Organize test folders (#856)
Co-authored-by: Steven Palma <imstevenpmwork@ieee.org>
This commit is contained in:
56
tests/optim/test_optimizers.py
Normal file
56
tests/optim/test_optimizers.py
Normal file
@@ -0,0 +1,56 @@
|
||||
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# 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
|
||||
import torch
|
||||
|
||||
from lerobot.common.constants import (
|
||||
OPTIMIZER_PARAM_GROUPS,
|
||||
OPTIMIZER_STATE,
|
||||
)
|
||||
from lerobot.common.optim.optimizers import (
|
||||
AdamConfig,
|
||||
AdamWConfig,
|
||||
SGDConfig,
|
||||
load_optimizer_state,
|
||||
save_optimizer_state,
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"config_cls, expected_class",
|
||||
[
|
||||
(AdamConfig, torch.optim.Adam),
|
||||
(AdamWConfig, torch.optim.AdamW),
|
||||
(SGDConfig, torch.optim.SGD),
|
||||
],
|
||||
)
|
||||
def test_optimizer_build(config_cls, expected_class, model_params):
|
||||
config = config_cls()
|
||||
optimizer = config.build(model_params)
|
||||
assert isinstance(optimizer, expected_class)
|
||||
assert optimizer.defaults["lr"] == config.lr
|
||||
|
||||
|
||||
def test_save_optimizer_state(optimizer, tmp_path):
|
||||
save_optimizer_state(optimizer, tmp_path)
|
||||
assert (tmp_path / OPTIMIZER_STATE).is_file()
|
||||
assert (tmp_path / OPTIMIZER_PARAM_GROUPS).is_file()
|
||||
|
||||
|
||||
def test_save_and_load_optimizer_state(model_params, optimizer, tmp_path):
|
||||
save_optimizer_state(optimizer, tmp_path)
|
||||
loaded_optimizer = AdamConfig().build(model_params)
|
||||
loaded_optimizer = load_optimizer_state(loaded_optimizer, tmp_path)
|
||||
|
||||
torch.testing.assert_close(optimizer.state_dict(), loaded_optimizer.state_dict())
|
||||
Reference in New Issue
Block a user