def _do_optimize_loop(self, loop, call_pure_results):
from pypy.jit.metainterp.optimizeopt.unroll import optimize_unroll
from pypy.jit.metainterp.optimizeopt.util import args_dict
from pypy.jit.metainterp.optimizeopt.pure import OptPure
self.loop = loop
loop.call_pure_results = args_dict()
metainterp_sd = FakeMetaInterpStaticData(self.cpu)
optimize_unroll(metainterp_sd, loop, [OptRenameStrlen(), OptPure()], True)
def optimize_loop_1(metainterp_sd, loop, enable_opts, inline_short_preamble=True, retraced=False, bridge=False):
"""Optimize loop.operations to remove internal overheadish operations.
"""
optimizations, unroll = build_opt_chain(metainterp_sd, enable_opts, inline_short_preamble, retraced)
if unroll:
optimize_unroll(metainterp_sd, loop, optimizations)
else:
optimizer = Optimizer(metainterp_sd, loop, optimizations, bridge)
optimizer.propagate_all_forward()
def optimize_trace(metainterp_sd, loop, enable_opts, inline_short_preamble=True):
"""Optimize loop.operations to remove internal overheadish operations.
"""
debug_start("jit-optimize")
try:
loop.logops = metainterp_sd.logger_noopt.log_loop(loop.inputargs,
loop.operations)
optimizations, unroll = build_opt_chain(metainterp_sd, enable_opts)
if unroll:
optimize_unroll(metainterp_sd, loop, optimizations, inline_short_preamble)
else:
optimizer = Optimizer(metainterp_sd, loop, optimizations)
optimizer.propagate_all_forward()
finally:
debug_stop("jit-optimize")
