lightning/tests/plugins/test_plugin_properties.py

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Allow string plugins (#4888) * Allow plugin to be chosen via string * Fix implementation, add tests * Fix codefactor issues * Added missing env patch * Skip test for windows * Reword reason * Add skip to invalid test * Create required_plugins function, move sharded amp requirement to plugin * Pass AMPType, fix setter for apex * Better doc strings * Add exception when using apex * Add trainer available_plugins function, warn user when plugins have been added automatically with option to override behaviour * Fixed pep8 indent * Fix codefactor issues * Add env variables * Update pytorch_lightning/cluster_environments/cluster_environment.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Addressed code review * Update pytorch_lightning/plugins/plugin_connector.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/plugin_connector.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Update pytorch_lightning/plugins/plugin_connector.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Addressed more code review feedback * Fixed docstrings * Swapped to verbose runtime error * Apply suggestions from code review * Apply suggestions from code review * Update pytorch_lightning/plugins/sharded_plugin.py Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * Change name * Pass trainer to plugins that may require it * Fix sharded plugin * Added test to ensure string sharded works * Removed trainer typing as this breaks pep8 * Fixed doc issues * Fixed tests Co-authored-by: chaton <thomas@grid.ai> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
2020-12-01 20:30:49 +00:00
# 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.
from pytorch_lightning import Trainer
from pytorch_lightning.plugins.plugin_connector import LightningCustomPlugins, PluginConnector
def test_available_plugins_trainer():
""" Test that available plugins return the correct list in the trainer. """
plugins = Trainer.available_plugins()
expected_plugins = [e.name for e in LightningCustomPlugins]
assert plugins == expected_plugins
def test_available_plugins_connector():
""" Test that available plugins return the correct list in the connector. """
plugins = PluginConnector.available_plugins()
expected_plugins = [e.name for e in LightningCustomPlugins]
assert plugins == expected_plugins