69 lines
2.4 KiB
Python
69 lines
2.4 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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import os
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from unittest import mock
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from unittest.mock import MagicMock
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import pytest
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import torch
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from torch.utils.data import DataLoader
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from lightning.pytorch import Trainer
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from lightning.pytorch.demos.boring_classes import BoringModel, RandomDataset
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from lightning.pytorch.strategies import TPUSpawnStrategy
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from tests_pytorch.helpers.dataloaders import CustomNotImplementedErrorDataloader
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from tests_pytorch.helpers.runif import RunIf
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class BoringModelNoDataloaders(BoringModel):
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def train_dataloader(self):
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raise NotImplementedError
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def val_dataloader(self):
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raise NotImplementedError
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def test_dataloader(self):
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raise NotImplementedError
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def predict_dataloader(self):
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raise NotImplementedError
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_loader = DataLoader(RandomDataset(32, 64))
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_loader_no_len = CustomNotImplementedErrorDataloader(_loader)
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def test_error_process_iterable_dataloader(xla_available):
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strategy = TPUSpawnStrategy(MagicMock())
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with pytest.raises(TypeError, match="TPUs do not currently support"):
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strategy.process_dataloader(_loader_no_len)
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class BoringModelTPU(BoringModel):
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def on_train_start(self) -> None:
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# assert strategy attributes for device setting
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assert self.device == torch.device("xla", index=1)
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assert os.environ.get("PT_XLA_DEBUG") == "1"
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@RunIf(tpu=True, standalone=True)
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@mock.patch.dict(os.environ, os.environ.copy(), clear=True)
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def test_model_tpu_one_core():
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"""Tests if device/debug flag is set correctly when training and after teardown for TPUSpawnStrategy."""
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model = BoringModelTPU()
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trainer = Trainer(accelerator="tpu", devices=1, fast_dev_run=True, strategy=TPUSpawnStrategy(debug=True))
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assert isinstance(trainer.strategy, TPUSpawnStrategy)
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trainer.fit(model)
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assert "PT_XLA_DEBUG" not in os.environ
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