89 lines
3.2 KiB
Python
89 lines
3.2 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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""" Test deprecated functionality which will be removed in v1.6.0 """
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import pytest
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from pytorch_lightning import Trainer
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from pytorch_lightning.plugins.training_type import DDPPlugin, DDPSpawnPlugin
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from tests.helpers import BoringModel
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def test_v1_6_0_trainer_model_hook_mixin(tmpdir):
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model = BoringModel()
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trainer = Trainer(default_root_dir=tmpdir, max_epochs=1, checkpoint_callback=False, logger=False)
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trainer.fit(model)
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with pytest.deprecated_call(match="is deprecated in v1.4 and will be removed in v1.6"):
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trainer.is_function_implemented("training_step", model)
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with pytest.deprecated_call(match="is deprecated in v1.4 and will be removed in v1.6"):
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trainer.has_arg("training_step", "batch")
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def test_old_transfer_batch_to_device_hook(tmpdir):
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class OldModel(BoringModel):
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def transfer_batch_to_device(self, batch, device):
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return super().transfer_batch_to_device(batch, device, None)
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trainer = Trainer(default_root_dir=tmpdir, limit_train_batches=1, limit_val_batches=0, max_epochs=1)
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with pytest.deprecated_call(match='old signature will be removed in v1.6'):
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trainer.fit(OldModel())
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def test_v1_6_0_ddp_num_nodes():
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with pytest.deprecated_call(match="Argument `num_nodes` in `DDPPlugin` is deprecated in v1.4"):
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DDPPlugin(num_nodes=1)
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def test_v1_6_0_ddp_sync_batchnorm():
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with pytest.deprecated_call(match="Argument `sync_batchnorm` in `DDPPlugin` is deprecated in v1.4"):
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DDPPlugin(sync_batchnorm=False)
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def test_v1_6_0_ddp_spawn_num_nodes():
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with pytest.deprecated_call(match="Argument `num_nodes` in `DDPPlugin` is deprecated in v1.4"):
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DDPSpawnPlugin(num_nodes=1)
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def test_v1_6_0_ddp_spawn_sync_batchnorm():
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with pytest.deprecated_call(match="Argument `sync_batchnorm` in `DDPPlugin` is deprecated in v1.4"):
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DDPSpawnPlugin(sync_batchnorm=False)
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def test_v1_6_0_tbptt_reduce_fx(tmpdir):
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class TestModel(BoringModel):
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def training_step(self, *args):
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self.log("foo", 1, tbptt_reduce_fx=lambda x: x)
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return super().training_step(*args)
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trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=True)
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with pytest.deprecated_call(match=r"tbptt_reduce_fx=...\)` is no longer supported"):
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trainer.fit(TestModel())
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def test_v1_6_0_tbptt_pad_token(tmpdir):
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class TestModel(BoringModel):
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def training_step(self, *args):
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self.log("foo", 1, tbptt_pad_token=0)
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return super().training_step(*args)
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trainer = Trainer(default_root_dir=tmpdir, fast_dev_run=True)
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with pytest.deprecated_call(match=r"tbptt_pad_token=...\)` is no longer supported"):
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trainer.fit(TestModel())
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