def propagate_all_forward(self):
loop = self.optimizer.loop
self.optimizer.clear_newoperations()
start_label = loop.operations[0]
if start_label.getopnum() == rop.LABEL:
loop.operations = loop.operations[1:]
# We need to emit the label op before import_state() as emitting it
# will clear heap caches
self.optimizer.send_extra_operation(start_label)
else:
start_label = None
jumpop = loop.operations[-1]
if jumpop.getopnum() == rop.JUMP or jumpop.getopnum() == rop.LABEL:
loop.operations = loop.operations[:-1]
else:
jumpop = None
self.import_state(start_label)
self.optimizer.propagate_all_forward(clear=False)
if not jumpop:
return
cell_token = jumpop.getdescr()
assert isinstance(cell_token, JitCellToken)
stop_label = ResOperation(rop.LABEL, jumpop.getarglist(), None, TargetToken(cell_token))
if jumpop.getopnum() == rop.JUMP:
if self.jump_to_already_compiled_trace(jumpop):
# Found a compiled trace to jump to
if self.short:
# Construct our short preamble
assert start_label
self.close_bridge(start_label)
return
if start_label and self.jump_to_start_label(start_label, stop_label):
# Initial label matches, jump to it
jumpop = ResOperation(rop.JUMP, stop_label.getarglist(), None,
descr=start_label.getdescr())
if self.short:
# Construct our short preamble
self.close_loop(start_label, jumpop)
else:
self.optimizer.send_extra_operation(jumpop)
return
if cell_token.target_tokens:
limit = self.optimizer.metainterp_sd.warmrunnerdesc.memory_manager.retrace_limit
if cell_token.retraced_count < limit:
cell_token.retraced_count += 1
debug_print('Retracing (%d/%d)' % (cell_token.retraced_count, limit))
else:
debug_print("Retrace count reached, jumping to preamble")
assert cell_token.target_tokens[0].virtual_state is None
jumpop.setdescr(cell_token.target_tokens[0])
self.optimizer.send_extra_operation(jumpop)
return
# Found nothing to jump to, emit a label instead
if self.short:
# Construct our short preamble
assert start_label
self.close_bridge(start_label)
self.optimizer.flush()
KillHugeIntBounds(self.optimizer).apply()
loop.operations = self.optimizer.get_newoperations()
self.export_state(stop_label)
loop.operations.append(stop_label)
