62 lines
2.0 KiB
Python
62 lines
2.0 KiB
Python
# Copyright The Lightning AI 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 typing import Any, Dict
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import torch
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from lightning.pytorch import Trainer
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from lightning.pytorch.accelerators import Accelerator
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from lightning.pytorch.strategies import DDPStrategy
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def test_pluggable_accelerator(mps_count_0, cuda_count_2):
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class TestAccelerator(Accelerator):
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def setup_device(self, device: torch.device) -> None:
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pass
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def get_device_stats(self, device: torch.device) -> Dict[str, Any]:
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pass
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def teardown(self) -> None:
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pass
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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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