Move device parser tests inside Lite (#14586)

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Adrian Wälchli 2022-09-07 23:22:46 +02:00 committed by GitHub
parent 59fcabf53a
commit 95374440ce
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2 changed files with 86 additions and 63 deletions

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@ -16,7 +16,90 @@ from unittest import mock
import pytest
import torch
import lightning_lite.utilities.device_parser
from lightning_lite.utilities import device_parser
from lightning_lite.utilities.exceptions import MisconfigurationException
_PRETEND_N_OF_GPUS = 16
@pytest.fixture
def mocked_device_count(monkeypatch):
def device_count():
return _PRETEND_N_OF_GPUS
def is_available():
return True
monkeypatch.setattr(device_parser, "is_cuda_available", is_available)
monkeypatch.setattr(device_parser, "num_cuda_devices", device_count)
@pytest.fixture
def mocked_device_count_0(monkeypatch):
def device_count():
return 0
monkeypatch.setattr(device_parser, "num_cuda_devices", device_count)
@pytest.mark.parametrize(
["devices", "expected_root_gpu"],
[
pytest.param(None, None, id="No gpus, expect gpu root device to be None"),
pytest.param([0], 0, id="Oth gpu, expect gpu root device to be 0."),
pytest.param([1], 1, id="1st gpu, expect gpu root device to be 1."),
pytest.param([3], 3, id="3rd gpu, expect gpu root device to be 3."),
pytest.param([1, 2], 1, id="[1, 2] gpus, expect gpu root device to be 1."),
],
)
def test_determine_root_gpu_device(devices, expected_root_gpu):
assert device_parser.determine_root_gpu_device(devices) == expected_root_gpu
@pytest.mark.parametrize(
["devices", "expected_gpu_ids"],
[
(None, None),
(0, None),
([], None),
(1, [0]),
(3, [0, 1, 2]),
pytest.param(-1, list(range(_PRETEND_N_OF_GPUS)), id="-1 - use all gpus"),
([0], [0]),
([1, 3], [1, 3]),
((1, 3), [1, 3]),
("0", None),
("3", [0, 1, 2]),
("1, 3", [1, 3]),
("2,", [2]),
pytest.param("-1", list(range(_PRETEND_N_OF_GPUS)), id="'-1' - use all gpus"),
],
)
def test_parse_gpu_ids(mocked_device_count, devices, expected_gpu_ids):
assert device_parser.parse_gpu_ids(devices, include_cuda=True) == expected_gpu_ids
@pytest.mark.parametrize("devices", [0.1, -2, False, [-1], [None], ["0"], [0, 0]])
def test_parse_gpu_fail_on_unsupported_inputs(mocked_device_count, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
@pytest.mark.parametrize("devices", [[1, 2, 19], -1, "-1"])
def test_parse_gpu_fail_on_non_existent_id(mocked_device_count_0, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
def test_parse_gpu_fail_on_non_existent_id_2(mocked_device_count):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids([1, 2, 19], include_cuda=True)
@pytest.mark.parametrize("devices", [-1, "-1"])
def test_parse_gpu_returns_none_when_no_devices_are_available(mocked_device_count_0, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
@pytest.mark.skipif(
@ -27,5 +110,5 @@ import lightning_lite.utilities.device_parser
def test_num_cuda_devices_without_forking(*_):
"""This merely tests that on platforms without fork support our helper functions fall back to the default
implementation for determining cuda availability."""
assert lightning_lite.utilities.device_parser.is_cuda_available()
assert lightning_lite.utilities.device_parser.num_cuda_devices() == 2
assert device_parser.is_cuda_available()
assert device_parser.num_cuda_devices() == 2

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@ -109,66 +109,6 @@ def test_root_gpu_property_0_raising(mocked_device_count_0, devices, expected_ro
Trainer(accelerator="gpu", devices=devices, strategy=strategy)
@pytest.mark.parametrize(
["devices", "expected_root_gpu"],
[
pytest.param(None, None, id="No gpus, expect gpu root device to be None"),
pytest.param([0], 0, id="Oth gpu, expect gpu root device to be 0."),
pytest.param([1], 1, id="1st gpu, expect gpu root device to be 1."),
pytest.param([3], 3, id="3rd gpu, expect gpu root device to be 3."),
pytest.param([1, 2], 1, id="[1, 2] gpus, expect gpu root device to be 1."),
],
)
def test_determine_root_gpu_device(devices, expected_root_gpu):
assert device_parser.determine_root_gpu_device(devices) == expected_root_gpu
@pytest.mark.parametrize(
["devices", "expected_gpu_ids"],
[
(None, None),
(0, None),
([], None),
(1, [0]),
(3, [0, 1, 2]),
pytest.param(-1, list(range(PRETEND_N_OF_GPUS)), id="-1 - use all gpus"),
([0], [0]),
([1, 3], [1, 3]),
((1, 3), [1, 3]),
("0", None),
("3", [0, 1, 2]),
("1, 3", [1, 3]),
("2,", [2]),
pytest.param("-1", list(range(PRETEND_N_OF_GPUS)), id="'-1' - use all gpus"),
],
)
def test_parse_gpu_ids(mocked_device_count, devices, expected_gpu_ids):
assert device_parser.parse_gpu_ids(devices, include_cuda=True) == expected_gpu_ids
@pytest.mark.parametrize("devices", [0.1, -2, False, [-1], [None], ["0"], [0, 0]])
def test_parse_gpu_fail_on_unsupported_inputs(mocked_device_count, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
@pytest.mark.parametrize("devices", [[1, 2, 19], -1, "-1"])
def test_parse_gpu_fail_on_non_existent_id(mocked_device_count_0, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
def test_parse_gpu_fail_on_non_existent_id_2(mocked_device_count):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids([1, 2, 19], include_cuda=True)
@pytest.mark.parametrize("devices", [-1, "-1"])
def test_parse_gpu_returns_none_when_no_devices_are_available(mocked_device_count_0, devices):
with pytest.raises(MisconfigurationException):
device_parser.parse_gpu_ids(devices, include_cuda=True)
@mock.patch.dict(
os.environ,
{