openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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import unittest, time
from unittest.case import skipIf
from extra.bench_log import BenchEvent, InstantBenchEvent, WallTimeEvent, KernelTimeEvent, log_event_instant, _events, clear_events
from tinygrad.helpers import Context, CI
from tinygrad.tensor import Tensor
from tinygrad.device import Device
class TestBenchLog(unittest.TestCase):
def setUp(self):
clear_events()
def test_log_single_wall_time(self):
for event in BenchEvent:
with WallTimeEvent(event):
time.sleep(0.1)
# check event list
for event in BenchEvent:
self.assertEqual(len(_events[event]["wall"]), 1)
self.assertGreater(_events[event]["wall"][0], 0)
def test_log_double_wall_time(self):
for event in BenchEvent:
with WallTimeEvent(event):
time.sleep(0.1)
for event in reversed(BenchEvent):
with WallTimeEvent(event):
time.sleep(0.2)
# check event list
for event in BenchEvent:
self.assertEqual(len(_events[event]["wall"]), 2)
self.assertGreater(_events[event]["wall"][0], 0)
self.assertGreater(_events[event]["wall"][1], 0)
@skipIf(CI and Device.DEFAULT == "CUDA", "ci cuda timing is not accurate")
def test_log_single_kernel_time(self):
wall_times = []
with Context(DEBUG=2):
for event in BenchEvent:
with KernelTimeEvent(event):
st = time.perf_counter()
Tensor.rand(32, 32).sum().realize().item()
wall_times.append(time.perf_counter() - st)
# check event list
for event in BenchEvent:
self.assertEqual(len(_events[event]["kernel"]), 1)
self.assertLess(_events[event]["kernel"][0], wall_times[0])
self.assertGreater(_events[event]["kernel"][0], 0)
@skipIf(CI and Device.DEFAULT == "CUDA", "ci cuda timing is not accurate")
def test_interleaved_wall_kernel_time(self):
wall_times = []
with Context(DEBUG=2):
for event in BenchEvent:
with KernelTimeEvent(event):
st = time.perf_counter()
Tensor.rand(32, 32).sum().realize().item()
wall_times.append(time.perf_counter() - st)
with WallTimeEvent(event):
st = time.perf_counter()
Tensor.rand(32, 32).sum().realize().item()
wall_times.append(time.perf_counter() - st)
# check event list
for event in BenchEvent:
self.assertEqual(len(_events[event]["wall"]), 1)
self.assertEqual(len(_events[event]["kernel"]), 1)
self.assertLess(_events[event]["kernel"][0], wall_times[0])
self.assertGreater(_events[event]["kernel"][0], 0)
@skipIf(CI and Device.DEFAULT == "CUDA", "ci cuda timing is not accurate")
def test_stacked_wall_kernel_time(self):
with Context(DEBUG=2):
for event in BenchEvent:
with KernelTimeEvent(event):
with WallTimeEvent(event):
Tensor.rand(32, 32).sum().realize().item()
for event in BenchEvent:
with WallTimeEvent(event):
with KernelTimeEvent(event):
Tensor.rand(32, 32).sum().realize().item()
for event in BenchEvent:
self.assertEqual(len(_events[event]["wall"]), 2)
self.assertEqual(len(_events[event]["kernel"]), 2)
self.assertLess(_events[event]["kernel"][0], _events[event]["wall"][0])
self.assertGreater(_events[event]["kernel"][0], 0)
self.assertLess(_events[event]["kernel"][1], _events[event]["wall"][1])
self.assertGreater(_events[event]["kernel"][1], 0)
def test_log_instant_event(self):
for event in InstantBenchEvent:
log_event_instant(event, 1000)
# check event list
for event in InstantBenchEvent:
self.assertEqual(len(_events[event]), 1)
self.assertEqual(_events[event][0], 1000)
if __name__ == '__main__':
unittest.main()