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split tests for deprecated api (#5071) 

* imports

* imports

* flake8

Co-authored-by: Rohit Gupta <rohitgr1998@gmail.com>
This commit is contained in:
Jirka Borovec 2020-12-12 15:55:11 +01:00 committed by GitHub
parent 3100b7839a
commit b50ad9ee95
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3 changed files with 78 additions and 83 deletions
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21
tests/deprecated_api/__init__.py Normal file
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@ -0,0 +1,21 @@
# 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 vX.Y.Z"""
import sys
def _soft_unimport_module(str_module):
# once the module is imported e.g with parsing with pytest it lives in memory
if str_module in sys.modules:
del sys.modules[str_module]

45
tests/deprecated_api/test_remove_1-2.py Normal file
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@ -0,0 +1,45 @@
# 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 vX.Y.Z"""
import pytest
import torch
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.utilities.exceptions import MisconfigurationException
def test_tbd_remove_in_v1_2_0():
with pytest.deprecated_call(match='will be removed in v1.2'):
ModelCheckpoint(filepath='..')
with pytest.deprecated_call(match='will be removed in v1.2'):
ModelCheckpoint('..')
with pytest.raises(MisconfigurationException, match='inputs which are not feasible'):
ModelCheckpoint(filepath='..', dirpath='.')
def test_tbd_remove_in_v1_2_0_metrics():
from pytorch_lightning.metrics.classification import Fbeta
from pytorch_lightning.metrics.functional.classification import f1_score, fbeta_score
with pytest.deprecated_call(match='will be removed in v1.2'):
Fbeta(2)
with pytest.deprecated_call(match='will be removed in v1.2'):
fbeta_score(torch.tensor([0, 1, 2, 3]), torch.tensor([0, 1, 2, 1]), 0.2)
with pytest.deprecated_call(match='will be removed in v1.2'):
f1_score(torch.tensor([0, 1, 0, 1]), torch.tensor([0, 1, 0, 0]))

95
tests/test_deprecated.py → tests/deprecated_api/test_remove_1-3.py
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@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""Test deprecated functionality which will be removed in vX.Y.Z"""
import sys
from argparse import ArgumentParser
from unittest import mock
@ -21,10 +20,8 @@ import torch
from pytorch_lightning import LightningModule, Trainer
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.metrics.functional.classification import auc
from pytorch_lightning.profiler.profilers import PassThroughProfiler, SimpleProfiler
from pytorch_lightning.utilities.exceptions import MisconfigurationException
from tests.base import EvalModelTemplate
def test_tbd_remove_in_v1_3_0(tmpdir):
@ -52,27 +49,27 @@ def test_tbd_remove_in_v1_3_0(tmpdir):
def test_tbd_remove_in_v1_3_0_metrics():
from pytorch_lightning.metrics.functional.classification import to_onehot
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import to_onehot
to_onehot(torch.tensor([1, 2, 3]))
from pytorch_lightning.metrics.functional.classification import to_categorical
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import to_categorical
to_categorical(torch.tensor([[0.2, 0.5], [0.9, 0.1]]))
from pytorch_lightning.metrics.functional.classification import get_num_classes
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import get_num_classes
get_num_classes(pred=torch.tensor([0, 1]), target=torch.tensor([1, 1]))
x_binary = torch.tensor([0, 1, 2, 3])
y_binary = torch.tensor([0, 1, 2, 3])
from pytorch_lightning.metrics.functional.classification import roc
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import roc
roc(pred=x_binary, target=y_binary)
from pytorch_lightning.metrics.functional.classification import _roc
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import _roc
_roc(pred=x_binary, target=y_binary)
x_multy = torch.tensor([[0.85, 0.05, 0.05, 0.05],
@ -81,64 +78,40 @@ def test_tbd_remove_in_v1_3_0_metrics():
[0.05, 0.05, 0.05, 0.85]])
y_multy = torch.tensor([0, 1, 3, 2])
from pytorch_lightning.metrics.functional.classification import multiclass_roc
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import multiclass_roc
multiclass_roc(pred=x_multy, target=y_multy)
from pytorch_lightning.metrics.functional.classification import average_precision
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import average_precision
average_precision(pred=x_binary, target=y_binary)
from pytorch_lightning.metrics.functional.classification import precision_recall_curve
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import precision_recall_curve
precision_recall_curve(pred=x_binary, target=y_binary)
from pytorch_lightning.metrics.functional.classification import multiclass_precision_recall_curve
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.classification import multiclass_precision_recall_curve
multiclass_precision_recall_curve(pred=x_multy, target=y_multy)
from pytorch_lightning.metrics.functional.reduction import reduce
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.reduction import reduce
reduce(torch.tensor([0, 1, 1, 0]), 'sum')
from pytorch_lightning.metrics.functional.reduction import class_reduce
with pytest.deprecated_call(match='will be removed in v1.3'):
from pytorch_lightning.metrics.functional.reduction import class_reduce
class_reduce(torch.randint(1, 10, (50,)).float(),
torch.randint(10, 20, (50,)).float(),
torch.randint(1, 100, (50,)).float())
def test_tbd_remove_in_v1_2_0():
with pytest.deprecated_call(match='will be removed in v1.2'):
checkpoint_cb = ModelCheckpoint(filepath='.')
with pytest.deprecated_call(match='will be removed in v1.2'):
checkpoint_cb = ModelCheckpoint('.')
with pytest.raises(MisconfigurationException, match='inputs which are not feasible'):
checkpoint_cb = ModelCheckpoint(filepath='.', dirpath='.')
def test_tbd_remove_in_v1_2_0_metrics():
from pytorch_lightning.metrics.classification import Fbeta
from pytorch_lightning.metrics.functional.classification import f1_score, fbeta_score
with pytest.deprecated_call(match='will be removed in v1.2'):
Fbeta(2)
with pytest.deprecated_call(match='will be removed in v1.2'):
fbeta_score(torch.tensor([0, 1, 2, 3]), torch.tensor([0, 1, 2, 1]), 0.2)
with pytest.deprecated_call(match='will be removed in v1.2'):
f1_score(torch.tensor([0, 1, 0, 1]), torch.tensor([0, 1, 0, 0]))
# TODO: remove bool from Trainer.profiler param in v1.3.0, update profiler_connector.py
@pytest.mark.parametrize(['profiler', 'expected'], [
(True, SimpleProfiler),
(False, PassThroughProfiler),
])
def test_trainer_profiler_remove_in_v1_3_0(profiler, expected):
# remove bool from Trainer.profiler param in v1.3.0, update profiler_connector.py
with pytest.deprecated_call(match='will be removed in v1.3'):
trainer = Trainer(profiler=profiler)
assert isinstance(trainer.profiler, expected)
@ -162,47 +135,3 @@ def test_trainer_cli_profiler_remove_in_v1_3_0(cli_args, expected_parsed_arg, ex
assert getattr(args, "profiler") == expected_parsed_arg
trainer = Trainer.from_argparse_args(args)
assert isinstance(trainer.profiler, expected_profiler)
def _soft_unimport_module(str_module):
# once the module is imported e.g with parsing with pytest it lives in memory
if str_module in sys.modules:
del sys.modules[str_module]
class ModelVer0_6(EvalModelTemplate):
# todo: this shall not be needed while evaluate asks for dataloader explicitly
def val_dataloader(self):
return self.dataloader(train=False)
def validation_step(self, batch, batch_idx, *args, **kwargs):
return {'val_loss': torch.tensor(0.6)}
def validation_end(self, outputs):
return {'val_loss': torch.tensor(0.6)}
def test_dataloader(self):
return self.dataloader(train=False)
def test_end(self, outputs):
return {'test_loss': torch.tensor(0.6)}
class ModelVer0_7(EvalModelTemplate):
# todo: this shall not be needed while evaluate asks for dataloader explicitly
def val_dataloader(self):
return self.dataloader(train=False)
def validation_step(self, batch, batch_idx, *args, **kwargs):
return {'val_loss': torch.tensor(0.7)}
def validation_end(self, outputs):
return {'val_loss': torch.tensor(0.7)}
def test_dataloader(self):
return self.dataloader(train=False)
def test_end(self, outputs):
return {'test_loss': torch.tensor(0.7)}