110 lines
3.5 KiB
Python
110 lines
3.5 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.
|
|
import pytest
|
|
|
|
from pytorch_lightning import Trainer
|
|
from pytorch_lightning.plugins import DDPPlugin, DeepSpeedPlugin, TPUSpawnPlugin, TrainingTypePluginsRegistry
|
|
from tests.helpers.runif import RunIf
|
|
|
|
|
|
def test_training_type_plugins_registry_with_new_plugin():
|
|
|
|
class TestPlugin:
|
|
|
|
distributed_backend = "test_plugin"
|
|
|
|
def __init__(self, param1, param2):
|
|
self.param1 = param1
|
|
self.param2 = param2
|
|
|
|
plugin_name = "test_plugin"
|
|
plugin_description = "Test Plugin"
|
|
|
|
TrainingTypePluginsRegistry.register(
|
|
plugin_name, TestPlugin, description=plugin_description, param1="abc", param2=123
|
|
)
|
|
|
|
assert plugin_name in TrainingTypePluginsRegistry
|
|
assert TrainingTypePluginsRegistry[plugin_name]["description"] == plugin_description
|
|
assert TrainingTypePluginsRegistry[plugin_name]["init_params"] == {"param1": "abc", "param2": 123}
|
|
assert TrainingTypePluginsRegistry[plugin_name]["distributed_backend"] == "test_plugin"
|
|
assert isinstance(TrainingTypePluginsRegistry.get(plugin_name), TestPlugin)
|
|
|
|
TrainingTypePluginsRegistry.remove(plugin_name)
|
|
assert plugin_name not in TrainingTypePluginsRegistry
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"plugin_name, init_params",
|
|
[
|
|
("deepspeed", {}),
|
|
("deepspeed_stage_2", {
|
|
"stage": 2
|
|
}),
|
|
("deepspeed_stage_2_offload", {
|
|
"stage": 2,
|
|
"offload_optimizer": True
|
|
}),
|
|
("deepspeed_stage_3", {
|
|
"stage": 3
|
|
}),
|
|
("deepspeed_stage_3_offload", {
|
|
"stage": 3,
|
|
"offload_parameters": True,
|
|
"offload_optimizer": True
|
|
}),
|
|
],
|
|
)
|
|
def test_training_type_plugins_registry_with_deepspeed_plugins(plugin_name, init_params):
|
|
|
|
assert plugin_name in TrainingTypePluginsRegistry
|
|
assert TrainingTypePluginsRegistry[plugin_name]["init_params"] == init_params
|
|
assert TrainingTypePluginsRegistry[plugin_name]["plugin"] == DeepSpeedPlugin
|
|
|
|
|
|
@RunIf(deepspeed=True)
|
|
@pytest.mark.parametrize("plugin", ["deepspeed", "deepspeed_stage_2_offload", "deepspeed_stage_3"])
|
|
def test_deepspeed_training_type_plugins_registry_with_trainer(tmpdir, plugin):
|
|
|
|
trainer = Trainer(
|
|
default_root_dir=tmpdir,
|
|
plugins=plugin,
|
|
precision=16,
|
|
)
|
|
|
|
assert isinstance(trainer.training_type_plugin, DeepSpeedPlugin)
|
|
|
|
|
|
def test_ddp_training_type_plugins_registry_with_trainer(tmpdir):
|
|
|
|
trainer = Trainer(
|
|
default_root_dir=tmpdir,
|
|
plugins="ddp_find_unused_parameters_false",
|
|
)
|
|
|
|
assert isinstance(trainer.training_type_plugin, DDPPlugin)
|
|
|
|
|
|
def test_tpu_spawn_debug_plugins_registry(tmpdir):
|
|
|
|
plugin = "tpu_spawn_debug"
|
|
|
|
assert plugin in TrainingTypePluginsRegistry
|
|
assert TrainingTypePluginsRegistry[plugin]["init_params"] == {"debug": True}
|
|
assert TrainingTypePluginsRegistry[plugin]["plugin"] == TPUSpawnPlugin
|
|
|
|
trainer = Trainer(plugins=plugin)
|
|
|
|
assert isinstance(trainer.training_type_plugin, TPUSpawnPlugin)
|