69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
# Copyright The PyTorch Lightning team.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
"""Test deprecated functionality which will be removed in v1.4.0"""
|
|
|
|
import pytest
|
|
|
|
from pytorch_lightning import Trainer
|
|
from tests.deprecated_api import _soft_unimport_module
|
|
from tests.helpers import BoringModel
|
|
|
|
|
|
def test_v1_4_0_deprecated_imports():
|
|
_soft_unimport_module('pytorch_lightning.utilities.argparse_utils')
|
|
with pytest.deprecated_call(match='will be removed in v1.4'):
|
|
from pytorch_lightning.utilities.argparse_utils import _gpus_arg_default # noqa: F811 F401
|
|
|
|
|
|
def test_v1_4_0_deprecated_manual_optimization_optimizer(tmpdir):
|
|
|
|
class TestModel(BoringModel):
|
|
|
|
def training_step(self, batch, *_, **kwargs):
|
|
opt = self.optimizers()
|
|
output = self.layer(batch)
|
|
loss = self.loss(batch, output)
|
|
self.manual_backward(loss, opt)
|
|
|
|
@property
|
|
def automatic_optimization(self):
|
|
return False
|
|
|
|
model = TestModel()
|
|
model.training_epoch_end = None
|
|
trainer = Trainer(
|
|
default_root_dir=tmpdir,
|
|
fast_dev_run=True,
|
|
)
|
|
with pytest.deprecated_call(
|
|
match="`optimizer` argument to `manual_backward` is deprecated in v1.2 and will be removed in v1.4"
|
|
):
|
|
trainer.fit(model)
|
|
|
|
|
|
def test_v1_4_0_deprecated_checkpoint_on(tmpdir):
|
|
from pytorch_lightning.callbacks.model_checkpoint import warning_cache
|
|
warning_cache.clear()
|
|
|
|
class TestModel(BoringModel):
|
|
|
|
def training_step(self, batch, batch_idx):
|
|
self.log("val_loss", -batch_idx)
|
|
return super().training_step(batch, batch_idx)
|
|
|
|
trainer = Trainer(default_root_dir=tmpdir, checkpoint_callback=True, max_epochs=1)
|
|
|
|
with pytest.deprecated_call(match=r"Relying on.*is deprecated in v1.2 and will be removed in v1.4"):
|
|
trainer.fit(TestModel())
|