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563e2ba2c6
* add more underline * fix LightningMudule import error * remove unneeded blank line * escape asterisk to fix inline emphasis warning * add PULL_REQUEST_TEMPLATE.md * add __init__.py and import imagenet_example * fix duplicate label * add noindex option to fix duplicate object warnings * remove unexpected indent * refer explicit LightningModule * fix minor bug * refer EarlyStopping explicitly * restore exclude patterns * change the way how to refer class * remove unused import * update badges & drop Travis/Appveyor (#826) * drop Travis * drop Appveyor * update badges * fix missing PyPI images & CI badges (#853) * docs - anchor links (#848) * docs - add links * add desc. * add Greeting action (#843) * add Greeting action * Update greetings.yml Co-authored-by: William Falcon <waf2107@columbia.edu> * add pep8speaks (#842) * advanced profiler describe + cleaned up tests (#837) * add py36 compatibility * add test case to capture previous bug * clean up tests * clean up tests * Update lightning_module_template.py * Update lightning.py * respond lint issues * break long line * break more lines * checkout conflicting files from master * shorten url * checkout from upstream/master * remove trailing whitespaces * remove unused import LightningModule * fix sphinx bot warnings * Apply suggestions from code review just to trigger CI * Update .github/workflows/greetings.yml Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu> Co-authored-by: Jeremy Jordan <13970565+jeremyjordan@users.noreply.github.com>
91 lines
2.9 KiB
Python
91 lines
2.9 KiB
Python
import time
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import numpy as np
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import pytest
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from pytorch_lightning.profiler import Profiler, AdvancedProfiler
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PROFILER_OVERHEAD_MAX_TOLERANCE = 0.0001
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@pytest.fixture
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def simple_profiler():
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profiler = Profiler()
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return profiler
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@pytest.fixture
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def advanced_profiler():
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profiler = AdvancedProfiler()
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return profiler
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@pytest.mark.parametrize("action,expected", [("a", [3, 1]), ("b", [2]), ("c", [1])])
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def test_simple_profiler_durations(simple_profiler, action, expected):
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"""Ensure the reported durations are reasonably accurate."""
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for duration in expected:
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with simple_profiler.profile(action):
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time.sleep(duration)
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# different environments have different precision when it comes to time.sleep()
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# see: https://github.com/PyTorchLightning/pytorch-lightning/issues/796
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np.testing.assert_allclose(
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simple_profiler.recorded_durations[action], expected, rtol=0.2
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)
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def test_simple_profiler_overhead(simple_profiler, n_iter=5):
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"""Ensure that the profiler doesn't introduce too much overhead during training."""
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for _ in range(n_iter):
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with simple_profiler.profile("no-op"):
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pass
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durations = np.array(simple_profiler.recorded_durations["no-op"])
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assert all(durations < PROFILER_OVERHEAD_MAX_TOLERANCE)
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def test_simple_profiler_describe(simple_profiler):
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"""Ensure the profiler won't fail when reporting the summary."""
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simple_profiler.describe()
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@pytest.mark.parametrize("action,expected", [("a", [3, 1]), ("b", [2]), ("c", [1])])
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def test_advanced_profiler_durations(advanced_profiler, action, expected):
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def _get_total_duration(profile):
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return sum([x.totaltime for x in profile.getstats()])
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for duration in expected:
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with advanced_profiler.profile(action):
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time.sleep(duration)
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# different environments have different precision when it comes to time.sleep()
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# see: https://github.com/PyTorchLightning/pytorch-lightning/issues/796
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recored_total_duration = _get_total_duration(
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advanced_profiler.profiled_actions[action]
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)
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expected_total_duration = np.sum(expected)
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np.testing.assert_allclose(
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recored_total_duration, expected_total_duration, rtol=0.2
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)
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def test_advanced_profiler_overhead(advanced_profiler, n_iter=5):
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"""
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ensure that the profiler doesn't introduce too much overhead during training
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"""
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for _ in range(n_iter):
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with advanced_profiler.profile("no-op"):
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pass
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action_profile = advanced_profiler.profiled_actions["no-op"]
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total_duration = sum([x.totaltime for x in action_profile.getstats()])
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average_duration = total_duration / n_iter
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assert average_duration < PROFILER_OVERHEAD_MAX_TOLERANCE
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def test_advanced_profiler_describe(advanced_profiler):
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"""
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ensure the profiler won't fail when reporting the summary
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"""
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advanced_profiler.describe()
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