57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
# Copyright The Lightning AI team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import pytest
|
|
import torch
|
|
from lightning.fabric.accelerators.mps import MPSAccelerator
|
|
from lightning.fabric.utilities.exceptions import MisconfigurationException
|
|
|
|
from tests_fabric.helpers.runif import RunIf
|
|
|
|
_MAYBE_MPS = "mps" if MPSAccelerator.is_available() else "cpu"
|
|
|
|
|
|
def test_auto_device_count():
|
|
assert MPSAccelerator.auto_device_count() == 1
|
|
|
|
|
|
@RunIf(mps=True)
|
|
def test_mps_availability():
|
|
assert MPSAccelerator.is_available()
|
|
|
|
|
|
def test_init_device_with_wrong_device_type():
|
|
with pytest.raises(ValueError, match="Device should be MPS"):
|
|
MPSAccelerator().setup_device(torch.device("cpu"))
|
|
|
|
|
|
@RunIf(mps=True)
|
|
@pytest.mark.parametrize(
|
|
("devices", "expected"),
|
|
[
|
|
(1, [torch.device(_MAYBE_MPS, 0)]),
|
|
([0], [torch.device(_MAYBE_MPS, 0)]),
|
|
("1", [torch.device(_MAYBE_MPS, 0)]),
|
|
("0,", [torch.device(_MAYBE_MPS, 0)]),
|
|
],
|
|
)
|
|
def test_get_parallel_devices(devices, expected):
|
|
assert MPSAccelerator.get_parallel_devices(devices) == expected
|
|
|
|
|
|
@RunIf(mps=True)
|
|
@pytest.mark.parametrize("devices", [2, [0, 2], "2", "0,2"])
|
|
def test_get_parallel_devices_invalid_request(devices):
|
|
with pytest.raises(MisconfigurationException, match="But your machine only has"):
|
|
MPSAccelerator.get_parallel_devices(devices)
|