forked from Lightning-AI/pytorch-lightning
-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathtest_plugins_registry.py
83 lines (67 loc) · 2.73 KB
/
test_plugins_registry.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
# 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 TrainingTypePluginsRegistry
from pytorch_lightning.plugins.training_type.deepspeed import DeepSpeedPlugin
from tests.helpers.runif import RunIf
def test_training_type_plugins_registry_with_new_plugin():
class TestPlugin:
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 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,
"cpu_offload": True
}),
("deepspeed_stage_3", {
"stage": 3
}),
("deepspeed_stage_3_offload", {
"stage": 3,
"cpu_offload": 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_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)