60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
# Copyright The PyTorch Lightning team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from unittest import mock
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from pytorch_lightning import Trainer
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from pytorch_lightning.accelerators import Accelerator, CPUAccelerator, GPUAccelerator, IPUAccelerator, TPUAccelerator
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from pytorch_lightning.strategies import DDPStrategy
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@mock.patch("torch.cuda.device_count", return_value=2)
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def test_auto_device_count(device_count_mock):
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assert CPUAccelerator.auto_device_count() == 1
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assert GPUAccelerator.auto_device_count() == 2
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assert TPUAccelerator.auto_device_count() == 8
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assert IPUAccelerator.auto_device_count() == 4
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def test_pluggable_accelerator():
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class TestAccelerator(Accelerator):
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@staticmethod
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def parse_devices(devices):
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return devices
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@staticmethod
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def get_parallel_devices(devices):
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return ["foo"] * devices
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@staticmethod
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def auto_device_count():
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return 3
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@staticmethod
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def is_available():
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return True
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@staticmethod
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def name():
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return "custom_acc_name"
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trainer = Trainer(accelerator=TestAccelerator(), devices=2, strategy="ddp")
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assert isinstance(trainer.accelerator, TestAccelerator)
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assert isinstance(trainer.strategy, DDPStrategy)
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assert trainer.strategy.parallel_devices == ["foo"] * 2
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trainer = Trainer(strategy=DDPStrategy(TestAccelerator()), devices="auto")
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assert isinstance(trainer.accelerator, TestAccelerator)
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assert isinstance(trainer.strategy, DDPStrategy)
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assert trainer.strategy.parallel_devices == ["foo"] * 3
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