def auto_test_vs_ref(
ref_knl, ctx, test_knl=None, op_count=[], op_label=[], parameters={},
print_ref_code=False, print_code=True, warmup_rounds=2,
dump_binary=False,
fills_entire_output=None, do_check=True, check_result=None,
max_test_kernel_count=1,
quiet=False, blacklist_ref_vendors=[]):
"""Compare results of `ref_knl` to the kernels generated by
scheduling *test_knl*.
:arg check_result: a callable with :class:`numpy.ndarray` arguments
*(result, reference_result)* returning a a tuple (class:`bool`,
message) indicating correctness/acceptability of the result
:arg max_test_kernel_count: Stop testing after this many *test_knl*
"""
import pyopencl as cl
if test_knl is None:
test_knl = ref_knl
do_check = False
if len(ref_knl.args) != len(test_knl.args):
raise LoopyError("ref_knl and test_knl do not have the same number "
"of arguments")
for i, (ref_arg, test_arg) in enumerate(zip(ref_knl.args, test_knl.args)):
if ref_arg.name != test_arg.name:
raise LoopyError("ref_knl and test_knl argument lists disagree at index "
"%d (1-based)" % (i+1))
if ref_arg.dtype != test_arg.dtype:
raise LoopyError("ref_knl and test_knl argument lists disagree at index "
"%d (1-based)" % (i+1))
from loopy.compiled import CompiledKernel, get_highlighted_cl_code
if isinstance(op_count, (int, float)):
warn("op_count should be a list", stacklevel=2)
op_count = [op_count]
if isinstance(op_label, str):
warn("op_label should be a list", stacklevel=2)
op_label = [op_label]
from time import time
if check_result is None:
check_result = _default_check_result
if fills_entire_output is not None:
warn("fills_entire_output is deprecated", DeprecationWarning, stacklevel=2)
# {{{ compile and run reference code
from loopy.preprocess import infer_unknown_types
ref_knl = infer_unknown_types(ref_knl, expect_completion=True)
found_ref_device = False
ref_errors = []
for dev in _enumerate_cl_devices_for_ref_test(blacklist_ref_vendors):
ref_ctx = cl.Context([dev])
ref_queue = cl.CommandQueue(ref_ctx,
properties=cl.command_queue_properties.PROFILING_ENABLE)
pp_ref_knl = lp.preprocess_kernel(ref_knl)
for knl in lp.generate_loop_schedules(pp_ref_knl):
ref_sched_kernel = knl
break
logger.info("%s (ref): trying %s for the reference calculation" % (
ref_knl.name, dev))
ref_compiled = CompiledKernel(ref_ctx, ref_sched_kernel)
if not quiet and print_ref_code:
print(75*"-")
print("Reference Code:")
print(75*"-")
print(get_highlighted_cl_code(ref_compiled.code))
print(75*"-")
ref_cl_kernel_info = ref_compiled.cl_kernel_info(frozenset())
try:
ref_args, ref_arg_data = \
make_ref_args(ref_sched_kernel,
ref_cl_kernel_info.implemented_data_info,
ref_queue, parameters)
ref_args["out_host"] = False
except cl.RuntimeError as e:
if e.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
import traceback
ref_errors.append("\n".join([
75*"-",
"On %s:" % dev,
75*"-",
traceback.format_exc(),
75*"-"]))
continue
else:
raise
found_ref_device = True
if not do_check:
break
ref_queue.finish()
logger.info("%s (ref): using %s for the reference calculation" % (
ref_knl.name, dev))
logger.info("%s (ref): run" % ref_knl.name)
ref_start = time()
if not AUTO_TEST_SKIP_RUN:
ref_evt, _ = ref_compiled(ref_queue, **ref_args)
else:
ref_evt = cl.enqueue_marker(ref_queue)
ref_queue.finish()
ref_stop = time()
ref_elapsed_wall = ref_stop-ref_start
logger.info("%s (ref): run done" % ref_knl.name)
ref_evt.wait()
ref_elapsed_event = 1e-9*(ref_evt.profile.END-ref_evt.profile.START)
break
if not found_ref_device:
raise LoopyError("could not find a suitable device for the "
"reference computation.\n"
"These errors were encountered:\n"+"\n".join(ref_errors))
# }}}
# {{{ compile and run parallel code
need_check = do_check
queue = cl.CommandQueue(ctx,
properties=cl.command_queue_properties.PROFILING_ENABLE)
args = None
from loopy.kernel import kernel_state
if test_knl.state not in [
kernel_state.PREPROCESSED,
kernel_state.SCHEDULED]:
test_knl = lp.preprocess_kernel(test_knl)
if not test_knl.schedule:
test_kernels = lp.generate_loop_schedules(test_knl)
else:
test_kernels = [test_knl]
test_kernel_count = 0
from loopy.preprocess import infer_unknown_types
for i, kernel in enumerate(test_kernels):
test_kernel_count += 1
if test_kernel_count > max_test_kernel_count:
break
kernel = infer_unknown_types(kernel, expect_completion=True)
compiled = CompiledKernel(ctx, kernel)
if args is None:
cl_kernel_info = compiled.cl_kernel_info(frozenset())
args = make_args(kernel,
cl_kernel_info.implemented_data_info,
queue, ref_arg_data, parameters)
args["out_host"] = False
if not quiet:
print(75*"-")
print("Kernel #%d:" % i)
print(75*"-")
if print_code:
print(compiled.get_highlighted_code())
print(75*"-")
if dump_binary:
print(type(compiled.cl_program))
print(compiled.cl_program.binaries[0])
print(75*"-")
logger.info("%s: run warmup" % (knl.name))
for i in range(warmup_rounds):
if not AUTO_TEST_SKIP_RUN:
compiled(queue, **args)
if need_check and not AUTO_TEST_SKIP_RUN:
for arg_desc in ref_arg_data:
if arg_desc is None:
continue
if not arg_desc.needs_checking:
continue
from pyopencl.compyte.array import as_strided
ref_ary = as_strided(
arg_desc.ref_storage_array.get(),
shape=arg_desc.ref_shape,
strides=arg_desc.ref_numpy_strides).flatten()
test_ary = as_strided(
arg_desc.test_storage_array.get(),
shape=arg_desc.test_shape,
strides=arg_desc.test_numpy_strides).flatten()
common_len = min(len(ref_ary), len(test_ary))
ref_ary = ref_ary[:common_len]
test_ary = test_ary[:common_len]
error_is_small, error = check_result(test_ary, ref_ary)
if not error_is_small:
raise AutomaticTestFailure(error)
need_check = False
events = []
queue.finish()
logger.info("%s: warmup done" % (knl.name))
logger.info("%s: timing run" % (knl.name))
timing_rounds = warmup_rounds
while True:
from time import time
start_time = time()
evt_start = cl.enqueue_marker(queue)
for i in range(timing_rounds):
if not AUTO_TEST_SKIP_RUN:
evt, _ = compiled(queue, **args)
events.append(evt)
else:
events.append(cl.enqueue_marker(queue))
evt_end = cl.enqueue_marker(queue)
queue.finish()
stop_time = time()
for evt in events:
evt.wait()
evt_start.wait()
evt_end.wait()
elapsed_event = (1e-9*events[-1].profile.END
- 1e-9*events[0].profile.START) \
/ timing_rounds
try:
elapsed_event_marker = ((1e-9*evt_end.profile.START
- 1e-9*evt_start.profile.START)
/ timing_rounds)
except cl.RuntimeError:
elapsed_event_marker = None
elapsed_wall = (stop_time-start_time)/timing_rounds
if elapsed_wall * timing_rounds < 0.3:
timing_rounds *= 4
else:
break
logger.info("%s: timing run done" % (knl.name))
rates = ""
for cnt, lbl in zip(op_count, op_label):
rates += " %g %s/s" % (cnt/elapsed_wall, lbl)
if not quiet:
def format_float_or_none(v):
if v is None:
return "<unavailable>"
else:
return "%g" % v
print("elapsed: %s s event, %s s marker-event %s s wall "
"(%d rounds)%s" % (
format_float_or_none(elapsed_event),
format_float_or_none(elapsed_event_marker),
format_float_or_none(elapsed_wall), timing_rounds, rates))
if do_check:
ref_rates = ""
for cnt, lbl in zip(op_count, op_label):
ref_rates += " %g %s/s" % (cnt/ref_elapsed_event, lbl)
if not quiet:
print("ref: elapsed: %g s event, %g s wall%s" % (
ref_elapsed_event, ref_elapsed_wall, ref_rates))
# }}}
result_dict = {}
result_dict["elapsed_event"] = elapsed_event
result_dict["elapsed_event_marker"] = elapsed_event_marker
result_dict["elapsed_wall"] = elapsed_wall
result_dict["timing_rounds"] = timing_rounds
if do_check:
result_dict["ref_elapsed_event"] = ref_elapsed_event
result_dict["ref_elapsed_wall"] = ref_elapsed_wall
return result_dict
def check_implemented_domains(kernel, implemented_domains, code=None):
from islpy import dim_type
from islpy import align_two
last_idomains = None
last_insn_inames = None
for insn_id, idomains in six.iteritems(implemented_domains):
insn = kernel.id_to_insn[insn_id]
assert idomains
insn_inames = kernel.insn_inames(insn)
# {{{ if we've checked the same thing before, no need to check it again
if last_idomains is not None and last_insn_inames is not None:
if idomains == last_idomains and insn_inames == last_insn_inames:
continue
last_idomains = idomains
last_insn_inames = insn_inames
# }}}
insn_impl_domain = idomains[0]
for idomain in idomains[1:]:
insn_impl_domain = insn_impl_domain | idomain
assumption_non_param = isl.BasicSet.from_params(kernel.assumptions)
assumptions, insn_impl_domain = align_two(
assumption_non_param, insn_impl_domain)
insn_impl_domain = (
(insn_impl_domain & assumptions)
.project_out_except(insn_inames, [dim_type.set]))
insn_domain = kernel.get_inames_domain(insn_inames)
insn_parameters = frozenset(insn_domain.get_var_names(dim_type.param))
assumptions, insn_domain = align_two(assumption_non_param, insn_domain)
desired_domain = ((insn_domain & assumptions)
.project_out_except(insn_inames, [dim_type.set])
.project_out_except(insn_parameters, [dim_type.param]))
insn_impl_domain = (insn_impl_domain
.project_out_except(insn_parameters, [dim_type.param]))
insn_impl_domain, desired_domain = align_two(
insn_impl_domain, desired_domain)
if insn_impl_domain != desired_domain:
i_minus_d = insn_impl_domain - desired_domain
d_minus_i = desired_domain - insn_impl_domain
parameter_inames = set(
insn_domain.get_dim_name(dim_type.param, i)
for i in range(insn_domain.dim(dim_type.param)))
lines = []
for kind, diff_set, gist_domain in [
("implemented, but not desired", i_minus_d,
desired_domain.gist(insn_impl_domain)),
("desired, but not implemented", d_minus_i,
insn_impl_domain.gist(desired_domain))]:
if diff_set.is_empty():
continue
diff_set = diff_set.coalesce()
pt = diff_set.sample_point()
assert not pt.is_void()
#pt_set = isl.Set.from_point(pt)
#lines.append("point implemented: %s" % (pt_set <= insn_impl_domain))
#lines.append("point desired: %s" % (pt_set <= desired_domain))
iname_to_dim = pt.get_space().get_var_dict()
point_axes = []
for iname in kernel.insn_inames(insn) | parameter_inames:
tp, dim = iname_to_dim[iname]
point_axes.append("%s=%d" % (
iname, pt.get_coordinate_val(tp, dim).to_python()))
lines.append(
"sample point in %s: %s" % (kind, ", ".join(point_axes)))
lines.append(
"gist of %s: %s" % (kind, gist_domain))
if code is not None:
print(79*"-")
print("CODE:")
print(79*"-")
from loopy.compiled import get_highlighted_cl_code
print(get_highlighted_cl_code(code))
print(79*"-")
raise LoopyError("sanity check failed--implemented and desired "
"domain for instruction '%s' do not match\n\n"
"implemented: %s\n\n"
"desired:%s\n\n%s"
% (insn_id, insn_impl_domain, desired_domain, "\n".join(lines)))
# placate the assert at the call site
return True
def check_implemented_domains(kernel, implemented_domains, code=None):
from islpy import dim_type
from islpy import align_two
last_idomains = None
last_insn_inames = None
for insn_id, idomains in six.iteritems(implemented_domains):
insn = kernel.id_to_insn[insn_id]
assert idomains
insn_inames = kernel.insn_inames(insn)
# {{{ if we've checked the same thing before, no need to check it again
if last_idomains is not None and last_insn_inames is not None:
if idomains == last_idomains and insn_inames == last_insn_inames:
continue
last_idomains = idomains
last_insn_inames = insn_inames
# }}}
insn_impl_domain = idomains[0]
for idomain in idomains[1:]:
insn_impl_domain = insn_impl_domain | idomain
assumption_non_param = isl.BasicSet.from_params(kernel.assumptions)
assumptions, insn_impl_domain = align_two(
assumption_non_param, insn_impl_domain)
insn_impl_domain = (
(insn_impl_domain & assumptions)
.project_out_except(insn_inames, [dim_type.set]))
from loopy.kernel.instruction import BarrierInstruction
from loopy.kernel.data import LocalIndexTag
if isinstance(insn, BarrierInstruction):
# project out local-id-mapped inames, solves #94 on gitlab
non_lid_inames = frozenset(
[iname for iname in insn_inames if not isinstance(
kernel.iname_to_tag.get(iname), LocalIndexTag)])
insn_impl_domain = insn_impl_domain.project_out_except(
non_lid_inames, [dim_type.set])
insn_domain = kernel.get_inames_domain(insn_inames)
insn_parameters = frozenset(insn_domain.get_var_names(dim_type.param))
assumptions, insn_domain = align_two(assumption_non_param, insn_domain)
desired_domain = ((insn_domain & assumptions)
.project_out_except(insn_inames, [dim_type.set])
.project_out_except(insn_parameters, [dim_type.param]))
if isinstance(insn, BarrierInstruction):
# project out local-id-mapped inames, solves #94 on gitlab
desired_domain = desired_domain.project_out_except(
non_lid_inames, [dim_type.set])
insn_impl_domain = (insn_impl_domain
.project_out_except(insn_parameters, [dim_type.param]))
insn_impl_domain, desired_domain = align_two(
insn_impl_domain, desired_domain)
if insn_impl_domain != desired_domain:
i_minus_d = insn_impl_domain - desired_domain
d_minus_i = desired_domain - insn_impl_domain
parameter_inames = set(
insn_domain.get_dim_name(dim_type.param, i)
for i in range(insn_impl_domain.dim(dim_type.param)))
lines = []
for bigger, smaller, diff_set, gist_domain in [
("implemented", "desired", i_minus_d,
desired_domain.gist(insn_impl_domain)),
("desired", "implemented", d_minus_i,
insn_impl_domain.gist(desired_domain))]:
if diff_set.is_empty():
continue
diff_set = diff_set.coalesce()
pt = diff_set.sample_point()
assert not pt.is_void()
#pt_set = isl.Set.from_point(pt)
#lines.append("point implemented: %s" % (pt_set <= insn_impl_domain))
#lines.append("point desired: %s" % (pt_set <= desired_domain))
iname_to_dim = pt.get_space().get_var_dict()
point_axes = []
for iname in kernel.insn_inames(insn) | parameter_inames:
tp, dim = iname_to_dim[iname]
point_axes.append("%s=%d" % (
iname, pt.get_coordinate_val(tp, dim).to_python()))
lines.append(
"sample point in %s but not %s: %s" % (
bigger, smaller, ", ".join(point_axes)))
lines.append(
"gist of constraints in %s but not %s: %s" % (
smaller, bigger, gist_domain))
if code is not None:
print(79*"-")
print("CODE:")
print(79*"-")
from loopy.compiled import get_highlighted_cl_code
print(get_highlighted_cl_code(code))
print(79*"-")
raise LoopyError("sanity check failed--implemented and desired "
"domain for instruction '%s' do not match\n\n"
"implemented: %s\n\n"
"desired:%s\n\n%s"
% (insn_id, insn_impl_domain, desired_domain, "\n".join(lines)))
# placate the assert at the call site
return True
def auto_test_vs_ref(ref_knl,
ctx,
test_knl=None,
op_count=[],
op_label=[],
parameters={},
print_ref_code=False,
print_code=True,
warmup_rounds=2,
dump_binary=False,
fills_entire_output=None,
do_check=True,
check_result=None,
max_test_kernel_count=1,
quiet=False,
blacklist_ref_vendors=[]):
"""Compare results of `ref_knl` to the kernels generated by
scheduling *test_knl*.
:arg check_result: a callable with :class:`numpy.ndarray` arguments
*(result, reference_result)* returning a a tuple (class:`bool`,
message) indicating correctness/acceptability of the result
:arg max_test_kernel_count: Stop testing after this many *test_knl*
"""
import pyopencl as cl
if test_knl is None:
test_knl = ref_knl
do_check = False
if len(ref_knl.args) != len(test_knl.args):
raise LoopyError("ref_knl and test_knl do not have the same number "
"of arguments")
for i, (ref_arg, test_arg) in enumerate(zip(ref_knl.args, test_knl.args)):
if ref_arg.name != test_arg.name:
raise LoopyError(
"ref_knl and test_knl argument lists disagree at index "
"%d (1-based)" % (i + 1))
if ref_arg.dtype != test_arg.dtype:
raise LoopyError(
"ref_knl and test_knl argument lists disagree at index "
"%d (1-based)" % (i + 1))
from loopy.compiled import CompiledKernel, get_highlighted_cl_code
if isinstance(op_count, (int, float)):
warn("op_count should be a list", stacklevel=2)
op_count = [op_count]
if isinstance(op_label, str):
warn("op_label should be a list", stacklevel=2)
op_label = [op_label]
from time import time
if check_result is None:
check_result = _default_check_result
if fills_entire_output is not None:
warn("fills_entire_output is deprecated",
DeprecationWarning,
stacklevel=2)
# {{{ compile and run reference code
from loopy.preprocess import infer_unknown_types
ref_knl = infer_unknown_types(ref_knl, expect_completion=True)
found_ref_device = False
ref_errors = []
for dev in _enumerate_cl_devices_for_ref_test(blacklist_ref_vendors):
ref_ctx = cl.Context([dev])
ref_queue = cl.CommandQueue(
ref_ctx, properties=cl.command_queue_properties.PROFILING_ENABLE)
pp_ref_knl = lp.preprocess_kernel(ref_knl)
for knl in lp.generate_loop_schedules(pp_ref_knl):
ref_sched_kernel = knl
break
logger.info("%s (ref): trying %s for the reference calculation" %
(ref_knl.name, dev))
ref_compiled = CompiledKernel(ref_ctx, ref_sched_kernel)
if not quiet and print_ref_code:
print(75 * "-")
print("Reference Code:")
print(75 * "-")
print(get_highlighted_cl_code(ref_compiled.code))
print(75 * "-")
ref_cl_kernel_info = ref_compiled.cl_kernel_info(frozenset())
try:
ref_args, ref_arg_data = \
make_ref_args(ref_sched_kernel,
ref_cl_kernel_info.implemented_data_info,
ref_queue, parameters)
ref_args["out_host"] = False
except cl.RuntimeError as e:
if e.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
import traceback
ref_errors.append("\n".join([
75 * "-",
"On %s:" % dev, 75 * "-",
traceback.format_exc(), 75 * "-"
]))
continue
else:
raise
found_ref_device = True
if not do_check:
break
ref_queue.finish()
logger.info("%s (ref): using %s for the reference calculation" %
(ref_knl.name, dev))
logger.info("%s (ref): run" % ref_knl.name)
ref_start = time()
if not AUTO_TEST_SKIP_RUN:
ref_evt, _ = ref_compiled(ref_queue, **ref_args)
else:
ref_evt = cl.enqueue_marker(ref_queue)
ref_queue.finish()
ref_stop = time()
ref_elapsed_wall = ref_stop - ref_start
logger.info("%s (ref): run done" % ref_knl.name)
ref_evt.wait()
ref_elapsed_event = 1e-9 * (ref_evt.profile.END -
ref_evt.profile.START)
break
if not found_ref_device:
raise LoopyError("could not find a suitable device for the "
"reference computation.\n"
"These errors were encountered:\n" +
"\n".join(ref_errors))
# }}}
# {{{ compile and run parallel code
need_check = do_check
queue = cl.CommandQueue(
ctx, properties=cl.command_queue_properties.PROFILING_ENABLE)
args = None
from loopy.kernel import kernel_state
if test_knl.state not in [
kernel_state.PREPROCESSED, kernel_state.SCHEDULED
]:
test_knl = lp.preprocess_kernel(test_knl)
if not test_knl.schedule:
test_kernels = lp.generate_loop_schedules(test_knl)
else:
test_kernels = [test_knl]
test_kernel_count = 0
from loopy.preprocess import infer_unknown_types
for i, kernel in enumerate(test_kernels):
test_kernel_count += 1
if test_kernel_count > max_test_kernel_count:
break
kernel = infer_unknown_types(kernel, expect_completion=True)
compiled = CompiledKernel(ctx, kernel)
if args is None:
cl_kernel_info = compiled.cl_kernel_info(frozenset())
args = make_args(kernel, cl_kernel_info.implemented_data_info,
queue, ref_arg_data, parameters)
args["out_host"] = False
if not quiet:
print(75 * "-")
print("Kernel #%d:" % i)
print(75 * "-")
if print_code:
print(compiled.get_highlighted_code())
print(75 * "-")
if dump_binary:
print(type(compiled.cl_program))
print(compiled.cl_program.binaries[0])
print(75 * "-")
logger.info("%s: run warmup" % (knl.name))
for i in range(warmup_rounds):
if not AUTO_TEST_SKIP_RUN:
compiled(queue, **args)
if need_check and not AUTO_TEST_SKIP_RUN:
for arg_desc in ref_arg_data:
if arg_desc is None:
continue
if not arg_desc.needs_checking:
continue
from pyopencl.compyte.array import as_strided
ref_ary = as_strided(
arg_desc.ref_storage_array.get(),
shape=arg_desc.ref_shape,
strides=arg_desc.ref_numpy_strides).flatten()
test_ary = as_strided(
arg_desc.test_storage_array.get(),
shape=arg_desc.test_shape,
strides=arg_desc.test_numpy_strides).flatten()
common_len = min(len(ref_ary), len(test_ary))
ref_ary = ref_ary[:common_len]
test_ary = test_ary[:common_len]
error_is_small, error = check_result(test_ary, ref_ary)
if not error_is_small:
raise AutomaticTestFailure(error)
need_check = False
events = []
queue.finish()
logger.info("%s: warmup done" % (knl.name))
logger.info("%s: timing run" % (knl.name))
timing_rounds = warmup_rounds
while True:
from time import time
start_time = time()
evt_start = cl.enqueue_marker(queue)
for i in range(timing_rounds):
if not AUTO_TEST_SKIP_RUN:
evt, _ = compiled(queue, **args)
events.append(evt)
else:
events.append(cl.enqueue_marker(queue))
evt_end = cl.enqueue_marker(queue)
queue.finish()
stop_time = time()
for evt in events:
evt.wait()
evt_start.wait()
evt_end.wait()
elapsed_event = (1e-9*events[-1].profile.END
- 1e-9*events[0].profile.START) \
/ timing_rounds
try:
elapsed_event_marker = ((1e-9 * evt_end.profile.START -
1e-9 * evt_start.profile.START) /
timing_rounds)
except cl.RuntimeError:
elapsed_event_marker = None
elapsed_wall = (stop_time - start_time) / timing_rounds
if elapsed_wall * timing_rounds < 0.3:
timing_rounds *= 4
else:
break
logger.info("%s: timing run done" % (knl.name))
rates = ""
for cnt, lbl in zip(op_count, op_label):
rates += " %g %s/s" % (cnt / elapsed_wall, lbl)
if not quiet:
def format_float_or_none(v):
if v is None:
return "<unavailable>"
else:
return "%g" % v
print("elapsed: %s s event, %s s marker-event %s s wall "
"(%d rounds)%s" %
(format_float_or_none(elapsed_event),
format_float_or_none(elapsed_event_marker),
format_float_or_none(elapsed_wall), timing_rounds, rates))
if do_check:
ref_rates = ""
for cnt, lbl in zip(op_count, op_label):
ref_rates += " %g %s/s" % (cnt / ref_elapsed_event, lbl)
if not quiet:
print("ref: elapsed: %g s event, %g s wall%s" %
(ref_elapsed_event, ref_elapsed_wall, ref_rates))
# }}}
result_dict = {}
result_dict["elapsed_event"] = elapsed_event
result_dict["elapsed_event_marker"] = elapsed_event_marker
result_dict["elapsed_wall"] = elapsed_wall
result_dict["timing_rounds"] = timing_rounds
if do_check:
result_dict["ref_elapsed_event"] = ref_elapsed_event
result_dict["ref_elapsed_wall"] = ref_elapsed_wall
return result_dict