, heappop, heapreplace, heapify
callers = {} # {graph: {graphs-that-call-it}}
callees = {} # {graph: {graphs-that-it-calls}}
if callgraph is None:
callgraph = inlinable_static_callers(translator.graphs)
for graph1, graph2 in callgraph:
callers.setdefault(graph2, {})[graph1] = True
callees.setdefault(graph1, {})[graph2] = True
# the -len(callers) change is OK
heap = [(0.0, -len(callers[graph]), graph) for graph in callers]
valid_weight = {}
try_again = {}
lltype_to_classdef = translator.rtyper.lltype_to_classdef_mapping()
raise_analyzer = RaiseAnalyzer(translator)
count = 0
while heap:
weight, _, graph = heap[0]
if not valid_weight.get(graph):
if always_inline(graph):
weight, fixed = 0.0, True
else:
weight, fixed = heuristic(graph)
#print ' + cost %7.2f %50s' % (weight, graph.name)
heapreplace(heap, (weight, -len(callers[graph]), graph))
valid_weight[graph] = True
if not fixed:
try_again[graph] = 'initial'
continue
if weight >= threshold:
# finished... unless some graphs not in valid_weight would now
# have a weight below the threshold. Re-insert such graphs
# at the start of the heap
finished = True
for i in range(len(heap)):
graph = heap[i][2]
if not valid_weight.get(graph):
heap[i] = (0.0, heap[i][1], graph)
finished = False
if finished:
break
else:
heapify(heap)
continue
heappop(heap)
if callers[graph]:
if translator.config.translation.verbose:
log.inlining('%7.2f %50s' % (weight, graph.name))
else:
log.dot()
for parentgraph in callers[graph]:
if parentgraph == graph:
continue
subcount = 0
try:
subcount = inline_function(translator, graph, parentgraph,
lltype_to_classdef, raise_analyzer,
call_count_pred, cleanup=False)
to_cleanup[parentgraph] = True
res = bool(subcount)
except CannotInline as e:
try_again[graph] = str(e)
res = CannotInline
if res is True:
count += subcount
# the parentgraph should now contain all calls that were
# done by 'graph'
for graph2 in callees.get(graph, {}):
callees[parentgraph][graph2] = True
callers[graph2][parentgraph] = True
if parentgraph in try_again:
# the parentgraph was previously uninlinable, but it has
# been modified. Maybe now we can inline it into further
# parents?
del try_again[parentgraph]
heappush(heap, (0.0, -len(callers[parentgraph]), parentgraph))
valid_weight[parentgraph] = False
invalid = [(graph, msg) for graph, msg in try_again.items()
if always_inline(graph) is True]
if invalid:
message = '\n'.join([
"%s has _always_inline_=True but inlining failed:\n\t%s" %
(graph, msg) for (graph, msg) in invalid])
raise CannotInline(message)
for graph in to_cleanup:
cleanup_graph(graph)
return count
def auto_inline_graphs(translator, graphs, threshold, call_count_pred=None,
heuristic=inlining_heuristic,
inline_graph_from_anywhere=False):
if inline_graph_from_anywhere:
# it's ok to inline calls to any graph, with the exception of
# graphs that would be already exception-transformed
ok_to_call = set([graph for graph in translator.graphs
if not hasattr(graph, 'exceptiontransformed')])
else:
ok_to_call = None
callgraph = inlinable_static_callers(graphs, ok_to_call=ok_to_call)
count = auto_inlining(translator, threshold, callgraph=callgraph,
heuristic=heuristic,
call_count_pred=call_count_pred)
log.inlining('inlined %d callsites.' % (count,))
for graph in graphs:
removenoops.remove_duplicate_casts(graph, translator)
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