Vehicle Researcher
6adb63b915
date: 2026-06-04T09:49:56 master commit: c0ab3550eca2e9daf197c46b7e4b24aa9637cf2e
112 lines
3.8 KiB
Python
112 lines
3.8 KiB
Python
import unittest, time
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from unittest.case import skipIf
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from extra.bench_log import BenchEvent, InstantBenchEvent, WallTimeEvent, KernelTimeEvent, log_event_instant, _events, clear_events
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from tinygrad.helpers import Context
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from tinygrad.tensor import Tensor
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from tinygrad.device import Device
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from test.helpers import CI
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_SKIP_KERNEL_TIMING = Device.DEFAULT == "WEBGPU" # WEBGPU kernel timing not supported
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class TestBenchLog(unittest.TestCase):
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def setUp(self):
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clear_events()
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def test_log_single_wall_time(self):
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for event in BenchEvent:
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with WallTimeEvent(event):
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time.sleep(0.1)
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# check event list
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for event in BenchEvent:
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self.assertEqual(len(_events[event]["wall"]), 1)
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self.assertGreater(_events[event]["wall"][0], 0)
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def test_log_double_wall_time(self):
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for event in BenchEvent:
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with WallTimeEvent(event):
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time.sleep(0.1)
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for event in reversed(BenchEvent):
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with WallTimeEvent(event):
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time.sleep(0.2)
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# check event list
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for event in BenchEvent:
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self.assertEqual(len(_events[event]["wall"]), 2)
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self.assertGreater(_events[event]["wall"][0], 0)
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self.assertGreater(_events[event]["wall"][1], 0)
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@skipIf(CI or _SKIP_KERNEL_TIMING, "ci timing is not accurate")
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def test_log_single_kernel_time(self):
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wall_times = []
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with Context(DEBUG=2):
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for event in BenchEvent:
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with KernelTimeEvent(event):
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st = time.perf_counter()
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Tensor.rand(32, 32).sum().realize().item()
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wall_times.append(time.perf_counter() - st)
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# check event list
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for event in BenchEvent:
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self.assertEqual(len(_events[event]["kernel"]), 1)
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self.assertLess(_events[event]["kernel"][0], wall_times[0])
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self.assertGreater(_events[event]["kernel"][0], 0)
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@skipIf((CI and Device.DEFAULT == "CUDA") or _SKIP_KERNEL_TIMING, "ci cuda timing is not accurate")
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def test_interleaved_wall_kernel_time(self):
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wall_times = []
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with Context(DEBUG=2):
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for event in BenchEvent:
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with KernelTimeEvent(event):
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st = time.perf_counter()
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Tensor.rand(32, 32).sum().realize().item()
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wall_times.append(time.perf_counter() - st)
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with WallTimeEvent(event):
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st = time.perf_counter()
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Tensor.rand(32, 32).sum().realize().item()
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wall_times.append(time.perf_counter() - st)
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# check event list
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for event in BenchEvent:
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self.assertEqual(len(_events[event]["wall"]), 1)
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self.assertEqual(len(_events[event]["kernel"]), 1)
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self.assertLess(_events[event]["kernel"][0], wall_times[0])
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self.assertGreater(_events[event]["kernel"][0], 0)
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@skipIf((CI and Device.DEFAULT == "CUDA") or _SKIP_KERNEL_TIMING, "ci cuda timing is not accurate")
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def test_stacked_wall_kernel_time(self):
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with Context(DEBUG=2):
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for event in BenchEvent:
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with KernelTimeEvent(event):
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with WallTimeEvent(event):
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Tensor.rand(32, 32).sum().realize().item()
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for event in BenchEvent:
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with WallTimeEvent(event):
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with KernelTimeEvent(event):
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Tensor.rand(32, 32).sum().realize().item()
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for event in BenchEvent:
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self.assertEqual(len(_events[event]["wall"]), 2)
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self.assertEqual(len(_events[event]["kernel"]), 2)
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self.assertLess(_events[event]["kernel"][0], _events[event]["wall"][0])
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self.assertGreater(_events[event]["kernel"][0], 0)
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self.assertLess(_events[event]["kernel"][1], _events[event]["wall"][1])
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self.assertGreater(_events[event]["kernel"][1], 0)
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def test_log_instant_event(self):
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for event in InstantBenchEvent:
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log_event_instant(event, 1000)
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# check event list
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for event in InstantBenchEvent:
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self.assertEqual(len(_events[event]), 1)
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self.assertEqual(_events[event][0], 1000)
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if __name__ == '__main__':
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unittest.main()
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