83 lines
2.1 KiB
Python
83 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 pytorch_lightning import Trainer
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from tests.helpers.boring_model import BoringModel
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from tests.helpers.runif import RunIf
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class TrainerGetModel(BoringModel):
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def on_fit_start(self):
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assert self == self.trainer.lightning_module
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def on_fit_end(self):
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assert self == self.trainer.lightning_module
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def test_get_model(tmpdir):
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"""
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Tests that `trainer.lightning_module` extracts the model correctly
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"""
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model = TrainerGetModel()
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limit_train_batches = 2
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trainer = Trainer(
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default_root_dir=tmpdir,
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limit_train_batches=limit_train_batches,
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limit_val_batches=2,
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max_epochs=1,
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)
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trainer.fit(model)
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@RunIf(skip_windows=True)
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def test_get_model_ddp_cpu(tmpdir):
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"""
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Tests that `trainer.lightning_module` extracts the model correctly when using ddp on cpu
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"""
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model = TrainerGetModel()
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limit_train_batches = 2
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trainer = Trainer(
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default_root_dir=tmpdir,
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limit_train_batches=limit_train_batches,
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limit_val_batches=2,
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max_epochs=1,
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accelerator='ddp_cpu',
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num_processes=2,
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)
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trainer.fit(model)
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@RunIf(min_gpus=1)
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def test_get_model_gpu(tmpdir):
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"""
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Tests that `trainer.lightning_module` extracts the model correctly when using GPU
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"""
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model = TrainerGetModel()
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limit_train_batches = 2
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trainer = Trainer(
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default_root_dir=tmpdir,
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limit_train_batches=limit_train_batches,
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limit_val_batches=2,
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max_epochs=1,
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gpus=1,
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)
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trainer.fit(model)
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